2,941 results on '"Leo P"'
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2. Kepemimpinan Perempuan dalam Gereja: Membongkar Mitos dan Meninjau Realitas
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Amadea Prajna Putra Mahardika and Leo Perkasa Tanjung
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feminity ,church ,leadership ,sr ann rose nu tawng ,women’s role ,Philosophy (General) ,B1-5802 ,Practical Theology ,BV1-5099 - Abstract
This paper aims to investigate history, analyze concrete cases, and provide an in-depth look at whether and how women can play leadership roles in the Church. The method used in this research is a literature study. The case study method was also used with Sr Ann Rose Nu Tawng from Myanmar as the subject. The important result of this research is that women's leadership in the Church has a very vital function. In fact, women's leadership has various characteristics and advantages that cannot be replaced by men. Church history has proven that. Finally, the conclusion of this paper is that women should be given more opportunities and trust to take on leadership roles in the Church for the good of the Church itself.
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- 2024
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3. Robust poor man’s Majorana zero modes using Yu-Shiba-Rusinov states
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Francesco Zatelli, David van Driel, Di Xu, Guanzhong Wang, Chun-Xiao Liu, Alberto Bordin, Bart Roovers, Grzegorz P. Mazur, Nick van Loo, Jan C. Wolff, A. Mert Bozkurt, Ghada Badawy, Sasa Gazibegovic, Erik P. A. M. Bakkers, Michael Wimmer, Leo P. Kouwenhoven, and Tom Dvir
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Science - Abstract
Abstract Kitaev chains in quantum dot-superconductor arrays are a promising platform for the realization of topological superconductivity. As recently demonstrated, even a two-site chain can host Majorana zero modes known as “poor man’s Majorana”. Harnessing the potential of these states for quantum information processing, however, requires increasing their robustness to external perturbations. Here, we form a two-site Kitaev chain using Yu-Shiba-Rusinov states in proximitized quantum dots. By deterministically tuning the hybridization between the quantum dots and the superconductor, we observe poor man’s Majorana states with a gap larger than 70 μeV. The sensitivity to charge fluctuations is also greatly reduced compared to Kitaev chains made with non-proximitized dots. The systematic control and improved energy scales of poor man’s Majorana states realized with Yu-Shiba-Rusinov states will benefit the realization of longer Kitaev chains, parity qubits, and the demonstration of non-Abelian physics.
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- 2024
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4. Safety and efficacy of adaptive atrial pacing regulated by blood pressure during low‐level exercise: a proof‐of‐concept study
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Michael Burnam, Robert Develle, Leo Polosajian, Shakeh Nalbandian, Kenneth Ellenbogen, and Eli Gang
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HFpEF ,Rate adaptive atrial pacing ,Exercise tolerance ,Chronotropic incompetence ,Cardiac pacing ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Aims Despite half of all heart failure patients suffering from heart failure with preserved ejection fraction (HFpEF), treatment options are limited. This study aims to compare safety and efficacy of standard pacemaker programming (DDD or DDDR) and a novel pacing algorithm PressurePace™ (BaroPace Inc, Issaquah, WA, USA) which modulates atrial pacing rate based on blood pressure (BPAP). Methods This prospective, randomized, double‐blind, non‐significant risk proof of concept study was conducted at two large cardiology clinics in Los Angeles, California, USA. Subjects underwent two modified Bruce protocol graded treadmill exercise tests in which pacemaker programming was randomized to either standard programming (DDD or DDDR), or BPAP at least 1 week apart. Physiological measurements of heart rate (HR), and systolic and diastolic blood pressure (BP) were collected at 2 min intervals. During the BPAP treadmill test, the pacemaker activity sensor was disabled. The PressurePace algorithm instructed the pacemaker technician to modify or leave unchanged the atrial pacing rate based on these BP measurements. Subjects and clinical staff were blinded to pacemaker programming, only the pacemaker technician was unblinded. Results Ten subjects with HFpEF associated with hypertension who also had permanent dual‐chamber pacemakers, previously implanted for standard clinical indications, participated in the study. Mean age was 70.1 ± 6.8 years, left ventricular ejection fraction of 54.8 ± 1.9%. Exercise duration increased in all 10 subjects, when paced in the BPAP mode compared with standard pacemaker programming, showing a mean increase of 117 s (26%, P = 0.0016). The algorithm could adjust HR at each 2 min interval. The majority of subjects (60%) had their atrial pacing rate increased an average of 20% at t = 2 min. In the remaining 40% of subjects, the algorithm instructed HR to be unchanged. In two subjects, the pacing rate was not increased until t = 6 min. In contrast, subjects programmed to DDDR experienced an average of 45% increase in atrial pacing rate at t = 2 min. In the post‐treadmill recovery period, SBP was higher for subjects who underwent BPAP. This difference in SBP was most pronounced immediately post‐treadmill and diminished as subjects progressed through the 30 min recovery period. Statistical significance was achieved at t = 0, 20, and 30 min post‐treadmill. Conclusions An increase in exercise duration was reported in HFpEF subjects using a pacing algorithm that modulated HR based on BP compared with standard programming. These encouraging results form the basis for a larger, randomized cross‐over trial to confirm these initial observations, further characterize the safety, efficacy, and possible mechanisms of action in both acute and longer‐term treatment.
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- 2024
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5. Stress-dependent Mohr–Coulomb shear strength parameters for intact rock
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Hao Li, Leo Pel, Zhenjiang You, and David Smeulders
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Mohr–Coulomb (M-C) criterion ,Stress-dependent cohesion and friction angle ,Critical state ,Brittle to ductile ,Nonlinear strength envelope ,Medicine ,Science - Abstract
Abstract Rock strength is imperative for the design and stability analysis of engineering structures. The Mohr–Coulomb (M-C) criterion holds significant prominence in geotechnical engineering. However, the M-C criterion fails to accurately capture the nonlinear strength response and neglects the critical state of rocks, potentially leading to inaccuracies in the design phase of deep engineering projects. This study introduces an innovative stress-dependent friction angle and cohesion (SFC) for the M-C criterion to capture the nonlinear strength responses of intact rocks, spanning from non-critical to critical states (brittle to ductile regions). A novel method for determining these stress-dependent parameters at each corresponding $$\sigma_{3}$$ σ 3 is initially introduced. Subsequently, an examination of the confinement dependency of the friction angle and cohesion is conducted, leading to the derivation of the SFC model. The SFC-enhanced M-C criterion, utilizing parameters obtained from triaxial tests under lower $$\sigma_{3}$$ σ 3 , demonstrates the capability to delineate the complete non-linear strength envelope from brittle to ductile regions. Validation through triaxial test data confirms that the predictions of the SFC-enhanced M-C criterion accurately correspond to the strength characteristics of the tested rocks.
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- 2024
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6. Real world predictors of response and 24-month survival in high-grade TP53-mutated myeloid neoplasms
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Amandeep Kaur, Alexandra E. Rojek, Emily Symes, Mariam T. Nawas, Anand A. Patel, Jay L. Patel, Payal Sojitra, Barina Aqil, Madina Sukhanova, Megan E. McNerney, Leo P. Wu, Aibek Akmatbekov, Jeremy Segal, Melissa Y. Tjota, Sandeep Gurbuxani, Jason X. Cheng, Su-Yeon Yeon, Harini V. Ravisankar, Carrie Fitzpatrick, Angela Lager, Michael W. Drazer, Caner Saygin, Pankhuri Wanjari, Panagiotis Katsonis, Olivier Lichtarge, Jane E. Churpek, Sharmila B. Ghosh, Ami B. Patel, Madhu P. Menon, Daniel A. Arber, Peng Wang, and Girish Venkataraman
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Current therapies for high-grade TP53-mutated myeloid neoplasms (≥10% blasts) do not offer a meaningful survival benefit except allogeneic stem cell transplantation in the minority who achieve a complete response to first line therapy (CR1). To identify reliable pre-therapy predictors of complete response to first-line therapy (CR1) and outcomes, we assembled a cohort of 242 individuals with TP53-mutated myeloid neoplasms and ≥10% blasts with well-annotated clinical, molecular and pathology data. Key outcomes examined were CR1 & 24-month survival (OS24). In this elderly cohort (median age 68.2 years) with 74.0% receiving frontline non-intensive regimens (hypomethylating agents +/- venetoclax), the overall cohort CR1 rate was 25.6% (50/195). We additionally identified several pre-therapy factors predictive of inferior CR1 including male gender (P = 0.026), ≥2 autosomal monosomies (P 25% (P = 0.002), TP53 splice junction mutations (P = 0.007) and antecedent treated myeloid neoplasm (P = 0.001). In addition, mutations/deletions in CUX1, U2AF1, EZH2, TET2, CBL, or KRAS (‘EPI6’ signature) predicted inferior OS24 (HR = 2.0 [1.5–2.8]; P
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- 2024
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7. Enhanced Hoek-Brown (H-B) criterion for rocks exposed to chemical corrosion
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Hao Li, Leo Pel, Zhenjiang You, and David Smeulders
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Hoek-Brown (H-B) criterion ,Instantaneous mi ,Kinetic porosity-dependency ,Chemical corrosion ,Compressive strength ,Mining engineering. Metallurgy ,TN1-997 - Abstract
Underground constructions often encounter water environments, where water–rock interaction can increase porosity, thereby weakening engineering rocks. Correspondingly, the failure criterion for chemically corroded rocks becomes essential in the stability analysis and design of such structures. This study enhances the applicability of the Hoek-Brown (H-B) criterion for engineering structures operating in chemically corrosive conditions by introducing a kinetic porosity-dependent instantaneous mi (KPIM). A multiscale experimental investigation, including nuclear magnetic resonance (NMR), X-ray diffraction (XRD), scanning electron microscopy (SEM), pH and ion chromatography analysis, and triaxial compression tests, is employed to quantify pore structural changes and their linkage with the strength responses of limestone under coupled chemical-mechanical (C-M) conditions. By employing ion chromatography and NMR analysis, along with incorporating the principles of free-face dissolution theory accounting for both congruent and incongruent dissolution, a kinetic chemical corrosion model is developed. This model aims to calculate the kinetic porosity alterations within rocks exposed to varying H+ concentrations and durations. Subsequently, utilizing the generalized mixture rule (GMR), the kinetic porosity-dependent mi is formulated. Evaluation of the KPIM-enhanced H-B criterion using compression test data from 5 types of rocks demonstrated a high level of consistency between the criterion and the experimental results, with a coefficient of determination greater than 0.96, a mean absolute percentage error less than 4.84%, and a root-mean-square deviation less than 5.95 MPa. Finally, the physical significance of the porosity-dependent instantaneous mi is clarified: it serves as an indicator of a rock’s capacity to leverage the confining pressure effect.
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- 2024
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8. Hyaluronan in mesenchymal stromal cell lineage differentiation from human pluripotent stem cells: application in serum free culture
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Paul A. De Sousa, Leo Perfect, Jinpei Ye, Kay Samuels, Ewa Piotrowska, Martin Gordon, Ryan Mate, Elsa Abranches, Thomas M. Wishart, David H. Dockrell, and Aidan Courtney
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Pluripotent ,Human pluripotent stem cells ,Mesenchymal stromal cells ,Hyaluronan ,Cell therapy ,Medicine (General) ,R5-920 ,Biochemistry ,QD415-436 - Abstract
Abstract Background Hyaluronan (HA) is an extracellular glycosaminoglycan polysaccharide with widespread roles throughout development and in healthy and neoplastic tissues. In pluripotent stem cell culture it can support both stem cell renewal and differentiation. However, responses to HA in culture are influenced by interaction with a range of cognate factors and receptors including components of blood serum supplements, which alter results. These may contribute to variation in cell batch production yield and phenotype as well as heighten the risks of adventitious pathogen transmission in the course of cell processing for therapeutic applications. Main Here we characterise differentiation of a human embryo/pluripotent stem cell derived Mesenchymal Stromal Cell (hESC/PSC-MSC)-like cell population by culture on a planar surface coated with HA in serum-free media qualified for cell production for therapy. Resulting cells met minimum criteria of the International Society for Cellular Therapy for identification as MSC by expression of. CD90, CD73, CD105, and lack of expression for CD34, CD45, CD14 and HLA-II. They were positive for other MSC associated markers (i.e.CD166, CD56, CD44, HLA 1-A) whilst negative for others (e.g. CD271, CD71, CD146). In vitro co-culture assessment of MSC associated functionality confirmed support of growth of hematopoietic progenitors and inhibition of mitogen activated proliferation of lymphocytes from umbilical cord and adult peripheral blood mononuclear cells, respectively. Co-culture with immortalized THP-1 monocyte derived macrophages (Mɸ) concurrently stimulated with lipopolysaccharide as a pro-inflammatory stimulus, resulted in a dose dependent increase in pro-inflammatory IL6 but negligible effect on TNFα. To further investigate these functionalities, a bulk cell RNA sequence comparison with adult human bone marrow derived MSC and hESC substantiated a distinctive genetic signature more proximate to the former. Conclusion Cultivation of human pluripotent stem cells on a planar substrate of HA in serum-free culture media systems is sufficient to yield a distinctive developmental mesenchymal stromal cell lineage with potential to modify the function of haematopoietic lineages in therapeutic applications.
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- 2024
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9. Effect of fluticasone propionate/formoterol and fluticasone furoate/vilanterol on adolescents with chronic bronchial obstruction
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Tiina Helena Tanninen, MD, Anna Susanna Pelkonen, MD, PhD, Leo Pekka Malmberg, MD, PhD, and Mika Juhani Mäkelä, MD, PhD
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Adolescent ,asthma ,fluticasone furoate ,fluticasone propionate ,formoterol ,inhaled corticosteroid ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Background: The combination of an inhaled corticosteroid (ICS) and long-acting β-agonist (LABA) (ICS/LABA) has shown superiority in improving lung function (FEV1) compared with an ICS alone. The clinical effect of a ICS/LABA combination depends on the fine-particle fraction and the pulmonary deposition. Objective: We sought to compare the efficacy of 2 combinations of an ICS and LABA, namely, fluticasone propionate (FP) and formoterol (FORM) (FP/FORM) and fluticasone furoate (FF) and vilanterol (VI) (FF/VI), in asthmatic adolescents with chronic bronchial obstruction. Methods: FP/FORM (125 μg/5 μg, 2 doses twice daily via the k-haler [Mundipharma, Cambridge, UK]) and FF/VI (92 μg/22 μg, once daily via the Ellipta inhaler [GlaxoSmithKline]) were administered to adolescents aged 12 to 17 years who required regular antiasthmatic medication and had a ratio of FEV1 to forced vital capacity (FEV1/FVC) less than –1.65 SD in a 2-sequence, 16-week crossover trial. The primary efficacy end point was change in FEV1 compared with baseline. Secondary end points were FEV1/FVC ratio, maximal expiratory flow at 50% of the FVC, impulse oscillometry indices respiratory resistance at 5 Hz (R5), difference between R5 and respiratory resistance at 20 Hz (R20), area of reactance, and Asthma Control Test score. Results: Both ICS/LABA combinations resulted in a significant improvement in FEV1 and maximal expiratory flow at 50% of the FVC z scores without any significant difference between FP/FORM and FF/VI, with 40% of patients with either treatment achieving a normal prebronchodilator FEV1/FVC z score. Neither area of reactance nor difference between R5 and R20 improved significantly with either treatment. Conclusion: Both ICS/LABA combinations demonstrated significant improvements in FEV1 z score. More than one-third of the asthmatic adolescents with prolonged bronchial obstruction achieved a normal prebronchodilator FEV1/FVC ratio.
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- 2024
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10. A systematic approach to the modelling and comparison of the geometries of spherical electrodes in inertial electrostatic confinement fusion devices
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Jan-Philipp Wulfkühler, Hai-Dang Nguyen, Leo Peiffer, and Martin Tajmar
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Medicine ,Science - Abstract
Abstract Inertial electrostatic confinement fusion (IECF) devices often use two concentric spherical electrodes to converge ions in a plasma electrostatically. Using a highly transparent inner cathode, the ions can move through the cathode and collide at the center to undergo fusion reactions. This is a simple method to build a neutron source. Past research has focused chiefly on cathode “grids” manufactured by joining metal wire loops or disc-shaped elements via spot welding. There are two common geometries: “Globe” grids with a distinct latitude-longitude structure and “symmetric” grids with even-sized triangular-shaped apertures. Recent advances in additive manufacturing have opened the way to manufacturing a third class of grids in which the apertures are evenly distributed over the grid surface and have either circular or polygonal shaped apertures - here called “regular” grids. These three types are analyzed and compared based on a set of metrics, including transparency, homogeneity of aperture size, and the regularity of aperture distribution. It is shown that every type of grid comes with different advantages and disadvantages. The analysis focuses on grid geometries with 6 to 120 apertures.
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- 2024
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11. The Role of Insulin Within the Socio-Psycho-Biological Framework in Type 2 Diabetes—A Perspective from Psychoneuroimmunology
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Anne Wevers, Silvia San Roman-Mata, Santiago Navarro-Ledesma, and Leo Pruimboom
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psychoneuroimmunology ,psychosocial factors ,insulin ,mitochondrial information processing system ,type 2 diabetes mellitus with musculoskeletal disorders and neurodegeneration ,insulin resistance ,Biology (General) ,QH301-705.5 - Abstract
The interplay between socio-psychological factors and biological systems is pivotal in defining human health and disease, particularly in chronic non-communicable diseases. Recent advancements in psychoneuroimmunology and mitochondrial psychobiology have emphasized the significance of psychological factors as critical determinants of disease onset, progression, recurrence, and severity. These insights align with evolutionary biology, psychology, and psychiatry, highlighting the inherent social nature of humans. This study proposes a theory that expands insulin’s role beyond traditional metabolic functions, incorporating it into the Mitochondrial Information Processing System (MIPS) and exploring it from an evolutionary medicine perspective to explore its function in processing psychological and social factors into biological responses. This narrative review comprises data from preclinical animal studies, longitudinal cohort studies, cross-sectional studies, machine learning analyses, and randomized controlled trials, and investigates the role of insulin in health and disease. The result is a proposal for a theoretical framework of insulin as a social substance within the socio-psycho-biological framework, emphasizing its extensive roles in health and disease. Type 2 Diabetes Mellitus (T2DM) with musculoskeletal disorders and neurodegeneration exemplifies this narrative. We suggest further research towards a comprehensive treatment protocol meeting evolutionary expectations, where incorporating psychosocial interventions plays an essential role. By supporting the concept of ‘insulin resilience’ and suggesting the use of heart rate variability to assess insulin resilience, we aim to provide an integrative approach to managing insulin levels and monitoring the effectiveness of interventions. This integrative strategy addresses broader socio-psychological factors, ultimately improving health outcomes for individuals with T2DM and musculoskeletal complications and neurodegeneration while providing new insights into the interplay between socio-psychological factors and biological systems in chronic diseases.
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- 2024
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12. Automatic three-dimensional reconstruction of the oesophagus in achalasia patients undergoing POEM: an innovative approach for evaluating treatment outcomes
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Alanna Ebigbo, Helmut Messmann, Vivian Grünherz, Miriam Elia, Alessandra Brunner, Tamara Krafft, Leo Pöller, Pia Schneider, Fabian Stieler, Bernhard Bauer, Anna Muzalyova, and Sandra Nagl
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Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Background and aims Peroral endoscopic myotomy (POEM) is a standard treatment option for achalasia patients. Treatment response varies due to factors such as achalasia type, degree of dilatation, pressure and distensibility indices. We present an innovative approach for treatment response prediction based on an automatic three-dimensional (3-D) reconstruction of the tubular oesophagus (TE) and the lower oesophageal sphincter (LES) in patients undergoing POEM for achalasia.Methods A software was developed, integrating data from high-resolution manometry, timed barium oesophagogram and endoscopic images to automatically generate 3-D reconstructions of the TE and LES. Novel normative indices for TE (volume×pressure) and LES (volume/pressure) were automatically integrated, facilitating pre-POEM and post-POEM comparisons. Treatment response was evaluated by changes in volumetric and pressure indices for the TE and the LES before as well as 3 and 12 months after POEM. In addition, these values were compared with normal value indices of non-achalasia patients.Results 50 treatment-naive achalasia patients were enrolled prospectively. The mean TE index decreased significantly (p
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- 2024
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13. Differences in educational opportunity predict white matter development
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Ethan Roy, Amandine Van Rinsveld, Pierre Nedelec, Adam Richie-Halford, Andreas M. Rauschecker, Leo P. Sugrue, Ariel Rokem, Bruce D. McCandliss, and Jason D. Yeatman
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White Matter ,Education ,Development ,Socioeconomic Status ,Neurophysiology and neuropsychology ,QP351-495 - Abstract
Coarse measures of socioeconomic status, such as parental income or parental education, have been linked to differences in white matter development. However, these measures do not provide insight into specific aspects of an individual’s environment and how they relate to brain development. On the other hand, educational intervention studies have shown that changes in an individual’s educational context can drive measurable changes in their white matter. These studies, however, rarely consider socioeconomic factors in their results. In the present study, we examined the unique relationship between educational opportunity and white matter development, when controlling other known socioeconomic factors. To explore this question, we leveraged the rich demographic and neuroimaging data available in the ABCD study, as well the unique data-crosswalk between ABCD and the Stanford Education Data Archive (SEDA). We find that educational opportunity is related to accelerated white matter development, even when accounting for other socioeconomic factors, and that this relationship is most pronounced in white matter tracts associated with academic skills. These results suggest that the school a child attends has a measurable relationship with brain development for years to come.
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- 2024
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14. Identifying minimum freshwater habitat conditions for an endangered fish using life cycle analysis
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Leo Polansky, Lara Mitchell, and Matthew L. Nobriga
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climate change ,Delta smelt ,endangered species ,Hypomesus transpacificus ,pareto frontier ,population viability analysis ,Ecology ,QH540-549.5 ,General. Including nature conservation, geographical distribution ,QH1-199.5 - Abstract
Abstract Identifying the most important factors affecting population growth in animal life cycles is an important tool of species conservation. Delta Smelt (Hypomesus transpacificus), an annual fish endemic to the San Francisco Estuary in California (USA), has been provided legal protection since 1993 but 30 years later exists in a conservation‐reliant state on the brink of extinction. Despite considerable controversies about what factors are most responsible for the species' decline, no population growth rate sensitivity comparisons between the most important factors regulating growth have been done. Nor has anyone attempted to quantitatively identify habitat conditions needed to support positive population growth. We developed a set of stage‐structured population models to link habitat indices regulating recruitment of new generations of fish as they metamorphosed into juveniles and the subsequent survival of those fish over several seasons until they reached adulthood. These models are used to quantify drivers of growth rate variation over 30 years. Several complimentary sensitivity analyses indicated freshwater outflow to the estuary during summer had the largest potential to change population growth. Multiple habitat metrics (e.g., food availability, temperature) influencing recruitment and life stage specific survival rates across different seasons interacted in nonlinear ways to determine habitat conditions and water management targets associated with positive population growth. We discuss the implications for freshwater management, Delta Smelt conservation, and the challenges climate change poses for co‐implementation of these two societal priorities.
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- 2024
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15. Effects of the menstrual cycle on the performance of female football players. A systematic review
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Dina Hamed-Hamed, Ana González-Muñoz, Maria Cuevas-Cervera, Jose Javier Perez-Montilla, Daniel Aguilar-Nuñez, María Aguilar-García, Leo Pruimboom, and Santiago Navarro-Ledesma
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menstrual cycle ,luteal phase ,women football ,follicular phase ,performance ,psychosocial factors ,Physiology ,QP1-981 - Abstract
Background:Women’s football has been booming for a few years now, which has led to an increase in the expectation of the players’ performance, leading to a more detailed study of women’s physiology in the field of sports.Objectives:To analyze the scientific evidence on the influence of menstruation on the performance of female footballers, as well as to analyze the methodological quality of the studies included in this review.Materials and methods:The possible hormonal effects of the menstrual cycle phases on the performance of female footballers were analyzed. The databases used to conduct the searches were Pubmed, Scopus, Virtual Health Library, Web of Science, EBSCO and the Cochrane Library. All included studies met the inclusion criteria. The Cochrane risk of bias tool was used. This systematic review protocol was registered at the International Prospective Register of Systematic Reviews (PROSPERO: CRD42023390652).Results:A total of nine clinical trials were included in this review. A low quality of evidence was observed in the studies. Not all the results support the idea that the menstrual cycle phases can alter the performance of female footballers.Conclusion:This systematic review shows that there is a great deal of controversy about the influence of the menstrual cycle phases on the performance of female footballers. Studies are focused on solely biological factors and gender is normally no part of those studies. Further research with larger samples, and taking not only biological but also sociological factors, are necessary to determine the effects of menstruation on the performance of female footballers.
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- 2024
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16. A new perspective of frozen shoulder pathology; the interplay between the brain and the immune system
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Santiago Navarro-Ledesma, Dina Hamed-Hamed, and Leo Pruimboom
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frozen shoulder (adhesive capsulitis) ,shoulder pain ,shoulder condition ,autoimmune disorder ,endocrinological disease ,low grade inflammation ,Physiology ,QP1-981 - Abstract
Frozen shoulder (FS), also known as adhesive capsulitis of the shoulder (FS), is a fibrotic inflammatory process of unknown etiology whose main symptoms are pain, stiffness and the loss of joint mobility. These symptoms may be associated with pathologies such as diabetes, Dupuytren’s syndrome and the prevalence of today’s sedentary lifestyle. This literature review provides an overview of the epidemiology and pathogenesis of this pathology, as well as the mechanisms of lowgrade chronic inflammation and infection, insulin resistance, and omics-science associated with it. We also propose a new hypothesis related to the possibility that the GABAergic system could play a decisive role in the development of frozen shoulder and that therefore diabetes type 1, endocrinological autoimmune disorders and frozen shoulder are connected by the same pathophysiological mechanisms. If that is true, the combined presence of psycho-emotional stress factors and pathogenic immune challenges could be the main causes of frozen shoulder syndrome. Finally, we propose a series of possible intervention strategies based on a multifactorial etiological and mechanistic concept.
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- 2024
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17. Assessing city-wide pharmaceutical emissions to wastewater via modelling and passive sampling
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Caterina Zillien, Thijs Groenveld, Odin Schut, Henry Beeltje, Daniel Blanco-Ania, Leo Posthuma, Erwin Roex, and Ad Ragas
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Environmental sciences ,GE1-350 - Abstract
With increasing numbers of chemicals used in modern society, assessing human and environmental exposure to them is becoming increasingly difficult. Recent advances in wastewater-based epidemiology enable valuable insights into public exposure to data-poor compounds. However, measuring all >26,000 chemicals registered under REACH is not just technically unfeasible but would also be incredibly expensive. In this paper, we argue that estimating emissions of chemicals based on usage data could offer a more comprehensive, systematic and efficient approach than repeated monitoring. Emissions of 29 active pharmaceutical ingredients (APIs) to wastewater were estimated for a medium-sized city in the Netherlands. Usage data was collected both on national and local scale and included prescription data, usage in health-care institutions and over-the-counter sales. Different routes of administration were considered as well as the excretion and subsequent in-sewer back-transformation of conjugates into respective parent compounds. Results suggest model-based emission estimation on a city-level is feasible and in good agreement with wastewater measurements obtained via passive sampling. Results highlight the need to include excretion fractions in the conceptual framework of emission estimation but suggest that the choice of an appropriate excretion fraction has a substantial impact on the resulting model performance.
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- 2024
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18. Note bibliografiche: Roncaglia A. (2023), Il potere. Una prospettiva riformista, Roma-Bari: Laterza, pp. 304, ISBN: 9788858151488.
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Leo Peppe
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Finance ,HG1-9999 ,Economic theory. Demography ,HB1-3840 - Abstract
Recensione a: Roncaglia A. (2023), Il potere. Una prospettiva riformista, Roma-Bari: Laterza, pp. 304, ISBN: 9788858151488.
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- 2024
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19. Tractography-based DBS lead repositioning improves outcome in refractory OCD and depression
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Genevieve Basich-Pease, Natalya Slepneva, Adam C. Frank, Tenzin Norbu, Melanie A. Morrison, Leo P. Sugrue, Paul S. Larson, Philip A. Starr, and A. Moses Lee
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deep brain stimulation ,OCD ,anterior limb of the internal capsule ,diffusion imaging ,tractography ,fMRI ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Deep brain stimulation (DBS) of the anterior limb of the internal capsule (ALIC) has been used to treat refractory obsessive-compulsive disorder (OCD) and depression, but outcomes are variable, with some patients not responding to this form of invasive neuromodulation. A lack of benefit in some patients may be due to suboptimal positioning of DBS leads. Recently, studies have suggested that specific white matter tracts within the ALIC are associated with improved outcomes. Here, we present the case of a patient who initially had a modest improvement in OCD and depressive symptoms after receiving DBS within the ALIC. Subsequently, he underwent unilateral DBS lead repositioning informed by tractography targeting the ventrolateral and medial prefrontal cortex’s connection with the mediodorsal thalamus. In this patient, we also conducted post-implant and post-repositioning diffusion imaging and found that we could successfully perform tractography even with DBS leads in place. Following lead repositioning into tracts predictive of benefit, the patient reached responder criteria for his OCD, and his depression was remitted. This case illustrates that tractography can potentially be used in the evaluation and planning of lead repositioning to achieve therapeutic outcomes.
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- 2024
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20. Complexity of coronary artery disease and the release of cardiac biomarkers after CABG
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Leo Pölzl, Ronja Lohmann, Philipp Sterzinger, Felix Nägele, Jakob Hirsch, Michael Graber, Clemens Engler, Jonas Eder, Hannes Abfalterer, Hanno Ulmer, Andrea Griesmacher, Michael Grimm, Nikolaos Bonaros, Elfriede Ruttmann-Ulmer, Johannes Holfeld, and Can Gollmann-Tepeköylü
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biomarker release ,perioperative risk stratification ,CABG ,SYNTAX Score ,cardiac surgery ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
ObjectiveIn patients with complex coronary artery disease (CAD) undergoing cardiac surgery, myocardial protection might be impaired due to microvascular obstruction, resulting in myocardial injury and subsequent biomarker release. Therefore, this study investigated the correlation between the complexity of CAD, reflected by the SYNTAX Score, and the release of cardiac biomarkers after CABG.MethodsIn a consecutive series of 919 patients undergoing isolated CABG SYNTAX scores I and II were calculated to assess the complexity of CAD. Levels of high sensitivity cardiac troponin T (hs-cTnT) and creatine kinase-myocardial band (CK-MB) were routinely measured once before and serially after surgery. Patients were divided into tertiles according to their SYNTAX Scores I and II. Spearman correlations and regression models were performed to measure the degree of association between the release of hs-cTnT and CK-MB and the SYNTAX Scores.ResultsPatients with a higher SYNTAX Score I had more comorbidities reflected in a higher EuroSCORE II. Preoperatively, higher levels of cardiac biomarkers were found in patients with higher SYNTAX Score II. No correlation was observed between hs-cTnT, CK-MB and SYNTAX Score I or II. Regression models did not show any association between cardiac biomarkers and the complexity of CAD.ConclusionThe complexity of CAD is not associated with the release of cardiac biomarkers after CABG. Factors influencing postoperative biomarker release need to be elucidated in future trials to include postoperative biomarker release into risk stratification models predicting outcome after cardiac surgery.
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- 2024
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21. White matter and literacy: A dynamic system in flux
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Ethan Roy, Adam Richie-Halford, John Kruper, Manjari Narayan, David Bloom, Pierre Nedelec, Andreas M. Rauschecker, Leo P. Sugrue, Timothy T. Brown, Terry L. Jernigan, Bruce D. McCandliss, Ariel Rokem, and Jason D. Yeatman
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White Matter ,Reading ,Longitudinal data ,Diffusion MRI ,Big Datasets ,Neurophysiology and neuropsychology ,QP351-495 - Abstract
Cross-sectional studies have linked differences in white matter tissue properties to reading skills. However, past studies have reported a range of, sometimes conflicting, results. Some studies suggest that white matter properties act as individual-level traits predictive of reading skill, whereas others suggest that reading skill and white matter develop as a function of an individual’s educational experience. In the present study, we tested two hypotheses: a) that diffusion properties of the white matter reflect stable brain characteristics that relate to stable individual differences in reading ability or b) that white matter is a dynamic system, linked with learning over time. To answer these questions, we examined the relationship between white matter and reading in a five-year longitudinal dataset and a series of large-scale, single-observation, cross-sectional datasets (N = 14,249 total participants). We find that gains in reading skill correspond to longitudinal changes in the white matter. However, in the cross-sectional datasets, we find no evidence for the hypothesis that individual differences in white matter predict reading skill. These findings highlight the link between dynamic processes in the white matter and learning.
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- 2024
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22. Swiftly Chasing Gravitational Waves across the Sky in Real Time
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Aaron Tohuvavohu, Jamie A. Kennea, Christopher J. Roberts, James DeLaunay, Samuele Ronchini, S. Bradley Cenko, Becca Ewing, Ryan Magee, Cody Messick, Surabhi Sachdev, and Leo P. Singer
- Subjects
Gravitational waves ,Gamma-ray bursts ,Space telescopes ,Astrophysics ,QB460-466 - Abstract
We introduce a new capability of the Neil Gehrels Swift Observatory, dubbed “continuous commanding,” that achieves 10 s latency response time on orbit to unscheduled target-of-opportunity requests received on the ground. We show that this will allow Swift to respond to premerger (early-warning) gravitational-wave (GW) detections, rapidly slewing the Burst Alert Telescope (BAT) across the sky to place the GW origin in the BAT field of view at or before merger time. This will dramatically increase the GW/gamma-ray burst (GRB) codetection rate and enable prompt arcminute localization of a neutron star merger. We simulate the full Swift response to a GW early-warning alert, including input sky maps produced at different early-warning times, a complete model of the Swift attitude control system, and a full accounting of the latency between the GW detectors and the spacecraft. 60 s of early warning can double the rate of a prompt GRB detection with arcminute localization, and 140 s guarantees observation anywhere on the unocculted sky, even with localization areas ≫1000 deg ^2 . While 140 s is beyond current GW detector sensitivities, 30–70 s is achievable today. We show that the detection yield is now limited by the latency of LIGO/Virgo cyberinfrastructure and motivate a focus on its reduction. Continuous commanding has been integrated as a general capability of Swift, significantly increasing its versatility in response to the growing demands of time-domain astrophysics. We demonstrate this potential on an externally triggered fast radio burst (FRB), slewing 81° across the sky, and collecting X-ray and UV photons from the source position
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- 2024
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23. Divergent mechanisms of perceptual reversals in spinning and wobbling structure-from-motion stimuli.
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Leo Poom
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Medicine ,Science - Abstract
This study explores the visual phenomenon of random dot structure-from-motion (SFM), where the brain perceives 3D shapes from the coordinated 2D motion of dots. Observing SFM may lead to ambiguous depth relations that reverse back and forth during prolonged viewing. I demonstrate that different processes are involved in triggering perceived reversals for identical SFM shapes involved in spinning and wobbling motion. Durations of stable percepts were measured while human participants viewed the two SFM stimuli, and also a static Necker figure, and a wobbling Necker figure for two sets of 2.5 minutes each. The results showed that wobbling SFM resulted in much longer stable durations compared to the other stimuli. The durations for the wobbling SFM stimuli was not correlated with the spinning SFM, or the two Necker stimuli. Yet, such correlations were obtained between the other stimuli. It is known that reversals obtained while viewing spinning SFM stimuli involves bottom-up driven adaptation and recovery cycles between neural populations. This result suggests that wobbling SFM efficiently deactivates this process and targets other contributions to the reversals, such as top-down processes. In addition, biases observed in the first set disappeared in the second set implying influences of learning between the sets. Imagery vividness, which measures intrinsic top-down processes, was also scored but no correlation between scores in visual imagery and reversal rates were obtained. This research provides insight into the complex interplay between bottom-up driven adaptation-recovery cycles, and top-down processes in ambiguous perception.
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- 2024
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24. Lean Demonstration of On-Board Thermal Anomaly Detection Using Machine Learning
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Jan Thoemel, Konstantinos Kanavouras, Maanasa Sachidanand, Andreas Hein, Miguel Ortiz del Castillo, Leo Pauly, Arunkumar Rathinam, and Djamila Aouada
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hosted payload ,machine learning ,thermal anomalies ,anomaly detection ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
Moore’s law states that the performance of computers doubles about every two years. This has dramatic consequences for any modern high development and for satellites. The long development cycles cause these expensive assets to be obsolete before the start of their operations. The advancement also presents challenges to their design, particularly from a thermal perspective, as more heat is dissipated and circuits are more fragile. These challenges mandate that faster spacecraft development methods are found and thermal management technologies are developed. We elaborate on existing development methodologies and present our own lean method. We explore the development of a thermal anomaly-detection payload, extending from conception to in-orbit commissioning, to stimulate discussions on space hardware development approaches. The payload consists of four miniaturized infrared cameras, heating sources in view of the cameras simulating an anomaly, an on-board processor, and peripherals for electrical and communication interfaces. The paper outlines our methodology and its application, showcasing the success of our efforts with the first-light activation of our cameras in orbit. We show our lean method, featuring reference technical and management models, from which we derive further development tools; such details are normally not available in the scientific-engineering literature. Additionally, we address the shortcomings identified during our development, such as the failure of an on-board component and propose improvements for future developments.
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- 2024
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25. The Relationship between Abdominal Diastasis and Lumbar Pain Pressure Threshold in Women Who Have Given Birth between the Ages of 30 and 45 Years—An Observational Pilot Study
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Ana González-Muñoz, Leo Pruimboom, and Santiago Navarro-Ledesma
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diastasis ,inter-rectus diastasis ,low back pain ,pain pressure threshold ,ultrasound ,Medicine (General) ,R5-920 - Abstract
Background and Objectives: Current evidence confirms that the magnitude of the inter-rectus distance (IRD) is associated with the severity of abdominal pain. Furthermore, evidence exists in the literature about the impact abdominal muscles have on low back pain, lumbopelvic pain, breathing and lumbar abdominal strength; however, no studies analysing the level of association between abdominal diastasis and lumbar pain pressure threshold (PPT) exist. The aim of this study was to analyse the level of association between the rectus abdominis distance and pain pressure threshold in the lumbar spinous processes in women who have given birth between the ages of 30 and 45 years. Secondly, it was to study the level of association between the time elapsed since the last delivery and low back pain in women who have given birth between 30 and 45 years of age. Material and Methods: This was a pilot observational study in which 21 females participated. The abdominal diastasis was measured by ultrasound, the pain pressure threshold was assessed by an algometer and the pain perception by the Mc Gill questionnaire. Results: There was no significant relationship between increased abdominal distance and increased lumbopelvic pain in women who gave birth between the ages of 30 and 45 years. However, there was a correlation between the time that had elapsed since the last delivery and low back pain. Conclusions: there was a correlation between the time that had elapsed since the last delivery and low back pain. Further studies analysing factors that may perpetuate the chronicity of symptoms, such as lifestyle and intrinsic factors, are needed.
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- 2024
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26. Behavioral Assessment of Soft Skill Development in a Highly Structured Pre-Health Biology Course for Undergraduates
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Joanne Tran, Leo Meller, Vy Le, Jasmine Tam, and Andrea Nicholas
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In this study, we assessed a highly structured, yearlong, case-based course designed for undergraduate pre-health students. We incorporated both content learning assessments and developed a novel method called Multiple Mini Exams for assessing course impact on the development of skills that professional schools often seek in pre-health students, focusing on students' abilities to collaborate with others, display bedside manners, synthesize patient case details, appropriately use scientific and medical language, and effectively attain patients' medical histories. This novel method utilized a rubric based on desired medical student skills to score videotaped behaviors and interactions of students role playing as doctors in a hypothetical patient case study scenario. Overall, our findings demonstrate that a highly structured course, incorporating weekly student performance and presentation of patient cases encompassing history taking, diagnosis, and treatment, can result in content learning, as well as improve desired skills specific for success in medical fields.
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- 2024
27. Units in group rings and blocks of Klein four or dihedral defect
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Eisele, Florian and Margolis, Leo
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Mathematics - Rings and Algebras ,Mathematics - Group Theory ,Mathematics - Representation Theory ,16U60, 20C05, 20C11 - Abstract
We obtain restrictions on units of even order in the integral group ring $\mathbb{Z}G$ of a finite group $G$ by studying their actions on the reductions modulo $4$ of lattices over the $2$-adic group ring $\mathbb{Z}_2G$. This improves the "lattice method" which considers reductions modulo primes $p$, but is of limited use for $p=2$ essentially due to the fact that $1\equiv -1 \ (\textrm{mod }2)$. Our methods yield results in cases where $\mathbb Z_2 G$ has blocks whose defect groups are Klein four groups or dihedral groups of order $8$. This allows us to disprove the existence of units of order $2p$ for almost simple groups with socle $\operatorname{PSL}(2,p^f)$ where $p^f\equiv \pm 3 \ (\textrm{mod } 8)$ and to answer the Prime Graph Question affirmatively for many such groups., Comment: 17 pages, comments welcome
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- 2024
28. A Quantum Approximate Optimization Algorithm for Local Hamiltonian Problems
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Kannan, Ishaan, King, Robbie, and Zhou, Leo
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Quantum Physics ,Condensed Matter - Disordered Systems and Neural Networks - Abstract
Local Hamiltonian Problems (LHPs) are important problems that are computationally QMA-complete and physically relevant for many-body quantum systems. Quantum MaxCut (QMC), which equates to finding ground states of the quantum Heisenberg model, is the canonical LHP for which various algorithms have been proposed, including semidefinite programs and variational quantum algorithms. We propose and analyze a quantum approximation algorithm which we call the Hamiltonian Quantum Approximate Optimization Algorithm (HamQAOA), which builds on the well-known scheme for combinatorial optimization and is suitable for implementations on near-term hardware. We establish rigorous performance guarantees of the HamQAOA for QMC on high-girth regular graphs, and our result provides bounds on the ground energy density for quantum Heisenberg spin glasses in the infinite size limit that improve with depth. Furthermore, we develop heuristic strategies with which to efficiently obtain good HamQAOA parameters. Through numerical simulations, we show that the HamQAOA empirically outperforms prior algorithms on a wide variety of QMC instances. In particular, our results indicate that the linear-depth HamQAOA can deterministically prepare exact ground states of 1-dimensional antiferromagnetic Heisenberg spin chains described by the Bethe ansatz, in contrast to the exponential depths required in previous protocols for preparing Bethe states., Comment: 17+21 pages, 16 figures
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- 2024
29. Emergent facilitation by random constraints in a facilitated random walk model of glass
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Lam, Leo S. I., Deng, Hai-Yao, Zhang, Wei-Bing, Nwankwo, Udoka, Xiao, Chu, Yip, Cho-Tung, Lee, Chun-Shing, Ruan, Haihui, and Lam, Chi-Hang
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Condensed Matter - Statistical Mechanics - Abstract
The physics of glass has been a significant topic of interest for decades. Dynamical facilitation is widely believed to be an important characteristic of glassy dynamics, but the precise mechanism is still under debate. We propose a lattice model of glass called the facilitated random walk (FRW). Each particle performs continuous time random walk in the presence of its own random local kinetic constraints. The particles do not interact energetically. Instead, they interact kinetically with a hopping rate resampling rule under which motions of a particle can randomly perturb the local kinetic constraints of other particles. This dynamic interaction is reversible, following a rate restoration rule. A step-by-step reversal of the particle motions exactly restore the previous constraints, modeling randomness quenched in the configuration space of glass. The model exhibits stretched exponential relaxation and dynamical heterogeneity typical of glasses. Despite the lack of explicit facilitation rule, the FRW shows facilitation behaviors closely analogous to those of the kinetically constrained models (KCM). The FRW is a coarse-grained version of the distinguishable particle lattice model (DPLM) and this exemplifies that compatible defect and atomistic models can complement each other on the study of glass.
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- 2024
30. The log Grothendieck ring of varieties
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Gross, Andreas, Herr, Leo, Holmes, David, Spelier, Pim, and Vogel, Jesse
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Mathematics - Algebraic Geometry - Abstract
We define a Grothendieck ring of varieties for log schemes. It is generated by one additional class ``$P$'' over the usual Grothendieck ring. We show the na\"ive definition of log Hodge numbers does not make sense for all log schemes. We offer an alternative that does., Comment: 19 pages. Comments welcome
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- 2024
31. All-optical polarization control and routing by nonlinear interferometry at the nanoscale
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Luan, Yigong, Zilli, Attilio, Di Francescantonio, Agostino, Vinel, Vincent, Biagioni, Paolo, Duò, Lamberto, Lemaître, Aristide, Leo, Giuseppe, Celebrano, Michele, and Finazzi, Marco
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Physics - Optics ,Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science - Abstract
Optical metasurfaces are rapidly establishing as key-enabling platforms for nanophotonics applications. Along with the ability of taming light in subwavelength thicknesses, they can feature multiple functionalities in one device. The generation and control of light polarization by metasurfaces already provided a route towards ultracompact polarimetry devices in the linear regime. If translated to the nonlinear optical regime it may become a key-enabling tool in nonlinear imaging, optical holography and sensing. Here, we report the experimental ultrafast all-optical polarization modulation of upconverted light by all-dielectric metasurfaces via nonlinear interferometry. By controlling the relative phase between a pump beam at $\omega$ and its frequency-double replica at 2$\omega$, we can set the phase relation between two frequency-degenerate upconverted processes at 3$\omega$ $-$ Sum-Frequency Generation (SFG) and Third-Harmonic Generation (THG) $-$ stemming from an AlGaAs metasurface. By exploiting the opposite parity of the two nonlinear process and tuning their relative powers, we can achieve modulation of the polarization states of the light emitted at 3$\omega$ between linear and circular states with a degree of circular polarization (DOCP) up to 83$\%$. In particular, circularly polarized light features opposite handedness symmetrically located in the Fourier space, at coincidence with the first diffraction orders of the metasurface. Moreover, by toggling the phase delay by $\pi$, the handedness can be fully switched between the diffraction. Our work adds an additional layer of modulation in polarization beyond intensity to all-optical routing with precise phase control. The capability to route circular polarization states in the k-space holds significant potential for chiral sensing and advanced imaging techniques., Comment: 15 pages, 4 figures
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- 2024
32. Electron-Ion Coupling Breaks Energy Symmetry in Organic Electrochemical Transistors
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Bongartz, Lukas M., LeCroy, Garrett, Quill, Tyler J., Siemons, Nicholas, Dijk, Gerwin, Marks, Adam, Cheng, Christina, Kleemann, Hans, Leo, Karl, and Salleo, Alberto
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Condensed Matter - Materials Science ,Condensed Matter - Disordered Systems and Neural Networks ,Physics - Applied Physics - Abstract
Organic electrochemical transistors are extensively studied for applications ranging from bioelectronics to analog and neuromorphic computing. Despite significant advances, the fundamental interactions between the polymer semiconductor channel and the electrolyte, which critically determine the device performance, remain underexplored. Here, we examine the coupling between the benchmark semiconductor PEDOT:PSS and ionic liquids to explain the bistable and non-volatile behavior observed in OECTs. Using X-ray scattering and spectroscopy techniques, we demonstrate how the electrolyte modifies the channel composition, enhances molecular order, and reshapes the electronic and energetic landscape. Notably, the observed bistability arises from asymmetric and path-dependent energetics during doping and dedoping, resulting in two distinct, stable states, driven by a direct interaction between the electronic and ionic charge carriers. These findings highlight a compelling method to control charge carrier dynamics via the electrolyte, positioning it as a powerful yet underutilized tool for enabling novel device functionalities.
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- 2024
33. Late-time tails in nonlinear evolutions of merging black holes
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De Amicis, Marina, Rüter, Hannes, Carullo, Gregorio, Albanesi, Simone, Ferrus, C. Melize, Mitman, Keefe, Stein, Leo C., Cardoso, Vitor, Bernuzzi, Sebastiano, Boyle, Michael, Deppe, Nils, Kidder, Lawrence E., Moxon, Jordan, Nagar, Alessandro, Nelli, Kyle C., Pfeiffer, Harald P., Scheel, Mark A., Throwe, William, Vu, Nils L., and Zenginoğlu, Anıl
- Subjects
General Relativity and Quantum Cosmology ,High Energy Physics - Theory ,Mathematical Physics - Abstract
We uncover late-time gravitational-wave tails in fully nonlinear 3+1 dimensional numerical relativity simulations of merging black holes, using the highly accurate SpEC code. We achieve this result by exploiting the strong magnification of late-time tails due to binary eccentricity, recently observed in perturbative evolutions, and showcase here the tail presence in head-on configurations for several mass ratios close to unity. We validate the result through a large battery of numerical tests and detailed comparison with perturbative evolutions, which display striking agreement with full nonlinear ones. Our results offer yet another confirmation of the highly predictive power of black hole perturbation theory in the presence of a source, even when applied to nonlinear solutions. The late-time tail signal is much more prominent than anticipated until recently, and possibly within reach of gravitational-wave detectors measurements, unlocking observational investigations of an additional set of general relativistic predictions on the long-range gravitational dynamics., Comment: 5+7 pages, 2+5 figures, 1+1 tables
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- 2024
34. Owi: Performant Parallel Symbolic Execution Made Easy, an Application to WebAssembly
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Andrès, Léo, Marques, Filipe, Carcano, Arthur, Chambart, Pierre, Santos, José Fragoso, and Filliâtre, Jean-Christophe
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Computer Science - Programming Languages - Abstract
In this paper, we present the design of Owi, a symbolic interpreter for WebAssembly written in OCaml, and how we used it to create a state-of-the-art tool to find bugs in programs combining C and Rust code. WebAssembly (Wasm) is a binary format for executable programs. Originally intended for web applications, Wasm is also considered a serious alternative for server-side runtimes and embedded systems due to its performance and security benefits. Despite its security guarantees and sandboxing capabilities, Wasm code is still vulnerable to buffer overflows and memory leaks, which can lead to exploits on production software. To help prevent those, different techniques can be used, including symbolic execution. Owi is built around a modular, monadic interpreter capable of both normal and symbolic execution of Wasm programs. Monads have been identified as a way to write modular interpreters since 1995 and this strategy has allowed us to build a robust and performant symbolic execution tool which our evaluation shows to be the best currently available for Wasm. Moreover, because WebAssembly is a compilation target for multiple languages (such as Rust and C), Owi can be used to find bugs in C and Rust code, as well as in codebases mixing the two. We demonstrate this flexibility through illustrative examples and evaluate its scalability via comprehensive experiments using the 2024 Test-Comp benchmarks. Results show that Owi achieves comparable performance to state-of-the-art tools like KLEE and Symbiotic, and exhibits advantages in specific scenarios where KLEE's approximations could lead to false negatives.
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- 2024
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35. Quantum phases and transitions of bosons on a comb lattice
- Author
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Radzihovsky, Leo and Pellett, Emil
- Subjects
Condensed Matter - Quantum Gases - Abstract
Motivated to elucidate the nature of quantum phases and their criticality when entangled with a correlated quantum bath, we study interacting bosons on a "comb lattice" -- a one-dimensional backbone (system) coupled at its sites to otherwise independent one-dimensional "teeth" chains (bath). We map out the corresponding phase diagram, detailing the nature of the phases and phase transitions. Controlled by the backbone and teeth hopping amplitudes, on-site interaction and chemical potential, phases include a Mott-insulator (MI), backbone (LLb) and teeth (LLp) Luttinger liquids, and the long-range ordered incoherent superfluid (iSF). We explore their properties and potential realizations in condensed matter and cold-atom experiments and simulations., Comment: 5+ pages, 2 figures
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- 2024
36. Are foundation models for computer vision good conformal predictors?
- Author
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Fillioux, Leo, Silva-Rodríguez, Julio, Ayed, Ismail Ben, Cournède, Paul-Henry, Vakalopoulou, Maria, Christodoulidis, Stergios, and Dolz, Jose
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Recent advances in self-supervision and constrastive learning have brought the performance of foundation models to unprecedented levels in a variety of tasks. Fueled by this progress, these models are becoming the prevailing approach for a wide array of real-world vision problems, including risk-sensitive and high-stakes applications. However, ensuring safe deployment in these scenarios requires a more comprehensive understanding of their uncertainty modeling capabilities, which has been barely explored. In this work, we delve into the behavior of vision and vision-language foundation models under Conformal Prediction (CP), a statistical framework that provides theoretical guarantees of marginal coverage of the true class. Across extensive experiments including popular vision classification benchmarks, well-known foundation vision models, and three CP methods, our findings reveal that foundation models are well-suited for conformalization procedures, particularly those integrating Vision Transformers. Furthermore, we show that calibrating the confidence predictions of these models leads to efficiency degradation of the conformal set on adaptive CP methods. In contrast, few-shot adaptation to downstream tasks generally enhances conformal scores, where we identify Adapters as a better conformable alternative compared to Prompt Learning strategies. Our empirical study identifies APS as particularly promising in the context of vision foundation models, as it does not violate the marginal coverage property across multiple challenging, yet realistic scenarios.
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- 2024
37. Note on a differential algebra bound
- Author
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Jimenez, Léo
- Subjects
Mathematics - Logic ,03C45, 03C98, 12H05, 12L12 - Abstract
In a recent article, Freitag, Moosa and the author showed that in differentially closed fields of characteristic zero, if two types are nonorthogonal, then their n+3 and m+3 Morley powers are not weakly orthogonal, where n and m are their respective Lascar ranks. In this short note, we prove that the bound is tight: there are such types with weakly orthogonal n+2 and m+2 Morley powers. The types in question were constructed by Freitag and Moosa as examples of types with degree of nonminimality 2. As interesting as our result are our methods: we rely mostly on Galois theory and some descent argument for types, combined with the failure of the inverse Galois problem over constant parameters., Comment: 8 pages
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- 2024
38. The BrowserGym Ecosystem for Web Agent Research
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De Chezelles, Thibault Le Sellier, Gasse, Maxime, Drouin, Alexandre, Caccia, Massimo, Boisvert, Léo, Thakkar, Megh, Marty, Tom, Assouel, Rim, Shayegan, Sahar Omidi, Jang, Lawrence Keunho, Lù, Xing Han, Yoran, Ori, Kong, Dehan, Xu, Frank F., Reddy, Siva, Cappart, Quentin, Neubig, Graham, Salakhutdinov, Ruslan, Chapados, Nicolas, and Lacoste, Alexandre
- Subjects
Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Software Engineering - Abstract
The BrowserGym ecosystem addresses the growing need for efficient evaluation and benchmarking of web agents, particularly those leveraging automation and Large Language Models (LLMs) for web interaction tasks. Many existing benchmarks suffer from fragmentation and inconsistent evaluation methodologies, making it challenging to achieve reliable comparisons and reproducible results. BrowserGym aims to solve this by providing a unified, gym-like environment with well-defined observation and action spaces, facilitating standardized evaluation across diverse benchmarks. Combined with AgentLab, a complementary framework that aids in agent creation, testing, and analysis, BrowserGym offers flexibility for integrating new benchmarks while ensuring consistent evaluation and comprehensive experiment management. This standardized approach seeks to reduce the time and complexity of developing web agents, supporting more reliable comparisons and facilitating in-depth analysis of agent behaviors, and could result in more adaptable, capable agents, ultimately accelerating innovation in LLM-driven automation. As a supporting evidence, we conduct the first large-scale, multi-benchmark web agent experiment and compare the performance of 6 state-of-the-art LLMs across all benchmarks currently available in BrowserGym. Among other findings, our results highlight a large discrepancy between OpenAI and Anthropic's latests models, with Claude-3.5-Sonnet leading the way on almost all benchmarks, except on vision-related tasks where GPT-4o is superior. Despite these advancements, our results emphasize that building robust and efficient web agents remains a significant challenge, due to the inherent complexity of real-world web environments and the limitations of current models.
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- 2024
39. Metrics for classes of semi-binary phylogenetic networks using $\mu$-representations
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Reichling, Christopher, van Iersel, Leo, and Murakami, Yukihiro
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Quantitative Biology - Populations and Evolution ,Mathematics - Combinatorics - Abstract
Phylogenetic networks are useful in representing the evolutionary history of taxa. In certain scenarios, one requires a way to compare different networks. In practice, this can be rather difficult, except within specific classes of networks. In this paper, we derive metrics for the class of \emph{orchard networks} and the class of \emph{strongly reticulation-visible} networks, from variants of so-called \emph{$\mu$-representations}, which are vector representations of networks. For both network classes, we impose degree constraints on the vertices, by considering \emph{semi-binary} networks., Comment: 28 pages, 10 figures
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- 2024
40. Locally analytic vectors, anticylotomic extensions and a conjecture of Kedlaya
- Author
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Poyeton, Léo
- Subjects
Mathematics - Number Theory - Abstract
Let $K$ be a finite extension of $\mathbf{Q}_p$ and let $\mathcal{G}_K = \mathrm{Gal}(\overline{\mathbf{Q}_p}/K)$. Fontaine has constructed a useful classification of $p$-adic representations of $\mathcal{G}_K$ in terms of cyclotomic $(\varphi,\Gamma)$-modules. Lately, interest has risen around a generalization of the theory of $(\varphi,\Gamma)$-modules, replacing the cyclotomic extension with an arbitrary infinitely ramified $p$-adic Lie extension. Computations from Berger suggest that locally analytic vectors should provide such a generalization for any arbitrary infinitely ramified $p$-adic Lie extension, and this has been conjectured by Kedlaya. In this paper, we focus on the case of $\mathbf{Z}_p$-extensions, using recent work of Berger-Rozensztajn and Porat on an integral version of locally analytic vectors, and prove that Kedlaya's conjecture does not hold for anticyclotomic extensions. This also provide an example of an extension for which there is no overconvergent lift of its field of norms and for which there exist nontrivial higher locally analytic vectors, Comment: This is an early draft so read with caution. Some minor corrections have been made. Comments and remarks are welcome!
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- 2024
41. FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management
- Author
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Hopkins, Bryce, ONeill, Leo, Marinaccio, Michael, Rowell, Eric, Parsons, Russell, Flanary, Sarah, Nazim, Irtija, Seielstad, Carl, and Afghah, Fatemeh
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
The increasing accessibility of radiometric thermal imaging sensors for unmanned aerial vehicles (UAVs) offers significant potential for advancing AI-driven aerial wildfire management. Radiometric imaging provides per-pixel temperature estimates, a valuable improvement over non-radiometric data that requires irradiance measurements to be converted into visible images using RGB color palettes. Despite its benefits, this technology has been underutilized largely due to a lack of available data for researchers. This study addresses this gap by introducing methods for collecting and processing synchronized visual spectrum and radiometric thermal imagery using UAVs at prescribed fires. The included imagery processing pipeline drastically simplifies and partially automates each step from data collection to neural network input. Further, we present the FLAME 3 dataset, the first comprehensive collection of side-by-side visual spectrum and radiometric thermal imagery of wildland fires. Building on our previous FLAME 1 and FLAME 2 datasets, FLAME 3 includes radiometric thermal Tag Image File Format (TIFFs) and nadir thermal plots, providing a new data type and collection method. This dataset aims to spur a new generation of machine learning models utilizing radiometric thermal imagery, potentially trivializing tasks such as aerial wildfire detection, segmentation, and assessment. A single-burn subset of FLAME 3 for computer vision applications is available on Kaggle with the full 6 burn set available to readers upon request., Comment: 12 pages, 8 Figures, 8 Tables
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- 2024
42. Leveraging User Experience and Learning Analytics for Enhanced Student Well-being
- Author
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Aadmi-Laamech, Khadija El, Santos, Patricia, and Hernández-Leo, Davinia
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Computer Science - Human-Computer Interaction - Abstract
This study explores the design and preliminary evaluation of the "Well-being Journey" (WB Journey), a digital tool aimed at enhancing student well-being within educational environments through tailored recommendations for students. The study examines the WB Journey prototype's user experience and its effectiveness in meeting learning analytics goals related to student preferences. To achieve both goals, we employ a mixed-methods approach, combining quantitative data from the User Experience Questionnaire (UEQ) and the Student Expectations of Learning Analytics Questionnaire (SELAQ) with qualitative feedback from a student discussion. Conducted among 25 students from an engineering school in a Spanish University, the study's data collection involved a 120-minute workshop. The findings suggest opportunities for enhancing the prototype, highlighting the importance of aligning similar digital tools with student needs and preferences for a supportive learning environment, which can be achieved by leveraging tools such as UEQ and SELAQ., Comment: 15 pages, 4 figures, 2 tables
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- 2024
43. It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model
- Author
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Shi, Mingyi, Qin, Dafei, Ho, Leo, Liao, Zhouyingcheng, Huang, Yinghao, Yamagishi, Junichi, and Komura, Taku
- Subjects
Computer Science - Sound ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Graphics ,Computer Science - Multimedia ,Electrical Engineering and Systems Science - Audio and Speech Processing - Abstract
Conversational scenarios are very common in real-world settings, yet existing co-speech motion synthesis approaches often fall short in these contexts, where one person's audio and gestures will influence the other's responses. Additionally, most existing methods rely on offline sequence-to-sequence frameworks, which are unsuitable for online applications. In this work, we introduce an audio-driven, auto-regressive system designed to synthesize dynamic movements for two characters during a conversation. At the core of our approach is a diffusion-based full-body motion synthesis model, which is conditioned on the past states of both characters, speech audio, and a task-oriented motion trajectory input, allowing for flexible spatial control. To enhance the model's ability to learn diverse interactions, we have enriched existing two-person conversational motion datasets with more dynamic and interactive motions. We evaluate our system through multiple experiments to show it outperforms across a variety of tasks, including single and two-person co-speech motion generation, as well as interactive motion generation. To the best of our knowledge, this is the first system capable of generating interactive full-body motions for two characters from speech in an online manner., Comment: 15 pages, 10 figures
- Published
- 2024
44. iSEEtree: interactive explorer for hierarchical data
- Author
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Benedetti, Giulio, Seraidarian, Ely, Pralas, Theotime, Jeba, Akewak, Borman, Tuomas, and Lahti, Leo
- Subjects
Computer Science - Mathematical Software ,Computer Science - Graphics ,Quantitative Biology - Genomics ,G.4, H.5.2 - Abstract
$\textbf{Motivation:}$ Hierarchical data structures are prevalent across several fields of research, as they represent an organised and efficient approach to study complex interconnected systems. Their significance is particularly evident in microbiome analysis, where microbial communities are classified at various taxonomic levels along the phylogenetic tree. In light of this trend, the R/Bioconductor community has established a reproducible analytical framework for hierarchical data, which relies on the highly generic and optimised TreeSummarizedExperiment data container. However, using this framework requires basic proficiency in programming. $\textbf{Results:}$ To reduce the entry requirements, we developed iSEEtree, an R shiny app which provides a visual interface for the analysis and exploration of TreeSummarizedExperiment objects, thereby expanding the interactive graphics capabilities of related work to hierarchical structures. This way, users can interactively explore several aspects of their data without the need for extensive knowledge of R programming. We describe how iSEEtree enables the exploration of hierarchical multi-table data and demonstrate its functionality with applications to microbiome analysis. $\textbf{Availability and Implementation:}$ iSEEtree was implemented in the R programming language and is available on Bioconductor at https://bioconductor.org/packages/iSEEtree under an Artistic 2.0 license. $\textbf{Contact:}$ giulio.benedetti@utu.fi or leo.lahti@utu.fi., Comment: 4 pages, 1 figure
- Published
- 2024
45. On a revised concept of an event that allows linking microdosimetry in nanometric sites and nanodosimetry with macroscopic dosimetry
- Author
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Rabus, Hans and Thomas, Leo
- Subjects
Physics - Medical Physics - Abstract
Microdosimetry and nanodosimetry study the track structure of charged particles, i.e., the stochastics of radiation interaction on the microscopic scale. The (different) concepts developed in micro- and nanodosimetry are matched to the experimental approaches in the two fields. This work reviews the concepts of an event used in the two fields and explores a common denominator between the two methodologies to characterize particle track structure at the nanometric level. An approach to harmonize the concepts of microdosimetry and nanodosimetry for nanometric sites and linking them to macroscopic fluence is theoretically formulated and tested on proton tracks with energies between 1 MeV and 100 MeV. Unification of microdosimetry and nanodosimetry for the same target seems to require three elements: (1) the definition of an event as relating to a beam volume within which interactions of the primary particle can result in energy deposits or ionizations in the site, (2) the definition of a nanodosimetric analogue to a microdosimetric event, and (3) the redefinition of the microdosimetric concept of an event to include only events in which an ionization occurs in the site. The range of impact parameters of particle tracks that contributes to energy imparted in a site appears not to depend on whether any energy deposits or only energy deposits by ionizations are considered. Since there is no longer a one-to-one correspondence between tracks passing a site and the occurrence of an event, it is proposed to use the fluence for which on average one event occurs as a substitute for single events., Comment: 14 pages, 8 Figs. plus 11 Suppl. Figs., submitted To Radiation Physics and Chemistry
- Published
- 2024
46. Spacetime-curvature induced uncertainty principle: linking the large-structure global effects to the local black hole physics
- Author
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Pantig, Reggie C., Lambiase, Gaetano, Övgün, Ali, and Lobos, Nikko John Leo S.
- Subjects
General Relativity and Quantum Cosmology - Abstract
This paper links the advanced formulation of the Generalized Uncertainty Principle, termed the Asymptotic Generalized Extended Uncertainty Principle (AGEUP), to the corpuscular framework to derive the AGEUP-inspired black hole metric. The former incorporates spacetime curvature effects to explore black hole dynamics under quantum gravitational corrections, while the latter is a view that black holes are Bose-Einstein condensates of weakly interacting gravitons. In a particular case, the phenomenological union between the AGEUP with cosmological constant $\Lambda$ to the corpuscular framework enabled a black hole metric that has a scaled mass, which depends on $\Lambda$ and the Planck length $l_{\rm Pl}$. Interesting implications occur, such as the maximum limit for mass $M$ where $\Lambda$ ceases to influence the black hole. Another is the derived value of the modulation factor of the EUP term, $\alpha$, if the large-scale fundamental length is defined solely as the cosmological horizon. Additional analysis were done through the shadow and deflection angle phenomena, deriving constraints on the quantum gravity modulation parameter $\beta$. Constraints from the Event Horizon Telescope (EHT) and Very Long Baseline Interferometry (VLBI) are discussed as avenues for verifying AGEUP-related deviations in black hole shadow radius and deflection angles, offering potential observational evidence of quantum gravitational effects at astrophysical scales. The findings suggest that AGEUP could be instrumental in providing hints on the quantum gravity nature of black holes, particularly in high-energy astrophysical contexts. By linking local black hole physics with large-scale curvature effects, AGEUP paves the way for further research at the intersection of quantum gravity and cosmology, with implications for observational astrophysics and the fundamental structure of spacetime., Comment: 12 pages, 0 figures and tables. Comments are welcome!
- Published
- 2024
47. Applicability of multi-component study on Bayesian searches for targeted anisotropic stochastic gravitational-wave background
- Author
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Kuwahara, Soichiro and Tsukada, Leo
- Subjects
General Relativity and Quantum Cosmology ,Astrophysics - High Energy Astrophysical Phenomena - Abstract
Stochastic background gravitational waves have not yet been detected by ground-based laser interferometric detectors, but recent improvements in detector sensitivity have raised considerable expectations for their eventual detection. Previous studies have introduced methods for exploring anisotropic background gravitational waves using Bayesian statistics. These studies represent a groundbreaking approach by offering physically motivated anisotropy mapping that is distinct from the Singular Value Decomposition regularization of the Fisher Information Matrix. However, they are limited by the use of a single model, which can introduce potential bias when dealing with complex data that may consist of a mixture of multiple models. Here, we demonstrate the bias introduced by a single-component model approach in the parametric interpretation of anisotropic stochastic gravitational-wave backgrounds, and we confirm that using multiple-component models can mitigate this bias.
- Published
- 2024
48. FLARE: Towards Universal Dataset Purification against Backdoor Attacks
- Author
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Hou, Linshan, Luo, Wei, Hua, Zhongyun, Chen, Songhua, Zhang, Leo Yu, and Li, Yiming
- Subjects
Computer Science - Cryptography and Security ,Computer Science - Artificial Intelligence ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Deep neural networks (DNNs) are susceptible to backdoor attacks, where adversaries poison datasets with adversary-specified triggers to implant hidden backdoors, enabling malicious manipulation of model predictions. Dataset purification serves as a proactive defense by removing malicious training samples to prevent backdoor injection at its source. We first reveal that the current advanced purification methods rely on a latent assumption that the backdoor connections between triggers and target labels in backdoor attacks are simpler to learn than the benign features. We demonstrate that this assumption, however, does not always hold, especially in all-to-all (A2A) and untargeted (UT) attacks. As a result, purification methods that analyze the separation between the poisoned and benign samples in the input-output space or the final hidden layer space are less effective. We observe that this separability is not confined to a single layer but varies across different hidden layers. Motivated by this understanding, we propose FLARE, a universal purification method to counter various backdoor attacks. FLARE aggregates abnormal activations from all hidden layers to construct representations for clustering. To enhance separation, FLARE develops an adaptive subspace selection algorithm to isolate the optimal space for dividing an entire dataset into two clusters. FLARE assesses the stability of each cluster and identifies the cluster with higher stability as poisoned. Extensive evaluations on benchmark datasets demonstrate the effectiveness of FLARE against 22 representative backdoor attacks, including all-to-one (A2O), all-to-all (A2A), and untargeted (UT) attacks, and its robustness to adaptive attacks., Comment: 13 pages
- Published
- 2024
49. Finite population inference for skewness measures
- Author
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Pasquazzi, Leo
- Subjects
Statistics - Methodology ,62D05 - Abstract
In this article we consider Bowley's skewness measure and the Groeneveld-Meeden $b_{3}$ index in the context of finite population sampling. We employ the functional delta method to obtain asymptotic variance formulae for plug-in estimators and propose corresponding variance estimators. We then consider plug-in estimators based on the H\'{a}jek cdf-estimator and on a Deville-S\"arndal type calibration estimator and test the performance of normal confidence intervals.
- Published
- 2024
50. Quantum unique ergodicity for magnetic Laplacians on T^2
- Author
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Morin, Léo and Rivière, Gabriel
- Subjects
Mathematics - Spectral Theory ,Mathematical Physics ,Mathematics - Analysis of PDEs - Abstract
Given a smooth integral two-form and a smooth potential on the flat torus of dimension 2, we study the high energy properties of the corresponding magnetic Schr\"odinger operator. Under a geometric condition on the magnetic field, we show that every sequence of high energy eigenfunctions satisfies the quantum unique ergodicity property even if the Liouville measure is not ergodic for the underlying classical flow (the Euclidean geodesic flow on the 2-torus).
- Published
- 2024
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