Search

The 2017 Supreme Court ruling in "Endrew vs. Douglas County" charged educators to provide evidence toward the attainment of Individual Education Plan (IEP) goals beyond "de minimus" educational benefit. The purpose of this article is to present two methods that may be useful for supporting IEP teams in evaluating progress toward the attainment of IEP goals. We present trend analysis and goal attainment scaling as single-case outcome methods for evaluating progress toward attaining IEP objectives and determining benefits from instruction. Each method is described along with its respective strengths and limitations, followed by examples of the methods for evaluating IEP goals. Implications for school psychology practice and implementation to support special educators and IEP teams toward evaluating educational benefits in school-based settings are discussed.

This study aims to describe the types of errors made by students in solving Pythagorean theorem story problems based on Newman's theory. This type of research uses descriptive research with a qualitative approach. Data collection was done by tests and interviews. The type of data in this study is qualitative data, namely a description of the types of student errors in solving Pythagorean theorem story problems based on Newman's theory. The subjects of this research were students of class VIIIA SMP Negeri 19 Palu totaling 3 students. The results of this study indicate that students' errors in solving Pythagorean theorem problems in class VIIIA are 1) Comprehension Errors, namely students are unable to understand what is known and what is asked and students do not know what is known and what is asked according to the problem request 2) Transformation Errors, namely students do not write down the formula used, and students are unable to determine the correct formula in solving the problem. 3) Process Skill Errors, namely students do not write down the formula used, and students are unable to determine the correct formula in solving the problem. 3) process skill errors, namely students are unable to perform the procedures or steps used correctly, and students have not been able to perform the correct calculation process. 4) answer writing errors, namely students are unable to write the final answer from solving the problem, students are unable to write and explain the final answer in accordance with the intended conclusion of the problem

This study analyzes students' difficulties in solving set story problems, taking into account students' learning styles. The research approach used a qualitative approach. Data were obtained through questionnaires, written tests and interviews. The results showed that students with visual, auditorial, and kinesthetic learning styles experienced difficulties in solving set story problems. Students with visual learning styles experience two indicators of difficulty, namely difficulty learning concepts and difficulty applying principles. For difficulties in learning concepts, students cannot use formulas that are in accordance with the conditions of the problem, namely the formula for the combination and difference of three sets. As for the difficulty of applying principles, students make mistakes in calculation activities and do not solve the problem. Students with auditorial learning styles experience all indicators of difficulty, namely difficulty learning concepts, difficulty applying principles and difficulty solving verbal problems. In the difficulty of applying concepts, students cannot translate the form of the problem, do not know what is known from the problem, students also do not use formulas that are in accordance with the conditions of the problem. In difficulty applying principles, students make mistakes in calculation activities when solving problems. In the difficulty of solving verbal problems, students make mistakes in translating problems into mathematical form, students also cannot determine the data used, and do not check the answers obtained. Students with kinesthetic learning styles fulfill all indicators of difficulty, namely difficulty learning concepts, difficulty applying principles and difficulty solving verbal problems. In difficulties in learning concepts, students hesitate in using memorization or set notation. students cannot use formulas that are in accordance with the conditions of the problem. In difficulties in applying principles, students make mistakes in calculation activities. This happens because students do not know the formula and make mistakes in using the data used. In the difficulty of solving verbal problems, students make mistakes in determining the data used, students do not check their answers again.

Abstract Recent reports have shown the feasibility of measuring biological age from DNA methylation levels in blood cells from specific regions identified by machine learning, collectively known as the epigenetic clock or DNA methylation clock. While extensive research has explored the association of the DNA methylation clock with cardiovascular diseases, cancer, and Alzheimer's disease, its relationship with kidney diseases remains largely unexplored. In particular, it is unclear whether the DNA methylation clock could serve as a predictor of worsening kidney function. In this pilot study involving 20 subjects, we investigated the association between the DNA methylation clock and subsequent deterioration of renal function. Additionally, we noninvasively evaluated DNA damage in urinary shedding cells using a previously reported method to examine the correlation with the DNA methylation clock and worsening kidney function. Our findings revealed that patients with an accelerated DNA methylation clock exhibited increased DNA damage in urinary shedding cells, along with a higher rate of eGFR decline. Moreover, in cases of advanced CKD (G4-5), the DNA damage in urinary shedding cells was significantly increased, highlighting the interplay between elevated DNA damage and eGFR decline. This study suggests the potential role of the DNA methylation clock and urinary DNA damage as predictive markers for the progression of chronic kidney disease.

Abstract This study performed three-dimensional (3D) magnetic resonance imaging (MRI)-based statistical shape analysis (SSA) by comparing patellofemoral instability (PFI) and normal femur models, and developed a machine learning (ML)-based prediction model. Twenty (19 patients) and 31 MRI scans (30 patients) of femurs with PFI and normal femurs, respectively, were used. Bone and cartilage segmentation of the distal femurs was performed and subsequently converted into 3D reconstructed models. The pointwise distance map showed anterior elevation of the trochlea, particularly at the central floor of the proximal trochlea, in the PFI models compared with the normal models. Principal component analysis examined shape variations in the PFI group, and several principal components exhibited shape variations in the trochlear floor and intercondylar width. Multivariate analysis showed that these shape components were significantly correlated with the PFI/non-PFI distinction after adjusting for age and sex. Our ML-based prediction model for PFI achieved a strong predictive performance with an accuracy of 0.909 ± 0.015, and an area under the curve of 0.939 ± 0.009 when using a support vector machine with a linear kernel. This study demonstrated that 3D MRI-based SSA can realistically visualize statistical results on surface models and may facilitate the understanding of complex shape features.

Abstract Clinical studies using suspensions or sheets of human pluripotent cell-derived retinal pigment epithelial cells (hiPSC-RPE) have been conducted globally for diseases such as age-related macular degeneration. Despite being minimally invasive, cell suspension transplantation faces challenges in targeted cell delivery and frequent cell leakage. Conversely, although the RPE sheet ensures targeted delivery with correct cell polarity, it requires invasive surgery, and graft preparation is time-consuming. We previously reported hiPSC-RPE strips as a form of quick cell aggregate that allows for reliable cell delivery to the target area with minimal invasiveness. In this study, we used a microsecond pulse laser to create a local RPE ablation model in cynomolgus monkey eyes. The hiPSC-RPE strips were transplanted into the RPE-ablated and intact sites. The hiPSC-RPE strip stably survived in all transplanted monkey eyes. The expansion area of the RPE from the engrafted strip was larger at the RPE injury site than at the intact site with no tumorigenic growth. Histological observation showed a monolayer expansion of the transplanted RPE cells with the expression of MERTK apically and collagen type 4 basally. The hiPSC-RPE strip is considered a beneficial transplantation option for RPE cell therapy.

Abstract Residue-level coarse-grained (CG) molecular dynamics (MD) simulation is widely used to investigate slow biological processes that involve multiple proteins, nucleic acids, and their complexes. Biomolecules in a large simulation system are distributed non-uniformly, limiting computational efficiency with conventional methods. Here, we develop a hierarchical domain decomposition scheme with dynamic load balancing for heterogeneous biomolecular systems to keep computational efficiency even after drastic changes in particle distribution. These schemes are applied to the dynamics of intrinsically disordered protein (IDP) droplets. During the fusion of two droplets, we find that the changes in droplet shape correlate with the mixing of IDP chains. Additionally, we simulate large systems with multiple IDP droplets, achieving simulation sizes comparable to those observed in microscopy. In our MD simulations, we directly observe Ostwald ripening, a phenomenon where small droplets dissolve and their molecules redeposit into larger droplets. These methods have been implemented in CGDYN of the GENESIS software, offering a tool for investigating mesoscopic biological processes using the residue-level CG models.

Abstract Background Kidney transplant recipients (KTRs) are at risk of severe coronavirus disease 2019 (COVID-19), and even now that Omicron subvariants have become dominant, cases of severe disease are certain to occur. The aims of this retrospective study were to evaluate the efficacy of antiviral treatment for COVID-19 and to identify risk factors for severe disease in KTRs during Omicron subvariant-dominant periods. Methods A total of 65 KTRs diagnosed with COVID-19 who received antiviral treatment between July 2022 and September 2023 were analyzed. Mild cases received oral molnupiravir (MP) as outpatient therapy, while moderate or worse cases received intravenous remdesivir (RDV) as inpatient therapy. In principle, mycophenolate mofetil was withdrawn and switched to everolimus. We investigated the efficacy of antiviral treatment and compared the clinical parameters of mild/moderate and severe/critical cases to identify risk factors for severe COVID-19. Results Among 65 cases, 49 were mild, 6 were moderate, 9 were severe, and 1 was of critical severity. MP was administered to 57 cases; 49 (86%) improved and 8 (14%) progressed. RDV was administered to 16 cases; 14 (87%) improved and 2 (13%) progressed. Seventeen (26%) cases required hospitalization, and none died. Comparisons of the severe/critical group (n = 10) with the mild/moderate group (n = 55) demonstrated that the severe/critical group had a significantly higher median age (64 vs. 53 years, respectively; p = 0.0252), prevalence of diabetes (70% vs. 22%, respectively; p = 0.0047) and overweight/obesity (40% vs. 11%, respectively; p = 0.0393), as well as a significantly longer median time from symptom onset to initial antiviral therapy (3 days vs. 1 day, respectively; p = 0.0026). Multivariate analysis showed that a longer time from symptom onset to initial antiviral treatment was an independent risk factor for severe COVID-19 (p = 0.0196, odds ratio 1.625, 95% confidence interval 1.081–2.441). Conclusion These findings suggest that a longer time from symptom onset to initial antiviral treatment is associated with a higher risk of severe COVID-19 in KTRs. Initiating antiviral treatment as early as possible is crucial for preventing severe outcomes; this represents a valuable insight into COVID-19 management in KTRs.

Abstract This study explores the potential of cross-border citizen dialogues on the Sustainable Development Goals (SDGs) for uncovering cultural barriers and catalysts in sustainability transformations. We utilised a form adapted from the Open Dialogue approach, originally developed in Finnish mental health care, now refined for broader applications in facilitating open citizen dialogues on gender equality (Goal 5) and biodiversity conservation (Goals 14 and 15). Indicators were developed and used to assess attitudinal shifts post-dialogue. The dialogues increased the sense of urgency and importance of gender equality and biodiversity conservation, particularly among the Japanese participants, who initially displayed less engagement than their Finnish counterparts. The dialogue also expanded the scope of collaboration among the Japanese participants, reflected in a heightened sense of global citizenship, as measured by trust scores. Both Finnish and Japanese participants showed a moderate increase in recognising cultural influences on sustainability. Further research is necessary to understand how cross-cultural dialogues can enhance reflection on sustainability at the group level. Additionally, integrating such dialogues into decision-making processes may bolster collective reflexivity.

Abstract An extreme thermophilic bacterium, Thermus thermophilus produces more than 20 unusual polyamines, but their biosynthetic pathways, including homospermidine, are not yet fully understood. Two types of homospermidine synthases have been identified in plants and bacteria, which use spermidine and putrescine or two molecules of putrescine as substrates. However, homospermidine synthases with such substrate specificity have not been identified in T. thermophilus. Here we identified a novel agmatine homocoupling enzyme that is involved in homospermidine biosynthesis in T. thermophilus. The reaction mechanism is different from that of a previously described homospermidine synthase, and involves conjugation of two molecules of agmatine, which produces a diamidino derivative of homospermidine (caldomycin) as an immediate precursor of homospermidine. We conclude that there is a homospermidine biosynthetic pathway from agmatine via caldomycin synthase followed by ureohydrolase in T. thermophilus. Furthermore, it is shown that caldomycin is a novel compound existing in nature.

Introduction: The retinal pigment epithelium (RPE) plays essential roles in maintaining retinal functions as well as choroidal capillaries and can lead to visual disorders if dysfunctional. Transplantation of human-induced pluripotent stem cell-derived RPE (hiPSC-RPE) is a promising therapy for such RPE impaired conditions including age-related macular degeneration. The challenge with cell suspension transplantation is targeted delivery of graft cells and undesired cell reflux. Gelatin hydrolysate, a soluble variant with specific molecular weight distribution, is examined in this study for its potential use in hiPSC-RPE suspension transplantation, particularly in reducing cell reflux and enhancing RPE engraftment. Methods: A retinal bleb model was created using polydimethylsiloxane (PDMS) soft lithography to quantify cellular reflux. We examined the effects of gelatin hydrolysate on the hiPSC-RPE of various aspects of cell behavior and performance such as cell viability, hypoxia reaction, morphology, induction of inflammation and immune responses. Results: Gelatin hydrolysate at 5 % concentration effectively mitigated cell reflux in vitro mimic, improved cell viability, reduced cell aggregation, and had an inhibitory effect on hypoxic reactions due to cell deposition with hiPSC-RPE. Additionally, gelatin hydrolysate did not affect cell adhesion and morphology, and decreased the expression of major histocompatibility complex class II molecules, which suggests reduced immunogenicity of hiPSC-RPE. Conclusion: Gelatin hydrolysate is considered a valuable and useful candidate for future regenerative therapies in hiPSC-RPE suspension transplantation.

This study aimed to identify the reasons for transferring athletes to local medical facilities during the Olympic and Paralympic Games. Data on 567 injuries and other illnesses of athletes treated at the on-site clinics were collected from the Tokyo 2020 Organizing Committee. Of these, 84 athletes who required outpatient care during the Games were registered for this survey. During the Olympic and Paralympic Games, 66 (8.3/1 000) and 18 (7.2/1 000) athletes, respectively, consulted external medical facilities. In the Olympic Games, the reasons for these visits included 48 cases (72.7%) of injuries, 13 (19.7%) cases of illnesses, and 5 (7.6%) cases of heat stroke illness (HSI). Of these patients, 56 (84.9%) were treated as outpatients and 10 (15.1%) were hospitalized, while three of these patients required hospitalization for > 7 days. On the other hand, in the Paralympics Games, there were 7 (38.8%) cases of injuries, 9 (50.0%) other illnesses, 1 (5.6%) case of HSI, and 1 (5.6%) other cases, of which 11 (61.1%) were treated as outpatients and 7 (38.9%) were hospitalized, but none was hospitalized for > 7 days. Injuries accounted for 70% of the total cases at the 2021 Olympic Games, but only three (0.05%) were severe cases that required hospitalization for more than 1 week. In contrast, in the Paralympic Games, other illnesses accounted for approximately half of the total cases. This study provides details on the extent of injuries and other illnesses that were transferred to outside facilities, which has not been documented in previous games.

Summary: Background: Emergence of SARS-CoV-2 variants that escape neutralising antibodies hampers the development of vaccines and therapeutic antibodies against SARS-CoV-2. IGHV3-53/3-66-derived public antibodies, which are generally specific to the prototype virus and are frequently induced in infected or vaccinated individuals, show minimal affinity maturation and high potency against prototype SARS-CoV-2. Methods: Monoclonal antibodies isolated from a Delta breakthrough infection case were analysed for cross-neutralising activities against SARS-CoV-2 variants. The broadly neutralising antibody K4-66 was further analysed in a hamster model, and the effect of somatic hypermutations was assessed using the inferred germline precursor. Findings: Antibodies derived from IGHV3-53/3-66 showed broader neutralising activity than antibodies derived from IGHV1-69 and other IGHV genes. IGHV3-53/3-66 antibodies neutralised the Delta variant better than the IGHV1-69 antibodies, suggesting that the IGHV3-53/3-66 antibodies were further maturated by Delta breakthrough infection. One IGHV3-53/3-66 antibody, K4-66, neutralised all Omicron subvariants tested, including EG.5.1, BA.2.86, and JN.1, and decreased the viral load in the lungs of hamsters infected with Omicron subvariant XBB.1.5. The importance of somatic hypermutations was demonstrated by the loss of neutralising activity of the inferred germline precursor of K4-66 against Beta and Omicron variants. Interpretation: Broadly neutralising IGHV3-53/3-66 antibodies have potential as a target for the development of effective vaccines and therapeutic antibodies against newly emerging SARS-CoV-2 variants. Funding: This work was supported by grants from AMED (JP23ym0126048, JP22ym0126048, JP21ym0126048, JP23wm0125002, JP233fa627001, JP223fa627009, JP24jf0126002, and JP22fk0108572), and the JSPS (JP21H02970, JK23K20041, and JPJSCCA20240006).

Isolation of tumor-specific T cells and their antigen receptors (TCRs) from malignant pleural effusions (MPE) may facilitate the development of TCR-transduced adoptive cellular immunotherapy products for advanced lung cancer patients. However, the characteristics and markers of tumor-specific T-cells in MPE are largely undefined. To this end, to establish the phenotypes and antigen specificities of CD8+ T cells, we performed single-cell RNA and TCR sequencing of samples from three advanced lung cancer patients. Dimensionality reduction on a total of 4,983 CD8+ T cells revealed 10 clusters including naïve, memory, and exhausted phenotypes. We focused particularly on exhausted T cell clusters and tested their TCR reactivity against neoantigens predicted from autologous cancer cell lines. Four different TCRs specific for the same neoantigen and one orphan TCR specific for the autologous cell line were identified from one of the patients. Differential gene expression analysis in tumor-specific T cells relative to the other T cells identified CXCL13, as a candidate gene expressed by tumor-specific T cells. In addition to expressing CXCL13, tumor-specific T cells were present in a higher proportion of T cells co-expressing PDCD1(PD-1)/TNFRSF9(4-1BB). Furthermore, flow cytometric analyses in advanced lung cancer patients with MPE documented that those with high PD-1/4-1BB expression have a better prognosis in the subset of 57 adenocarcinoma patients (p = .039). These data suggest that PD-1/4-1BB co-expression might identify tumor-specific CD8+ T cells in MPE, which are associated with patients’ prognosis. (233 words)

ABSTRACTThe development of effective prophylaxis strategies against graft-versus-host disease (GVHD) has contributed to the widespread use of haploidentical related hematopoietic cell transplantation (Haplo-HCT). Currently, GVHD prophylaxis containing posttransplant cyclophosphamide (PTCY) is considered the standard of care in Haplo-HCT, and recent studies have shown comparable results for PTCY-based Haplo-HCT and HCT from other donor sources. The conditioning regimen plays an important role in eradicating tumor cells to prevent disease relapse and suppressing the recipient’s immune system to facilitate engraftment. PTCY-based Haplo-HCT was initially developed using a nonmyeloablative conditioning regimen consisting of fludarabine, cyclophosphamide and low-dose total body irradiation, but high relapse rates reinforced the need to intensify the conditioning regimen. In this respect, various myeloablative and reduced-intensity conditioning regimens have been investigated. However, the optimal conditioning regimens for PTCY-based Haplo-HCT have not yet been established, and this issue needs to be addressed based on data from patients undergoing the procedure. In this article, we review the existing literature on conditioning regimens for PTCY-based Haplo-HCT and discuss future perspectives.

BACKGROUND: The gut-brain axis involves bidirectional communication between the gut-microbiota and central nervous system. This study aimed to investigate whether probiotics and/or prebiotics, known as Microbiome-targeted Therapies (MTTs), improve cognition and prevent postoperative cognitive dysfunction (POCD). METHODS: Relevant animal and human studies were identified using a systematic database search (PubMed, EMBASE, Cochrane Library, and Web of Science), focusing on the effects of MTTs on inflammation, perioperative and non-perioperative cognitive impairment. Screening and data extraction were conducted by two independent reviewers. The Risk of bias was assessed using the SYRCLEs risk of bias tool for animal studies. The revised Cochrane risk of bias tool (RoB 2) was used for human studies. RESULTS: A total of 24 articles were selected; 16 of these involved animal studies, and 8 described studies in humans. In these papers, the use of MTTs consistently resulted in decreased inflammation in perioperative and non-perioperative settings. Out of 16 animal studies, 5 studies (2 associated with delirium and 3 studies related to POCD) were conducted in a perioperative setting. MTTs improved perioperative cognitive behavior and reduced inflammation in all 5 animal studies. Eleven animal studies were conducted in a non-perioperative setting. In all of these studies, MTTs showed improvement in learning and memory function. MTTs showed a positive effect on levels of pro-inflammatory cytokines and biomarkers related to cognitive function. Among the 8 human studies, only one study examined the effects of perioperative MTTs on cognitive function. This study showed a reduced incidence of POCD along with improved cognitive function. Of the remaining 7 studies, 6 suggested that MTTs improved behavioral test results and cognition in non-perioperative environments. One study failed to show any significant differences in memory, biomarkers of inflammation, or oxidative factors. CONCLUSION: In the studies we examined, most showed that MTTs decrease inflammation by down-regulating inflammatory cytokines and oxidative stress in both perioperative and non-perioperative settings. In general, MTTs also seem to have a positive effect on cognition through neural, immune, endocrine, and metabolic pathways. However, these effects have not yet resulted in a consensus regarding preventative strategies or treatments. Based on these current research results, MTTs could be a potential new preventative strategy for cognitive impairment after surgery.

ABSTRACT Background Pancreatic acinar cell carcinoma (PACC) is a rare pancreatic neoplasm. Recently, molecular analysis revealed that PACC shows a high frequency of the BRCA1/2 mutation and is likely to be considered a cancer associated with hereditary breast and ovarian cancer (HBOC). Hereditary cancers, including HBOC, are characterized by multifocal and/or metachronous tumors. However, no case reports exist of germline BRCA1‐mutated synchronous and metachronous PACC. Case A 58‐year‐old man was diagnosed with synchronous and metachronous PACC at the age of 56 and underwent two surgeries. Ten months after the second surgery, the patient developed multiple liver metastases. Gemcitabine plus nab‐paclitaxel therapy was administered as first‐line chemotherapy. After seven cycles, computed tomography examination revealed progressive disease (PD). Therefore, modified FOLFIRINOX (mFFX) was administered as second‐ line chemotherapy. After 19 cycles of mFFX, comprehensive cancer genomic profiling (CGP) identified a BRCA1 pathogenic variant that was confirmed to be germline origin. Accordingly, we treated the patient with olaparib; however, he was diagnosed with PD after 4 months. He subsequently died 5 years and 9 months after the initial surgery, and 3 years and 10 months after chemotherapy. Based on the genetic data of the patients, his family members received genetic counseling followed by cascade testing. Consequently, the same gBRCA1 pathogenic variant was detected in the son and his surveillance for HBOC‐related cancers was initiated. Conclusion We diagnosed a 58‐year‐old man with a synchronous and metachronous PACC with germline BRCA1 pathogenic variant. Considering that PACC is likely to have BRCA1/2 mutations responsible for HBOC, we need to be aware of the possible presence of multifocal and/or metachronous tumors in patients with PACC. Additionally, patients with PACC should undergo genetic examinations, which would be beneficial in determining treatment strategies and health care for blood relatives.

Infrastructure operation and maintenance is essential for societal safety, particularly in Japan where the aging of infrastructures built during the period of high economic growth is advancing. However, there are issues such as a shortage of engineers and inefficiencies in work, requiring improvements in efficiency and automation for their resolution. Nevertheless, there are still many inefficiencies in the current procedures for bridge inspections. Usually, inspection engineers check for damage on bridges through close visual inspections at the site, then photograph the damaged parts, measure the size by touch, and create a report. A three-dimensional representation, considering the front and back of the structural elements, is needed for identifying damage, necessitating the creation of multi-directional three-dimensional drawings. However, this process is labor-intensive and prone to errors. Furthermore, due to the lack of uniformity in records, it is challenging to refer to past inspection histories. Especially for long bridges, without resolving such issues, the required labor and the number of mistakes could exceed acceptable limits, making proper management difficult. Therefore, in this study, we developed a method for automatically measuring the position and area of corroded parts by capturing images of the lower surface of the stiffening girder using a bridge inspection vehicle and utilizing image diagnosis technology. By integrating these results into a 3D model called BIM (Building Information Modeling), it becomes possible to manage the bridge more efficiently. We verified this method on actual long bridges and confirmed its effectiveness.

Introduction: Lower limb exoskeletons have shown considerable potential in assisting human walking, particularly by reducing metabolic cost (MC), leading to a surge of interest in this field in recent years. However, owing to significant individual differences and the uncertainty of movements, challenges still exist in the personalized design and control of exoskeletons in human-robot interactions.Methods: In this study, we propose a hybrid data-driven approach that integrates musculoskeletal simulation with machine learning technology to customize personalized assistance strategies efficiently and adaptively for ankle-foot exoskeletons. First, optimal assistance strategies that can theoretically minimize MC, were derived from forward muscle-driven simulations on an open-source dataset. Then, a neural network was utilized to explore the relationships among different individuals, movements, and optimal strategies, thus developing a predictive model.Results: With respect to transfer learning, our approach exhibited effectiveness and adaptability when faced with new individuals and movements. The simulation results further indicated that our approach successfully reduced the MC of calf muscles by approximately 20% compared to normal walking conditions.Discussion: This hybrid approach offers an alternative for personalizing assistance strategy that may further guide exoskeleton design.

We designed and fabricated our original laminated materials that simultaneously exhibited different properties: magneto-optical (MO), i.e., the transverse MO Kerr effects (T-MOKE) and surface-plasmon resonance (SPR). The material design was composed of dielectric, magnetic, and noble-metal layers. We selected the soft-magnetic FeSi thin film as a T-MOKE magnetic layer, while an Au thin film was chosen as a SPR-source layer, creating an FeSi-/Au-based “MO-SPR material.” Strong interactions between T-MOKE and SPR were demonstrated. When the material is irradiated with a laser beam of wavelength 660 nm, at the SPR angle to the material, θR, the highest T-MOKE value was attained. The T-MOKE was markedly enhanced at θR: ∼32 to ∼84 times higher compared with the FeSi single layer (reference). The T-MOKE was amplified by a strong interaction between MO activities and electromagnetic field distributions. The FeSi (5.0 nm)/Au (14.8 nm) specimen achieved the best signal-to-noise ratio (SNR). The sample was then tested for its sensing efficiency by measuring the T-MOKE using distilled water and a glucose solution, respectively: It was possible to distinguish between two different solutions. Our MO-SPR materials utilizing both magnetism and near-field light are thus sufficiently sensitive to be applicable as sensing materials. Furthermore, the polarity of the T-MOKE signal is flipped under the application of a small, external magnetic field owing to the soft magnetism of the FeSi T-MOKE layer. This is highly advantageous to create high-frequency AC-magnetic synchronized T-MOKE sensing systems with low-power consumption.

ABSTRACT Background SMARCA4 is a component gene of the SWI/SNF (SWItch/Sucrose NonFermentable) chromatin remodeling complex; undifferentiated tumors associated with its functional deletion have been described in several organs. However, no established treatment for these tumors currently exists. Case In this study, we report a case of a SMARCA4‐deficient undifferentiated urothelial carcinoma with high PD‐L1 expression that was effectively treated with nivolumab after early relapse following treatment for non‐invasive bladder cancer. The histological morphology of the rhabdoid‐like undifferentiated tumor of unknown primary led us to suspect a SWI/SNF‐deficient tumor, and subsequent immunostaining led to the diagnosis of a SMARCA4‐deficient undifferentiated tumor. This effort also led to the identification of the developmental origin of this SMARCA4‐deficient undifferentiated tumor as a non‐invasive bladder cancer. We also carried out a detailed immune phenotypic assay on peripheral T cells. In brief, a phenotypic change of CD8+T cells from naive to terminally differentiated effector memory cells was observed. Conclusion Regardless of the organ of cancer origin or cancer type, SWI/SNF‐deficient tumors should be suspected in undifferentiated and dedifferentiated tumors, and immune checkpoint inhibitors may be considered as a promising treatment option for this type of tumor. The pathogenesis of SMARCA4‐deficient anaplastic tumors awaits further elucidation for therapeutic development.

Objective: Uncoupling protein 2 (UCP2) is an ion/anion transporter in the mitochondrial inner membrane that plays a crucial role in immune response, regulation of oxidative stress, and cellular metabolism. UCP2 polymorphisms are linked to chronic inflammation, obesity, diabetes, heart disease, exercise efficiency, and longevity. Daily step count and number of teeth are modifiable factors that reduce mortality risk, although the role of UCP2 in this mechanism is unknown. This study aimed to assess the possible effects of UCP2 polymorphisms on the association between daily step count and number of teeth with all-cause mortality. Methods: This study was conducted as a cohort project involving adult Japanese outpatients at Sado General Hospital (PROST). The final number of participants was 875 (mean age: 69 y). All-cause mortality during thirteen years (from June 2008 to August 2021) was recorded. The functional UCP2 genotypes rs659366 and rs660339 were identified using the Japonica Array®. Survival analyses were performed using multivariate Cox proportional hazard models. Results: There were 161 deaths (mean observation period: 113 months). Age, sex, daily step count, and the number of teeth were significantly associated with mortality. In females, UCP2 polymorphisms were associated with mortality independent of other factors (rs659366 GA compared to GG + AA; HR = 2.033, p = 0.019, rs660339 C T compared to CC + TT; HR = 1.911, p = 0.029). Multivariate models, with and without UCP2 genotypes, yielded similar results. The interaction terms between UCP2 genotype and daily step count or number of teeth were not significantly associated with mortality. Conclusion: The effects of UCP2 polymorphisms on the association between daily step count or the number of teeth and all-cause mortality were not statistically significant. In females, UCP2 polymorphisms were significantly associated with all-cause mortality. Our findings confirmed the importance of physical activity and oral health and suggested a role of UCP2 in mortality risk independently with those factors.

Petroleum fuel is the primary source of energy today. Its use often causes environmental problems, one of them SOx gas emissions. Palm fatty acid distillate (PFAD) is a by-product of crude palm oil refining and has great promise to be developed as a renewable energy source. This research investigates the effect of Ni/P catalyst ratios impregnated by activated natural zeolite as solid support to properties and performance of hydrodeoxygenation (HDO) of PFAD to green diesel. The HDO reaction was performed by varying Ni/P at a temperature of 350 °C for 2 h, and 40 bar H2 pressure. The highest conversion and selectivity of PFAD to green diesel are obtained at a ratio of NiP(2:1)/NZ0.5 catalyst.

Much of the student-staff partnership literature calls for increased collaboration and power sharing among staff and students. Less common are accounts by student partners themselves that take up the challenge of what partnership and power feel like as universities embrace their neoliberal trajectory - and - purport to do so on behalf of students themselves. Especially acute is the conundrum of how partnership initiatives can, and do, reproduce the very power dynamics they set out to transform. We are a group of students and staff working in curriculum partnership together at Western Sydney University. The context of our work together is the 21C project, a university-wide strategy to transform curriculum, teaching, and learning, drawing on 'partnership pedagogy'. In this paper, we engage in a process of reflexive inquiry to interrogate a new elective unit that many of us are involved in as advocates, co-creators, as students and staff learning together, and as evaluators, called "We are the university: Students co-creating change" (WATU). To highlight partnership's intricate power plays, we offer a fictionalised account to reflect our multi-voiced experiences of being involved in WATU. We have come to understand power's simultaneity in partnership as forms of power "over," as "permission-giving," as "sharing (or partnership)," and as the power "to act (agency)." The account is our story of partnership's inevitable contradictions - a collaboration that teaches us about the challenges of working together while being cautious of partnership's transformatory claims. [The page range (258-274) cited in the .pdf is incorrect. The correct page range is p258-272.]

Abstract Mixed monolayers of cellulose acetate and organo-modified montmorillonite were prepared on a water surface, and their morphologies and structures were evaluated. Cellulose acetate exhibited an integrated morphology of cellulose [...]

Satellite-based estimations of dry-air column-averaged mixing ratios of methane (XCH4) contribute to a better understanding of changes in CH4 emission sources and variations in its atmospheric growth rates. High accuracy of the satellite measurements is required, and therefore, extensive validation is performed, mainly against the Total Carbon Column Observing Network (TCCON). However, validation opportunities at open-ocean areas outside the coastal regions are sparse. We propose a new approach to assess the accuracy of satellite-derived XCH4 trends and variations. We combine various ship and aircraft observations with the help of atmospheric chemistry models, mainly used for the stratospheric column, to derive observation-based XCH4 (obs. XCH4). Based on our previously developed approach for the application to XCO2, we investigated three different advancements, from a simple approach to more elaborate approaches (approaches 1, 2, and 3), to account for the higher tropospheric and stratospheric variability in CH4 as compared to CO2. Between 2014 and 2018, at 20–40° N of the western Pacific, we discuss the uncertainties in the approaches and the derived obs. XCH4 within 10° by 20° latitude–longitude boxes. Uncertainties were 22 ppb (parts per billion) for approach 1, 20 ppb for approach 2, and 16 ppb for approach 3. We analyzed the consistency with the nearest TCCON stations and found agreement of approach 3 with Saga of 1±12 ppb and -1±11 ppb with Tsukuba for the northern and southern latitude box, respectively. Furthermore, we discuss the impact of the modeled stratospheric column on the derived obs. XCH4 by applying three different models in our approaches. Depending on the models, the difference can be more than 12 ppb (0.6 %), showing the importance for the appropriate choice. We show that our obs. XCH4 dataset accurately captures seasonal variations in CH4 over the ocean. Using different retrievals of the Greenhouse Gases Observing Satellite (GOSAT) from the National Institute for Environmental Studies (NIES), the RemoTeC full-physics retrieval operated at the Netherlands Institute for Space Research (SRON), and the full-physics retrieval of the University of Leicester (UoL-OCFP), we demonstrate the applicability of the dataset for satellite evaluation. The comparison with results of approach 3 revealed that NIES showed a difference of −0.04 ± 13 ppb and strong scatter at 20–30° N, while RemoTeC and OCFP have a rather systematic negative bias of −12.1 ± 8.1 and −10.3 ± 9.6 ppb. Our new approach to derive XCH4 reference datasets over the ocean can contribute to the validation of existing and upcoming satellite missions in future.

Abstract Non-alcoholic fatty liver disease is a common liver disease worldwide, and is associated with dysregulation of lipid metabolism, leading to inflammation and fibrosis. Acanthopanax senticosus Harms (ASH) is widely used in traditional medicine as an adaptogen food. We examined the effect of ASH on steatohepatitis using a high-fat diet mouse model. Mice were fed a choline-deficient, l-amino acid-defined, high-fat diet with ASH extract (ASHE). After 6 weeks, liver RNA transcriptome sequencing (RNA-Seq) was performed, followed by Ingenuity Pathway Analysis (IPA). Our findings revealed that mice fed a high-fat diet with 5% ASHE exhibited significantly reduced liver steatosis. These mice also demonstrated alleviated inflammation and reduced fibrosis in the liver. IPA of RNA-Seq indicated that hepatocyte nuclear factor 4 alpha (HNF4 alpha), a transcription factor, was the activated upstream regulator (P-value 0.00155, z score = 2.413) in the liver of ASHE-fed mice. Adenosine triphosphate binding cassette transporter 8 and carboxylesterase 2, downstream targets of HNF4 alpha pathway, were upregulated. Finally, ASHE-treated HepG2 cells exposed to palmitate exhibited significantly decreased lipid droplet contents. Our study provides that ASHE can activate HNF4 alpha pathway and promote fat secretion from hepatocytes, thereby serving as a prophylactic treatment for steatohepatitis in mice.

Abstract SNARE-mediated vesicular transport is thought to play roles in photoreceptor glutamate exocytosis and photopigment delivery. However, the functions of Synaptosomal-associated protein (SNAP) isoforms in photoreceptors are unknown. Here, we revisit the expression of SNAP-23 and SNAP-25 and generate photoreceptor-specific knockout mice to investigate their roles. Although we find that SNAP-23 shows weak mRNA expression in photoreceptors, SNAP-23 removal does not affect retinal morphology or vision. SNAP-25 mRNA is developmentally regulated and undergoes mRNA trafficking to photoreceptor inner segments at postnatal day 9 (P9). SNAP-25 knockout photoreceptors develop normally until P9 but degenerate by P14 resulting in severe retinal thinning. Photoreceptor loss in SNAP-25 knockout mice is associated with abolished electroretinograms and vision loss. We find mistrafficked photopigments, enlarged synaptic vesicles, and abnormal synaptic ribbons which potentially underlie photoreceptor degeneration. Our results conclude that SNAP-25, but not SNAP-23, mediates photopigment delivery and synaptic functioning required for photoreceptor development, survival, and function.

We, herein, report a surgical technique for laparoscopy-assisted jejunostomy tube placement in an infant using a loop needle device to fix the jejunum and abdominal wall. A 3-year-old boy with Down's syndrome underwent nutritional management by gastrostomy due to oral feeding difficulty after radical surgery for congenital duodenal stenosis and following bile duct stenosis. However, intractable gastrostomy site leakage emerged; hence, laparoscopy-assisted gastrostomy takedown and simultaneous laparoscopy-assisted jejunostomy tube placement were planned. After laparoscopy-assisted gastrostomy closure was performed, the jejunum was extracted through the umbilical trocar wound. A jejunostomy tube kit was inserted at the left side of the umbilicus. After tube insertion into the jejunum, the jejunostomy tube was wrapped with four interrupted sutures using the Witzel technique. Suture threads were extracted by percutaneous insertion of a loop needle device, and then, the jejunum was fixed to the abdominal wall. The post-operative course was uneventful. Percutaneous insertion of a loop needle device is useful for fixing a jejunostomy tube to the abdominal wall using the Witzel technique. Our technique is safe, secure and expected to reduce the risk of dislodgement of tube and peritonitis associated with jejunostomy tube placement.

One of the most significant indicators of heart and cardiovascular health is blood pressure (BP). Blood pressure (BP) has gained great attention in the last decade. Uncontrolled high blood pressure increases the risk of serious health problems, including heart attack and stroke. Recently, machine/deep learning has been leveraged for learning a BP from photoplethysmography (PPG) signals. Hence, continuous BP monitoring can be introduced, based on simple wearable contact sensors or even remotely sensed from a proper camera away from the clinical setup. However, the available training dataset imposes many limitations besides the other difficulties related to the PPG time series as high-dimensional data. This work presents beat-by-beat continuous PPG-based BP monitoring while accounting for the aforementioned limitations. For a better exploration of beats’ features, we propose to use wavelet scattering transform as a better descriptive domain to cope with the limitation of the training dataset and to help the deep learning network accurately learn the relationship between the morphological shapes of PPG beats and the BP. A long short-term memory (LSTM) network is utilized to demonstrate the superiority of the wavelet scattering transform over other domains. The learning scenarios are carried out on a beat basis where the input corresponding PPG beat is used for predicting BP in two scenarios; (1) Beat-by-beat arterial blood pressure (ABP) estimation, and (2) Beat-by-beat estimation of the systolic and diastolic blood pressure values. Different transformations are used to extract the features of the PPG beats in different domains including time, discrete cosine transform (DCT), discrete wavelet transform (DWT), and wavelet scattering transform (WST) domains. The simulation results show that using the WST domain outperforms the other domains in the sense of root mean square error (RMSE) and mean absolute error (MAE) for both of the suggested two scenarios.