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Aim Methods Results Conclusion We investigated the associations between motor performance and IQ at 5 years of age and school difficulties and grade point averages (GPAs) at 18 years of age. Additionally, the accuracy of preschool IQ in predicting school difficulties was examined.A nationwide follow‐up study of children born in 1994–1995 who were <28 weeks of gestation or had a birthweight <1000 g. The Danish personal identification number was used to merge data from a national cohort study with population‐based registries. Logistic regression analyses examined the associations between motor performance/IQ and school difficulties. Linear regression analyses and the area under the receiver operator curve (AUC) were used to examine the relationship between IQ and GPAs.The study population comprised 248 children, 37% were classified with school difficulties. Motor performance and IQ were associated with school difficulties. The odds of having school difficulties increased as IQ decreased, and the same pattern was observed for GPAs. IQ predicted school difficulties, with an AUC of 0.80 (confidence interval: 0.74–0.86).Preschool motor performance and IQ were associated with school difficulties. Additionally, IQ was linked to GPAs. As a screening tool, the predictive ability of preschool IQ for academic difficulties was moderate/high in this cohort. [ABSTRACT FROM AUTHOR]

The extended depth-of-focus AcrySof IQ Vivity intraocular lens technology offers promising features for presbyopia management, evaluated in this research in a 6 months real-world setting. Prospective interventional mono-centric study including 40 patients who underwent elective bilateral phacoemulsification. We performed one pre-operative visit (V0) and one evaluation six months post-operatively (V1), evaluating uncorrected and corrected visual acuity for near (UNVA/CNVA), intermediate (UIVA/CIVA) and far (UDVA/UCVA), slit-lamp evaluation, tomography with static pupillometry, endothelial cell count and contrast sensitivity chart. In order to assess post-operative Quality of Life, we administered the patients McAlinden's Quality of Vision test and Morlock's Patient-Reported Spectacle Independence Questionnaire. We divided eyes in with Toric-IOL and with non-Toric IOL. A total of 36 eyes received non-tonic IOL implantation, whereas 44 eyes received toric IOL implantation. There were no statistically significant disparities observed in visual outcome measures and contrast sensitivity between the toric group and the non-toric group. Furthermore, we assessed the predictive preoperative refractive astigmatism (PPRA) and residual refractive astigmatism (RRA) in both cohorts, and no statistical significance was found between the two cohorts (p = 0.08). Twenty-one (53%) patients reported total independence from their glasses at all distances. The mean difference between the predicted and measured refractive error, as calculated by spherical equivalent, was 0.09 D. AcrySof IQ Vivity is a well-tolerated and effective IOL with optimal refractive target for both distant and intermediate vision, needing slight spherical addition for the best near vision. Great questionnaire-based satisfaction was reported by the patients. [ABSTRACT FROM AUTHOR]

Summary Obesity is a major public health concern associated with a higher risk of various comorbidities. Some studies have explored the impact of obesity on cognitive function and, conversely, how lower intelligence might increase the risk of later obesity. The aim of this study is to analyze a complex relationship between body mass index (BMI) and intelligence quotient (IQ), employing a comprehensive approach, including a systematic review, meta‐analysis, and Mendelian randomization (MR). We extracted the data from Medline and Embase to identify relevant studies published since June 22, 2009. MR analysis relied on genetic databases such as the Genome‐Wide Association Study (GWAS) and the Genetic Investigation of Anthropometric Traits (GIANT) to explore potential causal relationships. The systematic review and meta‐analysis encompassed 34 and 17 studies, respectively. They revealed a substantial correlation between obesity and reduced IQ, particularly notable among school‐age children (mean difference −5.26; 95% CI: −7.44 to −3.09). Notably, within the IQ subgroup, verbal IQ also exhibited a significant association with a mean difference of −7.73 (95% CI: −14.70 to −0.77) in school‐age children. In contrast, the MR did not unveil a significant causal relationship between BMI and IQ, both in childhood and adulthood. This comprehensive analysis underscores a significant correlation between BMI and IQ, particularly in school‐age children. However, the MR analysis implies a potentially weaker causal relationship. Future large‐scale cohort studies should address potential confounding factors to provide further insights into the BMI‐IQ relationship. [ABSTRACT FROM AUTHOR]

This study develops an intelligent optimization method of the facility environment (i.e., road facilities and surrounding landscapes) from drivers' visual perception to adjust operation speeds on rural roads. Different from previous methods that heavily rely on expert experience and are time‐consuming, this method can rapidly generate optimized visual images of the facility environment and promptly verify the optimization effects. In this study, a visual road schema model is established to quantify the facility environment from drivers' visual perception, and an automated optimization scheme determination approach considering the original facility environment characteristics is proposed using self‐explaining theory. Then, Cycle‐consistent generative adversarial network is used to automatically generate optimized facility environment images. To verify the optimization effect, operation speeds of the optimized facility environments are predicted using random forest. The case study shows that this method can effectively optimize the facility environment where original operation speeds are more than 20% over the speed limits, and the whole process only takes 1 h far less than several months or years in previous ways. Overall, this study advances the intelligence level in optimizing the facility environment and enhances rural road safety. [ABSTRACT FROM AUTHOR]

The comprehension of connectives is crucial for understanding the discourse relations that make up a text. We studied connective comprehension in English to investigate whether adult comprehenders acquire the meaning and intended use of connectives to a similar extent and how connective features and individual differences impact connective comprehension. A coherence judgment study indicated that differences in how well people comprehend connectives depend on the lexical transparency but not on the frequency of the connective. Furthermore, individual variation between participants can be explained by their vocabulary size, nonverbal IQ, and cognitive reasoning style. Print exposure was not found to be relevant. These findings provide further insight into the factors that influence discourse processing and highlight the need to consider individual differences in discourse comprehension research as well as the need to examine a wider range of connectives in empirical studies of discourse markers. [ABSTRACT FROM AUTHOR]

Psychometricians have argued that measurement invariance (MI) testing is needed to know if the same psychological constructs are measured in different groups. Data from five experiments allowed that position to be tested. In the first, participants answered questionnaires on belief in free will and either the meaning of life or the meaning of a nonsense concept called "gavagai." Since the meaning of life and the meaning of gavagai conceptually differ, MI should have been violated when groups were treated like their measurements were identical. MI was severely violated, indicating the questionnaires were interpreted differently. In the second and third experiments, participants were randomized to watch treatment videos explaining figural matrices rules or task-irrelevant control videos. Participants then took intelligence and figural matrices tests. The intervention worked and the experimental group had an additional influence on figural matrix performance in the form of knowing matrix rules, so their performance on the matrices tests violated MI and was anomalously high for their intelligence levels. In both experiments, MI was severely violated. In the fourth and fifth experiments, individuals were exposed to growth mindset interventions that a twin study revealed changed the amount of genetic variance in the target mindset measure without affecting other variables. When comparing treatment and control groups, MI was attainable before but not after treatment. Moreover, the control group showed longitudinal invariance, but the same was untrue for the treatment group. MI testing is likely able to show if the same things are measured in different groups. [ABSTRACT FROM AUTHOR]

Purpose: Children with surgically corrected nonsyndromic craniosynostosis have been previously found to have neurocognitive and behavioral difficulties. Children with metopic synostosis have been described to have more difficulties than children with sagittal synostosis. This study aims to characterize the behavioral differences between children with metopic and sagittal synostosis. Methods: Children with metopic and sagittal synostosis were recruited at school age. Parents completed four separated behavioral assessments: Conners-3 (evaluation of ADHD), Social Responsiveness Scale-2 (SRS-2: evaluation of autism), Behavior Rating Inventory of Executive Function-2 (BRIEF-2: evaluation of executive function), and Child Behavior Checklist (CBCL: evaluation of overall behavioral problems). Children underwent intelligence quotient (IQ) testing using the Wechsler Abbreviated Scale of Intelligence (WASI-II). Results: There were 91 children (45 with metopic and 46 with sagittal synostosis). More children with metopic synostosis reported requiring supportive services (57.7% vs 34.7%, p = 0.02) and more reached or exceeded borderline clinical levels of two executive function subscales of the BRIEF-2 (emotion regulation index: 33.3% vs 17.4%, p = 0.05; global executive composite: 33.3% vs 17.4%, p = 0.05). Children with sagittal synostosis had higher scores on the rule-breaking and externalizing problem subscales of the CBCL. Increasing age at surgery was associated with worse executive function scores. Conclusions: A relationship between suture subtype and behavioral outcomes exists at school age. More children with metopic synostosis required social services indicating more overall difficulties. Children with metopic synostosis have more specific problems with executive function, while children with sagittal synostosis had more difficulties with externalizing behaviors. [ABSTRACT FROM AUTHOR]

Aim: To identify neurodevelopmental disorders in children with obesity, and investigate associations to cognitive functions as well as parents' self‐reported neurodevelopmental problems. Methods: Eighty children were included at two outpatient obesity clinics in Sweden 2018–2019. Of these, 50 children without previously diagnosed neurodevelopmental disorders were screened, and so were their parents. Children who screened positive for neurodevelopmental problems were referred to a specialised psychiatry unit for further diagnosis. Test results of cognitive functioning were compared with the norm and between study groups by neurodevelopmental diagnoses. Results: Of the screened families, 17/50 children were diagnosed by the psychiatric unit with attention deficit–hyperactivity disorder (ADHD) and 15/82 parents screened positive for neurodevelopmental problems. Having a mother who screened positive for neurodevelopmental problems was associated with child ADHD (p < 0.05). The children's full‐scale intelligence quotient (92.86 ± 12.01, p < 0.001) and working memory index (90.62 ± 12.17, p < 0.001) were lower than the norm. Working memory index was lower in children with ADHD compared to without ADHD: 84.76 ± 9.58 versus 94.09 ± 12.29 (p ≤ 0.01). Executive constraints were associated with verbal deviances. Conclusion: Increased awareness is needed about the overlap between neurodevelopmental problems and obesity in obesity clinics. [ABSTRACT FROM AUTHOR]

Landslide susceptibility mapping (LSM) with machine learning (ML) models highly depends on the number and accuracy of landslides (positive samples) and non-landslides (negative samples). However, there is no existing standard method for selecting non-landslides, leading to the accuracy of negative samples being challenging to guarantee in previous studies, which leads to the loss of accuracy and reliability of the LSM model. To solve this problem, an information quantity and machine learning integrated model (IQ-ML) is proposed in this paper. The information quantity (IQ) model was introduced to preliminarily determine areas of low and very low landslide susceptibility applicable to non-landslides selection. Then, ML is used to accomplish LSM, with the support of randomly selected non-landslides. For validation purposes, the Jiuzhaigou area was selected as a case study area, three IQ-ML models (IQ-SVM, IQ-RF, and IQ-BPNN) were constructed successively for LSM and cross-validation, and further comparative analysis was conducted with three ML models (SVM, RF, and BPNN) that based on randomly selected non-landslides outside the landslide buffer zone. Finally, the ROC curve was used to evaluate each model's prediction accuracy objectively. The experimental results show that the IQ-ML model proposed in this paper has higher prediction accuracy than the ML model. The AUC of IQ-SVM, IQ-RF, and IQ-BPNN models are 0.986, 0.993, and 0.991, respectively, which are higher than the SVM, RF, and BPNN models. The above result proves that the accurate non-landslide negative samples selected by the IQ model help to improve the accuracy and reliability of ML-based LSM. [ABSTRACT FROM AUTHOR]

The expansion of intelligence studies into new areas shows that intelligence behaves differently in different environments. Taking Military Intelligence as a context, this article will frame and define Combat Intelligence as a distinct field of activity within that context, with a unique set of behaviours and characteristics. It will also demonstrate that examination of Combat Intelligence through perspectives used to look at state level intelligence – role, oversight, failure, politicisation, and processes – offers up new insights into the production and usePage 3 of 3 of intelligence in a military context that improve our understanding of it as a discrete sphere of activity. [ABSTRACT FROM AUTHOR]

Highly integrated information sharing among people, vehicles, roads, and cloud systems, along with the rapid development of autonomous driving technologies, has spurred the evolution of automobiles from simple "transportation tools" to interconnected "intelligent systems". The intelligent cockpit is a comprehensive application space for various new technologies in intelligent vehicles, encompassing the domains of driving control, riding comfort, and infotainment. It provides drivers and passengers with safety, comfort, and pleasant driving experiences, serving as the gateway for traditional automobile manufacturing to upgrade towards an intelligent automotive industry ecosystem. This is the optimal convergence point for the intelligence, connectivity, electrification, and sharing of automobiles. Currently, the form, functions, and interaction methods of the intelligent cockpit are gradually changing, transitioning from the traditional "human adapts to the vehicle" viewpoint to the "vehicle adapts to human", and evolving towards a future of natural interactive services where "humans and vehicles mutually adapt". This article reviews the definitions, intelligence levels, functional domains, and technical frameworks of intelligent automotive cockpits. Additionally, combining the core mechanisms of human–machine interactions in intelligent cockpits, this article proposes an intelligent-cockpit human–machine interaction process and summarizes the current state of key technologies in intelligent-cockpit human–machine interactions. Lastly, this article analyzes the current challenges faced in the field of intelligent cockpits and forecasts future trends in intelligent cockpit technologies. [ABSTRACT FROM AUTHOR]

The term immersive technology refers to various types of technologies and perspectives that are constantly changing and developing. It can be used for different purposes and domains such as education, healthcare, entertainment, arts, and engineering. This paper aims to compare the effectiveness of immersive technologies used in education, namely mixed reality, generated with Microsoft HoloLens 2, with traditional teaching methods. The experiment involves comparing two groups of students who received different training methods: the first group saw a PowerPoint slide with an image of the human muscular system, while the second group saw a 3D hologram of the human body that showed the same muscle groups as in the PowerPoint (PPT). By integrating the Intelligence Quotient (IQ) levels of the participants as a predictive variable, the study sought to ascertain whether the incorporation of mixed reality technology could significantly influence the learning outcomes and retention capabilities of the learners. This investigation was designed to contribute to the evolving pedagogical landscape by providing empirical evidence on the potential benefits of advanced educational technologies in diverse learning environments. The main finding of this study indicates that while MR has potential, its effectiveness is closely tied to its interactivity. In cases where the content remains static and non-interactive, MR does not significantly enhance in-formation retention compared to traditional PPT methods. Additionally, the study highlights that instructional strategies should be adapted to individual cognitive profiles, as the technology type (MR or PPT) alone does not significantly impact learning outcomes when the information presented is identical. [ABSTRACT FROM AUTHOR]

The co-occurrence Oppositional Defiant Disorder (ODD) in children and adolescents with Attention Deficit Hyperactivity Disorder (ADHD) has been associated to difficulties in regulating adverse states, elevated functional impairment, deficits in Executive Functions and high risk for psychopathology. Recent studies have shown that ODD is a negative predictor of a positive response to methylphenidate (MPH) treatment for ADHD symptoms in children and adolescents and that patients with a diagnosis of comorbid ADHD and ODD are less likely to respond favorably to pharmacological treatment with MPH. We conducted a naturalistic study to understand the clinical characteristics of drug-naïve children and adolescents with ADHD that influence the response to MPH by measuring the effect on attention. Specifically, we investigated whether a single dose of MPH differently affects the performance of 53 children and adolescents with ADHD with or without ODD comorbidity. In addition, participant characteristics such as symptom severity, functional impairment, and associated behavioral and emotional symptoms at baseline were examined to better understand what aspects affect the response to MPH. We found that a single dose of MPH improved the attention of children and adolescents with ADHD without ODD more than those with comorbid ADHD and ODD, resulting in reduced reaction times. Our findings indicated that children and adolescents with comorbid ADHD and ODD and those with ADHD alone did not exhibit differences in measures of attention prior to taking MPH, nor in demographic variables (age, intelligence quotient, gender), clinical characteristics related to symptom severity, and adaptive behaviors. However, we observed differences between the two groups in certain behavioral aspects, including the Dysregulation Profile and disruptive behaviors. Assessing symptoms in combination with the presence of ADHD can be beneficial in determining which individuals would derive the greatest benefits from treatment. [ABSTRACT FROM AUTHOR]

In order to shorten detection times and improve average precision in embedded devices, a lightweight and high-accuracy model is proposed to detect passion fruit in complex environments (e.g., with backlighting, occlusion, overlap, sun, cloud, or rain). First, replacing the backbone network of YOLOv5 with a lightweight GhostNet model reduces the number of parameters and computational complexity while improving the detection speed. Second, a new feature branch is added to the backbone network and the feature fusion layer in the neck network is reconstructed to effectively combine the lower- and higher-level features, which improves the accuracy of the model while maintaining its lightweight nature. Finally, a knowledge distillation method is used to transfer knowledge from the more capable teacher model to the less capable student model, significantly improving the detection accuracy. The improved model is denoted as G-YOLO-NK. The average accuracy of the G-YOLO-NK network is 96.00%, which is 1.00% higher than that of the original YOLOv5s model. Furthermore, the model size is 7.14 MB, half that of the original model, and its real-time detection frame rate is 11.25 FPS when implemented on the Jetson Nano. The proposed model is found to outperform state-of-the-art models in terms of average precision and detection performance. The present work provides an effective model for real-time detection of passion fruit in complex orchard scenes, offering valuable technical support for the development of orchard picking robots and greatly improving the intelligence level of orchards. [ABSTRACT FROM AUTHOR]

Ground-based astronomy is unavoidably subject to the adverse effect of atmospheric turbulence, a.k.a. the seeing, which blurs the images and limits the achievable spatial resolution. For spectroscopic observations, it leads to slit or fibre-injection losses, since not all photons distributed over the extended seeing disc can be captured. These losses might have a very substantial impact on the overall efficiency of a spectrograph and are naturally highly variable. Assessing the fibre-injection losses requires accurate information about the image quality (IQ) delivered by the telescope to the instrument over the course of the observations, which, however, is often not directly available. ESPRESSO provides acquisition and field-stabilization images attached to the science data and thus offers the opportunity for a post-processing analysis. Here, we present a novel method to infer the IQ profile and fibre-injection losses from the integrated field-stabilization images, utilizing the spill-over light that does not get injected into the fibre. We validate these measurements against the IQ observed in the acquisition images and determine that our method delivers unbiased estimates with a scatter of 0.11 arcsec for the FWHM of the profile and |$15~{{\ \rm per\ cent}}$| in terms of fibre-injection losses. This compares favourably to the estimates derived from either the differential image motion monitor or the telescope guide probe sensors and therefore represents a valuable tool to characterize the instrument efficiency and to correct raw spectra for fibre-injection losses. [ABSTRACT FROM AUTHOR]

Objectives: Risperidone is commonly prescribed off-label in children and adolescents to manage disruptive behavior. This study aimed to investigate continued benefits of risperidone after at least 1 year of treatment and effects of discontinuation on physical health. Methods: Thirty-five youths (aged 6–18 years, intelligence quotient [IQ] >70) who were treated with risperidone for at least 1 year in regular clinical practice receiving outpatient care were randomly assigned to double-blind continuation of risperidone during 16 weeks or continuation for 2 weeks, gradual dose lowering over 6 weeks, and placebo for 8 weeks. Primary outcome was the total Disruptive Behavior (D-total) score of the parent-reported Nisonger Child Behavior Rating Form—Typical IQ (NCBRF-TIQ). Secondary outcome measures were the clinician-rated Clinical Global Impressions—Improvement scale (CGI-I), the parent, child, and teacher-rated Strengths and Difficulties Questionnaire (SDQ), the parent-rated Retrospective Modified Overt Aggression Scale (R-MOAS), and several health parameters (Udvalg for Kliniske Undersøgelser Side Effect Rating Scale [UKU-SERS], dyskinesia, akathisia, parkinsonism, body mass index (BMI), waist circumference, and laboratory outcomes). Mixed models for repeated measures were conducted for continuous outcomes and a chi-square test for the CGI-I. Results: Discontinuation of risperidone, as compared with continuation, was not associated with significant changes in parent-reported disruptive behaviors. However, discontinuation was related to significant deterioration in parent-rated verbal aggression, teacher-rated behavioral functioning, clinician-rated general functioning, and significant improvements in weight, BMI, waist circumference, and glucose, insulin, and prolactin levels. Although 56% of participants in the discontinuation group experienced relapse, causing premature withdrawal from the study, 44% was able to successfully discontinue risperidone. Conclusion: Discontinuation of risperidone was associated with deterioration on some, but not all behavioral measures according to this explorative study. Discontinuation was associated with important health gains. Despite long-term benefits of risperidone, attempts to withdraw risperidone should be undertaken in individual children. This is a crucial step in preventing harm and fostering health. [ABSTRACT FROM AUTHOR]

In this study, the potential role and interaction of the APOε and KLOTHO genes on the penetrance of fragile X-associated tremor/ataxia syndrome (FXTAS) and on the IQ trajectory were investigated. FXTAS was diagnosed based on molecular, clinical and radiological criteria. Males with the premutation (PM) over 50 years, 165 with and 34 without an FXTAS diagnosis, were included in this study and were compared based on their APO (ε2-ε3-ε4) and KLOTHO variant (KL-VS) genotypes. The effect of APOε4 on FXTAS stage and on diagnosis did not differ significantly by KL-VS genotype with interaction effect p = 0.662 and p = 0.91, respectively. In the FXTAS individuals with an APOε2 allele, a marginal significance was observed towards a larger decline in verbal IQ (VIQ) in individuals with an APOε4 allele compared to those without an APOε4 allele (p = 0.071). In conclusion, our findings suggest that the APOε4 and KL-VS genotypes alone or through their interaction effect do not appear to predispose to either FXTAS diagnosis or stage in male carriers of the PM allele. A further study is needed to establish the trend of IQ decline in the FXTAS individuals who carry APOε4 with APOε2 compared to those without APOε4. [ABSTRACT FROM AUTHOR]

Background Longevity, a hallmark of successful aging, is a multifactorial trait with influences from birth onwards. However, limited evidence exists on the pathways linking diverse life-course exposures to longevity, especially within a single cohort. Methods We investigated associations between life-course factors and longevity among community-dwelling adults aged 79 (N = 547) from the Lothian Birth Cohort 1921 with a mortality follow-up of 24 years. Cox proportional hazards and structural equation (path) models were used to explore how factors from early life (social class, childhood intelligence quotient [IQ], education), midlife (social class), and later life (health, lifestyle, psychosocial well-being), as well as sex, personality, and apolipoprotein E e4 status, influence survival time in days. Results During follow-up (1999–2023), 538 participants (98%) died (mean age of death = 89.3 years) and 9 survived (mean age = 101.6 years). Factors associated with lower mortality risk in the multivariable Cox model were higher cognitive function (hazard ratio [HR] = 0.72; 95% confidence interval [CI]: 0.59–0.88), better physical function (HR = 0.61; 95% CI: 0.44–0.85), and greater physical activity (HR = 0.81; 95% CI: 0.71–0.92), while history of cancer was associated with higher mortality risk (HR = 1.84; 95% CI: 1.22–2.77). The life-course path model identified the same direct predictors, with additional contributions from female sex and nonsmoking status, to greater longevity. Early- and midlife factors (IQ, education, social class), and emotional stability, conscientiousness, and female sex, were indirectly and positively associated with survival trajectories via multiple dimensions of adult health. Conclusions In understanding why people live to very old ages it is necessary to consider factors from throughout the life course, and to include demographic, psychosocial, and health variables. [ABSTRACT FROM AUTHOR]

This study examines if the learning agility quotient (LAQ) is an important determinant for the work readiness of graduating accounting students in the Fourth Industrial Revolution (IR4.0) environment. Using a questionnaire survey involving 275 respondents, we find that those with higher intelligence quotient (IQ) and emotional quotient (EQ) have higher LAQ. We also find that LAQ mediates the positive impact of IQ and EQ on their work readiness. Our findings implicate accounting education as they highlight the significant role of LAQ in relation to IQ, EQ, and work readiness. Further research is needed to determine if educational and work environment factors can effectively support and enhance learning agility. [ABSTRACT FROM AUTHOR]

This study empirically and comprehensively explores consumers' ethical perceptions of autonomous service robots (ASRs) in hotels. Under the triangulation approach, this study has identified eight themes of consumer perceived ethical issues (privacy, security, safety, transparency, fairness, socialization, autonomy, and responsibility). Each theme can be explained from two dimensions: ethical issues arise during the interaction (i.e., ubiquitous surveillance, excessive data, unidentified risks, service disclosure, inaccessibility, dehumanization, selection of services, and service recovery), and ethical issues can be raised by the characteristics of ASRs (i.e., privacy infringement, malicious use, malfunctions, untrustworthiness, biased features, job replacement, inflexibility, and self-identified solutions). This study is the first to propose ethical issues of ASRs from two dimensions with different intelligence levels, and to highlight ethical issues during hotel service interactions. The findings contribute to ethics studies of service robots from consumers' perspectives and offer managerial insights to reduce ethical concerns and enhance ASRs usage in hotels. [ABSTRACT FROM AUTHOR]

In May 2022, there is an International Regulatory and Pharmaceutical Industry (Innovation and Quality [IQ] Microphysiological Systems [MPS] Affiliate) Workshop on the standardization of complex in vitro models (CIVMs) in drug development. This manuscript summarizes the discussions and conclusions of this joint workshop organized and executed by the IQ MPS Affiliate and the United States Food and Drug Administration (FDA). A key objective of the workshop is to facilitate discussions around opportunities and/or needs for standardization of MPS and chart potential pathways to increase model utilization in the context of regulatory decision making. Participation in the workshop included 200 attendees from the FDA, IQ MPS Affiliate, and 26 global regulatory organizations and affiliated parties representing Europe, Japan, and Canada. It is agreed that understanding global perspectives regarding the readiness of CIVM/MPS models for regulatory decision making and potential pathways to gaining acceptance is useful to align on globally. The obstacles are currently too great to develop standards for every context of use (COU). Instead, it is suggested that a more tractable approach may be to think of broadly applicable standards that can be applied regardless of COU and/or organ system. Considerations and next steps for this effort are described. [ABSTRACT FROM AUTHOR]

This study introduces the design of a nonlinear frequency-modulated continuous wave (FMCW) laser ranging system. In contrast to the commonly used triangular wave linear modulation, this study utilizes sinusoidal wave modulation. The frequency information of the original sinusoidal frequency-modulated signal is extracted using an on-chip interferometer based on SiON waveguides and IQ demodulation technology. After fitting the measured interference signal at equal frequency intervals, the corresponding distance information is derived using the fast Fourier transform (FFT). The principles underlying this method are thoroughly analyzed and derived, with its accuracy confirmed through experimental validation. [ABSTRACT FROM AUTHOR]

This paper introduces a novel approach to assessing structural safety, specifically aimed at evaluating the safety of existing structures. Firstly, a point cloud model of the existing commercial complex was captured utilizing three-dimensional (3D) laser scanning technology. Subsequently, an intelligent method for identifying holes within the point cloud model was proposed, built upon a YOLO v5-based framework, to ascertain the dimensions and locations of holes within the commercial complex. Secondly, Poisson surface reconstruction, coupled with partially self-developed algorithms, was employed to reconstruct the surface of the structure, facilitating the three-dimensional geometric reconstruction of the commercial complex. Lastly, a finite element model of the framed structure with holes was established using the reconstructed 3D model, and a safety analysis was conducted. The research findings reveal that the YOLO v5-based intelligent hole identification method significantly enhances the level of intelligence in point cloud data processing, reducing manual intervention time and boosting operational efficiency. Furthermore, through Poisson surface reconstruction and the self-developed algorithms, we have successfully achieved automated surface reconstruction, where the resulting geometric model accurately reflects the dimensional information of the commercial complex. Additionally, the maximum uniformly distributed surface load that the floor slabs within the framed structure with holes can withstand should not exceed 17.7 kN/m2, and its vertical deformation resistance stiffness is approximately 71.6% of that of a frame without holes. [ABSTRACT FROM AUTHOR]

Under the background of intelligent construction of coal mines, gas extraction design is still based on manual design, which is complex, time–consuming, and error–prone, and its automation degree needs to be improved. In order to solve this problem, taking the 1302 working face of a mine in Shanxi Province as the research object, this paper carried out relevant research. Firstly, the influencing factors of gas extraction were determined, and the influence rules of different parameters on the extraction effect were studied by numerical simulation. Secondly, an intelligent optimization method of gas extraction drilling parameters based on deep mining called the PSO–LSTM model, is proposed. This model uses the PSO algorithm to optimize the parameters of the LSTM model, so as to improve the accuracy of the LSTM model results. Finally, a quantitative expression algorithm of 3D spatial information of gas extraction drilling holes based on Python is proposed, which can automatically generate 3D spatial models of bedding or through gas extraction drilling holes using optimized drilling parameters and known 3D information of coal seams. This study shows that the results obtained using the PSO–LSTM model are the same as the drilling parameters obtained using numerical simulation, which verifies the accuracy of the PSO–LSTM model. According to the optimized drilling parameters, a 3D model of gas extraction drilling is quickly generated, which greatly reduces the tedious work of drawing construction drawings for coal mine enterprises and improves the intelligence level of coal gas extraction drilling. [ABSTRACT FROM AUTHOR]

With the widespread use of machine learning (ML) technology, the operational efficiency and responsiveness of power grids have been significantly enhanced, allowing smart grids to achieve high levels of automation and intelligence. However, tree ensemble models commonly used in smart grids are vulnerable to adversarial attacks, making it urgent to enhance their robustness. To address this, we propose a robustness enhancement method that incorporates physical constraints into the node-splitting decisions of tree ensembles. Our algorithm improves robustness by developing a dataset of adversarial examples that comply with physical laws, ensuring training data accurately reflects possible attack scenarios while adhering to physical rules. In our experiments, the proposed method increased robustness against adversarial attacks by 100% when applied to real grid data under physical constraints. These results highlight the advantages of our method in maintaining efficient and secure operation of smart grids under adversarial conditions. [ABSTRACT FROM AUTHOR]

Smart city construction is an essential practice in the effort to promote the digital transformation of society as a whole. Taking China's 'National Smart City' pilot project as a quasi‐natural experiment, this paper studies the income distribution effect of smart city construction by building a differences‐in‐differences model and using the data of China's prefecture‐level cities from 2008 to 2018. The results show that implementing China's 'National Smart City' pilot project has significantly reduced regional income inequality. However, this effect has heterogeneity. In regions with a higher level of economic development, human capital accumulation and R&D investment, the impact of smart city construction on reducing income inequality is stronger. In areas with a higher level of human capital accumulation, smart city construction can reduce income inequality. However, this effect is insignificant in areas with a lower level of human capital accumulation. Mechanisms tests show that smart city construction can reduce regional income inequality by creating more jobs, narrowing the digital divide and improving public service delivery. As stated above, this paper implies that accelerating the construction of smart cities and improving the digital and intelligence levels of the wider society is of great significance to reducing income inequality and building a more reasonable income distribution structure. [ABSTRACT FROM AUTHOR]

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As the main disease of railway tunnels, void disease affects the safe operation of railways. The traditional detection technology recognition void relies on the intuitive characteristics of the signal, there are still problems such as poor void edge recognition capability and low intelligence level. To solve this problem, this study used Comsol software to establish a sound-solid coupling finite element model of the tunnel, extracted the acoustic signals of voids under various conditions, analysed the acoustic signal characteristics under different conditions and proposed the acoustic sensitive frequency band of tunnel lining void. The test model of Partial tunnel lining is established by the method of layering pouring. The wavelet packet algorithm is improved by the maximum cross correlation coefficient, the optimal wavelet basis decomposition algorithm is proposed. The layer number of the wavelet packet decomposition (WPD) algorithm was calculated based on the sensitive frequency band and the energy distribution of the sub-signal is obtained. Then, the energy distribution of the sensitive frequency band is used to estimate the void boundary. The experimental results show that the acoustic frequency band of the tunnel void mainly distributes in the range of 0–10,000 Hz and the sensitive frequency band of the void concentrated around 0–3000 Hz. According to the sampling frequency and the sensitive frequency band of the void, the sub-signal energy distribution of each layer is obtained. The energy distribution of sub-signal 1 has strong void boundary recognition ability. The research results will be beneficial to the damage detection and state assessment of tunnel lining. [ABSTRACT FROM AUTHOR]

The General Ability Measure for Adults (GAMA) is a brief nonverbal assessment of general intellectual ability. Presently, there is a lack of research involving the use of the GAMA in a high-functioning population. Aviation pilots (n = 59) were referred for a neuropsychological evaluation and were concluded to be cognitively intact. They were administered a battery that included the GAMA and Wechsler Adult Intelligence Scale – 4th edition (WAIS-IV). A paired samples t-test revealed that IQ scores on the GAMA were significantly lower than IQ scores on the WAIS-IV, with WAIS-IV IQ being 7.54 points higher on average. Fisher's exact test determined there was significant disagreement in score classification between the tests, with individuals classified as Above Average on the WAIS-IV often being classified as Average on the GAMA. The GAMA appears to significantly underrepresent true IQ in both score and classification when compared to a more robust measure of intellectual assessment. Clinically, this suggests that IQ screeners, such as the GAMA, may not be appropriate for assessing patients who are suspected to be of higher premorbid functioning. Future research should expand on these results to assess the validity of verbal-based IQ screening measures in high-functioning populations. [ABSTRACT FROM AUTHOR]

Synthetic aperture radar (SAR) is a powerful tool in remote sensing applications that can produce high-resolution images and operate in any weather condition. It is composed of many RF components, such as the IQ mixer, which mixes the base chirp signal (IF) with the carrier signal (LO) and increases the bandwidth of the transmitted signal to twice the maximum frequency of the base chirp signal, reducing the workload of Programmable Field Gate Arrays (FPGA) and increasing the resolution of the SAR system. This research proposes a power combiner–splitter design that will be used as a supporting component to construct the IQ mixer in SAR applications based on a rat-race coupler. The measurement results show that the coupler has good S-parameter values.  S 11 ,  S 22 , and  S 33  have a low reflection value below −17 dB,  S 13  has a high isolation value below −22 dB, and  S 21  and  S 31  have a low attenuation value below −4 dB with amplitude unbalance below 0.1 dB and phase unbalance below 1 ° . The 150 MHz requirement bandwidth for the RF signal is also achieved. [ABSTRACT FROM AUTHOR]

Ataxia telangiectasia (AT) is a genetic multisystemic disorder affecting the nervous system. Data on neurocognitive functioning in AT are limited and focused on patients at various stages of disease. Because of the genetic nature of the disorder, parents of patients may also display subtle neurological problems. This study aimed to evaluate neurocognitive functioning in patients with AT and their unaffected parents. The study included 26 patients with AT and 41 parents among which 13 patients and 18 parents were evaluated with neurocognitive tests. Clinical and radiological data were reviewed retrospectively. Data were analyzed with descriptive statistics. The median ages of patients and parents were 12.5 years (interquartile range [IQR] = 9.5) and 38.0 years (IQR = 12.0), respectively. Median intelligence quotients were 62.0 (IQR = 21.3) and 82.5 (IQR = 16.8), respectively, for patients and parents. Rates of intellectual disability for patients and parents were 100.0% and 83.3%, respectively. Areas of impairment in patients in decreasing order of frequency were motor skills, visual perception/memory, visual-manual coordination, spontaneous/focused and sustained attention (100.0% for each), social judgment, as well as vocabulary and arithmetic skills (75.0% for each). Areas of impairment in unaffected parents in decreasing order of frequency were visual-manual coordination (77.8%), working memory (76.5%), and visual perception and motor skills (66.7% for each). Intellectual disabilities, visual-spatial disabilities, and reduced visual-motor coordination seem to be similar in patients with AT and their parents. These results should be replicated with larger samples from multiple centers and may form putative cognitive endophenotypes for the disorder. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the effect of application of kangaroo-style intervention mode on neonatal cerebral palsy treated with mouse nerve growth factor. Methods: In this retrospective study, 153 newborns with cerebral palsy on admission to Wuhan Maternal and Child Healthcare Hospital, China between January 2016 and January 2020 were assigned to control group (n = 81) and study group (n = 72), based on differences in intervention schemes used. The control and study groups received mouse nerve growth factor and routine intervention, while study group received additional treatment with kangaroo-style intervention mode. After treatment, neonatal neurological function, intellectual development, intelligence development quotient, and growth and development indices were compared between the two groups. Results: Scores on neurological function, mental development index and psychomotor development index, as well as intelligence development quotient were significantly higher in the study group than in the control group (p < 0.05). There were no significant differences in growth and development indices between the two groups (p > 0.05). Conclusion: Kangaroo-style intervention mode effectively improves neurological function, and promotes intellectual development in cerebral palsy newborns treated with mouse nerve growth factor. However, it had no significant effect on neonatal physical development. [ABSTRACT FROM AUTHOR]

Students' ability to communicate, especially in learning mathematics, is still relatively low. Communication skills, especially in solving story problems, are more or less influenced by the intelligence of each student, one of which is verbal linguistic intelligence. This research is a qualitative research with a phenomenological approach. The subjects in this study were grade XI students at Bina Dharma 2 Bandung High School in the 2022/2023 school year totaling 22 students. The sampling technique used Purposefully select. The results showed that students with high linguistic verbal intelligence level were able to answer 5 indicators of mathematical communication ability, students with medium linguistic verbal intelligence level were able to answer 3 indicators of mathematical communication ability, and students with low linguistic verbal intelligence level were able to answer 1-2 indicators of mathematical communication ability. [ABSTRACT FROM AUTHOR]

While the objective level of intelligence is not associated with narcissism, relations to self-assessed intelligence (SAI) have been repeatedly reported. Existing research suggests that different facets of narcissism may have different associations with SAI. In the current daily diary study (N = 176; N = 3975 total observations), we employed dynamic structural equation modeling to examine the relationships between facets of trait and state narcissism (i.e., agentic, antagonistic, and neurotic) and the level, variability, and instability of SAI assessed over 28 consecutive days. Both trait and state narcissism were consistently related to SAI: agentic narcissism showed a positive relationship, whereas antagonistic and neurotic narcissism showed negative relationships with SAI. Trait agentic and state antagonistic narcissism predicted greater variability of SAI scores throughout the study, while neither trait nor state narcissism predicted the instability of SAI. Finally, we found that experiencing increased agentic narcissism on one day, predicted perceiving oneself as more intelligent on the next day, but feeling smarter did not predict feeling narcissistic over time. Moreover, we demonstrated that differentiating between narcissism facets yielded more theoretically accurate results compared to distinguishing between grandiose and vulnerable narcissism. [ABSTRACT FROM AUTHOR]

A large number of interconnected smart devices or objects interact with the physical environment known as the Internet of Things (IoT). These networks efficiently perform complex tasks with a high level of intelligence without human intervention and require run-time processing and computation. Edge computing is introduced where devices are placed at the edge between the data source and the cloud. These devices can provide more powerful computational and storage capabilities to IoT users. With various benefits, one of the significant requirements is secure and trustworthy data communication. Various trust management schemes are introduced to guarantee the trustworthiness and isolation of the malicious nodes and give preference to the most trustworthy ones. The existing schemes selected trustworthy nodes again and again from the path without considering the load factor which leads them to be more vulnerable for the Denial of Services (DoS) attacks. In this paper, we propose a Link-based Penalized Trust Management scheme to provide trust management and consider load factors for the selection of most trustworthy nodes and provide a preemptive measure to secure the network from DoS attacks based on its link's association. Simulation results indicate the better performance of the proposed scheme as compared with existing schemes. [ABSTRACT FROM AUTHOR]

Down syndrome is a lifelong cognitive impairment characterized by lower mental skills and intelligence quotient (IQ) compared to their typical peers. The profile is not curable. However, research has been conducted to supplement and improve cognitive functioning through computing and software applications. Conventional cognitive applications and IQ scales pose significant challenges as they are not developed based on specific cognitive guidelines. Therefore, such methods often fail to accurately assess cognitive profiling, resulting in uncertainty. To overcome these challenges, Interactive Mental Learning Activity Software utilizes tailored guidelines incorporating fuzzy logic rules, ensuring accurate cognitive profiling for Down syndrome. Fuzziness was applied within the machine learning framework across three groups structured based on IQ levels. A total of N=200 individuals with Down syndrome participated in the IQ assessment. The findings revealed that individuals with mild impairment demonstrated a higher degree of improvement in cognitive abilities compared to moderate and severe levels. However, the severe category appears to have an unrealistic probability, leading to a standstill in progress. The implementation of the specific guided system led to improvements of 6%, 5%, and 5% in individuals with mild, moderate, and severe cases, respectively. [ABSTRACT FROM AUTHOR]

This study was carried out to compare the concurrent validity of the Kaufman Brief Intelligence Test – Second Edition (KBIT-2) with that of two Wechsler Intelligence Scales (Wechsler Intelligence Scale for Children – Fifth Edition (WISC-V) and the Wechsler Preschool and Primary Scale of Intelligence – Fourth Edition (WPPSI-IV)) in an Asian setting. A retrospective study reviewed the medical records of 101 children with developmental disorders who were being followed up at a tertiary child development unit. Pearson product moment correlation coefficients were calculated between the KBIT-2 and Wechsler assessment scores. Simple regression analysis was used to calculate standard errors of estimation to assess the accuracy of predicting Wechsler scores using KBIT-2 scores. A strong positive correlation was observed between KBIT-2's Intelligence Quotient (IQ) Composite and WISC-V's Full-Scale IQ (FSIQ) scores (r = 0.722, p < 0.01). KBIT-2 IQ composite scores showed a moderately strong positive correlation with WPPSI-IV FSIQ scores (r = 0.648, p < 0.01). Simple regression analysis showed that KBIT-2 scores tended to underestimate or overestimate the Wechsler scores, with the highest variability seen in KBIT-2's Non-Verbal IQ and Wechsler's Fluid Reasoning Index scores (error limits: -53.1 to 39.7). Our study demonstrates that KBIT-2 has good concurrent validity when compared to other IQ tests such as the Wechsler scales, and it suggests that KBIT-2 is a good screening tool for assessing intelligence in a group of children with developmental disabilities. Further studies are needed to determine whether KBIT-2 can be used for the purpose of diagnostic decision-making or special education program placement. [ABSTRACT FROM AUTHOR]

Real estate mass appraisal is increasingly gaining popularity as a critical issue, reflecting its growing importance and widespread adoption in economic spheres. And data-driven machine learning methods have made new contributions to enhancing the accuracy and intelligence level of mass appraisal. This study employs python web scraping technology to collect raw data on second-hand house transactions spanning from January 2015 to June 2023 in China. Through a series of data processing procedures, including feature indicator acquisition, the removal of irrelevant sample cases, feature indicator quantification, the handling of missing and outlier values, and normalization, a dataset suitable for direct use by mass appraisal models is constructed. A dynamic neural network model composed of three cascaded sub-models is designed, and the optimal parameter combination for model training is identified using grid searching. The appraisal results demonstrate the reliability of the dynamic neural network model proposed in this study, which is applicable to real estate mass appraisal. A comparison with the common methods indicates that the proposed model exhibits a superior performance in real estate mass appraisal. [ABSTRACT FROM AUTHOR]

Copyright of Mehmet Akif Ersoy University Journal of Education Faculty is the property of Mehmet Akif Ersoy Universitesi Egitim Fakultesi Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A stereo vision system provides important support for underwater robots to achieve autonomous navigation, obstacle avoidance, and precise operation in complex underwater environments. This article proposes an unsupervised underwater stereo matching method based on semantic attention. By combining deep learning and semantic information, it fills the challenge of insufficient training data, enhances the intelligence level of underwater robots, and promotes the progress of underwater scientific research and marine resource development. This article proposes an underwater unsupervised stereo matching method based on semantic attention, targeting the missing training supervised dataset for underwater stereo matching. An adaptive double quadtree semantic attention model for the initial estimation of semantic disparity is designed, and an unsupervised AWLED semantic loss function is proposed, which is more robust to noise and textureless regions. Through quantitative and qualitative evaluations in the underwater stereo matching dataset, it was found that D1 all decreased by 0.222, EPE decreased by 2.57, 3px error decreased by 1.53, and the runtime decreased by 7 ms. This article obtained advanced results. [ABSTRACT FROM AUTHOR]

In response to challenges such as narrow visibility for ship navigators, limited field of view from a single camera, and complex maritime environments, this study proposes panoramic visual perception-assisted navigation technology. The approach includes introducing a region-of-interest search method based on SSIM and an elliptical weighted fusion method, culminating in the development of the ship panoramic visual stitching algorithm SSIM-EW. Additionally, the YOLOv8s model is improved by increasing the size of the detection head, introducing GhostNet, and replacing the regression loss function with the WIoU loss function, and a perception model yolov8-SGW for sea target detection is proposed. The experimental results demonstrate that the SSIM-EW algorithm achieves the highest PSNR indicator of 25.736, which can effectively reduce the stitching traces and significantly improve the stitching quality of panoramic images. Compared to the baseline model, the YOLOv8-SGW model shows improvements in the P, R, and mAP50 of 1.5%, 4.3%, and 2.3%, respectively, its mAP50 is significantly higher than that of other target detection models, and the detection ability of small targets at sea has been significantly improved. Implementing these algorithms in tugboat operations at ports enhances the fields of view of navigators, allowing for the identification of targets missed by AISs and radar systems, thus ensuring operational safety and advancing the level of vessel intelligence. [ABSTRACT FROM AUTHOR]

This article discusses the impact of the COVID-19 pandemic on the design and conduct of clinical trials. A working group was formed to collect data on the experiences of IQ member companies regarding the pandemic's effects on clinical trials, including missed doses and missing pharmacokinetic/pharmacodynamic data. The survey results showed that the majority of clinical trials were conducted as planned, but some were paused or delayed. The pandemic also led to changes in trial design, such as reduced number of visits and wider sample collection windows. Mitigation strategies, such as remote visits and use of local laboratories, were implemented to minimize the impact of COVID-19 on trials. The article also includes case studies that highlight innovative approaches used during the pandemic, such as virtual matched healthy controls and decentralized trials. Overall, the findings provide valuable insights into the impact of the pandemic on clinical trials and offer potential strategies for future drug development. [Extracted from the article]

Copyright of Retos: Nuevas Perspectivas de Educación Física, Deporte y Recreación is the property of Federacion Espanola de Asociaciones de Docentes de Educacion Fisica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Retos: Nuevas Perspectivas de Educación Física, Deporte y Recreación is the property of Federacion Espanola de Asociaciones de Docentes de Educacion Fisica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Accurate risk assessment and insight into which factors are associated with recidivism are essential for forensic correctional practice. Therefore, we investigated whether the Historical, Clinical, and Future–Revised (HKT-R [ Historisch Klinisch Toekomst–Revised ]) risk assessment instrument could predict violent recidivism over a 2-year follow-up period in forensic psychiatric patients with intelligence quotient (IQ) < 80. We refer to these patients as intellectually disabled (ID) and patients with IQ ≥ 80 as non-ID. Additionally, the associations of the 14 clinical HKT-R factors with ID versus non-ID group membership were investigated, as well as a possible moderating role of adverse childhood experiences (ACE) in these associations. The final sample encompassed 748 forensic psychiatric patients (15.9% were patients with ID) who were unconditionally released from highly secured Dutch forensic psychiatric institutions between 2004 and 2014. The results showed that the HKT-R total score (AUC = 0.705, 95% confidence interval [CI] [0.527, 0.882]) and the clinical domain (AUC = 0.733, 95% CI [0.579, 0.886]) had a large effect size for predictive validity for 2-year violent recidivism, while the future domain (AUC = 0.653, 95% CI [0.524, 0.781]) and the historical domain (AUC = 0.585, 95% CI [0.397, 0.772]) had a medium effect size for predictive validity for 2-year violent recidivism in ID patients. It was also found that lower levels of self-reliance and social skills were associated with ID, indicating that treatment should prioritize these skills. However, ACE was not associated with ID, nor did it moderate the associations of the clinical HKT-R factors with ID. This study contributes to the understanding of both risk assessment and treatment of forensic psychiatric patients with ID. [ABSTRACT FROM AUTHOR]

Copyright of Contaduría y Administración is the property of Facultad de Contaduria y Administracion-Universidad Nacional Autonoma de Mexico and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)