Miracle-dz/UniFAR-FTUs huggingface dataset:
Trends in Bias-Based Bullying from 2015 to 2019 and the Associations Among Bias-Based Bullying, School Avoidance, and Supportive Adults at School

ABSTRACT This study examines the prevalence of bias-based bullying and the associations among bias-based bullying, negative effects, school avoidance, and supportive adults. Frequency analysis and moderated mediation analysis were conducted using a national sample of adolescents aged 12 to 18 in the U.S. from the 2015, 2017, and 2019 National Crime Victimization Survey School Crime Supplement. Among the adolescents who were bullied between 2015 and 2019 (N = 629 in 2015, N = 1,179 in 2017, and N = 1,197 in 2019), 40.3% − 45.0% of them thought that bullying was related to their race, religion, ethnic origin, disability, gender, sexual orientation, or physical appearance. Among the adolescents who were bullied, the most frequently perceived reason was physical appearance (28.1% − 30.8%), followed by race (10.2% − 11.8%). The presence of supportive adults at school significantly moderates the mediational pathway between experiencing multiple forms of bias-based bullying and school avoidance through the negative effects of bullying.
Examining Land Use/Land Cover Change and Potential Causal Factors in the Context of Climate Change in Sagarmatha National Park, Nepal

S IN CONFERENCES • Humagain, K. , & All. J. D. (2012). Measuring land use and land cover change using satellite imagery in Sagarmatha National Park, Nepal. Paper presented at The 42 Annual WKU Student Research Conference, March 24, Western Kentucky University, Kentucky. • Humagain K. , Hutchison, S. T. , All, J. D. , & Gourley, R. D. (2011). Application of remote sensing data to describe spatiotemporal characteristics of fire in Nepal. Poster presented at 66 Annual Meeting of the South East Division of American Association of Geographers (SEDAAG), November 20-22. Savannah, GA. • Humagain, K. & All, J. D. (2011). Land use and land cover change in Sagarmatha National Park (1979-2009). Paper presented at The 97th Annual Meeting of the Kentucky Academy of Science (KAS), November 4-5, Murray State University, Kentucky. • All, J. D. , Miles, L. , Humagain, K. , & Oris, W. (2011). Assessing relative accuracies of ASTER and SRTM DEM datasets in the Himalayan Mountains. The Association of American Geographers Annual Meeting Abstract Volume, April 12-16. Seattle, Washington. • Humagain, K. (2011). Biogeographical trends along elevational gradient in Nepal. Paper presented at The 41st Annual WKU Student Research Conference, March 26, Western Kentucky University, Kentucky. • Humagain, K. (2010). Impact of tourism and climate change in Sagarmatha National Park, Nepal. Paper presented at The 96 Annual Meeting of Kentucky Academy of Science, Western Kentucky University, Kentucky. MISCLLENEOUS PUBLICATIONS • 2007. Photographs (including cover photo) in the Project and Workshop Report: Identification and conservation of important plant areas for medicinal plants in the Himalaya http://www.plantlife. org.uk/uploads/documents/IPAHim_MP_FINAL_REPORT. pdf • 2007. Photograph in Critical Ecosystem Partnership Fund (CEPF) bulletin http://www.cepf. net/Documents/wwfcepf_bulletin3. pdf • 2007. Photographs in WWF web bulletin http://www.wwfnepal. org/media_information/news/? 119340/A-botanists-trails
DSDAN: Dual-Step Domain Adaptation Network Based on Bidirectional Knowledge Distillation for Cross-User Myoelectric Pattern Recognition

Myoelectric control is a typical modality of neural interfaces always driven by pattern recognition of surface electromyogram (sEMG). However, due to great cross-user variability, it suffers from severe performance degradation when it is trained on one set of user data and then tested with new user data. To improve its cross-user usability, a dual-step domain adaptation network (DSDAN) is proposed to fully exploit useful information in the training data (source domain) and efficiently deliver it to the testing data from a new user (target domain). The DSDAN is based on bidirectional knowledge distillation (KD) and uses a teacher–student model to implement the unsupervised domain adaptation (UDA), which allows the classification model to adapt to a new user in the testing phase without any labeled data. A bidirectional KD technique was adopted to facilitate mutual learning between the teacher and student networks to address the problem of balancing adaptation speed and accuracy in the UDA. A novel dual-step domain adaptation (DSDA) strategy was utilized to mitigate knowledge obsolescence and error accumulation problems in KD. We evaluated the performance of the DSDAN framework on both high- and low-density sEMG datasets and achieved 98.96 ± 4.91% and 98.09 ± 1.86% recognition accuracies, respectively, which are better than those of mainstream UDA methods ( ${p}< {0.01}$ ). This study demonstrates the effectiveness and robustness of the DSDAN framework in a cross-user myoelectric control task, which could be applied in gestural interfaces and intelligent robotic control.
STATISTICAL MODELS OF AT-GRADE INTERSECTION ACCIDENTS

The objective of this research was to develop statistical models of the relationship between traffic accidents and highway geometric elements for at-grade intersections. These models also incorporated the effect of traffic control features and traffic volumes on intersection accidents. The data base used to develop the models was obtained from the California Department of Transportation. Field data were also collected for a sample of urban, four-leg, signalized intersections to provide data on additional geometric design variables and turning-movement counts that were not available from existing highway agency files. The statistical modeling approaches used in the research included Poisson, lognormal, negative binomial, and logistic regression, as well as discriminant and cluster analysis. Regression models of the relationships between accidents and intersection geometric design, traffic control, and traffic volume variables were found to explain between 16 and 38% of the variability in the accident data. However, most of that variability was explained by the traffic volume variables considered; geometric design variables accounted for only a very small additional portion of the variability. An evaluation of hard-copy police accident reports by three independent reviewers for a sample of eight urban, four-leg, signalized intersections found that only 5 to 14% of the accidents had causes that appeared to be related to geometric design features of the intersections.
Application of Inverse Mapping for Automated Determination of Normalized Indices Useful for Land Surface Classification

Precise surface classification is essential for glacial health monitoring, where normalized indices have traditionally been used. These indices are created empirically for a specific sensor. The transferability of these indices to other sensors can be affected by differences in spectral and spatial resolution. Thus, it is essential to evaluate the transferability of an index before applying it to a new sensor to ensure accuracy and reliability. However, as the number of satellites, sensors, and observation bands increases, there is a need for automated methods for determining application-specific normalized indices. In this article, we propose using all the bands of multispectral optical sensors to generate multiple normalized indices and determining application-specific indices using inverse mapping. We use these normalized indices for pixel-by-pixel surface classification using neural networks. First, we employ all the bands for generating normalized indices and then eliminate low-spatial-resolution bands to evaluate classification performance by using only high-spatial-resolution indices. We apply this method to a glacial region and observe 81.98% and 84.81% overall accuracy compared to the ground truth data for the two classifications, respectively. We then apply inverse mapping dynamics to the classification results to determine prominent indices useful for glacier classification. The results show that although some of the determined indices are not traditional indices, they are still useful for classification due to the relative differences between various land types. The proposed method has the potential to automate normalized index determination, thereby eliminating the need for empirical band assessment methods and making the index development process more efficient.
Benthic community energy flow: Is there a latitudinal gradient from the Sub-Antarctic Magellan region to Antarctic?

Data processing ! -Our data base consists of 327 quantitative (abundance, biomass) benthic samples (multi-box corer, box corer, VanVeen-grab, quadrat/transects and scuba diving) collected between 1988 and 2011. -Animals were classified into 11 major taxonomic groups. -Original wet mass data were converted to Corg (and energy content) using factors of Brey (2010). # -Annual production for each taxonomic group was estimated by ANN (Artificial Neural Network)model of Brey (2012). Rationale" -Ongoing climate change in southern high latitudes will affect Magellan and Antarctic coastal and shelf ecosystems. -Magellan and Antarctic benthic communities differ in fauna composition, but it remains unclear whether there is a clear latitudinal gradient in biomass and energy flow. Conclusions! In the high Antarctic biomass and production are significantly higher and decrease more rapidly with depth compared to Magellan and Antarctic Peninsula regions. Biomass and production are dominated by different groups in each region: Mollusca in Magellan Region, Annelida in Antarctic Peninsula and Annelida and Porifera in High Antarctic. -Spatial variability is high in all three regions with particular hotspots of production: Canal Whiteside in Magellan Region, Western Antarctic Peninsula Shelf and Kapp Norvegia in High Antarctic.
Coated organic acids with essential oils in Japanese quail’s fed restricted during the 2nd week of age: effects on performance, carcase traits, blood profile, antioxidants status, and caeca microbiota

Abstract This study aimed to evaluate the effect of Coated Organic Acids with Essential Oils (COAWEO) supplementation on performance, carcase traits, blood biochemistry, antioxidant status, and gut microbiota of Japanese quail (JQ) fed restricted during the 2nd week of age. Five hundred and forty, 7-days old JQ were distributed into 6 groups with six replicates/groups. The feed restriction (FR) was applied only at days 7, 9, 11, and 13 of age. Two levels of FR were used: −12.5 and −25.0% of the amount of feed consumed by the control group (feeding ad libitum), on the previous day. The diets (control, FR12.5 and FR25.0) were fed with or without 100 g/ton of COAWEO. The results indicate that FR and COAWEO-supplemented diets did not affect weight gain, feed intake, and carcase weight. The feed conversion ratio (FCR) was improved by FR during 7–42 days of age. The total bacterial and Lactobacilli counts in the caeca were, respectively, decreased and increased due to FR and COAWEO. Japanese quail can tolerate 12.5% FR without adverse effects on growth performance, carcase traits, blood biochemistry, and gut microbiota. FR25.0 group supplemented with COAWEO showed improved growth performance than the control without any adverse effect on carcase traits, blood biochemistry, and gut microbiota. Highlights Feed restriction can represent a way to improve the sustainability of poultry farms. The concerns about animal welfare can be overcome by applying feed restrictions for a short period. The combination short-period feed restriction/antioxidant supplementation can further improve animal welfare.
Age and sex differences in the association between APOE genotype and Alzheimer’s disease in a Taiwan Chinese population

Introduction The Apolipoprotein E (APOE) epsilon (ε) 4 allele is a well-established risk factor for late-onset Alzheimer’s disease (AD). Reports on white ancestry populations have showed that age, sex, and ethnicity have different effects on the association between APOE genotype and AD. However, studies on Asian populations such as Taiwan Chinese populations are limited. This study aimed to evaluate the association between APOE genotype and AD in a Taiwan Chinese population, and to explore if the association varies by age and sex. Methods We conducted a case-control study in 725 patients with AD and 1,067 age- and sex- matched controls without dementia from a Taiwan Chinese population. Logistic regression models were used to test the association between AD and APOE genotypes. Secondary analyses considered age (<75 or ≥75 years old), and sex stratified models. Results The risk of AD was significantly increased for people with at least one copy of APOE ε4 (OR = 2.52, 95% CI = 2.01–3.17, p < 0.001) and in a dose-dependent manner. Our results did not show an statistically significance different in AD risk when women and men carrying APOEε4 were compared. Despite not reaching statistical significance, the risk of APOE ε4 for AD was higher among younger participants (OR = 3.21, 95% CI = 2.26–4.56, p < 0.001) compared to older ones (OR = 2.13, 95% CI = 1.53–2.97, p < 0.001). When considering both sex and age, the risk of AD was higher among older men carrying APOE ε4 (OR = 2.64, 95% CI = 1.51–4.60 in men; OR = 1.90, 95% CI = 1.26–2.86 in women), while women carrying APOE ε4 appeared to have an increased risk at a younger age (OR = 3.29, 95% CI = 2.20–4.93 in women; OR = 2.91, 95% CI = 1.40–6.05 in men). Discussion The APOE ε4 allele represents a major risk factor for AD in the Taiwanese population. The effect of APOE ε4 allele on AD risk appeared to be stronger among men aged 75 years or more and among younger women.
Supporting Return to Work after Breast Cancer: A Mixed Method Study

Breast cancer (BC) is the most common invasive cancer in the world. Most BC survivors (BCSs) continue working while dealing with cancer-related disabilities. BCSs’ return-to-work (RTW) after cancer treatment is an important stage of their recovery and is associated with a higher survival rate. In this study, we addressed the RTW of BCSs with the intention of facilitating this process through direct action in the workplace. Thirty-two women who requested assistance from January to December 2022 were enrolled in the study. Semi-structured interviews and medical examinations were conducted by a team of three physicians. Interviews were analyzed using Thematic Analysis. Moreover, a quantitative cross-sectional study was conducted to compare the health status of BCSs with that of a control group of 160 working women, using standardized questionnaires on work ability, fatigue, sleep problems, anxiety, depression, and happiness. BCSs were also asked to rate the level of organizational justice they perceived at work prior to their illness. From the qualitative analysis emerged three facilitating/hindering themes: (1) person-related factors, (2) company-related factors, and (3) society-related factors. In the quantitative analysis, BCSs had significantly higher scores for anxiety, depression, sleep problems and fatigue, and lower levels of happiness than controls. The RTW of BCSs entails adapting working conditions and providing adequate support. The work-related analysis of each case made it possible to highlight the measures that need to be taken in the workplace to promote RTW. The treatment of cancer should be paired with advice on the best way to regain the ability to work.
Mereduksi Perilaku Agresif Siswa Melalui Konseling Behavioral Teknik Aversi

Aggressiveness is an act committed by an individual with the intention of hurting oneself, other people, or other objects. Some students of SMPN 17 Malang who have a habit of behaving aggressively need to be given individual counseling services in order to inhibit their aggressive behavior. Many techniques in guidance and counseling can be used to reduce aggressive behavior in students. One of them is the behavioral aversion technique approach. This study aims to reduce the aggressive behavior of SMPN 17 Malang students through behavioral counseling with aversion techniques. This study included a pre-experimental design with One Group Pretest-Posttest, the research subjects were 3 students who had high aggressive behavior, which was measured using an aggressive behavior scale. The results of the Wilcoxon test showed a significance value greater than 0.05. Because this research is to reduce behavior, the researcher uses an inverse significance value benchmark, meaning that if the significance value is greater than 0.05, this research is considered effective. So it can be concluded that behavioral counseling uses effective aversion techniques to reduce aggressive behavior in students. In future research, it is expected to be able to develop aversion techniques in more detail and better as well as a reference material to help overcome the problems of other subjects who need guidance and counseling services both individually and in groups.
Landmine Identification From Pulse Induction Metal Detector Data Using Machine Learning

The significant presence of metallic clutter in minefields results in a high false alarm rate of the conventional metal detectors due to their inability to discriminate between metallic parts of a landmine and nonhazardous clutter. In this letter, we present electromagnetic induction (EMI) based system for identification of small hidden metallic objects. A 1-D convolutional neural network is employed to infer an object class from time-domain magnetic polarizability tensor features. The proposed approach is experimentally validated under laboratory conditions on the dataset, including two types of landmines and five types of metallic clutter. The model trained on simulations and tested on measurements achieves 98% accuracy (with zero false negatives) for both multiclass and binary “threat or nonthreat” classification problems.
Strong decoupling between magnetic subsystems in the low-dimensional spin-
12
 antiferromagnet 
SeCuO3

The search for and understanding of low-dimensional magnetic materials is essential for both fundamental and technological purposes. Here we propose a combined experimental and theoretical investigation of such a system, namely the monoclinic phase of SeCuO3. This low-dimensional spin-1/2 antiferromagnet appears to be based on two decoupled magnetic subsystems which respond differently to applied magnetic field in the antiferromagnetic phase. From our results we are able to propose a zero-field magnetic structure as well as a more exotic finite magnetic field structure, to be tested by future experiments. This finding is based on torque magnetometry measurements on the one side, and the use of a refined phenomenological model and state-of-the-art density functional theory calculations on the other. The existence of such systems opens a way to very exciting physics with the possibility to control separately two magnetic subsystems in one material.
Integrated Approach Improves Monitoring of Wintering Red Kites in Central Europe

ABSTRACT. The Red Kite (Milvus milvus) is a common raptor in suitable areas of Austria, the Czech Republic, and Slovakia during the nonbreeding season. However, the exact number of birds wintering in these countries remains unknown. Through an integrated approach using satellite telemetry, direct field surveys at nocturnal roosts, and citizen science databases, we estimated the wintering population of Red Kites in this area during the winter of 2020/2021. Based on three surveys taking place at the beginning (28 November 2020), middle (9 January 2021), and end (5 February 2021) of winter, respectively, we counted 566, 558, and 536 Red Kites. The observations from online citizen science databases mostly appeared to correspond with the area of communal roost sites. Using our combined approach, the estimates of wintering Red Kites were determined as minimum numbers in the study area. A comparison of historical data (from the second half of the 20th and beginning of the 21st centuries, respectively) and our own results suggests that the wintering population of Red Kites in the study area has increased substantially. This dynamic could be caused by changes in climatic conditions, a shift of the birds' breeding range in Europe, changes in migration behavior and/or food availability, and/or conservation efforts. RESUMEN. Milvus milvus es un rapaz común en áreas adecuadas de Austria, la República Checa y Eslovaquia durante la estación no reproductiva. Sin embargo, el número exacto de aves que pasan el invierno en estos países sigue siendo desconocido. A través de un enfoque integrado utilizando telemetría satelital, censos de campo directos en refugios nocturnos y bases de datos de ciencia ciudadana, estimamos la población invernante de M. milvus en esta área durante el invierno de 2020/2021. Basados en tres censos realizados al inicio (28 de noviembre de 2020), a la mitad (9 de enero de 2021) y al final (5 de febrero de 2021) del invierno, contamos 566, 558 y 536 individuos de M. milvus, respectivamente. Las observaciones de las bases de datos de ciencia ciudadana en línea parecieron corresponder principalmente con el área de los dormideros comunales. Usando nuestro enfoque combinado, las estimaciones de individuos invernantes de M. milvus se determinaron como números mínimos en el área de estudio. Una comparación de los datos históricos (de la segunda mitad del siglo XX y del inicio del siglo XXI, respectivamente) y nuestros propios resultados sugiere que la población invernante de M. milvus en el área de estudio ha aumentado sustancialmente. Esta dinámica podría estar causada por cambios en las condiciones climáticas, un cambio en el área de cría de las aves en Europa, cambios en el comportamiento migratorio y/o en la disponibilidad de alimentos, y/o los esfuerzos de conservación. [Traducción del equipo editorial]
Semaphorins and Their Roles in Breast Cancer: Implications for Therapy Resistance

Breast cancer is the most common cancer worldwide and a leading cause of cancer-related deaths in women. The clinical management of breast cancer is further complicated by the heterogeneous nature of the disease, which results in varying prognoses and treatment responses in patients. The semaphorins are a family of proteins with varied roles in development and homoeostasis. They are also expressed in a wide range of human cancers and are implicated as regulators of tumour growth, angiogenesis, metastasis and immune evasion. More recently, semaphorins have been implicated in drug resistance across a range of malignancies. In breast cancer, semaphorins are associated with resistance to endocrine therapy as well as breast cancer chemotherapeutic agents such as taxanes and anthracyclines. This review will focus on the semaphorins involved in breast cancer progression and their association with drug resistance.