Miracle-dz/UniFAR-FTUs huggingface dataset:
Profil Resiliensi Remaja Putri di Panti Asuhan dilihat Pada Aspek Empathy, Emotion Regulation dan Self-Efficacy

This study aims to describe the resilience profile of adolescent girls at the Aisyah Muhammadiyah Orphanage, North Sumatera. In this study, we will discuss aspects of resiliensi in the daily lives of adolescents in orphanages which include the aspects of, a). Emotion, b). Impulse control, c). Optimistic. d). Causal analysis, d),Empathy, e). Self efficacy, f). Reaching out. There are 30 young womwn, 17 people at the junior high school level and 13 people at senior high school level. To obtain data in this study, interviews and guestionnaires related to aspects of resiliensi were carried out. From the results of the study, it was found that in general the resilience of adolescent girls was in the medium category as many as 28 peopel (93.3%), and the low category as many as 2 people (6.67%). From the results of this study, a guidance will be created for young women in orphanages in strengthening and growing strong resilience in facing various problems and challenges in the future.
Optimization of Interdigital Capacitive Sensor for Cell Culture Plates

This paper studies the sensitivity of various interdigital capacitive sensors placed under an individual well of a cell culture plate. Representative for the biological cell spheroid with 200 μm diameter, a Polystyrene bead of the same size is used as the sample in this study. Electrostatic capacitance and reflection coefficient of the sensor have been simulated and compared for five different sensor designs with and without the sample. The results showed that the sensitivity can be maximized by optimizing the finger number and width of the interdigital electrodes. The results of this study can provide design guidelines for cell culture monitoring capacitive sensors that will be developed in a future work.
Development and Optimization of a Building Energy Simulation Model to Study the Effect of Greenhouse Design Parameters

Energy management of the greenhouse is considered to be one of the most important challenges of greenhouse farming. Energy saving measures need considered, besides applying energy supplying techniques. To address this issue, a model was developed to simulate the thermal environment of a greenhouse using a Transient Systems Simulation Program (TRNSYS 17) as a building energy simulation (BES) platform. The model was calibrated by modifying the input parameters to minimize the uncertainties obtained from the results. Nash-Sutcliffe efficiency coefficients of 0.958 and 0.983 showed good agreement between the computed and experimental results. The proposed model was used to evaluate the effects of greenhouse design parameters, including roof shape, orientation, double-glazing, natural ventilation, coverings and their thickness, on its energy conservation capacity. It was found that the most suitable design for a greenhouse located in Daegu (latitude 35.53° N, longitude 128.36° E) South Korea would be east-west (E-W) oriented, with a gothic-shaped roof and double-glazing of PMMA (Polymethylmethacrylate) covering. Natural ventilation reduced the inside temperature of greenhouse, thereby reducing the energy demand of cooling. The model developed can help greenhouse farmers and researchers make pre-design decisions regarding greenhouse construction, taking their local environment and specific needs into consideration.
An Investigation of Battery Electric Vehicle Driving and Charging Behaviors Using Vehicle Usage Data Collected in Shanghai, China

This paper investigates the driving and charging behaviors of battery electric vehicle (BEV) drivers observed in Shanghai, China. The summary statistics are compared with the observations from the U.S. EV Project. A machine-learning approach, namely self-organizing feature map (SOM), is adopted as a classifier to analyze BEV drivers’ habitual behaviors. The inter-driver heterogeneities are examined in terms of: the distributions of distance traveled per day, the start time of charging, the number of charges per day, distance traveled between consecutive charges, battery state of charge (SOC) before and after charging, and time-of-day electricity demand. It is found that (a) BEV drivers demonstrate conservative charging behaviors, leading to short distances between consecutive charging events; (b) a significant number of BEV drivers in Shanghai charge during daytime; (c) the distributions depicting the driving and charging patterns vary greatly due to the diversity in travel activities among different drivers.
Tumor-Specific CD4+ T Cells Restrain Established Metastatic Melanoma by Developing Into Cytotoxic CD4– T Cells

Cytotoxic CD8+ T cells are the main focus of efforts to understand anti-tumor immunity and immunotherapy. The adoptive transfer of tumor-reactive cytotoxic CD8+ T lymphocytes expanded and differentiated in vitro has long been considered the primary strategy in adaptive anti-tumor immunity, however, the majority of the transferred tumor antigen-specific CD8+ T cells differentiated into CD39+CD69+ exhausted progenies, limiting its effects in repressing tumor growth. Contrarily, less attention has been addressed to the role of CD4+ T cells during tumorigenesis. Using a mouse model of metastatic melanoma, we found that transferring tumor-specific CD4+ T cells into recipients induces substantial regression of the established metastatic tumors. Notably, in vitro activated CD4+ T cells developed into cytotoxic CD4- T cells in vivo and get exhausted gradually. The blockade of PD-L1 signaling resulted in an expansion of tumor specific CD4+ T cells, which could better control the established metastatic melanoma. Moreover, the tumor-specific memory CD4+ T cell can prevent mice from tumor metastasis, and the tumor-specific effector CD4+ T cells can also mitigate the established metastatic tumor. Overall, our findings suggest a novel mechanism of CD4+ T cells in curtailing tumor metastasis and confirm their therapeutic role in combination with PD-L1 blockade in cancer immunotherapy. Hence, a better understanding of cytotoxic CD4- T cell-mediated tumor regression could provide an alternative choice for patients exhibiting suboptimal or no response to CD8+ T cell-based immunotherapies.
Machine Learning Approaches for Hospital Acquired Pressure Injuries: A Retrospective Study of Electronic Medical Records

Background Many machine learning heuristics integrate well with Electronic Medical Record (EMR) systems yet often fail to surpass traditional statistical models for biomedical applications. Objective We sought to compare predictive performances of 12 machine learning and traditional statistical techniques to predict the occurrence of Hospital Acquired Pressure Injuries (HAPI). Methods EMR information was collected from 57,227 hospitalizations acquired from Dartmouth Hitchcock Medical Center (April 2011 to December 2016). Twelve classification algorithms, chosen based upon classic regression and recent machine learning techniques, were trained to predict HAPI incidence and performance was assessed using the Area Under the Receiver Operating Characteristic Curve (AUC). Results Logistic regression achieved a performance (AUC = 0.91 ± 0.034) comparable to the other machine learning approaches. We report discordance between machine learning derived predictors compared to the traditional statistical model. We visually assessed important patient-specific factors through Shapley Additive Explanations. Conclusions Machine learning models will continue to inform clinical decision-making processes but should be compared to traditional modeling approaches to ensure proper utilization. Disagreements between important predictors found by traditional and machine learning modeling approaches can potentially confuse clinicians and need to be reconciled. These developments represent important steps forward in developing real-time predictive models that can be integrated into EMR systems to reduce unnecessary harm.
When Products Come Alive: Interpersonal Communication Norms Induce Positive Word of Mouth for Anthropomorphized Products

Across five experiments, this research finds that product anthropomorphism enhances consumers’ intention to share positive thoughts in their word-of-mouth (WOM) communication about such products, in the hope of creating a favorable interpersonal impression about themselves. Our theorizing suggests that the effect occurs because consumers apply a norm that originates in human-related communication—namely, that speaking positively of other people creates a more likable impression of speakers by making them seem more kind and polite—to their WOM for anthropomorphized products (study 1). As a result, when an impression management motive is salient, consumers display greater overall positivity in their WOM for an anthropomorphized product than for its non-anthropomorphized equivalent (study 2). Support for this prediction is found across various measures of WOM positivity. Further, in line with this conceptualization, anthropomorphism-induced positivity diminishes a) when consumers are less concerned about impression management, such as when talking to a close friend (study 3), b) when an opposing accuracy motive overpowers the impression management motive (study 4), or c) when the underlying belief that positivity will yield favorable impressions is itself challenged (study 5). Our conceptualization and findings inform and extend research on consumer WOM communication, product anthropomorphism, and impression management.
Relationship Between Workplace Behaviour and Staff Job Performance in Private Secondary Schools in Ilorin West Local Government, Kwara State, Nigeria

Workplace behaviour refers to behaviour that organization requires or demands of employees at all times which will encourage efficient running of the organization and subsequently lead to the attainment of the goals. Drawing from empirical studies and review of theories, this study examined the relationship between workplace behaviour and staff job performance in private secondary schools in Ilorin West local government, Kwara state, Nigeria. Specifically, the study assessed: (i) the relationship between punctuality and staff job performance in private secondary schools in Ilorin West local government, Kwara state, Nigeria; (ii) the relationship between teamwork and staff job performance in private secondary schools in Ilorin West local government, Kwara state, Nigeria and (iii) the relationship between discipline and staff job performance in private secondary schools in Ilorin West local government, Kwara state, Nigeria. The study was a descriptive research of correlation type, random sampling technique was used to select 50 private secondary schools in Ilorin West local government. Random sampling technique was used to select 10 staff per school. Purposive sampling technique was used to select administrative officers (Proprietors, Principals, Vice-Principals and Bursars). Questionnaire was used to collect data for the study, the instruments were validated by the experts and also tested for reliability. The reliability coefficients realized for WPQ and SJPQ were 0.82 and 0.76, respectively. The main and operational hypotheses were tested using Pearson product-moment correlation statistics respectively at 0.05 level of significance. The results revealed that there was a significant relationship between workplace behaviour and staff job performance (p˃0.05). The study concluded that workplace behaviour plays a significant role in enhancing staff job performance which would consequently facilitate the realization of educational goals of secondary schools in Ilorin-West local government, Kwara state, Nigeria. Based on the findings and conclusion, the study recommended that education stakeholders, including state government, should intensify their efforts to ensure that staff maintain workplace behaviour through strict implementation of staff code of conduct, the staff should be sensitized on the importance and consequences of workplace behaviour and ensure that appropriate sanctions are carried out on the defaulters. Keywords: workplace behaviour, job performance, private secondary schools
EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection

Crops grown in tropical, subtropical, and temperate climates are subject to a variety of diseases and pests. Plant illnesses are complicated by interactions between the virus, the host plant, and the insect. In this paper, we present a robust transfer-learning-based detector for real-time plant disease detection with PlantDoc datasets and plant village dataset. EfficientNetV2 architecture is more efficient, high speed and accurate in compared with EfficientNetV1. The EfficientNetV2 with the pretrained weights, Image net and plant village obtain the highest score in accuracy with 74%,F1-score=0.74 if compared to other benchmarked models.
Translation and Validation Study of the French Version of the eHealth Literacy Scale: Web-Based Survey on a Student Population

Background eHealth literacy is emerging as a crucial concept for promoting patient self-management in an overloaded hospital system. However, to the best of our knowledge, no tool currently exists to measure the level of eHealth literacy among French-speaking people. The eHealth Literacy Scale (eHEALS) is an easy-to-administer 8-item questionnaire (5-point Likert scale, ranging from strongly disagree to strongly agree) that has already been translated into many languages. Currently, it is the most cited questionnaire in the literature. Objective The aim of this study was to translate eHEALS to French and validate the French version of eHEALS (F-eHEALS). Methods The validation of the F-eHEALS scale followed the 5 steps of the transcultural validation method: double reverse translation, validation by a committee of experts (n=4), pretest measurement to check the clarity of the items (n=22), administration of the scale in French via a web-based quantitative study combined with two other questionnaires (Health Literacy Survey-Europe–16 and Patient Activation Measure–13; N=328 students), and finally test-retest (n=78) to check the temporal stability of the measurements obtained from the scale. Results The results obtained for the measurement of factor structure, internal consistency, and temporal stability (intraclass correlation coefficient=0.84; 95% CI 0.76-0.9; F77,77=6.416; P<.001) prove the validity and fidelity of the proposed scale. The internal consistency of F-eHEALS was estimated by Cronbach α of . 89. The factor analysis with varimax rotation used to validate the construct showed a 2-factor scale. The effect of the construct was analyzed using 3 hypotheses related to the theory. The F-eHEALS score was correlated with the Health Literacy Survey-Europe–16 score (r=0.34; P<.001) and the Patient Activation Measure–13 score (r=0.31; P<.001). Conclusions F-eHEALS is consistent with the original version. It presents adequate levels of validity and fidelity. This 2D scale will need to be generalized to other populations in a French-speaking context. Finally, a version taking into account collaborative applications (ie, Health 2.0; eg, Digital Health Literacy Instrument scale) should be considered on the basis of this study.
Development of Breakdown Probability Models for Rural Freeway Work Zones Using Field Data and Simulation

ii ACKNOWLEDGEMENTS . iii LIST OF TABLES . viii LIST OF FIGURES . xi LIST OF ABBREVIATIONS . xiv CHAPTER ONE: INTRODUCTION . 1 1.1 BACKGROUND . 1 1.2 PROBLEM STATEMENT . 2 1.3 RESEARCH OBJECTIVES . 4 1.4 ORGANIZATION OF THIS THESIS . 5 CHAPTER TWO: LITERATURE REVIEW . 7 2.
Experimental Evaluation of Wind Turbines Inverters on Generating Harmonic Currents

Abstract The search for alternative sources of energy, aimed at supplying the energy matrix, has shown a rapid increase in the use of wind energy worldwide. However, the interaction between wind farms and the electrical networks has shown itself to be an area of research interest. Among those phenomena that require evaluations by regulatory agencies, which in general aim at authorizing access to electric networks, emphasis is given to the following performance magnitudes: harmonic distortions, flicker, impacts on steady state voltages, transitory and dynamic performances, etc. The focus is here placed upon studies related to the estimation of individual and total harmonic distortions that are produced on the connection bus, these are frequently performed through use of computational resources. To this end, the studies are conducted on the basis of injecting individual harmonic current components produced by the generating units, which once adequately fixed, interact with the harmonic impedances determined by the composition of the internal network of the windfarm, along with the geometric locations that characterize the harmonic impedances of the connecting network. Therefore, such evaluations are performed based on equivalent Norton harmonics, which require, as a premise, the harmonic currents that are produced and injected. In this context, the present article is centered on specific issues linked to the qualitative and quantitative characterization of these harmonic currents, with emphasis on operational factors that exert influence on its orders and amplitudes. This work is conducted in order to clarify the origin and nature of the generated currents, the factors that influence such magnitudes, and finally, an evaluation of the theme through experimental studies performed for a laboratory installation aimed at emulating a full converter type of wind generator.
THE INVESTIGATION OF THE EFFECTS OF ROBOTIC-ASSISTED PRACTICES IN TEACHING RENEWABLE ENERGY SOURCES TO SEVENTH-GRADE STUDENTS IN SECONDARY SCHOOL

: The purpose of the study is to teach the robotics-assisted lego training sets and renewable energy sources to 7th grade students in secondary school and examine the effects of practices on academic achievement and scientific process skills of students. The research was carried out with 20 students which study in the 7th grade of secondary school. A single group pre-test-post test model which is one of the pre-test designs, was used in the study. In the research, it was tried to be taught the renewable energy sources to students by using the Lego® Mindstorms EV3 Training Kit and the Lego® Renewable Energy Kit. The practice lasted total for 20 hours as 3 stages. At the first stage, Lego® Mindstorms EV3 Training Kit and Lego® Renewable Energy Kit were introduced to the students. At the second stage of the practice solar energy related materials and at the final stage wind energy materials of the practice were ensured to be designed by students, and it was made them do activities. In the research, as a mean of collecting data, "Alternative Energy Resources Achievement Test" developed by Mercan Hobek (2014) in order to measure the success of students on the topic of renewable and non-renewable energy sources, "Scientific Process Skill Test" developed by Okey, Wise and Burns (1985) and translated and adapted to Turkish by by Geban, Askar and Ozkan (1992) in order to determine whether there is any change in the scientific process skills of the students and "Semi-structured interview form" in order to evaluate the perspectives of students on the use of legos as a course material, were used. The data obtained in the study were evaluated through the SPSS package program. In the light of this study, it was determined how students perceive education with legos as a method oriented the subject of renewable energy sources.
Contractual challenges for BIM-based construction projects: a systematic review

Purpose Building information modeling (BIM) has been proven to enable outstanding results in construction processes by enhancing knowledge sharing with regard to a building or facility throughout its life cycle from the conceptual design to facility management. The purpose of this paper is to investigate the extent to which the use of BIM has impacted the legal and contractual implications of the existing construction contracts for aligning the three sets of relevant development domains: BIM functionality, contract procurement methods, and BIM legal and contractual issues to enhance the efficient use of valuable resources. Design/methodology/approach This exploratory study was undertaken by analyzing the literature using a novel approach involving a matrix that juxtaposes BIM functionalities for each project life cycle with contract procurement methods. As part of the study, 28 interactions of BIM legal and contractual issues have been identified, as representing positive and negative interactions. Findings The interaction matrix framework that juxtaposes BIM functionalities and procurement methods highlights the theoretical and practical relationships identified between the methods. It also simultaneously recognizes the constructive and destructive interactions between these development domains by means of critically identifying the possible interactions of the legal and contractual aspects of both the BIM project procurement and the practical aspects of BIM project delivery. Originality/value The present study contributes to the existing literature by extensively identifying the probable interactions of contractual issues within BIM functionality with contract procurement methods throughout the life cycle of a building construction project.
Distribution of the Stag Beetle Lucanus cervus (Linnaeus, 1758) (Coleoptera, Scarabaeoidea, Lucanidae) within Romania, Europe

1Faculty of Agricultural Sciences, Food Industry and Environmental Protection, Lucian Blaga, University of Sibiu, Romania 2Oltenia Museum Craiova, Romania 3Ion Borcea Museum of Natural Sciences, Bacău, Romania 4Butterfly Conservation, Manor Yard, East Lulworth, Wareham, Dorset, BH20 5QP UK Article Information Received 05 August 2021 Revised 03 April 2022 Accepted 21 April 2022 Available online 15 June 2022 (early access)
Titrating the Translational Relevance of a Low-Level Repetitive Head Impact Model

Recently, there has been increased attention in the scientific community to the phenomenon of sub-concussive impacts, those hits to the head that do not cause the signs and symptoms of a concussion. Some authors suggest that sub-concussive impacts may alter behavior and cognition, if sustained repetitively, but the mechanisms underlying these changes are not well-defined. Here, we adapt our well-established weight drop model of repetitive mild traumatic brain injury (rmTBI) to attempt to produce a model of low-level repetitive head impacts (RHI). The model was modified to eliminate differences in latency to right following impact and gross behavioral changes after a single cluster of hits. Further, we varied our model in terms of repetition of impact over a 4-h span to mimic the repeated sub-concussive impacts that may be experienced by an athlete within a single day of play. To understand the effects of a single cluster of RHIs, as well as the effect of an increased impact frequency within the cluster, we evaluated classical behavioral measures, serum biomarkers, cortical protein quantification, and immunohistochemistry both acutely and sub-acutely following the impacts. In the absence of gross behavioral changes, the impact protocol did generate pathology, in a dose-dependent fashion, in the brain. Evaluation of serum biomarkers revealed limited changes in GFAP and NF-L, which suggests that their diagnostic utility may not emerge until the exposure to low-level head impacts reaches a certain threshold. Robust decreases in both IL-1β and IL-6 were observed in the serum and the cortex, indicating downregulation of inflammatory pathways. These experiments yield initial data on pathology and biomarkers in a mouse model of low-level RHIs, with relevance to sports settings, providing a starting point for further exploration of the potential role of anti-inflammatory processes in low-level RHI outcomes, and how these markers may evolve with repeated exposure.