Miracle-dz/UniFAR-FTUs huggingface dataset:
A compact triple‐band antenna design for UMTS, WLAN and WiMAX applications

A compact triple‐band planar antenna applied to UMTS, WiFi and WiMAX applications is proposed. The proposed antenna provides three wide frequency bands, which are 1744–2759 MHz, 3271–4126 MHz and 4718–5908 MHz, realized in a commercial FR4 printed‐ circuit board (PCB) with a permittivity of 4.4 and thickness of 0.6 mm. Both simulation and measurement are pretty matched and indicate that the proposed antenna achieves gains to be 3.5, 3.0, and 2.5 dBi at 2.4, 3.5, and 5.2 GHz, respectively. The antenna dimension is 52.8 × 31.2 mm2, smaller than presently published antennas discussed in comparison table. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 2207–2212, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24522
Numerical analysis of the V-die bending process of the zinc coated DC01 steel

This paper presents the FEM analysis of V-die bending process of the zinc plated DC01 steel. The process is analyzed in terms of maximal plastic strain, and the reaction force on the punch. An analysis of the spring-back phenomenon has also been conducted. This paper shows the model preparation process as well as the achieved results and their interpretation.
Semi-Quantitative Assessment Framework for Corrosion Damaged Slab-on-Girder Bridge Columns Using Simplified Nonlinear Finite Element Analysis

Most of existing North American bridge infrastructure is reported to be deficient. Present infrastructure management mainly relies on qualitative evaluation, where bridge safety and serviceability are judged through routine visual inspection. With the successive increase in the number of severely deficient bridges and the limited available resources, it is crucial to develop a performance-based quantitative assessment evaluation approach that enables an accurate estimation of aging bridges ultimate and seismic capacities and ensures their serviceability. Reinforcement corrosion is the main cause of most of North American concrete infrastructure deterioration. Experimental investigations prove that reinforcement corrosion results in reduction of the steel reinforcement cross sectional area, localized (or global in very extreme cases) loss of bond action, concrete spalling, loss of core concrete confinement, and structural collapse. Field observations show that damage due to reinforcement corrosion in reinforced concrete (RC) bridge columns is localized in highly affected zones by splash of deicing water. In this thesis, an innovative performance-based semi-quantitative assessment framework is developed using newly developed simplified nonlinear static and dynamic finite element analysis approaches. The framework integrates the bridge’s available design and after-construction information with enhanced inspection and additional material testing as sources for accurate input data. In order to evaluate the structural performance and the capacity of the corrosion-damaged bridge columns, four nonlinear static and dynamic analysis approaches have been developed: (i) simplified nonlinear sectional analysis (NLSA) approach that presents the basis of the
Relationships Between University Students’ Gender and Physical Activity (PA) and Their Exercise Self-Schemas, Processing of PA-Related Information, and PA Decision-Making

In the current study, we investigated the effects of gender and regular physical activity (PA) on PA decision-making and speed of information processing. We enrolled 110 university students (Mage = 20.91, SD =2.28 years) in an experiment involving two tasks and a questionnaire. One of the two tasks assessed how much participants agreed with presented PA words and phrases and the other task predicted behavior and responses to future situations. We collected and measured the participants’ choices and the time they took to make them. The questionnaire, the International Physical Activity Questionnaire (IPAQ), consisted of exercise self-schema and PA questions. We conducted a 2 (gender: male or female) ×2 (regular PA or not) multivariate analysis of variance (MANOVA) and found statistically significant differences between variables as a function of participants’ gender (λ = .66, p < .001) and regular PA engagement (λ = .51, p < .001). In a regression analysis, we also found gender differences [males showed relationships between agreement with PA information and information processing speed for decisions on future behavior (R 2 = .31, F = 12.50); females showed relationships between their exercise self-schema (R 2 = .26, F = 18.18) and regular PA such that, in the non-regular PA group, exercise self-schema was related to reaction time in making decisions on future behavior (R 2 = .29, F = 11.23), and in the regular PA group, agreement with PA information was related to reaction time for PA-related words, and agreement with non-PA information (R 2 = .29, F = 8.91)]. These results highlight the need to consider participant characteristics when designing exercise interventions, and we present supplementary data regarding exercise self-schemas, decision-making, and the speed of processing PA information.
North American Attitudes toward Immigrants and Immigration in the Time of COVID-19: The Role of National Attachment and Threat

Using a cross-national representative survey conducted during the COVID-19 pandemic, we examine predictors of attitudes toward immigrants and immigration in Canada and the United States, including general and COVID-related nationalism, patriotism, and perceived personal and national economic and health threats. In both countries, nationalism, particularly COVID-related nationalism, predicted perceptions that immigration levels were too high and negative attitudes toward immigrants. Patriotism predicted negative immigration attitudes in the United States but not in Canada, where support for immigration and multiculturalism are part of national identity. Conversely, personal and national economic threat predicted negative immigration attitudes in Canada more than in the United States. In both countries, national health threat predicted more favorable views of immigration levels and attitudes toward immigrants, perhaps because many immigrants have provided frontline health care during the pandemic. Country-level cognition in context drives immigration attitudes and informs strategies for supporting more positive views of immigrants and immigration.
Identifying the Diffusion Patterns of Movies by Opening Strength and Profitability

Motion picture industry is one of the most representative fields in the cultural industry and has experienced constant growth both worldwide and within domestic markets. However, little research has been undertaken for diffusion patterns of motion pictures, whereas various issues such as demand forecasting and success factor analysis have been widely explored. To analyze diffusion patterns, we adopted extended Bass model to reflect the potential demand of movies. Four clusters of selected movies were derived by k-means clustering method with criteria of opening strength and profitability and then compared by their diffusion patterns. Results indicated that movies with high profitability and medium opening strength are most significantly influenced by word of mouth effect, while low profitability movies display nearly monotonic decreasing diffusion patterns with noticeable initial adoption rates and relatively early peak points in their runs.
Survivorship bias on the Momentum Effect: Evidence from the Portuguese Market

This study reports survivorship bias for the momentum effect. Effectively, this study shows that the Portuguese stock market does not exhibit the “momentum effect” when all listed stocks are considered spanning the period from January 1991 to December 2016. However, this phenomenon was detected when only survivor stocks are used. This study also shows that average returns for momentum portfolios were similar before and after the 2007 financial crisis.
Association between residential exposure to petrochemical industrial complexes and pancreatic cancer: a systematic review and meta-analysis

ABSTRACT Increased in the global demand–expansion of the petrochemical industry is a possible environmental risk factor pancreatic cancer among residents living close to petrochemical complexes. This meta-analysis aimed to estimate the pooled risk of pancreatic cancer among residents living near petrochemical industrial complexes. We systematically searched and reviewed published studies in six databases based on the inclusion criteria derived from the population, exposure, comparator, and outcomes framework (population: general population; exposure: residence near petrochemical industrial complexes/living in cities with petrochemical industrial complexes; comparators: residents living farther away from petrochemical industrial complexes/living in cities without petrochemical industrial complexes; outcome: pancreatic cancer). We identified seven studies, covering 1,605,568 residents. Pooled analysis showed a significantly higher risk of pancreatic cancer among residents living near petrochemical industrial complexes (relative risk [RR] = 1.31, 95% confidence interval [CI] = 1.21–1.42) than those living farther away from petrochemical industrial complexes. Such effect was higher in female residents (RR = 1.34, 95% CI = 1.18–1.53) than in male residents (RR = 1.26, 95% CI = 1.12–1.41). This study suggests that exposure to petrochemical industry-related activities should be recognized as a risk factor for pancreatic cancer among residents living near petrochemical industrial complexes.
Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission

Since the global withdrawal of Sabin 2 oral poliovirus vaccine (OPV) from routine immunization, the Global Polio Eradication Initiative (GPEI) has reported multiple circulating vaccine-derived poliovirus type 2 (cVDPV2) outbreaks. Here, we generated an agent-based, mechanistic model designed to assess OPV-related vaccine virus transmission risk in populations with heterogeneous immunity, demography, and social mixing patterns. To showcase the utility of our model, we present a simulation of mOPV2-related Sabin 2 transmission in rural Matlab, Bangladesh based on stool samples collected from infants and their household contacts during an mOPV2 clinical trial. Sabin 2 transmission following the mOPV2 clinical trial was replicated by specifying multiple, heterogeneous contact rates based on household and community membership. Once calibrated, the model generated Matlab-specific insights regarding poliovirus transmission following an accidental point importation or mass vaccination event. We also show that assuming homogeneous contact rates (mass action), as is common of poliovirus forecast models, does not accurately represent the clinical trial and risks overestimating forecasted poliovirus outbreak probability. Our study identifies household and community structure as an important source of transmission heterogeneity when assessing OPV-related transmission risk and provides a calibratable framework for expanding these analyses to other populations. Trial Registration: ClinicalTrials.gov This trial is registered with clinicaltrials.gov, NCT02477046.
Task Modulation of Single-Neuron Activity in the Human Amygdala and Hippocampus

Abstract The human amygdala and hippocampus are critically involved in various processes in face perception. However, it remains unclear how task demands or evaluative contexts modulate processes underlying face perception. In this study, we employed two task instructions when participants viewed the same faces and recorded single-neuron activity from the human amygdala and hippocampus. We comprehensively analyzed task modulation for three key aspects of face processing and we found that neurons in the amygdala and hippocampus (1) encoded high-level social traits such as perceived facial trustworthiness and dominance and this response was modulated by task instructions; (2) encoded low-level facial features and demonstrated region-based feature coding, which was not modulated by task instructions; and (3) encoded fixations on salient face parts such as the eyes and mouth, which was not modulated by task instructions. Together, our results provide a comprehensive survey of task modulation of neural processes underlying face perception at the single-neuron level in the human amygdala and hippocampus.
How Noncredit Enrollments Distort Community College IPEDS Data: An Eight-State Study

A commonly used metric for measuring college costs, drawn from data in the Integrated Postsecondary Education Data System (IPEDS), is expenditure per full-time equivalent (FTE) student. This article discusses an error in this per FTE calculation when using IPEDS data, especially with regard to community colleges. The problem is that expenditures for noncredit courses are reported to IPEDS but enrollments are not. This exclusion inflates any per FTE student figure calculated from IPEDS, in particular expenditures and revenues. A 2021 IPEDS Technical Review Panel (TRP #62) acknowledged this problem and moved campus institutional research offices a step closer to reporting noncredit enrollment data (RTI International, 2021). This article is the first to provide some numbers on the magnitude of this problem. It covers eight states—California, Iowa, New Jersey, New York, North Carolina, South Carolina, Tennessee, and Virginia. Data on noncredit community college enrollments were made available from system offices in all states. In addition, discussions were held at both the system level and the campus level to verify the data and assumptions. Figures provided by states were merged with existing IPEDS data at the campus and state levels, and then were adjusted to account for noncredit enrollments. The results provide evidence that calculations using IPEDS data alone overestimate the resources that community colleges have to spend on each student, although distortions vary greatly between states and among colleges in the same state. The results have important implications for research studies and college benchmarking.
The role of learning style in engineering design thinking via project-based STEM course

ABSTRACT Engineering design thinking is at the core of engineering competence. Project-Based learning (PjBL) about Science, Technology, Engineering, and Mathematics (STEM), which is based on engineering design, has brought enormous success in students’ gaining and applying knowledge about STEM subjects. However, there are few studies on the perceived improvement in engineering design thinking and the possible role that learning style (LS) plays. We implemented PjBL-STEM classes to enable students to design and build a water tower using a truss tower structure that can withstand earthquakes. Constraints such as height, load weight, tower weight, and degree of earthquake withstanding were included. A total of 137 Taiwanese students participated in this course and employed a Gregorc learning style delineator to determine their learning preferences. A pre-test and post-test on perceived engineering design thinking performance was also undertaken. Students demonstrated significant improvements in their perceived engineering design thinking. Additionally, abstract-type learners had greater perceived improvement than concrete-type learners from the PjBL-STEM course. We suggest that different pedagogical methods should be utilized to provide equal opportunities for each student.
Noise Properties and Stabilization of Gunn and Avalanche Diode Oscillators and Amplifiers

Figures 1 and 2 give the FM and AM noise of typical X-Band and Gunn and avalanche diode oscillators. These data are typical and not essentially different from the early data presented by Josenhans. Most differences in the FM noise can be explained by the changes in circuit Q with great reduction in the FM noise obtained only by increasing the circuit Q by energy storage in an additional stabilizing cavity. Differences in AM data can usually be accounted for by the bias circuit impedance or by threshold problems in the AM noise measurement equipment. This is particularly true for the Gunn diode oscillator because the AM noise is low enough that only a Schottky barrier diode is capable of making the measurement.
Skill Assessment of North American Multi-Models Ensemble (NMME) for June-September (JJAS) Seasonal Rainfall over Ethiopia

In recent years, there has been increasing demand for high-resolution seasonal climate forecasts at sufficient lead times to allow response planning from users in agriculture, hydrology, disaster risk management, and health, among others. This paper examines the forecasting skill of the North American Mul-ti-model Ensemble (NMME) over Ethiopia during the June to September (JJAS) season. The NMME, one of the multi-model seasonal forecasting systems, regularly generates monthly seasonal rainfall forecasts over the globe with 0.5 - 11.5 months lead time. The skill and predictability of seasonal rainfall are assessed using 28 years of hindcast data from the NMME models. The forecast skill is quantified using canonical correlation analysis (CCA) and root mean square error. The results show that the NMME models capture the JJAS seasonal rainfall over central, northern, and northeastern parts of Ethiopia while exhibiting weak or limited skill across western and southwestern Ethiopia. The performance of each model in predicting the JJAS seasonal rainfall is variable, showing greater skill in predicting dry conditions. Overall, the performance of the multi-model ensemble was not consistently better than any single ensemble member. The correlation of observed and predicted seasonal rainfall for the better performing models—GFDL-CM2p5-FLOR-A06, CMC2-CanCM4, GFDL-CM2p5-FLOR-B01 and NASA-GMAO-062012—is 0.68, 0.58, 0.52, and 0.5, respectively. The COLA-RSMAS-CCSM4, CMC1-CanCM3 and NCEP-CFSv2 models exhibit less skill, with correlations less than 0.4. In general, the NMME offers promising skill to predict seasonal rainfall over Ethiopia during the June-September (JJAS) season, motivating further work to assess its performance at longer lead times.
PENGARUH COUNTRY OF ORIGIN, BRAND IMAGE, DAN PERCEIVED QUALITY TERHADAP MINAT BELI SEPEDA MOTOR HONDA BEAT DI KOTA DENPASAR

Penelitian ini dilakukan untuk mengetahui pengaruh country of origin , brand image , dan perceived quality terhadap minat beli sepeda motor Honda Beat di Kota Denpasar.Penelitian ini dilakukan di Kota Denpasar, sampel yang diambil sebanyak 152 orang dengan metode purposive sampling . Pengumpulan data dilakukan dengan penyebaran kuesioner dengan menggunakan skala Likert 5 poin untuk mengukur 19 indikator. Teknik analisis yang digunakan adalah regresi linear berganda . Hasil penelitian ini menunjukan bahwa variabel country of origin berpengaruh positif dan signifikan terhadap minat beli sepeda motor Honda Beat di Kota Denpasar, variabel brand image berpengaruh positif dan signifikan terhadap minat beli sepeda motor Honda Beat di Kota Denpasar, variabel perceived quality berpengaruh positif dan signifikan terhadap minat beli sepeda motor Honda Beat di Kota Denpasar. Hal ini menunjukkan bahwa country of origin , brand image , dan perceived quality dapat meningkatkan minat beli sepeda motor Honda Beat di Kota Denpasar.
Trauma and Posttraumatic Stress in Unaccompanied Young Refugees During Their Flight: A Longitudinal Cross-Country Study

Background: Unaccompanied young refugees (UYRs) constitute an especially vulnerable population who report high rates of trauma and mental health problems. There is a significant gap in the literature on trauma and symptoms of posttraumatic stress disorder (PTSD) in UYRs who are still on the move and live in precarious circumstances such as refugee camps. This study therefore aimed at investigating pre- and peri-migration trauma of UYRs, longitudinal trajectories of PTSD, and the impact of gender, trauma, and daily stressors on PTSD over time. Methods: This longitudinal, mixed-method, and multi-country study was conducted in various settings (e.g. refugee camps) across nine European countries. A representative and heterogeneous sample of N = 187 UYRs (78.4% male) from 29 different countries was assessed via interviews at 3 time-points during a period of 27 months. Data was analyzed via growth curve modelling.Results: Prevalence rates of traumatic experiences ranged between 29.5-91.9%. PTSD scores were high but significantly decreased over time (b = -0.98; p = .004). Females reported higher PTSD compared with males at baseline (p = .002), but gender did not influence the longitudinal trajectory of PTSD. Pre-migration trauma had a significant effect on PTSD at baseline (b = 0.48; p = .042). More daily stressors resulted in higher PTSD across time (b = 0.13-0.26; p ≤ .001). Conclusions: The number of traumatic events pre- and peri- migration, daily stressors and PTSD in this heterogeneous sample are to say the least alarming. Humanitarian and political assistance is urgently needed to curb the oftentimes life-threatening conditions UYRs face during their migration.
Effect of Reversed Austenite on Mechanical Properties of ZG06Cr13Ni4Mo Repair Welded Joint

In this work, gas tungsten arc welding (GTAW) was used to repair ZG06Cr13Ni4Mo martensitic stainless steel. Repair welding occurred either once or twice. The changes in the microstructure and properties of the repair welded joints were characterized by optical microscope (OM), scanning electron microscope (SEM), electron backscattering diffraction (EBSD), tensile and impact tests. The effects of reversed austenite in repair welded joints on microstructure and mechanical properties were studied. The results show that the microstructure of the welded joint after repair welding consists of a large amount of martensite (M) and a small amount of reversed austenite (A), and the reversed austenite is distributed at the boundary of martensite lath in fine strips. With the increase in the number of welding repairs, the content of reversed austenite in the welded joint increases. The microstructure in the repair welded joints is gradually refined, the microstructure in the once and twice repaired joints is 45.2% and 65.1% finer than that in the casting base metal, respectively. The reversed austenite presented in the repair welded joints decreases the tensile strength by 4.8% and 6.7%, increases the yield strength by 21.3% and 26.4%, and increases the elongation by 25% and 56%, respectively, compared with the casting base metal. In addition, the reversed austenite mainly nucleates and grows at the boundary of lath martensite. The refinement of the martensite structure was due to the generation of reversed austenite and the refinement of original austenite grain by the welding thermal cycle. After repair welding, the reverse austenite appeared in the repair welded joints and the tensile strength decreased slightly, but the plastic toughness was significantly improved, which was conducive to the subsequent service process.