Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical model for the analysis of series-parallel compensated wireless power transfer system for different misalignments

In recent years, the use of wireless power transfer (WPT) has gained momentum in electric vehicle charging. To design the WPT system, three-dimensional (3D) finite element method (FEM) is used for mutual inductance calculation, and the system performance is evaluated using a circuit simulator. The use of 3D FEM makes the initial design a tedious process. Hence, there is a need for a reliable analytical model which can be used in the preliminary design process. This work proposes a mathematical model of a series–parallel (SP) compensated WPT system that can determine the mutual inductance and the system parameters such as voltage, current, power, and efficiency for different misalignments. The mathematical model consists of electromagnetic and steady-state models. This model can be used to analyse the component stress of SP compensated WPT system. The results of the mathematical model are verified experimentally. Thus, the proposed method can be adopted in the initial design process of SP compensated WPT system.
False-Alarm Detection in the Fog-Based Internet of Connected Vehicles

One of the serious security breaches that threatens today's smart technologies is the broadcasting of false alarms. These alarms may severely affect road management systems. Vehicular networks suffer from this type of threat because of the opacity and the on-purpose broadcasting of false contents which occur frequently. Modern cloud-fog communication architectures force the organization of hierarchical communications, resulting in more robust governance of disseminated contents. This paper proposes a prediction technique that is based on a binary classification using hidden Markov model (HMM). Our contribution in this research area are as follows: 1) modeling fog data features to enforce organization of communication, 2) proposing a technique for the automatic modeling of HMM parameters, which facilitate the precise prediction of false contents, and 3) proposing a dissemination algorithm for fast communication. We conducted several experiments to measure and compare the performance of the proposed model with the state-of-the-art classification algorithms. We also performed a misuse analysis to measure the ability of our proposed model to detect false alarms in synthesis and real-world datasets. In addition, we conducted some further analysis to demonstrate the sensitivity of our methodology to cutoff points. The results showed that our HMM-based technique provides promising prediction accuracy and significantly outperforms existing classification techniques in detecting false-alarm contents.
System for Increasing the Seismic Safety of Pipelines in the Water Supply and Distribution Networks

Seismic activity of small, medium or high intensity has a destructive effect on existing water supply and distribution networks. In the scholar literature, these are included in Class I—Vital Performance Systems, whose operation must be uninterrupted in case of a seismic event. Water networks are also essential for the safe operation of certain critical subsystems in the event of an earthquake (fire-extinguishing systems, etc.), in order to avoid loss of human lives, reduce adverse environmental impacts and limit damage caused by fires. The article proposes a seismic safety system for the water transport pipelines obtained by designing, executing and testing an experimental design, a system that can be used to increase the seismic resilience of the water supply and distribution network pipelines. The experimental data obtained were verified on the basis of the theoretical data available in the literature. The results of the research are particularly useful and can be proposed for use from the stage of designing new networks to providing expertise for existing networks, for establishing the most-stressed areas in which to be installed, and for implementing both execution and at the same time rehabilitation and upgrading.
Artificial Bacteriophage for Anticancer Drug Delivery

In this work, we present the computational design of a nanosystem for drug delivery called artificial bacteriophage, inspired in the T4 Bacteriophage. The nanosystem is made of two carbon nanostructures and molecular bioreceptors: 1) A nanocontainer, made of large buckyballs (C720 or larger), serving as drug carrier; 2) A nanoneedle, made of a single walled carbon nanotube, to inject the drug into cancer cells through TRPV1 channels; 3) nanosensors or bioreceptors, made of proteins, for biological recognition of proteins expressed cancer cells around TRPV1 channels. The nanosystem can be used to effectively delivery drugs in chemotherapy or nano-anesthesiology, or DNA/RNA in gene therapy. In addition, it could deliver controlled and localized doses of the anticancer molecules in order to avoid destroying healthy cells and reduce side effects. The results shown that TRPV1 channel can be a potential target for cancer therapy using carbon-based drug delivery nanosystems. This nanosystem is patent protected WO/2016/055870 PCT/IB2015/051144.
Psychiatric outpatients’ experiences with shared decision-making: a qualitative descriptive study

ABSTRACT Background: Shared decision-making (SDM) has increasingly been advocated as a key element of patient-centered psychiatric care, as a means to enhance the patient–therapist relationship and improve outcomes. However, little is known about patients’ experiences during the SDM process. The aim was to explore patients’ experiences of an SDM program developed for psychiatric outpatients who faced new treatment decisions. Method: Participants were 10 psychiatric outpatients aged 25–72 years with a range of psychiatric conditions (e.g. bipolar disorder, depression). Individual semi-structured interviews were conducted to examine participants’ experiences of a three-stage SDM intervention comprising first consultation, decision aid review at home, and second consultation. A thematic analysis of the interview data was performed. Results: Seven themes were identified. At the first consultation, participants described anticipatory anxiety and becoming involved. At home, they described facing mental illness, involving others, and deepening knowledge. At the second consultation, participants described aligning with the psychiatrist, and decision-making with less conflict. Participants were initially uneasy but then became actively involved in the deliberation process and chose treatments not in conflict with their own views. Although stigma surrounding mental illness emerged and created conflict when participants faced their own psychiatric diagnosis, sufficient external deliberation time enabled involvement of loved ones as vital collaborators in decision-making. Conclusion: Psychiatric outpatients exposed to a new SDM program described positive experiences and shared their treatment options with family members. Adequate deliberation time outside services and involvement of loved ones enhanced participants’ experience of SDM.
A Dynamic Model of the Effects of Feedback-Seeking Behavior and Organizational Commitment on Newcomer Turnover

Theory and conventional wisdom suggest that progressive reduction of feedback-seeking behavior (FSB) during entry is indicative of work adjustment. We argue that a downside of this process is that newcomers’ social integration and acculturation may be weakened. This suggests declining levels of FSB may result in decreased organizational commitment across time and ultimately greater turnover likelihood. These predictions were examined in two longitudinal studies (Study 1, N = 158; Study 2, N = 170) among newcomers. In both studies, FSB by supervisor inquiry was found to decline across time, and the decrease in FSB preceded a steeper decline in affective organizational commitment. In Study 1, the decline of commitment also resulted in a steeper decrease in FSB. Study 2 further found the decline in commitment to mediate the relationship between the decrease in FSB and increased turnover intention. Finally, increased turnover intention mediated the relationship between the decline in commitment and increased turnover the following year. Bridging research on FSB and organizational commitment, these findings shed new light on the influence of the dynamics of FSB on newcomer turnover.
Topic-driven Web Crawler for Sentiment Analysis of University of Muhammadiyah Malang on the Kompas.com Site

Indonesian society is now transforming into the digital age. Web technology as a medium of information in various fields including social, business, education, government, etc., has been popularly used. This situation encourages various parties to be able to utilize the data available on it. One of the uses is sentiment analysis through web mining. Stakeholders certainly want to know whether opinion on their organization is positive, neutral, or negative. Sentiment analysis can be used to measure impressions or attitudes expressed in written language automatically. Unfortunately, the web is only designed for human readability, not for computer analysis. Besides not having a standard structure, web documents are also mixed with tag characters (html tags, java scripts, images, ads, etc.) that need to be eliminated before the data mining process. This study tried to construct a basic topic-driven web crawler as a model to harvest data of formal news on the web. Google search engine is used for topic search. The output of the crawler in the form of unstructured data (html document) is filtered so that the targeted text can be cleaned. This purified text is processed using the Naive Bayes algorithm to determine the polarity of its sentiments. The topic or case study used is the news of the University of Muhammadiyah Malang on the site kompas.com, one of Indonesia's online news media. The experiement showed a page with the requested topic on the kompas.com site can be taken and the sentiment of the extracted text can be analyzed.
Esquemas de alimentación para larvicultura de pejelagarto (Atractosteus tropicus Gill): crecimiento, supervivencia y canibalismo

El diseno de dietas con base en la fisiologia digestiva, asi como un adecuado esquema de alimentacion, per- miten la disminucion del canibalismo y el incremento de la supervivencia en la etapa larvaria de peces. Por lo anterior, el objetivo fue evaluar el crecimiento, supervivencia y canibalismo en la larvicultura del pejelagarto (Atractosteus tropicus Gill) bajo cuatro esquemas de alimentacion: CT (co-alimentacion con nauplio de Artemia por 10 dias y dieta comercial de trucha), T1 (alimentacion con la dieta comercial de trucha desde la apertura de la boca), T2 (co-alimentacion con nau- plio de Artemiay dieta disenada para larvas de A. tropicus por 10 dias) y T3 (alimentacion con la dieta disenada para A. tropicus desde la apertura de la boca), asi como determinar la correlacion entre el canibalismo y la supervivencia mediante un modelo de regresion lineal. Los mejores crecimientos y supervivencias se obtuvieron en los tratamientos T2 y CT. En todos los tratamientos se presento canibalismo, siendo mas alto cuando no se co-alimento con nauplio de Artemia (T1 y T3). Se encontro una fuerte correlacion (r = -0.88, p < 0.05) entre la supervivencia y el canibalismo, lo que demuestra que el canibalismo tiene efecto sobre la supervivencia. El tratamiento T2 representa la mejor alternativa para la larvicultura de A. tropicus, con mayor crecimiento y menor canibalismo.
High-efficiency design of a grid-connected PV inverter based on interleavedflyback converter topology

The importance of efficiency in photovoltaic (PV) inverter applications makes the topology selection as the critical first step. Due to the low efficiency concern, flyback converter is not the preferred topology in kilowatt range in spite of its galvanic isolation, low cost, and small size advantages. Therefore, the objective of this research is to change the perception in favor of flyback converter by designing a flyback-topology-based PV inverter at 2.5 kW with high efficiency. The enhancement in efficiency is achieved mainly by using silicon carbide switching devices, designing ultrahigh-efficiency flyback transformers with extremely low leakage inductance and by implementing a prototype with the lowest parasitic components. As a result, the efficiency of the experimental inverter is measured as 95.82 %. Moreover, the low cost and small size objectives are also maintained with very good grid side performance. Consequently, the experimental results demonstrated that the flyback-converter-topology-based inverters can be successfully implemented at high power with high efficiency and with high commercial value.
Ethnocentrism and Global Identity as Predictors of Attitude towards Herdsmen-farmers Conflict in South-East Nigeria

The study examined if ethnocentrism and global identity were predictors of attitude (Positive or Negative) towards herdsmen among secondary school students of Nimbo community, Uzo-Uwani Local government Area Enugu state and Awka metropolis, Anambra state Nigeria. Two hundred and thirty-two (232) participants (male 111, 47.8%) and (female 121, 52.2%) were randomly selected from four secondary schools. Their ages ranged from 14-18 (M= 15.99, SD=1.10). Three instruments were used for data collection (Ethnocentrism Scale by Neulip & McCroskey, 2013; Global Identity Scale by Turken & Rudmin 2013 and Attitude towards Herdsmen Scale, 2018 developed in the course of this study. The study was a cross-sectional survey and Pearson correlation design was adopted while and regression statistics were used for analysis. The results showed that ethnocentrism and locality were positively and negatively related to attitude towards herdsmen respectively while global identity did not predict attitude towards herdsmen. Based on the findings, the study implicated attitudinal bias and ethnic sentiments which may be localized as a result of experiences and interactions of the group. It is therefore recommended that desensitization programs along ethnic and religious line be encouraged in areas with herdsmen attack experiences and vulnerable areas under perpetual fear of attack in order to reduce ethnic bigotry and hatred capable of inflaming reprisal attack from the community in order to promote peace and cohabitation.
Erasmus University Students Motivation and Segments: The Case of Universitat Politècnica de València, Spain

Abstract This study quantified Erasmus students’ motivations for studying abroad. Surveys were completed by 120 Erasmus students at the Universitat Politècnica de València (UPV) and their motivations for studying abroad were analysed via factor analysis. A two-step cluster analysis was used to segment students’ behaviour based on their motivations. Four factors were obtained: individual development, destination choice facilitators, academic aspects and the destination’s strong points. Behaviour was not uniform, and two different segments were found. In the first, which we refer to as “without perceived motivations”, no motivation was positively rated, while in the second, “with perceived motivations”, academics were a key motivating factor. Universities should consider working with the tourism sector to offer activities related to local culture. They could also organise classes outside of school hours to help Erasmus students learn Spanish.
REPRODUCTIVE CHARACTERISTICS OF MALE FLORIDA PANTHERS: COMPARATIVE STUDIES FROM FLORIDA, TEXAS, COLORADO, LATIN AMERICA, AND NORTH AMERICAN ZOOS

Testicular volume, semen traits, and pituitary-gonadal hormones were measured in populations of Felis concolor from Florida, Texas, Colorado, Latin America, and North American zoos. More Florida panthers ( F. concolor coryi ) were unilaterally cryptorchid (one testicle not descended into the scrotum) than other populations (43.8 versus 3.9%, respectively). Florida panthers also had lower testicular and semen volumes, poorer sperm progressive motility, and more morphologically abnormal sperm, including a higher incidence of acrosomal defects and abnormal mitochondrial sheaths. Transmission electron microscopy revealed discontinuities in the acrosome, extraneous acrosomal material under the plasma membrane, and remnants of the golgi complex under the acrosome. No differences were detected in mean-circulating follicle-stimulating hormone, luteinizing hormone, or testosterone between Florida panthers and other populations of mountain lions. Seminal traits and concentrations of follicle-stimulating hormone, luteinizing hormone, and testosterone were similar between cryptorchid and noncryptorchid Florida panthers. Animals with F. concolor coryi ancestry were categorized on the basis of amount of genetic variation (low = type A; medium = type B; high = captive Piper stock). Compared to counterparts, type A Florida panthers had the lowest testicular volume and sperm-motility ratings and were the only animals exhibiting unilateral cryptorchidism. These results demonstrate the existence of major morphological and physiological differences among populations of F. concolor , a finding potentially related to differences in genetic diversity.
Assessing Water Shortage through a Balance Model among Transfers, Groundwater, Desalination, Wastewater Reuse, and Water Demands (SE Spain)

Currently, water demands are increasing notoriously, spreading the pressure on available water resources around the world in both quantity and quality. Similarly, the expected reduction of natural water inputs, due to climate change, depicts a new level of uncertainty. Specifically, Southeast Spain presents water scarcity due to its aridity—irregular and scarce precipitation and high evapotranspiration rates—combined with the competition between several water demands: environment, agricultural dynamics, urban-tourist activities, and industry. The study area of this work is the most relevant functional urban area of Alicante province (SE Spain), where the administration of water management is carried out by a range of authorities at different levels as the consequence of a complex historical development of water governance schemes: at the national, regional, and local levels. This study analyzes 21 municipalities and proposes a conceptual model which was developed by including different origins of water inputs—surface resources, groundwater, desalination, wastewater reuse, or interbasin transfers—and water demands with information obtained from 16 different sources. Our main results denote a relevant water deficit of 72.6 hm3/year even when one of the greatest rates of desalinated water and reused wastewater in Europe are identified here. This negative balance entails restrictions in urban development and agricultural growth. Thus, presented results are noteworthy for the water policy makers and planning authorities, by balancing the demand for water among various end users and providing a way for understanding water distribution in a context of scarcity and increasing demand, which will become one of the most challenging tasks in the 21st century.
A Stochastic Range Estimation Algorithm for Electric Vehicles Using Traffic Phase Classification

Limited range and charging infrastructure leads to range anxiety of electric vehicle drivers. Current range estimation algorithms are deemed unreliable and large safety margins are reserved to prevent the risk of stranding. Range estimation in general depends on two factors: current battery energy content and the energy consumption forecast on the route to destination. This paper aims at improving the latter by enhancing the forecast with a notion of uncertainty. The prediction algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts. Thereby, a central part of the algorithm is the explicit evaluation of the traffic situation by classifying the traffic phases. With the help of this methodology, individual forecasts can be made more precise since they are highly dependent on surrounding traffic. To demonstrate the validity of the algorithms, the performance is evaluated using real test drive data comprising multiple drivers. On the basis of the performance evaluation, both the superiority of stochastic algorithms over deterministic predictions and the improvement of predictive performance by evaluating explicit traffic phases can be shown. Implementing the proposed methodology in modern day electric vehicles could reduce range anxiety and ultimately increase acceptance of electric mobility worldwide.
An empirical study of factors influencing consumers' attitude towards adoption of wallet apps

Payment systems have witnessed a sea change. They have evolved from physical transfer of cash to transactions through mobile wallet apps. This incredible and quick transition ushers the need to examine the factors that influence the consumers' attitude to adopt wallet apps. Data was collected from 100 mobile wallet app consumers to empirically examine the factors that affect its adoption. Data was analysed by employing correlation and regression analysis using SPSS 20. The results indicated that performance expectancy, incentive and trust are positively significant factors in predicting consumers' attitude towards adoption of mobile wallet apps. Ease of use, social influence, enjoyment and aesthetics were found to have an insignificant effect on wallet app adoption. The findings of the paper contribute towards the understanding of the factors that trigger wallet app adoption and provide useful implications for wallet service providers, marketers and academicians.
Spaces & Places: Understanding Sense of Belonging and Cultural Engagement Among Indigenous Youth

Indigenous youth continue to live with a socioeconomic and political legacy of colonization and marginalization, confronted by environments harmful to their psychosocial development. Resource strained communities may compound these experiences and outcomes for many youth. Increasingly, research points to the mitigating effects of resilience for youth exposed to contextual risks. Resilience is however dependent on both personal capacities and the availability of relevant resources within families, schools, and communities. Meaningful connection to community together with cultural continuity are important contributors to resilience. However, without critical examination of the conditions that support such youth engagement, attempts at fostering these connections may be largely unsuccessful. Spaces & Places explored the cultural continuity and civic engagement of Indigenous youth living in three communities of Atlantic Canada. Using an interactive, transactional theory of resilience, we explored how youth interact with community resources, and how these interactions impact connections with their community and culture. Participatory qualitative image-based methods were used to explore the availability of spaces and how they establish a sense of belonging to community and culture for youth. We used video capture of a day-in-the-life of participants with photo elicitation in reflective interviews, within a Participatory Action Research framework. Youth and community partners actively participated in the research process, including data analysis and knowledge mobilisation.
Dark Coupling and Gauge Invariance

We study a coupled dark energy-dark matter model in which the energy-momentum exchange is proportional to the Hubble expansion rate. The inclusion of its perturbation is required by gauge invariance. We derive the linear perturbation equations for the gauge invariant energy density contrast and velocity of the coupled fluids, and we determine the initial conditions. The latter turn out to be adiabatic for dark energy, when assuming adiabatic initial conditions for all the standard fluids. We perform a full Monte Carlo Markov Chain likelihood analysis of the model, using WMAP 7-year data.