Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Activity Recognition Based On Wearable Flex Sensor and Pulse Sensor

HUMAN ACTIVITY RECOGNITION BASED ON WEARABLE FLEX SENSOR AND PULSE SENSOR XIAOZHU JIN 2021 In order to fulfill the needs of everyday monitoring for healthcare and emergency advice, many HAR systems have been designed [1]. Based on the healthcare purpose, these systems can be implanted into an astronaut’s spacesuit to provide necessary life movement monitoring and healthcare suggestions. Most of these systems use acceleration data-based data record as human activity representation [2,3]. But this data attribute approach has a limitation that makes it impossible to be used as an activity monitoring system for astronavigation. Because an accelerometer senses acceleration by distinguishing acceleration data based on the earth’s gravity offset [4], the accelerometer cannot read any type of acceleration when it is in the actual free fall environment. Since astronauts will experience microgravity and/or zero environments in outer space, all existing acceleration data-based HAR systems cannot fulfill this requirement. Therefore, it is necessary to design a new data attribute for HAR systems to specifically work under microgravity and zero gravity environments. The angular change of body joints during activity can be a good solution. By attaching sensors onto body joints, the system can recognize an activity by analyzing the change pattern of bend angles similarly to how people recognize others’ activity by looking at their posture during movement. Considering the possibility of overlapping data from multiple different activities that may have similar angular changes, a life activity related
Dose- and Time-Dependent Effects of Oleate on Mitochondrial Fusion/Fission Proteins and Cell Viability in HepG2 Cells: Comparison with Palmitate Effects

Mitochondrial impairments in dynamic behavior (fusion/fission balance) associated with mitochondrial dysfunction play a key role in cell lipotoxicity and lipid-induced metabolic diseases. The present work aimed to evaluate dose- and time-dependent effects of the monounsaturated fatty acid oleate on mitochondrial fusion/fission proteins in comparison with the saturated fatty acid palmitate in hepatic cells. To this end, HepG-2 cells were treated with 0, 10 μM, 50 μM, 100 μM, 250 μM or 500 μM of either oleate or palmitate for 8 or 24 h. Cell viability and lipid accumulation were evaluated to assess lipotoxicity. Mitochondrial markers of fusion (mitofusin 2, MFN2) and fission (dynamin-related protein 1, DRP1) processes were evaluated by Western blot analysis. After 8 h, the highest dose of oleate induced a decrease in DRP1 content without changes in MFN2 content in association with cell viability maintenance, whereas palmitate induced a decrease in cell viability associated with a decrease mainly in MFN2 content. After 24 h, oleate induced MFN2 increase, whereas palmitate induced DRP1 increase associated with a higher decrease in cell viability with high doses compared to oleate. This finding could be useful to understand the role of mitochondria in the protective effects of oleate as a bioactive compound.
OAEM_A_245221 145..153

Waridibo E Allison Ada Rubin Trisha V Melhado Aro Choi 1 Deborah A Levine 1University of Texas Health Science Center San Antonio, Department of Medicine, Division of Infectious Disease, San Antonio, TX, USA; 2New York University, Ronald O. Perelman Department of Emergency Services, New York, NY, USA Purpose: Cervical, oropharyngeal and anogenital cancers are vaccine-preventable diseases, but human papillomavirus (HPV) vaccination coverage in the US remains poor overall with regional variations in vaccination rates. We explore the acceptability by adolescents and their parents of HPV vaccination and text message reminders in the non-traditional setting of the emergency department (ED). Patients and Methods: The modified validated Carolina HPVAttitudes and Beliefs Scale (CHIAS) survey was administered at two urban EDs to adolescents aged 13–18 years and their parents. Demographic information was collected for each participating adolescent. Recruitment occurred with consecutive eligible participants on the ED census list approached within 4-hour blocks from 8am to 8pm. Results: Ninety-six adolescents completed the survey. The mean adolescent and parental knowledge scores were 63% (SD=29.7) and 60% (SD=22.1), respectively. The higher the HPV knowledge score among both adolescents and parents, the more likely they were to accept HPV vaccine in ED. Among the 10 cases where the parents disagreed to the HPV vaccine and the adolescents agreed to the HPV vaccine, the mean knowledge score among parents disagreeing was 47 compared to 62 among the remaining parents (p=0.04). Sixty-seven percent of adolescents and 68% of parents were agreeable to the adolescent receiving vaccination in the ED (kappa = 0.24). Seventy-five percent of adolescents and 71% of parents reported being agreeable to receiving text reminders for HPV vaccines (kappa = 0.20). Adolescent agreement with receiving a text message reminder corresponded with an increased willingness to be vaccinated (OR=3.21, 95% CI=1.07–9.57, p-value=0.0368). Sexually active adolescents were older (mean age, 17 years) than those who reported no sexual activity (mean age, 15 years) (p<0.0001). Conclusion: Increased knowledge about HPV influences vaccine acceptance. Parents and adolescents may disagree in accepting HPV vaccination. A majority of adolescents and their parents were agreeable to receiving HPV vaccination in the ED and subsequent text message reminders. The ED should be explored further as a non-traditional healthcare setting for HPV vaccination of adolescents.
Influence of L1 on VOT production in Spanish: English and Ukrainian Comparison

The following study sets out to examine the Voice Onset Time (VOT) production of Spanish voiceless stops /p t k/ by speakers whose L1 is Ukrainian or English. VOT is defined as an interval between the stop burst and the onset of a vocal fold vibration and is used to establish a contrast between voiced and voiceless segments, as well as simple unaspirated voiceless stops and aspirated stops. VOT is known to differ significantly between languages as has been shown by Lisker & Abramson (1964). In languages like Ukrainian and Spanish, the voiceless stops /p t k/ are produced with a short lag VOT of less than 30 ms long. In other languages, such as English, these segments are realized with a long lag of more than 30 ms (Nagy & Kochetov, 2011). While numerous studies have been done on the comparison of English and Spanish VOT measurements and their transfer from one language to another (González-Bueno, 1997a; Díaz-Campos and Lazar, 2003; Knightly et_al, 2003; Díaz-Campos, 2006; Llama, Cardoso and Collins, 2007; Crane and Alvord, 2012; Zampini, 1998, 2014), no such plethora of work can be found on the assessment of the Ukrainian language or the comparison of its features to languages other than English. Previous studies such as Hrycyna (2011) and Nagy & Kochetov (2011) examined Ukrainian heritage speakers (among others) in English speaking environments and the influence of English in their VOT productions of Ukrainian over generations. In contrast to previous studies on VOT in these languages, this investigation provides concrete data on Ukrainian native speakers’ VOT measurements, as well as a direct comparison between English and Spanish with a distinct focus on L1 transfer.
Relation between nurse educators' empowerment and nursing students' clinical competence

Background: nurse educators are responsible for the preparation of nursing students for their future profession; they are vital and serve as a critical driving force to lead the progression of the next generation of professional nurses. If nurse educators perceive themselves as empowered in their jobs, they will be more confident in their skills and knowledge, be more engaged in their role. Aim: the aim of this study was to determine relation between nurse educators' empowerment and nursing students' clinical competence. Design: Descriptive correlational research design was used to achieve the aim of the current study. Setting: two nursing technical institute, one affiliated to university and another one affiliated to ministry of health at Minia city. Subjects: The subject of study was include all nurse educators at Minia Nursing technical institutes (n=20) and 50% of nursing students enrolled at 2 nd academic year 2018-2019 (n=350). Tools: three tools were used to collect data pertinent to the study as: Structural Empowerment Questionnaire; Psychological Empowerment Questionnaire; and Clinical Competence checklist. Results: The study revealed that highest percentage of nursing educators had moderate level of structural empowerment and high level of psychological empowerment. Regarding the total clinical competence mean score, there was highly statistical significance difference (P=0.000) between nursing students at two institutes in favor to Health Technical Institute had higher mean score (82.7 ± 4.6). Conclusion: this study concluded that, there was a positive correlation between nurse educators' empowerment and nursing students' clinical competence. Recommendations: Periodic training courses should be provided in order to keep nursing students updating knowledge, skills, and attitudes regarding to clinical practice and conducting workshops to develop nurse educators' empowerment.
Issues and Recent Advances in Machine Learning Techniques for Intrusion Detection Systems

As networks get more complex with the success of technologies such as cloud computing, virtualization, and IoT, the attack surface for cybercrimes continues to grow. There is a necessity for a line of defense that is both reactive and predictive. To bridge this gap, Intrusion Detection Systems (IDSes) have come to the forefront of academic and industry research. This paper presents a survey of machine learning applications for intrusion detection systems. In addition to discussing the current state of research for IDSes, the paper also discusses the overarching complications that plague the field today as well as the latest developments in trying to solve those problems. A special focus is given to discussing deep learning, computationally cheap, and distributed techniques to overcome the issues that shallow learning techniques present.
The effects of the performance measurement system debate and cognitive conflict on ambidextrous innovation

Revista de Contabilidade e Organizações Januário José Monteiroa, Ilse Maria Beurena Corresponding author: Tel. +55 (48)3721-3891 E-mail: januariomonteiromonteiro@gmail.com (J. J. Monteiro); ilse.beuren@gmail.com (I. M. Beuren) Universidade Federal de Santa Catarina, Campus Reitor João David Ferreira Lima, s/n Trindade, Florianópolis/SC – 88040-900, Brazil. www.rco. usp.br Journal of Accounting and Organizations Copyright © 2020 FEA-RP/USP. All rights reserved
Analysis of the Active and Reactive Power Transient Responses of a Generic Type 3 Wind Turbine Model

Wind power capacity is considerably growing around the world. Based on such growth and the variable nature of renewable resources, it is necessary to conduct transient stability analyses to plan and maintain network operation, ensuring the integration of not only new installed wind farms, but also of all renewable energy plants. Focusing on the wind industry, Transmission System Operators (TSOs) and Distribution System Operators (DSOs) are two of the main entities interested in these types of analyses, such as the simulation of dynamic wind turbine models which are able to faithfully represent the behavior of actual wind turbines operating nowadays, without the need to work with complex wind turbine models belonging to private companies. The International Electrotechnical Commission (IEC), through the IEC 61400-27-1 standard, is the organization responsible for the development of the generic wind turbine models, which cover the four main topologies of actual wind turbines installed. This paper addresses the implementation and simulation of the generic Type 3 wind turbine model, i.e., the doubly-fed induction generator wind turbine, which is the most technologically advanced and widely installed type of wind turbine. The generic Type 3 wind turbine model will furthermore be studied under both normal and fault conditions, and its transient responses in terms of active and reactive power will be discussed in detail. Keywords—Transient stability analysis, dynamic simulation, DFIG, generic type 3 model, IEC 61400-27-1.
Mastery of Skills 4.0 Effect on The Readiness of College Students in Facing Revolution of Industry 4.0

Received: January 25, 20 Revised: April 30, 20 Available online: June 6, 20 Revolution of industry 4.0 initiated by the German government, starting from the development of individual innovation behavior especially in the fields of robotics, digital technology, and information, has caused distortions to the future skills requirements. Some of the skills needed a lot in the past are now starting to experience a shift towards less needed. Some are even unnecessary because they are replaced by automation and robots. The emergence of several new skills (skills 4.0) that are more dominant is needed to make every interested party to prepare themselves to face the challenges of the revolution of industry 4.0. Students are one of the interested parties who will face the challenges of the revolution of industry 4.0 after they graduates from the formal higher education. This study determines the readiness of students in facing the revolution of industry 4.0, influenced by the mastery of skills 4.0 and individual innovation behavior with their innovation behavior as a mediating variable. Respondents in this study are 233 undergraduate students of the Andalas University. Using a cluster sampling technique, the data is collected using Likert scale basedquestionnaire after which calculations are then performed using the Smart-PLS Program software 3.2. 8. The results show that skills 4.0 and individual innovation behavior have a positive effect on students' readiness in facing the challenges of the revolution of industry 4.0. It implies that the students need to improve their mastery of skills 4.0 in order to prepare themselves to face the challenges of the revolution of industry 4.0.
An Overview and Mechanism for the Coexistence of 5G NR-U (New Radio Unlicensed) in the Millimeter-Wave Spectrum for Indoor Small Cells

In this paper, we first give an overview of the coexistence of cellular with IEEE 802.11 technologies in the unlicensed bands. We then present a coexistence mechanism for Fifth-Generation (5G) New Radio on Unlicensed (NR-U) small cells located within buildings to coexist with the IEEE 802.11ad/ay, also termed as Wireless Gigabit (WiGig). Small cells are dual-band enabled operating in the 60 GHz unlicensed and 28 GHz licensed millimeter-wave (mmW) bands. We develop an interference avoidance scheme in the time domain to avoid cochannel interference (CCI) between in-building NR-U small cells and WiGig access points (APs). We then derive average capacity, spectral efficiency (SE), and energy efficiency (EE) performance metrics of in-building small cells. Extensive system-level numerical and simulation results and analyses are carried out for a number of variants of NR-U, including NR standalone, NR-U standalone, and NR-U anchored. We also analyze the impact of the spatial reuse of both mmW spectra of multiple NR-U anchored operators with a WiGig operator. It is shown that NR-U anchored provides the best average capacity and EE performances, whereas NR-U standalone provides the best SE performance. Moreover, both vertical spatial reuse intrabuilding level and horizontal spatial reuse interbuilding level of mmW spectra in small cells of an NR-U anchored can improve its SE and EE performances. Finally, we show that by choosing appropriate values of vertical and horizontal spatial reuse factors, the proposed coexistence mechanism can achieve the expected SE and EE requirements for the future Sixth-Generation (6G) mobile networks.
Quantifying the Performance of Explainability Algorithms

Given the complexity of the deep neural network (DNN), DNN has long been criticized for its lack of interpretability in its decision-making process. This ’black box’ nature has been preventing the adaption of DNN in life-critical tasks. In recent years, there has been a surge of interest around the concept of artificial intelligence explainability/interpretability (XAI), where the goal is to produce an interpretation for a decision made by a DNN algorithm. While many explainability algorithms have been proposed for peaking into the decision-making process of DNN, there has been a limited exploration into the assessment of the performance of explainability methods, with most evaluations centred around subjective human visual perception of the produced interpretations. In this study, we explore a more objective strategy for quantifying the performance of explainability algorithms on DNNs. More specifically, we propose two quantitative performance metrics: i) Impact Score and ii) Impact Coverage. Impact Score assesses the percentage of critical factors with either strong confidence reduction impact or decision shifting impact. Impact Coverage accesses the percentage overlapping of adversarially impacted factors in the input. Furthermore, a comprehensive analysis using this approach was conducted on several explainability methods (LIME, SHAP, and Expected Gradients) on different task domains, such as visual perception, speech recognition and natural language processing (NLP). The empirical evidence suggests that there is significant room for improvement for all evaluated explainability methods. At the same time, the evidence also suggests that even the latest explainability methods can not produce steady better results across different task domains and different test scenarios.
Utilization of Agro-Wastes to Produce Oyster Mushroom (Pleurotus ostreatus) with High Antioxidant and Antimicrobial Activities

Oyster mushroom (Pleurotus ostreatus) is a good source of bioactive compounds that have numerous health benefits and medicinal properties. In this study, the effect of P. ostreatus cultivation in agro-waste substrates on its potential as a food additive with antioxidant and antimicrobial activities was investigated. Extracts of P. ostreatus cultivated on mixed rice and wheat straws (RS+WS) substrates showed higher total polyphenols (TPC), total flavonoids (TFC),α-tocopherol content, ferric reducing antioxidant power and antibacterial activities than those cultivated on rice straw (RS) alone. The HPLC analysis of their ethanolic extracts revealed 11 phenolic compounds including p-hydroxy benzoic acid, naringenin, kaempferol and apigenin as major compounds. The aqueous and ethanolic extracts of both cultivates showed significant antibacterial activity against Salmonella typhimurium, Escherichia coli, and Staphylococcus aureus, while no inhibitory effect on Bacillus cereus was observed. The results indicated that P. ostreatus cultivation is an effective bioconversion process that is capable to transfer agro-wastes into potentially valuable source of natural antioxidant and antimicrobial additives for further use in functional food products.
Unveiling Comparative Genomic Trajectories of Selection and Key Candidate Genes in Egg-Type Russian White and Meat-Type White Cornish Chickens

Simple Summary The search for genomic regions of putative selective signaling is instrumental in obtaining information about selection history in various species and populations. Domestic animals are subject to long-term artificial selection that leaves certain footprints in their genomes one can explore using genome-wide SNP screen. We examined here genomes of two contrasting chicken breeds, the native egg-type Russian White and meat-type White Cornish. Using three statistics, we identified genomic regions under putative selection, both breed-specific and shared between two breeds, that harbor key candidate genes for economically important traits. Our findings will be useful in further understanding selection history and genomic diversity in domestic chickens that would be pivotal in their productive breeding. Abstract Comparison of genomic footprints in chicken breeds with different selection history is a powerful tool in elucidating genomic regions that have been targeted by recent and more ancient selection. In the present work, we aimed at examining and comparing the trajectories of artificial selection in the genomes of the native egg-type Russian White (RW) and meat-type White Cornish (WC) breeds. Combining three different statistics (top 0.1% SNP by FST value at pairwise breed comparison, hapFLK analysis, and identification of ROH island shared by more than 50% of individuals), we detected 45 genomic regions under putative selection including 11 selective sweep regions, which were detected by at least two different methods. Four of such regions were breed-specific for each of RW breed (on GGA1, GGA5, GGA8, and GGA9) and WC breed (on GGA1, GGA5, GGA8, and GGA28), while three remaining regions on GGA2 (two sweeps) and GGA3 were common for both breeds. Most of identified genomic regions overlapped with known QTLs and/or candidate genes including those for body temperatures, egg productivity, and feed intake in RW chickens and those for growth, meat and carcass traits, and feed efficiency in WC chickens. These findings were concordant with the breed origin and history of their artificial selection. We determined a set of 188 prioritized candidate genes retrieved from the 11 overlapped regions of putative selection and reviewed their functions relative to phenotypic traits of interest in the two breeds. One of the RW-specific sweep regions harbored the known domestication gene, TSHR. Gene ontology and functional annotation analysis provided additional insight into a functional coherence of genes in the sweep regions. We also showed a greater candidate gene richness on microchromosomes relative to macrochromosomes in these genomic areas. Our results on the selection history of RW and WC chickens and their key candidate genes under selection serve as a profound information for further conservation of their genomic diversity and efficient breeding.
Analyzing the drivers of a balanced diet: Evidence from Burkina Faso*

Despite the economic growth achieved by many developing countries, undernutrition is still a widespread problem, with the diet of millions of poor individuals failing to provide adequate amounts of crucial macroand micro-nutrients necessary for the human body. This study examines the correlates of a balanced diet using data from Burkina Faso. In addition to the oftenused Household Dietary Diversity Score (HDDS), the Healthy Food Diversity Index (HFDI) is used to measure household dietary diversity. While the HDDS has been identified as a valid measure of dietary diversity correlated with dietary quality, it has some shortcomings. First, it does not account for the actual quantities of food consumed and, second, it places equal weight on the consumption of different food groups, without accounting for the fact that not all food groups are equally nutritious. The HFDI mitigates this challenge by embedding three critical aspects of a healthy diet ‒number, distribution, and health value of food items. Our estimates confirm that household size, location, sex of household head, durable ownership, production diversity, and market access all are significantly associated with the consumption of a balanced diet. * Potential target journals: Food Policy, Food Security, or Food and Nutrition Bulletin We would like to thank Odilia Bermudez and all staff of the INDDEX Project, which is implemented by the Tufts University Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy with funding from the Bill & Melinda Gates Foundation. All errors are our own responsibility.