Miracle-dz/UniFAR-FTUs huggingface dataset:
Wi-Fi Beacon-Based Localization for Guiding Visually Impaired Persons in Subway Stations

—Indoor localization is a highly studied topic and many methodologies for indoor localization are showing great results in application domains. However, the practical use of Indoor localization is limited by the elements of the technology. Especially, in Wi-Fi beacon-based localization, a service provider either pre-installs Access Points (APs) or pre-collects the ﬁngerprint data from the existing APs. This process can be highly time-consuming or expensive work. This paper proposes a smartphone application to help the navigation of a visually impaired person in a subway station. The application analyzes ﬁngerprint data with multi-layer perceptron to estimate the user’s position and focuses on minimizing pre-data collection for easier and inexpensive service implementation.
Fast, lightweight IoT anomaly detection using feature pruning and PCA

Anomaly detection is a method for identifying malware and other anomalies such as memory leaks on computing hosts and, more recently, Internet of Things (IoT) devices. Due to its lightweight resource use and efficacy, anomaly detection is a promising method to detect malware on small, resource-constrained hosts. Using Principal Component Analysis (PCA) to reduce the features, and hence the dimensionality of the anomaly detector, is common during the feature engineering process of classic machine learning methods, such as Support Vector Machines (SVM). However, as Neural Networks (NN) became more popular, many presumed that using PCA prior to using the data to train and deploy the model was unnecessary. In this work, we show that there is a significant advantage to using PCA for both SVM and NN-based anomaly detection. Doing so improves the performance and efficacy of malware detection models, and reduces the amount of data that needs to be stored on the device for on-device anomaly detection, thus making it useful for resource-constrained IoT devices. We also show that while pruning low-variance features may be an intuitive way to simplify a model, it is less effective than PCA to improve model training and deployment performance as well as model efficacy to detect malware.
Analysis on Algorithm Visualization Study

This paper reports on an ongoing study, which intends to propose a principle of interactive algorithm visualization on hybrid mobile application (INAVOHMA) that is created in order to help IT students learn data structure and algorithm (DSA) subject. Totally, 8 existing AV guidelines and models were reviewed comprehensively with the main purposes (1) to determine the research gaps in proposing principles of INAVOHMA and (ii) to identify their common components. Through a systematic and critical analysis, this study discovers there is still lack of inclusive principles or guidelines of AV that focused on mobile platform, mostly fo r desktop or website platform. Only, two guidelines draw attention to mobile platform, yet the focus of them just for sorting algorithm only. It is noted that this is the research gap that should be the focal point for further study.
ANN based efficient feature fusion technique for speaker recognition

Speaker recognition is an all-important research field that intent to identify speaker using his/her voice utterances. It holds utilities in authentication, forensics voice comparison, mobile banking and security authentication for access control. An effectual feature extraction technique is vital for recognition or classification. In this work, Fused Features Hybrid extraction Technique (FFHT) has been proposed. It comprises features from time, frequency and cepstral-domain. A feed-forward NN model trained by means of Gradient Descent with Momentum function is used for speaker feature classification. Initial results achieved 97.56% regression accuracy, thus show the goodness of FFHT over contemporary techniques.
Human Resources Development and its Impact on The Performance of Individuals in Universities

The study aimed to emphasize the importance of human resources and the need for strategic direction in their development in universities, as one of the main pillars of achieving excellence, and to arrange human resources development strategies in universities, Emphasizing the need for the university to use modern management methods in the development of its human resources-engineering the performance of the university and measuring the quality of the human resources performance, revealing the reality of human resources development in universities and the strategies adopted in them, and identifying strategies that can raise the level of performance of the university. There is a relationship of statistical significance at a moral level 0.05. There is a relationship of statistical significance at a moral level 0.05. Between the organizational learning strategy and the performance of human resources in the universities in question. There is a relationship of statistical significance at a moral level 0.05. There are statistically significant differences at a moral level 0.05, Among the respondents of the study sample refers to both the variable of sex and function, in the impact of human resources development on the performance of individuals in universities. Between the training strategy, organizational learning, development (organizational, management and career development) and career creativity, and that there are no statistically significant differences at the moral level 0.05, On the impact of the human resources development strategy on the performance of individuals in universities belongs to the gender variable, functional, and that there is a strong correlation with statistical significance at the moral level 0.05, Between the training strategy and the performance of human resources in universities, and that there is a strong correlation with statistical significance at a moral level 0.05, Between the organizational learning strategy and the performance of human resources in universities, and that there is a strong correlation with statistical significance at a moral level 0.05, Between the development strategy and the performance of human resources in the University, and that there is a strong correlation with statistical significance at a moral level 0.05. The study noted the need for the university to research and focus on the extent to which trainees benefit from training programs.
Rear Seat Occupant Protection: What Do We Know and What is the Future?

Field data analyses have shown that the occupant protection in rear seats failed to keep pace with the advances in front seats likely due to their low occupancy and the lack of advanced safety technologies. This study provided a comprehensive literature review on rear seat occupant protection addressing the different needs for a diverse population, ranging from children in harness restraints to adults with a wide range of stature, age, and body shape. Based on the findings from field data analyses, experimental studies, and computational simulations, rear seat safety can be improved by properly using age-appropriate child restraints and introducing adjustable/advanced/adaptive features into the rear seat restraint systems. However, the lack of biofidelic injury assessment tools for children, older, and/or obese occupants will be one of the major challenges for further improving the rear seat safety. The increased proportion of older and obese populations, the growth of lightweight vehicles, the popularity of smart-phone-based ride service, and the advances in active safety technology and autonomous vehicles will likely increase the significance of rear seat safety but at the same time will pose additional challenges. All these trends suggested that more efforts on optimizing rear seat restraint systems adapting to a wide range of impact conditions, occupant characteristics and sitting postures are necessary in the future.
From Bureaucratic-Centralism Management to School Based Management: Managing Human Resources in the Management of Education Program

Indonesia‘s education system used to be a centralized and bureaucratic mode as introduced by the Dutch as the colonial power. However, after the fall of Suharto‘s administration in May 1998, the Indonesian education policy has significantly transformed from centralization to decentralization which is popularly known as school-based management (SBM). This change is because of the arrival of the Law No.22/1999 (later reviewed by the Law 32/2004) about ―Local Government‖ (provinces and districts). The purposes of this paper are first to discuss the characteristics of school-based management and the practices of SBM and second, to explore the motives of Indonesian government to apply school-based management in education in the digital era. The orienting question for this study is: Are all school-levels actors and district level actors ready for dealing with the characteristics of school-based management and the practices of SBM? Recommendations for education policy reform in the digital era in Indonesia for good governance are discussed, particularly the motives to move from bureaucratic-centralism management to school-based management.
Implementing a Palm Plant Functional Type and Hurricane

Jiaying Zhang, Rafael L. Bras, Marcos Longo, Tamara Heartsill Scalley 4 School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States 5 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States 6 Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States 7 USDA Forest Service, International Institute of Tropical Forestry, Río Piedras, PR, United States. 8 Correspondence to: Jiaying Zhang (jiaying.zhang@gatech.edu); Rafael L. Bras (rlbras@gatech.edu) 9
A SURVEY ON UTILITY MINING

In present world the utility mining has come up to the existence and rule the whole world. Each and every field had learned to implement the utility mining to get a very quick response and move their fields in a successful way. Utility mining is defined as that identify the itemsets with highest utilities, by considering profit, quantity, cost or other user preferences. Mining High Utility itemsets from a transaction database is to find itemsets that have utility above a user-specified threshold. The main and important work of utility mining is to identify the frequent itemset i.e. which has the high pattern in a given dataset. This paper reveals the idea that utility can be applied in a medical field and in the field of agriculture. This is an interesting factor that the diseases can be diagnosed by taking the highest itemset of people’s frequent symptoms they occurred when they are affected. In another way it also helps to predict the best drugs that the patient need to take. Then the utility mining is used to know that the most visited websites.
Intraday Optical Multiband Observation of BL Lacertae

We observed BL Lac in the B, V, R, and I bands with an 85 cm telescope on nine nights from 2019 September 18 to 2019 December 6. More than 2300 data points were collected. All intraday light curves were examined for variations by using the most reliable power-enhanced F-test and the ANOVA test, and intraday variability was found on five nights. Thanks to our high precision and high temporal resolution data, two key discoveries were made in the following analyses. (1) In addition to the strong bluer-when-brighter behavior on most nights, we observed a color reversal that is rarely found in BL Lac objects. This indicates that there are two different energy distributions of injected electrons on this night. (2) The object traced clockwise loops on the color–magnitude diagrams on one night. These are the first intraday spectral hysteresis loops reported in the optical bands in this object, suggesting interband time lags. We estimated the interband lags by using the ZDCF, ICCF, and JAVELIN, and found the variations in the V and R band lagged that in the B band by about 16 and 18 minutes, respectively. Such optical time lags are expected if the acceleration timescale is much shorter than the cooling timescale.
Implementation of IoT for Smart Cities

The Internet of Things (IoT) is a cutting-edge technology that allows a variety of digital devices with various sensing, actuation, and processing capabilities to connect to the Internet, resulting in a multitude of new services in the context of a smart city. Smart city efforts are being enabled all around the world thanks to enticing IoT technologies and big data analytics. These services are increasing the quality of life in cities by upgrading infrastructure and transportation systems, reducing traffic congestion, and providing waste management. We create a taxonomy in this article to best present a generalised overview of the IoT paradigm for smart cities, integrated ICT, network kinds, potential prospects, and significant requirements. In addition, an overview of current standard-setting activities is provided.
Discovery of Novel Trans-Ancestry and Ancestry-Specific Gene Loci for Total Testosterone in a Multi-Ancestral Analysis of Men in the Million Veteran Program

Utilizing data from the Million Veteran Program (MVP), we investigated the genetic determinants underlying total testosterone levels via a multi-ancestral analysis of 124,593 individuals of European (n=88,385), African (n=25,235) and Hispanic (n=10,973) ancestry. We identified 46 trans-ancestry variants and 17 ancestry-specific variants, of which 14 trans-ancestry variants and 15 ancestry-specific variants are novel associations with testosterone. Results implicate genes regulating testosterone shared across ancestral groups, which include SHBG, JMJD1C, FXR2, SENP3, TNFSF12-TNFSF13 while also implicating genes such as MSN, DMD, VSIG4, CHEK2, TKTL1 that may underlie ancestry-group differences in testosterone regulation. We also linked testosterone variants on the X chromosome with differential risk of chronic kidney disease and hereditary hemolytic anemias in African and Hispanic ancestry groups, respectively. Lastly, we constructed a polygenic score from our 46 trans-ancestry variants and associated it with testicular dysfunction, hyperlipidemia, gout and prostate cancer with stronger prostate cancer associations in Hispanic and African ancestry groups compared to the European ancestry group. These findings provide insight into ancestry-specific androgen regulation and identify novel variants for disease risk stratification in patients.
Complete Genome Sequence of Aeromonas hydrophila Bacteriophage BUCT552

We report the complete genome sequence of Aeromonas hydrophila bacteriophage BUCT552 whose full length of the linear dsDNA genome is 59,685 bp and (G+C) % content is 60.0%. It contains 74 open reading frames but no tRNA. The results of TEM showed BUCT552 is a member of the family Siphoviridae. ABSTRACT We report the complete genome sequence of Aeromonas hydrophila bacteriophage BUCT552 whose full length of the linear dsDNA genome is 59,685 bp and G+C content is 60.0%. It contains 74 open reading frames but no tRNA. The results of TEM showed BUCT552 is a member of the family Siphoviridae.
High Estimated Glomerular Filtration Rate Is Associated With Worse Cognitive Performance in the Hypertensive Population: Results From the China H-Type Hypertension Registry Study

Background Increasing studies have focused on the predictive value of high estimated glomerular filtration rate (eGFR) on cardiovascular diseases and mortality; however, the association between high eGFR with cognitive function is still not established. Thus, this study aimed to determine the co-relationship between high eGFR and cognitive performance in the hypertensive population. Methods We conducted a baseline cross-sectional study using data from the China H-type Hypertension Registry study. Mini-Mental State Examination (MMSE) assessment was performed to evaluate the cognitive function scale, and serum creatinine was collected to estimate eGFR level. Different MMSE cutoff values were applied in participants with the various educational background to define dementia: <24 in participants with secondary school and above education setting, <20 in those with primary school, and <17 in illiterate participants. Results A total of 9,527 hypertensive adults with mean age 63.7 ± 9.8 years and 67% female gender were analyzed. The eGFR cutoff value of 71.52 ml/min/1.73 m2 was found after adjusting for potential covariates in a threshold effect analysis. The MMSE increased significantly with the increment of eGFR (β, 0.27; 95% CI: 0.12–0.41) in participants with eGFR < 71.52 ml/min/1.73 m2 and decreased (β, −0.28; 95% CI: −0.39 to −0.17) in participants with eGFR ≥ 71.52 ml/min/1.73 m2. Individuals with eGFR ≥ 85 ml/min/1.73 m2 have an elevated risk of cognitive impairment than those with eGFR of 65–75 ml/min/1.73 m2. Subgroup analysis showed that a greater reduction degree of MMSE was observed in female individuals and those who had body mass index (BMI) ≥ 24 kg/m2 among participants with eGFR ≥ 71.52 ml/min/1.73 m2. Conclusion Our findings observed an inverted U-shaped relationship between eGFR and cognitive function. Both the low and high levels of eGFR were independently associated with worse cognitive assessment in the hypertensive population.
Requirements Smells como Indicador de Qualidade para Histórias de Usuários: Estudo Exploratório

Resumo. Os métodos ágeis transformaram a maneira como os softwares são desenvolvidos. Neste contexto, um dos artefatos mais utilizados para a escrita de requisitos são as Histórias de Usuários. No entanto, Histórias de Usuários mesmo sendo simples de escrever, podem ser acometidas de sintomas de má qualidade gerando, por exemplo, ambiguidade, problemas de estimativa e de negociação. Neste contexto, alguns trabalhos investigaram fatores de qualidade que devem estar presentes na escrita das Histórias. No entanto, nas pesquisas até o momento não encontramos trabalhos que investigam os tipos de sintomas de maus usos da escrita que impactam os Fatores de Qualidade. Este estudo, verifica se Requirements Smells, um conjunto de indicadores de qualidade na escrita, podem ser aplicados para detecção de sintomas de má qualidade na escrita de Histórias de Usuários. Os resultados obtidos no Estudo Exploratório, atestam que o uso de Requirements Smells é adequado para detecção de sintomas de má qualidade na escrita de Histórias de Usuário comprometendo assim os seus Fatores de Qualidade.
Uma Análise dos Valores Pessoais de Profissionais de Tecnologia da Informação

: The objective of this article is presenting an analysis of the personal values of a sample of Information Technology professionals, aiming to understand the values’ hierarchy and its correlations, using the motivational types proposed by Schwartz as a basis. The main results demonstrate that the individuals prioritize characteristics of conservation and self-transcendence, aiming aspects like self-determination and estimulation, valuing intelligence, capability, freedom and independence. Resumo: O objetivo deste artigo é apresentar uma análise dos valores pessoais de uma amostra de profissionais que atuam na área de Tecnologia da Informação, buscando compreender a hierarquia dos valores e a relação entre eles, usando como base os tipos motivacionais proposto por Schwartz. Os principais resultados o trabalho demonstram que os indivíduos priorizam aspectos de conservação e autotranscendência, buscam auto-realização através da auto-determinação e estimulação, valorizando inteligência, capacidade, liberdade e independência.
RiskFree - Uma Ferramenta de apoio à Gerência de Riscos em Projetos de Software

In this paper, we present a flexible risk management tool - RiskFree. It is designed to help project managers and their teams to manage, monitor, and control risks in software development projects by easily adapting to the organizational needs. Furthermore, it conforms to the risk management process practices of the CMMI model level three.
Engenharia de Requisitos Ágil: Extensão de uma Revisão Sistemática da Literatura

Nowadays, the daily routine of software engineers is determined by agile methods practices, motivating questions about how to adopt a more ﬂexible and dynamic Requirements Engineering (RE), distinct from the traditional model. What makes suitable to exploring the advances of agile RE in diverse and challenging environments. Therefore, this paper aims on identifying and understanding the current scenario regarding practices and techniques within Agile RE, as well as its challenges and lessons learned. An extension of a systematic literature review study was conducted to carry out this analysis and the evidence is synthesized from sources published between 2017 and 2020. In addition, the work delivers a compiled of practices, observing the diﬀerent contexts of projects and organizations.
Partially covered self-expandable metal stent with antimigratory single flange plays important role during EUS-guided hepaticogastrostomy

Background and study aims Stent migration into the abdominal cavity, which can occur due to stent shortening or stomach mobility, is a critical adverse event (AE) in EUS-HGS. To prevent this AE due to stent shortening, a novel, partially covered self-expandable metal stent with an antimigratory single flange has recently become available in Japan. The present study evaluated the clinical feasibility and safety of EUS-HGS using this novel stent. Patients and methods We measured stent length in the abdominal cavity and the luminal portion after EUS-HGS using computed tomography (CT) performed 1 day after EUS-HGS (early phase). To evaluate stent shortening and the influence of stomach mobility, we also measured stent length at the same sites on CT performed at least 7 days after EUS-HGS (late phase). Results Thirty-one patients successfully underwent EUS-HGS using this stent. According to CT in the early phase, stent length in the abdominal cavity was 7.13 ± 2.11 mm and the length of the luminal portion was 53.3 ± 6.27 mm. Conversely, according to CT in the late phase, stent length in the abdominal cavity was 8.55 ± 2.36 mm and the length of the luminal portion was 50.0 ± 8.36 mm. Stent shortening in the luminal portion was significantly greater in the late phase than in the early phase ( P = 0.04). Conclusions CT showed that stent migration can occur even with successful stent deployment, due to various factors such as stent shortening. The antimigratory single flange may be helpful to prevent stent migration, but further prospective comparative studies are needed to confirm our results.