Miracle-dz/UniFAR-FTUs huggingface dataset:
Overcoming the toxic influence of subtle messaging: Utah women who persist in stem.

It is important to train more females to support the needs of a national and global economy workforce. The purpose of this thesis is to explore the proposition of the effect subtle messaging has on a Utah young woman’s future career choice. The literature review will approach the science, technology, engineering, and math (STEM) subjects with historical, psychological, and cultural vantage points. An examination of three interconnected topics of research will include a history of women in the workforce and identified barriers to STEM education and careers to identify what types of messages are delivered to women as it relates to STEM and how it influences their career interest decisions. While there are historical barriers towards women in training for and entering STEM careers, no strong evidence is identified for sustained improvement. The changing concepts of social cognitive career theory can potentially provide a framework for constructivist assumptions regarding the topic of what can focus Utah young women learners to influence their own career development and surroundings to persist into STEM careers. Interpretative Phenomenology Analysis (IPA) provides increased understanding of the experiences of how Utah young women come to their decision and what role their environment contributes to that experience. Preliminary research outcomes demonstrate that the participants describe feelings of self-efficacy along with cultural expectations that do not align with their personal goals to enter into STEM education and careers.
Hepatitis B Virus Genotypes, Epidemiological Characteristics, and Clinical Presentation of HBV Chronic Infection in Immigrant Populations Living in Southern Italy

Background: Information on hepatitis B virus (HBV) genotypes in immigrant populations living in Italy is scanty. Objectives: The current study aimed at assessing the epidemiological and clinical need to detect HBV genotypes in immigrants with HBV infection. Methods: A multicenter screening was performed in 5 first-level care facilities centers in Southern Italy to identify migrants with HBV infection. Hepatitis B surface antigen (HBsAg)-positive subjects were further investigated at a tertiary unit of infectious diseases. Results: Of the 1727 investigated immigrants, 170 (9.8%) were HBsAg-positive. These 170 subjects, prevalently males (86.5%), aged 31.0 ± 8.5 years and living in Italy for nearly 2.5 years, prevalently (80%) from sub-Saharan Africa. HBV DNA was detected in 113 (66.5%) and HBV genotypes in 109 subjects: genotype E in 69.9%, genotype A in 16.5%, genotype D in 11.9%, and genotype C in 2.7%. Genotype E was detected in 70 (83.3%) out of 84 migrants from sub-Saharan Africa and in 5 from the other areas. Of these 75, 16% were hepatitis B e antigen (HBeAg)-positive and none circulated anti-hepatitis D virus (HDV); 69.3% were inactive HBV carriers, 22.7% had chronic hepatitis and 8% cirrhosis with multifocal hepatocellular carcinoma (HCC) in 2 patients. Half of the 18 subjects with genotype A, prevalently from sub-Saharan Africa (61%), were inactive HBV carriers, 7 had chronic hepatitis, and 1 had liver cirrhosis. Of the 13 subjects with genotype D, prevalently from Eastern Europe or India-Pakistan subcontinent, 8 were HBV inactive carriers and 5 had chronic hepatitis. Conclusions: The data indicated the need to extend HBV screening and vaccination programs to all immigrants from areas of intermediate or high HBV endemicity.
Specialist sexual violence social work: Ensuring good practice

INTRODUCTION: This research sought to understand social workers’ perspectives on good practice in specialist sexual violence social work practice in Aotearoa New Zealand. METHODS: In 2018, five registered social workers engaged in semi-structured interviews focused on good practice social work in the field of sexual violence. FINDINGS: The use of therapeutic social work, along with an extensive skill set and knowledge base were identified as fundamental for sexual violence social work. Boundaries and the development of broad self-care practices were recognised as crucial components of good practice. CONCLUSIONS: The findings from this study offers links between the field of sexual violence and social work practice, while also indicating the need for future research.
A Parametric Study of the Acoustic Performance of Resonant Absorbers Made of Micro-perforated Membranes and Perforated Panels

Sound absorbing surfaces are being increasingly requested for the acoustical treatment of spaces, like offices and restaurants, where high aesthetic standards are requested. In these cases, perforated and micro-perforated panels may represent the ideal solution in terms of low maintenance, durability, and mechanical resistance. In addition, such a solution might be conveniently realized while using optically transparent panels, which might offer extra value, as they could ensure visual contact, while remaining neutral in terms of design. The paper first investigates the reliability of prediction models by comparison with measured data. Subsequently, while taking advantage of a parametric optimization algorithm, it is shown how to design an absorber covering three octave bands, from 500 Hz to 2 kHz, with an average sound absorption coefficient of about 0.8.
RNA binding protein hnRNP-U is required for physiological hypertrophy of skeletal muscle

Skeletal muscle has the remarkable ability to modulate its mass in response to physiological changes associated with nutritional input, functional utilization, systemic disease, and age. A decreased responsiveness to anabolic stimuli is thought to contribute significantly to the loss of skeletal muscle mass and strength associated with sarcopenia, however the molecular mechanisms precipitating this are unclear. The signal transduction pathways that control the relative balance between anabolic and catabolic processes are tightly regulated at the transcriptional and post-transcriptional levels. Alternative splicing produces multiple protein isoforms from a single gene in a cell-type-specific manner and in response to environmental cues. We show that sustained activation of Akt1 in Hnrnpu deficient mice leads to premature muscle wasting, in part, through impaired autophagy while providing mechanistic insights into the development of anabolic resistance.
Speech Enhancement Based on Constrained Low-rank Sparse Matrix Decomposition Integrated with Temporal Continuity Regularisation

Speech enhancement in strong noise condition is a challenging problem. Low-rank and sparse matrix decomposition (LSMD) theory has been applied to speech enhancement recently and good performance was obtained. Existing LSMD algorithms consider each frame as an individual observation. However, real-world speeches usually have a temporal structure, and their acoustic characteristics vary slowly as a function of time. In this paper, we propose a temporal continuity constrained low-rank sparse matrix decomposition (TCCLSMD) based speech enhancement method. In this method, speech separation is formulated as a TCCLSMD problem and temporal continuity constraints are imposed in the LSMD process. We develop an alternative optimisation algorithm for noisy spectrogram decomposition. By means of TCCLSMD, the recovery speech spectrogram is more consistent with the structure of the clean speech spectrogram, and it can lead to more stable and reasonable results than the existing LSMD algorithm. Experiments with various types of noises show the proposed algorithm can achieve a better performance than traditional speech enhancement algorithms, in terms of yielding less residual noise and lower speech distortion.
Block.ino: Remote Lab for Programming Teaching and Learning

This article introduced the remote lab Block.Ino to support the teaching and learning of computer programming. In a remote lab user work with equipment or devices and observe activities through a web camera. The validation was performed in order to understand the acceptance of the services and resources available. It was performed in two scenarios where Block.Ino was employed to perform practical online activities. Questionnaires were applied that sought the perception of the respondents about their experience using the remote laboratory. The questionnaires included items related to usability, learning perception, usefulness and satisfaction, by the two focus groups of the research (presential higher education and basic education). 144 students participated in the research (103 high school and 41 higher education). The average scores for the 24 items, arranged on a Likert scale of 5 (-2 to 2) points, were 1.58 for high school and 1.43 for higher education. The results showed that Block.Ino can bring benefits to practical activities in introductory computer programming disciplines, especially outside the classroom environment, by taking advantage of existing connectivity, and by using mobile devices to perform practical activities. Keywords— Teaching and learning, Programming teaching, Remote laboratory, Block.ino.
Experimental Estimates of Optical Backscattering Associated With Submicron Particles in Clear Oceanic Waters

The volume scattering functions for bulk and two submicron size fractions (passing through 0.7 μm GF/F and 0.2 μm membrane filters) were measured in the North Pacific Ocean using a LISST‐VSF to assess the contributions by submicron particles to the overall particle scattering. The contribution by submicron particles increased generally with scattering angle and peaked around 110°. The total backscattering by both submicron fractions did not vary, but that by larger particles increased, with the trophic level. Consequently, the fractional backscattering contribution by submicron particles decreased from approximately 50% to 30% as the chlorophyll‐a concentration increased from <0.1 to 0.3 mg m−3. Despite the experiment covering a limited range of trophic levels, our results confirm that backscattering by submicron particles in clear ocean waters is significant and seems to form a background independent of the backscattering by larger particles.
Dwell Time Estimation Using Real-Time Train Operation and Smart Card-Based Passenger Data: A Case Study in Seoul, South Korea

Dwell time is a critical factor in constructing and adjusting railway timetables for efficient and accurate operation of railways. This paper develops dwell time estimation models for a Shinbundang line (S line) in Seoul, South Korea using support vector regression (SVR), multiple linear regression (MLR), and random forest (RF) techniques utilizing archived real-time metro operation data along with smart card-based passenger information. In the first phase of this research, the collected data are processed to extract boarding and alighting passenger counts and observed dwell times of each train at all stations of the S line under the current operational environment. In the second phase, we develop SVR, MLR, and RF-based dwell time estimation models. It is found that the SVR-based model successfully estimates the dwell times within 10 s of differences for 84.4% of observed data. The results of this paper are especially beneficial for autonomous railway operations that need constructing and maintaining dynamic railway timetables that require reliable dwell time predictions in real-time.
Mining the Dark Web: A Novel Approach for Placing a Dark Website under Investigation

— In the last two decades, illicit activities have dramatically increased on the Dark Web. Every year, Dark Web witnesses establishing new markets, in which administrators, vendors, and consumers aim to illegal acquisition and consumption. On the other hand, this rapid growth makes it quite difficult for law and security agencies to detect and investigate all those activities with manual analyses. In this paper, we introduce our approach of utilizing data mining techniques to produce useful patterns from a dark web market contents. We start from a brief description of the methodology on which the research stands, then we present the system modules that perform three basic missions: crawling and extracting the entire market data, data pre-processing, and data mining. The data mining methods include generating Association Rules from products’ titles, and from the generated rules, we infer conceptual compositions vendors use when promoting their products. Clustering is the second mining aspect, where the system clusters vendors and products. From the generated clusters, we discuss the common characteristics among clustered objects, find the Top Vendors, and analyze products promoted by the latter, in addition to the most viewed and sold items on the market. Overall, this approach helps in placing a dark website under investigation.
Building And Hosting A Computer Vision API On AWS Using An EC2 Instance

This paper aims to propose a methodology to host a Computer Vision API that can recognize and classify various objects in a particular image on Amazon Web Services (AWS) using Amazon Elastic Cloud Compute (EC2) instances. The images that were used to train our deep learning model were collected from different sources. The API takes an input image from the user and generates an output of the object present in the image and its most abundant color. In order to run Python scripts via the web, the RESTful API protocol has been used. Before developing the API, a Web App was developed and tested locally using Flask. The final end product is able to detect objects present in images and determine the most abundant color in the frame of the image.
Clinical Correlates of Attendee Patients in Psychiatric Day Care: A Multiple Correspondence Analysis

目的：探討精神科日間照護病房住院病人出席率與相關的預測因子。 方法：利用病歷回顧方式收集自2015 年1 月至2016 年12 月於基隆長庚醫院精神科日間照護病房住院病人病歷，收集分析資料包括人口學變項（性別、年紀、教育程度）、轉介方式、日間照護病房組別、住院時間、診斷、過去住院次數、環境因素（至日間照護病房所需的時間、轉乘公共交通工具的班數）、認知功能與行為功能的評估結果，並以多元對應分析法進行統計分析以了解可能影響出席率的變項。 結果：截切點為5% 的前提下，可整理出七種組合的維度，第三和第四維度可解釋大部分的變異數（各為47. 6% 和63. 1%）。 在第三維度中，不佳的出席率與鬱症 (p ＜ 0.001)、女性 (p ＜ 0.001)、認知功能障礙 (p ＜ 0.001)、較短通勤時間 (p ＜ 0.001)、少於兩班的轉乘次數 (p ＜ 0.05)、及在2015 年住院 (p ＜ 0.05) 有顯著的相關。 在第四維度中，出席率佳 與2015 年後住院 (p ＜ 0.001)、干擾行為少 (p ＜ 0.01)、物質使用障礙症 (p ＜ 0.01)、轉介自門診 (p ＜ 0.05)、及中年 (p ＜ 0.05) 有顯著的相關。 結論：不佳的日間病房出席率與鬱症、女性、認知功能障礙、居住處離日間病房較近、長期住院、年齡較小以及有明顯的干擾行為相關。
MPP: A Novel Algorithm for Estimating Vehicle Space Headways from a Single Image

Vehicle space headway, also called spacing, is an important and basic traffic parameter. Traditional space headway calculation methods are facing the problems of large errors and high costs. This paper presents a novel algorithm based on measurement point pairs (MPPs) to estimate the real-time microcosmic vehicle space headway from single images in existing traffic surveillance videos and images without any additional equipment. First, the camera is calibrated with road markings to obtain the relationship between the image coordinates and the world coordinates. Second, vehicle pairs of two successive vehicles in the image are established, measurement points on each vehicle are selected by video intelligence analysis technologies, and their world coordinates are calculated by camera calibration results. Finally, the measurement points of the preceding and following vehicles are matched to obtain the MPPs, followed by the calculation of the weighted space headway. By using the measurement point information, one of the most difficult problems in image distance measurement, the lack of height information, is solved. The main factors causing estimation errors are fully addressed and the range and trend of errors under certain conditions are given by virtual simulation. Two real-world experiments are used to prove the accuracy and usability of the MPP in common video scenes: the simulation experiment indicates that the MPP algorithm achieves a high accuracy with estimation error less than ±0.1 m and the relative error within 1.1%; the application experiment shows that the MPP-based calculation is more accurate and stable than the state-of-the-art distance measurement algorithm and that the convenience of the proposed MPP algorithm is higher than that of traditional methods of space headway estimation.
Analysis of Influence of Ship Roll on Ship Power System with Renewable Energy

Renewable energy ship was regarded as one of the ship energy technologies with a good prospect. In order to study the application of solar and wind energy on ships in the marine environment and the impact of ship rolling on the system, the feasibility of applying solar energy and wind energy to ships was analyzed, and the structural composition of ship power system incorporating renewable energy source was studied. The model of the ship power system integrated with renewable energy was built in PSCAD/EMTDC simulation software. The layout of wind power generation system and photovoltaic power generation system was given for the actual ship, and the ship parameters and specific parameters of each simulation module were determined. It can be seen that the rolling of ship will cause fluctuations in the grid-connected power of the photovoltaic power generation system and the wind power generation system from the comparison of the simulation curves. Finally, a simulation experiment is provided to prove the access of the battery can well suppress the grid-connected power fluctuation caused by the rolling of the ship, which has an important impact on the stability of the ship power system with renewable energy.
Factors influencing consumers' rejection to smartphone transactions in the lodging industry

PurposeThe main purpose of this study is to investigate what affects a customer's decision to use the hotel smartphone applications when he/she makes a room reservation.Design/methodology/approachA total of 266 usable data was collected through an online survey. The research model was tested using confirmatory factor analyses and structural equation modeling.FindingsThis study revealed that perceived usefulness, perceived credibility, perceived equipment risk, and perceived change risk affected customers' intention to book a hotel room using hotel smartphone apps. Perceived ease of use did not have a significant effect on behavioral intention.Originality/valueThis study extended TAM and the existing literature of mobile technology in the lodging industry. This article explored both existing variables and new variables in studying customers' intention to use hotel smartphone apps when booking a hotel room.
Fortifying pork liver mixture: Evaluation of protein quality and iron bioavailability – Part 2

1 Pontifícia Universidade Católica de Campinas, Centro de Ciências da Vida, Faculdade de Nutrição. Av. John Boyd Dunlop, s/n. , Jd. Ipaussurama, 13060-904, Campinas, SP, Brasil. Correspondência para/Correspondence to: SM SREBERNICH. E-mail: <srebernich@uol.com. br>. 2 Pontifícia Universidade Católica de Campinas, Centro de Ciências da Vida, Faculdade de Farmácia. Campinas, SP, Brasil. 3 Universidade Federal de São Paulo, Instituto de Saúde e Sociedade, Departamento de Políticas Públicas e Saúde Coletiva. Santos, SP, Brasil. Fortifying pork liver mixture: Evaluation of protein quality and iron bioavailability – Part 2
Anti-carbamylated protein antibodies in rheumatoid arthritis patients are reactive to specific epitopes of the human fibrinogen β-chain

In this issue of Arthritis & Rheumatology , Jones et al. aim to identify the presence of immunodominant epitope(s) within human fibrinogen in regards to the anti-carbamylated protein antibodies (ACarPA) reactivity in rheumatoid arthritis (RA) patient sera.
THE PROBLEM OF CHILDHOOD OBESITY AND THE RESPONSIBILITY OF PRIMARY CARE PROVIDERS: A REVIEW

Obesity rates are at epidemic levels throughout the world, and this concerning trend has not been exclusive to adults. Throughout the world, the prevalence of childhood obesity has risen to epidemic proportions over the last fifty years. These children are at high risk for multiple comorbidities affecting all organ systems. In addition to the concerning impacts on health, the obesity-related costs and burdens of healthcare on society are staggering. While the problem is becoming increasingly recognized, much is needed to be done to protect America’s youth from growing obesity rates. As proponents of children’s health, it is thus the responsibility of primary care providers to understand, prevent, recognize, and manage childhood obesity. Article DOI: https://dx.doi. org/10.20319/lijhls.2017. 32.0114 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
Developing a measure of informed choice in cancer screening

The principle of informed choice has recently become incorporated into cancer screening policy. However, there has been limited empirical or theoretical work on informed choice in this particular context. The main aim of this thesis is to develop an instrument/approach that could be used to measure informed choice in both research and service settings. The principal research question is, 'What are the key domains of informed choice in cancer screening, and how best can they be measured? ' Systematic reviews were undertaken to identify the relevant qualitative and quantitative studies. A qualitative study (nine focus groups and 15 individual interviews) was undertaken with people who had different experiences of screening (for breast, cervical or colorectal cancer). The purpose of the study was to identify the key domains of informed choice. Data from the qualitative study were used to define the items in the questionnaire. The questionnaire was piloted initially by sending it to a sample of 150 screening invitees and 54 replied (36%). It was then further refined and sent to 1292 people who had been invited to participate in one of the three types of screening. Of these, 553 returned a completed questionnaire (43%). Findings from the systematic reviews suggested that lay people define and conceptualise informed choice differently from researchers and policy makers. These findings were substantiated in the data from the qualitative study. The study also found that information on the disease was as important to people as information on the risks and limitations of screening. However, information may have little part to play in the choices people make. It may have more impact on outcomes such as satisfaction and anxiety. Analysis of the questionnaire data found that people had limited knowledge of the risks and consequences of screening. In addition, perceived informedness was strongly predicted by attitudes rather than the knowledge of the risk and benefits. High levels of knowledge were not a predictor of the level of choice people had. The main policy reason for promoting informed choice is to enhance autonomy and to prevent people being deceived or coerced. However, this research shows that the provision of evidence-based information alone does not necessarily mean that an informed choice is made. People may not read, want, or understand the information, and, additionally, people may not be able to carry out their intended choice. For example, people may feel that they do not have the choice to refuse screening, even though they might wish to do so. Moreover, there may be personal barriers, such as physical or mental health problems and language, or organisational barriers, such as the availability of the service/intervention and access. This research identifies the complexity of the relationship between information and choice, revealing a number of reasons why the concept of 'informed choice' requires more subtle understanding in the context of cancer screening.