Miracle-dz/UniFAR-FTUs huggingface dataset:
On being sane in insane places – war Rosenhan ein Schwindler?

lichkeiten zu beschreiben. Damit zeigt er beispielhaft auf, wie auf Basis der gesetzlichen Grundlagen passgenaue zielgruppenspezifische Konzepte gestaltet werden können. Neben den Assistenzleistungen zur persönlichen Lebensplanung, zur Gestaltung sozialer Beziehungen in den verschiedensten Zusammenhängen, für die allgemeinen Erledigungen des Alltags wie die Haushaltsführung oder das Zubereiten von Mahlzeiten werden Assistenzleistungen zur Teilhabe am kulturellen und gemeinschaftlichen Leben genauso bedacht wie zur Sicherstellung der ärztlichen und ärztlich verordneten Leistungen. Letztere umfassen beispielsweise auch die Assistenz zur Gesundheitsfürsorge. Aufgezeigt wird damit erstmals eine Möglichkeit zur Umsetzung der in der S3-Leitlinie Psychosoziale Therapien bei schweren psychischen Erkrankungen der DGPPN formulierten Empfehlung zu gesundheitsfördernden Interventionen im Rahmen des BTHG. In Ergänzung werden Voraussetzungen für die Umsetzung von Assistenzleistungen als zentrale Leistungen zur Teilhabe am Leben in der Gesellschaft auf organisatorischer Ebene benannt und mögliche Sonderformen wie z. B. das betreute Wohnen in Gastfamilien als milieubezogene Assistenzleistung skizziert.
Deep Learning for the Prediction of Temperature Time Series in the Lining of an Electric Arc Furnace for Structural Health Monitoring at Cerro Matoso S.A. (CMSA)

Cerro Matoso SA (CMSA) is located in Montelibano, Colombia. It is one of the biggest producers of ferronickel in the world. The structural health monitoring process performed in the electric arc furnaces at CMSA is of great importance in the maintenance and control of ferronickel production. The control of thermal and dimensional conditions of the electric furnace aims to detect and prevent failures that may affect its physical integrity. A network of thermocouples distributed radially and at different heights from the furnace wall, are responsible for monitoring the temperatures in the electric furnace lining. In order to optimize the operation of the electric furnace, it is important to predict the temperature at some points. However, this can be difficult due the number of variables which it depends on. To predict the temperature behavior in the electric furnace lining, a deep learning model for time series prediction has been developed. Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), and other combinations were tested. GRU characterized by its multivariate and multi output type had the lowest square error. A study of the best input variables for the model that influence the temperature behavior is also carried out. Some of the input variables are the power, current, impedance, calcine chemistry, temperature history, among others. The methodology to tune the parameters of the GRU deep learning model is described. Results show an excellent behavior for predicting the temperatures 6 h into the future with root mean square errors of 3%. This model will be integrated to a software that obtains data for a time window from the Distributed Control System (DCS) to feed the model. In addition, this software will have a graphical user interface used by the operators furnace in the control room. Results of this work will improve the process of structural control and health monitoring at CMSA.
Examining CEOs’ Business Model Schemas: A Cognitive Mapping of Differences Between Industry Insiders and Outsiders

At the level of a cognitive schema, a business model is a mental map of a firm’s value-creating, value-delivering, and value-capturing activities and the linkages between them. An important question in the study of business models as cognitive schemas is whether and how schemas differ across industry actors and whether the differences are connected to the variation observed in actual business models in the industry. This chapter examines, in particular, the ways in which business model schemas of industry insiders differ from those of industry outsiders. Using data from interviews with chief executive officers (CEOs) of 30 legal-tech firms, we graphically construct and analyze the CEOs’ schemas of important causal interdependencies between their firms’ activities. The analysis shows systematic differences between insiders and outsider CEOs’ schemas. We theorize that these differences underlie insider and outsider CEOs’ distinct approaches to opportunity recognition, expertise perception, and value framing, and have consequences for actual business model evolution in the industry.
Adoption of Google Forms for Enhancing Collaborative Stakeholder Engagement in Higher Education

: Adopting Information and Communications Technology (ICT) in Education is essential in 21 st century to support, enhance, and optimise the delivery of information. ICT tools makes the education simpler and vibrant to all parts of the nation. Higher Education involves various stakeholders with multiple roles due to which collecting and analysing the responses is challenging task for the coordinators. Google Forms as part of ICT tools are used in data collection for various course registration/responses by the organizations. These collective help in authenticity, visualization and official timestamp. This paper highlights role of Google Forms used for conducting various surveys at RV College of Engineering. The process was enhanced using ICT for data collection from various stakeholders with the concept of anytime, anywhere. It was made flexible and streamlined through google forms by importing the responses from google forms in required file format for analysis and provide overall insights to all stakeholders in higher education.
Genome-wide profiling identification of prognostic novel signatures in papillary renal cell carcinoma based on large-scale sequencing data

Background : This study aims to identify potential biomarkers with prognostic value in papillary renal cell carcinoma (PRCC) by combining protein interaction networks with gene expression profiles from multiply cohorts. Methods : Two microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database and differentially expressed genes (DEGs) were identified based on standardized labeling information. The protein-protein interaction network (PPI) and functional annotations of DEGs was established and the modules were analyzed by using STRING and Cytoscape. Survival analysis of significant DEGs was analyzed by Kaplan-Meier comprehensive expression score in the Cancer Genome Atlas (TCGA) cohort. Receiver operating characteristic (ROC) curves were constructed to describe binary classifier value of genes using area under the curve (AUC) score. Additionally, immunohistochemical staining of PTTG1 protein was performed, and survival analysis was validated in Fudan University Shanghai Cancer Center (FUSCC) cohort. Results : A total of 473 DEGs and 38 functionally related hub genes were identified as candidate prognostic biomarkers. Eight genes, including BUB1B , CCNB1 , CCNB2 , MAD2L1 , TTK , CDC20 , PTTG1 and MCM, enrichment with cell cycle process were identified for further analysis. Statistical analysis of TCGA cohort indicates that expression level of the eight genes was higher in PRCC tumor tissues and was negatively correlated with patient's outcome. Significantly elevated PTTG1 expression and its negative correlativity with patient's outcome was validated in FUSCC cohorts. Conclusions : Expression levels of eight hub genes have strong prognostic value and may help better understand the potential carcinogenesis and develop targeted therapy strategies for PRCC.
An Exploratory Analysis of Factors Associated with Low Risk Perception for Developing Type 2 Diabetes amongst Low-income, Primarily Latina Women with prior Gestational Diabetes Mellitus

Background: Gestational diabetes mellitus (GDM) is a significant contributor to the development of diabetes (DM2) post-partum, with higher rates amongst low-income and Latina women. Understanding one’s risk perception for developing DM2 postpartum amongst women with GDM can help target preventive interventions that promote positive health behaviors and lifestyle changes. This study aims to assess how the interplay of individual level factors, healthcare based factors, and structural factors influence risk perception for developing DM2 amongst low-income, primarily migrant Latina women with recent gestational diabetes mellitus. Methods: Data is from the baseline assessment of the STAR MAMA intervention. Women (N=171) receiving prenatal care at low-income urban clinics in San Francisco Bay Area were surveyed for basic demographics, healthcare access, and health-related behaviors. The outcome variable, risk perception for developing DM2 post-partum, was measured using the RPS-DM tool. Associations between risk perception for developing DM2 and individual, health-care based and structural (eg. health insurance, food insecurity, educational attainment) covariates were estimated using descriptive statistics and logistic regression. Results: Although all participants had a high risk for subsequently developing DM2, 76% reported lower risk perception for developing diabetes within the next 1, 5, and 10 years. Migrant status, less than high school education, and food insecurity were associated with lower risk perception (p<0.05). Spanish-speaking women with GDM who did not have family histories of DM2 were at greatest risk of underestimating their DM2 risk (OR=6.5; CI= (1.149, 11.795)). On the other hand, Spanish-speaking women who had family histories of DM2 were more likely to correctly assess their DM2 risk (OR=0.16; CI= (0.031, 0.824)). Conclusions: Structural and individual factors, rooted in migrant status and cultural backgrounds, influence personal risk perception. The majority of high-risk GDM women in this sample underestimate their risk for developing diabetes. This poses an opportunity for the healthcare system to improve patient-provider communication to improve risk perceptions and motivation for behavioral risk reduction. Improved counseling regarding risk perception for vulnerable, migrant populations with GDM is critical to accurately convey risk and engage individuals in preventive behaviors. Trial Registration: The clinical trial registration number is: NCT02240420 and date of registration: 9/11/2014.
Mixed Learning Styles: A Strategy for Team Formation

: The emphasis of this work is to analyse and assess a cohort of students’ perspectives on team learning practices in activity-based learning approach. This activity was implemented in Linear Control Systems course. The motivation for this work is the authors’ experience in teaching the course in previous iteration. It was observed that some teams performed exceedingly well, and a few others struggled to complete the activity. We believe that the reason for this was that the team formation was random. Team learning emphasizes interaction between students ‘through peer-to-peer learning, which strengthens the ability of a student to solve problems better. The authors felt there is an opportunity to explore the following research question: Does working in teams formed with mixed learning styles enhance student learning? In order to form teams, students underwent Index of Learning Styles Questionnaire by Richard M. Felder and Barbara A. Soloman. A common problem statement on modified Load-Frequency control model of an isolated power system area, to be operated with a controller was given student teams. Section-A comprised of 16 teams and Section-B had 13 teams, each team involving members with different learning styles. A pre-test and post-test were conducted to know the change in conceptual understanding. The post-test results indicate improvement in conceptual understanding. This is also validated by the ANOVA test with a 5% level of significance. From this study, it is observed that, strategic team formation is considered as a favourable approach for augmenting students’ learning.
Beyond Diffusion of Improved Technologies to Promoting Innovation Creation and Information Sharing for Increased Agricultural Productivity: A Case Study of Malawi and Kenya

For several decades, various sub-Saharan Africa governments have been proactive in revamping their agricultural extension service delivery systems through establishment and revisions of their agricultural extension policies. Despite the existence and implementation of these policies, productivity in small holder farms in these countries is still low several years later. The need to enhance agricultural production is still cited as a challenge, with low adoption of improved technologies being found as the major contributing factor. This study used a qualitative approach to examine farmers’ perceptions regarding the role of extension agents in the diffusion of innovations and its implications on sustainable agricultural development in Malawi and Kenya. Increased focus on using agricultural extension as an improved technology dissemination tool was found to be one of the factors contributing to low agricultural productivity. This among others was as result of failure by extension to tap valuable information, useful knowledge, skills and resources which was found to be available among farmers in both countries. The findings imply farmers no longer value their local knowledge and are uncomfortable sharing it amongst themselves. However, addressing the challenge of low agricultural productivity (heavily impacted by climate change) in these countries requires a shift in approach when delivering agricultural extension services. These changes include the use of interactive Information and Communication Technologies (ICTs) to solicit feedback and input from farmers and to enhance the two-way communication process.
Prevalence of Alcohol Consumption among Primary and Secondary School Adolescents in Obiaruku Community in Delta State, Southern Nigeria

Consumption of alcohol by underage teenagers and adolescents is a major public health problem confronting many developing countries including Nigeria. Studies have shown the increasing rate of alcohol consumption among these high risk groups. The objective of the study was to determine the prevalence of alcohol use among Primary and Secondary School teenagers in Obiaruku Community. The study employed a descriptive cross sectional study among pupils and students in primary and secondary schools in Obiaruku community. The study utilized random sampling technique in selecting 326 pupils and students from both primary and secondary schools in Obiaruku community. The instrument for data collection was a semi-structured questionnaire. The collected data was analysed with SPSS version 21 and presented in percentages and frequencies, with Chi-Square used to analysed association between demographic characteristics and prevalence of alcohol with level of significance set at P<0.05. The findings show that almost half of the respondents 150(46.88%) were between the ages of 13-15 years and 220(68.75%) were males. The prevalence of alcohol consumption was 25.0%, with being a male more likely to increase alcohol consumption (P<0.05). Furthermore, about 20(25.0%) of the respondents could not stop drinking when they want to and more than one third do get drunk. Furthermore, age showed a significant relationship with use of alcohol (p<0.05). The study showed prevalence of alcohol consumption among the respondents and therefore recommended schools should organize seminars for students to provide education on the health-related issues surrounding alcohol consumption.
Context-aware Smart Home Berbasis Internet of Things : Tinjauan Pustaka

Setiap orang menginginkan keamanan dan kenyamanan di rumahnya, sebab keamanan dan kenyamanan hal yang sangat penting. Untuk itu diperlukan sebuah sistem keamanan untuk menjaga kenyamanan rumah dari tindakan pencurian, kebakaran, ataupun bahaya lainya yang dapat mengganggu keamanan dan kenyamanan rumah tersebut. Context Aware Smart Home merupakan istilah bagi smart home yang mempunyai kecerdasan untuk melakukan otomasi perangkat rumah berdasarkan konteks dari penghuni tersebut. Paper ini bertujuan mengevaluasi dua fitur utama smart home yaitu remote access dan home automation untuk menunjang context aware smart home systems . Artikel ini disusun dengan menerapkan metode analisis kritis terhadap literatur yang dipublikasikan sejak 2006 hingga 2018 dalam jurnal maupun prosiding berbahasa Indonesia dan Inggris. Sebagai tindak lanjut penelitian di masa depan, artikel ini mengusulkan dikembangkannya rancangan sistem smart home berbasis Internet of Things yang menjadi solusi menjaga keamanan dan kenyamanan rumah. Berbagai fitur perancangan ini mempertimbangkan kapabilitas Wemos sebagai pengontrol utama sistem context-aware smart home. Kata Kunci : Context-aware smart home, Internet of Thing
Hepatitis B Virus Can Be Sensed by STING-dependent DNA Sensors but Suppresses the DNA Sensing Pathway in Humans with Acute and Chronic Hepatitis B Virus Infection

Background : With the discovery of stimulator of interferon genes (STING) in 2008, many intracellular molecules have been identified as STING-dependent DNA sensors in recent years. Studies show the DNA sensor-STING-IFN-β pathway plays an important role in defense against viral infections. However, the recognition of hepatitis B virus (HBV) by DNA sensors is still largely unclear. In this study, we aimed to investigate the role of STING-dependent DNA sensors in HBV infection. Methods: The expression of these DNA sensors in PBMCs from patients with acute and chronic HBV infection was analyzed by quantitative real-time PCR. The cellular source of the upregulated DNA sensor and the response of the corresponding sensing pathway in PBMCs from HBV-infected patients were also investigated. Results: The expression of interferon gamma inducible protein 16 (IFI16), DEAD-box polypeptide 41 (DDX41), meiotic recombination 11 homolog A (MRE11), and STING were upregulated in chronic HBV-infected patients, whereas only IFI16 expression increased in acute HBV-infected patients. However, no IFN-β induction was observed in PBMCs in either acute or chronic HBV-infected patients. We next found IFI16 was mainly expressed in monocytes from acute and chronic hepatitis B patients. By stimulation of monocytes with VACV ds 70mer, an agonist ligand for IFI16, we confirmed the suppressed response of the IFI16-STING pathway in chronic HBV infection. Conclusions: Our results suggest that HBV can be sensed by DNA sensors in PBMCs in both acute and chronic HBV-infected patients and meanwhile actively counteract the DNA sensing pathway in PBMCs, which may facilitate the persistence of HBV infection.
Multi-Style Migration QR Code

Quick Response(QR) code is a two-dimensional code that can be quickly recognized by a portable mobile device. It has played more and more important role in e-commerce, manufacturing, marketing and daily life. Therefore, the visual aesthetics of QR code is a significant performance that should be improved. Many proposed methods for beautifying QR code have good result. For the purpose of enhancing vision effect, simplifying complexity and improving robustness. In this paper, we propose a strategy which can be used to generate multi-style art QR code. Particularly, this strategy is capable of transferring more than one artistic styles to an art QR code. Aiming at visual smoothing, we adopt a method to generate the modified systematic encoding aesthetic QR code. In order to migrate multi-style, we improve a neural style migration network to suit the aesthetic QR code style migration tasks. Simultaneously, we propose a error-correction method to enhance the robustness of multi-style migration QR code which is generated by neural style migration network.
Workplace Spirituality as an Antecedent of University Teachers' Subjective Well-Being: Mediating Role of Job Satisfaction and Job Performance

There is a need to measure how university teachers' think and feel about their lives, especially when the work environment is dynamic and ever-changing. In this study, the scholar explores workplace spirituality's association with the teachers' subjective well-being directly and also indirectly through teachers’ job satisfaction and job performance. Data were collected through survey instrument from 395 teachers' working for various private engineering institutions located in the states of Telangana and Andhra Pradesh. Results showed a relationship between workplace spirituality and subjective well-being directly, although the path coefficient was weak. Interestingly, the results discovered the positive and significant indirect relationship between workplace spirituality and subjective well-being through teachers’ job satisfaction and job performance. The papers aim was to explore conceptually the role of spirituality contributing to University teachers’ satisfaction with life as a whole, which is essentially the teachers’ subjective well-being. The present study is probably one of its kind to explore the relationship between workplace spirituality and subjective well-being not only directly but also indirectly through job satisfaction and job performance. The outcomes of the study offer valuable insights and inputs for future research in the niche area of workplace spirituality. The implications of the study have been discussed in greater detail in the appropriate section.
Improving Teaching Process Through Technology-Enhanced Instruction for Electrical Machines Course

: The use of technology in the classroom has been a regular practice in the 21 st century learning as compared to the traditional teaching and learning. However, the technology has been identified as a separate set of knowledge by most of the instructors in their pedagogical practice which is causing problems in effective teaching and learning. This article describes the process of using the conceptual framework of Technological Pedagogical and Content Knowledge (TPACK) which integrates the knowledge of educational with an instructor’s knowledge of pedagogy and course content, to technologically enhance a sophomore-level undergraduate electrical machines course. Concept map tool has been used to integrate and demonstrate the effective utilization of TPACK in the classroom teaching. The effective teaching learning process for the Electrical Machines course has been observed in this paper by designing a course website. The information in the paper will impact the effective integration of technology in teaching and learning process.
Exponential phase of covid19 expansion is driven by airport connections

18 The pandemic state of COVID-19 caused by the SARS CoV-2 put the world in 19 quarantine, led to hundreds of thousands of deaths and is causing an unprecedented 20 economic crisis. However, COVID-19 is spreading in different rates at different 21 countries. Here, we tested the effect of three classes of predictors, i.e., socioeconomic, 22 climatic and transport, on the rate of daily increase of COVID-19. We found that global 23 connections, represented by countries’ importance in the global air transportation 24 network, is the main explanation for the growth rate of COVID-19 in different 25 countries. Climate, geographic distance and socioeconomics had a milder effect in this 26 big picture analysis. Geographic distance and climate were significant barriers in the 27 past but were surpassed by the human engine that allowed us to colonize most of our 28 planet land surface. Our results indicate that the current claims that the growth rate of 29 COVID-19 may be lower in warmer and humid tropical countries should be taken very 30 carefully, at risk to disturb well-established and effective policy of social isolation that 31 may help to avoid higher mortality rates due to the collapse of national health systems. 32 33