Miracle-dz/UniFAR-FTUs huggingface dataset:
The centrality of motivation in psychosocial functioning: Network and bifactor analysis of the Quality of Life Scale in first-episode psychosis.

Psychosocial functioning impairment is prevalent in first-episode psychosis and chronic schizophrenia. The Quality of Life Scale (QLS) is a widely used tool to measure psychosocial functioning; however, given the overlap between negative symptoms and functioning, along with the QLS being conceptualized initially as a measure of the deficit syndrome, it is unclear whether summing QLS items into a total score is an appropriate measure of overall psychosocial functioning. This study aimed to examine the centrality of QLS items and the appropriateness of using a QLS total score. Participants with first-episode psychosis (n = 404) completed the QLS. Item centrality was assessed using a network analysis approach, while reliability and dimensionality of the QLS total score and subscales were measured using bifactor modeling and related psychometric indices. Network analysis results showed that an item relating to motivation was the most central item within the scale. Moreover, bifactor modeling results found that motivation and other items relating to negative symptoms may reflect the QLS total score more strongly than other functioning (i.e., Interpersonal, Instrumental) domains. Based on these findings, we urge researchers to use caution when using a QLS total score, as it may unequally confound functional domains and motivation. Moreover, our results continue to underscore the importance of negative symptoms, particularly motivational impairment, in psychosocial functioning. Future studies should aim to examine the centrality of other functioning measures in psychosis and schizophrenia, as our results suggest that psychosocial functioning may be greatly influenced by motivation. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Comments on “Analytical expression for electrical efficiency of PV/T hybrid air collector” by S. Dubey, G.S. Sandhu, and G.N. Tiwari

In this short communication, a theoretical attempt has been made and the analytical expression developed by Dubey, Sandhu, and Tiwari [2009. “Analytical Expression for Electrical Efficiency of PV/T Hybrid air Collector. ” Applied Energy 86: 697–705. ] for temperature-dependent electrical efficiency of air type PV/T collector has been corrected. The analyses have indicated that their efficiency expression only considers the effects of solar intensity. However, it is unequivocal from the governing equations that the ambient temperature is another variable that should be in the efficiency expression as an initial condition of the energy balance equation of flowing air. Although they asserted that the electrical efficiency of the system has been evaluated with respect to the variations in solar intensity and ambient temperature for a typical day in the month of April 2008 for New Delhi condition, the results clearly show that the ambient temperature has not been taken into account in their study. Their expression not including a term for ambient temperature proves our statement. In the present work, the corrected version of the efficiency expression is given.
Effects of economic policy uncertainty on energy demand: evidence from 72 countries

ABSTRACT This paper examines the effects of economic policy uncertainty on final energy consumption per capita in the panel dataset of 72 countries from 1960 to 2016. Economic policy uncertainty is captured by the World Uncertainty Indices (WUI). We firstly utilize the panel unit root tests with cross-sectional dependence to confirm the stationarity of the series. Secondly, we run various estimation techniques, such as fixed-effects, random-effects, and feasible generalized least squares. The results indicate that income is positively related to energy demand. However, a higher energy price decreases energy consumption, and the WUI is also negatively associated with energy consumption. These findings are robust to exclude the oil-exporter and the Organisation for Economic Co-operation and Development countries from the panel dataset. Finally, the Machado-Santos Silva quantile regression estimations show that the related effects of the income, energy price and the WUI on energy demand are valid at the different quantiles.
A New Process for On-Chip Inductors with High Q-Factor Performance

A novel technological method to improve the quality factor (Q) of RF-integrated inductors for wireless applications is presented in this paper. A serious reduction of substrate losses caused by capacitive coupling is provided. This is realised by removing the oxide layers below the coils with optimized underetching techniques. This special etching procedure is used to establish an environment in the inductor substructure with very low permittivity. A set of solid oxide-metal-columns placed below the metal windings stabilize the coil and prevent the hollowed out structure from mechanical collapse. The oxide capacitance is lowered significantly by the reduction of the permittivity 𝜀r from values around 4 to nearly 1. Capacitive coupling losses into substrate are decreasing in the same ratio. The resulting maximum Q-factors of the new designs are up to 100% higher compared to the same devices including the oxide layers but shifted significantly to higher frequencies. Improvements of Q from 10 up to 15 have been obtained at a frequency of 3 GHz for a 2.2 nH inductor with an outer diameter of 213 𝜇m. The resonance frequency (𝑓res) and frequency at maximum Q (𝑓(𝑄max)) are shifted to higher frequencies, caused by the shrunk total capacitance of the structure. This enables the circuit designer to use the inductors for applications working at higher frequencies. Coils with different layouts and values for inductance (L) were verified and showed similar results.
Determinants of Technology Innovations in the Indigenous Textile Weaving Industry: An Empirical Analysis

The study examined the factors influencing technology innovations in the indigenous small scale textile weaving firms in southwestern Nigeria. Data for the study were collected through questionnaire and unstructured interview from a purposive sample of 300 firms out of the population of 1,200 in the study area. The survey instruments include questionnaire and interview of some respondents’. The questionnaire elicited information on factors affecting innovations. The results revealed that there are internal and external factors which affect product, process and organisational innovations in the industry. Internal factors are entrepreneurial orientation and firm level resources such as formal and informal education; knowledge and skills available within the firms; technical and managerial experience; and years of experience in business. External inputs to technology innovations are customer’s preference; information disseminated through textile associations; hiring of qualified personnel and market research. Other external sources are from suppliers of machinery and equipment; attendance at seminars, training and conferences; and imitation of the innovations of other firms. The major obstacles to innovations are lack of knowledge and skills; shortage of skilled personnel in the firms; high costs of production and financial constraints; economic and market uncertainty; lack of basic infrastructure and government regulations. The study concluded that technology innovations in the firms could be more enhanced through acquisition of appropriate technical skills, training for knowledge acquisition and interaction with R&D institutions.
The Use of Video Annotation in Education: A Review

Abstract: Video annotation (VA), a tool which allows commentaries to be synchronized with video content has recently received significant research attention in education. However, the application contexts of these studies are varied and fragmented. A review was therefore undertaken with the objectives to find out the extent to which the use of VA has been explored for different instructional purposes and summarize the potential affordances of VA in supporting student learning. Articles related to the use of VA in education context were searched from 2011 to 2020 (Nov). Of the final 32 eligible studies, it was found that VA tools were used predominantly to develop teaching practices, enhance learners’ conceptual understanding of video content and develop workplace skills as well as clinical practices. Five most dominant educational affordances of VA tools were summarized as follows: (1) facilitating learners’ reflection (2) facilitating feedback process (3) enhancing comprehension of video content (4) promoting students’ learning satisfaction and positive attitude and (5) convenience and ease. With the outstanding weight of research evidence gained on educational affordances offered by VA, it is convincing that advancing the use of VA in education can further expand the learning opportunities in 21st century classrooms. Keywords: Affordances, Education, Feedback, Learners’ reflection, Video annotation
Seismic fragility assessment of masonry buildings in the Kurdistan region

The collapse of building structures during recent earthquakes, particularly in the countries around the Kurdistan region (KR), including Turkey (2011 Van earthquake) and Iran (2003 Bam earthquake), has raised many questions about the safety of existing buildings in the region and structures that are going to be constructed in the future. The KR, which is located in northern and northeastern Iraq, is also considered to be the most hazardous region of Iraq. However, many buildings in the region, especially unreinforced masonry (URM) buildings, were not engineered to withstand seismic loads. The seismic vulnerability assessment of these types of buildings in this region is a necessary step towards the development of regional seismic retrofitting and pre-disaster mitigation plans. Fragility analysis is often used for this purpose and to graphically represent a structure’s seismic vulnerability in terms of fragility curves. Considering that there are several important uncertainties involved in such an analysis and after developing and proposing seismic zonation maps, response spectra and the seismic zone factor Z for the KR, the results of analytical fragility analyses of URM buildings in the KR indicated that the correct selection of a ground-motion intensity measure (IM) is the most important variability involved in assessing the fragility of URM buildings. The results suggest that the variability in the mechanical parameters of materials can be neglected because the variability of ground motion is considerably more substantial. Furthermore, the use of incremental dynamic analysis (IDA) and a well-selected IM allows fragility curves to be derived with only a few records (i.e., a minimum of 7 records) with the same performance as for with numerous records (i.e., 60 records). Moreover, the pronounced difference in the results when using only one IM vs. using two IMs cannot be ignored; hence, fragility surfaces are preferred over the more commonly used fragility curves. Furthermore, a framework based on using machine learning models (i.e., a wrapper-based approach) for the optimal selection of an IM for developing fragility curves is proposed in this study. The feasibility of the wrapper method for selecting the best IM is compared to a statistical regression (log-logistic regression) used to develop fragility curves and the results were encouraging. Finally, the outcomes of the study indicate that the seismic safety of the investigated low-rise buildings in the region is questionable and that these structures must be strengthened to prevent failure.
Swallowing disorders in patients with obstructive sleep apnea: a critical literature review

ABSTRACT Patients with obstructive sleep apnea (OSA) may show signs and symptoms of altered swallowing function since repetitive episodes of OSA may cause hypoxia (decreased oxygen concentration in the blood) and hypercapnia (increased carbon dioxide concentration in the blood), as well as neuromuscular changes in the tissues involved, including the pharynx. This study aims to analyze whether patients with OSA show signs and symptoms of altered swallowing function. A literature search was performed in the PubMed, LILACS, Medline, Scopus, and SciELO databases by using the following search strategy: (“dysphagia”) or (“deglutition disorders”) and (“obstructive sleep apnea”) or (“obstructive sleep apnea syndrome”). The included articles were sorted by authors, year, country, journal of publication, and type of study, as well as analyzed according to the objectives, case series, OSA and swallowing assessment methods, results and conclusions. After applying the inclusion and exclusion criteria, ten articles published in medicine, dentistry and physiology journals between 1999 and 2018 were selected. The analysis of the selected articles showed that the number of participants and group structuring vary according to the study and instrumental and objective exams are used to assess swallowing and sleep in most articles. Also, the results show that groups of patients with OSA can present altered swallowing reflex, altered latency time and inspiratory suppression time, and presence of premature posterior escape, residues, penetration and aspiration. Premature posterior escape was the most frequent sign found. In conclusion, patients with OSA may show signs and symptoms of altered swallowing function.
Sphere anemometer - a faster alternative solution to cup anemometry

We present an anemometer technique characterized by an instrument in a sealed enclosure without moving parts. Measurements taken with our improved sphere anemometer in comparison to cup anemometer and hot-wire anemometer data subjected to wind gusts are discussed. The hot-wire anemometer serves as a reference with high temporal and spacial resolution. A manually driven gust generator produced gusts at low frequencies of about 1Hz. All measurements were carried out in the wind tunnel at the University of Oldenburg.
Assessment of Breast Cancer Immunohistochemical Properties with Demographics and Pathological Features; A Retrospective Study

Background: Breast cancer is considered the most common malignant disease in the female population. It is known as an emerging epidemy with a great burden on women's health, which can be associated with poor outcomes. Some factors including histological type, immunohistochemistry (IHC), tumor grade, and tumor size can have effects on breast cancer. Objectives: This study aimed at assessing the effects of mentioned factors on IHC type of breast cancer. Methods: This retrospective cross-sectional study was conducted on 142 patients, who were referred to one of the referral centers for breast cancer in Mashhad. Information including age, histological type, familial history, menopause status, tumor grade, tumor size, and IHC properties was collected from the patient’s medical records. Allred score was used for reporting hormonal status. The data were analyzed by version 26 of SPSS software. Results: The mean age of patient was 50.2 ± 12.7. The frequency of luminal A and luminal B type was calculated as 29.7 and 18.9%, respectively. In addition, triple-negative IHC type has a prevalence of 24.3% and HER2 had a prevalence of 27%. There were no significant differences between age (P = 0.34), familial history (P = 0.42), menopause (P = 0.36), histological type (invasive: P = 0.11, in situ: P = 0.45), and IHC properties. However, tumor diameter (P = 0.0001) and tumor grading (P = 0.002) had significant association with IHC properties. Conclusions: Factors including tumor size and pathological grade can have effects on the gene expression properties of breast cancers. Luminal IHC type A is more common in breast cancer and is associated with better outcomes. However, age, histological type, familial history, and menopause status had no effects on the IHC properties of breast cancer.
Reengineering claims processing using probabilistic inductive learning

With health care costs in the United States skyrocketing, and $. 25 of every health care dollar being spent on systems and claims administration, technological advances such as electronic claims filing are being advocated as cost-reducing measures. These improvements alone, however, will not significantly reduce costs unless they are accompanied by revisions in the entire claims processing system. This study explores the reliability and utility of probabilistic inductive learning (PrIL), a statistically enhanced decision tree algorithm, for improving the decision-making process at the New York State Workers' Compensation Board (WCB). Results indicate that the PrIL algorithm is favorably comparable to both the purely statistical and the classical decision tree methodologies, with the added advantages of easy to understand rules and user-defined reliability measures for each of those rules. Given the appropriate information regarding the relative value of correct and incorrect classification of cases in the WCB system, PrIL can be used to accurately assist in the decision making process in terms of reducing cost, predicting and enhancing quality and case outcomes in managed care practices.
STUDI EXPLANATORY BRAND EXPERIENCE, BRAND SATISFACTION DAN BRAND TRUST TERHADAP BRAND LOYALTY PADA GLOBAL AUTOMOBILE BRAND JENIS MPV DI SURABAYA

Tujuan dalam penelitian ini adalah untuk mengetahui, menganalisis dan membuktikan pengaruh dari: Brand Experience, Brand Trust, dan Brand Satisfaction dalam membangun Brand Loyalty pada Global Automobile Brand jenis MPV di Surabaya. Target populasi dalam penelitian ini adalah responden yang memiliki mobil merek global jenis MPV di Surabaya . Karakteristik populasi yang ditetapkan adalah responden yang pernah membeli dan menggunakan mobil merek global jenis MPV minimal 1 tahun terakhir, membeli atas inisiatif pribadi dan bukan dari hadiah dari pihak tertentu, serta berdomisili di kota Surabaya, dengan jumlah sampel sebanyak 215 responden yang diperoleh dari 5 kali jumlah indikator penelitian. Data diolah dengan menggunakan Structural Equation Modeling (SEM). Hasil penelitian ini menunjukkan bahwa Brand Experience berpengaruh signifikan terhadap Brand Satisfaction dan Brand Trust , namun Brand Experience tidak berpengaruh terhadap Brand Loyalty . Hasil penelitian juga menemukan bahwa variabel Brand Satisfaction dan Brand Trust berpengaruh signifikan terhadap Brand Loyalty.
THE IMPACT OF CASH HOLDING ON DEBT COST

This paper seeks to highlight the potential relationship that could exist between cash holding and the cost of debt. It also tries to underline the effect of the control block moderator and of operating risk on this relationship. The study was conducted on a sample of 100 French companies listed in the SBF120 index over a 5-year period. In general, the results are conclusive in all cases. However, the holding of cash has a negative and statistically significant effect. This result confirms the H 1 hypothesis. In other words, the more liquidity the company retains, the lower the cost of debt. This relationship is confirmed by the arbitrage pricing theory according to which, above a certain threshold, the debt increases the risk of financial distress resulting from the direct costs associated with administrative and judicial orders in case of bankruptcy and indirect costs linked to a loss of credibility with the partners and especially with its creditors. To deal with this risk, firms are required to retain liquidity.
Blood Glucose Measurement Using Bioimpedance Technique

Bioimpedance measurement is gaining importance in wide field of bioresearch and biomedical systems due to its noninvasive nature. Noninvasive measurement method is very important to decrease infection and physical injuries which result due to invasive measurement. This paper presents basic principle of bioimpedance along with its application for blood glucose analysis and effect of frequency on impedance measurement. Input from bioimpedance sensor is given to amplifier and signal conditioner AD5933. AD5933 is then interfaced with microcontroller LPC1768 using I2C bus for displaying reading on LCD. Results can also be stored in database using UART interface of LPC1768.
A Deep Content-Based Model for Persian Rumor Verification

During the development of social media, there has been a transformation in social communication. Despite their positive applications in social interactions and news spread, it also provides an ideal platform for spreading rumors. Rumors can endanger the security of society in normal or critical situations. Therefore, it is important to detect and verify the rumors in the early stage of their spreading. Many research works have focused on social attributes in the social network to solve the problem of rumor detection and verification, while less attention has been paid to content features. The social and structural features of rumors develop over time and are not available in the early stage of rumor. Therefore, this study presented a content-based model to verify the Persian rumors on Twitter and Telegram early. The proposed model demonstrates the important role of content in spreading rumors and generates a better-integrated representation for each source rumor document by fusing its semantic, pragmatic, and syntactic information. First, contextual word embeddings of the source rumor are generated by a hybrid model based on ParsBERT and parallel CapsNets. Then, pragmatic and syntactic features of the rumor are extracted and concatenated with embeddings to capture the rich information for rumor verification. Experimental results on real-world datasets demonstrated that the proposed model significantly outperforms the state-of-the-art models in the early rumor verification task. Also, it can enhance the performance of the classifier from 2% to 11% on Twitter and from 5% to 23% on Telegram. These results validate the model's effectiveness when limited content information is available.
On-state distortion in high electron mobility transistor microwave and RF switch control circuits

The origin of the distortion generating mechanism in microwave and RF control circuits using high electron-mobility transistors (HEMTs) is presented in this paper. A model is presented for predicting the distortion in series-connected HEMT switches. The theoretical discussion shows that turn-off voltages in the range of 1.0-1.5 V provide the lowest distortion in series switch configurations. A comparison of the HEMT snitch with MESFET switches shows that the HEMT switch generates more distortion than its MESFET counterpart. In addition, the frequency response of HEMT switches is the opposite of the MESFET switch, with less distortion at low frequencies. The model is validated with experimental data taken on a AlGaAs/GaAs HEMT in the series switch configuration.
Users of transport modes and multimodal travel behavior : Steps toward understanding travelers' options and choices

Results are presented from analysis of individual mode choice behavior in the longitudinal section in Germany. The findings show that about half of German drivers also use public transport. Because they use different modes, they can be characterized as multimodals. This group will constitute an increasing share of the public transport clientele in coming decades because the decline of captive public transport riders is foreseeable. Therefore it is necessary to understand multimodal behavior because in an environment where travelers have increasing options, it is important to know how they make use of their options. It was found that multimodals employ public transport for specific purposes, whereas the car is universal. Less than 20% of multimodals use public transport on a regular basis, for example, to commute. Most multimodals use it occasionally. Multimodals opt for public transport in specific situations because it is the better option and not because there is no car available. Although for families .