Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of the Psychometric Properties of the Holland Sleep Disorders Questionnaire in the Iranian Population

Background Assessing sleep disorders and understanding their causes are essential for the proper treatment and management of the disorders. The Holland Sleep Disorders Questionnaire (HSDQ) is a self-assessment questionnaire that measures sleep problems and symptoms based on the six categories of sleep disorders described in the International Classification of Sleep Disorders-2 (ICSD-2). The aim of this study was at validating and assessing the psychometric properties of the HSDQ in Iranian adults. Method The study was carried out as a methodological and validation work. The guidelines for translation and cultural adaptation of patient-reported outcome measures were followed for the translation and the cultural validation of the tool. To examine construct validity, exploratory factor analysis (EFA) with 216 participants and confirmatory factor analysis (CFA) with 355 participants were used. As to the reliability, the test-retest method and, as to internal consistency, Cronbach's alpha were employed. Data analyses were done in SPSS-25 and LISREL-8. Results The CFA and EFA results confirmed the tool with six factors and 31 items. The R2 index of the model was 0.99, which indicated that 99% of changes in the dependent variable (adults' sleep problem) were attributed to the independent variable (the 31 items). In other words, 0.99 of the changes in the dependent variable were due to the independent variables. The main indices of CFA (χ2/DF = 2.65, CFI = 0.91NNFI/TLI = 0.92GFI = 0.81, REMSEA = 0.043, R2 = 0.99) were acceptable. In addition, a correlation coefficient below 0.05 was considered as significant. Reliability of the tool based on internal correlation (Cronbach's alpha) was in the 0.701–0.924 range for the subscales and equal to 0.789 for the whole tool. Conclusion In general, the results showed that the Farsi version of HSDQ (six factors and 31 items) had acceptable and applicable indices and it can be used as a valid tool in the Iranian society. The tool can be used as a reliable tool in different fields of medical sciences.
Distributed Robust Secondary Control Strategy for AC Microgrids With Bounded Disturbances

In AC microgrids, distributed generators (DGs) play an important role in energy conversion. The distributed secondary control method not only needs that the frequency of all DG units converge to the reference information, but also satisfies the overall control objective of active power sharing, simultaneously. However, under the influence of external bounded disturbances and some uncertain factors, the insufficiency of anti-disturbances ability has always been a pain point. Therefore, a distributed robust secondary control strategy with exponential consensus speed is designed, which can effectively resist bounded disturbances and realize fast exponential convergence. Lastly, the effectiveness of the control algorithm is validated through simulations of multiple scenarios, and the advancement is demonstrated by comparing it with the classic method.
Unveiling the Effect of Solvents on Crystallization and Morphology of 2D Perovskite in Solvent-Assisted Method

Controlling the crystallographic orientations of 2D perovskite is regarded as an effective way to improve the efficiency of PSCs based on 2D perovskite. In this paper, five different assistant solvents were selected to unveil the effect of solvents on crystallization and morphology of 2D perovskite in a solvent-assisted method. Results demonstrated that the effect of Lewis basicity on the crystallization process was the most important factor for preparing 2D perovskite. The stability of the intermediate, reacted between the solvent and the Pb2+, determined the quality of 2D film. The stronger the Lewis basicity was, the more obvious the accurate control effect on the top-down crystallization process of 2D perovskite would be. This could enhance the crystallographic orientation of 2D perovskite. The effect of Lewis basicity played a more important role than other properties of the solvent, such as boiling point and polarity.
Context‐dependent effects of shifting large herbivore assemblages on plant structure and diversity

Despite wide recognition of the importance of anthropogenically driven changes in large herbivore communities—including both declines in wildlife and increases in livestock—there remain large gaps in our knowledge about the impacts of these changes on plant communities, particularly when combined with concurrent changes in climate. Considering these prominent forms of global change in tandem enables us to better understand controls on savanna vegetation structure and diversity under real‐world conditions. We conducted a field experiment using complete and semi‐permeable herbivore exclosures to explore the difference in plant communities among sites with wild herbivores only, with cattle in addition to wild herbivores, and with no large herbivores. To understand variation in effects across climatic contexts, the experiment was replicated at three locations along a topoclimatic gradient in California. Critically, this is the first such experiment to compare cattle and wildlife impacts along an environmental gradient within a single controlled experiment. Vegetation structure responded strongly to herbivore treatment regardless of climate. Relative to the isolated effects of wildlife, exclusion of all large herbivores generally increased structural components related to cover and above‐ground biomass while the addition of cattle led to reductions in vegetation cover, litter, shading and standing biomass. Furthermore, wildlife had a consistent neutral or positive effect on plant diversity, while the effect of livestock addition was context dependent. Cattle had a neutral to strongly negative effect at low aridity, but a positive effect at high aridity. These results suggest that (a) herbivore effects can override climate effects on vegetation structure, (b) cattle addition can drive different effects on diversity and (c) herbivore effects on diversity are modulated by climate. Synthesis. Our results illustrate very distinctive shifts in plant communities between two realistic forms of change in ungulate herbivore assemblages—livestock addition and large herbivore losses—particularly for plant diversity responses, and that these responses vary across climatic contexts. This finding has important implications for the management and protection of plant biodiversity given that over a quarter of the Earth's land area is managed for livestock and climate regimes are changing globally.
Design and implementation of type-II and type-III controller for DC–DC switched-mode boost converter by using K -factor approach and optimisation techniques

DC - DC power supplies are playing significant role in different domains of engineering applications. Some converters such as boost, buck-boost, and fly-back have a right-half-plane zero (non-minimum phase system), hence it is difficult for the PID controller to exhibit good performance with load, line variations and parametric uncertainty. In this proposed work, design and implementation of type controllers have been performed by using k -factor approach and two different optimisation techniques (gravitational search algorithm and particle swarm optimisation) for obtaining better stability and performance for a closed loop DC-DC Switched mode boost converter. The closed loop control system has been implemented in real time dSPACE platform. The comparative closed-loop performances of a boost converter with classical, optimised PID and optimised type II/type III controllers have been produced. Simulations and experimental results are provided to demonstrate the effectiveness of optimised controllers for the proposed converter. Design and implementation of optimised type controller for switch mode converters has not been reported earlier in any literature.
A Spectral Pre-processing Method Based on Transfer Dictionary with application to the Quantitative Analysis of TN within Freshwaters

During the online quantitative analysis of total nitrogen, numerous data is needed for dictionary learning to better represent the spectrum. However, the amount of on-site sampling data is limited, which cannot meet the requirement of dictionary learning. Therefore, this paper proposes a pre-processing algorithm based on the transfer dictionary, which can update the source dictionary with small samples to perform online spectral pre-processing. To better measure the effectiveness of the method, the experiment executes classical pre-processing algorithms separately, and then combines with partial least squares to predict the concentration of total nitrogen. The results show that the method proposed in this paper can improve the accuracy of total nitrogen detection.
Women’s Empowerment and Social Household Spending in Fragile States: Evidence from Chad

State fragility in Chad has been narrowly associated with insecurity due to a long cycle of violent conflict and recurrent droughts, leading to low social development. In this paper, we have investigated the impact of women’s empowerment on household social expenditures using data from the Chadian household consumption and informal sector survey carried out in 2011, and Propensity Score Matching as empirical model. The social expenditures used as outcome variables are education, health and food. We find that social expenditures are higher when a household is headed by a woman than when it is headed by a man with similar observed characteristics. In particular, differences between female-headed households and male-headed households are higher in food expenditures after controlling for observed characteristics (covariates). The results also show that there is a composition effect in household expenditure. While female-headed households spend their incomes in social sectors (health, food and education), those headed by men spend for temptation goods (alcohol and leisure). These results hold when we control both model specification and common support hypothesis. Our findings provide decision makers with economic policy tools to promote the social development focusing on women’s empowerment.
Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins

Abstract. We use satellite methane observations from the Tropospheric Monitoring Instrument (TROPOMI), for May 2018 to February 2020, to quantify methane emissions from individual oil and natural gas (O/G) basins in the US and Canada using a high-resolution (∼25 km) atmospheric inverse analysis. Our satellite-derived emission estimates show good consistency with in situ field measurements (R=0.96) in 14 O/G basins distributed across the US and Canada. Aggregating our results to the national scale, we obtain O/G-related methane emission estimates of 12.6±2.1 Tg a−1 for the US and 2.2±0.6 Tg a−1 for Canada, 80 % and 40 %, respectively, higher than the national inventories reported to the United Nations. About 70 % of the discrepancy in the US Environmental Protection Agency (EPA) inventory can be attributed to five O/G basins, the Permian, Haynesville, Anadarko, Eagle Ford, and Barnett basins, which in total account for 40 % of US emissions. We show more generally that our TROPOMI inversion framework can quantify methane emissions exceeding 0.2–0.5 Tg a−1 from individual O/G basins, thus providing an effective tool for monitoring methane emissions from large O/G basins globally.
Kyrgyz Diaspora Online: Understanding Political Participation and Transnational Citizenship

In an attempt to address the debate among social science scholars regarding whether or not online political engagement is a legitimate form of political participation and exercise of transnational citizenship, this study investigates the conditions under which migrants engage politically with virtual communities; when and how online participation spills over to real-world social mobilization; and whether cross-border online-offline political participation creates a new form of transnational citizenship. Content analysis of virtual social media groups and pages on VKontakte, Odnoklassniki and Facebook demonstrates that, although migrants are not likely to routinely participate in, initiate, or continuously engage with political conversations on these platforms, crisis conditions, such as the October revolution in 2020, the first COVID wave the summer of that same year, and the Kyrgyz-Tajik border conflict in April-May 2021, trigger bursts of political activism on social media which carry over to the real-world in the form of fundraising and protest mobilization.
ssessment of Fibrosis by Transient Elastography Compared With Liver iopsy and Morphometry in Chronic Liver Diseases

ackground & Aims: Liver stiffness measurement (LSM) ith transient elastography (Fibroscan) can accurately dignose advanced liver fibrosis, but its performance in early iver fibrosis is less satisfactory. We aimed to study the iagnostic performance of LSM for histologic bridging firosis and cirrhosis in various chronic liver diseases and to nvestigate the effects of liver fibrosis distribution on LSM. ethods: We prospectively studied consecutive patients ith chronic liver diseases undergoing liver biopsy and ransient elastography examinations. Morphometric analyis was performed to evaluate the distribution of liver brosis. Results: One hundred thirty-three patients (50% hronic hepatitis B, 14% chronic hepatitis C, and 24% nonlcoholic fatty liver disease) were studied. Morphometric nalysis revealed a higher correlation between LSM and ericellular fibrosis (r 0.43) than periportal (r 0.21) or erivenular fibrosis (r 0.25). Area under receiver operatng characteristic curve (ROC) of LSM for bridging fibrosis as 0.87 (95% confidence interval, 0.81– 0.93) and for cirhosis was 0.89 (95% confidence interval, 0.83– 0.94). Higher SM was associated with higher serum ALT level. Paients with the same fibrosis staging but higher ALT evels tend to have higher LSM. The area under ROC urve of LSM for cirrhosis was lower among patients who ad ALT above the upper limit of normal (0.86) as comared with that of patients with normal ALT levels (0.93, .03). Conclusions: Transient elastography can diagose severe fibrosis because of its good correlation with ericellular fibrosis. Transient elastography might overesimate liver fibrosis when ALT is elevated.
Behavioural Data in Credibility Assessment: Case Study of Kaja Godek’s Explanatory Statement of Anti-LGBT Law

The paper explores the application of behavioural data analysis in the credibility assessment of a speaker. It presents how researchers investigate non-verbal communication, expressions of emotions or indicators of arousal to evaluate congruency using audiovisual material. Furthermore, the case study of Polish political activist Kaja Godek’s explanatory statement of an anti-LGBT bill on October 28, 2021, suggests possible ways, in which the automated system FaceReader (and Facial Action Coding System as its theoretical background) may enrich methods of social science. As a result, it offers an example of an innovative approach towards political communication and the credibility of an argument.
Pattern Recognition of Speech Signals Using Curvelet Transform and Artificial Intelligence

-Pattern recognition of speech signals is ability to translate a spoken word to text format. This paper presents an authority speech recognition system based on curvelet transform and artificial neural network techniques to enhance the recognition rate. This research comprised in two distinct phases, a feature extractor and recognizer is presented. In feature extraction phase, curvelet transform extract the features from the input speech signal and detail components of these signals which assist in achieving higher recognition rate. For feature matching, artificial neural networks is used as classifiers. The performance evaluation has been described in terms of accurate recognition rate, interfering sounds, hit rates, false alarm and miss rates. The rate of accurate classification was about 95.3 % for the sample speech signals.
HYPERSPECTRAL IMAGING FOR TEXTILE SORTING AND RECYCLING IN INDUSTRY

Recycling of textile materials is becoming very relevant due to the increasing textile waste and its large environmental impact. The Resyntex project aims at dealing with this textile waste by enabling its chemical recycling. To do so textile pure materials and blends need to be sorted first. In this paper we evaluate the suitability of hyperspectral imaging for pure and blend textile sorting. For this purpose we use the Imec line-scan sensor in the 450-950nm range, since its cost, compactness and speed characteristics make it suitable for industrial deployment. To deal with the strong color interference a hierarchical classification approach is proposed. The results on the available sample set show promising discrimination potential.
Automatische Inspektion spiegelnder Freiformflächen anhand von Rasterreflexionen

Zur Inspektion spiegelnder Freiformflächen wird die Vorgehensweise eines visuell prüfenden Menschen technisch realisiert. Der Mensch beobachtet nicht die Oberfläche selbst, sondern die darin reflektierte Umgebung, und analysiert, ob Verzerrungen auftreten. Beim vorgestellten Verfahren betrachtet eine CCDKamera das Reflexionsbild eines frei programmierbaren, rückbeleuchteten LC-Displays. Mit Hilfe einer Mustersequenz auf dem LCD und dem Prinzip der inversen Strahlverfolgung läßt sich das Relief der Oberfläche bestimmen. Im Gegensatz zum Verfahren der Streifenprojektion, dessen Meßeffekt lokal im wesentlichen direkt von der Oberflächentopographie abhängt, ist die hier vorgestellte Methode besonders empfindlich für Oberflächenneigungen, d.h. der Meßeffekt hängt vorrangig vom Oberflächengradienten ab.
Childhood temperamental, emotional, and behavioral predictors of clinical mood and anxiety disorders in adolescence

Background: Mood and anxiety disorders, often emerging during adolescence, account for a large share of the global burden of disability. Prospectively assessed premorbid early signs and trajectories can provide useful insights for early detection and development of these disorders. Methods: Using the health registry linked Norwegian Mother, Father and Child Cohort Study (MoBa) of 110,367 children, we here examine cross-sectional and longitudinal association between temperamental traits, emotional and behavioral problems in childhood (0.5-8 years) and diagnosis of mood or anxiety (emotional) disorders in adolescence (10-18 years). We included birth year and sex, retrieved from the Medical Birth Registry of Norway, as covariates in all analyses. Results: Logistic regression analyses showed consistent and increasing associations between childhood negative emotionality, behavioral and emotional problems and adolescent diagnosis of emotional disorders, present from 6 months of age (negative emotionality) and with similar magnitude of association for the associated traits. Latent profile analysis incorporating latent growth models identified five developmental profiles of emotional and behavioral problems. A profile of early increasing behavioral and emotional problems with combined symptoms at 8 years (1.3% of sample) was the profile most strongly associated with emotional disorders in adolescence (OR vs. reference: 5.00, 95% CI: 3.73-6.30). Conclusions: We found a consistent and increasing association between negative emotionality, behavioral and emotional problems in early to middle childhood and mood and anxiety disorders in adolescence. A developmental profile coherent with early and increasing disruptive mood dysregulation across childhood was most predictive of adolescent emotional disorders. Our results highlight the importance of early emotional dysregulation and childhood as a formative period in the development of adolescent mood and anxiety disorders, supporting a potential for prevention and early intervention initiatives. Keywords: MoBa, Anxiety disorders, Depressive disorders, Irritability, Development, Emotional disorders
MAIN PRINCIPLES OF FORMATION OF THE ORGANIZATIONAL AND INDUSTRIAL MECHANISM OF THE CLUSTER SYSTEM IN COTTON-TEXTILE ENTERPRISES

The paper examines methodological approaches to the formation of the organizational and industrial mechanism of the cluster system of cotton and textile enterprises and agro-industrial enterprises. The author of this article examines various integration structures for the formation of industrial and production structures, evaluates their adequacy to modern innovative technologies as applied to cotton and textile enterprises.
Working with Stuckness in Psychotherapy : Bringing Together the Bricoleur Model and Pluralistic Practices

The chapter takes the experiences of being stuck, of lack of change and detrimental development of persons in psychotherapy as its start point. The aim of the chapter is to connect these experiences to the work of Jan Smedslund and show how his ideas not only offer a perspective for addressing such events but also provide a gateway into the work of other theorists who have similarly contributed to the development of an alternative critical standpoint in relation to professional knowledge and practice. The position being offered does draw on the experience of the authors and their engagement with stuckness. Informed by pluralism the practices highlight how to respond to stuckness, lack of change, and evidence of not being on track. Bringing together the work of Smedslund and pluralistic practice, perspectives on the use of theory and research in practice is developed. Central is Smedslund’s critique of generalized knowledge and its lack of focus on individual uniqueness. A relationship between the bricoleur model and pluralistic practices is established, grounded in a re-conceptualisation of how therapeutic change takes place, away from “interventions” and instead seeing what therapists do as “invitation to respond”. The chapter connects these ideas to other authors that can help us expand alternative knowledge of psychotherapy in line with the bricoleur model of Jan Smedslund and pluralistic practice. Lastly, the chapter underlines the importance of everyday language and cultural experience, and the value of engaging clients in a process of collaborative inquiry concerning relevant aspects of their everyday lives.
Perceived Stress and Self-Care in Graduate Students Amidst the COVID-19 Pandemic

The Centers for Disease Control (CDC) reports that since January 21, 2020, the United States has more than 28 million current cases of COVID-19, with an average reporting of COVID positive tests equating to nearly 200,000 new cases daily this fall [1]. As of mid-February 2021, there have been more than 500,000 reported COVID-related deaths, with an average of +2500 deaths reported each day. Per Wang et al (2020), recent assessments of mental health in the general populations of China and Iran, countries that experienced significant COVID outbreaks, show increased levels of stress due to the pandemic, with a key concern during the pandemic relating to the mental health of vulnerable populations, including college students [2]. The 2019 Annual Report of the Center for Collegiate Mental Health reported that anxiety continues to be the most common problem (62.7% of 82,685 respondents) among students who completed the Counseling Center Assessment of Psychological Symptoms [3]. Per Czeisler et al., (2020), the COVID-19 pandemic has been associated with mental health challenges related to the morbidity and mortality caused by the disease and to mitigation activities, including the impact of physical distancing and stay-at-home orders [4]. The researcher report that “elevated levels of adverse mental health conditions, substance use, and suicidal ideation were reported by adults in the United JOURNAL OF WELLNESS ORIGINAL RESEARCH