Miracle-dz/UniFAR-FTUs huggingface dataset:
Mental Health of University Students When Returning to Face-to-Face Classes: A Cross-Sectional Study

Depression, anxiety and stress are multifactorial affective disorders that could manifest through a set of symptoms, both physical and psychological, that affect the quality of life and performance of people who suffer from them. In this sense, the present research had the objective of evaluating depression, anxiety and stress in students of the Faculty of Engineering of a Peruvian public university when returning to face-to-face classes. The research was developed under a quantitative approach and is of a non-experimental design of the descriptive cross-sectional type. The sample consisted of 244 students who responded to the Depression, Anxiety and Stress Scale, an instrument with adequate psychometric properties. According to the results, the students presented low levels of depression and anxiety. However, they showed moderate levels of stress. On the other hand, it was found out that the three variables were directly and significantly related. In the same way, it was found that there were statistically significant differences regarding the levels of depression, anxiety and stress related to gender, age group, family responsibilities and professional career. Finally, it was concluded that there were symptoms of depression, anxiety and stress in students of the Faculty of Engineering of a Peruvian public university when returning to face-to-face classes.
District/City Fiscal Dependence Analysis in Regional Development in Lampung

: The contribution of original local government revenue to total regional revenue in regencies and cities in Lampung Province is relatively low. This study aims to analyze regional fiscal dependence, analyze regional fiscal dependence related to the dominant business sector, and analyze the ratio of regional taxes and retribution to GRDP. This study uses a quantitative descriptive method. The analytical method used is descriptive quantitative analysis, through the calculation of the Fiscal Autonomy Index. The results of the study indicate that the value of the fiscal dependence of the regions studied is in a high dependency status or not yet independent, except for Metro City which in 2021 managed to increase its status to become self-reliant. Furthermore, all regions with dominant primary business sectors, have a high dependency status. The ratio of regional taxes and retribution to GRDP, in all regions studied is still very low. Efforts that need to be made by local governments to increase regional fiscal independence include calculating the real potential of regional taxes and retribution, developing potential sectors in increasing regional tax and retribution sector revenues, utilizing information technology, adjusting regional taxes and retribution, accelerating regional investment, developing local economy, and increased infrastructure capital spending.
Teachers’ Capability, Students’ Motivation and Parents’ Support in Online Learning

This study examines how primary teachers developed online education and how parents helped their kids learn from home during the COVID-19 pandemic. To investigate the experiences and subjective perceptions of online classrooms, we used semi-structured online interviews with teachers, parents, and students. The data gathered through the observation of online classes crystalized the interview data. The results of this study showed that teachers struggled to handle online learning due to their insufficient information and communication technology (ICT) knowledge and skills, unstable internet, and a lack of administrative support. Students' engagement in interactivities rose as a result of teachers' ongoing efforts to improve their online pedagogies. Because of the teachers' efforts to administer online classes during the pandemic, students were able to continue their learning at home. To ensure that everyone receives an equal education, online learning is a viable alternative to traditional classroom settings.
Response of confectionery groundnut to micronutrients

A field study was conducted during kharif 1997–1999 to study the response of confectionery groundnut variety ICGV 86564 to micronutrients. The pooled results revealed that application of zinc sulphate, borax and ferrous sulphate either alone or in combination registered significant and maximum values of growth and yield attributes and pod yield of groundnut over control. Among the different treatments, combined application of zinc sulphate @ 5 kg ha−l + borax @ 5 kg ha−l + ferrous sulphate @ 10 kg ha−1 significantly recorded the maximum pod yield of 2209 kg ha−1 which is 23.6% increase over control. The maximum net return of 20085 ha−1 and a benefit cost ratio of 1.53 was also observed with the same treatment.
The Effect of Challenge-Hindrance Stress on Psychache among Middle and Primary School Teachers

Background: Middle and primary school teachers are experiencing considerable stress from their careers. However, previous studies on work stress among teachers focused on the influence of various types of stress on individuals but failed to explore the relationship among middle and primary school teachers’ work stress, psychache. We aimed to examine the basic conditions of the challenge-hindrance stress of middle and primary school teachers as well as its relationship with psychache and psychological resilience. Method: A total of 512 middle and primary school teachers from Zhejiang and Anhui in China were enrolled from May to October 2021. The subjects were evaluated with the challenge–hindrance stress questionnaire, psychache scale, and psychological resilience scale. t-test, ANOVA analysis, correlation analysis, and multivariate regression analysis were used to explore the relationship between challenge-hindrance stress and psychache Results: Middle and primary school teachers generally experience high challenge–hindrance stress and psychache. The challenge-hindrance stress had a significantly positive correlation with psychache (r=0.295, 0.439, P<0.01) and a significantly negative correlation with psychological resilience (r = −0.320, −0.494, P<0.01). Challenge–hindrance stress could be used to significantly predict the psychache. Specifically, challenge stress and hindrance stress could significantly positively predicted the psychache (β=0.295 and β=0.439, respectively). In addition, psychological resilience exerted a partial mediating effect on the relationship between challenge–hindrance stress and psychache. Conclusion: The challenge–hindrance stress of middle and primary school teachers influences their psychache directly as well as indirectly through the mediating effect of psychological resilience.
Spark Discharge Synthesis and Characterization of Ge/Sn Janus Nanoparticles

Germanium–tin nanoparticles are promising materials for near- and mid-infrared photonics thanks to their tunable optical properties and compatibility with silicon technology. This work proposes modifying the spark discharge method to produce Ge/Sn aerosol nanoparticles during the simultaneous erosion of germanium and tin electrodes. Since tin and germanium have a significant difference in the potential for electrical erosion, an electrical circuit damped for one period was developed to ensure the synthesis of Ge/Sn nanoparticles consisting of independent germanium and tin crystals of different sizes, with the ratio of the atomic fraction of tin to germanium varying from 0.08 ± 0.03 to 0.24 ± 0.07. We investigated the elemental and phase composition, size, morphology, and Raman and absorbance spectra of the nanoparticles synthesized under different inter-electrode gap voltages and the presence of additional thermal treatment directly in a gas flow at 750 °C. The research shows that the in-flow thermal treatment of aerosol-agglomerated nanoparticles produced special individual bicrystalline Janus Ge/Sn nanoparticles with an average size of 27 nm and a decreasing absorption function with a changing slope at 700 nm.
Measurement of the excitation functions in alpha-induced reactions on 93Nb from threshold energy to 39.5 MeV

The excitation functions of 93mMo and 91m,92m,95m,gNb produced from alpha-induced reactions on 93Nb were measured from their respective threshold to 39.5 MeV. The study was conducted using the alpha beam from the Variable Energy Cyclotron Centre (VECC), Kolkata, India, the stacked foil activation technique and the off-line gamma ray spectrometric technique. The integral yields for a thick target were also deduced from the measured cross-sections and the stopping power of niobium. The results were compared with earlier reported data as well as with the theoretical values obtained from the TENDL-2013 library based on the TALYS-1.6 code.
Are employer-dismissed older workers adequately compensated? Comparison of Australian and UK age discrimination and dismissal cases

This paper focuses on the legal remedies for age discrimination and dismissal of older workers, identifying the factors that courts and tribunals in Australia and the United Kingdom (UK) consider when calculating compensation for two forms of damages: injury to feelings and future losses. A secondary aim is to determine whether these factors adequately consider the unique workforce participation challenges faced by older workers in both countries. Considering the similarities between Australian and UK age discrimination law and given that the latter jurisdiction has had considerably more successful cases than the former, this study adopts a comparative approach and draws on UK cases to inform the development of Australian age discrimination law. Analysis of all successful Australian and a selection of successful UK age discrimination and dismissal cases spanning from 2017 to 2020 suggests that Australian law might be strengthened by: adopting a scale of awards similar to the guidelines established in Vento v Chief Constable of West Yorkshire Police [2002] EWCA Civ 1871 (‘Vento’) for recognising and awarding injury to feelings; and by more readily awarding future losses, particularly for claimants who plan to work or who are already working past retirement age.
Effects of Phytochemicals from Fermented Food Sources in Alzheimer’s Disease In Vivo Experimental Models: A Systematic Review

The socioeconomic burden of Alzheimer’s Disease (AD) stems from its characteristic multifactorial etiology and, implicitly, the difficulties associated with its treatment. With the increase in life expectancy and health awareness, nutraceuticals and functional foods are filling in the gaps left by the limitation of classical medical treatment in chronic conditions associated with lifestyle factors, such as neurological disorders. Processes, such as fermentation that enhance food phytochemical content are garnering increased attention due to their functional and health-related properties. This systematic review aims to provide an overview of the evidence of phytochemicals from fermented food sources inducing therapeutic outcomes and cognitive benefits from in vivo experimental models of Alzheimer’s Disease. The present systematic review was conducted in accordance with PRISMA guidelines. Searches were performed in the following databases: MEDLINE, Embase, Cochrane, Scopus, Google Scholar, and Science Citation Index Expanded (Web of Science) by two independent reviewers. Titles and abstracts yielded by the search were screened for eligibility against the inclusion criteria. The search strategy yielded 1899 titles, encompassing studies from 1948 to 2022. After the removal of duplicates, and screening of titles, abstracts, and full texts, thirty three studies obtained from the original search strategy and seven studies from references satisfied the inclusion criteria and were included in the present systematic review. Several studies have emphasized the potential of fermentation to yield small-molecule phytochemicals that are not present in raw products. When these phytochemicals are combined, their collective strength has demonstrated the ability to exceed the antioxidant, anti-inflammatory, and neuroprotective benefits of individual phytochemicals when given in their pure form. Among the various fermented foods that have been studied, soy isoflavones obtained through fermentation have shown the most substantial evidence of altering phytochemical content and improving outcomes in animal models of AD. While promising in initial results, other fermented foods and traditional medicines require more detailed research in order to establish their effectiveness and proper utilization. As is, many of the experimental designs lacked phytochemical analysis of the used fermented product or comparison with the non-fermented counterpart. This, coupled with proper reporting in animal studies, will significantly raise the quality of performed studies as well as the weight of obtained results.
Prefabrication of a Lithium Fluoride Interfacial Layer to Enable Dendrite-Free Lithium Deposition

Lithium metal is one of the most attractive anode materials for rechargeable batteries. However, its high reactivity with electrolytes, huge volume change, and dendrite growth upon charge or discharge lead to a low CE and the cycle instability of batteries. Due to the low surface diffusion resistance, LiF is conducive to guiding Li+ deposition rapidly and is an ideal component for the surface coating of lithium metal. In the current study, a fluorinated layer was prepared on a lithium metal anode surface by means of chemical vapor deposition (CVD). In the carbonate-based electrolyte, smooth Li deposits were observed for these LiF-coated lithium anodes after cycling, providing excellent electrochemical stability for the lithium metal anode in the liquid organic electrolyte. The CE of Li|Cu batteries increases from 83% for pristine Li to 92% for LiF-coated ones. Moreover, LiF-Li|LFP exhibits a decent rate and cycling performance. After 120 cycles, the capacity retention of 99% at 1C is obtained, and the specific capacity is maintained above 149 mAh/g. Our investigation provides a simple and low-cost method to improve the performance of rechargeable Li-metal batteries.
Dual Source Photon-Counting Computed Tomography—Part II: Clinical Overview of Neurovascular Applications

Photon-counting detector (PCD) is a novel computed tomography detector technology (photon-counting computed tomography—PCCT) that presents many advantages in the neurovascular field, such as increased spatial resolution, reduced radiation exposure, and optimization of the use of contrast agents and material decomposition. In this overview of the existing literature on PCCT, we describe the physical principles, the advantages and the disadvantages of conventional energy integrating detectors and PCDs, and finally, we discuss the applications of the PCD, focusing specifically on its implementation in the neurovascular field.
The Epigenetics of Migraine

Migraine is a complex neurological disorder and a major cause of disability. A wide range of different drug classes such as triptans, antidepressants, anticonvulsants, analgesics, and beta-blockers are used in acute and preventive migraine therapy. Despite a considerable progress in the development of novel and targeted therapeutic interventions during recent years, e.g., drugs that inhibit the calcitonin gene-related peptide (CGRP) pathway, therapy success rates are still unsatisfactory. The diversity of drug classes used in migraine therapy partly reflects the limited perception of migraine pathophysiology. Genetics seems to explain only to a minor extent the susceptibility and pathophysiological aspects of migraine. While the role of genetics in migraine has been extensively studied in the past, the interest in studying the role of gene regulatory mechanisms in migraine pathophysiology is recently evolving. A better understanding of the causes and consequences of migraine-associated epigenetic changes could help to better understand migraine risk, pathogenesis, development, course, diagnosis, and prognosis. Additionally, it could be a promising avenue to discover new therapeutic targets for migraine treatment and monitoring. In this review, we summarize the state of the art regarding epigenetic findings in relation to migraine pathogenesis and potential therapeutic targets, with a focus on DNA methylation, histone acetylation, and microRNA-dependent regulation. Several genes and their methylation patterns such as CALCA (migraine symptoms and age of migraine onset), RAMP1, NPTX2, and SH2D5 (migraine chronification) and microRNA molecules such as miR-34a-5p and miR-382-5p (treatment response) seem especially worthy of further study regarding their role in migraine pathogenesis, course, and therapy. Additionally, changes in genes including COMT, GIT2, ZNF234, and SOCS1 have been linked to migraine progression to medication overuse headache (MOH), and several microRNA molecules such as let-7a-5p, let-7b-5p, let-7f-5p, miR-155, miR-126, let-7g, hsa-miR-34a-5p, hsa-miR-375, miR-181a, let-7b, miR-22, and miR-155-5p have been implicated with migraine pathophysiology. Epigenetic changes could be a potential tool for a better understanding of migraine pathophysiology and the identification of new therapeutic possibilities. However, further studies with larger sample sizes are needed to verify these early findings and to be able to establish epigenetic targets as disease predictors or therapeutic targets.
Broccoli, Kale, and Radish Sprouts: Key Phytochemical Constituents and DPPH Free Radical Scavenging Activity

Our research group previously found that broccoli sprouts possess neuroprotective effects during pregnancy. The active compound has been identified as sulforaphane (SFA), obtained from glucosinolate and glucoraphanin, which are also present in other crucifers, including kale. Sulforaphene (SFE), obtained from glucoraphenin in radish, also has numerous biological benefits, some of which supersede those of sulforaphane. It is likely that other components, such as phenolics, contribute to the biological activity of cruciferous vegetables. Notwithstanding their beneficial phytochemicals, crucifers are known to contain erucic acid, an antinutritional fatty acid. The aim of this research was to phytochemically examine broccoli, kale, and radish sprouts to determine good sources of SFA and SFE to inform future studies of the neuroprotective activity of cruciferous sprouts on the fetal brain, as well as product development. Three broccoli: Johnny’s Sprouting Broccoli (JSB), Gypsy F1 (GYP), and Mumm’s Sprouting Broccoli (MUM), one kale: Johnny’s Toscano Kale (JTK), and three radish cultivars: Black Spanish Round (BSR), Miyashige (MIY), and Nero Tunda (NT), were analyzed. We first quantified the glucosinolate, isothiocyanate, phenolics, and DPPH free radical scavenging activity (AOC) of one-day-old dark- and light-grown sprouts by HPLC. Radish cultivars generally had the highest glucosinolate and isothiocyanate contents, and kale had higher glucoraphanin and significantly higher sulforaphane content than the broccoli cultivars. Lighting conditions did not significantly affect the phytochemistry of the one-day-old sprouts. Based on phytochemistry and economic factors, JSB, JTK, and BSR were chosen for further sprouting for three, five, and seven days and subsequently analyzed. The three-day-old JTK and radish cultivars were identified to be the best sources of SFA and SFE, respectively, both yielding the highest levels of the respective compound while retaining high levels of phenolics and AOC and markedly lower erucic acid levels compared to one-day-old sprouts.
Regret Bounds for Log-Loss via Bayesian Algorithms

We study sequential probability assignment in the context of online learning under logarithmic loss and obtain tight lower and upper bounds for sequential minimax regret. Sequential minimax regret is defined as the minimum excess loss over data horizon <inline-formula> <tex-math notation="LaTeX">$T$ </tex-math></inline-formula> that a predictor incurs over the best expert in a class, when the samples are presented sequentially and adversarially. Our upper bounds are established by applying Bayesian averaging over a novel “smooth truncated covering” of the expert class. This allows us to obtain tight (minimax) upper bounds that subsume the best known non-constructive bounds in an algorithmic fashion. For lower bounds, we reduce the problem to analyzing the fixed design regret via a novel application of Shtarkov sum adapted to online learning. We demonstrate the effectiveness of our approach by establishing tight regret bounds for a wide range of expert classes. In particular, we fully characterize the regret of generalized linear function with worst Lipschitz transform functions when the parameters are restricted to a unit norm <inline-formula> <tex-math notation="LaTeX">$\ell _{s}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$s\ge 2$ </tex-math></inline-formula>) ball of dimension <inline-formula> <tex-math notation="LaTeX">$d$ </tex-math></inline-formula>. We show that the regret grows as <inline-formula> <tex-math notation="LaTeX">$\Theta (d\log T)$ </tex-math></inline-formula> when <inline-formula> <tex-math notation="LaTeX">$d\le O(T^{s/(s+1)-\epsilon })$ </tex-math></inline-formula> for all <inline-formula> <tex-math notation="LaTeX">$\epsilon >0$ </tex-math></inline-formula> (with precise constant 1 when <inline-formula> <tex-math notation="LaTeX">$d\le e^{o(\log T)}$ </tex-math></inline-formula>) and <inline-formula> <tex-math notation="LaTeX">$\tilde {O}(T^{s/(s+1)})$ </tex-math></inline-formula> when <inline-formula> <tex-math notation="LaTeX">$d\ge \Omega (T^{s/(s+1)})$ </tex-math></inline-formula>. Finally, we show that the Bayesian approach may not always be optimal if the support of the prior is included in the reference class itself.
The Effect of Professionalism and Structural Empowerment on Job Satisfaction of Inpatient Nurse

Nurses are one of the health workers who provide primary health services. Apart from being a large number in hospitals, its presence and role are strongly associated with patient safety and quality of care. Nurse job satisfaction has become one of the benchmarks for the quality of patient care. Research on the effects of professionalism and structural empowerment simultaneously on job satisfaction has never been done before. This study examines the impact of professionalism and structural empowerment on job satisfaction among inpatient nurses. This study is in the form of a cross-sectional survey. As many as 129 nurses from Bengkayang Regional Hospital and Landak Regional Hospital participated in this study. To collect data, Hall Professionalism Scale, Conditions for Work Effectiveness Questionnaire II, and Job Satisfaction Survey were delivered to respondents. Data were then analyzed using multiple linear regression. According to analysis, there is a significant effect of professionalism and structural empowerment on the job satisfaction of inpatient nurses
Research Progress of Quinoa Seeds (Chenopodium quinoa Wild.): Nutritional Components, Technological Treatment, and Application

Quinoa (Chenopodium quinoa Wild.) is a pseudo-grain that belongs to the amaranth family and has gained attention due to its exceptional nutritional properties. Compared to other grains, quinoa has a higher protein content, a more balanced amino acid profile, unique starch features, higher levels of dietary fiber, and a variety of phytochemicals. In this review, the physicochemical and functional properties of the major nutritional components in quinoa are summarized and compared to those of other grains. Our review also highlights the technological approaches used to improve the quality of quinoa-based products. The challenges of formulating quinoa into food products are addressed, and strategies for overcoming these challenges through technological innovation are discussed. This review also provides examples of common applications of quinoa seeds. Overall, the review underscores the potential benefits of incorporating quinoa into the diet and the importance of developing innovative approaches to enhance the nutritional quality and functionality of quinoa-based products.