Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Technology of Detecting Welding Seam Based on Gauss Wavelet

Based on the technology of edge detection by wavelet transform,a new method of detecting seam of welding pipe using Gauss wavelet is proposed.As Gauss wavelet has local characteristics on the time and frequency domain,it is suitably used to detect the local shape of a signal as welding seam.The paper mainly relates to the pretreatment of the seam image,the Gauss wavelet transform and its application on the detecting welding seam,and the correlation analysis on the ultimate results.The scale parameter has outstanding effects on the transform results.By the analysis and the simulation on computer,the method shows higher estimated precision and better capability of anti disturb.In the other hand,its complication is not high.So it can be used into real time control system.
Area efficient layout design of CMOS circuit for high-density ICs

ABSTRACT Efficient layouts have been an active area of research to accommodate the greater number of devices fabricated on a given chip area. In this work a new layout of CMOS circuit is proposed, with an aim to improve its electrical performance and reduce the chip area consumed. The study shows that the design of CMOS circuit and SRAM cells comprising tapered body reduced source fully depleted silicon on insulator (TBRS FD-SOI)-based n- and p-type MOS devices. The proposed TBRS FD-SOI n- and p-MOSFET exhibits lower sub-threshold slope and higher Ion to Ioff ratio when compared with FD-SOI MOSFET and FinFET technology. Other parameters like power dissipation, delay time and signal-to-noise margin of CMOS inverter circuits show improvement when compared with available inverter designs. The above device design is used in 6-T SRAM cell so as to see the effect of proposed layout on high density integrated circuits (ICs). The SNM obtained from the proposed SRAM cell is 565 mV which is much better than any other SRAM cell designed at 50 nm gate length MOS device. The Sentaurus TCAD device simulator is used to design the proposed MOS structure.
The Quantified Caveman

This is a detailed study of nutritional and lifestyle data on a single individual who adhered to the Paleolithic diet (PD) for a full year. The dietary intake was compared with evidence-based guidelines and various PD iterations from the research literature and popular diet books. Although the subject's diet aligned with PD book recommendations, several nutrients differed markedly from estimations in the scientific literature, highlighting the importance of relying on evidence-based dietary advice. These findings provide insight into a contemporary PD in practice, the feasibility of nutrition tracking, and how self-tracked dietary data can inform health behavior.
mTransSee

Gesture recognition using millimeter-wave radios facilitates natural human-computer interactions, but existing works require a consistent environment, i.e., the neural networks for recognition are trained and tested for the same users and at some fixed positions. In this case, their performance will decrease rapidly when they enter into a new environment. To make the model applicable in different environments, a straightforward approach is to collect and re-train the model for the gesture samples on every possible position upon each new user. However, it may ask the users to spend unacceptable time to accomplish such adaptation, which makes it difficult to be widely used in practice. In this paper, we first collect an abundant mmWave gesture dataset containing 59,280 samples as a benchmark to investigate the impact of the environment changes quantitatively. Then we propose a novel transfer-learning approach called mTransSee, which can serve the gestures in practice using pre-learned experience by least adaptation, i.e., retraining using only 8 samples per gesture for the same accuracy. mTransSee reduces dozens of workloads for the environment adaptation. We implement mTransSee on a commodity mmWave sensor and make a user study to compare the advance of mTransSee over the state-of-the-art solution in terms of user experience during adaptation.
The Role of Physical Activity Behavior in the Mental Wellbeing of Vocational Education and Training Students: The PHIT2LEARN Study

A positive association has been found between physical activity (PA) and student mental wellbeing (SMW). This association has been mainly explored in secondary school and university students. Studies in vocational education and training (VET) are lacking, while VET students could especially benefit from exploring this association since research shows that VET students, who often come from low socioeconomic status (SES) households, are prone to low SMW. Low SMW can result in higher school dropout rates and long-term negative effects, such as unemployment, social exclusion, and impoverishment. The aim of the current study was to explore the association between total PA and different physical activity behaviors {PABs, i.e., moderate to vigorous physical activity (MVPA), light physical activity (LPA), and sedentary behavior (SB)}, and SMW in the VET setting. In this cross-sectional observational study, students wore an ActivPAL3™ accelerometer for 7 consecutive days to measure PAB. SMW was assessed using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Rosenberg self-esteem questionnaire (RSE). Complete data for the analyses were obtained from 85 students. Multiple regression analyses showed a significant positive association between total PA and self-esteem and a significant negative association between total PA and depressive symptoms. Taking different PA intensities into account, there was a significant positive association between LPA and self-esteem and a significant negative association between LPA and depressive symptoms. No significant associations were found between MVPA and the outcome measures, although the associations were aligned with the findings for LPA. High levels of SB were significantly associated with low self-esteem; however, the association between SB and depressive symptoms was not significant. The significant positive associations between LPA and SMW and the negative association between SB and self-esteem indicate that decreasing SB and increasing LPA could contribute to improve SMW. Future research should determine if these are causal relationships.
Environmental Inequalities in Kathmandu, Nepal—Household Perceptions of Changes Between 2013 and 2021

Environmental health inequalities in cities of the Global South are hardly studied up to now, though they are expected to increase due to rapid urbanization and motorization taking place in many of these cities. In this study, environmental inequalities in the city of Kathmandu, Nepal for the years 2013 and 2021 are analyzed. The goal of the study is to determine the degree of environmental inequalities and their changes over time. The study examines horizontal and vertical inequalities in access to drinking water sources, air and noise pollution exposure, and health effects based on self-reported household data. Results show statistically significant environmental inequalities between neighborhoods in Kathmandu regarding access to basic water infrastructure, air and noise pollution exposure, and resulting health effects. Inequalities between socio-economic groups are not significant. Over time, the perceived exposure to air pollution has increased, mainly due to increased motorized traffic, whereas vertical inequalities persisted. While inequalities between socio-economic groups have not increased, the high socioeconomic group reveals more concerns and awareness about environmental burdens than the low socioeconomic group. In conclusion, given the intertwined horizontal and vertical inequalities, any planning response action needs to consider the population's vulnerability to target interventions to the most affected areas.
Divergence in the Regulation of the Salt Tolerant Response Between Arabidopsis thaliana and Its Halophytic Relative Eutrema salsugineum by mRNA Alternative Polyadenylation

Salt tolerance is an important mechanism by which plants can adapt to a saline environment. To understand the process of salt tolerance, we performed global analyses of mRNA alternative polyadenylation (APA), an important regulatory mechanism during eukaryotic gene expression, in Arabidopsis thaliana and its halophytic relative Eutrema salsugineum with regard to their responses to salt stress. Analyses showed that while APA occurs commonly in both Arabidopsis and Eutrema, Eutrema possesses fewer APA genes than Arabidopsis (47% vs. 54%). However, the proportion of APA genes was significantly increased in Arabidopsis under salt stress but not in Eutrema. This indicated that Arabidopsis is more sensitive to salt stress and that Eutrema exhibits an innate response to such conditions. Both species utilized distal poly(A) sites under salt stress; however, only eight genes were found to overlap when their 3′ untranslated region (UTR) lengthen genes were compared, thus revealing their distinct responses to salt stress. In Arabidopsis, genes that use distal poly(A) sites were enriched in response to salt stress. However, in Eutrema, the use of poly(A) sites was less affected and fewer genes were enriched. The transcripts with upregulated poly(A) sites in Arabidopsis showed enriched pathways in plant hormone signal transduction, starch and sucrose metabolism, and fatty acid elongation; in Eutrema, biosynthetic pathways (stilbenoid, diarylheptanoid, and gingerol) and metabolic pathways (arginine and proline) showed enrichment. APA was associated with 42% and 29% of the differentially expressed genes (DE genes) in Arabidopsis and Eutrema experiencing salt stress, respectively. Salt specific poly(A) sites and salt-inducible APA events were identified in both species; notably, some salt tolerance-related genes and transcription factor genes exhibited differential APA patterns, such as CIPK21 and LEA4-5. Our results suggest that adapted species exhibit more orderly response at the RNA maturation step under salt stress, while more salt-specific poly(A) sites were activated in Arabidopsis to cope with salinity conditions. Collectively, our findings not only highlight the importance of APA in the regulation of gene expression in response to salt stress, but also provide a new perspective on how salt-sensitive and salt-tolerant species perform differently under stress conditions through transcriptome diversity.
Global Grassland Diazotrophic Communities Are Structured by Combined Abiotic, Biotic, and Spatial Distance Factors but Resilient to Fertilization

Grassland ecosystems cover around 37% of the ice-free land surface on Earth and have critical socioeconomic importance globally. As in many terrestrial ecosystems, biological dinitrogen (N2) fixation represents an essential natural source of nitrogen (N). The ability to fix atmospheric N2 is limited to diazotrophs, a diverse guild of bacteria and archaea. To elucidate the abiotic (climatic, edaphic), biotic (vegetation), and spatial factors that govern diazotrophic community composition in global grassland soils, amplicon sequencing of the dinitrogenase reductase gene—nifH—was performed on samples from a replicated standardized nutrient [N, phosphorus (P)] addition experiment in 23 grassland sites spanning four continents. Sites harbored distinct and diverse diazotrophic communities, with most of reads assigned to diazotrophic taxa within the Alphaproteobacteria (e.g., Rhizobiales), Cyanobacteria (e.g., Nostocales), and Deltaproteobacteria (e.g., Desulforomonadales) groups. Likely because of the wide range of climatic and edaphic conditions and spatial distance among sampling sites, only a few of the taxa were present at all sites. The best model describing the variation among soil diazotrophic communities at the OTU level combined climate seasonality (temperature in the wettest quarter and precipitation in the warmest quarter) with edaphic (C:N ratio, soil texture) and vegetation factors (various perennial plant covers). Additionally, spatial variables (geographic distance) correlated with diazotrophic community variation, suggesting an interplay of environmental variables and spatial distance. The diazotrophic communities appeared to be resilient to elevated nutrient levels, as 2–4 years of chronic N and P additions had little effect on the community composition. However, it remains to be seen, whether changes in the community composition occur after exposure to long-term, chronic fertilization regimes.
Molecular Epidemiology and Pathogenic Characterization of Novel Chicken Infectious Anemia Viruses in Henan Province of China

Chicken infectious anemia (CIA) is an immunosuppressive disease caused by the chicken infectious anemia virus (CIAV) resulting in heavy economic losses once an outbreak is established. This study conducted a systematic analysis of the epidemiology and pathology of CIA in Henan province, China. A total of 437 clinical tissue samples and 120 poultry disease-related live attenuated vaccines were collected during 2017–2020; of which 45 were positive for CIAV nucleic acid, with a positive rate of 8.08%. Our results showed that genome sequence similarity among a total of 12 CIAV isolates was high, and ranged from 97.1 to 99.3%, and their similarity to the vaccine strains Cux-1 and Del-Ros ranged from 97.8 to 98.6%. However, There were mutations in the locus of the major capsid proteins VP1, VP2, and VP3 among all isolates. The subsequent sequence analysis indicated that the isolates of HN-4 and HN-8 showed genetic recombination and follow up animal experiments revealed that HN-4 might be a pathogenic strain. Our results reveal that both field infection and non-CIAV vaccines contamination promote the epidemiology of CIAV in China and some dominant epidemic viruses have undergone recombination and evolution. This study provides important information to help with the prevention and control of CIAV in the poultry industry.
Pharmacokinetic Studies in Elasmobranchs: Meloxicam Administered at 0.5 mg/kg Using Intravenous, Intramuscular, and Oral Routes to Nursehound Sharks (Scyliorhinus stellaris)

Infectious and inflammatory diseases are the most frequently diagnosed pathologies in elasmobranchs maintained under human care. Non-steroidal anti-inflammatory drugs (NSAIDs) are frequently used in veterinary medicine for their anti-inflammatory, analgesic, and antipyretic properties. Meloxicam is a commonly prescribed NSAID in elasmobranchs, but there are still no published pharmacokinetic (PK) studies supporting its use in this group of animals. In this study, meloxicam was administered at a single dose of 0.5 mg/kg to eight healthy adult nursehound sharks (Scyliorhinus stellaris) intravenously (IV), intramuscularly (IM), and orally (PO), with a minimum 4-week washout period between administrations. Blood samples were obtained both beforehand and at predetermined times after each administration. Plasma concentrations were measured using a validated high performance liquid chromatography method, and PK data was obtained using a non-compartmental analysis. Meloxicam administered orally did not produce detectable concentrations in blood plasma, while mean peak plasma concentration was 0.38 ± 0.08 μg/ml after IM administration. The mean terminal half-life was 10.71 ± 2.77 h and 11.27 ± 3.96 h for IV and IM injections, respectively. The area under the curve extrapolated to infinity was 11.37 ± 2.29 h·μg/ml after IV injections and 5.98 ± 0.90 h·μg/ml after IM injections. Meloxicam administered IM had a mean absolute bioavailability of 56.22 ± 13.29%. These numbers support meloxicam as a promising drug to be used IM in nursehounds, questions the efficacy of its single PO use in elasmobranchs, elucidate the need for higher dosage regimes, and evidence the need for further PK studies in sharks and rays.
The Effects of Research Activities on Biomedical Students' Mental Health: A National Cross-Sectional Study

Mental health disorders are prevalent among biomedical students, and scientific research is one of their main activities, yet less is known about the relationship between research activities and mental health among these students. The aim of this cross-sectional study was to assess the associations between research activities and mental health and to identify the potential risk factors for anxiety and depression among biomedical students in China. This study enrolled 1,079 participants between November 2020 and December 2020 from 29 Chinese provinces and collected participants' basic characteristics, work situations, scientific achievements, and potential stress sources via an online questionnaire. Anxiety and depression were evaluated by two widely used scales, the Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9), respectively. The study also assessed the associations between scientific research duration and mental health. Univariate and multivariate analyses were performed to identify the predictors of anxiety and depression. Among the participants, 39.02% scored as having moderate to severe anxiety, and 37.54% scored as having moderate to severe depression. When the Youden index reached its maximum, the optimal cutoff was 7.17 h for the GAD-7 and 6.83 h for the PHQ-9. After adjustment for confounders, a longer research work duration was significantly associated with a higher anxiety [odds ratio (OR) = 1.32, 95% confidence interval (CI): 1.21–1.44, p < 0.01] and depression (OR = 1.27, 95% CI: 1.17–1.39, p < 0.01). Of all the participants working for 7 h a day, 37.04% had already published at least one paper and 25.93% had at least one Science Citation Index paper. Anxiety and depression are common among biomedical students. The research work duration of 7 h a day is the best cutoff for mental health, and it is associated with acceptable scientific research achievements. Not more than 7 h a day on research is recommended for biomedical students to maintain a balance between mental health and scientific research achievements.
Commitment and Wellbeing: The Relationship Dilemma in a Two-Wave Study

There has been little consensus around the sequential relationship between organizational affective commitment and workers’ wellbeing. In line with the Conservation of Resources Theory, results of this two-wave study with a contact center employee sample (N = 483) showed that organizational affective commitment decreases work ill-being (i.e., burnout) and increases work wellbeing (i.e., work-engagement). Furthermore, in keeping with the loss spiral assumption of this theory, the mediating role of burnout in the affective commitment-health relationship was supported in this study. However, in accordance with the Job Demand-Resources, work engagement was found not to prevent effects on health. The findings have implications for the organizational affective commitment theory, as well as for organizational occupational health policies and interventions.
Therapeutic Drug Monitoring of Antidepressants: An Underused but Potentially Valuable Tool in Primary Care

Depressive disorders are among the most burdensome diseases globally in terms of prevalence, as well as in terms of quality of life, morbidity, and mortality. Hence, it is becoming increasingly common for primary care physicians to administer and monitor the treatment of individuals affected by depressive disorders. In this framework, Therapeutic Drug Monitoring (TDM) comes to the forefront. TDM is the measurement of specific drugs in the blood or plasma/serum, and its usefulness lies in the fact that it allows physicians to assess drug levels to personalize and optimize treatments. TDM has been used for decades to measure several classes of psychotropic drugs, such as antiepileptics and antipsychotics, but the use of this tool is still in its infancy in regard to antidepressants. In the context of primary care, TDM of antidepressant drug treatment shows promise, as it can enable primary care physicians to monitor the safety and efficacy of the treatment, leaving to secondary care, i.e., psychiatrists, the management of the more complex clinical cases.
Entrepreneurial Leadership and Entrepreneurial Success: The Role of Knowledge Management Processes and Knowledge Entrepreneurship

Various leadership styles have been widely studied to understand success. However, little research has empirically explored how entrepreneurial leadership (EL) influences entrepreneurial success (ES). Moreover, the role of knowledge management processes (KMPs) and knowledge entrepreneurship (KE) have been overlooked. Thus, using a knowledge-based view theory, this study aims to determine the relationship between EL and ES, mediated through KMPs. In addition, for a better understanding, the study also used KE as a moderator. A quantitative survey method has been employed to collect data from 390 entrepreneurial venture (EV) owners, co-founders, and managers in tech-oriented ventures (IT and Software-based) operating in Pakistan. Smart partial least squares (PLS) statistical software was used to analyze the impact mechanism of EL on ES through the structural equation model. The findings revealed that EL style positively influences ES. In addition, KMPs fully mediate the relationship between EL and ES. Furthermore, KE as a moderator, strengthens the relationships between EL and the knowledge management process. Theoretically, this study has complemented and enriched research on the influence mechanism between EL and ES. Practically, this study has important implications for leaders, managers, and founders to promote KMPs to achieve ES.
Lifetime Cannabis Use Is Not Associated With Negative Beliefs About Medication in Patients With First Treatment Psychosis

Objective Cannabis use is common among patients with psychosis, and along with negative beliefs about medication, it has been found to predict poor adherence to antipsychotic drug treatment. Such lack of adherence to antipsychotic drug treatment increases the risk of poor clinical outcomes and relapse in patients with first treatment for psychosis (FTP). However, to date, it is unclear whether cannabis use may be related to negative perceptions about antipsychotic drug treatment. Methods A cross-sectional sample of 265 FTP patients with schizophrenia spectrum disorder underwent extensive clinical assessments. Three measures of cannabis use were obtained: lifetime, current and meeting diagnostic criteria for abuse or addiction. For the primary analyses we focused on lifetime cannabis use. The Beliefs about Medication Questionnaire (BMQ) was employed to assess the patients' specific concerns and perceptions of antipsychotic medications, as well as general beliefs about pharmacotherapy. The relationship between lifetime cannabis use and BMQ scores was investigated with general linear model (GLM) analyses, controlling for age and sex. Results Patients with lifetime use of cannabis ≥10 times were more likely to be male, younger at the age of onset of psychosis and with higher levels of alcohol use and daily tobacco smoking, as compared to the non-users (p < 0.05). Neither lifetime use of cannabis, current use nor a cannabis abuse diagnosis was associated with negative beliefs about medicines as measured by the BMQ questionnaire. Conclusion Use of cannabis is not linked to negative perceptions about antipsychotic medicines in patients with FTP. Other reasons for poor compliance to antipsychotic drug treatment in cannabis users need to be further investigated.