Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of pre-sowing seed treatment on seed emergence and yield parameters in cumin ( Cuminum cyminum L.)

The investigation on effect of pre sowing seed treatment on seed yield and influence on seed quality parameters under different temperature and ageing treatment in cumin ( Cuminum cyminum L.) was carried out at Agronomy farm, B.A. College of Agriculture, AAU, Anand. Two varieties viz., Gujarat Cumin-1 (GC-1) and Gujarat Cumin-4 (GC-4) were obtained from Centre for Seed Spice Research Station, SDAU, Jagudan. Seeds of both the varieties were treated with different growth hormones, bio control agents and seed protection chemicals and their combined effect on growth and yield contributing attributes was studied. The experiment was laid out in factorial randomized block design. The combined effect of pre-sowing seed treatment and varieties showed significant effect for growth and seed yield characters of cumin. The variety GC-1 was significantly superior than the variety GC-4 for field emergence and growth while GC-4 showed significantly higher seed yield parameters.
Structural Equation Model for Analyzing the Factors Affecting Construction Safety Cost of Vertical Residential Buildings in Indonesia

The construction safety management system (CSMS) in a project is always taken into account, however, its implementation does not always run optimally. This is because there are many aspects related to safety costs that may not have been considered. Companies prefer to implement policies on safety which are more economical in order to both earn the maximum profit and reduce the necessary costs. Therefore, the objective of this study is to analyse the factors affecting the construction safety costs of high-rise residential buildings in Indonesia. It was conducted through a quantitative approach, using survey questionnaires and SEM analysis. The results showed that 9 factors affect the construction safety costs, and 11 hypothetical and 9 proven relationships were confirmed from them.
Linking Socio-demographics of Meat Vendor-processors to Residual Nitrite in Skinless Native Sausage Sold in a Typical Public Market in the Philippines

Nitrite plays a key preservative role in meat products. However, overapplication could increase the carcinogenicity risks while underapplication could shorten product shelf life. This study aimed to link the socio-demographic profile of the vendor-processors to the residual nitrite levels in skinless native sausage (skinless longganisa) in a typical public market in the Philippines. A total of 90 skinless longganisa packs were collected from the vendor-processors at three times. Skinless longganisa and commercial curing premix samples were analyzed for nitrite levels using the colorimetric method. Utilizing a random effects panel regression model, the impact of socio-demographic factors of the vendor-processors on the application of nitrite in their skinless longganisa products was assessed. The skinless longganisa samples had residual nitrite levels that ranged from 0.005–1.031 mg/kg with a mean value of 0.56 mg/kg of meat, which suggests the underapplication of nitrite at exceedingly low levels (only at most 2% of the recommended amount), compromising the microbial safety of the meat. The number of skinless longganisa vendor-processors with higher educational attainment (p < 0.01 for high school; p < 0.05 for college) was negatively associated with the nitrite content, whereas the frequency of married respondents (p < 0.01) and with more children (p < 0.05) was positively associated with the residual nitrite. Moreover, most of the vendor-processors had insufficient food safety knowledge despite having attended food safety seminars. With extremely low nitrite levels, monitoring and training programs should highlight the importance of applying the recommended levels of nitrite in skinless longganisa as an essential food safety measure.
Board Gender Diversity and Firm Performance: Evidence from China

This paper examines the impact of board gender diversity on firm performance. Based on the data of Chinese listed companies, we find that, first, there exists a significant positive effect of board gender diversity on firm performance. The result still holds after a series of robustness checks, such as using the next period of the independent variable to address the reverse causality problem, and adding more control variables into the regression models. In addition, our empirical results also indicate that the gender diversity effect on firm performance are more pronounced in firms with weaker corporate governance mechanisms, such as firms not audited by the international big four auditors. The findings provide notions to understand the role of board gender diversity and female directors in the developing markets better.
Sex-specific associations of childhood socioeconomic position and trajectories of metabolic traits across early life: prospective cohort study

Background: Socioeconomic inequalities in cardiovascular disease risk begin early in life and are more pronounced in females compared with males in later life but the causal atherogenic traits that may explain this are not well understood. We explored sex-specific associations between indicators of childhood socioeconomic position (SEP) and changes in molecular measures of systemic metabolism across early life. Methods: Data were from offspring of the Avon Longitudinal Study of Parents and Children (ALSPAC), born in 1991/1992. Maternal education was the primary indicator of SEP with paternal education and household social class used as secondary indicators; all measures were collected through questionnaires administered to mothers at 32-weeks gestation of the offspring pregnancy. Concentrations of 148 metabolic traits were measured using nuclear magnetic resonance spectroscopy performed on plasma samples at ages 7 years (y), 15y, 18y and 25y among offspring. The sex-specific slope index of inequality (SII) in trajectories of metabolic traits across these ages was estimated using multilevel models. Results: Between 6,010-6,537 participants with 10,055-12,543 repeated measures of metabolic traits from 7y to 25y were included. Lower maternal education was associated with more adverse levels of several atherogenic lipids and other key metabolic traits among females at age 7y, but not males. For instance, the SII for very small very-low-density lipoprotein (VLDL) concentrations was 0.16 SD (95% CI: 0.01, 0.30) among females and -0.02 SD (95% CI: -0.16, 0.13) among males at 7y. Between 7y and 25y, inequalities widened among females and emerged among males particularly for VLDL particle concentrations, plasma apolipoprotein B concentrations and inflammatory glycoprotein acetyls. For instance, at 25y the SII for very small VLDL concentrations was 0.36 SD (95% CI: 0.20, 0.52) and 0.22 SD (95% CI: 0.04, 0.40) among females and males respectively. Findings for secondary SEP indicators were broadly similar although associations of paternal education with key metabolic traits were weak and less consistent among males at 25y compared with associations of maternal education. Conclusion: Socioeconomic inequalities in causal atherogenic lipids and other key metabolic traits such as markers of inflammation begin in childhood and strengthen in adolescence among females but only emerge in adolescence among males, leading to wider socioeconomic inequalities among females compared with males by 25y. Prevention of socioeconomic inequalities in cardiovascular disease risk requires a life course approach that begins at the earliest opportunity in the life course especially among females.
ARAŞTIRMA MAKALESİ/ORIGINAL RESEARCH

Long-Term Prognostic Value of Procalcitonin Level in Patients with Acute ST Segment Elevation Myocardial Infarction Akut ST Segment Yükselmeli Miyokard Infarktüsü Olan Hastalarda Prokalsitonin Düzeyinin Uzun Dönem Prognostik Değeri Turab Yakışan, Mehmet Gül, Muhammet Hulusi Satılmışoğlu, Abdurrahman Eren 1 Yozgat City Hospital, Department of Cardiology, Yozgat, Turkey. 2 Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, Department of Cardiology, University of Health Sciences, Istanbul, Turkey.
High Power Laser System

Based on the analysis of phase aberrations in high power laser system, the phase corrector plate is presented to correctthe static phase aberration. It can greatly improve the performance of the focal spot and is regarded as the suitablesupplement of adaptive optics. In this paper, the performance of phase corrector plate, both continuous structure andmulti-steps structure, is analyzed and simulated. The effect of misalignment between the phase corrector plate and the
Transformation-based Regularization for Information-based Deep Clustering

The joint learning of a feature representation and a clustering of the training data is a powerful approach for unsupervised learning in which data is automatically divided in clusters that represent semantic classes. Recent clustering approaches based on mutual information maximization have achieved excellent results, sometimes comparable with fully-supervised approaches. In this work, we present a generalization of information-based deep clustering where two key factors are evaluated: i) the variables for which we want to maximize the mutual information, ii) the regularization of the mutual information loss by the use of image transformations. Through an extensive analysis, we show that maximizing the mutual information between a sample and its transformed version, with an additional regularization to make the learning smoother, outperforms previous approaches and leads to state of the art results on three different datasets. Additional experiments show that the proposed method largely outperforms disentangling methods for classiﬁcation tasks and is useful as unsupervised initialization for supervised learning.
Stateful Versus Stateless Selection of Edge or Cloud Servers Under Latency Constraints

We consider a radio access network slice serving mobile users whose requests imply computing requirements. Service is virtualized over either a powerful but distant cloud infrastructure or an edge computing host. The latter provides less computing and storage capacity with respect to the cloud, but can be reached with much lower delay. A tradeoff thus naturally arises between computing capacity and data transfer latency. We investigate the performance of this service model, discussing how service requests should be routed to edge or cloud servers. We look at the performance of various classes of online algorithms based on different levels of information about the system state. Our investigation is based on analytical models, simulations in OMNeT++, and a prototype implementation over operational cellular networks. First of all, we observe that distributing the load of service requests over edge and cloud is in general beneficial for performance, and simple to implement with a stateless online server selection policy that can be easily configured with near-optimal performance. Second, we shed light on the limited improvements that stateful polices can offer, notwithstanding they base their decisions on the knowledge of server congestion levels or round-trip latency conditions. Third, we unveil that stateful policies are dangerously prone to errors, which may make stateless policies preferable.
Persistence and Academic Performance of Medical Students in Online Learning Environment During the COVID-19 Pandemic Lockdown

Government response to the COVID 19 pandemic in the spring of 2020 came as a wave of physical closures requiring sudden change in the method of instruction from face-to-face to a completely online. Assessment of students adaptation to this change during emergency lockdown is the focus of this study. We used a One-way ANOVA to compare pandemic and pre-pandemic Performance of First Year medical students at the University of Arkansas for Medical Sciences in the brain and behavior module. Students’ test scores related to perception of persistence levels was studied using correlation analysis. In addition, a regression analysis was performed to examine prediction factors of medical student course grades during COVID-19. Students’ grades in the module during the COVID-19 were significantly higher compared to the grades in recent prior years at the p<. 001 level [F (3, 692) = 9.08]. Pearson product-moment correlation results showed a strong and positive correlation between students’ persistence level (M = 3.46, SD = .997, n = 79), and their module grade during COVID-19 (M = 258.777, SD = 14.6878, n = 79), r = . 33, p = < . 01. The multiple linear regression analysis accounts for 14% of the variance in students’ module grades and the variance was statistically significant at p < . 05. As such, we conclude that students’ persistence to adjust to a new learning environment coupled with module directors and faculty successfully employing remote education methods, met the learning challenges during the pandemic and students maintained a high level of academic success.
Quality of Life and Psychosocial Functioning in Greek Children with Cancer

Background : Children with cancer face many challenges and commonly develop somatic, emotional and behavioral symptoms that negatively affect their quality of life (QoL) and their psychosocial functioning. Aim : The aim of this study was to assess the QoL of children with cancer and to address their emotional and behavioral symptoms. Methodology : This is a non-invasive descriptive study. 151) indicating that their children experience an overall acceptable quality of life. Moreover, mothers rated higher QoL of their children than fathers in the Social Dimension and the subscales of Communication Ability and Self-assessment. The PSC-35 scale was used to assess the psychosocial dysfunction of the children (attention, externalizing, and internalizing symptoms) as rated by their parents. The mean score was lower than the cut off level (Mean ± SD: 18.01 ± 6.78) and only 12% of the participants states scores >24, indicating dysfunction. However, despite the PSC-35 score, the 25% of parents believe that their child has emotional or behavioral problems and 84.1% of them expressed their will for psychological support for their child. Conclusions : The QoL in Greek children with cancer is rated as high according to their parents’ reports. However, a number of them are dealing with emotional or behavioral symptoms that require experts’ support.
Causality Relationships between financial development, economic growth and income inequality

This study investigates the causal relationships between financial development, economic growth and income inequality for 23 European Union countries during the period 1987-2017. Additionally, ten proxies of financial development are chosen to capture different characteristics of banking development and financial markets development. For the empirical analysis, the study employs cross-sectional dependence tests, second generation unit root test, panel co-integration tests and Granger non-causality test in heterogeneous panels. The findings are mixed and sensitive to the measures of financial development. Most importantly, the results reveal that there is a unidirectional causality from financial development to economic growth when private credit, stock market capitalization, net margin interest rate and Z-score are chosen as financial indicators. There is a bidirectional causality between bank assets, liquid liabilities, non-performing loans and economic growth and a unidirectional causality running from economic growth to value traded and turnover ratio. There exists no causal relationship between stock price volatility and economic growth. Concerning the causality relationship between economic growth and inequality, the results indicate a one-way causality running from inequality to economic growth. Finally, unidirectional causality exists from income inequality to financial development. However, one-way causality is found with direction from private credit to income inequality and bidirectional causality between bank assets and inequality. There is no evidence of causality between income inequality and turnover ratio, Z-score and stock price volatility.
Applying Transformer-based Sequence Modeling to ECG Data

Cardiovascular diseases are a leading cause of death. Traditionally, doctors have 1 manually inspected electrocardiography (ECG) signals in order to detect cardiac 2 abnormalities. Recently, deep learning models have proven to be effective in clas-3 sifying cardiovascular disease when trained on ECG sequence data. Performant 4 architectures include MobileNetV2, LSTMs, and convolutional neural networks 5 (CNNs) with ResNet or inception-based architectures. Given that both LSTMs 6 and convolutional networks have both performed well on the task, we seek to 7 better understand the necessary model attributes (e.g. ability to model long-term
Enriching the Pragmatics of Neurophenomenology, Still Starting from Phenomenology

I argue that it is to improve and methodologically enrich the pragmatic dimension of neurophenomenology by searching for points of contact and possibilities for integration between its phenomenological grounding and various first-person and embodied methodologies and practices, referring in particular to somatics, somaesthetics, and emersiology. > Abstract • We provide additional ex-planations regarding the constant refine-ment methodology and the integration of various first-person disciplines within neurophenomenology. In particular, we discuss the issues of our pragmatist ap-proach, the compatibility of methods, and the parametrization of first-person disciplines. « 1 » To begin with, we would like to express our thanks to all the commenta-tors for their insightful contributions. We are delighted that our article was able to initiate such a
Ultra-low turn-off current 2D material heterojunction selectors: first-principle calculations

Selector is important for emerging non-volatile memory arrays to settle the sneak path problem and inhibit the array leakage current. The turn-off current of the selector determines the ability of selector to inhibit the leakage current. Here, selector models with the structure of graphene/g-GaN/graphene show ultra-low turn-off current. First, combining the plane electrostatic potential and the current–voltage characteristic of switch layers of heterojunctions, it can be concluded that the resistance switching mechanism is based on Schottky barrier at the interface. Moreover, three selector models with different switch layers (model A, B, C) are explored to study the influence of the switch layer structure on the device. The plane average electrostatic potential of selectors shows that the different structures of the switch layer result in the difference of the threshold voltage (V th), owing to the different interface barrier. Finally, the electronic transmission shows each selector have an ultra-low turn-off current (I off) and high nonlinearity, which could better suppress the leakage current in array. This work supplies a potential implementation scheme for the selector with ultra-low turn-off current.
Measures of Tax Compliance among Small and Medium Enterprises in Tagum City: an Exploratory Factor Analysis

: The study's general objective was to develop tax compliance domains among Small and Medium Enterprises (SMEs) in Tagum City. The study used a non-experimental quantitative research design employing exploratory factor analysis. The study's respondents, randomly chosen from a total of one hundred fifty (150) owners, managers, bookkeepers, accountants, and other personnel in charge of the company's tax. The researcher constructed the contextualized instrument integrating the measures affecting tax compliance adopted from various sources and literature. Frequency, hierarchical clustering analysis ward method, factor analysis, measures of sampling adequacy and sphericity, and factor rotation method were the statistical tools used for data treatment. Data gathered were analyzed first with hierarchical cluster analysis ward method to group significant items, and later the clustered items were factor analyzed to get the domains of tax compliance. The findings revealed that there were a total of four measures that influence tax compliance among SMEs in Tagum City. For both cluster 1 were perception of equity and fairness and tax psychological cost; while for cluster 2 (knowledge of current tax policies/tax rates; and quality of tax officers' service).
Factors Underlying Cooperation During Covid-19 Pandemic Analysis on Game Theory

Starting in 2020, one of the most serious epidemics occurs in human history. The sudden arrival of the covid-19 takes many lives away. There is no doubt that the most critical issue is how to get more people to cooperate on epidemic prevention. The study topic is about the factors underlying cooperation during the covid-19 pandemic by using the game theory to analyze. In the paper, the author sums up recent studies about how communication, reputation, payoff structure can affect cooperation and provide some advice for prevention methods based on the discussions. According to the research results, communication, reputation, and payoff structure can affect whether people will choose to cooperate inside a group. Besides, making information more transparent and attainable, emphasizing the importance of reputation, increasing reputation reports on individuals and companies, and designing a proper payoff structure can be ways to contain the epidemic.
THE EFFECTS OF THE COVID-19 PANDEMIC ON THE TOURISM INDUSTRY

There is a close relationship between contagious diseases and tourism. While, tourism movements result in increased transmission of infections, the spread of the disease may adversely affect the tourism movements. The COVID-19 outbreak differs in terms of its effects and spread for the world economies that have witnessed many epidemic outbreaks before. The COVID-19 pandemic, which started in China and spread rapidly all over the world, has created economic shocks for all industries, but its impact on the tourism industry has been much severe compared to other industries. With the start of implementation national and international travel bans by countries, tourist movements ceased, and the tourism industry faced a sudden and uncertain crisis right before the tourism season. Considering all these effects, this section of the study explores the impacts, measures and forecasts of the pandemic and an evaluation was made in terms of its impacts on the tourism industry.
Covid-19 Health Protocol: The Poster Language and Politeness for Community Compliance

Covid-19 is a pandemic that involves all parties to minimize its spread in the community through various media, including posters for socializing health protocols. This article examines the language of the poster to identify and classify the types of clauses and characteristics of Bugis language politeness that invites the public to increase public compliance with health protocols. This qualitative research uses a phenomenological approach, with observation and recording techniques in data collection. Data analysis used Austin's speech act theory and Brown Levinson's politeness. Research findings: first, poster language uses two clauses, namely exertives clauses and veridictives clauses. Exertives include commanding (40.91%), forbidding (20%), threatening (11.36%), reminding (2.27%), and interrogating (2.27%). 2) clause veridictives including indicative (18,18%). Second, the poster language uses politeness strategies, inclusive honorific clitics of the second person /ta-/, possessive honorifics inclusive of /-ta/; inclusive plural honorific clitics, ki - and - ki . In conclusion, the politeness characteristics of the Bugis Covid-19 language show that there is a gap between speakers and listeners. It is recommended to use a language that is more familiar to the language-speaking community for their compliance.