Miracle-dz/UniFAR-FTUs huggingface dataset:
The Analysis Quality of Service with Outpatient Satisfaction Participants of Social Security Administrator in Ge’tengan Public Health Center, Tana Toraja Regency

The quality of service is an effort to fulfill the needs accompaniing by the wishes of consumers and the accuracy of the way of delivery in order to meet the expectations and satisfaction of those customers. The quality of service is one of the things that relates to customer satisfaction in this case the patient. The next effect will continue in the process of forming an improved public health center image. This research aims to find out the relationship of service quality based on the dimensions of comfort, timeliness, information and affordability of access with the satisfaction of outpatient participants BPJS PBI in Ge'tengan Public Health Center Tana Toraja Regency. This type of research is quantitative research using cross-sectional study design. This type of research is quantitative research using cross-sectional study design. The population in this study was 10,445 people. Sampling using side accidental, obtained samples as many as 96 respondents. The instruments used in this study were questionnaires and then the data was processed using the Statistical Package for the Social Sciences SPSS program. As well as the analysis used is univariate analysis and bivariate analysis. The results of the study obtained variables related to the satisfaction of outpatient participants BPJS PBI in The Center for Public Health Ge'tengan Tana Toraja district is the dimension of comfort p = 0,000, punctuality p = 0,000, and information p = 0.048. While the variables that are not related to the satisfaction of outpatient participants BPJS PBI participants is the dimension of affordability of access p= 0.959.
Antecedents of Organizational Commitment: The Mediating Effect of Job Satisfaction in Saudi Labor Sector

In the Saudi labor sector, this study aims to determine the function of job satisfaction as a mediator in the relationship between authentic leadership and organizational commitment, as well as mindfulness and organizational commitment. The respondents of this research were 204 Saudi employees. The information was gathered using electronic questionnaires and examined in three stages: descriptive statistics, confirmato ry factor analysis to test dimensionality, and path analysis. The descriptive statistics and correlation matrices of all variables were analyzed in the first phase. The confirmatory factor analysis and reliability consistencies were used in the second phase to look into the unit-dimensionality of each variable. Amos was used to do the path analysis in the third phase. The findings of the study revealed that there is a link between mindfulness and job satisfaction, there is also link and relationship between authentic leadership and job satisfaction. As well as a significant relationship between job satisfaction and organizational commitment and between mindfulness and organizational commitment. The findings of this study can be used as a guide for organiza tions in the Saudi sector to improve employee satisfaction and, as a result, support corporate goals. is a significant lack of previous studies and literatures that have examined this relationship. This study sheds light on the role of job commitment and its impact on several factors by looking at job satisfaction as a mediator in the Saudi labor sector. The factors that will be studied are the Authentic Leadership and Mindfulness as well as the mediating role of job satisfaction. This would help to streamline HR procedures by focusing efforts on the most important variables and achieving better results.
Prediction of Bacterial sRNAs Using Sequence-Derived Features and Machine Learning

Small ribonucleic acid (sRNA) sequences are 50–500 nucleotide long, noncoding RNA (ncRNA) sequences that play an important role in regulating transcription and translation within a bacterial cell. As such, identifying sRNA sequences within an organism’s genome is essential to understand the impact of the RNA molecules on cellular processes. Recently, numerous machine learning models have been applied to predict sRNAs within bacterial genomes. In this study, we considered the sRNA prediction as an imbalanced binary classification problem to distinguish minor positive sRNAs from major negative ones within imbalanced data and then performed a comparative study with six learning algorithms and seven assessment metrics. First, we collected numerical feature groups extracted from known sRNAs previously identified in Salmonella typhimurium LT2 (SLT2) and Escherichia coli K12 (E. coli K12) genomes. Second, as a preliminary study, we characterized the sRNA-size distribution with the conformity test for Benford’s law. Third, we applied six traditional classification algorithms to sRNA features and assessed classification performance with seven metrics, varying positive-to-negative instance ratios, and utilizing stratified 10-fold cross-validation. We revisited important individual features and feature groups and found that classification with combined features perform better than with either an individual feature or a single feature group in terms of Area Under Precision-Recall curve (AUPR). We reconfirmed that AUPR properly measures classification performance on imbalanced data with varying imbalance ratios, which is consistent with previous studies on classification metrics for imbalanced data. Overall, eXtreme Gradient Boosting (XGBoost), even without exploiting optimal hyperparameter values, performed better than the other five algorithms with specific optimal parameter settings. As a future work, we plan to extend XGBoost further to a large amount of published sRNAs in bacterial genomes and compare its classification performance with recent machine learning models’ performance.
Identification of Hair Growth Promoting Components in the Kernels of Prunus mira Koehne and Their Mechanism of Action

The application of the seed oil of Prunus mira Koehne (Tibetan name ཁམབུ།), a plant belonging to the Rosaceae family, for the treatment of alopecia has been recorded in Jingzhu Materia Medica (ཤེལ་གོང་ཤེལ་ཕྲེང་།) (the classic of Tibetan medicine) and Dictionary of Chinese Ethnic Medicine. This study aims to reveal the effective components and mechanism of hair growth promotion in the kernel of Prunus mira Koehne. Network pharmacology was used to predict the mechanism of action and effective components in the treatment of the kernel of Prunus mira Koehne. The contents of amygdalin in 12 batches of the kernel of Prunus mira Koehne were determined by HPLC. An animal model of the depilation of KM mice induced by sodium sulfide was created, and five effective components that promoted hair growth were initially screened. In the study of the effectiveness and mechanism of action, KM and C57BL/6 mice are selected as experimental objects, three screening tests for active components of the kernel of P. mira are performed, and three effective components are screened out from the eight components. HE staining was used to detect the number of hair follicles and the thickness of the dermis. RT-PCR and immunohistochemistry were used to evaluate the influence of the expression of indicators in the Wnt/β-catenin signaling pathway in skin, including β-catenin, GSK-3β, and mRNA and protein expression levels of Cyclin D 1 and LEF 1. The network pharmacology study showed 12 signaling pathways involving 25 targets in the treatment of alopecia by the kernel of Prunus mira Koehne. vitamin E (3.125 mg/cm2/d), β-sitosterol (0.061 mg/cm2/d), and linoleic acid (0.156 mg/cm2/d) in the kernel of Prunus mira Koehne can promote hair growth in mice, and the mechanism of action may be related to the Wnt/β-catenin pathway.
CHANGES IN SOME BLOOD CONSTITUENTS AND THEIR RELATION TO REPRODUCTIVE PERFORMANCE IN PRE AND POSTPARTUM PERIODS IN EGYPTIAN BUFFALOES

Serum total proteins, albumin, globulin, A/G ratio, alkaline phosphatase (AP) aspartate transaminase (AST) alanine transaminase (ALT), cholesterol and total lipids were estimated in 23 multiparous Egyptian buffaloes aged 5-11 years from 60 th days prepartum to 90 th day postpartum at 15 days intervals. Total proteins and globulin were high at 60 th day prepartum, then decreased gradually until parturition (P< 0.05) but increased again after parturition with fluctuation until 90 th day postpartum. Albumin was slightly fluctuated throughout the experimental period. Albumin/gbbulin ratio was low at 60 th day prepartum, then increased prior parturition until 90 th day postpartum. Concentration of AP was high at 60 th day prepartum then decreased towards parturition, statistically non-significant. AST, ALT, cholesterol and total lipids decreased (P< 0.01) from 60 days prepartum until parturition where they increased (P<0.05). The same parameters did not differ between the two groups. However, buffaloes which exhibited estrus (group1) showed a tendency to higher 0levels for all parameters than buffaloes which did not exhibit estrus (group2). lipids albumin A/G albumin aspartate transaminase
Meta-worry, anxiety, and depression in the coronavirus 2019 (COVID-19) pandemic: Brazil, June 2020

Introduction. Threats to mental health and psychological well-being have been considered among the most challenging dimensions to deal with the COVID-19 pandemic. Objective. To track the occurrence of significant anxiety and depression symptoms and the level of worry among residents in Brazil in June 2020. Method. The final sample totaled 4,805 participants from all Brazilian states. A sociodemographic and health questionnaire (with questions related to COVID-19), the translated versions of the Meta-Worry Questionnaire, and the 4-item Patient Health Questionnaire (PHQ-4) were used. Inferential analyses were computed using the Multinomial Logistic Regression (backward stepwise) in which the PHQ-4 findings were stratified into four categories: no symptoms, only anxiety symptoms, only depression symptoms, and both symptoms. Results. Research findings have shown that there are characteristics that predict greater exposure to significant symptoms of anxiety and depression (gender, age, and level of worry), with level of worry being the variable with the greatest impact on the model. Discussion and conclusion. These data found during the COVID-19 pandemic intra-crisis period allow for early prediction of the negative outcomes associated with the pandemic, such as common mental disorders, and allocating interventions to help people to rationally deal with the stress related to this moment, regulating their emotions, and improving their overall mental health.
On blow-up solutions of parabolic problems

This thesis is concerned with the study of the Blow-up phenomena for parabolic problems, which can be defined in a basic way as the inability to continue the solutions up to or after a finite time, the so called blow-up time. Namely, we consider the blow-up location in space and its rate estimates, for special cases of the following types of problems: (i) Dirichlet problems for semilinear equations, (ii) Neumann problems for heat equations, (iii) Neumann problems for semilinear equations, (iv) Dirichlet (Cauchy) problems for semilinear equations with gradient terms. For problems of type (i), (ii), we extend some known blow-up results of parabolic problems with power and exponential type nonlinearities to problems with nonlinear terms, which grow faster than these types of functions for large values of solutions. Moreover, under certain conditions, some blow-up results of the single semilinear heat equation are extended to the coupled systems of two semilinear heat equations. For problems of type (iii), we study how the reaction terms and the nonlinear boundary terms affect the blow-up properties of the blow-up solutions of these problems. The noninuence of the gradient terms on the blow-up bounds is showed for problems of type (iv).
LOW-DIMENSIONAL AND DISORDERED SYSTEMS Visualizing intrinsic localized modes with a nonlinear micromechanical array

Micromechanical cantilever arrays provide the opportunity to visualize the nonlinear excitations of a discrete nonlinear system in real time. Both stationary and moving localized nonlinear excitations can be produced either by driving the system at a frequency outside the plane wave spectrum or by driving the system at a frequency within the small amplitude dispersion curve range. To see these modes the tips of the cantilevers are imaged on a 1D CCD camera. The brightness of the image depends on the oscillation amplitude of the cantilever, so that a distribution of amplitudes in the array can be recorded as a function of position and time. Both the stationary and traveling excitations have been successfully simulated using a nonlinear lumped element lattice model. The former ILM can appear in any size lattice while the latter requires a low density of modes for the formation of smoothly running excitation.
Nonlocal diffusion of variable order on complex networks

Some aspects of nonlocal dynamics on directed and undirected networks for an initial value problem whose Jacobian matrix is a variable-order fractional power of a Laplacian matrix are discussed here. This is a new extension to non-stationary behaviour of a class of non-local phenomena on complex networks for which both directed and undirected graphs are considered. Under appropriate assumptions, the existence, uniqueness, and uniform asymptotic stability of the solutions of the underlying initial value problem are proved. Some examples giving a sample of the behaviour of the dynamics are also included.
Bal Poshan Yojana: A Novel Approach to Facility-Based Severe Acute Malnutrition Management

Introduction Severe acute malnutrition (SAM) carries severe implications for a child’s development. The survival of a child suffering from severely acute malnourishment is majorly dependent on the management of SAM, and scaling up the framework for addressing malnutrition is one of its main components. A severely malnourished child has a higher risk of mortality as compared to an ideally nourished child. Bal Poshan Yojana under the aegis of Project Tushti, a public-private partnership (PPP) model, aims at strengthening the framework of treatment for SAM children by working towards building a sustainable eco-system through engaging the government body, private practitioners and implementing bodies. Methods Bal Poshan Yojana is a novel approach implemented for the first time in the Devbhumi Dwarka district of Gujarat for the management of SAM under a PPP model. The private practitioners and centres were empanelled and trained on the treatment of SAM. SAM children with medical complications were screened through anthropometric measurements and appetite tests carried out by Rashtriya Bal Swasthya Karyakram (or RBSK, a program for child health) medical team. High-risk cases were referred to the nearest empanelled Bal Poshan Centre in the area. Children were treated for 14 days at the Bal Poshan Centre as per the protocol of the National Rehabilitation Centre and then discharged if the children fulfilled the criteria. The treatment included a 14-day treatment protocol and three follow-ups in an interval of 15 days each. The data was analyzed with appropriate statistical tests. Results Since its inception, a total of 102 severely malnourished children under five years of age have completed their treatment successfully, including three follow-ups. Around 60.79% of SAM children have been found to become normal in their nutritional status. The mean weight gain upon discharge was 0.57 kg and after three follow-ups, it was 1.051 kg. Conclusion Bal Poshan Yojana is a one of its kind initiative to tackle the growing burden of malnutrition among under-five age group children. The initiative has a focused approach. Strong referral and verification mechanisms ensure complete transparency and yielding of desired results.
Association between Vitamin D Serum Levels and Immune Response to the BNT162b2 Vaccine for SARS-CoV-2

The use of micronutrients such as vitamin D could improve the response to viral vaccines, particularly in immunosuppressed and immunosenescent subjects. Here, we analysed the association between serum 25-hydroxyvitamin D (25OHD) levels and the immune response elicited by the BNT162b2 vaccine in a cohort of 101 healthcare workers naïve for SARS-CoV-2 infection. We observed no significant differences in anti-spike (S) IgG and T-cell responses according to the 25OHD status at baseline. However, significant correlations between the 25OHD concentration at baseline and (i) the anti-S response (p < 0.020) and (ii) the neutralizing antibody (NT) titre (p = 0.040) at six months after the second dose were detected. We concluded that adequate levels of vitamin D may improve the immune response to mRNA vaccines such as BNT162b2, and that further larger studies are warranted in order to confirm these preliminary observations.
Zero-sum problems in finite groups

We develop new methods for investigating problems of zero-sum type in general finite groups. We establish a new bound on Davenport’s constant for abelian groups that assymptotically improves the previously known bounds. We use tools from Representation Theory to study properties of zero-sum sequences through nilpotent ideals of group algebras. A new relationship between zero-sum problems and multidimensional covers of Z is also established.
Lecture notes: Models for Quantum Measurements

We discuss two physical models (see [1], [2], [3], and [4]) involving a small quantum system coupled to a macroscopic apparatus. These models are simple enough to allow for explicit calculations of the joint dynamics of the measured system and the macroscopic variable of the apparatus used for readout (pointer). We study the two fundamental dynamical processes: (i) the entanglement of the measured system with the apparatus and (ii) decoherence of distinct pointer readouts, in some situations where these two processes proceed simultaneously.
Insulin Receptor Substrate 1 Gly972Arg (rs1801278) Polymorphism Is Associated with Obesity and Insulin Resistance in Kashmiri Women with Polycystic Ovary Syndrome

Background: Polycystic ovary syndrome (PCOS) is commonly associated with metabolic abnormalities such as hyperinsulinemia, insulin resistance and obesity. The genetic variants of genes regulating insulin action, expression and regulation are suggested as possible factors involved in development and severity of clinical manifestations in PCOS. Aim: We investigated whether IRS-1Gly972Arg (rs1801278) polymorphism is associated with increased risk of PCOS in Kashmiri women. The correlation of various clinical, metabolic and hormonal markers with rs1801278 single nucleotide polymorphism was analyzed. The genotypic–phenotypic association of clinical manifestations of PCOS with the tested genetic variant was also assessed. Results: There were no significant differences in allele frequency (OR = 0.87, CI = 0.59–1.29, χ2 = 0.456, p = 0.499) or genotypic distribution (χ2 = 3.73, p = 0.15) between PCOS women and controls. No significant association was also found in the dominant (OR = 1.63, χ2 = 0.377, p = 0.53), recessive (OR = 0.79, χ2 = 1.01, p = 0.31) or heterozygote vs. homozygote (OR = 1.34, χ2 = 1.53, p = 0.22) genotype model analysis. The genotype–phenotype correlation analysis showed that the Arg allele was significantly associated with increased central adiposity markers hip circumference (p = 0.012), and body adiposity index BAI (p = 0.002) in the recessive model in PCOS women. The two-hour glucose (p = 0.04) and insulin resistance marker HOMA (p = 0.44) were significantly higher in Arg allele carriers. The androgen excess markers dehydroepiandrosterone sulfate DHEAS (p = 0.02), Ferriman–Gallwey score (p = 0.012), prevalence of acne, alopecia and hirsutism (all p < 0.01) were significantly elevated in the wild-type GG genotype. Conclusions:IRS-1Gly972Arg genetic variant does not increase the risk of PCOS in Kashmiri women. However, this polymorphism is associated with clinical manifestations of insulin resistance, obesity and hyperandrogenism, suggesting its possible role in variable phenotypic manifestations of PCOS.
How Can Residents’ Air Transport Subsidies Affect Outbound Tourism behavior on Islands? Evidence from Spain

Subsidizing residents on airlines is a common policy in a number of countries. However, the question arises as to how changes in this policy affect the travel behavior of residents in specific regions? To address this, we analyze the effect of an “exogenous shock” (i.e., an increase in the resident subsidy) on two Spanish archipelagos when they travel away from the islands. Our Difference-in-Difference and matching estimations find that the causal impact of the policy change is different for resident passengers across the two regions affected. Although the length of stay was reduced for resident passengers in both archipelagos by 10%–15% after the shock, their expenditure at destination per day increased by 13% on the Balearic Islands, while showing no significant change on the Canary Islands. J.E. L. Codes: L83; H25; L93
Survival Analysis of Clinicopathology Profile, Risk Factor, and Prognostic Factor in Cervical Carcinomas with Chemoradiation

Cervical carcinoma causes several problems like pain, and suffering at least death. However, it is the most preventable, curable, and high survival type of cancer. This study aims to analyze the survival of cervical cancer patients based on factors that are considered influential, such as clinicopathological profiles, risk factors, and prognostic factors to order the effectiveness of therapy, and improving the quality of life in patients receiving chemoradiation. In an analytical observational retrospective cohort design study, using secondary data, samples contain all patients diagnosed with cervical cancer who received chemoradiation therapy from January to December 2017 which is 151 patients. This study revealed that the 5year survival rate is 57.6%. The lowest Person Time is 3 months and the longest is 60 months, average 45.80 months, standard deviation 18.179 months. There was a significant influence on the clinicopathological profile including Age (0.002), Histopathology (0.012), and Stage (0.000). Risk factors: parity (0.000), Education (0.007), Number of Marriages (0.025), Menstrual Disorders (0.021), Contraception (0.004), Cancer History (0.000), Body Mass Index (0.022), Area of residence (0.009). Prognostic factors: chemoradiation type (0.002), chemotherapy type (0.000), radiation type (0.001), radiation technique (0.007). The results indicate that the survival rate of cervical cancer patients with chemoradiation still has tobe concerned.
A Path Analysis Model of Self- vs. Educational-Context- Regulation as Combined Predictors of Well-Being in Spanish College Students

Previous literature has established the importance of personal and contextual factors in college students’ trajectories. Following the Self- vs. External-Regulation Behavior Theory (2021) and the 3P Biggs Model, the present study aimed at analyzing a structural linear model that validates the joint effect of self-regulation, educational context, age, and gender (as personal and contextual presage variables) with other meta-abilities, such as coping strategies, resilience, and positivity (process variables), and specific well-being outcomes, such as flourishing and health (product variables). A sample of 1310 Spanish college students was analyzed, aged 17 to 25, and a cross-sectional study with an ex post facto design was performed. Association and structural equation modeling (SEM) was performed using SPSS software (v.26) and AMOS (v.23). Results show that individual and contextual factors have an important role in the acquisition of psychological competencies in young adults. Self-regulation was proven to be an important meta-ability that predicts personal well-being and behavioral health outcomes. Complementarily, educational context was shown to be an external predictor of other skills, such as problem-focused strategies, and positive outcomes such as flourishing and behavioral health. Practical implications and limitations are discussed.