Miracle-dz/UniFAR-FTUs huggingface dataset:
ECOLOGICAL STUDY OF WEED FLORA OF RUBBER PLANTATION IN KULASEKHARAM, KANYAKUMARI DISTRICT.

Present study was conducted 2017 to 2018 in and around Rubber Plantations in Kulasekharam area, located near Muthukuzhivayal Forest Range. Kulasekharam has many Rubber Plantations that yield high quality latex, which is the town’s major revenue source. Four Rubber Estates viz., Vaikundam, Ambadi, Maruthi, and Ganthimathi have been selected to study the weed flora and its ecology . A total number of 183 weed species were recorded. The dominant weed species were Achyranthes aspera, Asystasia gangetica, Clerodendron infortunatum, Cyanodon dactylon, Hyptis suaveolens, Justicia simplex, Mimosa pudica, Parthenium hysterophorus, Sida cordifolia, Solanum torvum . Grassy weeds were uniformly distributed throughout the selected area. Sida cordifolia was found the most dominant and frequent weed species with Important Value Index (IVI) of 2.63.
Essential autoproteolysis of bacterial anti-σ factor RsgI for transmembrane signal transduction

Autoproteolysis has been discovered to play key roles in various biological processes, but functional autoproteolysis has been rarely reported for transmembrane signaling in prokaryotes. In this study, an autoproteolytic effect was discovered in the conserved periplasmic domain of anti-σ factor RsgIs from Clostridium thermocellum, which was found to transmit extracellular polysaccharide-sensing signals into cells for regulation of the cellulosome system, a polysaccharide-degrading multienzyme complex. Crystal and NMR structures of periplasmic domains from three RsgIs demonstrated that they are different from all known proteins that undergo autoproteolysis. The RsgI-based autocleavage site was located at a conserved Asn-Pro motif between the β1 and β2 strands in the periplasmic domain. This cleavage was demonstrated to be essential for subsequent regulated intramembrane proteolysis to activate the cognate SigI, in a manner similar to that of autoproteolysis-dependent activation of eukaryotic adhesion G protein–coupled receptors. These results indicate the presence of a unique prevalent type of autoproteolytic phenomenon in bacteria for signal transduction.
Analysis of the effect of glutamyltransferase on hyperlipidemia based on decision tree

Objectives This study is designed to analyze the potential influencing factors of hyperlipidemia, and to explore the relationship between liver function indicators such as gamma-glutamyltransferase (GGT) and hyperlipidemia. Methods Data were derived from 7599 outpatients who visited the Department of Endocrinology of the First Hospital of Jilin University (2017–2019). A multinomial regression model is used to identify related factors of hyperlipidemia and the decision tree method is used to explore the general rules in hyperlipidemia patients and non-hyperlipidemia patients on these factors. Results The average of age, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure, aspartate aminotransferase, alanine aminotransferase (ALT), GGT and glycosylated hemoglobin (HbA1c) in the hyperlipidemia group are higher than those in the non-hyperlipidemia group. In multiple regression analysis, SBP, BMI, fasting plasma glucose, 2-h postprandial blood glucose, HbA1c, ALT, GGT are associated with triglyceride. For people with HbA1c less than 6.0%, controlling GGT within 30 IU/L reduces the prevalence of hypertriglyceridemia by 4%, and for people with metabolic syndrome with impaired glucose tolerance controlling GGT within 20 IU/L reduces the prevalence of hypertriglyceridemia by 11%. Conclusions Even when GGT is in the normal range, the prevalence of hypertriglyceridemia increases with its gradual increase. Controlling GGT in people with normoglycemia and impaired glucose tolerance can reduce the risk of hyperlipidemia.
A Qualitative Approach to Exploring the Impact of the Gay Identity Formation Process

Background Most gay men experience difficulty in coming to terms with their sexual orientation, with their health, wellbeing, and quality of life potentially affected by unpleasant experiences often associated with the formation of their gay identity. It is therefore important for nurses to understand the needs of gay men so that they can accompany them and provide quality care during and after the identity formation process. Objective The aim of the study was to explore and describe the identity formation and coming out experiences of gay men. Methods A qualitative design with a constructivist naturalist approach was used. Data were collected through in-depth semi-structured interviews with five gay men with experience of the gay identity formation process, and data were analyzed using a thematic analysis method. Results The results show that the men needed support, as they reported feeling different and alone during the identity formation and coming out process, and that their mental health was affected. Fear of rejection, negative reactions, and disappointing people were the reasons that led the men not to disclose their sexual orientation to family, while those who had come out defined a feeling of liberation. Conclusions The gay identity formation process has potential impacts on health, wellbeing, and quality of life. Nurses need cultural competence training to be able to understand the needs of gay men, accompany them in the identity formation process, and provide individualized and non-heteronormative care. Nurses also need to participate in dismantling a heterosexist social structure.
Influence of Lifestyle Changes on Cardiovascular Diseases in Saudi Arabia: A Systematic Literature Review

In Saudi Arabia, cardiovascular disease (CVD) is one of the main causes of mortality and morbidity. The Kingdom of Saudi Arabia has undergone tremendous socio-economic development and urbanization over the past few decades, which has profoundly changed the lifestyle leading to several risk factors that contribute to the high prevalence of CVD. This systematic review identified significant lifestyle factors associated with CVD risk in order to inform effective interventions to decrease the CVD burden in Saudi Arabia. We researched all published articles and reports evaluating CVD risk factors in Saudi Arabia in the last four years from the following databases: Medline, PubMed, Google Scholar, and Embase. A total of 19 articles and 1 report were included. Physical inactivity was among 69.4% of the population, mostly among Saudi women, and was associated with 1.4-1.5 odds of CVD. Obesity prevalence was 49.6%-57% and was associated with more odds of CVD among women than men (3.3 odds vs. 2.38 odds). More than a third (34.4%) of the Saudi population studied ate unhealthy diets (rich in fat, poor in fibers, less vegetables and fruits, and ultra-processed), which was found to more than triple (almost quadruple) the CVD risks (OR=3.8). Smoking prevalence was 12.2%-26.2% and was more among men. Other factors, such as type 2 diabetes (OR=2.3) and stress (5.4%-16.9%), were also identified as factors. The prevalence of CVD lifestyle-related risk factors is still high in Saudi Arabia, especially physical inactivity, unhealthy diet, obesity, and smoking, which highlights the urgent need for lifestyle modifications and public health campaigns and collaboration among the Saudi government and its partners to effectively improve cardiovascular health in Saudi Arabia.
Bambara Nut Root-Nodules Bacteria from a Semi-Arid Region of South Africa and Their Plant Growth-Promoting Traits

Rhizobial nitrogen-fixing bacteria are the main inhabitants of the root nodules of legume plants. Studying the bacterial community of legume nodules is important in understanding plant growth and nutrient requirements. Culture-based technique was used to examine the bacterial community of these underground organs from Vigna subterranea L. Verdc (Bambara nut), an underutilized legume in Africa, for plant growth-promoting traits. In this study, Bambara nuts were planted to trap root-nodule bacteria, and the bacteria were morphologically, biochemically, and molecularly characterized. Five selected isolates were screened in vitro for their plant growth-promoting traits and exhibited differences in their phenotypic traits. The polymerase chain reaction (PCR) products were subjected to partial 16S rRNA gene sequencing for phylogenetic analysis. Based on 16S rRNA gene sequence, the isolates were identified as BA1 (Stenotrophomonas maltophilia), BA2 (Chryseobacterium sp.), BA3 (Pseudomonas alcaligenes), BA4 (Pseudomonas plecoglossicida), and BA5 (Pseudomonas hibiscicola). Results showed that four of the five isolates could produce IAA. The capability to solubilize phosphate in Pikovskaya's agar plates was positively shown by four isolates (BA2, BA3, BA4, and BA5). Three isolates could produce hydrogen cyanide while isolates BA1, BA3, BA4, and BA5 were found to have ammonia-production traits. The results suggest that these plant growth-promoting isolates can be used as inoculants for plant growth and productivity.
ISAR Target Recognition Based on Two-dimensional Locality Preserving Projection

It is well known that the relationship between different radar target data is often nonlinear, so the recognition rate will decrease if the traditional linear subspace methods are used to reduce the dimension of inverse synthetic aperture radar (ISAR) images. Recently, Locality Preserving Projections (LPP), a kind of manifold learning algorithm, is proposed for ISAR target recognition. But the ISAR images must be vectorized in LPP algorithm,which would result in the problem of singularity, and the local structural information from original images is easy to lose. In this paper, a novel ISAR target recognition algorithm is presented by using two-dimensional Locality Preserving Projections (2DLPP). The proposed 2DLPP algorithm is based directly on 2D ISAR images rather than 1D vectors as conventional LPP does. The simulated experimental results suggested that 2DLPP has better classification performance comparing to PCA,LDA and LPP.
Pedestrians’ behavior in emergency evacuation: Modeling and simulation*

The social force model has been widely used to simulate pedestrian evacuation by analyzing attractive, repulsive, driving, and fluctuating forces among pedestrians. Many researchers have improved its limitations in simulating behaviors of large-scale population. This study modifies the well-accepted social force model by considering the impacts of interaction among companions and further develops a comprehensive model by combining that with a multi-exit utility function. Then numerical simulations of evacuations based on the comprehensive model are implemented in the waiting hall of the Wulin Square Subway Station in Hangzhou, China. The results provide safety thresholds of pedestrian density and panic levels in different operation situations. In spite of the operation situation and the panic level, a larger friend-group size results in lower evacuation efficiency. Our study makes important contributions to building a comprehensive multi-exit social force model and to applying it to actual scenarios, which produces data to facilitate decision making in contingency plans and emergency treatment.
Antenatal depression: Associations with birth and neonatal outcomes among women attending maternity care in Harare, Zimbabwe

Introduction Antenatal depression is highly prevalent and is associated with negative birth and neonatal outcomes. However, the mechanisms and causality behind these associations remain poorly understood as they are varied. Given the variability in whether associations are present, there is need to have context-specific data to understand the complex factors that go into these associations. This study aimed to assess the associations between antenatal depression and birth and neonatal outcomes among women attending maternity care in Harare, Zimbabwe. Methods We followed 354 pregnant women in second or third trimester, attending antenatal care services in two randomly selected clinics in Harare, Zimbabwe. Antenatal depression was assessed using the Structured Clinical Interview for DSM-IV. Birth outcomes included birth weight, gestational age at delivery, mode of delivery, Apgar score, and initiation of breastfeeding within one-hour postdelivery. Neonatal outcomes at six weeks postdelivery included infant’s weight, height, illness, feeding methods and maternal postnatal depressive symptoms. The association between antenatal depression and categorical and continuous outcomes were assessed by logistic regression and point-biserial correlation coefficient, respectively. Multivariable logistic regression determined the confounding effects on statistically significant outcomes. Results Prevalence of antenatal depression was 23.7%. It was associated with low birthweight [AOR = 2.30 (95% CI: 1.08–4.90)], exclusive breastfeeding [AOR = 0.42 (95%CI: 0.25–0.73)] and postnatal depressive symptoms [AOR = 4.99 (95%CI: 2.81–8.85)], but not with any other birth or neonatal outcomes measured. Conclusions The prevalence of antenatal depression in this sample is high with significant associations demonstrated for birth weight, maternal postnatal depressive symptoms and infant feeding methods Effective management of antenatal depression is thus crucial to the promotion of maternal and child health.
Online ordering strategy for the discrete newsvendor problem with order value-based free-shipping

Suppliers always provide free-shipping for retailers whose total order value exceeds or equals an explicit promotion threshold. This paper incorporates a shipping fee in the discrete multi-period newsvendor problem and applies Weak Aggregating Algorithm (WAA) to offer explicit online ordering strategy. It further considers an extended case with salvage value and shortage cost. In particular, online ordering strategies are derived based on return loss function. Numerical examples serve to illustrate the competitive performance of the proposed ordering strategies. Results show that newsvendors' cumulative return losses are affected by the threshold of the order value-based free-shipping. Moreover, the introduction of salvage value and shortage cost greatly improves the competitive performance of online ordering strategies.
Energy level engineering in colloidal quantum dot solar cells

Lead sulfide colloidal quantum dots (PbS QDs) possess a uniquely tunable set of electronic properties that has generated considerable interest in their use as active materials in lightweight, flexible, solution-processed photovoltaics. The bandgap of PbS QDs can be tuned across the entire range relevant for solar cells through modification of the QD size, and a range of other QD electronic properties can be modified through control of the chemical ligands bound to the QD surface. In this thesis we demonstrate how control of the energy level profile within PbS QD solar cells can be used to understand and improve their operation. First, we demonstrate that improvements in power conversion efficiency may be attained for ZnO/PbS QD heterojunction photovoltaics through the incorporation of a MoO3 interlayer between the PbS QD film and the top-contact anode. The deep-work-function MoO3 layer mitigates a Schottky junction that would otherwise form at the PbS / anode interface, resulting in performance improvements for devices employing a range of different anode materials. Then, we demonstrate how the tunable bandgap of PbS QDs can be used to elucidate chargeand exciton-transfer processes within hybrid organic /QD photovoltaic devices that demonstrate singlet exciton fission. We find that PbS QDs can accept electrons from triplets generated by singlet fission in pentacene and act as low-bandgap light absorbers complementary to the singlet fission material, and we explore the dependence of the triplet dissociation process on the energy levels of the QDs. Finally, we show that the energy levels of lead sulfide QDs, measured by ultraviolet photoelectron spectroscopy, shift by up to 0.9 eV between different chemical ligand treatments. The directions of these energy shifts match the results of density functional theory calculations and scale with the ligand dipole moment, and trends in the performance of photovoltaic devices employing ligand-modified QD films are consistent with the measured energy level shifts. These studies identify energy level shifts resulting from interface modification, QD bandgap modification through size control, and ligand-induced surface dipoles as means of predictably controlling the electronic properties of colloidal QD films and as
Strategies to Engage Blacks in Sleep Medicine: Lessons Learned from Three Studies Applying Community-Based Participatory Research Principles

Introduction: Awareness, assessment and treatment of sleep apnea are disproportionately lower among Blacks, compared to other racial/ethnic groups. To address this health disparity gap, communication strategies that connect Blacks to OSA education, detection and treatment adherence interventions are needed. Strategies that engage individuals through communication technologies, community-level social network support, and medical providers in clinical settings are also needed. We present lessons learned from three studies that offer these solutions using a community-engaged research model: The Metabolic Syndrome Outcome Study (MetSO), Peer-enhanced Education to Reduce Sleep Ethnic Disparities (PEERS-ED), and Tailored Approach to Sleep Health Education (TASHE), to capture program effectiveness and lessons learned from project successes and failures. Methods: The methods of OSA community-based programs included the application of an OSA community-engaged research model. This model served as a strategic guideline for effective interventions to engage communities in research and ensure cultural appropriateness in OSA interventions. Focus groups, in-depth interviews and community steering committee meetings were conducted with various stakeholders. Delphi surveys were used to identify high priority diseases and conditions. Community barriers and needs were identified through iterative combinations of surveys and focus group meetings. Stakeholder groups participated in all aspects of our studies, including the development, dissemination and implementation phases, reflecting a bi-directional decision-making process that ensures the interests of both parties were considered. The MetSO, PEERS-ED and TASHE studies were reviewed to understand the effectiveness of the programs and to evaluate lessons learned. Results: MetSO, PEERS-ED and TASHE interventions revealed that community-engaged strategies are successful in enrolling Black populations into clinical trials. The study teams reached nearly 3,000 Blacks at risk of OSA and screened about 2,000 people in sleep apnea studies in New York City. Sleep brochures were distributed to over 10,000 people. Lessons learned from MetSO, PEERS-ED and TASHE interventions revealed that building relationships, establishing trust, identifying a study champion, learning to adjust and providing participant incentives are key strategic elements for successful recruitment and retention of Blacks participations in clinical trials. Conclusion: Strategic application of community-oriented frameworks ensures active community engagement throughout the research process, allowing for greater enrollment of Blacks in clinical studies as well as increased OSA awareness, diagnosis, and treatment.
High-Flow Nasal Oxygen versus Noninvasive Ventilation in Acute Exacerbation of Chronic Obstructive Pulmonary Disease Patients: A Meta-Analysis of Randomized Controlled Trials

Background High-flow nasal cannula (HFNC) can be used in stable chronic obstructive pulmonary disease (COPD) patients, but the effect of HFNC on clinical outcomes in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is still uncertain. Methods We searched electronic literature databases for randomized controlled trials (RCTs) comparing HFNC with noninvasive ventilation (NIV) in hypercapnic patients with AECOPD. The primary endpoint of this meta-analysis was PaCO2, PaO2, and SpO2. The secondary outcomes were the respiratory rate, mortality, complications, and intubation rate. Results We included 7 RCTs with a total of 481 patients. There were no significant differences on measures of PaCO2 (MD = −0.42, 95%CI −3.60 to 2.75, Z = 0.26, and P = 0.79), PaO2 (MD = −1.36, 95%CI −4.69 to 1.97, Z = 0.80, and P = 0.42), and SpO2 (MD = −0.78, 95%CI −1.67 to 0.11, Z = 1.72, P = 0.08) between the HFNC group and the NIV group. There was no significant difference in measures of the mortality and intubation rate between the HFNC group (OR = 0.72, 95%CI 0.30 to 1.69, Z = 0.76, and P = 0.44) and the NIV group (OR = 2.38, 95%CI 0.49 to 11.50, Z = 1.08, and P = 0.28), respectively. But the respiratory rate in the HFNC group was lower than that in the NIV group (MD = −1.13, 95%CI −2.13 to −0.14, Z = 2.23, and P = 0.03), and fewer complications were found in the HFNC group (OR = 0.26, 95%CI 0.14 to 0.47, Z = 4.46, and P < 0.00001). Conclusion NIV was noninferior to HFNC in decreasing PaCO2 and increasing PaO2 and SpO2. Similarly, the mortality and intubation rate was similar among the two groups. The respiratory rate and complications were inferior in the AECOPD group treated with HFNC.
Safety and efficacy of pimecrolimus versus vehicle for the treatment of atopic dermatitis in adults and paediatric population: a systematic review and meta-analysis

Introduction: Atopic dermatitis remains a widespread problem affecting various populations globally. While numerous treatment options have been employed, pimecrolimus remains a potent and viable option. Recently, there has been increasing interest in comparing the safety and efficacy of pimecrolimus with its vehicle. Methods: The authors conducted a comprehensive search of several databases, including PubMed, COCHRANE, MEDLINE, and Cochrane Central, from inception to May 2022, using a wide search strategy with Boolean operators. The authors also employed backward snowballing to identify any studies missed in the initial search. The authors included randomized controlled trials in our meta-analysis and extracted data from the identified studies. The authors used Review Manager (RevMan) Version 5.4 to analyze the data, selecting a random-effects model due to observed differences in study populations and settings. The authors considered a P-value of 0.05 or lower to be statistically significant. Results: The authors initially identified 211 studies, of which 13 randomized controlled trials involving 4180 participants were selected for analysis. Our pooled analysis revealed that pimecrolimus 1% was more effective at reducing the severity of atopic dermatitis than its vehicles. However, no significant difference was observed in adverse effects between pimecrolimus and vehicle, except for pyrexia, nasopharyngitis, and headache, which were increased with pimecrolimus. Conclusion: Our meta-analysis showed that pimecrolimus 1% is more effective than vehicle, although the safety profile remains inconclusive. Pimecrolimus reduced the Investigator’s Global Assessment score, Eczema Area and Severity Index score, and severity of pruritus when compared to its vehicle, indicating a higher efficacy profile. This is one of the first meta-analyses to assess the efficacy and safety profile of pimecrolimus 1% against a vehicle and may assist physicians in making informed decisions.