Results Of Analyses Research Articles

A model of hope as a protective measure to lower burnout and secondary traumatic stress among employees working in developmental and intellectual disabilities services.

Burnout and secondary traumatic stress (STS) are problems for the workforce supporting people with developmental disabilities. This study investigated hope as a potential protective resource for burnout and STS among the developmental disability services workforce. One hundred and fifty-two non-supervisor caseworkers from a state agency, developmental disabilities division were recruited to participate in an anonymous web-based survey. The analyses showed that hope was negatively associated with the three dimensions of STS (intrusion, avoidance, and arousal) and burnout. Controlling for tenure in the workforce and STS, the results of the hierarchical regression analyses showed that hope accounted for a significant incremental variance to burnout. These findings provide support for emerging literature showing hope as a protective resource to workforce burnout.

Digital Culture, Knowledge, and Commitment to Digital Transformation and Its Impact on the Competitiveness of Portuguese Organizations

This study aimed to understand the impact of digital culture on companies’ knowledge and constant commitment to digital transformation, as well as its impact on organizations as a whole. Secondly, it aimed to explore the impact of digital technology adoption on organizational performance and competitiveness. Finally, the study investigated the role of knowledge management during digital transformation. A quantitative study was developed using a descriptive design. A questionnaire was developed on pre-test was carried out withon 15 participants and since no doubts or difficulties were detected, it was made available on the internet between January and April 2022. A total of 291 questionnaires were collected and validated. Data were imported from Google Forms for analysis in SPSS, version 25.0, andSmartPLS® 4.0 software. The questionnaire revealed good internal consistency (α = 0.922). Ten of the twelve hypotheses were confirmed, that is, the existence of positive and significant relationships between digital culture (DC) and knowledge of digital transformation (KDT); DC and adoption of digital technologies (ADT); DC and knowledge management (KM); commitment (C) and KDT; C and productivity (P); KDT and ADT; ADT and KM; ADT and P; ADT and C; and P and C. The results of regression analyses showed that the variables that contributed to the model (“competitiveness of organizations”) were productivity, the adoption of digital technologies, commitment to digital technologies, and knowledge management. The variables CD and KDT (Knowledge of digital transformation) presented lower and non-significant values.

Effects of Lamiaceae family plants and their bioactive ingredients on coronavirus-induced lung inflammation.

Coronaviruses (CoVs) are a family of viruses that cause infection in respiratory and intestinal systems. Different types of CoVs, those responsible for the SARS-CoV and the new global pandemic of coronavirus disease 2019 in people, have been found. Some plants were used as food additives: spices and dietary and/or medicinal purposes in folk medicine. We aimed to provide evidence about possible effects of two Lamiaceae family plants on control or treatment of CoVs-induced inflammation. The keywords including coronaviruses, Thymus vulgaris, Zataria multiflora, thymol, carvacrol, antivirus, and anti-inflammatory and antioxidant effects were searched in various databases such as PubMed, Web of Sciences (ISI), and Google Scholar until September 2022. The medicinal herbs and their main ingredients, thymol and carvacrol, showed antiviral properties and reduced inflammatory mediators, including IL-1β; IL-6, and TNF-α, at both gene and protein levels but increased the levels of IFN-γ in the serum as anti-inflammatory cytokine. These medicinal herbs and their constituents also reduce oxidative stress and enhance antioxidant capacity. The results of molecular docking analyses also indicated that polyphenol components such as thymol, carvone, and carvacrol could inhibit the entry of the viruses into the host cells in molecular docking analyses. The antiviral, anti-inflammatory, and antioxidant effects of these plants may be due to actions of their phenolic compounds that modulate immune response and may be useful in the control and treatment of CoV-induced lung disorder.

E-work self-efficacy, digital competence and work engagement of teachers in public secondary schools from two provinces in the Philippines

This descriptive-correlational research design aimed to
 determine the significant relationships between e-work self-efficacy,
 digital competence and work engagement of teachers in secondary
 schools in the Philippines. The respondents of the study were 244
 teachers from public secondary from two provinces. They were
 selected through Simple Random Sampling. The study was
 conducted via online forms. The gathered data were treated using
 statistical tools such as Mean, Standard Deviation, Pearson r, Hayes
 Process and Multiple Linear Regression. The results of the study
 suggest that enhancing e-work self-efficacy and digital competence
 may lead to increased work engagement, which could ultimately lead
 to better job performance and satisfaction in the context of remote
 work. The results of moderation analyses revealed that the
 respondents’ profile age, length of service, and academic rank
 significantly moderated the relationship between e-work selfefficacy and work engagement. Hence, the hypothesis stating that
 the respondents’ profile variables do not significantly moderate
 between e-work self-efficacy and work engagement and also the
 hypothesis stating that the respondents’ profile variables do not
 significantly moderate between digital competence and work
 engagement of the respondents were both partly upheld. The result
 of regression analysis identified the digital competence singly
 predict the Work Engagement of the respondents. Moreover, the
 regression further revealed that digital competence and e-work selfefficacy in combination predict the work engagement of the
 respondents. Hence, the hypothesis stating that the respondents’
 profile, e-work self-efficacy, and digital competence do not
 significantly predict their work engagement was partly upheld.

Thermo-responsive polymer-based Janus biogenic-nanosilica composite, part B: Experimental study as a multi-functional synergistic shale stabilizer for water-based drilling fluids

Wellbore instability caused by shale swelling and dispersion has always been a thorny issue for drilling complex formations. Nanotechnology has offered a revolutionary solution for shale stabilization in water-based drilling fluids (WBDFs). Recent technological advancement in nanomaterials for optimal performance using economically and environmentally sustainable pathway is an utmost desire in oil and gas industries. In this research, Janus nanocomposite (TRJN) with rice husk (RH)-extracted biogenic nanosilica core (RH-NSP) having the shell integrating synergistic benefits of thermo-responsive and amino-based materials, which was reported in our previous work was assessed as a novel shale stabilizer in drilling fluids. The product is anticipated to simultaneously improve the chemical inhibition and nanoplugging performances in shaly formations. TRJN was assessed as an additive in WBDF in comparison with symmetrical thermo-responsive polymer-based nanocomposite (TRN) counterpart and parent RH-NSP. Results from the rheological test revealed that, albeit both nanocomposites (i.e., TRN and TRJN) could provide a certain rheological control above the LCST compared to RH-NSP, but TRJN-blended fluid was less sensitive to increasing temperatures. The inhibitory effects were investigated based on cuttings hot rolling recovery rate, linear swelling rate, pressure penetration rate, tensile strength of shale reduction rate, and high temperatures and high pressures filtration loss. TRJN demonstrated higher chemical inhibition compared to RH-NSP and TRN, driving a better capacity to control pressure penetration. The higher mean free energy of TRJN/Na-Mt (sodium montmorillonite) system than TRN/Na-Mt system was an indication of its stronger interactions with Na-Mt particle, which triggered changes in microstructures, considering the results of zeta potential, FT-IR, surface wettability, X-ray diffraction, and SEM analyses. This, therefore contributing to firmly trap the TRJN into the multi-scale pore structure of the shale and beneficially promoted the construction of a tight hydrophobic plugging layer over the shale surface from the outward face. Lastly, the synergistic enhancement mechanisms of shale inhibition with TRJN was further proposed.

A-site K-doped lanthanum manganite nanocrystalline La0.67Ba0.33MnO3 for room-temperature micro-scale magnetic cooling

Bulk nanocrystalline La0.67Ba0.33−xKxMnO3 (with x = 0, 0.05, 0.1, and 0.2) manganites have been prepared by the modified sol-gel method (Pechini). The single-phase rhombohedral crystal structure with the R-3c (no. 167) space group was verified by X-ray diffraction (XRD) and sustained by Rietveld refinement. As follows from the results of XRD structural analyses, the increase in K-doping triggers an increase in the distortion of the MnO6 octahedra, which eventually causes the narrowing of the eg bandwidth. Mn is in a mixed valence state of Mn4+/Mn3+ as inferred by X-ray photoelectron spectroscopy. Magnetic measurements confirm that the Curie temperature decreases from 348 K for La0.67Ba0.33MnO3 to 316 K for La0.67Ba0.13K0.20MnO3. The increasing of the Mn4+ ion concentration at the B-site sublattice and A-site ionic disorder (σ2) breaks up the double exchange interaction between the Mn3+ and Mn4+ ions. The ferromagnetic to paramagnetic second-order magnetic phase transition at TC is also confirmed by electron paramagnetic resonance. According to magnetic field-dependent magnetization isotherms at different temperatures, La0.67Ba0.13K0.20MnO3 shows a relatively large magnetocaloric effect (1400 mJ cm−3 K−1 at 316 K under 5 T applied magnetic field), which raises the possibility of using this material for room-temperature micro-scale magnetic cooling.

Recovery from work by playing video games

AbstractIntegrating the dualistic model of passion in the recovery literature, the present study investigates how playing video games after work hours can facilitate recovery from work stress. We predicted that passion for gaming would relate to gaming more hours in the evening. Next, we hypothesized that playing video games in the evening would relate to (a) feeling recovered the next morning through psychological detachment and (b) feeling vigorous the next morning through mastery experiences while gaming. We further hypothesized that harmonious passion would strengthen, and obsessive passion would weaken the links between gaming hours and (a) psychological detachment and (b) mastery. In total, 65 employees filled in short questionnaires in the mornings and evenings of at least five workdays (total n = 502). Results of multilevel hierarchical regression analyses supported the proposed mediation model, indicating that playing video games indeed helps replenish energy resources during leisure time. Findings additionally showed that gaming also predicted feeling recovered in the morning through mastery experiences. Players with a harmonious passion may benefit more from playing video games; harmonious (but not obsessive) passion strengthened the relationship between gaming and mastery experiences.

Reflections on the beginnings of ancient Russian glassmaking

The origin of non-alkaline lead-silica (PbO•SiO2) and lead-potassium-silica(PbO•K2O•SiO2) glass-forming technologies, which many Russian researchers believe to be typical ofancient Russian glassmaking and attesting to independent glassmaking in early 11th c. Rus’, is discussedin this paper, limited to a few selected aspects of the issue. Research has proposed two sources of thesetechnologies adopted in Rus’: Byzantium (Shchapova, Noonan) and, in the case of the first one, theFar East (Brill). The number of discoveries of glasses of these two chemical types, both artifacts andproduction waste, from Europe as well as from the Far East in particular, has grown in the past fewdozen years. New studies presenting the results of chemical composition analyses of glasses of thesetypes have also increased exponentially. The growing body of data substantiates a return to the subjectof the origins of ancient Rus’ glassmaking. The research should be based on a comparative analysisof the results of laboratory tests of remains from workshops of type A (with full production cyclesattested) as well as ready products found in ancient Rus’ and in other regions, especially in the Far East.

Predicting functional adequacy from complexity, accuracy, and fluency of second-language picture-prompted speaking

Functional adequacy (FA) is a construct of task achievement in communicative settings and focuses on the extent to which task requirements are satisfied by effectively conveying intended messages. Recent studies in second-language speaking and writing have emphasized the importance of FA in addition to complexity, accuracy, and fluency (CAF); FA and CAF are combined into the acronym CAFFA. This study aims to investigate (a) the extent to which CAF measures can explain FA holistic ratings in oral picture narration among Japanese learners of English; (b) how these results are moderated by different picture tasks; and (c) the comparability of means, variances, and correlations of the same FA ratings and CAF measures across tasks. Results of multiple regression analyses indicate that only a speed fluency measure (syllables per minute) significantly predicts FA, while a substantial proportion of FA remains unexplained by CAF, highlighting the separate and related nature of the two constructs. Moreover, the prediction of FA by CAF is consistent across picture tasks, with means and variances of FA and CAF measures being generally comparable, and with correlations of the same measures across tasks not being consistently strong, except for syllables per minute. The paper discusses implications and offers suggestions for future research.

Inter-Specimen Analysis of Diverse Finite Element Models of the Lumbar Spine.

Over the past few decades, there has been a growing popularity in utilizing finite element analysis to study the spine. However, most current studies tend to use one specimen for their models. This research aimed to validate multiple finite element models by comparing them with data from in vivo experiments and other existing finite element studies. Additionally, this study sought to analyze the data based on the gender and age of the specimens. For this study, eight lumbar spine (L2-L5) finite element models were developed. These models were then subjected to finite element analysis to simulate the six fundamental motions. CT scans were obtained from a total of eight individuals, four males and four females, ranging in age from forty-four (44) to seventy-three (73) years old. The CT scans were preprocessed and used to construct finite element models that accurately emulated the motions of flexion, extension, lateral bending, and axial rotation. Preloads and moments were applied to the models to replicate physiological loading conditions. This study focused on analyzing various parameters such as vertebral rotation, facet forces, and intradiscal pressure in all loading directions. The obtained data were then compared with the results of other finite element analyses and in vivo experimental measurements found in the existing literature to ensure their validity. This study successfully validated the intervertebral rotation, intradiscal pressure, and facet force results by comparing them with previous research findings. Notably, this study concluded that gender did not have a significant impact on the results. However, the results did highlight the importance of age as a critical variable when modeling the lumbar spine.

Dynamic Expression Profile of Follicles at Different Stages in High- and Low-Production Laying Hens.

Improving the efficiency of hens and extending the egg-laying cycle require maintaining high egg production in the later stages. The ovarian follicles, as the primary functional units for ovarian development and oocyte maturation, play a crucial role in regulating the continuous ovulation of hens. The egg production rate of laying hens is mostly affected by proper follicle growth and ovulation in the ovaries. The objective of this study was to identify the key genes and signaling pathways involved in the development of ovarian follicles in Taihang hens through transcriptome screening. In this study, RNA sequencing was used to compare and analyze the transcriptomes of ovarian follicles at four developmental stages: small white follicles (SWF), small yellow follicles (SYF), F5 follicles, and F2 follicles, from two groups: the high continual production group (H-Group) and the low continual production group (L-Group). A total of 24 cDNA libraries were constructed, and significant differential expression of 96, 199, 591, and 314 mRNAs was detected in the SWF, SYF, F5, and F2 follicles of the H and L groups, respectively. Based on the results of GO and KEGG enrichment analyses, each stage of follicle growth possesses distinct molecular genetic features, which have important effects on follicle development and significantly promote the formation of continuous production traits through the biosynthesis of steroid hormones, cytokine-cytokine receptor interaction, and neuroactive ligand-receptor interaction. Additionally, through STEM analysis, we identified 59 DEGs, including ZP4, KCNH1, IGFs, HMGA2, and CDH1, potentially associated with follicular development within four significant modules. This study represents the first transcriptome investigation of follicles in hens with high and low egg-producing characteristics at four crucial developmental stages. These findings provide important molecular evidence for understanding the regulation of follicular development and its variations.

IMPROVEMENT OF THE METHOD OF DIAGNOSTICS OF HIGH-VOLTAGE TRANSFORMERS VOLTAGE BASED ON THE RESULTS OF CHROMATOGRAPHIC ANALYSES OF TRANSFORMER OILS

The relevance of the work is due to the need to improve methods for diagnosing high-voltage oil-filled voltage transformers with paper-oil electrical insulation, which makes it possible to solve the problems of monitoring the technical condition, finding the place and determining the causes of failure (malfunction), and predicting the technical condition of this equipment on the basis of appropriate diagnostic software. The aim of the work is to ensure the reliability of operation of high-voltage oil-filled voltage transformers with paper-oil electrical insulation by improving the method of their diagnosis based on the results of analyses of samples of mineral transformer oils by gas chromatography. In accordance with the research objective, the following tasks were solved: 1. Determine the content of such dissolved diagnostic components in samples of mineral transformer oils from high-voltage oil-filled voltage transformers of NKF-110, NKF-220, NKF-330 types as gases H2, CH4, C2H6, C2H4, C2H2, CO, CO2, O2, N2; additive "Ionol"; furan compounds (2-furyl alcohol; 2-furfural; 2-acetylfuran; 5-methyl-2-furfural) and the sum of their concentrations. 2. The basic procedures for diagnosing high-voltage oil-filled voltage transformers based on the results of analyses of mineral transformer oil samples with the determination of the content of dissolved diagnostic components in them were improved. For the diagnosis of high-voltage oil-filled voltage transformers based on the results of gas chromatographic analyses of samples of mineral transformer oils from this equipment, it is recommended to use the following methods: "Limit level of concentrations", "Tabular method", "Graphic images of defects", "ETRA", "Duval triangle", "Visual inspection after disassembly of high-voltage oil-filled voltage transformers". To determine the degree of danger of the development of the identified probable defects, the method of determining the "Relative growth rate of dissolved gas concentrations" can be used. The prospect of practical application of the results of the work is to ensure the reliability of operation of high-voltage oil-filled voltage transformers by improving the method of their diagnosis based on the results of analyses of samples of mineral transformer oils with simultaneous determination of the content of dissolved gases, the additive "Ionol", furan compounds by gas chromatography.

MIMIC-CXR Radyoloji Raporlarının DDİ Yöntemleriyle Anlamsal ve Yapısal Analizi

Artificial intelligence that aims to imitate human decision-making processes, using human knowledge as a foundation, is a critical research area with various practical applications in different disciplines. In the health domain, machine learning and image processing techniques are increasingly being used to assist in diagnosing diseases using laboratory results, findings, MRI, tomography, or radiology images, and etc. However, many healthcare reports, such as epicrisis summaries prepared by clinical experts, contain crucial and valuable information. In addition to information extraction from healthcare reports, applications such as automatic healthcare report generation are among the natural language processing research areas based on this knowledge and experience. The primary goals are to reduce the workload of clinical experts, minimize the likelihood of errors, and save time to speed up the diagnosis process. The MIMIC-CXR dataset is a huge dataset consisting of chest radiographs and reports prepared by radiology experts related to these images. This study focuses on the structural and semantic analysis of MIMIC-CXR radiography reports. Before developing a natural language processing-based model, preprocessing steps were applied to the dataset, and the results of syntactic and semantic analyses performed on unstructured report datasets are presented. This study is expected to provide insights for developing language models, particularly for developing a natural language processing model on the MIMIC-CXR dataset.

BLOC1S1 promotes proliferation of goat spermatogonial stem cells

With the rapid development of gene editing technology, the study of spermatogonial stem cells (SSCs) holds great significance in understanding spermatogenesis and its regulatory mechanism, developing transgenic animals, gene therapy, infertility treatment and protecting rare species. Biogenesis of lysosome-related organelles complex 1 subunit 1 (BLOC1S1) is believed to have anti-brucella potential. Exploring the impack of BLOC1S1 on goat SSCs not only helps investigate the ability of BLOC1S1 to promote SSCs proliferation, but also provides a cytological basis for disease-resistant breeding research. In this study, a BLOC1S1 overexpression vector was constructed by homologous recombination. The BLOC1S1 overexpression cell line of goat spermatogonial stem cells was successfully constructed by lentivirus packaging, transfection and puromycin screening. The overexpression efficiency of BLOC1S1 was found to be 18 times higher using real time quantitative PCR (RT-qPCR). Furthermore, the results from cell growth curve analysis, flow cytometry for cell cycle detection, and 5-ethynyl-2'-deoxyuridine (EdU) staining showed that BLOC1S1 significantly increased the proliferation activity of goat SSCs. The results of RT-qPCR, immunofluorescence staining and Western blotting analyses revealed up-regulation of proliferation-related genes (PCNA, CDK2, CCND1), and EIF2S3Y, a key gene regulating the proliferation of spermatogonial stem cells. These findings strongly suggest that the proliferative ability of goat SSCs can be enhanced through the EIF2S3Y/ERK pathway. In summary, this study successfully created a goat spermatogonial stem cell BLOC1S1 overexpression cell line, which exhibited improved proliferation ability. This research laid the groundwork for exploring the regulatory role of BLOC1S1 in goat spermatogonia and provided a cell platform for further study into the biological function of BLOC1S1. These findings also establish a foundation for breeding BLOC1S1 overexpressing goats.

User‐friendly relative quantification procedure for gas chromatography/mass spectrometry–based plasma metabolome analysis

RationaleRecently, metabolome analysis has been applied to a variety of research fields, but differences between batches or facilities can cause discrepancies in the results of such analyses. To resolve these issues using comprehensive metabolome analysis, in which it is difficult to perform quantitative analyses of all detected metabolites, internal standard compounds are used to obtain relative metabolite levels. This study investigated gas chromatography/mass spectrometry–based plasma metabolome analysis methods that are superior to relative quantification using internal standard compounds.MethodsIn experiment I, four analyses were performed under different analytical conditions at one facility, and then the data from the four analyses were compared. In experiment II, the same samples were analyzed at three facilities, and then the data from the three facilities were compared.ResultsRegarding the relative values obtained through comparisons with the internal standard compound, differences in the analytical results were observed among the four analytical conditions in experiment I and among the three facilities in experiment II, and the differences observed among the three facilities (experiment II) were larger. When correction was performed using plasma as a quality control, which is the procedure suggested in this study, these differences were markedly ameliorated.ConclusionThe suggested procedure involves the analysis of a plasma standard as a quality control for each batch and the calculation of relative target plasma to quality‐control plasma values for each metabolite. This is an easy and low‐cost method and could be readily employed by researchers during comprehensive plasma metabolome analysis.

The causal effects between gut microbiota and hemorrhagic stroke: a bidirectional two-sample Mendelian randomization study.

Recent studies have suggested that the composition of gut microbiota (GM) may change after intracerebral hemorrhage. However, the causal inference of GM and hemorrhagic stroke is unknown. Mendelian Randomization (MR) is an effective research method that removes confounding factors and investigates the causal relationship between exposure and outcome. This study intends to explore the causal relationship between GM and hemorrhagic stroke with the help of MR. Univariable and multivariable MR analyses were performed using summary statistics of the GM (n = 18,340) in the MiBioGen consortium vs. the FinnGen consortium R9 summary statistics (intracerebral hemorrhage, subarachnoid hemorrhage, and nontraumatic intracranial hemorrhage). Causal associations between gut microbiota and hemorrhagic stroke were analyzed using inverse variance weighted, MR-Egger regression, weighted median, weighted mode, simple mode, and MR-PRESSO. Cochran's Q statistic, MR-Egger regression, and leave-one-out analysis were used to test for multiplicity and heterogeneity of instrumental variables. Separate reverse MR analyses were performed for microbiota found to be causally associated with hemorrhagic stroke in the forward MR analysis. Also, multivariate MR analyses were conducted after incorporating common confounders. Based on the results of univariable and multivariate MR analyses, Actinobacteria (phylum) (OR, 0.80; 95%CI, 0.66-0.97; p = 0.025) had a protective effect against hemorrhagic stroke, while Rikenellaceae RC9 gut group (genus) (OR, 0.81; 95%CI, 0.67-0.99; p = 0.039) had a potential protective effect. Furthermore, Dorea (genus) (OR, 1.77; 95%CI, 1.27-2.46; p = 0.001), Eisenbergiella (genus) (OR, 1.24; 95%CI, 1.05-1.48; p = 0.013) and Lachnospiraceae UCG008 (genus) (OR, 1.28; 95%CI, 1.01-1.62; p = 0.041) acted as potential risk factors for hemorrhagic stroke. The abundance of Dorea (genus) (β, 0.05; 95%CI, 0.002 ~ 0.101; p = 0.041) may increase, and that of Eisenbergiella (genus) (β, -0.072; 95%CI, -0.137 ~ -0.007; p = 0.030) decreased after hemorrhagic stroke according to the results of reverse MR analysis. No significant pleiotropy or heterogeneity was detected in any of the MR analyses. There is a significant causal relationship between GM and hemorrhagic stroke. The prevention, monitoring, and treatment of hemorrhagic stroke through GM represent a promising avenue and contribute to a deeper understanding of the mechanisms underlying hemorrhagic stroke.

Learners’ Perceptions of Writing Difficulties on a Pre-sessional EAP Programme in a British University

This study examines how learners’ perceptions of their academic writing difficulties changed over the course of a four-week intensive English for Academic purposes (EAP) programme at a British university. The participants of this qualitative study were 14 Chinese undergraduate students who engaged in interviews and completed learning journal entries. The results of the thematic analyses indicate that vocabulary which constituted the biggest perceived challenge in Week 1 was no longer mentioned in Week 4 as a source of writing difficulty. Another finding is that after four weeks, students felt they had a better understanding of argumentation in a UK academic context and were not facing major difficulties with using sources and the understanding of argumentation in a UK academic context; they also reported that they were not facing major difficulties with using sources and understanding plagiarism in written assignments. Upon completion of the EAP course, students also reported that they tended to experience noticeably fewer challenges with academic reading. This qualitative study provides insights into the contribution of pre-sessional programmes in the development of learners’ writing as they transition into the academic community.

Chemical Characteristics and Biotechnological Potentials of Mumio

Mumio is a valuable substance that ranges in color from pale brown to blackish-brown and is obtained from rock layers in various mountain ranges worldwide, particularly in the Tien Shan ranges of Kyrgyzstan. It is also a natural chemical found largely in the Himalayas, created over ages by the progressive degradation of particular plants by bacteria. Mumio is essentially a nutraceutical product with considerable human health advantages. To fully appreciate the predicted impact of mumio use in the medical area, particularly in neurological sciences, more research at both the fundamental biology level and through well-designed clinical trials is required. This involves a thorough examination of the various organic and inorganic elements that contribute to Mumio's therapeutic efficacy.The paper also dives into the results of Mumio's comprehensive biological and biotechnological analyses. These scientific research have revealed the mechanisms of action of this natural chemical and confirmed its medicinal claims. The article seeks to offer a full review of Mumio by merging traditional medicine knowledge, chemical analysis, and scientific assessments, stressing its relevance in traditional medicine and its potential for life science activities.

Optimizing The Potential and Development Strategy of The Mangrove Ecotourism Area in Tangkolak Village, Karawang Regency

The Tangkolak mangrove ecotourism area is one of natural attractions, namely a mangrove forest in Sukakerta Village, East Cilamaya Sub-district, Karawang Regency, West Java Province. The mangrove ecotourism of Tangkolak currently have no management and low visitor. This research aims to describe the potential and identify applicable strategies through internal-external factor analysis within the Tangkolak mangrove ecotourism area. Four station points revealed a potential of 14 mangrove vegetation species and 10 fauna species. The most mangrove species all stations is Rhizophora apiculata, while the dominant fauna is Ciconia sp. The mangrove vegetation in the Tangkolak mangrove ecotourism area exhibits a low diversity index (H') and there’s no dominating species in each stations, whereas the fauna in the area showcases varied diversity index values with Ciconia sp. as the dominant species. Visitors and local fishermen in the surrounding community utilize fishing tools like a fishing rods, traps, and nets when catching fish in the vicinity of the mangrove ecotourism area. The development strategy is determined using SWOT analysis. The results of IFAS and EFAS analyses indicate that the development strategy for the Tangkolak mangrove ecotourism area falls within the coordinates (2.5; 2.6) in quadrant I, signifying a combination of strengths and opportunities (SO strategy).

Causal association of immune cells and polycystic ovarian syndrome: a Mendelian randomization study.

Polycystic ovarian syndrome (PCOS) is a common reproductive disorder that affects a considerable number of women worldwide. It is accompanied by irregular menstruation, hyperandrogenism, metabolic abnormalities, reproductive disorders and other clinical symptoms, which seriously endangers women's physical and mental health. The etiology and pathogenesis of PCOS are not completely clear, but it is hypothesized that immune system may play a key role in it. However, previous studies investigating the connection between immune cells and PCOS have produced conflicting results. Mendelian randomization (MR) is a powerful study design that uses genetic variants as instrumental variables to enable examination of the causal effect of an exposure on an outcome in observational data. In this study, we utilized a comprehensive two-sample MR analysis to examine the causal link between 731 immune cells and PCOS. We employed complementary MR methods, such as the inverse-variance weighted (IVW) method, and conducted sensitivity analyses to evaluate the reliability of the outcomes. Four immunophenotypes were identified to be significantly associated with PCOS risk: Memory B cell AC (IVW: OR [95%]: 1.123[1.040 to 1.213], p = 0.003), CD39+ CD4+ %CD4+ (IVW: OR [95%]: 0.869[0.784 to 0.963], p = 0.008), CD20 on CD20- CD38-(IVW: OR [95%]:1.297[1.088 to 1.546], p = 0.004), and HLA DR on CD14- CD16+ monocyte (IVW: OR [95%]:1.225[1.074 to 1.397], p = 0.003). The results of the sensitivity analyses were consistent with the main findings. Our MR analysis provides strong evidence supporting a causal association between immune cells and the susceptibility of PCOS. This discovery can assist in clinical decision-making regarding disease prognosis and treatment options, and also provides a new direction for drug development.