Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Soy Isoflavones Compared to Estradiol Valerate in Menopausal Women assessed by Menopause Quality of Life Questionnaire

BACKGROUND: There has recently been a global effort to develop preparations that aim for benefits of hormone replacement therapy with minimal discomfort or risk while isoflavones administration found to relieve complaints related to menopause and has been widely carried out. AIM: The aim of the study is to determine the effect of soy isoflavone compared to estradiol valerate administration in postmenopausal women assessed by the Menopause Quality of Life (MENQOL) questionnaire. METHODS: This is an experimental study with pre-post test non-randomized design using data from postmenopausal women who were divided into two groups, namely, group I Estradiol Valerate group which is 16 menopausal women were given Estradiol Valerate and group II Soy Isoflavone Supplements group which is 16 menopausal women were given Soy Isoflavone Supplements. RESULTS: It was found that in estradiol valerate group, total MENQOL value before estradiol valerate administration was 81.56 ± 19.77, and after administration was 74.55 ± 16.82 with p = 0.002, which indicates there is a significant total MENQOL score difference before and after administration estradiol valerate. In the soy isoflavone group, the total MENQOL scores before soy isoflavone administration were 91.0 ± 16.31, and after administration was 83.08 ± 13.85 with p = 0.001, which indicated that there was a significant total MENQOL score difference between before and after administration soy isoflavone. CONCLUSION: In comparison of menopausal complaints based on MENQOL scale in Estradiol Valerate and Soy Isoflavone groups after intervention, it was shown that there were significant differences in total MENQOL value after intervention.
Application of facial fat injections

Autologous fat has become an ideal filler material due to its easy acquisition, good compatibility and no foreign body sensation after transplantation. In recent years, autologous fat has been widely used in facial rejuvenation or repair and reconstruction, and achieved satisfactory results, which is also in line with the currently advocated minimally invasive treatment direction. Autologous fat transplantation mainly includes fat extraction, separation, transplantation and postoperative treatment, each of which can affect the activity of fat particles and/or fat retention rate after transplantation. In this paper, the application of autologous fat in facial rejuvenation or reconstruction is described in detail.
Resilience-Building for Mental Health among Early Childhood Educators: A Systematic Review and Pilot-Study towards an EEG-VR Resilience Building Intervention

Resilience is a key factor that reflects a teacher’s ability to utilize their emotional resources and working skills to provide high-quality teaching to children. Resilience-building interventions aim to promote positive psychological functioning and well-being. However, there is lack of evidence on whether these interventions improve the well-being or mental health of teachers in early childhood education (ECE) settings. This review examined the overall effectiveness of resilience-building interventions conducted on teachers working in the ECE field. A systematic approach is used to identify relevant studies that focus on resilience-building in countering work stress among early childhood educators. Findings from this review observed a preference of group approaches and varying durations of interventions. This review highlights the challenges of the group approach which can lead to lengthy interventions and attrition amongst participants. In addition to the concerns regarding response bias from self-report questionnaires, there is also a lack of physiological measures used to evaluate effects on mental health. The large efforts by 11 studies to integrate multiple centres into their intervention and the centre-based assessment performed by four studies highlight the need for a centre-focused approach to build resilience among teachers from various ECE centres. A pilot study is conducted to evaluate the feasibility of an integrated electroencephalography–virtual reality (EEG-VR) approach in building resilience in teachers, where the frontal brain activity can be monitored during a virtual classroom task. Overall, the findings of this review propose the integration of physiological measures to monitor changes in mental health throughout the resilience-building intervention and the use of VR as a tool to design a unique virtual environment.
Pengaruh Profitabilitas, Struktur Kepemilikan dan Pertumbuhan Perusahaan terhadap Kebijakan Dividen Pada Perusahaan Manufaktur

Dividen policy is a descision making regarding the distribution of profits earned by the company, whether it will be distributed to shareholders or will be retained in the form of retained earnings to finance investments in the future. This study aims to examine the effect of Profitability, Ownership Structure and Company Growth Rate on Dividend Policy in Manufacturing Companies listed on the Indonesia Stock Exchange for the 2018-2020 period. Samples were taken from as many as 43 companies. In this study, Profitability is proxied by using return on equity (ROE), Ownership Structure is proxied by Managerial Ownership (KM) and Company Growth is proxied by total asset growth (Growth). The sampling method used in this research is a purposive sampling method. The analytical method used in this research is descriptive statistical test, classical assumption test and multiple regression analysis test using the SPSS application. The results showed that the independent variables, namely profitability, ownership structure and company growth had a positive and significant effect on the dividend payout ratio. Keywords: Profitability, Ownership Structure, Company Growth, Dividend Policy
Samsum ant venom modulates the immune response and redox status at the acute toxic dose in vivo

Abstract Background: Ant venoms express surface molecules that participate in antigen presentation involving pro- and anti-inflammatory cytokines. This work aims to investigate the expression of MHC-II, CD80 and CD86 on the polymorphonuclear cells (PMNs) in rats injected with samsum ant venom (SAV). Methods: Rats were divided into three groups - control, SAV-treated (intraperitoneal route, 600 μg/kg), and SAV-treated (subcutaneous route, 600 μg/kg). After five doses, animals were euthanized and samples collected for analysis. Results: The subcutaneous SAV-trated rats presented decreased levels of glutathione with increased cholesterol and triglyceride levels. Intraperitoneal SAV-treated animals displayed significantly reduced concentrations of both IFN-γ and IL-17 in comparison with the control group. However, intraperitoneal and subcutaneous SAV-treated rats were able to upregulate the expressions of MHC-II, CD80 and CD86 on PMNs in comparison with the control respectively. The histological examination showed severe lymphocyte depletion in the splenic white pulp of the intraperitoneal SAV-injected rats. Conclusion: Stimulation of PMNs by SAV leads to upregulation of MHC-II, CD 80, and CD 86, which plays critical roles in antigen presentation and consequently proliferation of T-cells. Subcutaneous route was more efficient than intraperitoneal by elevating MHC-II, CD80 and CD86 expression, disturbing oxidative stability and increasing lipogram concentration.
Evaluation of pre-game hydration status, heat stress, and fluid balance during professional soccer competition in the heat

This study evaluated initial hydration status (stadium arrival urine specific gravity), fluid balance (preand post-game nude body weight, fluid intake, urine collection), and core temperature changes (pre-game, half-time, post-game) during a professional soccer game. We monitored 17 male players (goalies included) between stadium arrival and game end (3h), playing at 34.9°C and 35.4% relative humidity, for an average Wet Bulb Globe Temperature (WBGT) heat stress index of 31.9°C. Data are mean ± SD (range). Initial urine specific gravity (USG) was 1.018 ± 0.008 (1.003-1.036); seven players showed USG ≥ 1.020. Over the three hours, body mass (BM) loss was 2.58 ± 0.88kg (1.08-4.17kg), a dehydration of 3.38 ± 1.11%BM (1.68-5.34%BM). Sweat loss was 4448 ± 1216mL (29506224mL), vs. fluid intake of 1948 ± 954mL (655-4288mL). Despite methodological problems with many players, core temperatures greater than or equal to 39.0°C were registered in four players by halftime, and in nine by game’s end. Many of these players incurred significant dehydration during the game, compounded by initial hypohydration; thermoregulation may have been impaired to an extent we were unable to measure accurately. We suggest some new recommendations for soccer players training and competing in the heat to help them avoid substantial dehydration.
Near-field radiative heat transfer in hyperbolic materials

In the post-Moore era, as the energy consumption of micro-nano electronic devices rapidly increases, near-field radiative heat transfer (NFRHT) with super-Planckian phenomena has gradually shown great potential for applications in efficient and ultrafast thermal modulation and energy conversion. Recently, hyperbolic materials, an important class of anisotropic materials with hyperbolic isofrequency contours, have been intensively investigated. As an exotic optical platform, hyperbolic materials bring tremendous new opportunities for NFRHT from theoretical advances to experimental designs. To date, there have been considerable achievements in NFRHT for hyperbolic materials, which range from the establishment of different unprecedented heat transport phenomena to various potential applications. This review concisely introduces the basic physics of NFRHT for hyperbolic materials, lays out the theoretical methods to address NFRHT for hyperbolic materials, and highlights unique behaviors as realized in different hyperbolic materials and the resulting applications. Finally, key challenges and opportunities of the NFRHT for hyperbolic materials in terms of fundamental physics, experimental validations, and potential applications are outlined and discussed.
Antioxidative and antidiabetic effects of germinated rough rice extract in 3T3-L1 adipocytes and C57BLKS/J-db/db mice

Background To overcome disadvantages of germinated brown rice, we germinated rough rice and tested effects of its useful ingredients on prevention of diabetes. Objective This study investigated the in vitro antioxidant and in vivo antidiabetic effects of rough rice (Oryza sativa L.) with hulls, before and after germination. Rough rice was germinated for 4 days and extracted with water at 120°C. Design This study measured antioxidants and antioxidative effects and inhibitory activities against α-amylase and α-glucosidase of rough rice before and after germination and investigated antidiabetic effects of rough rice through animal experiments. Results All these factors increased after germination. Also, α-amylase and α-glucosidase inhibition and glucose uptake by 3T3-L1 adipocytes were significantly increased after germination. Oral administration of the germinated rough rice extract for 8 weeks significantly increased insulin levels and decreased blood glucose levels in a C57BLKS/J-db/db mice model. Immunohistochemical analysis showed that germinated rough rice effectively protected against liver, kidney, and pancreatic tissue damage. Discussion Useful ingredients in germinated rough rice could be used to prevent diabetes. Conclusions These results suggest that germinated rough rice extract had a beneficial effect on diabetes by increasing the antioxidant activity and further purification studies are necessary to elucidate the mechanism of the extract’s antidiabetic activity.
Estimating species misclassification with occupancy dynamics and encounter rates: A semi‐supervised, individual‐level approach

Large‐scale, long‐term biodiversity monitoring is essential to conservation, land management and identifying threats to biodiversity. However, multispecies surveys are prone to various types of observation error, including false‐positive/false‐negative detection and misclassification, where a species is thought to have been encountered but not correctly identified. Previous methods assume an imperfect classifier produces species‐level classifications, but in practice, particularly with human observers, we may end up with extraspecific classifications including ‘unknown’, morphospecies designations and taxonomic identifications coarser than species. Disregarding these types of species misclassification in biodiversity monitoring datasets can bias estimates of ecologically important quantities such as demographic rates, occurrence and species richness. Here we present a joint classification‐occupancy model that accounts for species non‐detection and misclassification. Our framework accommodates extinction and colonization dynamics, allows for additional uncertain ‘morphospecies’ designations and makes use of individual specimens with known species identities in a semi‐supervised setting. We compare the performance of our model to a classification‐only model that discards information about occupancy and encounter rate. We illustrate our model with an empirical case study of the carabid beetle (Carabidae) community at the National Ecological Observatory Network Niwot Ridge Mountain Research Station, near Boulder, CO, USA. We also use simulations to evaluate model performance through validation metrics where varying fractions of the data are confirmed. The model supported imperfect classifier accuracy and favoured certain true species classifications strongly for some morphospecies. The model outperformed (e.g. precision) the reduced model that discarded occupancy information, and these differences were most pronounced for abundant species. Spatial and temporal dynamics from modelled occupancy and encounter rates may inform species misclassification probability, but this idea has not yet been tested. Our statistical framework explores this opportunity, and can be applied to datasets with imperfect species detection and classification, limited verification data and non‐species classifications.
18. EXTREME LOADING AND RESPONSE OF FPSOs IN GREEN SEAS

The results from an experimental study of a model FPSO in moderate to extreme regular waves are presented. Green sea events were recorded using measuring equipment that included wave probes in a grid at the bow and on the front deck, sensors recording the vessel motions, and load and pressure cells on the deck house and on the bow. High-resolution video recordings were also taken. The model, similar to one used in previous tests, was designed with a bluff cylindrically shaped bow to provide further information on the effects of bow geometry. The experiments were designed to support and provide validation for numerical work modelling green sea events. Aspects of the modelling related to the design of the experiments are discussed but details of the theory are not included. The experimental results are presented together with a limited set of preliminary theoretical results, which show good agreement for the ship motions and the flow of green water on deck.
Dosage analysis of the 7q11.23 Williams region identifies BAZ1B as a major human gene patterning the modern human face and underlying self-domestication

Dissecting the BAZ1B genetic circuitry in the neural crest brings out its critical role in shaping the modern human face. We undertook a functional dissection of chromatin remodeler BAZ1B in neural crest (NC) stem cells (NCSCs) from a uniquely informative cohort of typical and atypical patients harboring 7q11.23 copy number variants. Our results reveal a key contribution of BAZ1B to NCSC in vitro induction and migration, coupled with a crucial involvement in NC-specific transcriptional circuits and distal regulation. By intersecting our experimental data with new paleogenetic analyses comparing modern and archaic humans, we found a modern-specific enrichment for regulatory changes both in BAZ1B and its experimentally defined downstream targets, thereby providing the first empirical validation of the human self-domestication hypothesis and positioning BAZ1B as a master regulator of the modern human face. In so doing, we provide experimental evidence that the craniofacial and cognitive/behavioral phenotypes caused by alterations of the Williams-Beuren syndrome critical region can serve as a powerful entry point into the evolution of the modern human face and prosociality.
Quality Evalution of Nigeria Base-masa from Broken Rice Enriched with African Yam Bean and Cricket Flour Blends

This research work highlight the production and nutritional quality of Nigeria base -Masa from broken rice enriched with African yam bean and cricket blends was investigated. Blends of different proportions of broken rice, African yam bean and cricket were prepared at 100 %, 80/0/20 %, 80/20/0 % and 80/10/10 % respectively. The proximate, vitamins and minerals, antinutrients contents and sensory evaluation of the Masa products were determined. The data obtained showed that moisture, protein, fat, ash carbohydrates and energy contents ranged from 38.46-44.48 %, 5.60-15.32 %, 0.71-9.71 %, 0.51-3.17 %, 0.61-0.79 %, 26.71-54.13 % and 245.25-270.77 kcal/100g respectively. The range values for vitamins and minerals are β-carotene (0.34-12.33 µg/100g), vitamin C (0.52-10.61 mg/100g), potassium (24.93-37.87 mg/100g), calcium (142.03-284.11 mg/100g), phosphorus (64.89-127.71 mg/100g), and iron (22.06-50.67 mg/100g). The antinutrients ranged from 0.095-1.860 mg/100g for alkaloids, 0.535-2.600 mg/100g for tannins, 0.040-1.550 mg/100g for phytates and 0.015-0.285 mg/100g for oxalates. The colour, aroma, taste, texture and general acceptability of the sensory attributes results ranged from 6.13-7.73, 6.60-7.07, 6.27-7.33, 5.93-6.73 and 6.67-7.73 respectively, however masa produced from sample 250 (100:0:0 % broken rice:African yam bean: cricket ) and 252 (80:20:0 Broken rice: African yam bean:cricket) substitution were generally accepted more than other Masa samples.
Spinocerebellar Ataxia 12 Patients have better Quality of Life than Spinocerebellar Ataxia 1 and 2

Background: Spinocerebellar ataxia is a neurodegenerative disease. Information on comparative assessment of quality of life (QoL) among SCAs, particularly SCA 12, is scarce. We aimed to compare health-related QoL in SCA 1, 2 and 12. Methods: We conducted a cross-sectional study among individuals with genetically-confirmed SCAs. Ataxia severity was assessed using Brief Ataxia Rating Scale (BARS), independence in activities of daily living (ADL) using Katz index (Katz ADL) and depression using Beck's Depression Inventory-II (BDI-II). QoL was assessed via Short Form Health Survey version 2.0 (SF-36). Results: We enrolled 89 individuals (SCA1 = 17, SCA2 = 43, SCA12 = 29; 56% males). Mean age at onset (41.0 ± 11.6 for SCA12 versus 24.9 + 7.0 for SCA1 and 28.8 ± 9.8 years for SCA2) was significantly higher among SCA12. SCA12 had lower BARS (mean score 4.1 ± 4.5 versus 10.6 ± 4.6 for SCA1 and 12.5 ± 4.5 for SCA2). SCA12 scored better on all SF-36 subdomains including Physical (PCS) and Mental Component Summary (MCS) scores. PCS score amongst SCA12 was 44.4 ± 9.0 versus 30.4 ± 9.1 for SCA1 and 33.3 ± 8.9 for SCA2. MCS score for SCA12 was 51.4 ± 11.4 versus 41.8 ± 11.5 for SCA1 and 41.8 ± 11.2 for SCA2. SCA12 had lower mean BDI scores (5.0 ± 6.0) versus SCA1 (9.5 ± 11.6) and SCA2 (10.9 ± 10.3). BARS and BDI emerged as significant predictors of most SF-36 subdomains. Conclusions: Our study suggests that despite older age and comparable disease duration, SCA12 patients experience better QoL, less severe depression and ataxia versus SCA1 and SCA2. Severity of ataxia and depression are significant predictors of QoL among the three SCA types.
Damage localization for bridges monitored within one cluster based on a spatiotemporal correlation model of strain monitoring data

The bridges monitored within one cluster refer to several medium- and small-span beam bridges with similar structural characteristics located in a continuous elevated corridor. The variation in the strain monitoring data of these bridges comprehensively reflects diverse coupling effects. These complex coupling factors present great challenges for the damage diagnosis of bridges. To address this issue, a damage localization method for bridges monitored within one cluster is proposed based on a spatiotemporal correlation model of strain monitoring data between bridges. First, a deep learning architecture combining a convolutional neural network (CNN) with a long short-term memory (LSTM) network is established, which can reveal the complex time-varying mapping relationship between the strain monitoring data for similar bridges within one cluster to obtain an accurate spatiotemporal correlation model. Second, a strain prediction framework is presented that uses the proposed spatiotemporal correlation model after training. On this basis, the predicted and measured strains can be utilized to calculate a damage localization index that is not affected by complex coupling factors. Then, combined with abnormal diagnosis theory, the proposed index is implemented to accurately localize damage in all bridges within one cluster. Finally, the application of the proposed method to three actual bridges monitored within one cluster demonstrates the accuracy of the spatiotemporal correlation model and the effectiveness of structural damage localization.
Analyzing the factors that will impact the supply chain of the COVID-19 vaccine: A structural equation modeling approach

Abstract The vaccine helps in providing immunity against any disease to individuals. The pandemic has created mass destruction by taking many human lives. Lack of proper medicines and unavailability of the vaccine made the pandemic more dangerous. Many countries have launched the vaccine, but questions arise in its distribution and supply chain. Developing countries with a large population and lack of healthcare infrastructure made things more and more difficult. The objective of this research is to identify the factors that will impact the vaccine supply chain and the vaccine distribution for the COVID-19 vaccine. These five factors have been identified from the literature review. We have developed a structured questionnaire. The survey is carried out in the hospitals of India. The target populations are doctors, procurement officers, and store officers working in government hospitals.
Impact of Lipid Metabolism on Antitumor Immune Response

Simple Summary One of the causes of failure of anticancer therapies is the reprogramming of lipid metabolism. Cells of innate and adaptive immunity present in the tumor microenvironment can be affected by this metabolic switch and thus present changes in their anti- or protumor phenotype. In this review, modifications induced by lipid metabolism will be described for innate immune cells, such as macrophages, dendritic cells and MDSCs, and also for adaptive immune cells, such as CD4+ and CD8+ T cells and B cells. Finally, antitumor therapeutic strategies targeting lipid metabolism will be presented. Abstract Over the past decade, metabolic reprogramming has been defined as a hallmark of cancer. More recently, a large number of studies have demonstrated that metabolic reprogramming can modulate the differentiation and functions of immune cells, and thus modify the antitumor response. Increasing evidence suggests that modified energy metabolism could be responsible for the failure of antitumor immunity. Indeed, tumor-infiltrating immune cells play a key role in cancer, and metabolic switching in these cells has been shown to help determine their phenotype: tumor suppressive or immune suppressive. Recent studies in the field of immunometabolism focus on metabolic reprogramming in the tumor microenvironment (TME) by targeting innate and adaptive immune cells and their associated anti- or protumor phenotypes. In this review, we discuss the lipid metabolism of immune cells in the TME as well as the effects of lipids; finally, we expose the link between therapies and lipid metabolism.