Miracle-dz/UniFAR-FTUs huggingface dataset:
Icaritin ameliorates RANKL-mediated osteoclastogenesis and ovariectomy-induced osteoporosis

A rapidly aging society and longer life expectancy are causing osteoporosis to become a global epidemic. Over the last five decades, a number of drugs aimed at reducing bone resorption or restoring bone mass have been developed, but their efficacy and safety are limited. Icaritin (ICT) is a natural compound extracted from anti-osteoporosis herb Epimedium spp. and has been shown to inhibit osteoclast differentiation. However, the molecular mechanism by which ICT weaken RANKL-induced osteoclast differentiation has not been completely investigated. Here, we evaluated the anti-osteoclastogenic effect of ICT in vitro and the potential drug candidate for treating osteoporosis in vivo. In vitro study, ICT was found to inhibit osteoclast formation and bone resorption function via downregulating transcription factors activated T cell cytoplasm 1 (NFATc1) and c-fos, which further downregulate osteoclastogenesis-specific gene. In addition, the enhanced mitochondrial mass and function required for osteoclast differentiation was mitigated by ICT. The histomorphological results from an in vivo study showed that ICT attenuated the bone loss associated with ovariectomy (OVX). Based on these results, we propose ICT as a promising new drug strategy for osteoporosis that inhibits osteoclast differentiation.
Considerations in the Adoption of Solar Home System Technology in Indonesia

The high potential for solar energy in Indonesia has prompted the Ministry of Energy and Mineral Resources of the Republic of Indonesia to aim for solar energy utilization. Unfortunately, since it was planned in 2010, the target has not been achieved due to the low interest of society to purchase and use solar home systems. Using the Technology-Personal-Environment (TPE) framework, this study aims to identify the factors that are being considered in the adoption of solar home system technology and understand the interest of the Indonesian people in repurchasing it. The data for the study were obtained through in-depth interviews with eight participants. The study found that most participants do not consider perceived simplicity, but they consider perceived compatibility, regulations, technology support providers, performance expectations, and personal innovation. It was found that trust is also considered by participants. Additionally, they consider Regulations, Need/Urgency, Price, Technology Specifications, and Maintenance in repurchasing solar home systems. A new model proposed which exchange the perceived simplicity from technology context by trust in personal context. It is recommended that renewable energy companies disseminate information about solar home systems through targeted websites, social media, and advertisements. Moreover, it is recommended that the government enact regulations that can support the use of solar home systems, such as providing incentives, subsidizing its materials, and building domestic factories that can produce the materials. Finally, it is recommended that further studies use other research methods, test new variables, and us the proposed models.
The Effect of Family Planning Education on Knowledge, Attitude and Practice Toward Family Planning Methods Among Married Couples in Kersa and Goma Districts of Jimma Zone, South West Ethiopia

Background Individuals with accurate knowledge that goes beyond knowing a few contraceptive methods, such as knowledge of fertility, benefits, and contraceptive side effects, are more likely to use and less likely to discontinue using family planning. Purpose The aim of the study was to determine the effect of family planning education on knowledge, attitude, and practice towards family planning among married couples in Jimma Zone, Ethiopia. Methods A quasi-experimental study was done on 766 married couples sampled using a random sampling technique and analyzed using SPSS 23.0. The significance of differences in mean knowledge and attitude between control and experimental couples was measured using the non-parametric 2-independent sample analysis (P < 0.05). Results The comparison of knowledge score means and significance of their differences between control and experimental women was found to be significant at the posttest (P = 0.001; r = 0.045). Similarly, the experimental men's knowledge score means and their difference was significant at posttest (P = 0.001, r = 0.26). With respect to a comparison of mean score of attitude and the significance of their difference between control and experimental women at posttest was significant with (P < 0.001; r = 0.13). Similarly, the comparison of the male partners in the control and experimental groups was significant at posttest (P = 0.001; r = 0.12). At the posttest, the proportion of experimental couples using each contraceptive method relatively increased, with a shift to relatively effective ones. Two hundred and ninety five (77.6%) of the control and 318 (83.5%) of the experimental men reported supporting their wives in the use of contraceptives, showing more improvement among the experimental men than the control group. Conclusion Along with routine counseling, a well-structured behavioral model-based family planning education is required for effective and continuous use of contraceptives.
Vertical transport mechanisms of black carbon over East Asia in spring during the A‐FORCE aircraft campaign

Mechanisms of vertical transport of black carbon (BC) aerosols and their three‐dimensional transport pathways over East Asia in spring were examined through numerical simulations for the Aerosol Radiative Forcing in East Asia (A‐FORCE) aircraft campaign in March–April 2009 using a modified version of the Community Multiscale Air Quality (CMAQ) modeling system. The simulations reproduced the spatial distributions of mass concentration of BC and its transport efficiency observed by the A‐FORCE campaign reasonably well, including its vertical and latitudinal gradients and dependency on precipitation amount that air parcels experienced during the transport. During the A‐FORCE period, two types of pronounced upward BC mass fluxes from the planetary boundary layer (PBL) to the free troposphere were found over northeastern and inland‐southern China. Over northeastern China, cyclones with modest precipitation were the primary uplifting mechanism of BC. Over inland‐southern China, both cumulus convection and orographic uplifting along the slopes of the Tibetan Plateau played important roles in the upward transport of BC, despite its efficient wet deposition due to a large amount of precipitation supported by an abundant moisture supply by the low‐level southerlies. In addition to the midlatitude (35–45°N) eastward outflow within the PBL (21% BC removal by precipitation during transport), the uplifting of BC over northeastern and inland‐southern China and the subsequent BC transport by the midlatitude lower tropospheric (50% BC removal) and subtropical (25–35°N) midtropospheric westerlies (67% BC removal), respectively, provided the major transport pathways for BC export from continental East Asia to the Pacific.
39Ar‐40Ar ages of eucrites and thermal history of asteroid 4 Vesta

Abstract— Eucrite meteorites are igneous rocks that derived from a large asteroid, probably 4 Vesta. Past studies have shown that after most eucrites formed, they underwent metamorphism in temperatures up to ≥800°C. Much later, many were brecciated and heated by large impacts into the parent body surface. The less common basaltic, unbrecciated eucrites also formed near the surface but, presumably, escaped later brecciation, while the cumulate eucrites formed at depths where metamorphism may have persisted for a considerable period.
Diagnostic Value of Labial Minor Salivary Gland Biopsy: Histological Findings of a Large Sicca Cohort and Clinical Associations

(1) Background: The aim of this study was to analyze labial minor salivary gland biopsy (MSGB) findings of a large sicca cohort and to examine their associations with Sjogren’s syndrome (SS)-associated laboratory markers, phenotypic characteristics and systemic manifestations. Moreover, we sought to explore the ability of MSGB to identify SS patients among subjects with pre-diagnosed fibromyalgia (FM). (2) Methods: Included were all patients of three rheumatology departments having undergone a diagnostic MSGB within 9 years. Next to the examination of histological and immunohistochemical findings, we focused on activity and chronicity parameters of the underlying disease, autoantibodies, presence of systemic and hematologic involvement, as well as chronic pain and SS comorbidities. (3) Results: Among the 678 included patients, 306 (45.1%) had a positive focus score (FS). The remaining patients (n = 372) served as control subjects. There were significant correlations between FS and hypergammaglobulinemia (p < 0.001), ANA and rheumatoid factor positivity (both; p < 0.001), a weak significant correlation with erythrocyte sedimentation rate (rho = 0.235; p < 0.001) and a negative correlation with nicotine use (p = 0.002). Within the primary SS subgroup, FS was associated significantly with glandular enlargement (p = 0.007) and systemic hematologic manifestations (p = 0.002). Next to FS, CD20 cell staining showed an excellent diagnostic performance in the diagnosis of SS by an area under the curve of 0.822 (95%CI 0.780–0.864; p < 0.001). Interestingly, 42.1% of all patients with fibromyalgia (FM) having received an MSGB could be diagnosed with SS. (4) Conclusion: By examining one of the largest cohorts in the literature, we could show that MSGB histological and immunohistochemical findings not only play a key role in the classification and diagnosis of SS but could also provide important information regarding SS phenotype and systemic manifestations. Furthermore, MSGB may help differentiate patients with FM from patients with subclinical SS who suffer primarily from chronic pain.
Arthrospira platensis Nanoparticles Mitigate Aging-Related Oxidative Injured Brain Induced by D-galactose in Rats Through Antioxidants, Anti-Inflammatory, and MAPK Pathways

Background Loss of normal function is an inevitable effect of aging. Several factors contribute to the aging process, including cellular senescence and oxidative stress. Methods We investigate how Arthrospira platensis Nanoparticles (NSP) protect against aging injury induced by d-galactose (D-gal) in the rat. So, we subcutaneously (S/C) injected D-gal at 200 mg/kg BW to see if Arthrospira platensis Nanoparticles (NSP) might protect against the oxidative changes generated by D-gal. NSP (0.5 mg/kg body weight once daily by gastric gavage) was given to all groups apart from the control and D-gal groups. The d-gal + NSP group was supplemented with 200 mg of D-gal per kg BW once a day and NSP 0.5 mg/kg BW given orally for 45 days. Biochemical, mRNA expression, and histological investigations of brain tissues were used to evaluate the oxidative alterations caused by d-gal and the protective role of NSP. Results Our data demonstrated that d-gal was causing significant reductions in relative brain and body weight with increased malondialdehyde (MDA) and redox oxygen species (ROS) levels and increases in serum creatine phosphokinase (CPK) and creatine phosphokinase isoenzyme BB (CPK-BB) with marked decreases in the level of antioxidant enzyme activity in the brain and acetylcholinesterase activity augmented with a phosphorylated H2A histone family member X (γ-H2AX) level increased. The D-gal group had considerably higher phosphorylated p38 mitogen-activated protein kinases (P38MAPK) and C-Jun N-terminal (JNK) kinases. The d-gal administration stimulates the apoptotic gene expression by downregulating the brain superoxide dismutase (SOD), catalase (CAT), and nuclear factor erythroid 2–related factor 2 (Nrf2). The NSP administration saved these parameters in the direction of the control. The brain histopathologic and immunohistochemistry analysis findings support our findings on NSP’s protective role. Conclusion The NSP may be a promising natural protective compound that can prevent aging and preserve health.
Antioxidant Peptides from the Collagen of Antler Ossified Tissue and Their Protective Effects against H2O2-Induced Oxidative Damage toward HaCaT Cells

Antler ossified tissue has been widely used for the extraction of bioactive peptides. In this study, collagen was prepared from antler ossified tissue via acetic acid and pepsin. Five different proteases were used to hydrolyze the collagen and the hydrolysate treated by neutrase (collagen peptide named ACP) showed the highest DPPH radical clearance rate. The extraction process of ACP was optimized by response surface methodology, and the optimal conditions were as follows: a temperature of 52 °C, a pH of 6.1, and an enzyme concentration of 3200 U/g, which resulted in the maximum DPPH clearance rate of 74.41 ± 0.48%. The peptides (ACP-3) with the strongest antioxidant activity were obtained after isolation and purification, and its DPPH free radical clearance rate was 90.58 ± 1.27%; at the same time, it exhibited good scavenging activity for ABTS, hydroxyl radical, and superoxide anion radical. The study investigated the protective effect of ACP-3 on oxidative damage in HaCaT cells. The findings revealed that all groups that received ACP-3 pretreatment exhibited increased activities of SOD, GSH-Px, and CAT compared to the model group. Furthermore, ACP-3 pretreatment reduced the levels of ROS and MDA in HaCaT cells subjected to H2O2-induced oxidative damage. These results suggest that collagen peptides derived from deer antler ossified tissue can effectively mitigate the oxidative damage caused by H2O2 in HaCaT cells, thereby providing a foundation for the utilization of collagen peptides in pharmaceuticals and cosmetics.
Multi Data Reservoir History Matching using the Ensemble Kalman Filter

Multi Data Reservoir History Matching Klemens Katterbauer Reservoir history matching is becoming increasingly important with the growing demand for higher quality formation characterization and forecasting and the increased complexity and expenses for modern hydrocarbon exploration projects. History matching has long been dominated by adjusting reservoir parameters based solely on well data whose spatial sparse sampling has been a challenge for characterizing the flow properties in areas away from the wells. Geophysical data are widely collected nowadays for reservoir monitoring purposes, but has not yet been fully integrated into history matching and forecasting fluid flow. In this thesis, I present a pioneering approach towards incorporating different time-lapse geophysical data together for enhancing reservoir history matching and uncertainty quantification. The thesis provides several approaches to efficiently integrate multiple geophysical data, analyze the sensitivity of the history matches to observation noise, and examine the framework’s performance in several settings, such as the Norne field in Norway. The results demonstrate the significant improvements in reservoir forecasting and characterization and the synergy effects encountered between the different geophysical data. In particular, the joint use of electromagnetic and seismic data improves the accuracy of forecasting fluid properties, and the usage of electromagnetic data has led to considerably better estimates of hydrocarbon fluid components. For volatile oil and gas reservoirs the joint integration of gravimetric and InSAR data has shown to be beneficial in detecting the influx of water and thereby improving the recovery rate. Summarizing, this thesis makes an important contribution towards integrated reservoir management and multiphysics integration for reservoir history matching.
Team selling: a review, implications, and an agenda for sales team research

Abstract Today’s business organizations are faced with increased competition and growing customer expectations which require varying approaches to market opportunities. These opportunities necessitate that organizational decision makers determine how to allocate resources based on the potential of the opportunity. Human capital is arguably the most important resource within an organization and many firms have moved from a single salesperson model to a team selling modality. While the adoption of a sales team approach has been growing in practice for decades, academic research has not kept pace with the changes in the field. The intent of this team selling literature review is to: 1) define team selling, 2) review recent and relevant literature that focuses on team selling both within and outside of the marketing discipline, 3) identify themes evident in the current team selling research, and 4) outline promising areas for future investigations that stem from each research theme.
Increased levels of urine volatile organic compounds are associated with diabetes risk and impaired glucose homeostasis.

CONTEXT Volatile organic compounds (VOCs) are pervasive environmental pollutants that have been linked to various adverse health effects. However, the impact of ambient VOCs, whether individually or in mixtures, on diabetes remains uncertain and requires further investigation. OBJECTIVE This study investigates the effects of ambient VOCs exposure, whether single or mixed, on diabetes mellitus and glucose homeostasis in the general population. METHODS Urinary concentrations of VOCs metabolites were obtained from National Health and Nutrition Examination Survey. Survey-weighted logistic regression and generalized linear regression were used to explore the associations between individual VOC exposure and diabetes risk and glucose homeostasis indicators, respectively. Weighted quantile sum (WQS) regression models were applied to assess the combined effects of VOCs mixtures. RESULTS Out of 8468 participants, 1504 had diabetes mellitus. Eight VOCs metabolites showed positive associations with diabetes mellitus (OR ranged from 1.15 to 1.43, all P<0.05), insulin resistance (OR ranged from 1.02 to 1.06, P＜0.05), and other glucose homeostasis indicators (β ranged from 0.04 to 2.32, all P<0.05). Mixed-VOCs models revealed positive correlations between the WQS indices and diabetes risk (OR=1.52, 95% CI: 1.29-1.81), insulin resistance (OR=1.36, 95% CI=1.14-1.62), and other glucose homeostasis indicators (β ranged from 0.17 to 2.22, all P<0.05). CONCLUSION Urinary metabolites of ambient VOCs are significantly associated with an increased diabetes risk and impaired glucose homeostasis. Thus, primary prevention policies aimed at reducing ambient VOCs could attenuate diabetes burden.
Accuracy of ChatGPT on Medical Questions in the National Medical Licensing Examination in Japan: Evaluation Study

Background ChatGPT (OpenAI) has gained considerable attention because of its natural and intuitive responses. ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers, as stated by OpenAI as a limitation. However, considering that ChatGPT is an interactive AI that has been trained to reduce the output of unethical sentences, the reliability of the training data is high and the usefulness of the output content is promising. Fortunately, in March 2023, a new version of ChatGPT, GPT-4, was released, which, according to internal evaluations, was expected to increase the likelihood of producing factual responses by 40% compared with its predecessor, GPT-3.5. The usefulness of this version of ChatGPT in English is widely appreciated. It is also increasingly being evaluated as a system for obtaining medical information in languages other than English. Although it does not reach a passing score on the national medical examination in Chinese, its accuracy is expected to gradually improve. Evaluation of ChatGPT with Japanese input is limited, although there have been reports on the accuracy of ChatGPT’s answers to clinical questions regarding the Japanese Society of Hypertension guidelines and on the performance of the National Nursing Examination. Objective The objective of this study is to evaluate whether ChatGPT can provide accurate diagnoses and medical knowledge for Japanese input. Methods Questions from the National Medical Licensing Examination (NMLE) in Japan, administered by the Japanese Ministry of Health, Labour and Welfare in 2022, were used. All 400 questions were included. Exclusion criteria were figures and tables that ChatGPT could not recognize; only text questions were extracted. We instructed GPT-3.5 and GPT-4 to input the Japanese questions as they were and to output the correct answers for each question. The output of ChatGPT was verified by 2 general practice physicians. In case of discrepancies, they were checked by another physician to make a final decision. The overall performance was evaluated by calculating the percentage of correct answers output by GPT-3.5 and GPT-4. Results Of the 400 questions, 292 were analyzed. Questions containing charts, which are not supported by ChatGPT, were excluded. The correct response rate for GPT-4 was 81.5% (237/292), which was significantly higher than the rate for GPT-3.5, 42.8% (125/292). Moreover, GPT-4 surpassed the passing standard (>72%) for the NMLE, indicating its potential as a diagnostic and therapeutic decision aid for physicians. Conclusions GPT-4 reached the passing standard for the NMLE in Japan, entered in Japanese, although it is limited to written questions. As the accelerated progress in the past few months has shown, the performance of the AI will improve as the large language model continues to learn more, and it may well become a decision support system for medical professionals by providing more accurate information.
SegMind: Semisupervised Remote Sensing Image Semantic Segmentation With Masked Image Modeling and Contrastive Learning Method

Remote sensing (RS) image semantic segmentation has attracted much attention due to its wide applications. However, deep learning-based RS image semantic segmentation methods usually require substantial manual pixelwise annotations, which are expensive and hard to obtain in practice. Although the existing semisupervised RS semantic segmentation methods effectively reduce dependence on labeled data, they generally focus on information consistency between labeled and unlabeled images, but ignore the potential context information between different areas of the RS image. In fact, the objects contained in an RS image usually have some long-range dependence between each other, since trees are usually on both sides of a road, and the middle of two rows of houses is commonly a road. Therefore, we believe that the potential dependencies between different areas of the RS image should be beneficial to reduce the label dependence of RS semantic segmentation. Based on this point, we propose a novel semisupervised RS image semantic segmentation network named SegMind, which is based on mean-teacher (MT) architecture and adopts masked image modeling (MIM) to enhance information interactions of different areas. Moreover, contrastive learning (CL) and entropy loss are introduced to SegMind framework to further improve the linear separability and prediction confidence of the proposed model. Experiments on three datasets have demonstrated the superiority of the proposed method over the state-of-the-art methods. The code is available at https://github.com/lzh-ggs-ddu/SegMind.