bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of sarcopenia and its prognostic value in symptomatic knee osteoarthritis among older people in China: the first longitudinal evidence from CHARLS
Authors: Gao Jiaxiang , Mulatibieke Yesihati , Cheng Huang , Li Tong , Ding Ran , Wang Weiguo 
Published: December 2023

Abstract

Background
The association between sarcopenia and knee osteoarthritis (KOA) among older people remains controversial. This study aimed to investigate the longitudinal association among the older Chinese population.
Methods
Data were attracted from 2 waves of the China Health and Retirement Longitudinal Study (CHARLS), and 6212 individuals aged ≥ 60 years were included. Sarcopenia status was defined by the Asian Working Group for Sarcopenia 2019 criteria. Multivariate logistic regression models were applied to estimate the impact of sarcopenia on KOA. A prognostic nomogram was developed through train-test cross-validation.
Results
At baseline in CHARLS 2015, the prevalence of symptomatic KOA in total populations, no-sarcopenia, possible sarcopenia and sarcopenia respondents were 12.7% (792/6212), 9% (270/2996), 17.5% (286/1638), and 15.0% (236/1578), respectively. Over a 3-year follow-up, a total of 4980 respondents were included. Compared to no-sarcopenia controls, Sarcopenia was associated with a significantly increased risk of new-onset KOA in the fully adjusted model (Odds ratio: 1.91, 95% confidence interval: 1.15–3.18), with incidence rates of 3.6% and 2.2% respectively. However, this association was non-significant for possible sarcopenia. Factors including sarcopenia status, age, gender, body mass index, self-reported health status, comorbidities, history of fall, and physical activities were used to construct the final prognostic model and nomogram, which indicated a considerable discrimination with area under receiver operating characteristic curve = 0.744 and C-index = 0.66. The calibration curve demonstrated significant agreement between predicted and actual observations. Decision curve analysis showed net benefits when clinical intervention was decided at a probability threshold from 1–17%.
Conclusions
Sarcopenia was associated with a higher incident risk of KOA, wherein muscle mass may play an important role. The inferior prognosis of sarcopenia in KOA needs more attention in clinical practice.
Depression and generalized anxiety and its associations with health behaviors among adult women in Nepal: Results of a national cross-sectional survey in 2022
Authors: Noormal Ahmad Siyar , Peltzer Karl 
Published: December 2023

Abstract
Background: The primary objective of this study is to investigate the prevalence of Major Depressive Disorders (MDD) and Generalized Anxiety Disorders (GAD) among Nepalese women, and explore the associations with sociodemographic factors and health behaviors. We used the nationally representative data from the Nepal DHS which is a cross-sectional study conducted in 2022. A total of 7442 eligible women were included in this analysis. Different sociodemographic factors and health behaviors were systematically assessed to explore the associations with mental health conditions. The overall prevalence of MDD and/or GAD was 5.3%, while 3.8% experienced the concurrence of both. Marital status, economic disparities, self-rated health, and region showed positive association with common mental disorders, while women empowerment emerged as a protective factor. Moreover, having MDD and/or GAD was found to be significant associated with smoking, having multiple sex partners, genital sores and discharges, and previous pregnancy termination. The results underscore the need for tailored interventions to address the multifaceted determinants of mental health among Nepalese women. The findings serve as empirical evidence for the policy makers, to inform the development of effective interventions in the mental health domain.
Transparent, flame retardant and machinable cellulose/silica composite aerogels with nanoporous dual network for energy-efficient buildings
Authors: Sun Jing , Hu Jing , Zhong Ya , Zhang Junjun , Pan Shuxuan , Xiang Zichen , Cui Sheng , Shen Xiaodong 
Published: December 2023

Abstract

The envelope structure with high light transmittance accounts for an increasing proportion of building energy consumption, which is one of the shortcomings of energy conservation and emission reduction. Cellulose-based aerogel has become a research hotspot because of its low thermal conductivity and good mechanical properties. However, most cellulose-based aerogels are opaque and flammable limiting their applications. Herein, cellulose/silica composite aerogels (CAS) with "organic-inorganic" structures were fabricated by two-step sol-gel method, spin-coating technique and supercritical CO2 drying, using the ionic liquid 1-allyl 3-methylimidazolium chloride salt to dissolve the Cotton pulp, followed by the addition of tetraethylorthosilicate (TEOS) and methyltriethoxysilane (MTES) co-precursors into the cellulose gels. The synthesis mechanism, microstructure, mechanical and thermal properties of as-prepared aerogels samples were investigated. The obtained CAS have low density (0.093–0.170 g/cm3), high specific surface area (660.87-1089.70 m2/g), and high mechanical property (compressive strength of 18.74 MPa, tensile strength as high as 1.54 MPa, and bending tests above 500 times). In particular, the CAS4 shows the lowest thermal conductivity (0.0188 W·m− 1·K− 1), good thermal stability (> 331°C), high transparency (91.7%) and excellent flame retardancy. In addition, the self-designed aerogels glasses model was placed in a real outdoor environment for 5 hours. The results showed that the temperature difference between the inside and outside of the aerogels glasses model was as high as 12 ℃ under the thermal equilibrium state. Thus, the as-prepared high-performance cellulose/silica composite aerogels may increase the role of aerogels glasses in the building envelope and have promising applications in transparent energy-efficient construction and thermal insulation.
Heavy metals in Landfill Leachate and e-Waste Dumping Sites and its adverse effect.
Authors: CHAKRABORTY SHAMPA , Awasthi Anuradha 
Published: December 2023

Abstract
Heavy metals are very toxic for human beings but our household electronic, medical and even in some food items contains heavy metals. After the life time of those the materials undergoes to the waste and so-called leachate formed and pollute the soil and downstream water adjacent to it. Among the heavy metals Fe3+, Fe2+, Cu2+, Ni2+, Cd2+, Hg2+, Pb2+, As3+, Mn2+, Be2+, Pb2+, etc., are the main pollutants in landfill leachate and e-waste dumping site. In this review, we have focused about the different sources for different heavy metals along with the possible detection harmful effects1–5 for the heavy metals.
Validation of the Intuitive Eating Scale (IES-2) in Pregnancy and Association with Psychological Characteristic and Diet Quality in a Population of Pregnant Women
Authors: Jin Xingyi , Zhu Jian , Pan Da , Sun Lingzhen , wang shaokang , Sun Guiju , Wang Niannian 
Published: December 2023

Abstract
Pregnancy is a special period that is strongly influenced by dietary interventions, and many pregnant women develop gestational diabetes caused by conditions such as poor diet. Dietary interventions for women during this period are therefore very important, but unfortunately there is a lack of established studies on intuitive eating in pregnant women. This study is the first study to assess intuitive eating during pregnancy in pregnant women using the Intuitive Eating Scale-2. A total of 581 pregnant women completed the study which included the Intuitive Eating Scale (IES-2), the Depressive Symptom Scale (EPDS), the Anxiety Symptom Scale (SAS), the Parenthood Stress Scale (PPS), and The Dietary Guidelines Adherence Index for Pregnant Women during Pregnancy (CDGCI-PW). The results show that the modified scales have good quality in the Chinese pregnant women population (CMIN/DF = 1.756, CFI = 0.925, TLI = 0.909, RMSEA = 0.037) and that the scale scores are correlated with depression and anxiety of pregnant women and correlated with overall diet quality during pregnancy. The final six factors (avoiding forbidden foods, avoiding emotional eating, body-food choice congruence, avoiding food-related coping strategies, permission to eat and reliance on hunger and satiety cues) structure of the revised IES-2 was confirmed. This scale can further assess eating behaviors in different pregnancy states within the Chinese pregnant women population.
Observation Method for Autonomous Maneuver of Spacecraft under Emergency Conditions
Authors: Cong Yiqin , Liu Tianxi , Wei Cheng , Guan Gongshun 
Published: December 2023

Abstract

To deal with space threats with strong maneuverability such as kinetic energy interceptors, remote-sensing satellites need to perform autonomous avoidance while carrying out observation tasks. The traditional method is no longer suitable for such sudden and time-sensitive problems. A Reinforcement-learning method for remote-sensing satellite autonomous decision-making maneuver and completion of remote-sensing tasks is proposed.Assuming that remote sensing satellites only use velocity pulses for evasive maneuvering observations.By establishing the MDP model of orbital maneuver, the problem is abstracted as the order decision problem of impulse strategy in the process of maneuver observation. According to the discrete characteristics of impulse action, the classical Reinforcement-learning algorithm DDQN is used to solve it, so as to obtain the optimal multi impulse maneuver strategy under interception threat.Based on the DDQN algorithm, the parameter update mechanism of the target neu-ral network has been improved.The experimental results show that the DDQN algorithm, which improves the parameter update mechanism of the target neural network, has a faster rate of convergence than the traditional DDQN algorithm in the training process;The remote sensing satellite adopts the Deep reinforcement learning algorithm for independent decision-making. Under the constraint of satisfying the observation conditions, the algorithm has lower fuel consumption than the current on orbit escape mode;When the interceptor has the same parameters but different maneuvering trajectories, the success rate of avoiding 1 multiple trajectories within the arc segment it can hit is 97.69%, of which 68.46% meets the observation time requirements and 69.23% meets the coverage requirements for the target area, effectively improving the ability to avoid autonomous decision-making under emergency conditions.
Improving the accuracy of a low-cost inertial navigation system by adaptive Zero Velocity Updating using machine learning
Authors: Ri Jong Chon , Choe Namchol 
Published: December 2023

Abstract

In general, the Zero-Velocity updating method (ZUPT) using artificial neural networks has been widely used in pedestrian tracking detection systems using inertial sensors. On the other hand, in low-cost sensors such as MPU9250, the measurement bias is particularly large, so the motion state must be classified very much according to different speeds and amplitudes. We also need to have a pre-experience threshold that fits many of these states. Hence, we have proposed a rational new algorithm that, based on the work of the precursors, can provide high accuracy even in low-cost inertial sensors such as MPU9250. Here, we have developed a zero-velocity detector that uses a support vector machine to determine only the stationary state without classifying different motion states. The results of the experiment show that even in low-cost inertia sensors, a very accurate result is obtained with different speeds.
Retrospective review of the antiemetic activity and anti-mental disorder of olanzapine in Soft- tissue sarcoma and Osteosarcoma patients with high-dose chemotherapy
Authors: Yin Jun-Yi , Lv Xiao-Bin , Zhou Yan , Hu Hai-Yan , Wang Qiong 
Published: December 2023

Abstract
Purpose: The aim of the study was to evaluate the role of olanzapine, which is an atypical antipsychotic drug, in antiemetic activity and anti-depression in soft-tissue sarcoma and osteosarcoma patients receiving high-dose chemotherapy.
Methods: The retrospective observational study was performed at Shanghai Jiao Tong University Affiliated Sixth People's Hospital between 2017.1–2020.5 to observe the efficacy and safety of olanzapine combined with aprepitant,5-HT3 receptor antagonists and dexamethasone. We retrospectively reviewed the clinical records of soft-tissue sarcoma and osteosarcoma patients received highly emetogenic chemotherapy regimen, which containing cisplatin (75-100 mg/m2), doxorubicin regimen(60-75mg/ m2) or high-dose ifosfamide(8-12g/ m2). All included patients were more than 18 years old, with no history of drinking.140 patients were included in this study. These patients were assigned into two groups for olanzapine-containing therapy and non-olanzapine dual therapy. All patients received aprepitant,5-HT3 receptor antagonists and dexamethasone and in olanzapine group olanzapine was administered orally at 5mg/d from day1 to day 5. The study outcomes were complete response (CR), mental state evaluated by SAS and SDS, and quality of life (QoL) by the functional living index-emesis (FLIE) questionnaire.
Results: The complete response (CR) rate in the olanzapine group was significantly higher than in the control group in delayed and overall phase (74.3% vs 47.1%, p=0.002; 67.1% vs 44.3%,p=0.010). No significant difference CR in acute phase was observed between the two groups. Meanwhile, the mental disorder including anxiety and depression in olanzapine group was ameliorated significantly (P<0.05). The patients in olanzapine group exhibited higher FLIE scores, which demonstrated better quality of life. More patients in the olanzapine group exhibited somnolence, constipation and fatigue.
Conclusions: Olanzapine is safe and effective in preventing high-dose chemotherapy-induced nausea and vomiting and decreasing anxiety and depression in soft-tissue sarcoma and osteosarcoma patients. Meanwhile, patients in olanzapine group exhibit better QoL compared to non-olanzapine group. Further randomized studies are required to confirm these results.
Grass Reference Lysimetric Evapotranspiration Measurements Compared to Satellite Data Observations
Authors: Gomes Daniel Gonçalves , Campos Firmo Sousa , Pai Alexandre Dal 
Published: December 2023

Abstract

We present one of the first research work for the study site (Botucatu-SP, Brazil) that compares in-situ grass reference evapotranspiration measurements obtained by weighing lysimetry technique with estimated data from this same parameter by the use of satellites. Data from two datasets available at the Google Earth Engine platform were used to compare monthly average values of reference evapotranspiration (ET0): 1. FLDAS (Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System); 2. MOD16A2.006 (Terra Net Evapotranspiration 8-Day Global 500m). Statistical analyses were carried out to analyze statistical variability between the compared data. At a 5% significance level, the test for homogeneity of variances (Bartlett’s test) indicated that the variances cannot be considered homogeneous (p-value of 4.3%); the Normality test (Shapiro-Wilk’s test) indicated that the observed data follow a normal distribution (p-value of 62.4%); the analysis of variance (ANOVA; Welch Test) with the F-Snedecor’s test indicated at a 5% significance level that the observed mean values do not differ from each other (p-value of 34.5%; Fcalc < F). Annual ET0 average values and their respective standard deviations are presented here: 2.3 ± 1.1 mm.day-1 (Lysimeter); 2.7 ± 0.8 mm.day-1 (MOD16A2.006); 3.2 ± 1.7 mm.day-1 (FLDAS); the coefficient of variation obtained was of 45.7%. Estimated data from MOD16A2.006 dataset overestimates lysimetric measurements by 8% (R² = 0.94), which we consider to be an exceptional approximation between estimated and measured ET0, whereas estimated data obtained from the FLDAS dataset overestimates lysimetric measurements by 33% (R² = 0.90).
Innovation and Application of Knowledge Graph to Improve the Efficiency of Sports Event Operation and Promotion Methods
Authors: Li Xing , Ma Ying , Cui ZhiYing , Zhang FeiFei 
Published: December 2023

Abstract

Sports are an important way to strengthen people's body and enrich their lives, and they are also an important symbol of social development and progress of human civilization, and the operation and development level of sports events is an important standard to measure a country's comprehensive national power and civilization. The development of sports is inseparable from the operation and promotion of sports events. The coming of the Internet era has brought about great changes in the operation and promotion of sports events, audience habits and communication patterns, bringing new development opportunities to the sports event industry. Therefore, how to make the best use of the social and economic effects of sports event brands is a major issue in the theoretical and practical circles, and it is of utmost importance to do a good job of sports event brand operation. This study examines the current strategies of sports event operation and promotion from the perspective of brand operation and provides a reference for achieving a far-reaching and lasting impact of event branding. To this end, this paper proposes an intelligent analysis of the research on sports event operations using the knowledge graph method. Knowledge graph is a kind of semantic relationship graph that can be used as the auxiliary content of sports event operation system. The knowledge graph is connected by multiple nodes and edges, which together form a large semantic relational network that describes various entities or concepts and their relationships. It can uncover deeper relationships among users, between sporting events, and between users and sporting events. Converting big data content into knowledge enhances the understanding of Internet content and can be a good way to improve the efficiency of event operation and promotion.
Uplink Received Power Analysis of a 6G Network Deploying IRS
Authors: Mahbub Mobasshir , Shubair Raed M. 
Published: December 2023

Abstract
The investigation's principal purpose is to expand coverage, i.e., enable superior transmission, by utilizing IRS inside micro cellular transmission across a two-tier 6G infrastructure constituted by one micro cellular tier running within a macro cell-based tier. As a consequence, the paper investigated and contrasted the performance of regular micro cellular connectivity to IRS-enhanced micro cellular networking in terms of upstream received power utilizing simulation-based measuring approaches. According to the research, implementing IRS enhances coverage, i.e., transmission effectiveness, for 6G services significantly.
Two-fold expression of Receptor tyrosine kinase 2 (ROR2) in Giant cell tumor of bone: outcome of a case-control study.
Authors: nema sandeep kumar , ramsubramani Prem , S shiva 
Published: December 2023

Abstract

Background
Transmembrane proteins of the Wnt family and receptor tyrosine kinase (ROR1 and ROR2) suppression or overexpression has been implicated in the causation of cancers. We determined the expression of ROR2 among patients of Giant cell tumor of bone (GCT) by Quantitative PCR (qPCR).
Methods
In this case-control study, samples of GCT tumor tissue (cases) and bone from the tumor-free margin (controls) were subjected to (qPCR) in patients undergoing definitive treatment. The GCT patients were classified per radiologic classification and histologic grading.
Results
Eleven cases and controls consisting of six males and five females with a mean age of 33.18 ± 12.35 (20–50) years were included over the study period of 2 years. The median duration since diagnosis was 12 (IQR 9) months. There was a 2.51-fold change (upregulation of ROR2 expression in cases than controls which was significant ((0.00). There was an upregulation in the expression of ROR2 with tumor grades. However, it failed to reach statistical significance (Campanacci (P 0.05 cases and 0.84 controls), Jaffe (P 0.07 cases and 0.44 controls), and Enneking (0.07 cases and 0.44 controls). There was no significant effect of treatment with bisphosphonates (P 0.17) and Denosumab (P 0.75) on ROR2 expression.
Conclusion
GCT cases exhibit upregulation of ROR2 expression by more than two folds confirming its role in the causation of osteoclast-mediated bone destruction. ROR2 can be targeted for drug development in the treatment of GCT.
Assessment of Benefits in Traffic Safety for Adoption of Automated Vehicle: a System Based Dynamic Model
Authors: Sultana Nahida , Talukdar A H M Javed Hossain 
Published: December 2023

Abstract
The increasing upward trend of traffic congestion, greenhouse gas emission, fatalities in traffic crashes have been the instigating factors among the transport planner and policy makers. It eventually urges to seek for an advanced technology to ensure sustainable transport systems for last few decades. In these prevailing circumstances, Connected and Autonomous Vehicles (CAVs) have emerged as an epoch-making technology in combating traffic related issues. Road traffic safety is drawing more attention to be solved by deploying CAV technology. There are very few researches address the relationship between annual fatality reduction and CAV adoption. Therefore, this research work has been conducted to develop a mathematical model to investigate the role of CAVs in reducing crash severity and analyse the impact of CAV adoption by reducing traffic crash rate in Australia. To address the safety aspects of autonomous vehicle (AV), a system dynamic model has been developed considering only traffic safety related factors. The model outputs provide satisfactory results that address the defined objectives leading to the response of research questions. The base case provides an output of 70% annual fatality rate reduction by 2030 with the development in vehicle control. Additionally, different scenarios have been analysed to test the sensitivity of the model. The scenarios might help to formulate some policy to ensure smooth shift of AV adoption.