bluuebunny/crossref_metadata_2025 huggingface dataset:
Surgical Options of Chiasmatic Hypothalamic Glioma - a Relevant Part of Therapy in an Interdisciplinary Approach for Tumor Control
Authors: Karbe Anna-Gila , Gorodezki David , Schulz Matthias , Tietze Anna , Gruen Arne , Driever Pablo Hernáiz , Schuhmann Martin U , Thomale Ulrich-Wilhelm
Published: June 2024

Objective
Extent of resection of pediatric low-grade glioma mostly improves progression free survival. In chiasmatic hypothalamic glioma (CHG) complete resections are limited due to high risk of associated neurological and endocrinological deficits. Still, surgery has its role in the framework of a multidisciplinary team (MDT) approach. We report our retrospective experience from two centers on surgical options and their impact on long-term outcome.
Methods
Medical records of surgically treated pediatric CHG patients between 2004 to 2022 were analyzed. Patient characteristics, surgical interventions, histology, and non-surgical therapy were retrieved together with outcome measures such as visual acuity, endocrine function, and survival.
Results
A total of 63 patients (33 female, NF-1: n = 8) were included. Age at first diagnosis was 4.6 years (range: 0.2–16.9) and cohort follow-up was 108 ± 71 months. 20 patients were surgically treated with a biopsy and 43 patients with debulking at a median age of 6.5 years (range: 0.16–16.9). Patients received a median of 2 tumor surgeries (range: 1–5). Cyst drainage was accomplished in 15 patients and 27 patients had ventriculoperitoneal shunt implantation. Non-surgical therapy was given in 69.8%. At the end of follow up 74.6% of patients had stable disease. The cohort had a median Karnofsky score of 90 (range: 0-100). Four patients died. Hormone substitution was necessary in 30.2% and visual acuity was impaired in 66% of patients.
Conclusion
Pediatric CHG is a chronic disease due to overall high survival with multiple progressions. Surgical therapy remains a key treatment option offering biopsy, tumor-debulking, cyst fenestration and hydrocephalus management in the framework of MDT decision making. Team experience contributes to reduce possible deficits in this challenging cohort.
Quaternary biocomposite of chitosan-polyvinyl alcohol/food grade algae/ montmorillonite clay for cationic methyl violet 2B dye removal: Optimization and desirability functions
Authors: Sando Muna Sarhan , Jawad ALI H. , Farhan Ahlam M.
Published: June 2024

A quaternary composite adsorbent of chitosan-polyvinyl alcohol/food grade algae/ montmorillonite clay (CS-PVA/FGA/MMT) was synthesized by hydrothermal process to be a promising adsorbent for the removal of cationic methyl violet 2B dye (MV 2B). The adsorption working variables including CS-PVA/FGA/MMT dosage (A: 0.02–0.1 g/100 mL), pH of the dye solution (B: 4–10) and contact duration (C: 20–480 min) were optimized using response surface methodology with Box-Behnken design (RSM-BBD). The optimal conditions of the adsorption key parameters were confirmed by desirability function test and identified to be CS-PVA/FGA/MMT dosage of 0.099 g/100 mL and solution pH of 8. The equilibrium adsorption studies revealed that the adsorption of MV 2B dye on CS-PVA/FGA/MMT surface follows the Langmuir isotherm model and the pseudo-second-order kinetic model. The highest adsorption capacity of CS-PVA/FGA/MMT towards MV 2B was determined to be 105.7 mg/g at 25 ⁰C based on the Langmuir isotherm model parameters. The suggested mechanism of MV 2B adsorption by CS-PVA/FGA/MMT can be assigned to the various possible interactions such as electrostatic forces, n-π stacking, and H-bonding. This study shows that the synthesized CS-PVA/FGA/MMT material possesses a unique structure and preferable adsorption capabilities towards cationic dye. Therefore, it offers a practical solution for removing harmful cationic dyes from contaminated wastewater.
Study on tunnel support stability considering rock mass expansion effect in fault fracture zone
Authors: Lizhi Cheng , Zhiquan Yang , Ping Zhao , Fengting Li
Published: June 2024

This study explores a variety of mountain settlements and stress-strain problems caused by tunnels passing through mountain fault zones. Based on the research background of the Lianfeng Mountain tunnel project, the expansion pressure of the rock mass was introduced through the Kastner formula using ABAQUS finite element simulation software. A mountain structure model was established, and the structural stress state of the mountain after tunnel excavation and the stability law of the secondary lining were studied. The results showed that for the double-layer steel frame, the inner steel frame of the tunnel bore more stress. In the normal section, the settlement of the tunnel vault was similar to the amount of bottom uplift. However, in the broken section, the settlement of the vault was significantly greater than the amount of bottom uplift. The excavation of the second tunnel during the construction of the double tunnel caused the strain in the first tunnel to increase. This study provides a theoretical reference for the safety analysis of similar mountain tunnels.
Proximity Ligation Mediated Signal Recycling with Primer Exchange Reaction for Sensitive and Accurate Methicillin-Resistant Staphylococcus Aureus (MRSA) Detection
Authors: Xu Huali , Yang Xiangke , Wang Wen , Yuan Xiaomin
Published: June 2024

Background
Infectious diseases have emerged as a significant global concern, posing a substantial burden in terms of the high morbidity and mortality, and presenting considerable challenges in clinical diagnosis and treatment. Therefore, it is highly-desired to develop new strategies for sensitive and accurate bacteria detection to address the global epidemic of antibiotic resistance.
Results
In this study, a new technique combining proximity ligation and primer exchange reaction (PER) was developed for precise identification and highly sensitive detection of Methicillin-Resistant Staphylococcus Aureus (MRSA). The antibodies recognize both protein A and PBP2a on the surface of MRSA, leading to the initiation of proximity ligation and PER process. The PER procedure generated a substantial number of G-quadruplex sequences, which subsequently bind with thioflavin T (ThT) to significantly amplify its fluorescence, enabling the detection of MRSA with a low detection limit of 3.5 cfu/mL.
Conclusion
Due to its non-label format, high selectivity, and sensitivity, this method can serve as a practical and versatile approach for detecting different bacteria in the early stages of infectious diseases.
Homogeneous catalysis and heterogeneous separation: Ionic liquids as recyclable photocatalysts for hydroacylation of olefins
Authors: Yu Bing , Li Hao-Cong , Zhang Ming , Lv Qiyan , Sun Kai , Chen Xiao-Lan , Qu Lingbo
Published: June 2024

The photoinduced ligand-to-metal charge transfer (LMCT) process has been extensively investigated, however, the recovery of photocatalysts has remained a persistent challenge in the field. In light of this issue, a novel approach involving the development of iron-based ionic liquids as photocatalysts has been pursued for the first time, with the goal of simultaneously facilitating the LMCT process and addressing the issue of photocatalyst recovery. Remarkably, the iron-based ionic liquid 1-butyl-3-methylimidazolium tetrachloroferrate (C4mim-FeCl4) demonstrates exceptional recyclability and stability for the photocatalytic hydroacylation of olefins. This study will pave the way for new approaches to photocatalytic organic synthesis using ionic liquids as recyclable photocatalysts.
Detect Local Community based on Core Node using Deep Feature Fusion
Authors: Guo Xingjun , Li Xiaohong , Shi Wanyao , Wang Siwei
Published: June 2024

Unlike global community detection, local community detection is to identify a cluster of nodes sharing similar feature information based on a given seed, which is of great significance for many real-world applications. The most popular strategies of local community detection involve either expanding local communities around seed nodes or dividing communities through subgraph clustering. However, the accuracy of many local community detection algorithms heavily relies on the quality of seed nodes. Only high-quality seed nodes can accurately detect local communities. At the same time, the inability to effectively obtain node attributes and structural information also leads to an increase in subgraph clustering error rates. In this paper, we propose a Local Community Detection based on a Core Node using deep feature fusion, named LCDCN. For the seed node, we first find the nearest node with greater significance and correlation as the core node, then construct a \(k\)-subgraph through a specific subgraph extractor based on the core node. Subsequently, two deep encoders are employed to encode and fuse the attribute and structure information of the subgraph, respectively.Finally, by optimizing the fused feature representation through a self-supervised optimization function, the local community is discovered. Extensive experiments on 10 real datasets and 4 synthetic datasets demonstrate that LCDCN outperforms its competitors in terms of performance.
Research on the decoupling effect and driving factors of carbon emissions in Hubei province's industry：based on the perspective of developing new quality productive forces
Authors: tu hongxing , xu songtao , tu peiwen , xiao xu
Published: June 2024

Under the "dual carbon" goal, the new productive forces in the industrial energy sector will become an important force in promoting the green and high-quality development of the economy and society in Hubei Province. The article comprehensively applies the Tapio decoupling model and LMDI decomposition method, and uses panel data of the industrial industry in Hubei Province from 2005 to 2021 to empirically analyze the decoupling effect of industrial carbon emissions in Hubei Province and its driving factors. Our research has found that the industrial economic growth and carbon emissions in Hubei Province roughly exhibit a complex process of changes from strong decoupling to weak decoupling, then to strong decoupling, and finally to recessive decoupling. For a considerable period of time in the future, the industrial economic growth and carbon emissions in Hubei Province will still be weakly decoupled. From the decomposition results, it can be seen that the changes in the energy intensity index and carbon intensity index are basically consistent. The decrease in energy intensity has the greatest contribution to carbon dioxide reduction, becoming a key factor driving the reduction of industrial carbon intensity in Hubei. However, the dividends brought by structural effects are still not significant. On this basis, the article proposes relevant policy recommendations, providing theoretical basis and policy basis for the high-quality development of Hubei's industry and the construction of new productive forces in the post epidemic era.
Association of Handgrip Strength Weakness and Asymmetry with Low Physical Performance among Chinese older adults
Authors: Luo Yu , Ma Xiaoyi , Zhang Ling , He Wen
Published: June 2024

Background Handgrip strength (HGS) weakness and asymmetry are both abnormal conditions of lower-limb muscle strength, but their respective correlations to low physical performance remain unclear and require further investigation.
AimsThis study aimed to investigate the associations of HGS weakness and asymmetry separately and concurrently with low physical performance among Chinese older adults.
Methods The study used two waves of data from China Health and Retirement Longitudinal Study (CHARLS) in 2013 and 2015. HGS weakness and asymmetry were defined according to the maximal HGS and the HGS ratio, respectively. Participants were classified into 4 groups according to HGS status: normal, asymmetry only, weakness only, and concurrent weakness and asymmetry. The logistic regression model was used to investigate the cross-sectional association between low physical performance and each of maximal HGS, HGS ratio, and HGS status, as well as the prospective association between baseline HGS status and new-onset physical performance decline after two years.
Results Participants with HGS asymmetry only, weakness only, and two abnormalities showed a higher prevalence of low physical performance when asymmetry defined as an HGS ratio exceeding 1.20 and 1.30 (all, p<0.001), with the greatest odds in those with two abnormalities (20% threshold: OR 4.05; 30% threshold: OR 5.32). The longitudinal analysis found that HGS weakness can predict the new-onset low physical performance over a two-year period, with concurrent HGS asymmetry further increased the future risk of physical performance decline.
Conclusions Both HGS weakness and asymmetry were associated with a higher prevalence of low physical performance, in an additive way. This study will help screen order individuals with low physical performance more efficiently, and identify those at higher risk of developing new-onset physical performance decline within two years.
Performance of Ag-doped CuO nanoparticles for photocatalytic activity applications: Synthesis, characterization, and antimicrobial activity
Authors: Mosleh Ahmed T. , Kamoun Elbadawy A. , EL-Moslamy Shahira H. , Salim Samar A. , Zahran Heba Y. , Zyoud Samer H. , Yahia Ibrahim S.
Published: June 2024

The combustion method was used to synthesize undoped Ag and Ag-doped CuO nanostructures. The Ag-doped CuO NPs were analyzed using FTIR, XRD, SEM, and EDX instrumental analyses. The energy band gap, as determined by DRS properties, decreases from 3.82 to 3.50 eV for pure CuO and 10 % of Ag/CuO NPs, respectively, with an increase in Ag concentration, with an increase in Ag concentration. The photodegradation efficiency of RhB & Carmine by 10 % of Ag/CuO NPs was found to be nearly 98.9 % and 97.8 %, respectively. Antimicrobial trials revealed that the antimicrobial efficacy of Ag/CuO NPs at several dosages (20, 40, 60, 80, 100, and 120 µg/ml) against human pathogens was initially assessed using the agar well-diffusion method, and then the broth dilution method. Noticeably, MIC of Ag/CuO NPs for all pathogens ranged from 100 to 120 µg/ml, was determined. Generally, the observed MBCs have a wide range of Ag/CuO NPs doses, ranging from 150 to 300 µg/ml, which helps to kill (99.99 %) of all tested pathogenic cells. The largest relative inhibitory activities (%) were recorded against Escherichia coli (81.45 ± 1.39) at 120µg/ml of Ag/CuO NPs and 100 µg/ml (80.43 ± 0.59), followed by 80µg/ml (72.33 ± 0.82). Additionally, the lowest relative inhibitory activities (%) were monitored versus fungal cells and Gram-positive bacteria at 120µg/ml of Ag/CuO NPs as 52.17 ± 1.49 and 53.42 ± 1.71, respectively. Ag/CuO NPs are an ideal material for both the degradation of organic pollutants and the removal of bacterial strains in wastewater.
MiR-6837-3p protected retinal epithelial cells from oxidative stress by targeting E2F6 Running Title：MiR-6837-3p Protected retinal cells
Authors: Zhao Xin , Chen Xinru , Xin Xiangyang
Published: June 2024

Aim
The mechanism of age-related macular degeneration (AMD) is a complex illness that is not fully understood. Therefore, the aim of this study was to investigate the expression patterns of miR-6837-3p in retinal epithelial cells.
Methods
MiR inhibitors and mimics were used to inhibit or overexpress miR-6837-3p in H2O2-treated ARPE-19 cells, respectively. Then, CCK8 assay, flow cytometry, and wound healing assays were conducted to assess the effects of miR-6837-3p on the behaviors of ARPE-19 cells, including cell growth, apoptosis, cycle progression, and migration. Finally, microRNA database prediction and luciferase reporter assays were used to demonstrate that miR-6837-3p targets the downstream gene E2F6.
Results
Overexpression of miR-6837-3p increased cell viability and suppressed apoptosis in ARPE-19 cells treated with H2O2. Meanwhile, increased miR-6837-3p promotes cell cycle progression and cell migration of ARPE-19 cells. Finally, miR-6837-3p binds to E2F6 to inhibit its expression and regulates the expression of the apoptosis indicator caspase3 in ARPE-19 cells.
Conclusions
The MiR-6837-3p/E2F6 axis might be a target for the treatment of AMD to improve ARPE-19 cell function.
Quartz textures, trace elements, fluid inclusions, and in situ oxygen isotopes from Aktogai porphyry Cu deposit, Kazakhstan
Authors: Li Changhao , Shen Ping , Seltmann Reimar , Zhang Di , Pan Hongdi , Seitmuratova Eleonora
Published: June 2024

The Paleozoic Aktogai Group in Kazakhstan ranks among the 30 largest porphyry Cu deposits globally. The Aktogai deposit is the largest one in the Aktogai Group and is characterized by intensive potassic alteration where the dominant orebody occurred. However, its mineralization processes still need to be clarified. Our investigation focused on the texture, trace elements, fluid inclusions, and in situ oxygen isotopes of the quartz from the ore-related tonalite porphyry and associated potassic alteration at Aktogai to trace the deposit’s mineralization processes. Ti-in-quartz thermobarometry, fluid inclusion microthermometry, and geological characteristics indicate that the ore-related magma at Aktogai originated from a shallow magma chamber at ∼1.9 ± 0.5 kbar (∼7.2 ± 1.9 km) and intruded as the tonalite porphyry stock at ∼1.7–2.4 km. The potassic alteration and associated Cu mineralization comprise five types of veins (A1, A2, B1, B2, and C) and two types of altered rocks (biotite and K-feldspar). Among them, nine types of hydrothermal quartz were identified from early to late: (1) VQA1 in A1 veins and RQbt in biotite-altered rocks; (2) VQA2 in A2 veins and RQkfs in K-feldspar altered rocks; (3) VQB1 in B1 veins and VQB2E in B2 veins; and (4) quartz associated with Cu-Fe sulfides (VQB2L, VQBC, and VQC) in B and C veins. Titanium contents of the quartz decreased, while Al/Ti ratios increased from early to late. Fluid inclusion microthermometry and mineral thermometers reveal that VQA1, RQbt, and hydrothermal biotite formed under high-temperature (∼470–560 °C) and ductile conditions. VQA2, RQkfs, VQB1, and hydrothermal K-feldspar formed during the transition stage from ductile to brittle, with temperatures of ∼350–540 °C. The rapid decrease in pressure from lithostatic to hydrostatic pressure led to fluid boiling and minor involvement of meteoric water (∼11–14%) in the mineralizing fluid. Extensive recrystallization in VQA1 to VQB1 was associated with repeated cleavage and healing of the intrusion. With cooling, K-feldspar decomposition and hydrolysis increased. Fluid cooling and water-rock reactions resulted in the co-precipitation of Cu-Fe sulfides, white mica, chlorite, VQBC, and VQC at temperatures of ∼275–370 °C and brittle conditions. The Paleozoic Aktogai deposit exhibits formation depths and fluid evolution processes similar to Mesozoic and Cenozoic porphyry Cu deposits worldwide. The close association between Cu-Fe sulfides and later quartz formed under intermediate-temperature conditions at Aktogai implies that Cu-Fe sulfides are not precipitated under early high-temperature conditions in porphyry Cu deposits.
Carroll fermions
Authors: Bergshoeff Eric A. , Campoleoni Andrea , Fontanella Andrea , Mele Lea , Rosseel Jan
Published: June 2024

Using carefully chosen projections, we consider different Carroll limits of relativistic Dirac fermions in any spacetime dimensions. These limits define Carroll fermions of two types: electric and magnetic. The latter type transforms as a reducible but indecomposable representation of the Carroll group. We also build action principles for all Carroll fermions we introduce; in particular, in even dimensions we provide an action principle for a minimal magnetic Carroll fermion, having the same number of components as a Dirac spinor. We then explore the coupling of these fermions to magnetic Carroll gravity in both its first-order and second-order formulations.
Leveraging Artificial Intelligence for Synergies in Drug Discovery: From Computers to Clinics
Authors: Arora Priyanka , Behera Manaswini , Saraf Shubhini A. , Shukla Rahul
Published: June 2024

:

Over the period of the preceding decade, artificial intelligence (AI) has proved an outstanding performance
in entire dimensions of science including pharmaceutical sciences. AI uses the concept of machine
learning (ML), deep learning (DL), and neural networks (NNs) approaches for novel algorithm and hypothesis
development by training the machines in multiple ways. AI-based drug development from molecule identification
to clinical approval tremendously reduces the cost of development and the time over conventional methods.
The COVID-19 vaccine development and approval by regulatory agencies within 1-2 years is the finest
example of drug development. Hence, AI is fast becoming a boon for scientific researchers to streamline their
advanced discoveries. AI-based FDA-approved nanomedicines perform well as target selective, synergistic
therapies, recolonize the theragnostic pharmaceutical stream, and significantly improve drug research outcomes.
This comprehensive review delves into the fundamental aspects of AI along with its applications in the
realm of pharmaceutical life sciences. It explores AI's role in crucial areas such as drug designing, drug discovery
and development, traditional Chinese medicine, integration of multi-omics data, as well as investigations
into drug repurposing and polypharmacology studies.
Emerging Role of Sorting Nexin 17 in Human Health and Disease
Authors: Chen Juan , Su Yan-Hong , Wang Meng , Zhang Yi-Chen
Published: June 2024

:

The distortion of the cellular membrane transport pathway has a profound impact on
cell dynamics and can drive serious physiological consequences during the process of cell sorting.
SNX17 is a member of the Sorting Nexin (SNX) family and plays a crucial role in protein sorting
and transport in the endocytic pathway. SNX17, SNX27, and SNX31 belong to the SNX-FERM
subfamily and possess the FERM domain, which can assist in endocytic transport and lysosomal
degradation. The binding partners of SNX27 have been discovered to number over 100, and
SNX27 has been linked to the development of Alzheimer's disease progression, tumorigenesis,
cancer progression, and metastasis. However, the role and potential mechanisms of SNX17 in human
health and disease remain poorly understood, and the function of SNX17 has not been fully
elucidated. In this review, we summarize the structure and basic functions of SNX protein, focusing
on providing current evidence of the role and possible mechanism of SNX17 in human neurodegenerative
diseases and cardiovascular diseases.
Emerging Anti-Inflammatory Attributes of Curcumin: A Novel Paradigm
and Ameliorative Attributes for the Treatment of Osteoarthritis
Authors: Bajpai Priyanka , Chandra Phool
Published: June 2024

Strong oxidant, curcumin, is diferuloyl methane; a member of the class of phenols
known as curcuminoids that give Indian medicinal plants their characteristic turmeric-yellow hue.
Over 5000 years ago, curcumin was first employed in the traditional Indian medical system. A
growing amount of investigation reveals that curcumin has several pharmacological characteristics,
including anticancer, hepatoprotective, anti-inflammatory, antioxidant, and antibacterial properties.
Clinical tests revealed no harm, but some participants did have moderate nausea or diarrhea.
A degenerative joint condition known as osteoarthritis affects elderly populations all over
the world. It has a chronic inflammatory etiology, which contributes to chondrocyte loss that results
in a thinner surface of cartilage at the affected joints. Curcumin has been scientifically demonstrated
to exhibit medicinal benefits for osteoarthritis (OA), and further research is being conducted
on the numerous ways through which it suppresses inflammation and slows the progression
of ailments. Clinical and preclinical studies suggest the potential efficacy of curcumin in managing
osteoarthritis, warranting further investigation. With emphasis on the mechanisms associated,
this review seeks to completely outline the clinical effectiveness of curcumin using data from
a variety of scientific studies that have been published so far.
A Dynamic Context Encoder Network for Liver Tumor Segmentation
Authors: Liu Jun , Fang Jing , Jiang Tao , Zhou Chaochao , Shao Liren , Song Yusheng
Published: June 2024

Background:

Accurate segmentation of liver tumor regions in medical images is of great significance for clinical diagnosis and the planning of surgical
treatments. Recent advancements in machine learning have shown that convolutional neural networks are powerful in such image processing while
largely reducing human labor. However, the variable shape, fuzzy boundary, and discontinuous tumor region of liver tumors in medical images
bring great challenges to accurate segmentation. The feature extraction capability of a neural network can be improved by expanding its
architecture, but it inevitably demands more computing resources in training and hyperparameter tuning.

Methods:

This study presents a Dynamic Context Encoder Network (DCE-Net), which incorporates multiple new modules, such as the Involution Layer,
Dynamic Residual Module, Context Extraction Module, and Channel Attention Gates, for feature extraction and enhancement

Results:

In the experiment, we used a liver tumor CT dataset of LiTS2017 to train and test the DCE-Net for liver tumor segmentation. The experimental
results showed that the four evaluation indexes of the method, precision, recall, dice, and AUC, were 0.8961, 0.9711, 0.9270, and 0.9875,
respectively. Furthermore, our ablation study reported that the accuracy and training efficiency of our network were markedly superior to the
networks without involution or dynamic residual modules.

Conclusion:

Therefore, the DCE-Net proposed in this study has great potential for automatic segmentation of liver lesion tumors in the clinical diagnostic
environment.
Integrated Web Application (Snips2HLA-HsG) Development for Sample Preparation and Model Creation for HLA Allele Prediction with the SNP Data Using HIBAG Package of Bioconductor and R Programming
Authors: Sivaprakasam Balamurugan , Sadagopan Prasanna
Published: June 2024

The present study introduces Snips2HLA-HsG, an integrated application designed for SNP genotype analysis and HLA allele type prediction. Leveraging attribute bagging, a powerful ensemble classifier technique from the Bioconductor HIBAG package, Snips2HLA-HsG offers a comprehensive response for genetic analysis. Accessible via https://snips2hla.shinyapps.io/hla_home/, the application distinguishes itself by prioritizing user-friendliness and integrating all-purpose functionalities, including sample preparation, model generation, HLA prediction, and accuracy assessment. In contrast to the fragmented landscape of existing HLA imputation software, this study addresses the need for an integrated, user-centric platform. By streamlining processes and enhancing accessibility, Snips2HLA-HsG ensures usability, even for biologists with limited computer proficiency. Future updates will address the choice between one or ten classifiers, aiming to optimize server utility and meet research needs effectively by adding more classifiers to utilize multiple cores for faster calculations. Looking ahead, Snips2HLA-HsG will undergo regular updates and maintenance to ensure continued effectiveness and relevance in genetic research. Maintenance efforts will focus on resolving issues or bugs and providing ongoing user support.
Examining HIV Testing Coverage and Factors Influencing First-Time Testing Among Men Who Have Sex With Men in Zhejiang Province, China: Cross-Sectional Study Based on a Large Internet Survey (Preprint)
Authors: He Lin , Jiang Tingting , Chen Wanjun , Jiang Shaoqiang , Zheng Jinlei , Chen Weiyong , Wang Hui , Ma Qiaoqin , Chai Chengliang
Published: June 2024

BACKGROUND

Men who have sex with men (MSM) constitute a significant population of patients infected with HIV. In recent years, several efforts have been made to promote HIV testing among MSM in China.

OBJECTIVE

This study aimed to assess HIV testing coverage and factors associated with first-time HIV testing among MSM to provide a scientific basis for achieving the goal of diagnosing 95% of patients infected with HIV by 2030.

METHODS

This cross-sectional study was conducted between July 2023 and December 2023. MSM were recruited from the “Sunshine Test,” an internet platform that uses location-based services to offer free HIV testing services to MSM by visiting the WeChat official account in Zhejiang Province, China. Participants were required to complete a questionnaire on their demographic characteristics, sexual behaviors, substance use, and HIV testing history. A logistic regression model was used to analyze first-time HIV testing and its associated factors.

RESULTS

A total of 7629 MSM participated in the study, with 87.1% (6647) having undergone HIV testing before and 12.9% (982) undergoing HIV testing for the first time. Multivariate logistic regression analysis revealed that first-time HIV testing was associated with younger age (adjusted odds ratio [aOR] 2.55, 95% CI 1.91-3.42), lower education (aOR 1.39, 95% CI 1.03-1.88), student status (aOR 1.35, 95% CI 1.04-1.75), low income (aOR 1.55, 95% CI 1.16-2.08), insertive anal sex role (aOR 1.28, 95% CI 1.05-1.56), bisexuality (aOR 1.69, 95% CI 1.40-2.03), fewer sex partners (aOR 1.44, 95% CI 1.13-1.83), use of rush poppers (aOR 2.06, 95% CI 1.70-2.49), unknown HIV status of sex partners (aOR 1.40, 95% CI 1.17-1.69), lack of awareness of HIV pre-exposure prophylaxis (aOR 1.39, 95% CI 1.03-1.88), and offline HIV testing uptake (aOR 2.08, 95% CI 1.80-2.41).

CONCLUSIONS

A notable 12.9% (982/7629) of MSM had never undergone HIV testing before this large internet survey. We recommend enhancing HIV intervention and testing through internet-based platforms and gay apps to promote testing among MSM and achieve the target of diagnosing 95% of patients infected with HIV by 2030.
The Impact of the COVID-19 Pandemic on Oldest-Old Social Capital and Health and the Role of Digital Inequalities: Longitudinal Cohort Study (Preprint)
Authors: Valla Luca Guido , Rossi Michele , Gaia Alessandra , Guaita Antonio , Rolandi Elena
Published: June 2024

BACKGROUND

During the COVID-19 pandemic, information and communication technology (ICT) became crucial for staying connected with loved ones and accessing health services. In this scenario, disparities in ICT use may have exacerbated other forms of inequality, especially among older adults who were less familiar with technology and more vulnerable to severe COVID-19 health consequences.

OBJECTIVE

This study investigated changes in ICT use, psychological and physical health, and social capital before and after the pandemic among the oldest old population (aged 80 years or older after the pandemic) and explored how internet use influenced these changes.

METHODS

We leveraged data from the InveCe.Ab study, a population-based longitudinal cohort of people born between 1935 and 1939 and living in Abbiategrasso, a municipality on the outskirts of Milan, Italy. Participants underwent multidimensional assessment at baseline (2010) and after 2, 4, 8, and 12 years. We restricted our analysis to cohort members who participated in the last wave (ie, 2022) and who did not have a diagnosis of dementia (n=391). We used linear mixed models to assess the impact of COVID-19 and time on changes in social capital, physical and psychological health, and ICT use in a discontinuity regression design while controlling for age, sex, education, and income satisfaction. Then, we assessed the influence of internet use and its interaction with COVID-19 on these changes.

RESULTS

COVID-19 had a significant impact on social relationships (β=–4.35, 95% CI 6.38 to –2.32; P<.001), cultural activities (β=–.55, 95% CI –0.75 to –0.35; P<.001), cognitive functioning (β=–1.00, 95% CI –1.28 to –0.72; P<.001), depressive symptoms (β=.42, 95% CI 0.10-0.74; P=.009), physical health (β=.07, 95% CI 0.04-0.10; P<.001), and ICT use (β=–.11, 95% CI –0.18 to –0.03; P=.008). Internet use predicts reduced depressive symptoms (β=–.56, 95% CI –1.07 to –0.06; P=.03) over time. The interaction between internet use and COVID-19 was significant for cultural activities (β=–.73, 95% CI –1.22 to –0.24; P=.003) and cognitive functioning (β=1.36, 95% CI 0.67-2.05; P<.001).

CONCLUSIONS

The pandemic had adverse effects on older adults’ health and social capital. Contrary to expectations, even ICT use dropped significantly after the pandemic. Internet users maintained higher psychological health regardless of time and COVID-19 status. However, COVID-19 was associated with a steeper decline in cognitive functioning among internet nonusers. Policy makers may develop initiatives to encourage ICT adoption among older adults or strengthen their digital skills.

CLINICALTRIAL

ClinicalTrials.gov NCT01345110; https://clinicaltrials.gov/study/NCT01345110
“Evaluation of efficacy of Tablet Babul (Acacia nilotica) versus Tablet Sallaki (Boswellia serrate) along with Abhyanga (external oleation therapy) in both groups in the management of Janusandhigata vata (Knee Osteoarthritis):Protocol for a Randomized Controlled Trial” (Preprint)
Authors: Misar(Wajpeyi) Sadhana
Published: June 2024

BACKGROUND

Sandhigatavata (Osteoarthritis) develops as a result of vitiation of the Vata dosha. The most affected joint is Janusandhi (Knee joint). The symptoms include pain, swelling, and eventually dislocation and loss of function when vitiated Vata Dosha enters the joint. Babul (Acacia nilotica) has anti-osteoarthritic, analgesic, anti-inflammatory, and antioxidant effects.

OBJECTIVE

1. To evaluate the efficacy of Tab.Babulphalamajja with Abhyanga in the management of Janu Sandhigata Vata.
2. To evaluate the efficacy of Tab.Sallaki with Abhyanga in the management of Janu Sandhigata Vata.
3. To compare the efficacy of Tab.Babulphalamajja with Abhyanga and Tab.Sallaki with Abhyanga in the management of Janu Sandhigata Vata.

METHODS

Total 160 patients will be divided in 2 equal groups, 80 in each. They will be treated with Babulphala tablet and Sallaki tablet along with Abhyanga in both groups for 30 days and assessed for Sandhishool (Joint pain), Sandhi vedana at the time of Akunchan and prasaran (pain during flexion and extension) , Sparshasahatwa (Tenderness), Sandhishotha (Joint swelling), Sandhi Graha (Stiffness), Vatapurna Drutisparsha (Crepitation), Walking Time, Range of movement of knee joint and Modified WOMAC index on day 15, 30, and 45.

RESULTS

–Data will be collected by assessing subjective and objective criteria. Obtained data will be subjected to statistical analysis.

CONCLUSIONS

Conclusion will be drawn from the result obtained.

CLINICALTRIAL

Clinical trial registry with Trial REF/2022/12/061411
Diversity of Actinomycetes Isolated from Peat Soil of Undistrubed Forest and Pineapple Plantation in Sessang, Sarawak
Authors: Heng Jeffrey Lim Seng , Hamzah Halizah , Nejis Norzaimawati Aman
Published: June 2024

Peatland plays an important role not just as a carbon store but also in facilitating the flux of greenhouse gasses into the atmosphere. Apart from that, peatland is also home to a diverse population of microorganisms such as bacteria, fungi, and actinomycetes. Actinomycetes were known to be one of the most ubiquitous microbes that can be found in most of the soil types including peat soil. In this study, seventy isolates of actinomycetes were isolated from the peat soil using the soil dilution method. The 70 isolates of actinomycetes were later screened for their ability to produce secondary metabolites and antimicrobial activities using the agar diffusion method before the selected potential isolates were identified by targeting their 16S rRNA region. The results obtained showed 34.3% produce cellulase followed by, 12.8, 31.7, 80.0, and 51.4% for mannanase, xylanase, lipase, and protease respectively. The percentage of actinomycetes producing antimicrobial activity was 27.1 and 21.4% for Ralstonia solanacearum and Colletotrichum gleosporioides respectively. All the selected isolates of actinomycetes were identified as belonging to the genus of Streptomycetes spp. The potential actinomycetes were stored in freeze-dried form for future usage. This study showed that  more diverse population of actinomycetes was obtained from the undisturbed forested peat soil area ecosystem compared to the agricultural peat soil area.
Microbial Count and AvBD10 Expressions in Ovaries and Oviducts of Kampung Unggul Balitbangtan (KUB)-1 Chickens Following Intravaginally CpG-ODN and S. Enteritidis
Authors: Suryohastari Raden Rara Bhintarti , Sumarsono Sony Heru , Giri-rachman Ernawati Arifin , Edi Suryo Purnomo , Sukoco Rinto , Wicaksana Dwi Nawang
Published: June 2024

Indonesia boasts diverse native chickens (Gallus gallus domesticus) known for more disease resistance in comparison to broiler chicken, and Kampung Unggul Balitbangtan (KUB)-1 is designated as Indonesia's superior breed. Salmonella Enteritidis (SE) is associated with salmonellosis, a foodborne illness that can be transmitted by transovarial, wherein colonisation in the oviduct ascends to the ovaries. However, studies mimicking transovarial salmonellosis via intravaginal treatment of chicken have been limited. Meanwhile, Cytosine-phosphate-guanine oligodeoxynucleotide (CpG-ODN) stimulation has been known to induce avian β-defensins (AvBDs). This in vivo study aimed to determine the effects of intravaginal CpG-ODN treatment and SE challenged on microbial count and AvBD10 expression regarding the potential of intravaginally CpG-ODN to enhance innate immunity as an alternative approach against transovarial Salmonellosis. A total of 39 KUB-1 chickens were divided into four groups: T1 (CpG-ODN treatment), T2 (SE treatment), T3 (CpG-ODN treatment + challenged with SE), and C (Control). Observation was carried out from day 1 to day 4 post-intravaginal (PI). We found a significant increase in ovarian microbial count (p≤0.05). Notably, ovaries and oviducts remained uncontaminated post-SE challenge. Intravaginal CpG-ODN treatment significantly upregulated AvBD10 in both ovaries (p=0.016) and oviducts (p=0.023). Therefore, KUB-1 chickens exhibit SE immunity, and intravaginal CpG-ODN administration holds promise for preventing transovarial Salmonellosis in laying hens.
Application of Power Electronics Technology in Renewable Energy Systems
Authors: Xiao Mingxin
Published: June 2024

This paper primarily studies the application of power electronics technology in renewable energy systems. Firstly, it introduces the current development status and challenges of renewable energy, then focuses on the application of power electronics technology in wind power generation systems, solar power generation systems, and other renewable energy systems. Through the analysis of related literature and case studies, the important role of power electronics technology in improving the efficiency, stability, and reliability of renewable energy systems is summarized. In wind power generation systems, power electronics technology improves generation efficiency through variable speed control and power regulation and plays a crucial role in grid connection and fault protection. In solar power generation systems, power electronics technology is mainly reflected in photovoltaic inverters and Maximum Power Point Tracking (MPPT) technology, effectively improving solar energy utilization and system stability. Additionally, power electronics technology has also achieved significant results in other renewable energy systems such as geothermal and ocean energy generation. Finally, the paper forecasts the future development trends of power electronics technology in renewable energy systems, pointing out that intelligence, integration, and high efficiency will be the future directions.
ON THE ISSUE OF VIEWS ON THE UNIVERSE AND THE PROBLEMS OF THE BIG BANG
Authors: Paraev V. V.
Published: June 2024

A brief analysis of the fundamental problems of cosmology, the essence of space and time, and their relationship with matter is given. In the proposed concept, the main provisions are based on the understanding of matter as the only reality of what exists, including what has not yet been known. Matter is characterized by its sharp physical heterogeneity in the volume of Space and continuous development over Time. Spacetime is considered as an active medium. It plays the role of the basis of the functional connection between all natural objects. Cosmological models and the phenomenon of the “Big Bang” are discussed within the framework of ontological problems of Being.
Compromiso de las empresas cementaras y siderúrgicas de la ciudad de Sogamoso frente al medio ambiente
Authors: Cáceres Quevedo Armando , Cabezas Rodríguez Libeth Juliana , Rojas Madero Johana Katerine , Vega Monroy Yenny Milena , Gutiérrez Luisa Fernanda
Published: June 2024

En este trabajo estudia los compromisos de las empresa cementeras y siderúrgicas de la ciudad de Sogamoso con el cambio climático se desarrolló una investigación de tipo mixta con un enfoque descriptivo, por medio de encuesta estructurada y aplicada a las empresas entre grande y medianas, con una muestra que logró establecer el estado de responsabilidad social empresarial dentro de la sostenibilidad y la descarbonización de la empresas en los procesos productivos y los compromisos con el pacto global hacia Cero Net como meta propuesta para 2035 y la contribución con el cambio climático y efecto invernadero. Los compromisos con el cambio climático permiten identificar los factores con los grupos de interés y la responsabilidad medio ambiental de acuerdo a las exigencias del cambio climático y los determinantes de la descarbonización de los procesos productivos de las empresas siderúrgicas y cementaras, además la responsabilidad social está asociado a los objetivos de desarrollo sostenible y las implicaciones hacia la sostenibilidad y la responsabilidad social empresarial. Sogamoso ha sido considerada como una de las ciudades con un alto grado de contaminación según. ESRI (2018) Los resultados arrojaron evidencias claras sobre la responsabilidad social empresarial hacia los aspectos en el medio ambiente y el plan de descontaminación y estabilización del aprovechamiento de los recursos naturales, establecidas en los indicadores del impacto medioambiental por lo que se puede identificar oportunidades de mejora en estas empresas cementeras y siderúrgicas de la ciudad de Sogamoso.
Identificación de las habilidades blandas requeridas al talento humano, para su contratación en Pymes del Distrito de Santa Marta en el 2022
Authors: González Martínez Maira Alejandra , Fandiño Isaza Jesús Rafael
Published: June 2024

La finalidad de este estudio consistió en comprender y caracterizar el proceso, fenómeno o influencia directa entre la contratación y las habilidades blandas tal como ocurre en la realidad; para lo cual se realizó una revisión de información que brindara un punto de partida en la investigación. La metodología utilizada consistió en una (1) una encuesta estándar con preguntas abiertas y cerradas que permitieran determinar si prevalece una relación natural entre las habilidades blandas y la contratación. Finalmente concluimos que, a nivel empresarial, para las pymes en jurisdicción del distrito de Santa Marta las habilidades blandas están estrechamente relacionados con la decisión de contratación por parte del reclutador, de tal manera que se convierten en un requisito indispensable para lograr un espacio en el competitivo mundo laboral. Por otro lado, se observó que el rango generacional no repercute ni genera distinción a la hora de solicitar las habilidades blandas como requerimiento para la contratación.
The relationship between business strategy and internal control in aquaculture firms
Authors: Truong Duc Dinh , Do Duc Tai , Le Thi Huong Tra , Duong Thi Quynh Lien , Tran The Nu , Ha Thi Thu Phuong
Published: June 2024

Any company that wants to achieve both financial and non-financial performance needs to have internal controls. Internal controls are intended to reduce risks, safeguard resources, guarantee accurate financial reporting, boost productivity, and ease compliance (Bashaija, 2022). The purpose of this study is to investigate how internal control and business strategy interact in Vietnamese aquaculture companies. To gather information, a survey of 225 workers in Vietnamese aquaculture companies was done. Through qualitative and quantitative methodologies, we used Cronbach’s alpha, exploratory factor analysis (EFA), and regression analysis to determine the relationship between business strategy and internal control. The results showed that the business strategy had a positive relationship with internal control. In particular, the defensive strategy is the strongest. From the findings, this study suggests several recommendations to improve internal control, such as improving business strategy. The findings are thought to be a helpful resource for Vietnamese aquaculture companies looking to move toward sustainable development.
Non-adherence to Imatinib despite availability: Analysis from a resource limited setting
Authors: Pandey Deepak , CHUGH PREETA , Chaudhry Sumita
Published: June 2024

Purpose: The effective treatment of chronic myeloid leukemia (CML)
remains a challenge due to non-adherence to Imatinib. We aimed to assess
the factors associated with non-adherence to Imatinib therapy in newly
diagnosed patients with CML. Methods: Eighty-two adult patients
initiating Imatinib were recruited. Adherence was measured using
medication possession ratio (MPR) and visual analogue scale (VAS) at 90
days. Demographic, clinical and quality-of-life variables were assessed
at baseline. Pearson’s correlation and linear regression analyses were
performed to identify associations and independent predictors of
non-adherence respectively. Results: Twenty-two percent (18/82) of
patients were non-adherent (MPR ≤ 85). Self-reported adherence via VAS
correlated significantly with MPR. Among various factors, cognitive
function score and occurrence of adverse drug event (ADR) were
associated with adherence. The impact of disease on daily-life score was
negatively associated with adherence. The independent predictors of
adherence were role function score and impact of disease on mood score.
Conclusions: This study identified cognitive and role function, impact
of disease on daily life and mood and occurrence of ADR as variables
influencing non-adherence to Imatinib in CML patients. Early
identification of these factors can guide interventions to improve
adherence and treatment outcomes.
EXISTENCE OF SOLUTION FOR TWO CLASSES OF QUASILINEAR SYSTEMS DEFINED ON A NON-REFLEXIVE ORLICZ-SOBOLEV SPACES
Authors: SILVA LUCAS DA , Souto Marco A.S.
Published: June 2024

This paper proves the existence of nontrivial solution for two classes
of quasilinear systems of the type { − ∆ Φ 1 u = F u ( x , u , v )+ λ R
u ( x , u , v ) in Ω − ∆ Φ 2 v = − F v ( x , u , v ) − λ R v ( x , u , v
) in Ω u = v = 0 on ∂ Ω where λ>0 is a parameter, Ω
is a bounded domain in R N ( N≥2) with smooth boundary ∂Ω.
The first class we drop the ∆ 2 -condition of the functions Φ~̵̃ i (
i=1 ,2) and assume that F has a double criticality.
For this class, we use a linking theorem without the Palais-Smale
condition for locally Lipschitz functionals combined with a
concentration–compactness lemma for nonreflexive Orlicz-Sobolev space.
The second class, we relax the ∆ 2 -condition of the functions Φ i (
i=1 ,2). For this class, we consider F=0 and
λ=1 and obtain the proof based on a saddle-point theorem of
Rabinowitz without the Palais-Smale condition for functionals Fréchet
differentiable combined with some properties of the weak
topology.