bluuebunny/crossref_metadata_2025_split huggingface dataset:
Occurrences of neglected tropical disease vectors identified during medical consultations at Mènontin Hospital
Authors: GBENOU Tania Sandrine , GANGLO Jean Cossi 
Published: August 2023

Abstract
Neglected tropical diseases are a group of preventable and curable diseases that affect 1.5 billion people, 40% of whom live in Africa. These diseases affect the poorest and most vulnerable populations living in remote areas of Africa. They disfigure and disable, prevent children from attending school and parents from working - limiting their potential and leaving people trapped in poverty.
The occurrences described in this publication cover the Atlantic-Littoral-Mono-Couffo-Collines-Alibori and Ouémé departments from October 1, 2017 to September 9, 2020. Patient registration records were used to extract occurrence data. A total of 4258 occurrences of neglected tropical disease vectors belonging to 9 species, 8 families and 6 orders were recorded. All occurrences have a geographical reference. The large volume of data collected, the wide geographic coverage, and the long-term nature of the observations determined the value of their inclusion in the GBIF site and the need to publish them.
Screening ability and health assessment of calf circumference and upper arm circumference on sarcopenia in Chinese community-dwelling older people: need to be accurate and population-targeted
Authors: LI Meng-Li , QI Jia-Ying , SHI Min-Hao , YIN Tong-Tong , Wang Fang-Fang , MAO Chen , ZHANG Hui , Wang Li , LU Ling-Ling 
Published: August 2023

Abstract
Purpose
This study aimed to explore the screening ability and health evaluations of upper arm circumference (AC) and calf circumference (CC) on sarcopenia in Chinese community-dwelling older people.
Methods
In Sub-study 1, 1537 participants were included. The AC, CC, handgrip strength, muscle mass and gait speed were measured. Correlation analysis, receiver operator characteristic curve (ROC curve) analysis and consistency analysis were used. In Sub-study 2, 269 participants were recruited to have physical function, body composition and muscle digital strength assessments.
Results
In Sub-study 1, the Area Under ROC (AUC)s of AC and CC for sarcopenia screening were greater than 0.700 (P<0.05). The cut-off values, sensitivity and specificity of AC and CC on sarcopenia in males were 25.9 cm (86.0%, 83.6%) and 33.7cm (90.7%, 81.4%) whereas in females were 26.5cm (70.8%, 69.7%) and 33.0cm (86.5%, 69.4%), respectively. In Sub-study 2, participants with sarcopenia-AC or sarcopenia-CC had lower fat and muscle mass and lower muscle strength in both sexes, and lower physical function in males, compared to participants without sarcopenia-AC or CC, respectively (P<0.05).
Conclusion
AC and CC have excellent screening abilities on sarcopenia and good evaluation effects on health outcomes in males in the community.
Registration of clinical trial: ChiCTR1900027960
Red cell distribution width is a short-term mortality predictor in older adults with hip osteoporotic fracture
Authors: Liu Xiao-feng , Zheng Yong-qiang , Xu Yong-quan , Lin Liang , Lin Zhen-yu , Zhang Jin-shan 
Published: August 2023

Abstract
Objective To study the relationship between red blood cell distribution width (RDW) and short-term mortality of hip fracture in the elderly.
Methods A retrospective cohort of electronic medical records at a single hospital over a 2-year period between 2020 to 2021. We received the records of 233 patients aged > 50 years who suffered from hip osteoporotic fracture. The clinical data including patients demographics, comorbidities at the time of admission, type of surgery, blood examination, 3-months mortality, 6-months mortality and 1-year mortality. The relationship between RDW and short-term mortality of hip osteoporotic fracture were analyzed. The cohore was then divided into two groups based on their RDW levels at the time of admission: low(RDW＜13.6%) and high(RDW≥13.6%).
Results The mean age was 78.03±12.09 years; 64.81% were woman. At admission, 80 patients(34.33%) had high RDW levels and 153 patients(65.67%) had low RDW levels. There were no statistically significant between the groups with regard to sex, type of operation, duration of surgery and hospitalization length. Patents with high RDW had more comorbidities (p<0.05) when compared to patients with low RDW levels. All-cause mortality was greater for patients with high RDW levels, at 3 months (p<0.05), 6 months (p<0.05), and 12 months (p<0.05).
Conclusion Red cell distribution width is significantly related with short-term mortality in hip osteoporotic fracture. The larger value of RDW, the higher risk of mortality.
Chronic pain in older adults with disabilities is associated with fall-related injuries: a prospective cohort study
Authors: Honda Hiroya , Ashizawa Ryota , Kameyama Yuto , Hirase Tatsuya , Arizono Shinichi , Yoshimoto Yoshinobu 
Published: August 2023

Abstract
Purpose
Previous studies have shown an association between chronic pain and the occurrence of falls in community-dwelling older adults; however, the association between chronic pain and fall-related injuries in older adults with disabilities is unclear. This study aimed to determine the association between chronic pain and fall-related injuries in older adults with disabilities.
Methods
This 24-month prospective cohort study included older adults aged 65 years or older using Japanese long-term care insurance services. Chronic pain, defined as "pain that has persisted for more than three months to date,” was assessed using a face-to-face questionnaire. Fall-related injuries, defined as "injuries requiring hospitalization or outpatient treatment due to a fall," were assessed using a fall calendar. Data were analyzed using a Cox proportional hazards model, with fall-related injury as the dependent variable, chronic pain as the independent variable, and confounders as covariates.
Results
Among 133 included participants, 15 experienced fall-related injuries. After adjusting for age and sex as covariates, chronic pain was significantly associated with fall-related injuries (hazard ratio: 5.487, 95% confidence interval: 1.211–24.853, p = 0.027).
Conclusions
Chronic pain was associated with fall-related injuries in older adults with disabilities. In this population, a greater focus should be placed on treating chronic pain to reduce the occurrence of falls.
How Does Distributed Leadership Promote Employees' Innovation Behavior: Mediating Role of idiosyncratic deals and Moderating Role of Proactive Personality
Authors: Fan Zili , Li Yitong , Wu Yige , Peng Ting , Li Shangju , Xue Jinli 
Published: August 2023

Abstract
Background
As a new way of leadership, distributed leadership plays an important role in dealing with complex external environment, optimizing organizational decision-making and promoting employee participation. Based on social cognitive theory, this paper reveals how distributed leadership promotes employees' innovation behavior through idiosyncratic deals, as well as moderating role of proactive personality in this process.
Methods
In order to reduce the effects of common method biases and causal lag effect, this study was divided into three stages for data collection, with a time interval of half a month. 321 employees from 7 enterprises in Wuhan, China were selected as samples. Hypothesis test was carried out by Linear Regression method, Bootstrap method and Johnson-Neyman method.
Results
The results show that distributed leadership is positively related to innovation behavior; distributed leadership has a positive impact on innovation behavior through idiosyncratic deals; proactive personality positively moderates the relationship between distributed leadership and idiosyncratic deals, and further moderates mediating effect of idiosyncratic deals between distributed leadership and innovation behavior.
Conclusion
This paper expands the research perspective of distributed leadership, indicating that it can not only support employees from top to bottom, but also enable employees to actively negotiate idiosyncratic deals with the organization from bottom to top, which promotes the enthusiasm and initiative of employees in innovation. This provides theoretical basis and practical enlightenment for managers to adopt distributed leadership.
Bioinformatic analyses and integrated machine learning reveal the role of lactate, a metabolic driver of the immune landscape, serves in idiopathic pulmonary fibrosis
Authors: Chen Chen , Zhang Shunan , Han Guiling , Yang Ting 
Published: August 2023

Abstract
Background: The development and progression of idiopathic pulmonary fibrosis (IPF) are significantly influenced by altered lactate metabolism. However, the exact mechanism has not been elucidated. This study attempted to find novel lactate metabolism-related gene signatures that could be used to predict the diagnosis, prognosis, and immune environment of IPF patients.
Methods: Transcriptome data of PBMC samples with IPF and lactate metabolism-related genes were obtained from GEO database and freely accessible data sources, respectively. DEGs analysis and integrated machine learning (LASSO regression, Random Forest, and SVM) were used to identify key genes. On the screened genes, GO analysis, KEGG pathway enrichment analysis, GSEA, and PPI network were carried out. ROC curves and Kaplan–Meier survival analysis were performed to evaluate the diagnostic performance and prognostic value of key genes. The ssGSEA analysis was used for estimating the characteristics of immune cell infiltration. In addition, we predicted the transcription factors and miRNAs upstream of the identified key genes.
Results: 50 differentially expressed lactate metabolism-related genes (DELMRGs) were identified, with 30 genes upregulated and 20 genes downregulated; 6 key DELMRGs (CA5A, COQ2, SCO2, NDUFAF4, PC, and SLC25A10) were found by additional screening using integrated machine learning. Multiple enriched terms associated with mitochondrial function and energy metabolism were found using GO and KEGG functional enrichment analysis. Diagnostic efficacy and survival analysis showed that all 6 key DELMRGs could potentially be used as diagnostic biomarkers for IPF; among them, CA5A, COQ2, and SCO2 were negatively associated with prognosis while NDUFAF4 was positively associated with prognosis in IPF. The ssGSEA and correlation analysis showed that the percentage of MDSCs, macrophages, neutrophils, gamma delta T cells, and regulatory T cells was increased in IPF; their infiltration levels were closely correlated with the expression profiles of 6 key DELMRGs.
Conclusions: Altered lactate metabolism presents in IPF and correlates with immuneresponse. We screened 6 key DELMRGs to predict the diagnosis, prognosis, and features of immune landscape with IPF. This study provides a new viewpoint to comprehend the roles of lactate metabolism and metabolic regulation of immune response serve in IPF.
A Novel Approach for Autonomous Mobile Robot Learning and Control Using a Customized Spiking Neural Network
Authors: Abubaker Brwa Abdulrahman , Razmara Jafar , Karimpour Jaber 
Published: August 2023

Abstract
The application of reinforcement learning in autonomous mobile robots is a challenging task and paid more attention to in previous years. Traditional reinforcement learning (TRL) methods have several limitations, such as extensive trial-and-error searches, complex control frameworks, slow convergence, and prolonged computation time. This article proposes a novel approach for autonomous mobile robot learning and control in unknown environments using a customized Spiking Neural Network (SNN). The proposed model combines spike-timing-dependent plasticity (STDP) with dopamine modulation as a learning algorithm. This study uses the efficient and biologically plausible Izhikevich neuron model, which can lead to the development of more biologically-inspired and computationally efficient control systems that can adapt to changing environments in unknown environments. Accordingly, this paper aims to develop an algorithm for target tracking amidst obstacles. We conducted extensive simulation experiments to evaluate the proposal in the Webots robotic environment simulator. The findings demonstrate that our proposal achieved a remarkable 100% success rate in reaching the target for the SNN trained with one obstacle without any collisions during the 972 simulated seconds. However, the SNN trained with three obstacles achieved a slightly lower success rate of 96%, with collisions occurring approximately 4% of the time during the 214 simulated seconds. These findings suggest that training the SNN with a single obstacle is more effective than training with three obstacles.
Collecting Real-World Patient Reported Outcome Through Community Pharmacies
A Pilot Exploratory Study Applied on the Effects of Introducing the Fixed Dose Combination Xultophy in the Management of Type 2 Diabetes Mellitus
Authors: Alkis Nada Bassam , Bjerrum Ole Jannik 
Published: August 2023

Abstract
This article addresses the possibility to initiate Fixed Dose Combination (FDC) therapy in form of Xultophy without prior exposure to the individual active entities of the FDC in Type 2 Diabetic Mellitus (T2DM) patients. This study used real-world patient reported outcomes (PROs) measures to compare FDC product intended for the three therapies (initial therapy, add-on therapy and substitution therapy) tested under real-world clinical practice using community pharmacy setting. The collected Patient Reported Outcomes (PROs) during the real-world clinical practice might be compared to the PROs used under controlled clinical trial settings to support labelling claims, facilitate decision making and gain authority approval. It was found that the real-world data collected may give valuable data useful for both the authority and the physician’ decision when it comes to select the suitable treatment for the individual patient.
Structural Transformation and Degradation of Cu Nanocatalysts during Electrochemical CO2 Reduction Reaction
Authors: Drisdell Walter , Lee Soo Hong , Acosta Jaime Avilés , Lee Daewon , Larson David , Li Hui , Chen Junjie , Blair Sarah , Gallo Alessandro , Zheng Haimei , Tassone Christopher , Jaramillo Thomas 
Published: August 2023

Abstract
The electrochemical CO2 reduction reaction (CO2RR) holds enormous potential as a carbon-neutral route to the sustainable production of fuels and platform chemicals. The durability for long-term operation is currently inadequate for commercialization, however, and the underlying deactivation process remains elusive. A fundamental understanding of the degradation mechanism of electrocatalysts under realistic working conditions, which can dictate the overall device performance, is needed. In this work, we report the structural dynamics and degradation pathway of Cu nanoparticles (NPs) during the CO2RR by using in situ small-angle X-ray scattering (SAXS) and X-ray absorption spectroscopy (XAS). The in situ SAXS reveals Cu NPs are agglomerated through a particle migration and coalescence process in the early stage of the reaction, followed by Ostwald ripening (OR) as the dominant degradation mechanism for the remainder of the reaction. As the applied potential becomes more negative, the OR process becomes more dominant, and for the most negative applied potential, OR dominates for the entire reaction time. Other reaction parameters, including reaction intermediates and bubble generation, induce changes in the agglomeration process and final morphology of the Cu NPs electrode, supported by post-mortem ex situ microscopic analysis. The in situ XAS analysis suggests that the majority of the Cu NPs detached from the electrode as soon as the reaction began, and the remaining Cu NPs reduced into the metallic state before the structural transformation was observed. The introduction of high surface area carbon supports with ionomer coating mitigates the degree of structural transformation and detachment of the Cu NPs electrode. These findings show the dynamic nature of Cu nanocatalysts during the CO2RR and can serve as a rational guideline toward a stable catalyst system under electrochemical conditions.
Research on Intrusion Detection Method Based on Deep Learning
Authors: Tian Chongrui , Zhang Fengbin , Li Zhaoxiang , Wang Ruidong , Huang Xunhua , Xi Liang , Zhang Yi 
Published: August 2023

Abstract
In today's information age, the scale of the Internet is growing, the information capacity is also expanding explosively, and network security is becoming more and more important. Intrusion detection is regarded as a traditional security protection technology and is a key means to ensure the security of the network environment. Among them, the deep belief network performs well, and it can automatically learn abstract features for classification. In order to further improve the detection rate and reduce the false positive rate, it is necessary to improve the detection rate of small sample data. This paper builds an intelligent deep learning model and analysis model for intrusion detection data based on TensorFlow. By learning to identify network intrusion characteristic data, the characteristic data and model are stored in the big data storage system built by Hadoop. This algorithm has achieved good experiments. result. Build a model knowledge base and an intrusion feature behavior library, use the decision tree model to automatically match the security control strategy, realize a highly intelligent security control model with self-learning ability, and solve the rapid identification of unknown intrusion behaviors. Experiments show that the algorithm can effectively improve the detection rate.
Scaffold for the Minimally Invasive Repair of Soft Tissue Inspired by Soggy Shrunk Puffed Food
Authors: He Yong 
Published: August 2023

Abstract

Minimally invasive injection of tissue engineering scaffolds has been gaining attention due to featuring several advantages of requiring a small incision, entailing a simple operation procedure, and involving a quick recovery. However, it remains challenge because larger scaffolds must pass through an extremely thin injection needle. Herein, inspired by the phenomenon that puffed food becomes soggy and shrinks when exposed to air, a novel scaffold treatment method is proposed; namely, lyophilization & dampening (L&D) treatment, which reduces the printed hydrogel scaffold volume by around 90%. Lyophilization treatment can remove water inside the scaffolds; Dampening treatment, that is, placing the freeze-dried scaffolds into a vapor atmosphere, can make scaffolds shrunk to a suitable size for minimally invasive injection. Moreover, unlike existing air-dried technique that feature high mechanical modulus, the soggy scaffolds developed herein feature low mechanical modulus (2.88 kPa), thus minimizing the foreign body sensation after implantation. Furthermore, the injected soggy scaffolds can rapidly swell into their original size and act as tissue regeneration media. Accordingly, a specialized tool namely “BioGun” is designed for the minimally invasive injection of soggy scaffolds ("BioBullet”). This novel strategy would potentially overcome existing technical bottlenecks limiting the clinical soft tissue defect repair.
Thermal Stimuli-Responsive Nanoplatform Based on Phase Change Material for Synergistic Enhancement of p53 Protein Expression in HCC
Authors: Xu Wenjing , Zhang Ting , Zhang Wenning , Jia Weilu , liu shiwei , Peng Hao , Zhang Haidong , Yang Rui , Zhang Yewei 
Published: August 2023

Abstract

TP53 is one of the most important tumor suppressor genes and is known as the “genetic guardian”. Targeting the MDM2-p53 loop is an attractive tumor treatment strategy. Herein, an organic PCM with a melting point of 43.5℃ was prepared by using biocompatible fatty acids and alcohols. PCM was used to co-encapsulate a photosensitizer (IR780) and a novel MDM2-p53 inhibitor (APG-115). The final prepared multifunctional temperature responsive release nanoplatform (PIA NPs) can not only effectively deliver APG-115 and IR780 but also act as a “gatekeeper” to protect the delivered drug, avoid hydration of IR780, and prevent drug leakage. Under 808 nm laser irradiation, the protected IR780 can melt the PCM by generating the photothermal effect, thereby achieving drug release regulated by exogenous stimuli (light). Furthermore, the oxidative stress signal (ROS) generated by the PDT effect of IR780 can promote the expression of p53 protein, collaborating with APG-115 to improve the therapeutic efficiency of HCC. PIA NPs have shown superior therapeutic effects in vivo and vitro. This PDT/PTT/MDM2-p53 inhibitor combined therapy strategy provides an unprecedented approach to the treatment of HCC via synergistically enhancing p53 expression.
Identifying Six Chromatin Remodeling-related Genes As Diagnostic Biomarkers in Sepsis Using Bioinformatic Analyses
Authors: Miao Yansong , Xing Lifeng , Li Bing , Xiao Wei , Dai Junru , Liu Ning , Qin Xuchang , He Yang , Zhao Yiming , Chen Zhonghua , Hu Li , Liu Lian , Zhang Zhongheng 
Published: August 2023

Abstract
Epigenetic modifications like chromatin remodeling play a vital role in regulating sepsis immunity. Understanding the role of chromatin remodeling in sepsis can help identify new potential therapeutic targets. Differentially expressed chromatin remodeling-related genes (DE-CRRGs) were identified between the sepsis and normal groups in GSE65682. LASSO regression, SVM, and random forest algorithms were employed to screen out six hub genes. The abundance of different immune cells in the two groups was determined using CIBERSORT. ceRNA regulatory and co-expression networks of the hub genes were constructed. Finally, using the Drug Gene Interaction Database to predict potential drugs for sepsis. Seventeen DE-CRRGs were identified, from which six hub genes were screened out: SPON2, TGM2, MMP9, DNMT1, LY96, and FOXO1. The infiltration of 16 types of immune cells differed significantly between the two groups. The hub genes were significantly correlated with activated NK cells, CD8 T cells, and plasma cells. Genes in the ceRNA regulatory and co-expression networks were mainly involved in interleukin-18 signaling, response to biological stimuli, positive regulation of cell development, etc. Finally, sixty-two drugs were predicted.
Mutual cross-feeding drives marine biofilm assembly on various carbon sources
Authors: Zhang Weipeng , Cui Han , Fan Shen , Sun Meng , Zhang Jie , Zhang Heng , Wang Shougang , Su Xiaoyan , Tian Renmao , Ding Wei , Zhang Yu 
Published: August 2023

Abstract
A major factor affecting the assembly of microbial community is environmental carbon source. It is still unclear, however, to which extent the community structure is determined by the type of carbon source, especially for marine microbiota with high diversity. Here, this research question has been systematically addressed by enrichment culture of a marine biofilm community with 69 different carbon sources, under both aerobic and anaerobic conditions, followed by analysis of 3.2 Tb of metagenomic datasets. The finding revealed that the taxonomic composition of the enrichment cultured communities is not primarily determined by carbon source. Analysis of 535 high-quality metagenome-assembled genomes revealed strong microbial coexistence across different carbon sources. Moreover, co-culture experiments with isolated strains suggested extensive microbial cooperation, which expands the range of available carbon sources. Furthermore, co-culture metabolomics and transcriptomics indicated the presence of an extracellular amino acid pool that facilitate cross-feeding, which is probably regulated by complementary gene expression. Altogether, cross-feeding based on the metabolism of essential elements (e.g., amino acids) lays the foundation of microbial cooperation, diminishing the influence of carbon source on community assembly.