bluuebunny/crossref_metadata_2025_split huggingface dataset:
Epidemic characteristics of local HIV-2 transmission across Hunan province, China
Authors: ZOU Xiaobai , HE Jianmei , LI Xiaojun , ZHENG Jun , SU Xiaolin , CHEN Jie , Xi Chen 
Published: January 2024

Abstract

Objects: To understand the epidemic characteristics of HIV-2 across Hunan province, China, through sequence analysis.
Methods: This study enrolledall 13 subjects that were diagnosed as HIV-2 infection during 2017~2023 in Hunan province, China. The HIV-2 env and polregions were amplified, folloed by Sanger sequencing. Phylogenetic and molecular propagation network analysis were employed to discern molecular characteristics and transmission patterns.
Result: All the 13 subjects acquired HIV-2 through heterosexual contact. They included 6 males and 7 females, while their median age was 54 years. These subjects included 3 couples of either sexual partners or married couples (HN001 and HN013, HN010 and HN011, as well as HN008 and HN009). Subject HN004 was reported to have commercial sexual activity engagement. In addition, Subjects HN001, HN003, HN008, and HN010 had participated in commercial sexual activities at the location that HN004 served as a sexual worker. Via phylogenetic tree analysis on the pol gene, sequences from all subjects were closely neighboring with the reference sequences from Gambia (Sub-type A). Using a genetic distance threshold of 1.5%, 7 out of the 13 subjects could be integrated into a molecular transmission network, and HN002 and HN004 were identified as the central nodes.
Conclusion: During 2017~2023, all HIV-2 infected patients in Hunan province, China, acquired HIV-2 through a traceable route, while similar HIV-2 strains were transmitting among these patients.
Effects of gut bacterial community on differential growth of sea cucumber (Apostichopus japonicus): Molecular mechanisms based on host-gut microbiome co-metabolism
Authors: Wang Luo , Zhang Jingjing , Liu Anzheng , Pei Honglin , Tian Ying , Chang Yaqing , Hao Zhenlin , Ding Jun 
Published: January 2024

Abstract

Background Gut microbiome and their metabolites are increasingly recognized for their pivotal role in regulating the health and growth of the host. The mechanism by which the host-gut microbiome co-metabolism affects the growth rate of sea cucumber (Apostichopus japonicus) remains unclear. In this study, the intestinal wall tissues of fast-growing (FG) and slow-growing (SG)A. japonicuswere collected from the full-sib family for 16S amplicon sequencing, metagenomics, metabolomics, and transcriptomics analyses. Results The results showed a marked variation in the gut bacterial community ofA. japonicuswith different growth rates. Compared with SG group, FGA. japonicushad a higher abundance of Bacteroidetes. Many of these bacteria were associated with the degradation of polysaccharides, which could potentially affect growth performance. The abundance of Proteobacteria, however, was found to be higher in SGA. japonicus, thereby increasing the potential risk of disease. The metabolome results were further supported by the predicated KEGG functions of the gut microbiomes, lots of metabolites related to the metabolism and biosynthesis of fructose 6-phosphate, arachidonic acid, oleic acid, and dihydroxyacetone phosphate were upregulated in the FGA. japonicus. Furthermore, the genes (IGF1,HK,PK,PCK1) were significantly upregulated in the FGA. japonicus, which were mainly enriched in the metabolic pathways of lipids, amino acids, and carbohydrates. Conclusions Gut bacterial community via their unique metabolic pathways, which in turn affected the metabolic phenotypes of the organism and eventually led to differences in growth performance ofA. japonicus. These findings might help understand the molecular mechanisms of growth gap in sea cucumber, thereby increasing the mariculture production.
The impact of perceived organizational justice on young nurses' job performance: a chain mediating role of organizational climate and job embeddedness
Authors: Song Jiamei , Shi Xindi , Zheng Xiaojia , Lu Guangli , Chen Chaoran 
Published: January 2024

Abstract
Background: The level of nurses’ job performance has always been of great concern, which not only represents the level of nursing service quality but is also closely related to patients’ treatment and prognosis. The aim of this study was to analyze the relationship between perceived organizational justice and job performance and to explore the mediating role of organizational climate and job embeddedness among young Chinese nurses.
Methods: A cross-sectional survey of 1136 young nurses was conducted between March and May 2023 using convenience sampling. Data were collected using the Job Performance Scale, Organizational Justice Assessment Scale, Nursing Organizational Climate Scale, and Job Embeddedness Scale, and the resulting data were analyzed using SPSS 25.0 and AMOS 26.0.
Results: There was a significant positive correlation between job performance and perceived organizational justice (r= 0.477, p < 0.01), organizational climate (r = 0.500, p< 0.01), and job embeddedness (r = 0.476, p < 0.01). Organizational climate and job embeddedness acted as chain mediators between perceived organizational justice and job performance. The total effect of perceived organizational justice on job performance (β = 0.518) consisted of a direct effect (β = 0.313) as well as an indirect effect (β= 0.205) mediated through organizational climate and job embeddedness, with the mediating effect accounting for 39.58% of the total effect.
Conclusions: Organizational climate and job embeddedness play a chain mediating role between perceived organizational justice and job performance, so hospital managers should pay attention to the level of perceived organizational justice among young nurses, and develop a series of targeted measures to improve their job performance using organizational climate and job embeddedness as entry points.
Application of Optical Sensing Image Resolution Based on Heterogeneous Clusters in Basketball Training Real time System
Authors: Pang Haolin , Zhang Donglan 
Published: January 2024

Abstract

Speech intelligibility refers to the percentage of inconsistent speech units that are spoken by one or more speakers and can be recognized by one or more listeners through the communication system. If the phonetic unit is a syllable, it is called syllable intelligibility. The intelligibility test is conducted by a specially trained team using special speech equipment. In order to solve the problem of the increased surface area required to increase the score on the computer circuit, this article accepts that different CPU + GPU heterogeneous cluster application communication programs are suitable for Computational simulation. Through the CPU + GPU configuration for different applications, multiple GPUs can be used to simplify the performance of simulation calculations, and the cluster can only allocate storage requirements to the simulation. Combine the status quo of basketball training with basic technology learning, and combine the important role of basketball training courses in improving students’ quality, and analyze the basic technology of the online basketball learning system from the perspective of information participants, including system participants and system Parameters, system operation and non-essential requirements and others. Obviously, system design has high potential in terms of technology, economy and operation. The real-time system pays attention to the nature and effectiveness of the learning material technology, and will leave the actual teaching and supervision of system terminology, and create a learning process and evaluation time for real-time and simulated comparison, so as to effectively develop students’ interest in learning the basics of basketball. Dispersing students' time can be used to learn technical topics, and to find a new foundation for further improving the learning of specific subjects.
MOF-Integrated Responsive Injectable Self-healing Hydrogel System for Bone Regeneration in Periodontitis
Authors: Luo Qipei , Yang Yuxin , Ho Chingchun , Li Zongtai , Chiu Weicheng , Li Anqi , Dai Yulin , Li Weichang , Zhang Xinchun 
Published: January 2024

Abstract

Periodontitis is a prevalent chronic inflammatory disease, which leads to gradual degradation of alveolar bone. The challenges persist in achieving effective alveolar bone repair due to the unique bacterial microenvironment's impact on immune responses. This study explores a novel approach utilizing Metal-Organic Frameworks (MOFs) (comprising magnesium and gallic acid) for promoting bone regeneration in periodontitis, which focuses on the physiological roles of magnesium ions in bone repair and gallic acid's antioxidant and immunomodulatory properties. However, the dynamic oral environment and irregular periodontal pockets pose challenges for sustained drug delivery. A smart responsive hydrogel system, integrating Carboxymethyl Chitosan (CMCS), Dextran (DEX) and 4-formylphenylboronic acid (4-FPBA) was designed to address this problem. The injectable self-healing hydrogel forms a dual-crosslinked network, incorporating the MOF and rendering its on-demand release sensitive to reactive oxygen species (ROS) levels and pH levels of periodontitis. We seek to analyze the hydrogel's synergistic effects with MOFs in antibacterial functions, immunomodulation and promotion of bone regeneration in periodontitis.In vivoandin vitroexperiment will validate the system's efficacy in inhibiting inflammation and fostering periodontal bone regeneration. This smart hydrogel system with MOFs, shows promise as a potential therapeutic avenue for addressing the challenges in bone regeneration in periodontitis.
Associations of per- and polyfluoroalkyl substances with risk for depressive disorder: mixtures approach
Authors: Wang Minzhen , Liu Jing , Zhang Lulu , He Yingqian , Zhao Yanan , Zheng Shan 
Published: January 2024

Abstract
Per-and polyfluoroalkyl substances (PFAS) are shown to have adverse health effects on brain function, but epidemiological evidence for associations between mixture PFAS exposure and depressive disorder risk is inconclusive. The objective of this study was to assess the association between co-exposure to PFAS concentrations and depressive disorder. The study included a subsample of 1948 individuals aged 20–80 in the National Health and Nutrition Examination Survey (NHANES) between 2013 and 2018. The weighted quantile sum regression (WQS), Quantile g-computation (QG-C), and Bayesian kernel machine regression (BKMR) were constructed to estimate the overall and individual effects of PFAS exposure on depressive disorder risk. A total of 3788 adult participants were enrolled from NHANES. The WQS model found that mixed exposure to per- and polyfluoroalkyl substances was significantly negatively associated with the risk of depressive disorder (WQSPFASβ=-0.25; 95%CI: -0.11, -0.39) after adjusting for various covariates The BKME results showed a significant reduction in the risk of depressive disorder with increasing total levels of the PFAS mixture, of which PFNA played the most important role. In qgcomp, a substantial negative correlation between PFAS and depressive disorder was identified (difference in risk for depression per quartile increase =-0.25; 95% CI: -0.13, -0.38). These findings suggested that PFAS mixture exposure in the US population may have a negative effect on the risk of depressive disorder.
Phage Therapy of Extensively Drug Resistant Acinetobacter baumannii Infections: Evaluating the Distribution of Phage in Human Body and the Impact on Gut Microbiome
Authors: Qu Jiayao , Zou Jin , Zhang Jiancong , Qu Jiuxin 
Published: January 2024

Abstract
Background Numerous studies have reported the successful cases of bacteriophage therapy in infections caused by multidrug-resistant Acinetobacter baumannii (MDRAB). However, the safety of phage therapy, as well as bacteriophage resistance, and the impact on human gut microbiome remains challenging. Methods The genomic DNA of phages and pathogen were detected by real-time PCR from 14 blood samples, 13 sputum samples and 10 fecal samples, respectively. The default value of negative result was set as 45 of Ct. The composition of gut microbiota was analyzed by Illumina-based 16S rRNA sequencing from fecal sample. Results Negative PCR results were observed for A. baumannii and the bacteriophage DNA in most blood samples. In the sputum samples, the CT values of phages showed a decreasing trend (45 to 14.7) and that of A. baumannii slowly increased (13.8 to 45) in the first phage therapy phase. During the second phase, the CT values of phage maintained at 28.5 to 26.8, and the CT values of the pathogen kept in a relatively lower level (13.2–18.1). In the fecal samples, we observed the significant decrease in the CT value of phage post two phases of bacteriophage treatment (35.5 to 22.5 and 32.6 to 22.7). Sequencing analysis demonstrated a largely changed microbiota profile both at the phyla and genus level during phage therapy. Conclusion Inhaled phages appears to be present in human blood, accumulate in the intestines and modify the community of gut microbiome.
Factors affecting management outcome of burn injury Among Hospitalized under Five Children at selected public hospital in Kefa zone, south west Ethiopia.
Authors: Alelign Zewditu , Assefa Ashenafi , Mekonnen Olantu 
Published: January 2024

Abstract

Back ground ;
A burn is an injury to the skin or other tissue primarily caused by heat or due to radiation, radioactivity, electricity, friction, or contact with chemicals. The treatment of burn demands many hours for wound care from nursing staff, possibly multiple surgical procedures, and costly hospital care so, this study was aimed to identify factors affecting management outcome of burn injury Among Hospitalized under Five Children at Selected Public Hospital Kefa zone, south west Ethiopia
Methods;
Hospital based retrospective study design was employed with the total of 238 participants, randomly selected medical card of under-five children admitted at selected public hospital in kefa zone reviewed for five years using checklists adapted from previous literatures. Binary and multiple logistic regressions were used to identify factors associated with management outcome of burn.
Result;
This study reported that more than half of respondents were females 55.9% and 64.7% of them were urban dwellers, management outcome of burn 65.1% of participants discharged without complications and only 1.2% of them were dead with burn after treatment, furthermore this finding also mentioned that age, residency, surface area of burn, pre hospital intervention and duration of presentation were significantly associated factors with management outcome of burn injury.
Conclusion;
This study concluded that majority of under five children who were admitted with burn injury were discharged without complications. In addition age, residencies, surface area, duration of presentation before admission, provision of Tetanus anti toxoid and pre hospital intervention were factors which affect management outcome of burn.
Direct anterior approach proximal femoral reconstruction total hip arthroplasty for adult Crowe type IV hip dysplasia
Authors: Li Wenwei , Liu Yang , Wei Ming , Yang Zhichao , Shen Xianyue , Chen Zhu , Huang Wei 
Published: January 2024

Abstract
Objective To evaluate the early clinical results of total hip arthroplasty (THA) with proximal femoral reconstruction via the direct anterior approach for Crowe IV developmental dysplasia of the hip (DDH).
Methods From January 2023 to May 2023, 20 patients with Crowe type IV developmental dysplasia of the hip underwent total hip arthroplasty with proximal femoral reconstruction via the direct anterior approach. The operation time, intraoperative blood loss volume and perioperative complications were recorded. The Harris hip score, VAS score, Berg score, Tinetti score, leg length discrepancy, femoral osteotomy block size, loosening and displacement of the prosthesis were evaluated before the operation and at the last follow-up visit.
Results The mean operation time was 143.7±28.8 min (range, 90-200 min). Four patients received blood transfusions. All incisions healed with Grade Ⅰ/A, and no surgical site infection or deep vein thrombosis occurred. At the last follow-up visit, the Harris hip score, Berg score and Tinetti score were significantly higher than those before the operation (P < 0.001), and the VAS pain score was significantly lower than that before the operation (P < 0.001). The difference between the pre and postoperative length of the lower limbs was within 1.5 cm, which was significant. There was no wire fracture, femoral osteotomy block, or loosening or displacement of the acetabular prosthesis during the follow-up exam.
ConclusionTotal hip arthroplasty with proximal femoral reconstruction via the direct anterior approach for Crowe IV developmental dysplasia of the hip not only reconstructs the abnormal anatomical structure of the proximal femur but also has a low perioperative complication rate and a satisfactory early clinical effect; thus, this approach is an effective method for treating Crowe IV developmental dysplasia of the hip.
On Block g-Circulant Matrices with Discrete Cosine and Sine Transforms for Transformer-Based Translation Machine
Authors: Asriani Euis , Muchtadi-Alamsyah Intan , Purwarianti Ayu 
Published: January 2024

Abstract
Transformer has emerged as one of the modern neural networks that applied in numerous applications. However, the large and deep architecture of transformers makes themselves both computation and memory-intensive. In this paper, we propose the block g-circulant matrices to replace the dense weight matrices in feed forward layers of the transformer and leverage the DCT-DST algorithm to multiply these matrices with the input vector. Our experiment on Portuguese-English datasets show that the proposed approach achieves a significant gain in model memory efficiency compared to dense transformer, with a slight accuracy degradation. We found that the highest model memory efficiency is achieved by the model Dense-block 1-circulant DCT-DST of 128 dimension at 22,14%. We further show that the same model achieved a BLEU score of 26.47%.
Anomaly Detection in Structural Health Monitoring using Spectral Distance and t-SNE- GMM Framework under Ambient Excitation
Authors: Laha S. K. , Swarnakar B. , Kansabanik S. 
Published: January 2024

Abstract

Structural damage detection is crucial for ensuring the safety and reliability of civil infrastructure. In this paper, we propose a novel vibration-based structural damage detection framework using Spectral Distance and a combination of t-Distributed Stochastic Neighbor Embedding (t-SNE) and Gaussian Mixture Model (GMM). By integrating these three procedures, a unique, comprehensive and highly effective approach for detecting structural damage is achieved. First, we extract spectral distance-based features from structural response data under ambient excitations, which provide information about the deviation of the spectral content of the signal from the undamaged structural response. Then, we apply t-SNE to embed the dimensional data into lower dimensional feature space and visualize the data in a low-dimensional space. Finally, we use GMM-based clustering to classify the data into normal and anomalous classes. To evaluate the proposed approach, the experimental data from the Phase II benchmark structural health monitoring problem introduced by the IASC-ASCE Structural Health Monitoring Task Group, is utilized. The results show that our method can effectively detect structural damage anomalies. Moreover, the proposed framework is computationally efficient, making it suitable for real-time structural health monitoring applications. This paper presents novel structural damage indicators (SDI) based on power spectral density deviations between damaged and undamaged structural responses. The study compares the performance of proposed spectral-distance measures and emphasizes the significance of spectral Kullback-Leibler distance as an indicator of structural deterioration. Additionally, the effectiveness of t-SNE-GMM is demonstrated in efficiently segregating damage configurations.
Study on anti-stab resistance of aramid fabrics treated by sol-gel technology
Authors: Chu Yanyan , Zhang Zhiguo , Zhao Xian , Zhu Baokun , Chen Hong , Xie Zhengquan , Huang Weihan , Chen Xiaogang 
Published: January 2024

Abstract

High-quality anti-stabbing soft materials have attracted much attention. The soft aramid fabrics treated with zinc oxide sol-gel was studied for anti-stab application. Four hydrosol was made by controlling the concentration (0.15 mol/L and 3 mol/L) and aging time (0 h and 24 h). SEM analyses shows that the fabric with 3mol/L + 24h sol is much more covered with ZnO particles. The mechanical properties test includes yarn tensile properties, inter-yarn friction, fabric tensile properties and burst properties were also carried out. The tensile properties of yarns are less affected. The tensile strength are increased by 50–90% but the elongation is decreased by 30–50%. Both the inter-yarn friction and the burst properties of the fabric with 3mol/L + 24h sol are the best. Based on the mechanical properties test, the stab-resistance of the fabric 3mol/L + 24h sol is conducted according to the test standard of GA68-2019. Compared with the original fabric, the maximum penetration depth and the average one are reduced by 26.9% and 33.26%, respectively.
DMDP: A Dynamic Multi-Delta Prefetcher with Customizable Runtime Quality-Aware Feedback
Authors: Wang Wuzhe , Li Hao , Zhang Peiyong 
Published: January 2024

Abstract

Spatial data prefetchers exploit similarities in access patterns across memory regions to generate prefetch requests. Within these, delta-based approaches record in-order delta histories between adjacent accesses and predict a delta, and then build new patterns from the predicted delta for subsequent prediction rounds in a recursive manner. This process is known as lookahead. However, we show that existing lookahead mechanisms fail to either recognize both simple and complex delta patterns or look ahead deeper, leading to substantial missed opportunities for prefetching. Moreover, when dealing with various programs with distinct features and complexity of access patterns, they lack a comprehensive feedback mechanism that is aware of the quality of prefetching to dynamically maintain an optimal prefetching strategy.
To address these issues, we propose Dynamic Multi-Delta Prefetcher (DMDP), which employs delta patterns of varying lengths to collaboratively build the lookahead process for prefetching, covering much more potential cache misses. To keep high quality of prefetching simultaneously, DMDP integrates a customizable feedback framework to dynamically adjust the lookahead depth, incorporating prefetch accuracy, timeliness, and prefetch-caused cache pollution (PCCP) with different coefficients in the evaluation of prefetch quality. Results on extensive benchmark sets show that DMDP outperforms two state-of-the-art prefetchers, Bingo and PPF, by 16.0% and 2.4%, respectively, requiring 15× and 5× less storage overhead. Moreover, by customizing feedback coefficients for programs with distinct characteristics, DMDP achieves an additional performance improvement of up to 6.2%. The area and power analysis based on the register-transfer-level implementation and TSMC 5nm process also demonstrates DMDP can easily fit into modern processor designs, incurring only 0.35% area and less than 0.1% power overhead over a high-performance CPU class.