bluuebunny/crossref_metadata_2025_split huggingface dataset:
Superoxide dismutase and catalase activity in the blood and liver of rats of different age groups with experimental type 2 diabetes mellitus and skeletal muscle injury
Authors: Pavlova O. N. , Tulaeva O. N. , Gulenko O. N. , Gromova D. S. , Maslyakov V. V. 
Published: January 2024

According to 2022 statistics from the Federal State Budgetary Institution National Medical Research Center for Endocrinology, the incidence of type 2 diabetes mellitus in Russia is 92.4% (4.49 million) of patients, and every tenth inhabitant of the Earth already suffers from diabetes mellitus.Purpose of the study: to analyze the dynamics of superoxide dismutase and catalase activity at the systemic and local levels in rats of different ages when modeling type 2 diabetes followed by mechanical injury to skeletal muscle.Object and methods. The study was conducted on white outbred healthy male rats 24 months old (120 individuals) and 6 months old (120 individuals). All old and young animals were divided into four subgroups within their group, 30 animals in each. Animals of the first subgroup in groups of old and young rats are intact rats. Animals of the second subgroup of the group in each group had a mechanical dissection in the area of the middle third of the gastrocnemius muscle of the hind limb. Animals of the third and fourth subgroups of each group were subjected to modeling type 2 diabetes mellitus.After the specified time, the animals of the fourth subgroup of both groups were injured in the middle third of the gastrocnemius muscle of the hind limb.Conclusions. Mechanical injury to the gastrocnemius muscle in combination with type 2 diabetes mellitus is characterized by an intensification of lipid peroxidation and leads to an increase in superoxide dismutase activity in the liver tissue and blood serum of rats, and in young animals the increase in superoxide dismutase activity is more intense than in old ones.
Perirectal Abscess with Upward Extension to the Extraperitoneum and Space of Retzius: A Case Report
Authors: Teng Hsiang , Wu Po-Hsien 
Published: January 2024

A perirectal abscess, while typically considered benign, has the potential to invade extraperitoneal spaces, including the space of Retzius, resulting in complications with severe systemic illness. It is postulated that there is communication within adipose tissue between the pararectal spaces and the vesical extraperitoneal space anteriorly, secondary to the termination of the umbilical-vesical fascia at the reflection of the vesical peritoneum. While occurrences of perirectal abscess ex-tending to the extraperitoneal space are infrequent, a thorough understanding of the anatomical structure, physiology, and the subsequent therapeutic approach remains crucial. For assessment, a computed tomography scan with intravenous contrast is preferred for evaluation, given the probable insidious and nonspecific nature of the clinical presentation, physical exam signs, and even laboratory studies. Primary therapeutic modalities involve immediate resuscitation, intra-venous administration of broad-spectrum antibiotics, and percutaneous drainage. Surgical in-tervention may become necessary in cases where there is no prompt improvement in septic progression. Additionally, the underlying comorbidities and baseline illness could be indicative of unfavorable outcomes. If fever or sepsis is not efficiently controlled, a more comprehensive workup or intervention should be contemplated, considering the associated higher risks of complications and mortality rates.
In this study, we presented the case of a 68-year-old male with diffuse pain located in the lower abdomen. Fortunately, an immediate computed tomography scan played a pivotal role in iden-tifying a perirectal abscess with upward extension to the space of Retzius, which was subse-quently treated appropriately. Above all, this rare case presentation underscores the anatomic complexity within pelvic compartments and emphasizes the importance of maintaining high-index suspicions and analyzing overall differential diagnosis.
Geomorphological Sites of Tourist Value in the Dreikesh:Syria A study on the concept of Geomorphosite
Authors: Ahmad Enas , Jarjour Sameer , Salhab Heba 
Published: January 2024

Abstract
Abstract The current study addressed the geomorphological sites of touristic value through assessment of the most important geomorphological sites in the Dreikesh region for geotourism purposes, where the results of the assessment can be used as a basis for the appropriate utilization of these natural resources for sustainable tourism development. The study aims to identify the most important geomorphological touristic sites in Dreikesh and explain their formation factors and characteristics using GIS, in addition, it analyzes the relationship between geomorphology and tourism by estimating the potential for each site according to several criteria, the results indicated the diversity of geomorphological features in the study area, including mountains, river valleys, caves, and volcanic necks, where the geomorphosite formed 24 sites, most of which met the criteria for natural tourism by 62% of the overall assessment results for the sites.
A novel approach to prevent social isolation in people with severe disability
Authors: Dias João Canossa , Mineiro Ana , Damen Saskia 
Published: January 2024

Abstract

While intervening in the field of communication, practitioners follow diverse theoretical approaches and models. The different conceptual orientations influence the way professionals embrace the subject of communication and its disorders. The present research focused on the development of a new model to understand communication between persons with Complex Communication Needs and their caregivers. A second aim was to create an intervention program based on the new model. The Complex of Continuous Communication model, based on an extensive literature review, served as foundation for the new intervention entitled Program 3C. This program consists of consultations with caregivers of persons with disability, using video analysis and a dialogical approach to support communication. The model and intervention were validated through an international online Delphi panel including 17 experts. From the two rounds of the panel, the 25 indications subject to validation were rated as appropriate with low values of disagreement, following the Appropriateness Method. Qualitative feedback was used to improve the model and intervention program. Quality assurance measures were taken to ensure transparency of the results. The next phase of research consists of implementing the Program 3C in a pilot study with clinicians that support persons with disability at risk of social isolation.
AI-Driven Optimization of Helmet Material Design: Mitigating Traumatic Axonal Injuries through Innovative Constitutive Law Enhancement
Authors: Pioletti Dominique , Varanges Vincent , Eghbali Pezhman , Nasrollahzadeh Naser , Fournier Jean-Yves , Bourban Pierre-Etienne 
Published: January 2024

Abstract

Sports helmets do not provide full protection against brain injuries. Our study aims to improve helmet liner efficiency by employing a novel approach that optimizes their properties. By exploiting a finite element model that simulates impacts, we developed deep learning models that predict the peak kinematics of a dummy head protected by various liner materials. The models exhibited a remarkable correlation coefficient of 0.99 within the training dataset, highlighting their predictive ability. Deep learning-based material optimization predicts a significant reduction in the risk of traumatic axonal injuries for impact energy ranging from 250 to 450 Joules. This result emphasizes the effectiveness of a sophisticated material design to mitigate sport-related brain injury risks. This research introduces promising avenues for optimizing helmet designs to enhance their protective capabilities.
A Novel Approach for Depression Detection through Extracted Skeletal Data during Scale Assessment
Authors: Zhang Kaihong , Wan Yumei , Ning Chuanbin , Fan Yunli , Wang Huajie , Xing Libo , Li Wentao , Tian Qi , Zheng Yunshao 
Published: January 2024

Abstract

Background: Depression was a widespread and high-risk mental disorder that could significantly affectthoughts, emotions, and behaviors. While recent studies explored techniques for detecting depression throughbody posture, depression detection researches utilizing skeletal data recorded by Kinect of scale assessmentwere still ongoing. Our goal was to establish a novel approach for depression detection that utilizes the skeletaldata during scale assessment.
Methods: Participants, which included a depression group and a control group, were assessed using theHamilton Rating Scale for Depression (HAMD-24), and we utilized Kinect V2 to capture human skeletal data.To extract the skeletal data and reduce noise, we developed program that has been open-sourced forprocessing Kinect recorded files. With skeletal data extraction, feature analysis, and data preprocessing, thethree human skeleton datasets were created using the hip joint as the splitting point, as follows: whole bodyskeleton joints dataset, upper body skeleton joints dataset, and lower body skeleton joints dataset. To enhancethe classification capacity of temporal and spatial features within skeletal data, we designed Temporal SpatialAttention (Dep-TSA) for depression detection.
Results: According to the scale’s criteria, a total of 202 participants were included, with 89 depression patientsas the depression group, and 113 social recruited healthy individuals were constituted the control group. Theproposed Dep-TSA model shown outstanding results compared to other models, achieving an accuracy of72.13%, a specificity of 76.47% and a sensitivity of 66.67% on whole body skeleton joints dataset. It alsoattained accuracy of 67.32% on upper body skeleton joints dataset, and accuracy of 62.30% on lower bodyskeleton joints dataset.
Conclusions: The proposed Dep-TSA module, proven effective for extracting raw spatial-temporal featuresand low-level features of body skeleton joints, achieved satisfactory classification accuracy across these threehandcrafted datasets. These findings suggested that using Kinect-recorded skeletal data during the HAMDassessment process could be an effective tool for depression analysis. In future research, our aim was to extendthis study to investigate the detection of the severity of depression and to combine it with more modalities formore eﬀicient recognition.
Proteomic Profiling of Gliomas Unveils Immune and Metabolism-Driven Subtypes with Implications for Anti-Nucleotide Metabolism Therapy
Authors: Hua Wei , Zhang Jinsen , Sun Rui , Guo Tiannan , Lyu Yingying , Liu Chaxian , Liu Ying , Du Zun-Guo , Feng Yuan , Fu Minjie , Wong Peter Jih Cheng , Qiu Tianming , zhang yi , Zhuang Dongxiao , Qin Zhiyong , Yao Yu , Zhu Wei , Yang Hui , Mao Ying 
Published: January 2024

Abstract

Gliomas exhibit high heterogeneity and poor prognosis. Despite substantial progress has been made in glioma at the genomic and transcriptomic levels, comprehensive proteomic characterizations and their implications remain largely unexplored. Here, we performed proteogenomic characterization of gliomas using 343 FFPE tumor samples and 53 normal-appearing brain samples from 188 patients, which was integrated with genomic panel data and clinical information. Proteomics profiles uncovered two subgroups: Subgroup 1, termed the “metabolism subgroup” (S-Me), characterized by an enrichment of metabolism-related proteins; and Subgroup 2, named the “immune subgroup” (S-Im), showing an upregulation of immune and inflammatory proteins. These proteomic subgroups exhibited significant differences in prognosis, tumorigenesis, microenvironment dysregulation and potential therapeutics, emphasizing the critical roles of metabolism and immune processes in glioma biology and patient outcomes. By delving into metabolic pathways guided by our proteomic findings, DPYD and TYMP were further identified as potential prognostic biomarkers associated with nucleotide metabolic reprogramming. Functional validation using GSCs and animal models highlighted nucleotide metabolism as a promising therapy against gliomas. The integrated multi-omics analysis introduces a novel proteomic classification for gliomas, and also identified two new metabolic biomarkers, DPYD and TYMP, which offer insights into the molecular pathogenesis and identify treatment opportunities.
What impact local failure after post-operative radiotherapy of resected brain metastases in breast cancer patients
Authors: Haisraely Ory , Symon Zvi , Kaisman-elbaz Thila , Whol Anton , Cohen Zvi , Taliansky Alica , Lawerence Yaacov 
Published: January 2024

Abstract
Background
Single brain metastasis surgical resection remains an effective treatment for brain metastases. However, surgery alone associate with a high rate of local failure. The current guidelines recommend radiation to surgical cavity. The recommended dose for brain cavity after surgery remain to be define as most guidelines gives a very general suggestion about the dose and fractionation. The aim of this study was to determine what variable influence local control in this specific population.
Methods
Retrospective analysis of 62 patients with breast cancer who undergo surgical resection to single brain metastases and who received post-operative radiotherapy between the years 2011–2022. All clinical and dosimetric variables were analyzed to evaluate their impact on local control.
Results
One year local control was 70.9%. HER-2 disease, size of initial tumor, time from initial surgery, total dose deliver, inclusion of corridor and type of lesion were all significant for local control. Patients with HER-2 positive disease had higher local control rate without any difference in other variables.
Conclusion
Brain metastases from breast cancer remain a life-threating condition. Surgery plays a critical role in the treatment of large symptomatic brain metastases for which Post-operative radiotherapy is essential. Choosing a regime with a dose of more then 40Gy (BED) seems important for achieving local control and without increase toxicity. Different biology and systemic therapy options can differentiate Breast cancer population after brain surgery for metastatic disease. A larger prospective trial is needed to addressed the question whether lower dosage can be use in HER-2 positive disease.
Haemophilus aphrophilus and Eikenella corrodens co-infection of brain : a unusual case from china
Authors: Liu Yang , Lai LanMin , Zhu Xinyu , Zhao Rui , Yuan Lei , Chen Qiang 
Published: January 2024

Abstract
Background: Haemophilus aphrophilus and Eikenella corrodens are both members of the HACEK group (Haemophilus spp., Aggregatibacter spp., Cardiobacterium hominis, Eikenella corrodens, and Kingella spp.) , are gram-negative acinetobacter that slow-growing and fastidious, these organisms are common causes of culture-negative endocarditis. however, brain abscesses caused by Haemophilus aphrophilus and Eikenella corrodens have been rarely reported.
Case presentation: Herein, we report a case of brain abscess in a young male caused by Haemophilus aphrophilus and Eikenella corrodens. The patient was admitted to the hospital with sudden onset of vomiting, coma and fever. Magnetic Resonance Imaging(MRI) of the brain and cerebrospinal fluid (CSF) cell counts were suggestive of cerebral abscess, and the patient underwent drainage of the abscess and empirical antimicrobial therapy for more than 10 days without significant improvement. Metagenomicnext-generation sequencing(mNGS) and Matrix-assisted laser desorption ionization-time of flight mass spectrometry(MALDI-TOF MS) of the drainage fluid suggested the presence of Haemophilus aphrophilus and Eikenella corrodens DNA sequences, which was supported by subsequent positive microbiological cultures. After 7 weeks antibiotic treatment of ceftriaxone in combination with meropenem intravenously, the patient was discharged with a normal temperature and the Computerized tomography(CT) of the brain showing improvement of the lesion.
Conclusions: Related cases described in the previous literature are always associated with bacterial blood dissemination after dental surgery or myocarditis, what makes this case special is that the patient did not have any associated risk factors, and to the best of our knowledge, this is the first case of the central nervous system with Haemophilus aphrophilus and Eikenella corrodens co-infection that combined mNGS and MALDI-TOF in the diagnosis.
The effect of community structure on fixation process in evolutionary graph theory
Authors: Mohamadichamgavi Javad , Zahedian Mohamadreza 
Published: January 2024

Abstract

Evolutionary graph theory investigates how population structure shapes evolutionary dynamics. In this paper, we examine how community structure impacts mutant fixation probability and time under the Moran Birth-death process with constant fitness. Specifically, we model the population as two fully connected subpopulations (communities) linked by a few links. Using an analytical Markov-chain approach supplemented by Monte Carlo simulations, we explore how the size of the starting community where the initial mutant arises influences its eventual fixation outcomes. We demonstrate that initiating the process in a smaller community boosts fixation probability and acts as an amplifier of selection compared to a larger community or a well-mixed population. A critical relative size threshold exists for the starting community, below which it functions as a selection amplifier. The unconditional fixation time displays different patterns depending on the starting community size and fitness value. For small communities, increased fitness reduces time, whereas, for larger communities, greater fitness prolongs time. Additionally, conditional fixation time grows with increased starting community size until a critical size and then decreases. This critical size is different depending on fitness value. In general, a combination of fitness level and starting community size serves to maximize the conditional fixation time.
Peripheral blood miRNA expression in patients with essential hypertension in the Han Chinese population in Hefei, China
Authors: Cheng Bin , Yang Ronglu , Xu Hui , Wang Li , Jiang Nan , Song Tingting , Dong Changwu 
Published: January 2024

Abstract

Background. Primary hypertension is a significant risk factor for cardiovascular diseases. However, the pathogenesis of primary hypertension involves multiple biological processes, including the nervous system, circulatory system, endocrine system, and more. Despite extensive research, there is no clear understanding of the regulatory mechanism underlying its pathogenesis. In recent years, miRNAs have gained attention as a regulatory factor capable of modulating the expression of related molecules through gene silencing. Therefore, exploring differentially expressed miRNAs in patients with essential hypertension (EH) may offer a novel approach for future diagnosis and treatment of EH. Methodology. This study included a total of twenty Han Chinese population samples from Hefei, China. The samples consisted of 10 healthy individuals and 10 patients with essential hypertension (EH). Statistical analysis was conducted to analyze the general information of the two sample groups. High-throughput sequencing and base identification were performed to obtain the original sequencing sequences. These sequences were then annotated using various databases including Rfam, cDNA sequences, species repetitive sequences library, and miRBase database. The number of miRNA species contained in the samples was measured. Next, TPM values were calculated to determine the expression level of each miRNA. The bioinformatics of the differentiated miRNAs were analyzed using the OECloud tool, and RPM values were calculated. Furthermore, the reliability of the expression was analyzed by calculating the area under the Roc curve using the OECloud tools. Results. Statistical analysis revealed no significant differences between the two samples in terms of age distribution, gender composition, smoking history, and alcohol consumption history (P > 0.05). However, there was a notable presence of family genetic history and high BMI in the EH population (P < 0.05). The sequencing results identified a total of 245 miRNAs, out of which 16 miRNAs exhibited differential expression. Among the highly expressed miRNAs were let-7d-5p, miR-101-3p, miR-122-5p, miR-122b-3p, miR-192-5p, and miR-6722-3p. On the other hand, the lowly expressed miRNAs included miR-103a-3p, miR-16-5p, miR-181a-2-3p, miR-200a-3p, miR-200b-3p, miR-200c-3p, miR-221-3p, miR-30d-5p, miR-342-5p, and miR-543. Conclusion. This study initially identified 16 miRNAs that are aberrantly expressed and function in various processes associated with the onset and progression of essential hypertension. These miRNAs have the potential to be targeted for future diagnosis and treatment of EH. However, further samples are required to provide additional support for this study.
Telomere Length Exhibits Inverse Association with Migraine Among Americans Aged 20-50 Years, without Implications Beyond Age 50: A Cross- Sectional Study
Authors: Geng Dandan , Liu Huanxian , Wang Haoyuan , Wang Hebo 
Published: January 2024

Abstract

Migraine, highly prevalent among individuals under 50 years, is associated with oxidative stress. Telomere length shortening, closely linked to oxidative stress and aging, has not been comprehensively studied in its association with migraine and potential age-related influence. This cross-sectional study included data from 6,169 participants in the National Health and Nutrition Survey (NHANES) from 1999 to 2002. This encompassed information on peripheral blood leukocyte telomere length, severe headache or migraine, and potential confounders. Stratifying by age (20–50 years, > 50 years), we employed multivariable logistic regression and restricted cubic splines to investigate the relationship between telomere length and migraine. Further interaction test revealed age-influenced telomere length in relation to migraine. In participants aged 20–50 years, the odds ratio (OR) for migraine in the shortest telomere length group T1 (0.39–0.89) was 1.35 (95% confidence interval [95% CI]: 1.01, 1.79) compared to the longest group T3 (1.10–9.42), whereas in those aged > 50 years, the OR for the T1 group was 0.93 (95% CI: 0.60, 1.43). Additionally, telomere length and age interacted in the development of migraine (p for interaction: 0.010). Further analysis showed an L-shaped relationship between telomere length and migraine incidence in people aged 20–50 years, with an OR of 9.34 (95% CI: 1.56, 55.99) for migraine at telomere length < 1.02 T/S ratio. These findings revealed that age may influence the association between telomere length and migraine in U.S. adults. For Americans aged 20–50, telomere length demonstrated an L-shaped association with migraine, with an approximate inflection point at 1.02 T/S ratio.