bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pulmonary embolism in a young patient with nephrotic syndrome: a case report.
Authors: Dulcetti A , Bruscia C , Malena D M. , Murante G , Angelino A , March M Rocchietti , Mariani B , Alfei B , Martocchia A , Sesti G 
Published: September 2024

Abstract

Introduction
Nephrotic syndrome (NS) is characterized by the presence of proteinuria of ≥ 3 g/24 h, hypoalbuminemia < 2.5 g/dl, peripheral edema, and severe hyperlipidaemia. NS is associated with increased risk of deep venous thrombosis (DVT), and, consequently, pulmonary embolism (PE) .
Case presentation
We report a case of a severe PE in a young patient with NS, admitted to the Emergency Medicine Department of the University Hospital Sant’Andrea of Rome.
Conclusions
The aim of this report is to allow a more comprehensive knowledge of the SN and its related EP highlighting both the risk of underdiagnosis and the need of a multidisciplinary approach by a team of different specialists. We also reviewed pathophysiology of hypercoagulability in NS characterized by the imbalance of prothrombotic and antithrombotic factors, and by impaired thrombolytic activities. A more complete knowledge of the clinical and laboratory features of NS and its related PE appears to be crucial for the early diagnosis and treatment.
Bacteriological Profile of Lower Respiratory Tract Infections and Antibiotic Susceptibility Pattern in Patients Visiting a Tertiary Care Hospital in Kathmandu
Authors: Gaire Manoj , Pangeni Bishnu , Dahal Sushant , Adhikari Anima , Timilsena Dip Kumar , Kandel Nabin , Koirala Sudhir 
Published: September 2024

Abstract

Background
Lower respiratory tract infections are among the major causes of morbidity and mortality in the world. This study aims to analyze the bacteriological profile of lower respiratory tract infections in the patients visiting Shukraraj Tropical and Infectious Disease Hospital in Kathmandu during three-month period from April to June 2023 and the antibiotic susceptibility pattern of the isolated pathogens.
Method
312 sputum samples were examined through Gram staining, microscopy, culture and various biochemical tests and significant bacterial isolates were identified. Antibiotic susceptibility testing was done by modified Kirby-Bauer disc diffusion method using different sets of antibiotics for different bacteria and Multi-drug Resistant (MDR) isolates were identified. The Methicillin Resistant S. aureus (MRSA) isolates were determined via antibiotic susceptibility testing against 30µg-Cefoxitin disc in Mueller Hinton Agar.
Results
34 out of the total 312 sputum samples examined showed significant growth. Gram-negative bacilli (85.29%) had a significant proportion compared to Gram-positive (14.71%). The most prevalent bacteria causing LRTI was found to be Klebsiella pneumoniae (32.35%) followed by Pseudomonas aeruginosa(29.41%), Acinetobacter spp.(17.65%), Staphylococcus aureus(14.71%), Enterobacter spp.(2.94%), and Citrobacter spp.(2.94%). Gentamicin exhibited the highest sensitivity rate of 75.86% in case of Gram-negative isolates and it showed highest resistance to Amoxicillin (86.21%). For Staphylococcus aureus, Linezolid, Vancomycin and Teicoplanin showed highest susceptibility rate of 100% followed by Gentamicin (60%). 20.70% of Gram-negative isolates were Multi-drug Resistant among which the predominant one was found to be Acinetobacter spp. (83.33%) followed by Klebsiella pneumoniae(16.67%). For S. aureus, all the isolates (100%) were found to be multi-drug resistant. 80% of S. aureus isolates were found to be Methicillin Resistant Staphylococcus aureus.
Conclusion
Gram-negative bacteria were found to be leading causative agents (85.29%) of lower respiratory tract infections. Antibiotics like Ciprofloxacin and Gentamicin were found to be effective against majority of Gram-negative bacteria. Similarly, Linezolid, Vancomycin and Teicoplanin were useful against Methicillin resistant S. aureus. The study recommends a periodic analysis on bacteriological agents of such infections and their antibiotic susceptibility pattern in order to assess the increasing anti-microbial resistance in pathogens and adjust the empirical therapy accordingly.
Efficient fMRI and Textual Alignment for ImageReconstruction from Human Brain Activity
Authors: Pham Bich-Nga , Vu Trong-Tai Dam , Vu Anh-Khoa Nguyen , Nguyen Vinh-Tiep 
Published: September 2024

Abstract

In neural decoding research, reconstructing natural images from fMRI signalsposes a captivating yet challenging problem. Conventional approaches use basiclinear mapping functions to project fMRI signals into a prior latent space (e.g.,image and text embeddings) and subsequently utilize a pre-trained image gener-ation model to create images conditioned on the embedding. While effective atcapturing low-level features like layout, texture, and shape, these methods oftenfail to capture high-level features such as object categories, spatial positions, andthe number of objects. These failures are often due to the insufficient seman-tic information carried by the text embeddings. To address these challenges, wefocus on improving text conditioning for image generation and enhancing the in-formativeness of the text embeddings used in the process. We propose the MDIRframework, which employs a unified and deep neural network called MindMap-per to align fMRI signals with text embeddings more effectively. Our approachenhances the consistency between reconstructed images and the semantic infor-mation in text captions, including object categories and their relationships. Thismethod achieves superior semantic fidelity, producing images closely resemblingthe ground truth in fine-grained detail.
WITHDRAWN: Implementation of UPFC and Renewable Energy Resources using Chaotic African Vulture Optimization Algorithm to Study the sustainablity of power system under Economical and Environmental Aspect
Authors: Mondal Basudeb , Biswas Soumen , Bhattacharya Anagha , Dutta Susanta , Chatterjee Rajesh Kumar , Akhtar Md Amir Khusru , Kumar Mohit , Chatterjee Mukesh Kumar , Verma Sahil , Khurma Ruba Abu , Mallik Saurav , Shah Mohd Asif 
Published: September 2024

Abstract

The optimal power flow (OPF) problem is of paramount interest and challenge for researchers in Electrical power systems. The problem becomes more challenging when Renewable Energy Sources (RES) like solar wind, etc. are integrated with the traditional interconnected network The main goal of this paper is the cost reduction of a hybrid system comprising both conventional and RES with the integration of Flexible AC transmission Systems (FACTs), considering system limitations in emission loss, in transmission line, to cater voltage fluctuations such that the overall system stability is improved. The classic problem of OPF itself is extremely complex and nonlin-ear, coupled with convex, intermittent constraints. The issue’s complexity increases when the unpredictable behaviour of solar and wind energy is considered. Using solar and wind power in traditional thermal power generations in the particular test system, this research suggests an analysis of the OPF problem by using a metaheuristic optimization technique Chaotic African Vulture Optimization Algorithm (CAVOA.) The suggested method was tested using a modified IEEE 30-bus system and executed using MATLAB in sixteen cases via multi-objective functions. The proposed problem is mitigated by computational intelligence tools to solve OPF problems like tuning grid voltages, transformer tap setting, allocation and sizing of FACTs devices, capacitor bank rating, etc. Compared to the outcomes of the (insert full form) FDBAGDE methods and those found in the literature, the simulation outcomes obtained through the suggested approach successfully identified the best solution. Additionally, the suggested algorithm’s superiority is assessed using a statistical method known as the one-way analysis of variance (ANOVA) test.
The Relationship between Intimate Partner Violence and Parenting Styles with Mediated Attachment Styles in Iranian Women
Authors: sadeghmohammadi Fatemeh , Spencer Chelsea 
Published: September 2024

Abstract

Purpose
The primary aim of this study was to investigate the role of attachment styles as intermediaries in the relationship between intimate partner violence (IPV) and parenting styles among Iranian women.
Methods
Data for this study was collected between September and December 2020. The participants consisted of 102 women who had been referred to Social Emergency Centers in Isfahan due to their experiences with domestic violence. Participants filled out the Haj-Yahia Violence Questionnaire, Baumrind Parenting Styles Questionnaire (BPSQ), and the Attachment Styles Questionnaire (AAQ). To examine the hypothesized relationships, Structural Equation Modeling (SEM) was used.
Results
Economic IPV victimization was negatively related to secure attachment (β = -0.309, p = 0.019) and positively related with authoritative parenting (β = 0.422, p = 0.019) and avoidant attachment style (β = 0.563, p = 0.000). There was a significant, positive relationship between sexual IPV victimization with secure and avoidant attachment styles (β = 0.351, p = 0.011; β = 0.407, p = 0.000). Authoritative parenting style was related to avoidant attachment (β = -0.524, p = 0.015) and secure attachment (β = 0.371, p = 0.000).
Conclusions
Iranian IPV victims with secure attachment style were more likely to utilize authoritative parenting and those who have avoidant attachment were less likely to use authoritative parenting. Attachment styles may influence the relationship between IPV and parenting styles in Iranian women who have experienced IPV.
An electro-mechanical co-optimization platform for MEMS devices with freeform geometry based on a genetic algorithm
Authors: Wang Chen , Wu Xinyu , Sadeghpour Sina , Shojaeian Milad , Wang Linlin , Quan Aojie , Guan Yangyang , LIU Huafeng , Wang Yuan , Zhang Pan , Martins Rui P. , Mak Pui-In 
Published: September 2024

Abstract

This paper describes a novel, system-level design methodology based on a genetic algorithm (GA) using freeform geometries for microelectromechanical systems (MEMS) devices. The proposed method can concurrently design and co-optimize the electronic and mechanical part of a MEMS device comprising freeform geometries to achieve a better system performance, i.e., higher sensitivity, better system stability and larger fabrication tolerances. Also, the introduction of freeform geometries allows higher degrees of freedom in the design process, improving the diversity and potentially the performance of the MEMS devices. A MEMS accelerometer comprising a freeform mechanical motion preamplifier in a closed-loop control system is presented to demonstrate the effectiveness of the design approach. The optimization process shows the main figure-of-merit (FOM) is improved by 482%. For the mechanical part, there is an improvement of the product of sensitivity and bandwidth by 151 %, and by 276 % for sensitivity. For closed-loop performance, there is an improvement of 120% for the ratio of open and closed-loop displacements. Excellent immunities to fabrication errors and parameter mismatch are achieved. Experiments show that the displacement of the MEMS accelerometer in the closed-loop system is decreased by 86 % with 4.85 V feedback voltage compared with that in the open-loop system under a 1g 100 Hz acceleration input. The static and dynamic nonlinearity in the closed-loop system is improved by 64 % and 61 %, respectively, compared with those in the open-loop, in the ±1 g acceleration input range. Besides, the closed-loop system improves the cross-axis sensitivity by 18.43%, compared with that in the open-loop. It is the first time, a closed-loop system for a MEMS accelerometer comprising a mechanical motion preamplifier is successfully implemented experimentally.
Deep learning to estimate response of concurrent chemoradiotherapy in non-small-cell lung carcinoma
Authors: Peng Jie , Zhang Xudong , Hu Yong , He Tianchu , Huang Jun , Zhao Mingdan , Meng Jimei 
Published: September 2024

Abstract

Background
Concurrent chemoradiotherapy (CCRT) is a crucial treatment for non-small cell lung carcinoma (NSCLC). However, the use of deep learning (DL) models for predicting the response to CCRT in NSCLC remains unexplored. Therefore, we constructed a DL model for estimating the response to CCRT in NSCLC and explored the associated biological signaling pathways.
Methods
Overall, 229 patients with NSCLC were recruited from six hospitals. Based on contrast-enhanced computed tomography (CT) images, a three-dimensional ResNet50 algorithm was used to develop a model and validate the performance in predicting response and prognosis. An associated analysis was conducted on CT image visualization, RNA sequencing, and single-cell sequencing.
Results
The DL model exhibited favorable predictive performance, with an area under the curve of 0·86 (95% confidence interval [CI]: 0·79–0·92) in the training cohort and 0·84 (95% CI: 0·75–0·94) in the validation cohort. The DL model (low score vs. high score) was an independent predictive factor; it was significantly associated with progression-free survival and overall survival in both the training (hazard ratio [HR] = 0·54 [0·36−0·80], P = 0·002; 0·44 [0·28−0·68], P < 0·001) and validation cohorts (HR = 0·46 [0·24−0·88], P = 0·008; 0·30 [0·14−0·60], P < 0·001). Also, it was positively related to the pathways involved in cell adhesion molecules, the P53 signaling pathway, and natural killer cell-mediated cytotoxicity. Single-cell analysis revealed that differentially expressed genes were enriched in different immune cells.
Conclusion
The DL model demonstrated a strong predictive ability for determining the response in patients with NSCLC undergoing CCRT; our findings contribute to understanding the potential biological mechanisms.
FGF19 is a biomarker associated with prognosis and immunity in colorectal cancer
Authors: Wang Peng , Zhu Zhenpeng , Hou Chenyang , Xu Dandan , Guo Fei , Zhi Xuejun , Liang Weizheng , Xue Jun 
Published: September 2024

Abstract

The aim of this study was to investigate the relationship between fibroblast growth factor 19 (FGF19) and the prognosis and immune infiltration of colorectal cancer (CRC), and to find the related genes and pathways affecting the occurrence and development of CRC, providing an important molecular basis for the early diagnosis and immunotherapy of CRC. We performed Venn overlap analysis on prognosis-related genes of CRC and up-regulated differentially expressed genes (DEGs) of CRC and immune-related gene sets to obtain the final DEGs. We investigated the relationship between the target genes and pathological parameters, immune infiltration, and immune checkpoints. The relevant functions and signaling pathways of target genes were analyzed by enrichment analysis. We investigated the genetic variation of the target genes. We analyzed the association of target genes with tumor heterogeneity and drug sensitivity. Finally, we performed single-cell analysis of the target genes. The results indicate that FGF19 is a target gene associated with immunity and prognosis in CRC patients. By exploring the relationship between FGF19 and neutrophil extracellular traps (NETs), and the relationship between NETs and the immune microenvironment, we found that FGF19 may have an effect on the progression of CRC by promoting NETs expression leading to immune cell suppression.
Identifying the Source of the Dust Storm in Rainy Conditions and Determining the Effects of Dust on the Physical Structure of Clouds in the West and Southwest of Iran
Authors: rostami dana , Lashkari Hassan , Mohammadi Zainab 
Published: September 2024

Abstract

Dust storms have direct and indirect effects on the climate and the environment under their influence. During the last two decades, due to climate changes and land use changes in the west and southwest of Iran, dust storms with precipitation have been observed, which certainly greatly impact the cloud structure and subsequent precipitation in this region. This research aims to identify the origin of dust storms and investigate the effects of these storms on the physical structure of clouds in rainy conditions and unstable atmospheres in the study area. This research used thematic maps, the HYSPLIT model, and satellite images to identify the source of these types of storms. Also, SIVIRI sensor images and dust data from the CAMS global reanalysis EAC4 have been used to investigate the effects of dust on the cloud structure. Based on model tracking and satellite images, five regions, including the Nafud desert and Rub al-Khali in Saudi Arabia, desert regions of North East Africa, western regions of Syria, and western Iraq, were identified as the most important source of this phenomenon. Also, the effects of dust on cloud structure showed a strong positive correlation between the amount of dust and the parameters of optical depth and liquid water path, at a significant level of 95% in the sample of heavy rains. There is no significant correlation in the relationship between other parameters of cloud structure in the event of heavy precipitation. Also, the results showed no significant relationship between the amount of dust and cloud parameters in light rain. Identifying the source areas and routes of dust storms, as well as investigating the effects of dust on the structure of clouds, will improve our understanding of the mechanisms and effects of dust storms on the climate and environment of the region.
A multivariate model for the prediction of pregnancy following laparoscopic artificial insemination of sheep.
Authors: Spanner E.A. , de Graaf S.P. , Rickard J.P. 
Published: September 2024

Abstract

The causes of variation in the success of laparoscopic artificial insemination (AI) in sheep are not well understood. As such, this study incorporated the contributions of multiple male and female factors relevant to the success of AI into a comprehensive prediction model for pregnancy success. Data from Merino ewes (N = 30 254) including age, uterine tone (1; pale/flaccid-5; turgid/pink), intra-abdominal fat (1; little to no fat present-5; high fat), time of insemination and sire used, were recorded during AI. A subset of semen per sire (N = 388) was thawed and assessed for volume, subjective motility, sperm concentration, and morphology. Sperm motility (CASA), viability and acrosome integrity (FITC-PNA/PI), membrane fluidity (M540/Yo-Pro), mitochondrial superoxide production (Mitosox Red/Sytox Green), lipid peroxidation (Bodipy C11), level of intracellular reactive oxygen species (H2DCFDA) and DNA fragmentation (Acridine Orange) were also assessed 0, 3 and 6h post-thaw. Logistic binomial regression revealed sperm concentration (P < 0.001), CASA parameters at 0h (PCA3; P = 0.03), viable acrosome intact sperm at 6h (P = 0.02), abnormal morphology (P < 0.001), uterine tone (P < 0.001) and intra-abdominal fat (P = 0.03) of ewes influenced likelihood of pregnancy. Results generated will help standardise the pre-screening and selection of semen and ewes prior to artificial breeding programs, reducing variation in the success of sheep AI.
Effect of fractional carbon dioxide laser combined with recombinant bovine basic fibroblast growth factor gel in the treatment of mature scar after facial scald burns: a retrospective cohort study
Authors: Yang Qing , Yin Yue , Dou Wenjie , Fan Xing , Xue Ping , Li Tong 
Published: September 2024

Abstract

Objectives
To assess the safety and clinical effect of fractional carbon dioxide (CO2) laser combined with recombinant bovine basic fibroblast growth factor (rb-bFGF) in the treatment of mature scars after facial scald burns.
Methods
We collected 123 patients with mature scars after facial scald burns who received fractional CO2 laser treatment in our department for a retrospective cohort study. According to whether the rb-bFGF gel was used during the treatment, patients were divided into CO2 + rb-bFGF group and CO2 group. The modified Patient and Observer Scar Assessment Scale (POSAS) scar score was used to evaluate the clinical effect. Patient satisfaction and adverse events were also assessed.
Results
At the last follow-up visit, the PSAS score was statistically different between the two groups (7.74 ± 2.15 vs. 9.41 ± 1.97; P < 0.01), including color (1.79 ± 0.77 vs. 2.80 ± 1.15; P < 0.01), stiffness (1.75 ± 0.62 vs. 2.00 ± 0.50; P < 0.01), and thickness (1.96 ± 0.48 vs. 2.16 ± 0.51; P < 0.01); the OSAS score was statistically different between the two groups (11.34 ± 3.21 vs. 12.96 ± 3.12; P < 0.01), including pigmentation (1.75 ± 0.78 vs. 2.61 ± 1.20; P < 0.01), thickness (1.92 ± 0.51 vs. 2.10 ± 0.42; P < 0.05), relief (1.64 ± 0.60 vs. 1.86 ± 0.50; P < 0.05), and pliability (1.96 ± 0.62 vs. 2.24 ± 0.52; P < 0.05). For patient satisfaction and adverse events, patients in the CO2 + rb-bFGF group had faster wound healing, lower incidences of persistent erythema and hyperpigmentation, and higher satisfaction.
Conclusions
The effect of fractional CO2 laser combined with rb-bFGF gel in the treatment of mature scar after facial scald burn is better than that of laser alone.
Construct validity and reliability of the Thai version of the Brief Illness Perception Questionnaire and its association with overall functioning and health in patients with ankylosing spondylitis
Authors: Chiowchanwisawakit Praveena , Ratta-apha Woraphat , Meannui Nutwara 
Published: September 2024

Abstract

Objectives
This cross-sectional study investigated the construct validity and reliability of a Thai-language version of the Brief Illness Perception Questionnaire (Thai-BIPQ) and its association with health in ankylosing spondylitis (AS) patients, as measured by the ASAS–Health Index (ASAS-HI)
Methods
AS patients receiving treatment at Siriraj Hospital were recruited. Reliability was assessed using Cronbach’s alpha coefficient and the intraclass correlation coefficient (ICC). Construct validity was determined by Spearman correlation with the Ankylosing Spondylitis Disease Activity Score (ASDAS), ASAS-HI, and Hospital Anxiety and Depression Scale (HADS). Linear regression was used to analyze the associations between the ASAS-HI (dependent variable) and the Thai-BIPQ (independent variable).
Results
We recruited 61 patients, 63.9% male, with a mean age of 47.9 years and a mean disease duration of 16 years. The median Thai-BIPQ score was 2. Cronbach’s alpha was 0.53 but increased to 0.73 after deleting the items “timeline,” “treatment control,” and “coherence.” The ICC was 0.95 with no missing data. The Thai-BIPQ showed moderate correlations with the ASDAS, ASAS-HI, and HADS (Spearman’s rho 0.44–0.56). According to multivariate regression, Thai-BIPQ (P = 0.006) and ASDAS ≥ 2.1 (P < 0.001) were positively associated with the ASAS-HI.
Conclusions
The Thai-BIPQ is a valid, reliable, and feasible tool for evaluating illness perception in AS patients. Low disease activity and positive illness perception are associated with better functionality and health. Further research is necessary to explore strategies for modifying illness perceptions in AS patients.