bluuebunny/crossref_metadata_2025_split huggingface dataset:
Swaying Information about Care: Information-Sharing Challenges in Transitional Care of Older Adults
Authors: Kawasaki Ginji , Kawabe Mika , Suzuki Muneou , Sugihara Taro 
Published: March 2024

Abstract

Purpose: Despite the increasing importance of elderly care due to the aging global population, few studies have addressed information-sharing challenges in transitioning older adults between hospitals and care facilities. Medical facilities upstream primarily exchange information about treatment, whereas downstream care houses necessitate information to aid in maintaining or improving quality of life. Due to the lack of clarity surrounding the issues in information sharing from upstream to downstream, this exploratory study was conducted to identify the types of problems, primarily focused on the hospital discharge process.
Methods: This study conducted mixed-method research (interview, questionnaire, follow-up interview) involving staff in both types of facilities. Three investigations were conducted to identify the challenges of information sharing.
Results: The quantitative results showed a subjective assessment indicating that the information-sharing process was not functioning adequately overall. The qualitative findings underscored challenges in sharing information to support caregiving and quality of life rather than medical information for treatment. We revealed the absence of appropriate sharing methods, the failure to share information other than current medical information, and the fact that certain information can only be shared orally. Moreover, due to their different nature and roles, hospitals and care facilities consider different types of information important.
Conclusion: One of the empirical contributions was the cognition that the sharing of individual information items was not insufficient but that there was a lack of information as a whole. Our findings will contribute to research on aging issues and support for older adults in health information research communities.
Emerging Threat: Highly Resistant Serratia marcescens in Iraqi ICU Patients
Authors: AL-Kadmy Israa M.S. , Al-Saryi Nadal A. , Salman Istabreq Muhammed Ali , Garallah Eman Thamer , Aziz Sarah Naji , Al-Jubori Sawsan Sajid , Naji Eman Natiq , alhomaidi Eman 
Published: March 2024

Abstract

Serratia marcescens has gained attention as an emerging pathogen worldwide, which causes infections and outbreaks in immune comprised individuals and patients in Intensive Care Units (ICUs). Antibiotics resistance has been shown to be increased worldwide, which limit the treatment options especially for patients in ICUs. In this study, 101 isolates of Serratia marcescens were collected from ICUs and identified by biochemical and molecular methods. The antibiotic susceptibility test showed that these isolates were resistant to most antibiotics tested as the following: 100% to Ampicillin, 93% to Ampicillin/Sulbactam, 69.3% to Ampicillin/ Clavulanic acid, 97% to Cefepime, 90.09% to Amoxicillin/ Clavulanic acid, 81.1% to Gentamycin, 77.2% to Tobramycin, 72.2% to Ciprofloxacin, 72.2% to Tetracycline, 63.3% to Cefotaxime, 61.38% to Ceftriaxone, 52.4% to Amikacin, 49.5% to Imipenem, 38.6% to Meropenem, 45.5% to Levofloxacin, 38.6% to Tigecycline, 57.4 to Piperacillin, 43.56% to and 24.7% to Colistin. Furthermore, PCR was used to detect antibiotics resistance genes for S. marcescens isolates. 100% of the isolates had blaCTX-M and blaSHV , 98% had blaCMY, 92% blaTEM genes. In addition, 69.3% of the isolates were positive for qnrB and 66.3% for qurS. aac(6')-Ib-cr gene was found in 44.5%, ant(4’)IIb in 41.5%, aph(3'')Ib in 40.5%, rmtC in 42.5% , and rmtD in 57.4% of the tested isolates. Furthermore, tet(A), tet(X), fasA, mpha, ompA, cat, mcr1 and Int1genes were found in 67.3%, 65.3%, 40.5%, 40.5%, 43.5%, 53.4%, 24.7% and 39.6% of the isolates, respectively. Phenotypic and genotypic detection for carbapenemase was carried out by Hodge test and PCR. The results showed that 23.7% of the isolates were positive for Hodge test. For PCR detection, 51 isolates were positive for blaIMP, 44 isolates for blaKPC, 91 isolates for blaVIM, and 14 isolates for blaNDM1, respectively. In addition, resistance phenotype-genotypic correlation and dendrogram phylogenetic analysis were performed for the isolates. This study showed S. marcescens in ICU associated with the high frequency of resistance genes, which shows the importance to eliminate the spread of these isolates and an urgent control protocol is needed. In conclusion, this study highlights the concerning levels of antimicrobial resistance among S. marcescens isolates from ICU patients in Baghdad City. The findings underscore the urgent need for enhanced infection control measures, antimicrobial stewardship programs, and surveillance strategies to combat the spread of multidrug-resistant pathogens in healthcare settings. Further research is warranted to explore novel treatment options and strategies to mitigate the impact of antimicrobial resistance on patient outcomes.
Optimizing Foam Concrete Performance Using Mixed Foaming Method: Impact of Mixing Speed, Mixing Duration, and Foam Dosage
Authors: GALOUL Riadh , boumchedda Khaled , Mebtouche Farouk 
Published: March 2024

Abstract
Foamed concrete has gained significant attention, especially in the field of thermal insulation and acoustic insulation. However, all production methods are based on the pre-foaming method, while the mixed foaming method is an infrequent approach that should be considered and could be challenging. For this reason, this paper attempt to highlight this method and valuate it on par with the pre-foaming method in the production of foamed concrete, both in terms of structure and performance. These performances are directly dependent on the pore structure of this material (pore size, porosity rate, and pore distribution). Therefore, a process has been developed for sample preparation to achieve a final product with a well-controlled size and distribution of porosity, meeting the desired performance criteria. This process involves varying the following parameters: mixing speed (from 400 to 1000 rpm), mixing time (from 2 to 12 minutes), and the dosage of foaming agent (from 0.05 to 0.2%). The effect of mixing speed, mixing duration and the dosage of the foaming agent on the generated foam rate, density, structure at the millimeter scale, structure at the micrometer scale, and thermal conductivity was demonstrated. The obtained results show that with a generated foam rate extending to 79%, a density reaching 428 kg/m³, and a thermal conductivity achieving 0.181 w/k.m, the mixed foaming method becomes an important and competitive approach to the pre-foaming method in the production of foamed concrete.
Evidence of Altered Monoamine Oxidase B, an Astroglia Marker, in Early Psychosis with Cannabis Use
Authors: Aji Kankana Nisha , Lalang Nittha , Ramos-Jiménez Christian , rahimian Reza , Mechawar Naguib , Turecki Gustavo , Chartrand Daniel , Boileau Isabelle , Meyer Jeffrey , Rusjan Pablo , Mizrahi Romina 
Published: March 2024

Abstract

A novel radiotracer, [11C]SL25.1188 targets monoamine oxidase-B (MAO-B) enzyme, which metabolizes monoamines (including dopamine) primarily found in astrocytes. Altered astrocyte function in schizophrenia is supported by convergent evidence from post-mortem, genetic, transcriptomic, peripheral and preclinical findings. However, this has never been tested in living brains of early psychosis. Thirty-eight participants including antipsychotic-free/minimally exposed patients with first-episode psychosis (FEP), clinical high-risk (CHR) individuals and healthy volunteers (HVs) underwent a 90-minute positron emission tomography (PET) scan with [11C]SL25.1188, to measure MAO-B VT, an index of MAO-B concentration. Participants were excluded if tested positive on urine drug screen (except for cannabis). This study of 14 FEP (mean[SD] age, 25.7[5.7] years; 6 F), 7 CHR (mean[SD] age, 20.9[3.7] years; 4 F) and 17 HV (mean[SD] age, 31.2[13.9] years; 9 F) demonstrated significant group differences in regional MAO-B VT (F(2,37.46) = 4.56, p = 0.02, Cohen’s f = 0.49), controlling for tobacco (F (1,37.46) = 5.50 p = 0.02) and cannabis use (F(1,37.46) = 5.05, p = 0.03) with significant reductions in CHR compared to HV (Cohen’s d = 0.99). We report a significant cannabis effect on MAO-B VT (F(1,39.47) = 12.45, p = 0.001, Cohen’s f = 0.56), with a significant group-by-cannabis interaction (F(2,37.35) = 3.81, p = 0.03, Cohen’s f = 0.45), indicating lower MAO-B VT in cannabis-using patients. Decreased MAO-B VT levels was more robust in striatal than cortical regions, in both clinical groups (F(12,46.07) = 2.00, p = 0.046, Cohen’s f = 0.72) and in cannabis users (F(6,46.07) = 6.01, p < 0.001, Cohen’s f = 0.89). Reduced MAO-B concentration supports astrocyte dysfunction in cannabis-using CHR and FEP patients. Reduced MAO-B is consistent with replicated striatal dopamine elevation in psychosis, as well as astrocyte dysfunction in schizophrenia.
Machine Learning-driven models for predicting CO2 Uptake in Metal-Organic Frameworks (MOFs)
Authors: Achour Sofiene , Hosni Zied 
Published: March 2024

Abstract
This study advances the discourse on the application of machine learning (ML) algorithms for the predictive analysis of CO2 uptake in Metal-Organic Frameworks (MOFs), with a nuanced focus on the CATBoost model's capability to navigate the complexities inherent in MOFs' heterogeneous landscape. Building upon and extending the comparative analysis, our investigation underscores the CATBoost model's remarkable predictive prowess, characterized by a significant reduction in root mean square error (RMSE) and an enhanced R-squared (R²) value, thereby affirming its superior accuracy and reliability in forecasting CO2 adsorption. A pivotal aspect of our research is the integration of SHAP values for a detailed assessment of feature importance, which not only corroborated 'Pressure' and 'Surface Area' as pivotal determinants of CO2 uptake but also illuminated the model's advanced analytical capabilities in handling categorical features and mitigating overfitting, even within a dataset marked by intricate and non-linear patterns. Our quantitative and conceptual analysis, showcasing up to a 15% improvement in (RMSE) over previous models, reveals the CATBoost model’s unparalleled efficiency in discerning the multifaceted interplay of factors influencing CO2 adsorption. This is crucial for the strategic engineering of MOFs with optimized properties. Beyond 'Pressure' and 'Surface Area', our SHAP analysis highlighted other descriptors with substantial values, elucidating their nuanced contributions to CO2 uptake and providing invaluable insights for the MOF design process.
Preoperative predictive model based on computed tomography imaging features for pancreatic fistula risk after pancreaticoduodenectomy
Authors: Wang， Yongkai , Chu， Hongpeng , Xi， Shihang , Chen， Zhiyuan , Sun， Wenjing , Yao， Ting , Wang， Guannan , Lu， Linming , Wang Xiaoming 
Published: March 2024

Abstract
Purpose: This study aimed to establish a predictive nomogram model to anticipate the risk of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy (PD) at an earlier stage.
Methods: Data were retrospectively collected from patients who underwent PD at the First Affiliated Hospital of Wannan Medical College. Subsequently, univariate and multivariate logistic regression analyses were performed on relevant factors to identify independent risk factors for CR-POPF. This led to the development of a risk prediction nomogram model based on imaging data. The model's predictive performance and calibration were assessed using ROC curve analysis and calibration curves, then combined with DCA to evaluate the model's clinical utility, and compared with existing models.
Results: Multivariable regression analysis showed that BMI (OR = 1.365, P < 0.001), extracellular volume fraction (ECVF) (OR = 0.884, P < 0.001), main pancreatic duct diameter (MPD) (OR = 0.263, P < 0.001), and the short axis of the pancreatic neck cross-section (OR = 1.374, P = 0.014) are independent risk factors for CR-POPF. There is a significant positive correlation between ECVF and pancreatic fibrosis; Compared with existing risk scoring systems, the model developed in this study showed a superior fit and had the smallest misclassification error.
Conclusion: The results of this study indicate that the nomogram model provides a good predictive effect for the preoperative assessment of the risk of CR-POPF, and that ECVF is a readily obtainable predictor of CR-POPF, with a high correlation between ECVF and pancreatic fibrosis, and the pancreatic texture is classified based on ECVF.
Dietary factors and risk for endometriosis: a Mendelian randomization analysis
Authors: Zhang Xia , Zheng Qiaomei , Chen Lihong 
Published: March 2024

Abstract
Aims
Observational studies have reported an association between dietary factors and endometriosis, but the causality remains unknown. The study aimed to evaluate the potential causal effect of dietary factors on endometriosis.
Methods
We performed a two-sample Mendelian randomization (MR) analysis to investigate the effects of 18 diet-related exposure factors (alcoholic drinks per week, alcohol intake frequency, processed meat intake, poultry intake, beef intake, non-oily fish intake, oily fish intake, pork intake, lamb/mutton intake, bread intake, cheese intake, cooked vegetable intake, tea intake, fresh fruit intake, cereal intake, salad/raw vegetable intake, coffee intake, dried fruit intake) on the risk of endometriosis using summary statistics from the genome-wide association study (GWAS). The inverse variance weighted (IVW) method was used to deduce the causal association between dietary factors and endometriosis, and sensitivity analyses were further performed.
Results
Processed meat intake (OR=0.550; 95%CI:0.314-0.965; p=0.037) and salad / raw vegetable intake (OR=0.346; 95%CI:0.127-0.943; p=0.038) were discovered as protective factors for endometriosis. Heterogeneity test revealed no significant heterogeneity (processed meat intake: pIVW=0.607, pMR-Egger=0.548; salad / raw vegetable intake: pIVW=0.678, pMR-Egger=0.620). MR-Egger regression test didn’t support any evidence for horizontal pleiotropy (processed meat intake: p for intercept=0.865; salad / raw vegetable intake: p for intercept=0.725). No causal relationship was found between other dietary intakes and endometriosis.
Conclusion
These findings suggest that processed meat intake and salad/raw vegetable intake are associated with a decreased risk of endometriosis, but further investigation is required.
Identification and expression of the target gene SLC24A2 of oar-miR-377 and its novel SNPs effects on wool traits in sheep
Authors: zhou huaqian , Fan Wenhua , Qiu Lixia , Yang Hanyulu , Zhao Zongsheng , Yang Hua , Yu Qian , Yang Yonglin , Zhang Wenzhe 
Published: March 2024

Abstract
Hair follicle development is closely associated with wool traits. Current studies reveal the crucial role of microRNAs in regulating the specific gene expression by binding to target mRNA involution in hair follicle growth and development, thereby regulating the wool traits. Our previous miRNA sequencing showed that oar-miR-377 have special expression in secondary hair follicle development and SLC24A2 may be a new candidate target using bioinformatics analysis. In this study, the regulatory relationship of oar-miR-377 and its specific target gene SLC24A2 was determined in sheep fibroblasts by dual-luciferase reporter assay, RT-qPCR and western blot. The genetic variation of oar-miR-377 precursors were detected using PCR and Sanger sequencing, the association between polymorphisms of oar-miR-377 and wool quality traits were analyzed in Chinese Merino and prolific Suffolk sheep. The result showed that SLC24A2 was a target gene of oar-miR-377. A SNP (276T＞C) of oar-miR-377 upstream sequences was identified in Chinese Merino sheep and prolific Suffolk sheep, and extremely significant associated with the fiber diameter variation (P<0.01). These results suggest that oar-miR-377 promotes secondary hair follicle development by down regulation of SLC24A2 gene expression, and its SNP might be useful markers for wool quality.
Almost Borderenergetic Line Graphs
Authors: DEDE Cahit , MADEN Ayşe Dilek 
Published: March 2024

Abstract

The energy of a graph is calculated by summing the absolute values of the eigen-values found in its adjacency matrix. In this study, we present examples of line graphs with energy equivalent to the energy of a complete graph, which are called the borderenergetic graphs. As the examples of borderenergetic line graphs are rare, we introduce a new type of graphs called almost borderenergetic graphs whose energy differs from the borderenergetic energy by at most 1. In this paper, we begin by exploring the energy properties of line graphs derived from regular graphs and strongly regular graphs. Specifically, we establish a criterion for a line graph to exhibit borderenergetic characteristics when it consists of p many connected regular graphs and q many complete graphs, even when the original regular graph is disconnected. Additionally, we present a criterion for the line graph of a strongly regular graph to exhibit borderenergetic characteristics. To illustrate these concepts, we offer examples of connected borderenergetic graphs that are not necessarily complete. In the second part, we give the spectrum of the line graph of rK 1 K 2 , and show that it is an almost borderenergetic graph for r ≥ 5.
MSC2020: 05C50, 05C76, 15A18.
Psychosocial impacts on patients with Hypertrophic Cardiomyopathy (HCM) who received a Variant of Uncertain Significance (VUS) genetic test result
Authors: Thomas Philippa Emily Benigno , Roberts Jonathan 
Published: March 2024

Abstract

Hypertrophic cardiomyopathy (HCM) is a hereditary heart condition, engendering possible fatal symptoms such as heart failure. Gene panel testing is currently employed to provide a genetic diagnosis for HCM, but the discovery of a Variant of Uncertain Significance (VUS) genetic test result is a possibility. This study explored the psychosocial impacts of receiving a VUS result on patients with HCM. A qualitative methodology, using semi-structured interviews, explored the experiences, perceptions, emotions and understanding of seven patients who had received a VUS result with a diagnosis of HCM. The interview transcripts were scrutinised using thematic analysis. Three key themes were highlighted; ‘anxiety’, ‘managing uncertainty’ and ‘hope’ and the overarching theme of ‘concern for family’. Overall, receiving a VUS result did not seem to have a serious psychosocial impact on these participants. The understanding of their result was diverse, but they largely acknowledged its uncertainty, concerned mainly about the impact on their family members. Two ways participants managed this uncertainty were to accept and compartmentalise their result and to remain hopeful for future result re-classification.These coping strategies were similarly seen in cancer patients with VUS results. Consequently, these findings should support Healthcare Professionals (HCPs), especially Genetic Counsellors, when discussing VUS results.
Chimeric free flaps based on end-to-side anastomosis for complex lower extremity reconstruction
Authors: Gu Yingluo , Sun Yongyang , Xu Ke , Yi Nan , Qin Jianzhong , Zhang Yong , Zhao Jiaju , Jiang Bo 
Published: March 2024

Abstract
Background: Complex lower extremity defects are difficult to cover and often require multiple free tissue transfers. Chimeric anterolateral thigh free flaps (ALTF) and peroneal artery perforator free flaps (PAPF) have been designed specifically as an alternative for reconstruction with arterial end-to-side (ETS) anastomosis. We aimed to assess our institutional experience with this technique and to define its role in complex lower extremity reconstruction.
Methods: From July 2012 to March 2023, 27 patients with complex lower extremity defects underwent reconstruction with chimeric ALTF or PAPF. Patients were performed with retrograde flaps for repairing refractory wounds of tibia plateau fracture and antegrade flaps for distal 2/3 tibia and beyond. Demographic, clinical, and follow-up data on the patients were recorded with a special focus on complication profiles during a follow-up of 6 to 60 months.
Results: The mean defect size measured 121.1 ± 215.1 cm2 and the chimeric ALTF or PAPF flaps measured 143.9 ± 177.8 cm2. One patient lost the first free flap but successfully had a chimeric PAPF then. Three patients suffered partial free flap loss, and another three had minor complications. All six survived after an additional exploration, wound dressing, or antibiotics treatment. The retrograde flaps achieved similar blood flow to the antegrade flaps. Patients are all satisfied with functional and aesthetic outcomes.
Conclusions: Given the incidence of complications, utilizing chimeric ALTF and PAPF either with retrograde or antegrade flow based on arterial ETS anastomosis is a reliable surgical option for complex lower extremity reconstructions.
DHC-YOLO: Improved YOLOv8 for Lesion Detection in Brain Tumors, Colon Polyps, and Esophageal Cancer
Authors: Ren Shaojie , Song Jinmiao , Yu Long , Tian Shengwei , Long Jun 
Published: March 2024

Abstract
The detection of lesions in various diseases remains a challenging task in medical image processing, given the diverse morphologies, sizes, and boundaries of lesions associated with different illnesses. In this paper, we propose an advanced lesion detection model named DHC-YOLO, which integrates Multi-Scale Dilated attention (MSDA) and multi-head self-attention (MHSA) within the YOLOv8 network. The method also introduces an enhanced feature fusion through the Concatenation (Concat) operation in the Feature Pyramid Networks (FPN) structure of YOLOv8. The DHC-YOLO model achieves superior performance in lesion detection by effectively aggregating semantic information across various scales in the attended receptive field, reducing redundancy in self-attention mechanisms without the need for complex operations or additional computational costs. The incorporation of MHSA enhances the network’s ability to extract diverse features, and the Concat operation in FPN improves multi-scale feature fusion. Our evaluations on brain tumor, colonic polyp, and esophageal cancer datasets demonstrate the superiority of our method over baseline YOLOv8 and several state-of-the-art object detection models. Specifically, on the brain tumor dataset, DHC-YOLO achieves mAP50 and mAP50:95 scores of 88.3% and 73.5%, respectively; on the colonic polyp dataset, the scores are 88.8% and 67.2%; and on the esophageal cancer dataset, the scores are 51.3% and 20.7%. These compelling results underscore the robust performance of DHC-YOLO in lesion detection tasks.