bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alergia a las proteínas de la leche de vaca: Revisión bibliográfica
Authors: Morales Vindas Verónica , Greenwood González Eric , González Vargas Dayan , Murillo Salas José Pablo 
Published: September 2024

La alergia a las proteínas de la leche de vaca (APLV) es una reacción inmunológica reproducible ante la exposición a las proteínas de la leche de vaca. El diagnóstico de la APLV se basa en una prueba de provocación oral alimentaria tras una dieta de eliminación y se describen otras pruebas complementarias, como la prueba cutánea de hipersensibilidad y la medición de IgE en suero (α-lactoalbúmina y β lactoglobulina). En el presente artículo de revisión se proporciona una visión integral y actualizada de la APLV. Con énfasis en los métodos diagnósticos y las consideraciones clínicas para evitar el subdiagnóstico. Además, se enfatiza en la importancia del microbiota intestinal en la APLV y se mencionan algunos síndromes específicos no mediados por IgE, como la proctitis y proctocolitis alérgica inducida por PLV y la enterocolitis inducida por PLV.
PALABRAS CLAVE: hipersensibilidad a la leche, leche de soya, fórmulas infantiles, APLV
The Reinforcement of Islam Philanthropy by Means of Waqf Optimizing based on Sukuk
Authors: Maspupah Ima , Hasanah Shofia Mauizotun 
Published: September 2024

Sukuk has been developed rapidly both in quality and quantity, this can be proved by the rapid development in the international financial landscape and is also regarded as the most successful financial products among Islamic financial institutions in the realm of the world. As one of the long-term financing instruments, sukuk has become an alternative funding to be obtained for the investment and projects for governments and companies. In Indonesia, the SBSN development has an outstanding value of Rp 298 trillion, or equal with 13% from the total debt securities issued by the government in September 2015 which showed the value of Rp 2.306 trillion. Sukuk is essentially certificate of ownership of an asset (real project) that can be used on a large scale to defray the construction of sukuk which are not included into buying and selling securities in secondary market, but a financing. Sukuk has assurance in the form of main asset (collateral assets) and serves as the basis for the issuance of sukuk to avoid riba by the prerequis its elements that be traded. The purpose of this article is to present a solution in optimizing the asset-based sukuk that are asset of utilization waqf endowments given in Indonesia which is not yet optimal. The method used is the study of literature. The conceptis generated in the form of waqf asset utilization as underlying assets for sukuk. Where the sukuk was issued through a Special Purpose Vehicle (SPV) as the representative body nadzirin this Indonesian Waqf Board (IWB) to be leased to investors. Sukuk is expected to support the optimization of endowment assets to be more productive as well as a challenge to change consumption patterns and preferences with their moral filter in the form of awareness of social solidarity. As a result, the concept of Pareto optimum which does not recognize the existence of a solution that does not require the sacrifice of the minority (wealthy) in order to improve the welfare of the majority (poor) do not apply anymore.
Spatio-temporal changes and driving mechanisms of vegetation in Yunnan Province based on MODIS-KNDVI in recent 20 years
Authors: Shao Xin , Ding Xue , Wang Jinliang , Peng Shangyun , Wang Zhaoqian 
Published: September 2024

Abstract

Vegetation cover serves as a pivotal indicator for evaluating key ecosystem attributes, signifi-cantly elucidating the intricate dynamics between global climate shifts and ecosystem equilibrium. The employment of remote sensing for extensive, high-fidelity vegetation cover surveillance is critical in appraising regional environmental transformations and devising targeted vegetation conservation strategies. Implementing the Kernel Normalized Difference Vegetation Index (KNVDI) enhances the precision of vegetation change detection. Leveraging the Google Earth Engine (GEE) for remote sensing data analysis, this investigation harnesses MODIS imagery spanning 2000 to 2020 to construct the KNVDI for meticulous observation of vegetation altera-tions in Yunnan Province, China. Employing GIS methodologies, including Theil-Sen trend analysis, Mann-Kendall tests, and centroid shift models, this study intricately examines the temporal and spatial evolution of vegetation cover over two decades. Incorporating Hurst index projections for future trends and utilizing an optimized geographic detector model, it probes into the underlying drivers of vegetation cover modifications in the region. Findings indicate:(1) a pronounced increase in KNVDI from 2000 to 2020, with a growth rate of 0.028 per decade and an average value of 0.3304, showcasing a west-high, east-low spatial distribution. (2)Areas of vege-tation increase substantially outweigh those of decrease, predominantly located in the northeast and southwest, contrasted with sporadic reductions in central and northwest Yunnan and near significant inland lakes. The average H value for KNVDI suggests a reversal in future vegetation trends compared to the past. (3)Precipitation and aridity emerge as the primary influencers on KNVDI, significantly affecting vegetation dynamics, with their interactions demonstrating en-hanced and nonlinear influence, particularly between precipitation and aridity/elevation. These insights offer valuable implications for the sustainable development and strategic planning of vegetation cover in Yunnan Province.
Canine-Assisted Therapy in Reducing Stress and Anxiety Levels of University Students: Systematic Review and Meta-analysis of Randomized Controlled Trials
Authors: Sim Shu Qing , Liu Zhiwei , Wu Zishuo , Wang Sian , Nisa Claudia 
Published: September 2024

Abstract

Background
Due to the high prevalence of mental health issues among university students worldwide, canine-assisted therapy (CAT) has emerged as a potential intervention to reduce student stress and anxiety. This study systematically reviews and meta-analyzes the effects of CAT on reducing stress and anxiety levels among university students.
Methods
A systematic search was conducted across multiple databases for randomized controlled trials (RCTs) published in English and Chinese including Google Scholar, Duke Libraries, APA PsychNet, PubMed, CNKI, and Wanfang, focusing on RCTs. Only studies utilizing professionally trained dogs and handlers in therapy sessions were included. Data were extracted independently by two reviewers (SS and ZL), and the risk of bias was assessed using the Cochrane Risk-of-Bias tool. Effect sizes (Hedges’ g) were pooled for individual outcomes using random-effects meta-analysis. Statistical analyses, including subgroup analyses examining the impact of intervention duration, were conducted to determine the overall effect size and explore potential moderators.
Results
Thirteen RCTs met the inclusion criteria, involving interventions with varying durations and control conditions. The meta-analysis revealed a statistically significant overall effect size of d = -0.703 (p < 0.001), indicating a moderate reduction in stress and anxiety levels among university students. However, high heterogeneity was observed across studies (I2 = 71.77, p < 0.001), suggesting variability in intervention effectiveness.
Conclusion
CAT demonstrates promise in alleviating stress and anxiety among university students. Despite methodological variations and potential publication bias, the findings suggest that CAT may offer a feasible and accessible approach to enhancing mental well-being within university environments. Further studies are necessary to examine factors influencing methodological diversity and refine the integration of CAT within university settings.
Application of MATLAB and SAS Viya AI Models towards the Elucidation of Potential Microplastics in the Neuse River Basin
Authors: Williams Wesley Allen , Aravamudhan Shyam , Nowlin Kyle , Ayodele Olubunmi 
Published: September 2024

Abstract

Microplastics (MPLs) are ubiquitous particles derived from degradation from plastic refuse or directly from anthropogenic sources. These particles are present in aquatic environments with potential toxicology across the biosphere. In order to characterize their presence, the Neuse River basin was selected for sampling. However, like many MPLs, spectroscopic characterization can be sullied by weathering process which obscure the native spectra. Therefore, to enhance MPL identification, Principal Component Analysis (PCA), K-means Clustering (KMC), MATLAB, and SAS Viya’s machine learning (ML) modules were implemented on Neuse River basin samples. 18 unknown samples were recorded with attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy against the controls: high-density polyethylene (HDPE), low-density polyethylene (LDPE), polypropylene (PP), polystyrene (PS), polyvinyl chloride (PVC), polyethylene terephthalate (PET), and nylon-6 (PA6). Later on, these unknowns were tested against a new set of 900 commercial control samples partitioned by 9 classes: cellulose acetate (CA), HDPE, LDPE, PP, PS, PVC, PET, polymethyl(methacrylate) (PMMA), and PA6 using µ-FTIR (micro-FTIR) for single-particle discrepancy. Application of MATLAB’s Classification Learner and SAS Viya for Learners software helped aggregate multiple machine learning (ML) models to test for corroboration of predictions with datasets derived from Version 1 (V1), Version 2 (V2), and Version 3 (V3) feature extraction algorithms. Novel feature extractions, based on regressions of discrete data from spectral intensities, in V2, and unique probing of the relationships informing the regressions, in V3, showed moderate to moderately high predictor strength contributing to accuracy increase in V3 according to various predictor strength algorithms in MATLAB. In the test scenario of the strongest version, V3, 63.2% (+5.3% from V1) of the models performed very strongly (90% cutoff in accuracy) and 89.5% (+0% from V1) of the models performed moderately strongly (80% cutoff in accuracy). The models, coupled with the unsupervised PCA and KMC, indicated microparticle (MP) from Stockinghead-Creek in Duplin County, NC; SHR-1b(2), as LDPE. However, the change in corroboration across model types was not significant according to Kruskal-Wallis (H = .555, p = .7577). An ANOVA was performed to see if LDPE incidence was similar across all unknowns indicating a similar ratio of predictions, excluding NRCP-1 (F = 31.479, p < .0001). While it is unclear if this particle is truly LDPE, the results may suggest that LDPE could be of high presence in the river basin (specifically, PE) when taking into account the predictor set across all versions.
A clinical study on the quality of life and psychological and sleep status of vestibular migraine patients
Authors: Zhang Huiping , Miao Jiangfang , Lu Qiangbin , Kong Yu , Bai Yanyan , Jiang Qitao 
Published: September 2024

Abstract

Objective
To explore the correlations and influencing factors between quality of life, anxiety, depression, and sleep disorders in patients with vestibular migraine (VM) and chronic migraine (CM).
Methods
The Dizziness Handicap Inventory (DHI), Migraine Disability Assessment (MIDAS), Hamilton Anxiety Rating Scale (HAMA), Hamilton Depression Rating Scale (HAMD), and Pittsburgh Sleep Quality Index (PSQI) were used to survey 71 patients with VM, 95 patients with CM, and 49 healthy controls, comparing their quality of life; the presence of anxiety, depression and sleep disorders; and related risk factors.
Results
The MIDAS score of the CM group was significantly greater than that of the VM group (P < 0.05). In the VM group, 51 patients (71.8%) had comorbid anxiety, 55 patients (77.5%) had comorbid depression, and 63 patients (88.7%) had comorbid sleep disorders. In the CM group, 66 patients (69.5%) had comorbid anxiety, 51 patients (53.7%) had comorbid depression, and 86 patients (90.5%) had comorbid sleep disorders. In the normal control group, 13 patients (26.5%) had comorbid anxiety, 13 patients (26.5%) had comorbid depression, and 14 patients (28.6%) had comorbid sleep disorders. There were significant differences in HAMA, HAMD, and PSQI scores among the three groups (P < 0.05). The MIDAS scores of patients with comorbid anxiety, depression, and sleep disorders in both the VM and CM groups were significantly greater than those of patients without comorbidities (P < 0.05). Multivariate stepwise regression analysis revealed that in VM patients, the MIDAS score was positively correlated with increased attack frequency, poor sleep quality, and comorbid anxiety (P < 0.05); in CM patients, the MIDAS score was associated with disease duration, headache severity, attack frequency, sleep quality, and comorbid anxiety (P < 0.05).
Conclusions
The quality of life of VM patients is related to attack frequency, sleep quality, and comorbid anxiety, whereas the quality of life of CM patients is associated with disease duration, headache severity, attack frequency, sleep quality, and comorbid anxiety.
A modified technique for radial artery access: how Interventional Radiologists can optimise the Cardiologists’ technique to suite their procedures
Authors: Aldin Zaid , Weaver Josephine , Khan Maha , Manolas Viktor , Tsampoukas Georgios , Khatri Tariq , Rebek Marius , Gharib Ali , Diss James 
Published: September 2024

Abstract

Background
single centre prospective observational study of our technique of radial access in 62 Prostatic Artery Embolisation procedures. Evaluation of left radial artery diameter using high frequency ultrasound pre- and post-administration of sublingual GTN. Pre-procedure questionnaires calculating symptom severity score compared with post-procedure.
Results
Sublingual GTN is associated with a statistically significant increase in radial artery diameter (p < .00001). There was a statistically significant reduction in both average IPSS and QoL from pre-procedure to post-PAE. 100% success rate of insertion of radial artery sheath was achieved. Crossover rate to femoral access was low (4%). Radial artery access had a low complication rate (2%). Radial artery variant anatomy was reasonably common (7%).
Conclusions
Sublingual GTN provides statistically significant increase in radial artery diameter. PAE from radial access is associated with a symptomatic improvement at 2-month follow-up.
Promotion of radioresistance of RACGAP1 in digestive system malignancy through impact on cell senescence
Authors: Qiu Chunyan , Zeng Jingni 
Published: September 2024

Abstract

Background
RACGAP1 (Rac GTPase Activating Protein 1) belongs to RHOGAP, has been proved to be an oncogene in several tumors. In this study, we attempted to validate the promotion of radioresistance of RACGAP1 in digestive system malignancy and tried to uncover potential mechanism.
Methods
Firstly, bioinformatics analyses for public datasets were taken. Then a series of in vitro experiments including CCK8 assay, Transwell migration and invasion experiments, and plate cloning formation experiment were conducted on digestive system malignancy. Finally, proteomics through iTRAQ (Isobaric tags for relative and absolute quantitation, iTRAQ) technology on colorectal cancer cell line LS411N with RACGAP1 knocked down was conducted and following bioinformatic analyses were carried out.
Results
RACGAP1 is high expressed in digestive system malignancy and has negative effect on survival. RACGAP1 promotes proliferation, migration and invasion of pancreatic cancer in vitro. RACGAP1 promotes radioresistance in pancreatic cancer, esophageal squamous carcinoma and colorectal cancer in vitro. Proteomics of colorectal cancer cell line LS411N with RACGAP1 knocked down shows differentially expressed proteins got enriched in pathway of cell senescence.
Conclusions
RACGAP1 is a promising oncogene target for digestive system malignancy. RACGAP1 might promote radioresistance through its impact on cell senescence.
A Flexible-Spoke Non-Pneumatic Tyre for Manual Wheelchairs
Authors: Wyatt Otis , Chatzistergos Panagiotis , Chockalingam Nachiappan , Ganniari-Papageorgiou Evangelia 
Published: September 2024

Abstract

This study combines laboratory testing with computer modelling to demonstrate, for the first time, the applicability of flexible-spoke non-pneumatic tyre (FS-NPT) technology in wheelchairs. Like existing solid non-pneumatic tyres, FS-NPTs are puncture-proof and will reduce the burden of tyre maintenance. Unlike existing solid tyres, FS-NPT performance is based on the properties of flexible structures (spokes), such as honeycombs, which can deform to offer superior cushioning and return to their original shape upon unloading. The results presented here indicate that the geometry of these spokes can be tuned to replicate the vertical stiffness of existing pneumatic tyres commonly used in wheelchairs while achieving higher rotational stiffness and reduced mass. Vertical stiffness is directly linked to user comfort while increased rotational stiffness is associated with increased wheeling efficiency. Results also indicate that FS-NPTs can change their stiffness to become softer under increased loading. This unique characteristic could enable the development of tyres that are relatively stiff during wheeling (for better wheeling efficiency), and softer during impact loads (e.g. during pavement dismount) for better cushioning. The demonstrated capacity for stiffness tuning could enable personalising FS-NPTs to meet the specific needs of individual users.
Risk factors and impact of chylous leak after laparoscopic surgery for gynecological malignancies
Authors: Liu Ya , Zhang Ping , Zhu Lin , Wang Yafen , Xu Hui , Ma Demei , Deng Xinchao 
Published: September 2024

Abstract

Purpose :The goal of this retrospective study was to investigate the risk factors and impact for chylous leak after laparoscopic surgery for gynecological malignancies.
Methods
Data on 495 patients who underwent surgery for gynecologic malignancies in the Department of Gynecology, the Second Hospital of Shandong University from January 2018 to April 2022 were collected. The risk factors related to the occurrence of chylous leak were then analyzed statistically.
Results : 394 patients underwent laparoscopic surgery and were divided into two groups according to the occurrence of chylous leak after surgery: 19 patients were in the case group,and 375 patients were in the control group. The incidence of chylous leak in this study was 4.82%. Univariate analysis showed preoperative anemia(p =0 .01)and enlarged lymph nodes (p = 0.008) as risk factors for chylous leak. Statistical analysis of postoperative factors between the two groups showed significantly increased length of hospitalization (p ＝0 .001) and hospitalization costs (p = 0.003), postoperative maximum temperature ( p < 0.001) maximum drain output (p < 0.001), and drainage tube days ( p < 0.001) in the case group compared with the control group. Multivariate binary logistic regression analysis showed that preoperative anemia (OR = 3.111, 95%CI = 1.081–8.953) was the risk factor for chylous leak.
Conclusions The occurrence of chylous leakafter laparoscopic surgery for gynecological malignancies leads to prolonged hospital stay, increased medical costs. The possibility of chylous leak occurring after laparoscopic surgery for gynecological malignancies with preoperative anemia is high.
Changes in Climatic Conditions, Soil Texture, and Rhizospheric Microorganisms Affect the Quality and Suitable Production Zones of Stellaria dichotoma L. var. lanceolata Bge
Authors: Li Zhenkai , Yang Yang , Feng Lu , Li Haishan , Dai Zhiheng , Cheng Tianle , Liu Shuying , Ma Ling , Luo Xin , Wang Yukun , Peng Li , Wu Hong 
Published: September 2024

Abstract

Background
Stellaria dichotoma L. var. lanceolata Bge. (S. lanceolata) is a psammophytic plant endemic to the northwest region of China and serves as a distinctive economic crop. It is the original plant species used in traditional Chinese medicine as Yinchaihu and also finds application in cosmetics production, predominantly growing in arid and semi-arid desert grasslands. In response to the significant changes in habitat and quality of S. lanceolata resulting from shifts in cultivation areas and indiscriminate introductions, this study aims to propose a more scientifically sound delineation of suitable production zones.
Results
The results indicated migration trends of S. lanceolata towards the central and eastern parts of Inner Mongolia and identified elev, bio_4, bio_13, bio_11, and S_clay as the primary influencing climate and soil environmental factors. Additionally, the rhizosphere microbial environment of S. lanceolata shifted significantly from high to medium suitability habitats. Meanwhile, increasing years of cultivation in introduction area broken the balance in fungal and bacterial diversity in the rhizosphere soil of S. lanceolata, leading to the enrichment of more pathogenic microbial communities, inducing diseases. It further demonstrated the suitability for high suitable zones of S. lanceolata from the perspective of rhizosphere microbiota. Metabolomic analysis revealed substantial changes in metabolic processes and substance accumulation during the migration from high to low suitable zones. Quality evaluations using near-infrared spectroscopy and determination of major component contents confirmed the superior quality of S. lanceolata in high suitable zones.
Conclusion
Overall, this study revealed the key climatic, soil, and rhizosphere microbial environmental factors influencing the quality formation of S. lanceolata and the selection of suitable production zones, offering guidance for sustainable development and production zone planning.
Vulnerability Assessment of Multi-storeyed RC Buildings with Open Ground Storey in Seismically Active Northeast Region of India: A Parametric Approach
Authors: Bharadwaj Karabi , Pathak Jayanta , Sonowal Debaraj 
Published: September 2024

Abstract

This study aims to assess the seismic vulnerability of multi-storeyed residential reinforced concrete buildings with Open Ground Storey (OGS) in a testbed located in the northeast region of India. Attributing to the critical seismic history of northeast India, thorough investigations available in the literature have contributed to the development of the seismic characteristics of this region. However significant gap is observed in the documentation of the seismic vulnerability of the building structures of the region due to insufficient data and limited available resources. Considerable variations in the construction practices, quality of construction and differences in detailed building classification across regions can pose a major challenge in the direct implementation of the pre-defined vulnerability models. The current research focused on the development of the vulnerability models of OGS buildings, a widely popular typology in developing cities and towns due to the vehicle parking facility in the open space of the ground storey but significantly vulnerable to seismic risks. Detailed classification of the OGS building typology and subsequent vulnerability evaluation revealed the significance of the numerous structural parameters that demand inclusion apart from building height in a vulnerability-based building classification system. The mean fractional deviation and proposed correction factors in reference to HAZUS 2022 proved to be highly effective for validation of the current vulnerability assessment outcomes and rating of the classification parameters. The study conducts a performance grading assessment to correlate the damage probabilities of OGS buildings with the corresponding fully infilled models. Based on the comprehensive assessment, a map showing the probable damage states of the participatory OGS buildings is developed to offer an expanded perspective on the location’s seismic risk to a design-level earthquake intensity.