bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unravelling the genetic variability and identification of vegetative heat tolerant lines in upland cotton (Gossypium hirsutum L.)
Authors: Venkatesh Venkatesh , Kajjidoni S. T. , Kariyannanavar P , Pavithra M. J. 
Published: February 2024

Abstract

A study was carried out to screen a set of 204 genotypes consisting of germplasm and advance breeding lines for heat tolerance. The study of genetic variability among these genotypes for various morpho-physiological traits revealed high PCV and GCV for number of dried squares, number of fruiting points and leaf area. The results of principal component analysis showed that the first six principal components with eigen values more than unity contributed 81.41% of the variability among genotypes and the traits like canopy temperature, relative water content, specific leaf weight, number of dried squares, plant height, number of fruiting points, leaf area and the phenological traits contributed significantly to total variability. The two genotypes viz., CPD-424 and EC560323 were identified as highly vegetative heat tolerant lines which can be used as donor parents in the heat tolerance breeding programmes.
Anaerobic bacteria from bloodstream infections: Comparison of three methods for identification and detection of the antibacterial susceptibilities of recovered isolates
Authors: Orak Filiz , Karakaya Emre , Satıcıoğlu İzzet Burçin , Akar Mustafa , Aydın Cansu , Abay Seçil , Aydın Fuat 
Published: February 2024

Abstract
This study was aimed at the comparison of three different methods used for the identification of anaerobic bacteria isolated from blood cultures and the determination of the antibacterial susceptibilities of the isolates. The study material comprised of 5282 blood samples. The samples were incubated in a BacT/ALERT system. The species identification of the isolates was performed using BBL Crystal Anaerobe system, matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS), and 16S rRNA gene sequence analysis. Antibacterial susceptibility testing was performed using the disk diffusion method with benzylpenicillin, clindamycin, piperacillin-tazobactam, meropenem, and metronidazole disks. In the BacT/ALERT system, forty-five anaerobic bacterial isolates were recovered from 39 (0.74%) of the samples that showed growth signs in blood culture bottles. The BBL Crystal Anaerobe system and 16S rRNA gene sequence analyses enabled the genus and species identification of all 45 isolates (100%), whereas with MALDI-TOF MS, only 37 (82.2%) of the isolates were able to be identified. The compatibility of the three tests for the identification of the isolates at genus and species level was 62.2% (28/45) and 37.8% (17/45), respectively. Antibacterial resistance rates of the isolates to piperacillin/tazobactam, clindamycin, benzylpenicillin, meropenem, and metronidazole were detected as 100%, 73.8%, 40%, 9.8%, and 5.5%, respectively. MALDI-TOF MS showed a higher level of compatibility with 16S rRNA gene sequence analyses, compared to the BBL Crystal Anaerobe system. The high rates of susceptibility to meropenem and metronidazole suggested that these antibiotics could be safely used for the empirical treatment of anaerobic bacterial infections.
Controlled Synthesized of Ternary Cu-Co-Ni-S Sulfides Nanoporous Network Structure on Carbon Fiber Paper: A Superior Catalytic Electrode for Highly-Sensitive Glucose Sensing
Authors: Li Yuanyuan , Duan Yi , Lin Jiangtao , Liao Jinghan , Xu Chao , Xue Fangqin , Duan Yourong 
Published: February 2024

Abstract
Background
Efficient monitoring of glucose concentration in the human body necessitates the utilization of electrochemically active sensing materials in nonenzymatic glucose sensors. However, prevailing limitations such as intricate fabrication processes, lower sensitivity, and instability impede their practical application. Herein, ternary Cu-Co-Ni-S sulfides nanoporous network structure was synthesized on carbon fiber paper (CP) by an ultrafast, facile, and controllable technique through on-step cyclic voltammetry, serving as a superior self-supporting catalytic electrode for the high-performance glucose sensor.
Results
The direct growth of free-standing Cu-Co-Ni-S on the interconnected three-dimensional (3D) network of CP boosted the active site of the composites, improved ion diffusion kinetics, and significantly promoted the electron transfer rate. The multiple oxidation states and synergistic effects among Co, Ni, Cu, and S further promoted glucose electrooxidation. The well-architected Cu-Co-Ni-S/CP presented exceptional electrocatalytic properties for glucose with satisfied linearity of a broad range from 0.3 to 16000 µM and ultrahigh sensitivity of 6829 µA mM− 1 cm− 2. Furthermore, the novel sensor demonstrated remarkable selectivity and storage stability, which could successfully evaluate the glucose levels in human serum. Notably, the novel Cu-Co-Ni-S/CP showed favorable biocompatibility, proving its potential for in vivo glucose monitoring.
Conclusion
The proposed 3D hierarchical morphology self-supported electrode sensor, which demonstrates appealing analysis behavior for glucose electrooxidation, holds great promise for the next generation of high-performance glucose sensors.
Quantitative Research of Street Interface Morphology in Urban Historic Districts:A Case Study of West Street Historic District,Quanzhou
Authors: Huang Kai , Kang Peiran , Zhao Yang 
Published: February 2024

Abstract
Historic districts intertwine various elements of historical heritage, cultural significance, social relations and daily activities, and have significant research value. Through a review of previous literature, it can be observed that research on the conservation and renewal of historic districts often focuses on the overall planning and development of macro-level district. Recognizing the scarcity of quantitative studies on spatial morphology at the meso level, this paper introduces a quantitative methodology applicable to historic streets. Utilizing Quanzhou City's West Street Historical and Cultural Neighborhood as a case study, it employs Aspect Ratio (D/H), Interface Density, and Build-To-Line Rate to describe and summarize street interface morphology, presenting transformative strategies for future protection and renewal. West Street's characteristics include: (1) horizontally, influenced by the Tang Dynasty's concept of "lining houses to form streets," it has a high Build-To-Line Rate and density, providing enclosure, limitation, and spatial continuity; (2) vertically, it displays diverse interface morphology with a moderate Aspect Ratio and rhythmic changes, maintaining visitor interest. The study validates the feasibility of this quantitative method and provides valuable insights for the conservation and renewal of historic districts.
A comparative analysis of non-communicable diseases (NCDs) risk among adolescents aged 12 to 18 in the Eastern Cape, South Africa, with regard to sex, school quantiles, and perceived stress
Authors: Avela Mathe , Gent Maya Maria Van , Niekerk Rudolph Leon Van 
Published: February 2024

Abstract
Background
Recent data indicated an increasing prevalence of non-communicable diseases (NCDs) among adolescents. Adolescents are particularly susceptible to developing NCDs due to various risk factors such as hypertension, high cholesterol, blood glucose levels, Body Mass Index (BMI), poverty, and physical inactivity. Thus, it is crucial not only to identify risks for NCDs, but also to propose effective and sustainable intervention measures, necessitating an understanding of specific demographic and geographic risk factors. However, the existing literature on NCDs risk factors among adolescents remain limited in South Africa. Therefore, this study aimed to compare adolescents aged 12 to 18 years who are at risk for NCDs, with those who are not at risk, considering sex, school quintiles, and perceived stress.
Methods
The study involved 266 adolescents (aged 12–18) selected through stratified random sampling from seven schools in two Eastern Cape districts. It assessed anthropometric and physiological measurements, along with perceived stress. Descriptive statistics summarized data, independent samples t-tests compared groups, and Chi-square analyses explored associations. Logistic regression predicted relationships between physiological factors, sex, quintiles, and perceived stress levels.
Results
The majority of physical and physiological assessments fell within normal ranges, except for females' BMI (24.52 ± 6.11), classifying them as overweight. Approximately 74% of female adolescents exhibited one or more NCD risk factors, with 61.8% of at-risk adolescents originating from disadvantaged schools (lower quintile schools). Perceived stress did not differ significantly between adolescents at risk and those not at risk, however, females at risk for NCDs had significantly higher perceived stress than their male counterparts. Physiological NCD risks, were found to be more prevalent among females attending lower quantiles schools, making them 4 times more likely to develop NCDs.
Conclusion
The findings emphasized the heightened risk of NCD development among females. Female adolescents also displayed elevated levels of perceived stress, with a noteworthy observation that adolescents from urban schools exhibited high levels of perceived stress. Recommendations to address these findings, include specific strategies that focus on reducing risk factors for this specific population.
Unveiling Protein Sequence Patterns for 3D-domain swapping in Medicinal Plants with improved K-Means Clustering approach
Authors: Pandey Aakanksha , Upadhyay Atul Kumar 
Published: February 2024

Abstract
The phenomenon termed ”3D-domain swapping” occurs when two or more identical protein subunits relocate their secondary structure components, like strands or helices, to generate a different tertiary structure. This results in the creation of new protein-protein interactions and the formation of higher-order structures. This paper proposed an unsupervised computation approach for prediction of 3D-domain swapped cases by using various medicinal plant based protein sequence. Preparation of suitable data set is one of the crucial step for which Principal component attribute transformer (PCAT) and Percentile split (PS) have been used as a data mining technique followed by various attribute selection methods. To prepare the data set 11 impactful new attributes have been augmented in previously selected 39 attributes. To identify the groups of 3D-domain swapped protein with similar attributes an unsupervised algorithm modified K-Mean was implemented. In which curated 81 protein sequence with 4050 instances have been used and achieved 3 clusters for top ranked attributes. To measure the effectiveness of the proposed method Model-driven multivariate control chart (MDMCC) was applied with out of control point 3 along with the Within-cluster sum of square error (WCSSE) which ranges from minimum parameter value 0 to maximum parameter value up to 1.25. In-depth examination of generated clusters allows identifying the plants with desirable medicinal qualities and accelerates the decision-making process for possible plant candidates for pharmaceutical development. It also leads to the discovery of functionally related genes or biological pathways.
Prevalence, awareness, treatment-seeking behaviours and its implications in the control of malaria in Dumbu community, Donga-Mantung Division
Authors: Echi Ebanga , Calvin Ebai Bissong , Purity Awah , Antoine Kada Sanda 
Published: February 2024

Abstract
More than 90% of deaths due to malaria occur in sub-Saharan Africa where it kills a child below five years every 30 seconds. In Cameroon, malaria accounts for 40-45% of medical consultations, 57% of hospitalization and 40% of mortality among children below 5 years. The aim of this study was to determine the prevalence of malaria, assess the malaria awareness level, the treatment seeking behaviours, and its implications on the prevalence of malaria in the Dumbu community. Questionnaires were administered to inhabitants of Dumbu. The respondents’ consents were sought and those who could not read, write or understand English language were communicated to in the local ‘kemezung’ dialect. Blood samples were collected by finger pricking using sterile lancets and blood films prepared on well labeled glass slides. The dry blood films were stained using 10% Giemsa staining solution for 10 mins. Data was collected were later analyzed using SPSS. Out of the 385 persons screened, malaria was recorded in 107 persons (27.8%). Those in the age group 11-25 years old were the most infected with malaria prevalence of 32.3% (41/127) while those in the age group ≥50 years recorded the least prevalence [19.3% (11/57)] and the difference was not significant (χ2 =3.716, p=0.294). Yaounde quarter recorded the highest prevalence 32.7% (35/107) and the male were more infected than females. On awareness level, they have heard of malaria and knew its causal agent to be an infected mosquito, 48.3% considered fever as the sign of the infection. Sixty-nine-point 8 percent (69.8%) of the population rushes to the Health centre for treatment while 5.6% prefers herbal treatment. Malaria is still a health challenge in this area and people infected should be advised to seek treatment, whenever they have malaria from a health facility to ensure that the treatment given is appropriate.
Childhood pseudotumor cerebri syndrome: demographics, clinical features and optical coherence tomography utilization as a new method for diagnosis, treatment efficiency and follow up
Authors: Çiftçi Burcu Daldaban , Gümüş Hakan , Sevim Duygu Gülmez , Canpolat Mehmet , Gümüş Ümmügülsüm Özgül , Çiftçi Murat , Kumandaş Sefer , Per Hüseyin 
Published: February 2024

Abstract
Aim The aim of this study is to evaluate the demographic data, treatment efficacy, optical coherence tomography (OCT) results used for the diagnosis and follow-up of patients with pseudotumor cerebri syndrome (PCS) followed up in our pediatric neurology clinic between 2014 and 2019.
Methods: We included children aged <18 years with or without bilateral papilledema detected on initial examination and cerebrospinal fluid (CSF) opening pressure of >26 cm/H2O in lumbar puncture. Patient data were obtained retrospectively from hospital records.
Results: Retinal nerve fiber layer (RNFL) thickness increased significantly in OCT as CSF pressure increased. Further, RNFL thickness measured before and after treatment differed significantly. When the pretreatment body mass index and RNFL thickness of primary and secondary PCS cases were compared, it was found that RNFL thickness of obese patients was lower than that of non-obese patients.
In conclusion, we suggest that OCT, which is an easy-to-apply and reliable test that has recently become widely used in pediatric PCS, should be used in the diagnosis of PCS, evaluation of treatment efficacy, and follow-up.
Intraoperative Magnetic Resonance Imaging in Glioma Surgery: A Single-center Experience
Authors: Mirzayeva Leyla , Uçar Murat , Kaymaz Ahmet Memduh , Temel Esra 
Published: February 2024

Abstract
Purpose
To investigate the effect of intraoperative magnetic resonance imaging (Io MRI) on overall and progression-free survival (OS and PFS), on the extent of resection (EOR) in patients with glioma, and impact of the radiological diagnosis on the decision to continue the surgery when a residual mass was detected on Io MRI.
Methods
The study comprised 153 glioma patients who received surgical treatment between 2013 and 2023. One-hundred twenty-five of them had Io MRI guidance during surgery. The remainder 28 patients constituted the control group who did not undergo Io MRI. All patients' age at surgery, gender, initial radiological diagnosis, primary tumor localization, EOR, last histopathological diagnosis, and the follow-up periods were recorded.
Results
The rate of tumor recurrence in Io MRI cases was significantly lower compared to the cases in the control group (p < .0001). It was decided to continue the operation in 45 Io MRI applied cases. This raised the gross total resection (GTR) rate from 33.6–49.6% in the Io MRI group. The frequency of GTR was significantly higher in patients with an initial radiological diagnosis of low grade glioma than those with high grade glioma. The shortest OS was seen in occipital gliomas.
Conclusion
In this study, the convenience provided by the high-field MRI device was explored and proven both in reducing the tumor burden, increasing the PFS, and providing the surgeon with a maximal resection in the first operation.
Bridge crack data mapping and modeling based on UAV and BIM: Towards bridge applications
Authors: Gan Linfeng , Liu Hu , Shi Tengfei , Tang Xuliang , Wang Linfeng 
Published: February 2024

Abstract
Traditional inspection of bridge surfaces is often inefficient and requires inspectors to inspect in high-risk areas. For the time being, Unmanned Aerial Vehicles (UAVs), as an efficient and safe means of inspection, can be equipped with high-definition cameras, and are utilised for data collection in unmanned inspections, especially in areas that are difficult for people to reach. However, how to manage the crack data obtained from UAV and machine learning recognition is still a problem. In addition, bridge modelling (BIM) based on geometric and semantic information can be applied to the inspection of bridge surfaces. To this end, this paper proposes a method for detecting and modelling bridge defects based on UAV and BIM, that is, a method for managing bridge defects by automatically identifying and locating the defect data by combining the images acquired by the UAV, which can be combined with machine vision techniques, mapping and modelling the defect data to BIM, and modelling defects from BIM as objects. Firstly, the bridge defect images captured by UAV are processed and some useful data such as coordinates are extracted from them. In this paper, a simplified coordinate method is proposed to convert the locations of the defects existing in the actual project into the coordinates in the BIM model. Meanwhile, on this basis, this paper utilises machine vision-based bridge crack detection, which is used to detect defects in the captured images and perform feature extraction on them. Finally, by modelling the identified defects, a new object with detailed information is obtained and mapped to the corresponding location in the BIM. The effectiveness of this approach is demonstrated by analysing the example of the Martyrs River Bridge. The study will be applied to combine the defects of the bridge with the BIM model, which will combine the existing state and the data from the BIM in order to perform structural inspections during the repair process.
Silymarin promotes wound healing through regulating epithelial-mesenchymal transition in rat model: Histopathological and immunohistochemical evidences
Authors: Aslan Esra , Demirel Hasan Hüseyin , Güzel Hilal , Yüksel Yasemin , Aladağ Tuğçe , Pektaş Mehmet Bilgehan 
Published: February 2024

Abstract
The wound is the disruption of the normal structure, integrity, and function of the skin and subcutaneous tissue. It is known that current wound management strategies applied in the treatment of acute and chronic wounds both cause an increase in health costs and do not achieve the desired level of success. Therefore, more effective and easily applicable treatment methods are needed. However, the therapeutic effects of Silymarin (SM) on wound healing are still unknown. In this study, the effects of SM were investigated by comparing it with dexpanthenol (Dxp), whose favorable effects on wound healing are known. Sham, Dxp, and SM groups were formed and the effects of the drugs were investigated immunohistochemically on the 5th, 10th, and 15th days in rats. Based on histological and immunohistochemical results, SM and Dxp enhanced epithelialization and reduced inflammation more than the sham group. Furthermore, there was no significant difference in the effects on the epithelial-mesenchymal transition between SM and Dxp. Results indicated that SM is a useful therapeutic agent at least as much as Dxp in wound healing. The wound re-epithelization and anti-inflammatory effects of SM may be a new approach to the treatment of wound healing.
EEG Signals Unveil Distinct Sex-Specific Patterns in Human Cohorts with Limited Implications for Pathological Diagnosis
Authors: Bayazi Mohammad Javad Darvishi , Ghaemi Mohammad Sajjad , Faubert Jocelyn , Rish Irina 
Published: February 2024

Abstract

Early detection and diagnosis of pathology are essential for efficient treatment and therapeutic interventions. The emergence of Artificial Intelligence (AI) and deep machine learning techniques have demonstrated the promising capability of brain imaging data to predict various pathological diseases. However, plenty of diseases have unbalanced distribution across different sexes. Furthermore, the impact of sex-specific patterns and biomarkers in predicting diseases has remained unexplored as a fundamental subject matter to inform the treatment paradigms. This paper underscored the generalization and transferability of sex-related patterns in functional data, specifically Electroencephalogram (EEG) signals through Artificial Neural Networks. The training process was carried out on a broad spectrum of EEG recordings involving participants ranging from 221 to 12,000, spanning healthy and pathological subjects—our evaluation benefits from datasets with varied sources and participant groups featuring different distribution shifts. While the artificial models exhibit accurate sex detection on datasets without fine-tuning, performance diminishes with significant distribution shifts. Additionally, we investigated the relationship between sex and pathology by visualizing important features for target detection in distinct subgroups. This revealed unprecedented insights into the negligible role of sex-specific patterns on pathology detection, notwithstanding the salient and consistent patterns within sex groups.
Squid Ink Polysaccharides inhibit TSLP expression via the Piezo 1-Ca2+-NFAT1 signaling to ameliorate Atopic Dermatitis
Authors: Wen Xiujuan , Liu Xinyan , Deng Qirui , Huang Hao , Zhou Xin , Li Jiayi , Tang Hongfeng 
Published: February 2024

Abstract
Atopic dermatitis (AD) is a chronic and recurrent inflammatory dermatosis with a growing global prevalence. Its etiopathogenesis involves genetic, immunologic, and environmental factors. Similar to other chronic inflammatory diseases, oxidative stress plays a significant role in its pathogenesis. Squid ink polysaccharides (SIP), the primary components derived from squid ink, have demonstrated beneficial effects in terms of antioxidative properties and immune system enhancement. Nevertheless, the exact impact of SIP on specific cytokines associated with AD remains uncertain. We presented empirical data demonstrating that SIP possesses the capacity to modulate the production of epidermal-barrier-proteins, namely filaggrin (FLG) and involucrin (IVL), within keratinocytes when stimulated by tumor necrosis factor-alpha (TNF-α) and interferon gamma (IFN-γ). Additionally, SIP exhibited noteworthy anti-inflammatory properties on thymic stromal lymphopoietin (TSLP) and interleukin 8 (IL-8). Concurrently, the utilization of SIP exhibited supplementary effectiveness in alleviating AD-like cutaneous symptoms induced by 2,4-dinitrochlorobenzene, encompassing the reinstatement of the epidermal barrier, diminution of immune cell infiltration, and suppression of inflammatory cytokines in murine subjects. These in vivo outcomes were consistent with the observed reduction in TSLP levels, which was accomplished through the Piezo 1-Ca2+-NFAT1 signaling pathway. Considering these cumulative discoveries, SIP emerges as a promising therapeutic contender for the management of AD.