bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economic Efficiency Analysis of Rice Production in Fogera District, South Gondar Zone of Amara Regional State, Ethiopia
Authors: Abate Tadesse Wudu , Ali Mohammed Yimam , Ayele Getachew Abebaw , Sitotaw Khalid Wendimnew 
Published: April 2023

Abstract
The study examined the level of efficiency of rice producers and investigates the determinants of allocative and economic efficiency in Fogera district of Ethiopia. for the successful accomplishment of the study, we use multistage sampling technique to select 153 rice producers and data had been collected using interview and questioners for 2018 production season. The mean technical, allocative and economic efficiencies were 79%, 86% and 68% respectively. The estimation result from Tobit regression result revealed that age and sex were the variables that affect allocative inefficiency positively and significantly while education and experience influences allocative inefficiency negatively and significantly. Similarly economic inefficiency was positively and significantly influenced by age, sex and extension service while training affects economic inefficiency negatively and significantly. Thus, the researcher recommended policies targeting institutional improvements (training, education and membership of farmer associations) and focusing on experience of farmers would improve farmer’s efficiency in rice production.
Human induced pluripotent stem cell culture on a non-coated dish using medium supplemented with milk fat globule epidermal growth factor 8
Authors: Nakashima Yoshiki , Tsukahara Masayoshi 
Published: April 2023

Abstract
We propose a method of conditioning medium for non-coated dishes of human induced pluripotent stem cells (hiPSCs) by adding milk fat globule epidermal growth factor 8 (MFG-E8) (1-2 μg/mL) and 5%-10% gelatin solution (1.0 mg/mL) to medium (MFGE8-G). hiPSCs cultured in MFGE8-G StemFit Ak03 and CTS Essential 8 Medium showed cell adhesion. In a multiomics analysis, hiPSCs cultured in MFGE8-G showed an elevated expression of integrins, especially integrin α5β1. The expression of polo-like kinase 1 (PLK1), a cell cycle-regulating serine/threonine kinase, and mitogen-activated protein kinase kinase was increased in hiPSCs cultured on iMatrix-511. An mRNA expression analysis of histone methyltransferases and demethyltransferases revealed that hiPSCs cultured in MFGE8-G had an increased expression of SET And MYND Domain Containing 2, a methyltransferase for H3H4 and H3K36, and EZH2, a methyltransferase for H3K27. Conversely, the expression of H3K9, H3K20, and H3K36 demethylases was generally higher in hiPSCs cultured on iMatrix-511. A master regulation analysis revealed that integrin α5β1, fibroblast growth factor receptor, and protein phosphatase 1 were activated in hiPSCs cultured in MFGE8-G. The hiPSCs cultured on iMatrix-511 showed upregulated Mitogen-activated protein kinase 2 and the DNA checkpoint protein Cdc25. hiPSCs cultured on MFGE8-G demonstrated integrin-mediated cell adhesion of MFG-E8 with gelatin.
Epidemiology, clinical characteristics and risk factors for severity of chronic disseminated candidiasis in Jerusalem
Authors: Cohen Nerel , Orenbuch-Harroch Efrat , Olshtain-Pops Karen , Lachish Tamar , Korem Maya 
Published: April 2023

Abstract
Chronic disseminated candidiasis (CDC) occurs mostly in patients with acute hematologic malignancy and its clinical manifestations derive from immune reconstitution following neutrophil recovery. The aim of this study was to describe epidemiological and clinical characteristics of CDC and define risk factors for disease severity. Demographic and clinical data were collected from medical files of patients with CDC hospitalized in two tertiary medical centers in Jerusalem between 2005 and 2020. Associations between different variables and disease severity were evaluated, as well as characterization of Candida species. The study included 35 patients. CDC incidence increased during study years and the average number of involved organs and disease duration was 3 and 178 days, respectively. Candida grew in blood in less than third of cases and the most common isolated pathogen was Candida tropicalis (50%). Histopathological or microbiological workup in patients who underwent an organ biopsy demonstrated Candida in about half of the patients. Nine months after starting antifungals, 43% of the patients still didn't have resolution of organ lesions in imaging modalities. Factors associated with protracted and extensive disease were prolonged fever prior to CDC and absence of candidemia. A CRP cutoff level of 7.18 mg/dL was found to predict extensive disease. In conclusion, CDC incidence is increasing and the number of involved organs is higher than previously described. Clinical factors such as fever duration prior to CDC and absence of candidemia can predict severe course of disease and assist in treatment decisions and follow-up planning.
Niosomal Curcumin Inhibited Gliomagenesis-Related Markers in U87 Cell Line
Authors: Tondro Gholamhossein , Mohammadi Ali , Rajabzadeh Ghadir , Moradi Hamid Reza , Negah Sajad Sahab 
Published: April 2023

Abstract
Glioblastoma multiforme (GBM) is an extremely aggressive primary brain tumor that is characterized by a poor prognosis. Here, we aimed to investigate the effects of curcumin-loaded niosome nanoparticles (CM-NP) in comparison with free curcumin (CM) on U87 MG, a glioblastoma cell line. Both CM and CM-NP caused a time- and dose-dependent decline in the cell proliferation of U87 MG. Our findings indicated that the percentage of apoptotic cells in the CM group were 11.49 and 84.42 at 24 and 48 hours, respectively. On the other hand, the percentage of late apoptotic cells significantly increased from 47.23 at 24 h to 95 at 48 h in the CM-NP group. Annexin/PI staining of U87 MG cells treated with CM-NP at the IC50 concentration uncovered that most cells were in the apoptotic cell death mode. In addition, the migration of U87 MG cells assessed by the stretch model was significantly inhibited by CM-NP compared to the CM group. Our data also indicated that CM-NP could significantly increase reactive oxygen species (ROS) compared with CM. Surprisingly, CM-NP exerted significant anti-tumor activities by inhibiting the production of IL1β and TGFβ and decreasing the expression of NFκ-B and STAT3 at the mRNA levels compared to the CM. Overall, CM-NP showed anti-GBM activity in the U87 cell line by increasing apoptotic cell death, and ROS production as well as decreasing the expression of tumor progression-related markers. Therefore, our results suggest that CM-NP may be a promising nano-drug candidate for treatment in the field of GBM therapy.
Clinical study of modified INFIX combined with sacroiliac joint screws for pelvic instable injuries
Authors: Zhao Peishuai , Li Renjie , Liu Leyu , Wang Xiaopan , Chen Xiaotian , Guan Jianzhong , Wu Min 
Published: April 2023

Abstract
Objective The INFIX technique is becoming one of the most commonly performed surgical procedures for anterior pelvic ring instability injuries. The purpose of this article is to compare the clinical outcomes of modified anterior subcutaneous internal fixation (M-INFIX) with conventional anterior subcutaneous internal fixation (C-INFIX) for anterior pelvic ring instability injuries.Patients and Methods: A retrospective analysis of 36 cases of unstable pelvic injuries treated operatively at our institution, 20 of which were treated with conventional INFIX and 16 with modified INFIX. Data collected included age, gender, ISS score, fracture typing, operative time, operative bleeding, postoperative complications, fracture healing time, Matta score, Majeed score, and follow-up time. Statistical sub-folding of each variable between the two groups was performed.Results There was no statistical difference between the C-INFIX and M-INFIX groups in terms of age, gender, ISS score, follow-up time, fracture typing, fracture healing time, and Majeed score (P > 0.05). the M-INFIX had a significantly lower incidence of postoperative complications than the C-INFIX group, especially in the incidence of Lateral femoral cutaneous nerve (LFCN) injury (P < 0.05). In contrast, the M-INFIX group had statistically higher operative time, intraoperative bleeding, and Matta score than the C-INFIX group (P < 0.05).Conclusion This study was based on a modified application of the surgical experience with conventional INFIX and showed better clinical outcomes in terms of complication rates and quality of repositioning than the conventional surgical approach. These findings indicate that further analytical studies of this study would be valuable.
A novel SVM Kernel Classifier Technique using Support Vector Machine for Breast Cancer Classification
Authors: Ghantasala G S Pradeep , Raparthi Yaswanth , B Venkateswarulu Naik. , Al-Rasheed Amal , Alqahtani Mohammed S. , Abbas Mohamed , Soufiene Ben Othman 
Published: April 2023

Abstract
Breast cancer prediction is an important topic in the field of healthcare. Breast cancer is one of the most common cancers in women and early detection is critical for successful treatment. There are several methods for predicting breast cancer, including imaging studies, genetic testing, and risk assessment models. Early detection can greatly improve the chances of successful treatment and long-term survival. One approach to detecting breast cancer is to use machine learning algorithms such as support vector machine (SVM) classifiers. SVMs are a popular type of supervised learning algorithm that can be used for classification or regression analysis. To use SVMs for breast cancer classification, you need to first prepare the data by dividing it into training and testing sets. The training set is used to train the SVM model, and the testing set is used to evaluate the performance of the model. The SVM model learns to classify the data by adjusting the parameters of the kernel function. In this paper, the performance of Linear, Polynomial, Gaussian and Sigmoid machine-learning kernels in the Support Vector Machine method was investigated to determine which kernel classifier is better at diagnosing breast cancer. In addition, this study made usage of the Wisconsin Breast Cancer (Diagnostic) dataset that contains 569 occurrences and 32 features for analysis. The major objective of this study is to compare a variety of kernel classifiers to identify the one that provides the best accuracy. Linear kernel support vector machine was shown to have the highest accuracy (97.90%) and lowest false discovery rates in this investigation. In contrast, other kernels and classification algorithms show low performance, which may not be more accurate in breast cancer prediction.
Epidemiological characterization of hormonal receptor profiles and associated histopathological characteristics in Rwandan women with breast cancer: a retrospective study
Authors: Musanabaganwa Clarisse , Mazarati Jean Baptiste , Ruhangaza Deogratias , Nsabimana Nicaise , Kayitare Emmanuel , Muvunyi Thierry Zawadi , Semakula Muhammed , Ntirenganya Faustin , Emile Musoni , Ndoli Jules , Hategekimana Elisee , Nassir Angus , Makhoha Francis , Uwimana Aline , Gasana Joel , Munezero Pierre Celestin , Nyirazinyoye Laetitia , Muvunyi Claude Mambo , Mutesa Leon 
Published: April 2023

Abstract
Background Breast cancer is the most common cancer in women worldwide and the second leading cause of cancer mortality in Rwanda. The knowledge of hormonal receptors and Human Epidermal growth factor Receptor − 2 (Her-2/Neu) profile remains crucial in the management of breast cancer, even in this –omics era. However, Immunohistochemistry staining and practice remains scarce in many hospital settings, especially in LMICS including Rwanda. This study aimed at determining the distribution of breast cancer molecular subtypes, and associated clinical outcome in Rwandan women.Methodology This study combined method consisting of an initial hospital-based epidemiological retrospective design to document the epidemiological data for breast cancer patients in Rwanda from January 2014 to June 2021. Records of patients with confirmed breast cancer were documented from 4 cancer centers of excellence in Rwanda.Results A high number of participants expressed estrogen receptor positive (55.6%) and HER2 was the lowest expressed receptor (33.1%). The triple negative breast cancer (TNBC) was more prevalent (37%), followed by luminal A (26%), HER2-enriched (24%) and luminal B (13%). These subtypes were found significantly different with regards to menopausal status, histological grades and hormonal therapy (p < 0.0001).Conclusion This study revealed that patients who got treatment, especially hormonal therapy have much more chances of living than those who haven’t gone under treatment. Moreover, aggressive histological type and grade were also overexpressed. These suggest the introduction of other targeted therapies, and inclusion of ‘omic’ technologies necessary to individual characteristics of molecular landscape to manage breast cancer patients, especially TNBC patients. Future research on genetic characterization using genomic sequencing will shed light on the associated variant genes for breast cancer personalized medicine.
Diversity of true bugs (Hemiptera: Heteroptera) on common ragweed (Ambrosia artemisiifolia) in southern Slovakia
Authors: TOTH PETER , KRCHŇAVÁ Veronika , TÓTHOVÁ Monika 
Published: April 2023

Abstract

Common ragweed (Ambrosia artemisiifolia Linnaeus 1800) is an exceptional invasive species. Information on true bugs occurring on ragweed plants is limited in the invasion region. The objective of this study was to determine the species composition of Heteroptera associated with A. artemisiifolia, assess their vectoring potential based on a literature review, and compare species similarity on the surveyed fields. Field surveys were conducted in 2020–2021 at 10 sites in southern Slovakia. Sweeping and visual observations were conducted in field margins, weedy agricultural fields, and mowed meadows infested with A. artemisiifolia. As part of the study, food specialization, abundance of each species, and their assignment to families were determined in detail. The Jaccard similarity index was used to evaluate the similarity of species composition among the sites studied. A total of 2,492 true bugs were recorded, representing 47 species of Heteroptera from 12 families. The most common phytophagous species were Nysius ericae ericae (Schilling 1829) (Pentatomomorpha, Lygaeidae), Adelphocoris lineolatus (Goeze 1778), Lygus rugulipennis (Poppius 1911), Lygus pratensis (Linnaeus 1758) (Cimicomorpha, Miridae), and a zoophagous species Nabis (Dolichonabis) limbatus (Dahlbom 1851) (Cimicomorpha, Nabidae). The similarity of species in paired localities was low, with highly migratory and polyphagous species dominating, able to cross the field from the adjacent landscape. A. artemisiifolia is a known host for plant viruses and phytoplasmas, and several Heteroptera species are carriers of these plant pathogens. Halyomorpha halys was the only detected carrier of phytoplasmas, and its abundance on A. artemisiifolia was extremely low.
Nutritional risk and lactate dehydrogenase: prognostic value for mortality and nosocomial infections in COVID-19 patients with respiratory distress syndrome.
Authors: Vinueza-Ortiz Diana , Gutiérrez-Salmeán Gabriela , Hernández-Ortega Marcela , Baldeón Manuel , Inda-Icaza Patricia 
Published: April 2023

Abstract
Background: In severe SARS-CoV-2 infection, lactate dehydrogenase (LDH) may be used to assess severity and mortality in patients with respiratory distress due to COVID-19. Thus a new nutritional screening index is proposed: the NUTRIC Score-LDH, which combines the prognostic value of the mNUTRIC Score and LDH to timely identify patients with a higher risk of malnutrition and contribute to the restoration of health through adequate nutrition support.
Objective: The purpose of this study is to analyze the prognostic value of the combination of the mNUTRIC score with LDH to assess the risk of mortality and the development of infections in patients with COVID-19.
Methodology: A prospective observational study was performed in patients infected with SARS-CoV-2 who presented respiratory distress syndrome. Chi-squared test (X2) was performed to identify the association among indicators of nutritional risk (mNUTRIC Score and the mNUTRIC Score-LDH), mortality and the presence of infections.
Subsequently, prognostic values were determined and a Cox regression analysis was used to identify the risk of mortality adjusted for age, sex, body mass index, history of type II diabetes mellitus, arterial hypertension, and immunization for COVID-19.
Results: A total of 257 patients participated, 63.8% were male. Mortality reached 38.1% (89). In terms of nutritional risk, 31.9% (82) had a high NUTRIC Score-LDH. The relative risk of a high mNUTRIC Score-LDH in terms of mortality was 4.578 p<0.0001 with a 95% confidence interval (3.226-6.496), while a high mNUTRIC Score had a risk of 3.86 p<0.0001 with a 95% confidence interval (2.92-5.03). mNUTRIC Score-LDH, has a sensibility of 0.80 and a specificity of 0.82 versus mNUTRIC Score with a sensibility of 0.56 and a specificity of 0.95.
Conclusions: The NUTRIC Score-LDH is a valid indicator of the risk of mortality in patients with COVID-19 and respiratory distress syndrome who are at high risk of malnutrition.
Flower Pollination Optimization Algorithm with Stacked Temporal Convolution Network based Classification for financial anomaly Fraud Detection
Authors: N Krishnavardhan , M Govindarajan , S.V Achutha Rao 
Published: April 2023

Abstract
As internet use increases dramatically, an increasing number of industries, including the financial one, are operationalizing their services online. Due to the significant financial losses they cause, financial fraud is becoming a big issue as it spreads globally and grows in both volume and variety. Financial fraud detection systems should be used to identify dangers like unauthorized access and erratic assaults. During the last several years, this problem has been extensively addressed using machine learning and data mining approaches. These methods still need to be developed in order to cope with massive data, compute quickly, and spot new attack patterns. As a result, in this research, a deep learning-based approach based on the stacked temporal convolution network technique is provided for the identification of financial fraud. This model aims to improve both the efficiency and accuracy of existing detection methods in the context of large data. In addition, a flower pollination optimization process is incorporated for feature selection, which addresses any side effects that may result from choosing the best features. An actual dataset of credit card, loan, and insurance frauds is used to assess the proposed model, and the results are contrasted with those of current deep learning methods. The experimental results show that the suggested FPO_QCNN achieves 99.95%, 99.95%, 99.95% of accuracy for credit card, insurance and Mortgage Data set.
Interferon-stimulated gene GBP1 protects SMN2 from degradation
Authors: Xu Min , Lin Miaochun , Liu Jie , Zuo Juan , Li ZhaoHui 
Published: April 2023

Abstract
Spinal muscular atrophy (SMA) is lethal autosomal recessive disease of muscle due to the pathogenic variations of the survival motor neuron 1 (SMN) encoding the motor neuron (SMN1, MIM#600354). The mutations of SMN result in insufficient full-length of SMN protein, which leads to muscle atrophy and even respiratory involvement. No effective treatments are currently available. The SMN2 gene is a regulator of the phenotype and its copy number is associated with the severity of disease. Previous studies have demonstrated that the interferons and IRF-1 induce the expression of SMN. In the current study, we found that patients with more copies of SMN2 had higher levels of GBP1 in peripheral blood and the stability of SMN2 protein was better with the presence of guanylate-binding protein 1(GBP1). Therefore, the IFN-γ-induced GBP1 protects SMN2 from degradation. Our findings provided new insights into the treatment of SMA.
Relationship of adaptive expertise of health professions educators with age, experience, academic rank, and their work performance during an altered academic environment
Authors: Jayawardena Chantha K , Groenier Marleen , Nawarathna Lakshika S. 
Published: April 2023

Abstract

Background
Health professionals and health professions educators (HPEs) worldwide had to confront with the COVID-19 pandemic, which disrupted standard practice and forced HPEs to come up with creative, alternative modes for training and education. The ability of people to work successfully and efficiently in non-standard situations can be called adaptive expertise in which people quickly overcome changes in work requirements using their expert knowledge in novel ways. The objectives of the study were to investigate how the adaptive expertise of a group of HPEs influenced perceived work performance in a non-standard situation and to see whether there were any relationships between adaptive expertise and academic ranking and work experience of HPEs.
Methods
A descriptive, cross-sectional, single-site study was conducted using a self-reported study tool about adaptive expertise developed by Carbonell et al. (2016) and three questions about work performance, amount of work done and teaching quality. The sample consisted of HPEs from the University of Twente, Netherlands.
Results
Among 123 eligible participants, 40 individuals completed the survey. Kaiser-Meyer-Olkin and Bartlett's Test of Sphericity indicated the adequacy of the sample size (KMO= 0.633, P<0.0001). Participants were lecturers, senior lecturers, assistant professors, associate professors and full professors. The Cronbach alpha value was 0.72, which measures the internal reliability of the tool. The average adaptive expertise score of the sample was 4.18±0.57 on a scale from 1 (low) to 5 (high). Professors showed higher adaptive expertise scores than the other ranks. Statistically significant correlations were found between scores of adaptive expertise and perceived work performance (ρ = 0.56, p < 0.001) and academic ranking (ρ = 0.35, p < 0.01). However, the adaptive expertise score was not associated with work experience or HPEs' age.
Conclusions
Our finding of a lack of relationships between self-reported level of adaptive expertise and experience and age but significant relationships with work performance and academic ranking of HPEs suggests that adaptive expertise is not auto-generated or acquired with seniority and experience automatically but is a skill that should be developed deliberately.