bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving the accuracy of Covid-19 disease diagnosis with an improved fuzzy chaotic forest algorithm, optimal feature selection and decision tree
Authors: Motedayen Tahere , Yaghoobi Mahdi , Kheirabadi Maryam 
Published: February 2023

Abstract
Covid-19 is a new viral disease that spread in 2019 and turned into a pandemic over time. Due to its unknown nature, this disease caused a lot of human and financial losses in the current world. Several approaches were proposed to diagnose and apply medical care; One of the approaches that were more welcomed according to the results was the methods based on artificial intelligence. In the methods of artificial intelligence, various methods such as image processing, machine learning, etc. are used. Considering that in pandemic diseases, the number of patients is high and medical imaging is not without complications; Therefore, the use of clinical data and data mining techniques can be a suitable method in this field. But it should be kept in mind that in using data mining approaches, the lack of proper selection of features can hurt the analysis. Feature selection can be defined as the process of identifying relevant features and removing irrelevant and repetitive features to observe a subset of features that describe the problem well and with minimal loss of efficiency, and its purpose is to optimally select a subset of features with minimal redundancy and the maximum resolution ability. Therefore, the data mining process should pay attention to feature selection. In this article, a new method based on feature selection was proposed to increase the precision of the diagnosis of covid-19 disease. In the proposed method, we have used the fuzzy-chaotic forest optimization algorithm to select features that are effective on the covid-19 disease. This article has used four data sets collected by researchers of other scientific articles to evaluate the proposed method of diagnosing the disease of covid-19. The results of the evaluation in the important indicators of machine learning (precision, accuracy, recall and F1) show that in Comparing with similar algorithms, the proposed method provides better results and by increasing the accuracy of diagnosis, it can better diagnose the disease of Covid-19 In such a way, it improves the precision of diagnosis by 2% and reduces the dimensions of the diagnosis problem by 46%.
m5C related-regulator-mediated methylation modification patterns and prognostic significance in breast cancer
Authors: Wu Xinpei , Li Chenquan , Luo Yinyi , Ren Xiya , Cheng Chen , Zhang Guangwen , Wang Zhe , Wang Shiming 
Published: February 2023

Abstract
Background: Breast cancer (BC) is the most common malignancy worldwide. 5-methylcytosine (m5C) is closely related to cancer and its mechanism in BC remains unclear. We aimed to assess the expression of m5C regulators involved in BC and investigate their correlation with the prognosis of BC.
Methods: BC samples from TCGA and GEO databases were respectively analyzed as the training and testing sets, and identified their m5C modification patterns based on the differential expression of m5C-related regulators and construct an m5C scoring system. Subsequently, we evaluate the value of m5C modification in predicting prognosis, investigate the underlying pathways and functions associated with m5C modification, identify m5C modifications related to the infiltration of immune cells in the tumor microenvironment and assess the patients' potential response to pharmacotherapy based on m5C patterns.
Results: Three distinct m5C modification patterns were identified in the training dataset. Based on the m5C-related differentially expressed genes, the m5Cscore was constructed, and divided BC patients into high and low m5Cscore groups. Patients with a high m5Cscore had more abundant immune cell infiltration and better prognosis. However, a low m5Cscore was linked to an enhanced response to immunotherapy. Finally, the potential roles of the m5Cscore were validated in the testing dataset, and the results demonstrated the stability of the m5Cscore and its independent prognostic value.
Conclusions: This study revealed the m5Cscore is a potential tool for evaluating m5C modification patterns and immune cell infiltration in individual patients and has the potential to be a novel prognostic marker for BC.
Abnormal development of circular muscles in aganglionic segments of HSCR patients
Authors: Chen Ke , You Jingyi , Yang Shimin , Meng Xinyao , Chen Xuyong , Wu Luyao , Yu Xiaosi , Xiao Jun , Feng Jiexiong 
Published: February 2023

Abstract

Background
Hirschsprung’s disease (HSCR) is one of the most common malformations of the digestive tract. Patients with HSCR frequently manifest as having severe constipation and abdominal distension. The primary pathological feature of HSCR is the absence of ganglion cells in the distal bowel, and the arrangement of the circular and longitudinal muscles of the aganglionic segments is disorganized. To function properly, it requires an intact muscular layer as well as a neural network connection. Previous research has suggested that HSCR is a neurological disorder; however, HSCR may also be a muscular cell disorder of the intestinal smooth muscle.
Methods
To investigate the development rules of circular and longitudinal muscles and to research whether ENCCs affect smooth muscle function. αSMA immunohistochemistry was used to stain tissues of HSCR patients and HSCR model mice at different developmental stages.
Results
Under normal circumstances, the formation of circular muscles is later than that of longitudinal muscles, and the expression of αSMA in circular muscles is much lower than that in longitudinal muscles. The expression of αSMA in anganglionic segments of HSCR patients is much higher than that in the distal colon of normal control children.
Conclusions
Loss of ENCCs may influence the function of the circular muscles, αSMA is a biomarker for detecting the abnormal smooth muscle cell in Hirschsprung's disease patients' aganglionic segments.
The Mathematics Teacher at the Crossroads Between Indigenous Cultural and Exotic Games in Teaching Mathematics
Authors: Ali Clement Ayarebilla , Tangkur Michael 
Published: February 2023

Abstract
The issue of integrating indigenous games in Africa had long been conceived by Mogege David Mosimege in the 1990s. Of late, several countries and universities have introduced indigenous games into their curricula at all levels of education. However, with serious competition with the exotic education games, the mathematics teacher is still at the crossroads of integrating these games. One of the most challenging aspects is determining the games that best suit particular topics. The purpose of this study was to explore teachers' challenges in some selected topics and suggest ways best practices of resolving the impasses. Deeply rooted in Piaget constructivism, the phenomenological design was harnessed to address the purpose, objectives and research questions carved to guide the study. With a population of over 200 teachers, the researchers sampled 70 teachers (65 males, 5 females) through simple random sampling for the first stage. Five teachers, comprising three males and two females, were purposively sampled for the second stage. The semi-structured interview guide and an observation checklist were the instruments the researchers used to collect data. The data was analyzed thematically to reflect the research questions. The results of both stages showed that even though a good number of teachers cannot decided on any games and substantial number were still being influenced by the other cultural games, some teachers who selected the indigenous games yielded impact on students’ learning of mathematics. The four indigenous games, namely biloo, bilore, gollaa and mullaa were dominant. However, the observation checklist showed that many teachers are at serious crossroads of selecting indigenous games for the teaching of mathematics. It was therefore recommended that stakeholders reinvent teaching and learning through the integration of games and culture.
Association of Functional Health Literacy (FHL) with Socio-demographic Status and Physical Activity of Type 2 Diabetic Patients in Bangladesh: A Cross-sectional Study
Authors: Islam Md. Monirul , Hossain Syed Billal , Muhammad Faisal , Chowdhury ABM Alauddin , Khan Salim 
Published: February 2023

Abstract

Background
This study aimed to determine the level of functional health literacy (FHL) among type 2 diabetes patients and its relationship to their socio-demographic status and physical activity.
Methods
A cross-sectional study was undertaken. A semi-structured questionnaire including a short test of FHL was used to collect data from adult Type 2 Diabetic patients (n = 401) attending a diabetic center in Bangladesh. All participants were provided with a study information sheet and consent form. The study objective was the focus of the analysis, and so were the indicators. Data were analyzed using Fisher's exact χ2 test, bivariate and multivariate linear regression with a 95% Confidence Interval (CI) to evaluate the association among variables.
Results
Around 60% of participants were female, with the majority having completed elementary or secondary school. Both of these factors are shown to be very significant (P < 0.001) with level of FHL. The FHL level of the participants was revealed to be associated with walking as a means of regular physical exercise. More than one third of the respondents (33%) did not undertake regular physical exercise, whilst the remainder (68%) walked every day. A small proportion (11%) walked to work each day, and this had a strong correlation with their level of FHL (P < 0.001). Social Media interaction had a significant association with level of FDH (P < 0.001).
Conclusion
Increased functional health literacy among type 2 diabetes patients can significantly assist them to live a healthier lifestyle.
High coincidence rate of fluid identification of carbonate reservoirs in Yan'an gas field by gas logging bright spot -resistivity dark spot technology
Authors: Hu Dengping , Wang Rungang , Zhou Jintang , Wang Yan 
Published: February 2023

Abstract
The main gas layer of the Lower Paleozoic in the Yan'an gas field in the Ordos Basin is the carbonate rock of the Majiagou Formation, which is a low-porosity and low-permeability reservoir. Its storage space is mainly composed of intercrystalline pores, intercrystalline dissolved pores, dissolved caves and micro-fractures, with strong heterogeneity. The reservoir generally contains pyrite, which makes the resistivity value negatively abnormal, which interferes with the identification of low-resistivity fluids in the high-resistivity background. This leads to the failure of traditional logging interpretation methods and the low coincidence rate of reservoir interpretation. Through the statistical analysis of 240 drilling and gas testing data, the sensitive parameters of logging total hydrocarbon and logging resistivity are selected from many reservoir parameters. On this basis, after effective technical treatment, a “gas logging bright spot-resistivity dark spot technology” for carbonate reservoirs is formed. Through the field application and gas test results of 35 wells in Yan'an gas field in 2021, the interpretation coincidence rate is as high as 83%, which is much higher than the previous traditional method coincidence rate (44.3%). This study organically combines the advantages of mud logging and logging technologies, and establishes a reservoir interpretation chart and standard, which solves the long-standing problem of low coincidence rate in the identification of carbonate reservoir fluids in the geological community. An effective method for predicting favorable carbonate oil and gas areas is provided.
Therapeutic management of uterine tumors resembling ovarian sex cord tumors: Systematic Review
Authors: Shibahara Mami , Kurita Tomoko , Harada Hiroshi , Tsuda Yojiro , Hisaoka Masanori , Yoshino Kiyoshi 
Published: February 2023

Abstract
Objective:
Uterine tumors resembling ovarian sex cord tumors (UTROSCTs) are extremely rare, and most cases have a benign clinical course. We report the first review of treatment and prognosis, including a focus on fertility.
Methods:
We conducted a systematic review of UTROSCT case reports and case series in English till June 2022 and compared initial treatment and recurrence rates. The following was extracted: age; symptom; initial therapy; metastasis at diagnosis; recurrence.
Results:
In total, 122 cases (61 articles) reporting the clinical course of UTROSCTs were analyzed. The median age at diagnosis was 50.0 years, and 26 (21.3%) patients were aged < 40 years. Most patients (n=103) underwent hysterectomy as the initial surgery, with a recurrence rate of 19.4% (n=20). Recurrence occurred in 29.4% (n = 5) of patients who underwent mass resection (n=17). Among the patients, 13 were under 40 years of age, seven had achieved pregnancy (53.8%), and six had successful deliveries (46.2%).
Conclusion:
While total hysterectomy is the recommended treatment for UTROSCTs based on recurrence rates, mass resection as fertility-preserving surgery is an acceptable treatment option for patients who desire childbearing.
Formulation of a Gel Containing Asiaticoside from Pegagan (Centella asiatica l.) and Curcumin Isolate from Turmeric (Curcuma longa l.) as a Nano Medicine Particle Delivery System
Authors: Agusti Arsyadi , Tuba Syahrul 
Published: February 2023

Abstract
Pegagan (Centella asiatica) and turmeric (Curcuma longa) have a chemical that has been identified and utilized for wound healing. The study looked into how to make a gel with asiaticoside extract from Pegagan and curcumin isolate from turmeric and a nanoparticle delivery system to heal wounds caused by exercise and surgery. The rhizomes of pegagan and turmeric were taken out to make a gel preparation with a nanoparticle delivery system. Also, the extract was standardized and turned into nanoparticles. Finally, the gel preparation formula was made. Asiaticoside and curcumin gel nanoparticles were made by adding chitosan to a 0.1% sodium tripolyphosphate solution. Furthermore, physical examination and gel stability testing were performed on the three gel formulations with varying concentrations of NaCMC, such as 5%, 3%, and 15%. Asiaticoside nanoparticles had a size of 83.87 nm, while curcumin nanoparticles had a size of 62 nm, according to the results of the nanoparticle characterization. The viscous test for gel formulations employs gel viscosity standards of 80.000 (F1) cp, 34.000 cp (F2), and 3.600 cp (F3). The gel is stable for 30 days due to its organoleptic value and viscosity. Based on the results of a physical exam, Formula 3 is the best way to make a gel preparation with asiaticoside and curcumin nanoparticles.
Assessment of Orthodontic Canine Retraction via Two Approaches of Periodontal Distraction:
A Comparative Clinical Study
Authors: El-Hendawey Alaa , Hussein Farouk , Hssan Susan , Mohamed Maha 
Published: February 2023

Abstract
Background
This study aimed to assess and compare two approaches of periodontal distraction during orthodontic canine retraction.
Methods
A consecutive sample of 27 patients (54 canines) requiring extraction of upper 4s and canine retraction were grouped into three groups; canine retraction by using buccal periodontal distractor with distal interseptal bone cuts (group I), canine retraction by using buccal periodontal distractor without distal interseptal bone cuts (group II), conventional canine retraction on miniscrew (group III). The patients were evaluated before (T0) and after canine retraction (T1) for rate of canine retraction directly in patient’s mouth and at 1st ,2nd ,4th and 7th days after activation for pain sensation through visual analog scale (VAS).
Results
Regarding the rate of canine retraction, statistical analysis revealed that there was a significant difference between 3 groups. A significantly higher value was recorded in group I, followed by group II, with the lowest value recorded in group III (P-value > 0.05). Regarding pain score, statistical analysis revealed that there was no statistically significant difference between group I and II (p < 0.05) but the values recorded in them was significantly higher than group III within 1st and 2nd days (p > 0.05) respectively. Within 4th and 7th days, there was statically significant difference between 3 groups with the highest pain value in group II, followed by group I, with the lowest value in group III (p > 0.05).
Conclusions
canine retraction movement was accelerated effectively by periodontal distraction technique either with or without distal interseptal bone cuts; the periodontal distraction with distal interseptal bone cuts was higher in rate of canine retraction and lower in pain sensation than the periodontal distraction without distal interseptal bone cuts.
Trade in Services and Income Inequality in Africa: The Role of Information and Communication Technologies
Authors: Wonyra Kwami Ossadzifo , Tenakoua Honoré , Cassama Braima Luís Soares 
Published: February 2023

Abstract
With the advent of the technological revolution, trade in services is of paramount importance in major international trade issues. This paper analyses the effects of trade in services in general and ICTs in particular on income inequality in 46 African countries over a decade 2009–2018. It focuses in particular on the channels through which trade in services affects income inequality. The results from the estimates show a robust and significant inverse relationship between trade in services and income inequality in Africa. Greater participation in international trade in services reduces inequalities in intra-national income distribution in Africa. The results suggest that the interaction of trade in services and internet penetration has a positive impact on income inequality in Africa.
JEL Classification: F10, D31, C23
Electrochemical detection of nickel(II) and zinc(II) ions by a dicarboxyl-Calix[4]arene-based sensor (Calix/MPA/Au) through differential pulse voltammetry analysis
Authors: Aziz Siti Fatimah Nur Abdul , Ainliah Alang Ahmad Shahrul 
Published: February 2023

Abstract
Herein, we report a facile approach for constructing a calixarene-based electrochemical heavy metal sensor (Calix/MPA/Au) via a one-pot reaction for the detection of Ni(II) and Zn(II) ions. The surface elemental properties and analytical performance of the Calix/MPA/Au sensor were characterized by X-ray photoelectron spectroscopy (XPS) and differential pulse voltammetry (DPV). Under optimum conditions, the sensor exhibited detection limits of 1.5 and 0.34 mg/L at linear ranges of 2.85–6.65 and 0.13–1.68 mg/L for the Zn(II) and Ni(II) ions, respectively. The developed sensor exhibited a better electrochemical performance in the detection of Zn(II) and Ni(II) ions owing to the favourable host–guest interactions between the hydroxyl groups-functionalized lower rim of dicarboxyl-calix[4]arene and the metal ions. The RSD of the five independent Calix/MPA/Au electrode for Zn(II) and Ni(II) ions was calculated to be 16.3 and 16.1%, respectively. Despite the lower sensitivity of the modified electrode towards Ni(II) ions, this finding proves the high selectivity of the calixarene as a detection probe towards the fitted size of guest ion, hence promising to be assembled and explored as a solid-state based-supramolecular host molecule for tracing metal ions.
Influence of power generation period on the oily sludge bio-electrical system
Authors: Zeyu Zhong , Guo Haiying , Huang Chunfeng , Geng Xiaoheng , Jia Xinlei , Huo Hongjun , Li Fanru , Jianfei Gao 
Published: February 2023

Abstract
The single-chamber bio-electrical systems can degrade oily sludge in sediments while generating electricity from the microbial fuel cells (MFCs) and their characteristics in energy and environmental effects have attracted wide international attention in recent years. To explore the influence of the power generation period on the oily sludge bio-electrical system, an oily sludge bio-electrical system was constructed. The output voltage, polarization curve, power density curve, crude oil removal rate and microflora were detected during different power generation periods, respectively. The results of this study showed that under the stable power generation period, the power generation and oily sludge degradation performance of MFC are higher than the voltage rise period and voltage attenuation period. Besides, the oily sludge bio-electrical system during the stable period contained more electricity-producing bacteria than the other two periods. The voltage in the stable period of oily sludge bio-electrical system is about 280 mV, the electromotive force is 493.1 mV and the power density is 134.93 mW·m−3. It lays a foundation for the improvement of degradation of crude oil and power generation performance in oily sludge bio-electrical system.
Whole campus wastewater surveillance of SARS-CoV-2 for COVID-19 outbreak management
Authors: Sharaby Y. , Gilboa Y. , Alfiya Y. , Sabach S. , Cheruti U. , Friedler Eran 
Published: February 2023

Abstract
In this long-term study (eight months), a wastewater-based epidemiology program was initiated as a decision support tool for the detection and containment of COVID-19 spread in the Technion campus. The on-campus students' accommodations (∼3,300 residents) were divided into housing clusters and monitored through wastewater SARS-CoV-2 surveillance in 10 manholes. Results were used to create a ‘traffic-light’ scheme allowing the Technion's COVID-19 task force to track COVID-19 spatiotemporal spread on the campus, and consequently, contain it before high morbidity levels develop. Of the 523 sewage samples analysed, 87.4% were negative for SARS-CoV-2 while 11.5% were positive, corroborating morbidity information the COVID-19 task force had. For 7.6% of the SARS-CoV-2 positive samples, the task force had no information about positive resident/s. In these events, new cases were identified after the relevant residents were clinically surge tested for COVID-19. Hence, in these instances, wastewater surveillance provided early warning helping to secure the health of the campus residents by minimising COVID-19 spread. The inflammation biomarker ferritin levels in SARS-CoV-2 positive sewage samples were significantly higher than in negative ones. This may indicate that in the future, ferritin (and other biomarkers) concentrations in wastewater could serve as indicators of infectious and inflammatory disease outbreaks.
A Perspective on Bone Morphogenetic Proteins: Dilemma behind Cancer-
related Responses
Authors: Kapoor Anmol , Mandal Chandi C. 
Published: February 2023

Abstract:
Bone morphogenetic proteins are a center of serious concern and are known to execute
various cancer-related issues. The BMP signaling cascades have become more unpredictable as a
result of their pleiotropic and risky characteristics, particularly when it comes to cancer responses.
This perspective discusses the current therapeutic implications, emphasizes different cellular aspects
that impact the failures of the current drug treatments, and speculates on future research avenues
that include novel strategies like metabolomic studies and bio-mimetic peptide therapeutics
to mitigate cancerous outcomes.