bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioinformatics Applications in Chronic Diseases: A Comprehensive Review of Genomic, Transcriptomics, Proteomic, Metabolomics, and Machine Learning Approaches
Authors: Ogunjobi Taiwo Temitope , Ohaeri Precious Nkeiruka , Akintola Olamide Tayo , Atanda Dorcas Oyedolapo , Orji Friday Precious , Adebayo Joy Oluwatosin , Abdul Sulaimon Olajuwon , Eji Cyril Arinze , Asebebe Ayomide Balikis , Shodipe Olutunde Opeoluwa , Adedeji Oluwaferanmi Oluwamayowa 
Published: February 2024

This manuscript provides a detailed exploration of the pivotal role that bioinformatics plays in elucidating the intricate molecular landscape associated with chronic diseases. Emphasizing the significance and prevalence of these enduring health issues, the introduction establishes the broader context of bioinformatics in chronic disease research. This review systematically covers the application of bioinformatics tools and techniques in comprehending, identifying, and managing chronic illnesses. The first section highlights the importance of genetics and genomics, detailing the utilization of genomic data and advancements in genetic biomarker discovery. Subsequently, the discussion extends to transcriptomics and gene expression, encompassing profiling methods, the identification of dysregulated genes, and the regulatory functions of non-coding RNA in long-term illnesses.Moving forward, the manuscript delves into proteomics, elucidating protein-protein interaction networks, associated tools and techniques, and post-translational modifications. This comprehensive coverage aims to provide readers with a nuanced understanding of the molecular complexities underlying chronic diseases. The subsequent section focuses on metabolomics and metabolic pathways, with an emphasis on the clinical utility of metabolite biomarkers, changes in metabolic pathways, and techniques for characterizing diseases. Following this, the manuscript explores machine learning applications in bioinformatics, providing insights into their role in enhancing our understanding of chronic diseases. The later part of the manuscript addresses practical applications and case studies, showcasing disease-specific bioinformatics tools, databases, and the broader utility of research findings. Additionally, the penultimate section examines privacy, ethical considerations, and data quality concerns, addressing challenges and potential paths for the field of bioinformatics. In conclusion, the manuscript discusses forthcoming trends and prospective research directions, contributing to the advancement of bioinformatics research in chronic illnesses. Overall, this review provides a comprehensive overview of the multifaceted applications of bioinformatics in chronic disease research.

Received: 22 December 2023 | Revised: 23 January 2024 | Accepted: 31 January 2024

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The data that support this work are available upon reasonable request to the corresponding author.
On magic total labelings in combinatorial designs
Authors: Liang Zhihe 
Published: February 2024

Let H be a graph and ẞ be an H-decomposition of G. The H-magic total labeling of a graph G is an assignment of integers set [1, |V(G)∪E(G)|] to V(G)∪E(G) such that: any vertex and any edge of G receive distinct integers, and the sum of all vertices receive integers and all edges receive integers on B is a constant for any B ∈ ẞ. In this paper we study the H-super magic problems of balanced incomplete block designs and resolvable balanced incomplete block designs.
The Relationship Between Atherosclerotic Risk Factors and Female Gender
Authors: Özkan Asibe , Karagöz Esra 
Published: February 2024

Introduction: Identification and control of cardiovascular risk factors form the basis of strategies for protecting cardiovascular health. However, according to the results of many studies, women are less aware of their own risk factors and participate less in screening programs than men. This study was conducted to determine the risk of experiencing atherosclerotic events and risk-related factors in women aged 40-79 years.
Patients and Methods: This retrospective, cross-sectional analysis was conducted by the primary physician of the laboratory values used in atherosclerotic cardiovascular disease (ASCVD) risk assessment, who applied to the consultant outpatient clinics (pulmonary diseases, infectious diseases, nephrology, internal medicine outpatient clinics) in a training and research hospital between September and November 2021. The data of 131 female patients between the ages of 40-79 were analyzed.
Results: The average age of the 131 women included in the study was 51.6 years. It was observed that women predominantly had three or four risk factors. The five most common risk factors identified were as follows: a total cholesterol level above 170 mg/dL (86.3%), menopause (65.6%), HDL cholesterol below 50 mg/dL (64.1%), systolic blood pressure above 130 mmHg (56.4%), and smoking (32.1%). In the study, when investigating the relationship between the ASVCD risk calculator, atherosclerosis risk factors, and the menopausal period, statistically significant associations were observed between age, systolic blood pressure, total cholesterol, HDL, LDL, 10-year risk ratio, optimal risk ratio, and lifetime risk ratio.
Conclusion: The study determined that the average lifelong expected ASCVD risk among the women participating in the study, in terms of cardiovascular diseases, was 39.87 ± 8.81%. This finding highlights the significance of cardiovascular diseases and underscores the importance of conducting comprehensive risk assessments at the individual level to prevent them.
The Impact of Serum Interleukin-4, Interleukin-10, Interleukin-17a, and Interleukin-22 Levels on the Development of Sporadic Ascending Aortic Aneurysms
Authors: Batgerel Ulaankhuu , Özgen Ayça , Yurdagül Gaye Erten 
Published: February 2024

Introduction: Aortic aneurysms are chronic diseases associated with inflammatory/immunological mechanisms. Interleukins (ILs) with pro-inflammatory and anti-inflammatory activities are shown to be related to the development of aortic damage. In this context, this study aims to evaluate the serum IL-4, IL-10, IL-17A, and IL-22 in patients with sporadic thoracic ascending aortic aneurysms.
Patients and Methods: The population of this prospective study consisted of all consecutive patients with sporadic ascending aortic aneurysms who underwent thoracic aortic aneurysm repair between November 2019 and September 2022. In the end, 29 patients (the patient group) and 19 healthy voluntary participants without aortic pathology (the control group) were included in the study. The study’s primary outcome was the differences in serum IL levels between the groups.
Results: The patient group was significantly older than the control group (p= 0.042). Significantly higher neutrophil-to-lymphocyte ratio (NLR) values were detected in the patient group (p= 0.031). The median IL10 (p= 0.001), IL-17A (p< 0.001), and IL-4 (p< 0.001) levels were significantly lower in the patient group than in the control group. There were no significant correlations between serum IL levels and the aneurysm diameter (p> 0.05). On the other hand, there were moderate correlations between IL-10 and IL-17A (r= 0.409, p= 0.038), IL-10 and IL-22 (r= 0.464, p= 0.017), and IL-17A and IL-4 (r= 0.496, p= 0.006). NLR ≥1.95 was found to be an independent risk factor for sporadic ascending aortic aneurysms [Odds Ratio (OR)= 4.53, 95% confidence interval (CI)= 1.12-21.17, p= 0.040].
Conclusion: IL-10, IL-17A, and IL-4 were significantly lower in patients with sporadic ascending aortic aneurysms larger than 55 mm. NLR was an independent risk factor for sporadic ascending aortic aneurysms. The diameter of the aneurysm was not correlated with ILs. There were positive correlations between IL-10, IL-17A, and IL-4 levels.
What Happens to Mild-to-Moderate Chronic Ischemic Mitral Regurgitation Following Isolated Coronary Artery Bypass Surgery?
Authors: Durmaz Duygu , Gündöner Sedat , Tekümit Hayrettin , Berki Kamil Turan 
Published: February 2024

Introduction: The aim of this study was to assess the efficacy of isolated coronary artery bypass grafting (CABG) on preoperatively existing mild-to-moderate chronic ischemic mitral regurgitation.
Patients and Methods: A retrospective analysis was conducted on 30 patients who had coronary artery disease and chronic ischemic mitral regurgitation, and underwent isolated CABG at the Department of Cardiovascular Surgery, Kocaeli University, between January 2012 and February 2014. Preoperative demographic and clinical characteristics, as well as postoperative outcomes, were evaluated. The degree of IMR, left ventricular ejection fraction (LVEF), left ventricular end-systolic dimension (LVESD), left ventricular end-diastolic dimension (LVEDD), and left atrial dimension (LAD) were assessed preoperatively, and at the postoperative 12th month.
Results: There was no mortality during the early postoperative period. There were statistically similar measurements for LVEF, LVESD, LVEDD, and LAD between preoperative and postoperative periods (p> 0.05). However, a decrease in the degree of IMR was detected during the specified periods (p< 0.05).
Conclusion: Isolated CABG can be safely performed in patients with mild/moderate chronic ischemic mitral regurgitation. The efficacy of isolated CABG was demonstrated to improve the degree of mitral regurgitation in selected patients based on echocardiographic measurements.
Comparison of the Performance of Five Different Scoring Systems in Patients with ST-Elevation Myocardial Infarction
Authors: Kaçar Flora Özkalaycı , Saygı Mehmet , Özer Tanıl , Karagöz Ali , Tanboğa İbrahim Halil , Oduncu Vecih 
Published: February 2024

Introduction: Although most of the scoring systems are used for long-term mortality assessment in STelevation myocardial infarction (STEMI), there is still lack of data comparing model performances. In this study, it was aimed to compare five scoring systems for predicting long-term mortality in patients presented with STEMI.
Patients and Methods: This is a retrospective observational study consisting of 1689 consecutive STEMI patients who underwent PCI between 2009 and 2013. Patient data was obtained from the electronic data base of the hospital. Each patients’ mortality risk was assessed with five different risk scores and recorded.
Results: A total of 1689 patients with STEMI were included into the study. Median follow-up time was one year. Risk scores were calculated for each patient. Although similar statistical significance was presented among all scores, modified age, creatinine clearance, and ejection fraction score (mACEF) were demonstrated to be more significant than relevant scoring systems in clinical respect.
Conclusion: Among five scores, the mACEF score was demonstrated to be the most significant model in clinical respect for the prediction of mortality.
MAPPING OF pH AND TEMPERATURE SOIL IN THE MALIKUSSALEH SITE CULTURAL RESERVE AREA
Authors: Muliaman Agus , Syafrizal Syafrizal , Sari Arlin Maya , Dewi Ucia Mahya 
Published: February 2024

Situs budaya merupakan peninggalan penting bagi sejarah. Rusaknya situs budaya atau artefak dipicu oleh berbagai faktor. Tingkat salinitas yang tinggi dalam tanah atau lingkungan situs budaya dapat menjadi salah satu pemicunya. Faktor lainnya dapat berupa pH lingkungan. Untuk itu maka monitoring kualitas tanah di kawasan situs budaya penting untuk dilakukan untuk mengantisipasi kerusakan pada situs budaya.. Penelitian ini bertujuan untuk mengukur pH tanah di kawasan situs cagar budaya Malikussaleh dan memetakan kondisi kualitas tanah (pH dan temperatur) dikawasan cagar budaya Malikussaleh. Lokasi penelitian bertempat pada Kawasan cagar budaya Malikussaleh di kecamatan Samudera. Penelitian ini merupakan jenis penelitian dasar dengan pendekatan kuantitatif. Pada penelitian ini pH dan temperatur tanah masing-masing diukur menggunakan pH meter dan termometer. Data pH dan temperatur tanah yang diperoleh diinterpretasikan berdasarkan korelasi dengan kondisi daerah. Berdasarkan hasil pengukuran, tanah diwilayah situs Malikussaleh memilki tingkat keasaman pada range basa lemah dan asam tinggi (pH 4,5-7).
THE EFFECTIVENESS OF DISCOVERY LEARNING MODEL TO IMPROVE STUDENT’S CRITICAL THINKING ON HUMAN RESPIRATORY SYSTEM
Authors: Wulandari Tabitha Sri Hartati , Ihsan Muhammad Shohibul , Pratama Ferry Yudha , Cacik Sri 
Published: February 2024

This research aims to improve students' critical thinking by using Discovery Learning model on Human Respiratory System. The type of research used is quantitative descriptive research. The research method chosen was pre-experimental with a one group pretest-posttest research design. Pretest was carried out to determine the research subjects' critical thinking before the Discovery Learning model was given. After treatment, the research subjects' critical thinking was determined based on posttest scores. The research subjects were 34 students of PGSD FKIP Universitas PGRI Ronggolawe Tuban who were taking the first semester of the 2023/2024 academic year. The research instrument used to collect data was a critical thinking test using 25 multiple choice questions. Analysis of research data using N-Gain Score. The research results show that the average percentage of N-Gain Score is 72% or in the high category. Apart from that, the average critical thinking score also increased during the pretest and posttest, namely from 57 to 88. Based on the analysis of research data, it can be concluded that the application of the Discovery Learning model can improve the critical thinking of research subjects. Therefore, further research is related the application of the Discovery Learning model can be accompanied by innovative learning media, so that the effectiveness obtained is maximized.
A regional pCO2 climatology of the Baltic Sea from in situ pCO2 observations and a model-based extrapolation approach
Authors: Bittig Henry C. , Jacobs Erik , Neumann Thomas , Rehder Gregor 
Published: February 2024

Abstract. Ocean surface pCO2 estimates are of great interest for the calculation of air–sea CO2 fluxes, oceanic uptake of anthropogenic CO2, and eventually the Global Carbon Budget. They are accessible from direct observations, which are discrete in space and time and thus always sparse, or from biogeochemical models, which only approximate reality. Here, a combined method for the extrapolation of pCO2 observations is presented that uses (1) model-based patterns of variability from an empirical orthogonal function (EOF) analysis of variability with (2) observational data to constrain EOF pattern amplitudes in (3) an ensemble approach, which locally adjusts the spatial scale of the mapping to the density of the observations. Thus, data-constrained, gap- and discontinuity-free mapped fields including local error estimates are obtained without the need for or dependence on ancillary data (e.g. satellite sea surface temperature maps). This extrapolation approach is generic in that it can be applied to any oceanic or coastal region covered by a suitable model and observations. It is used here to establish a regional pCO2 climatology of the Baltic Sea (Bittig et al., 2023: https://doi.org/10.1594/PANGAEA.961119), largely based on ICOS-DE ship of opportunity (SOOP) Finnmaid surface pCO2 observations between Lübeck-Travemünde (Germany) and Helsinki (Finland). The climatology can serve as improved input for atmosphere–ocean CO2 flux estimation in this coastal environment.
Climate change impacts on regional fire weather in heterogeneous landscapes of central Europe
Authors: Miller Julia , Böhnisch Andrea , Ludwig Ralf , Brunner Manuela I. 
Published: February 2024

Abstract. Wildfires have reached an unprecedented scale in the Northern Hemisphere. The summers of 2022 and 2023 demonstrated the destructive power of wildfires, especially in North America and southern Europe. Global warming leads to changes in fire danger. Specifically, fire seasons are assumed to become more extreme and will extend to more temperate regions in northern latitudes in the future. However, the extent to which the seasonality and severity of fire danger in regions of central Europe will change in the future remains to be investigated. Multiple studies claim that natural variability and model uncertainty hide the trend of increasing fire danger in multi-model climate simulations for future potentially fire-prone areas. Such a trend might be isolated with single-model initial-condition large ensembles (SMILEs), which help scientists to distinguish the forced response from natural variability. So far, the SMILE framework has only been applied for fire danger estimation on a global scale. To date, only a few dynamically downscaled regional SMILEs exist, although they enhance the spatial representation of climatic patterns on a regional or local scale. In this study, we use a regional SMILE of the Canadian Regional Climate Model version 5 Large Ensemble (CRCM5-LE) over a region in central Europe under the RCP8.5 (Representative Concentration Pathway) scenario from 1980 to 2099 to analyze changes in fire danger in an area that is currently not fire prone. We use the Canadian Forest Fire Weather Index (FWI) as a fire danger indicator. The study area covers four heterogeneous landscapes, namely the Alps, the Alpine Foreland, the lowlands of the South German Escarpment, and the Eastern Mountain Ranges of the Bavarian Forest. We demonstrate that the CRCM5-LE is a dataset suitable for disentangling climate trends from natural variability in a multi-variate fire danger metric. Our results show the strongest increases in the median (50th) and extreme (90th) quantiles of the FWI in the northern parts (South German Escarpment and Eastern Mountain Ranges) of the study area in the summer months of July and August. There, high fire danger becomes the median condition by the end of the century, and levels of high fire danger occur earlier in the fire season. The southern parts (Alps and Alpine Foreland) are less strongly affected by changes in fire danger than the northern parts. However, these regions reach their time of emergence (TOE) in the early 2040s because of very low current fire danger. In the northern parts, the climate change trend exceeds natural variability only in the late 2040s. We find that today's 100-year FWI event will occur every 30 years by 2050 and every 10 years by the end of the century. Our results highlight the potential for severe future fire events in central Europe, which is currently not very fire prone, and demonstrate the need for fire management even in regions with a temperate climate.
МЕКТЕП ОКУУЧУЛАРЫНА КӨРКӨМ-ЭСТЕТИКАЛЫК ТАРБИЯ БЕРҮҮДӨ ИСКУССТВОНУН РОЛУ
Authors: Макаев Таалайбек 
Published: February 2024

Бул макалада негизинен искусствонун мектеп окуучуларна эстетикалык тарбия берүүдөгү тийгизген таасири, ролу тууралуу баяндалат. Эстетикалык тарбиянын чыгармачылык өңүттүн калыптануусундагы мааниси баланын сезиминин өрчүүсүнө түрткү берүүсү, инсандык сезимин тариздөө жана байытуусунда гана эмес, дүйнөгө болгон көркөм мамиленин рационалдык жана эмоцианалдык муктаждыгын да негиздейт. Эстетикалык тарбия гана дүйнө таануу сезиминин калыптануусунда чоң мааниге ээ жана ал сезимди өрчүтөт.
A Case Study of Soybean (Glycine max L.) Under Agrivoltaic System and Modelling Simulation
Authors: Potenza Eleonora , Colauzzi Michele , Amaducci Stefano 
Published: February 2024

Agrivoltaic systems (AVs) combine agricultural activities with the electricity production from photovoltaic (PV) panels constructed on the same area of land. Goetzberger and Zastrow[1] (1982) introduced the concept of AV but only more recently the increased environmental concerns and the economic and political frameworks have stimulated a growing interest in this technology. A critical issue, hampering the development of AVs, is the selection and cultivation of species adapted to the micrometeorological conditions generated by AV. This study reports on physiological, morphological and yield data of a soybean crop grown under AV. In addition, field data were compared with results from a simulation carried out with the modelling platform developed by Amaducci et al., 2018. Morphological and physiological and yield response of tomato and potato under Agrivoltaico® system parameters influenced by growth under AV were height, LAI and SLA, which were higher under AV than in normal “full light” (FL) conditions. Number of pods per plant decreased by 13% under AV compared to FL conditions while mean grain yield was reduced by 8%, only in one AV area was observed a slightly increase (+4.4%) in grain yield. The results on RMSE revealed that the model error was higher in two AV conditions compared to the other 3 treatments.
EKSPLORASI RAGAM HIAS LAYANG-LAYANG PADA FESTIVAL KAGHATI KOLOPE DENGAN PENERAPAN APLIKASI BORDIR DAN TEKNIK MAKRAME PADA BUSANA READY TO WEAR DELUXE
Authors: Gustiana Ditya , Hasmiraldi Eric , Saifurohman Saifurohman 
Published: February 2024

Perancangan busana ready to wear deluxe ini terinspirasi dari salah satu festival layang-layang di Indonesia yaitu festival kaghati kolope yang berasal dari Kabupaten Muna, Sulawesi Tenggara. Karya busana ini berjudul “Kaghati Pasole”, diambil dari Bahasa Muna dan memiliki arti layang-layang yang cantik. Keragaman bentuk layang-layang pada festival kaghati kolope menjadi sumber inspirasi yang diimplementasikan pada busana dengan penerapan aplikasi bordir dan teknik makrame. Bahan utama yang digunakan adalah kain american drill dengan warna light blue dan navy. Warna yang digunakan pada koleksi busana ready to wear deluxe ini merupakan perpaduan warna analogus dengan light blue sebagai warna utama busana yang terinspirasi dari warna langit. Bentuk layang-layang sebagai inspirasi juga ditonjolkan pada garis busana yang tegas dengan siluet busana H dan Y yang memiliki keseimbangan simetris. Aplikasi bordir pada busana ini dibuat dengan dua macam tusukan yaitu tusuk satin dan tusuk tatami. Sedangkan simpul makrame yang digunakan yaitu simpul kepala, simpul rantai, simpul tunggal, simpul ganda dan simpul gordin.