bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of a diagnostic model for ischemic cardiomyopathy with Artificial Neural Network by bioinformatic analysis
Authors: Naman， Tuersunjiang , Aimaier， Salamaiti , Abuduhalike， Refukaiti , Abudouwayiti Aihaidan , Sun Juan , Mahemuti Ailiman 
Published: December 2023

Abstract
Background
Ischemic cardiomyopathy(ICM) is a significant global health concern caused by high morbidity and mortality.In addition, no previous study has reported the diagnostic biomarkers in ICM.
Objective
The presentstudy is aimed at establishing and validating a diagnostic model for ICM with Artificial Neural Network (ANN) by screening key potential biomarkers using bioinformatic analysis.
Method
Through searching the Gene Expression Omnibus(GEO) database, three gene expression datasets were downloaded and merged. Differentially expressed genes(DEGs) in the mergeddatasetswere detectedusing R software and subject to Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis. Then, Lasso regression analysis and random forest (RF) wereapplied to identify critical genes based on DEGs. Afterwards, we intersected the key genes screened from Lasso regression analysis and RF. An ICM diagnostic model was constructed by ANN. Based on a validation dataset, the diagnostic model was assessed, whereasits diagnostic performance was assessed usingarea under curve(AUC) values.
Results
Totally 18 ICM-related DEGs were detected. Then, six hub genes(COL1A1, FCN3, GLUL, MYOT, SERPINA3, and SLC38A2) were identified by intersecting the key genes filtered out by Lasso regression analysis and Random forest(RF). In the end, a diagnostic model for ICM was successfully designed by ANN, obtaining an AUC of 0.907 and 0.745 in training datasets, separately.
Conclusion
this study detected several potential genetic biomarkers and successfully developed an early predictive model with high diagnostic performance for ICM. In addition, the obtained findings offer a significant guidance for the early diagnosis as well as screening of ICM in the future.
Quantum adsorption mechanism of gelatin cellulose hydrogel for the effective removal of Cu2+ and Co2+ from wastewater using artificial neural networks
Authors: Kabuba John , Lukusa Trésor 
Published: December 2023

Abstract

In this work, n-GCHM was used for the removal of Cu2+ and Co2+ from wastewater. The adsorbent material (n-GCHM) was characterised using SEM and TGA. The following optimum conditions were obtained: a contact time of 120 min and pH 5 for the removal of Cu2+ and Co2+. The maximum adsorption capacity of Cu2+ and Co2+ was 5.8343 mg/g using n-GCHM. The highest percentage removal of Cu2+ and Co2+ on n-GCHM at pH 5 was 80 and 80.5%, respectively. The experimental data successfully fitted to pseudo-second-order kinetic, and also fitted well to the Freundlich isotherm model. The process of adsorption was spontaneous and exothermic in nature. To obtain extensive information on the adsorption process of metal ions on the functional groups of adsorbents, the quantum adsorption mechanism was investigated using DFT. The molecular orbital approach has shown that the HOMO and LUMO were located on –NCN– and LUMO on –NCO–. The quantum adsorption mechanism has shown that the binding energies of Cu2+ and Co2+ on imine functional groups were −60,604.399 and −53649.06 eV, respectively. On the –NCO– functional group, the binding energy was −58587.608 and −51632.618 eV, respectively, for Cu2+ and Co2+. Quantum mechanical methods using the ANN approach have been demonstrated to be accurate.
Dynamic probabilistic analytical modeling for estimating rainfall–runoff transformation rates in drylands
Authors: Shao Yiyuan 
Published: December 2023

Abstract
Precipitation-runoff changes used in the development of precipitation-runoff models depict general runoff mechanisms in physical precipitation-runoff processes. For this purpose, it must be able to adequately express the characteristics of the physical system. Similar to other water resources management models, analytical-probabilistic models may be developed with different levels of complexity according to different types of rainfall–runoff developments. In this research, a log-normal probabilistic model was used to estimate the return period of rainfall and Soil and Water Assessment Tool (SWAT) software was used to convert rainfall values into discharge and runoff height in agricultural lands. The slope and the level of plant shade cover were considered the two basic factors in the estimation of the subsurface flow used in agriculture. Slopes of less than 0.015 and land cover level of more than 70% of extreme points were obtained to ensure subsurface water sources and prevent erosion.
Anterior Abdominal Wall Pain
Authors: Dolgushina A. I. , Karpova M. I. , Karpov I. A. , Nadtochiy N. B. , Saenko A. A. 
Published: December 2023

Aim: to present modern approaches to the differential diagnosis and treatment of anterior abdominal wall pain.Key points. Pain in the anterior abdominal wall is a common reason for visiting a gastroenterologist and is often misinterpreted. Signs that distinguish it from visceral and parietal pain include local character, a positive Carnett sign and the effectiveness of local anesthetic injection. Among the main causes, it is necessary to highlight diseases that are not accompanied by a palpable mass in the anterior abdominal wall (anterior cutaneous nerve entrapment syndrome, ilioinguinal nerve syndrome, slipping rib syndrome, radiculopathy and myofascial pain syndrome). Another group of causes of pain in the anterior abdominal wall is represented by diseases in which areas of infiltration (tumors, endometriosis, infections) or hernial protrusions are determined, in which radiation methods play an important role in diagnosis.Conclusion. Knowledge of pathognomonic clinical and instrumental signs is the basis for differential diagnosis and choice of treatment strategy for pathology of the anterior abdominal wall.
Kyoto International Consensus Report on Anatomy, Pathophysiology and Clinical Significance of the Gastroesophageal Junction
Authors: Sheptulin A. A. , Rabotyagova Y. S. 
Published: December 2023

Aim: to present the main statements of Kyoto International Consensus report on anatomy, pathophysiology, and clinical significance of the gastroesophageal junction.Key points. The experts reviewed and adopted 28 statements concerning (1) the definition of the gastroesophageal junction (GEJ); (2) the definition of the GEJ zone, covering the area located 1 cm proximal and 1 cm distal in relation to gastroesophageal junction; (3) the assessment of chemical and bacterial (Helicobacter pylori) factors leading to the development of inflammation, metaplasia and neoplasia of the mucosa of the GEJ; and (4) a new definition of Barrett’s esophagus.Conclusion. The new definitions of GEJ, GEJ zone and Barrett’s esophagus adopted by the International Consensus will be used in subsequent studies, which will contribute to improving the results of treatment of diseases of this area.
PENERAPAN MODEL PEMBELAJARAN BERBASIS MASALAH UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR TINGKAT TINGGI PESERTA DIDIK PADA POKOK BAHASAN GELOMBANG BUNYI
Authors: Somalinggi Meirliana Lebang , Lumbu Albert , Triwiyono Triwiyono 
Published: December 2023

Kemampuan berpikir tingkat tinggi merupakan salah satu aspek dan menjadi perhatian dalam dunia pendidikan. Oleh karena itu, pentingnya pembelajaran yang dapat mengembangkan kemampuan berpikir tingkat tinggi peserta didik. Tujuan penelitian adalah mendeskripsikan peningkatan dan perbedaan kemampuan berpikir tingkat tinggi peserta didik pada pembelajaran pokok bahasan gelombang bunyi yang diajarkan menggunakan model pembelajaran berbasis masalah atau Problem Based Learning (PBL) sebagai kelas eksperimen dan Direct instruction (DI) sebagai kelas kontrol. Penelitian menggunakan metode kuantitatif dengan jenis penelitian eksperimen semu dengan desain nonequivalen control group design. Subyek penelitian adalah peserta didik kelas XI SMA YPPK Teruna Bakti Jayapura, dengan jumlah peserta didik 31 orang pada kelas eksperimen dan 27 orang pada kelas kontrol. Teknik sampling yang digunakan adalah cluster random sampling. Teknik analisis data menggunakan analisis N-gain, uji normalitas, uji homogenitas, dan uji beda rata-rata. Hasil penelitian menunjukkan bahwa (1) pembelajaran dengan menggunakan model PBL dapat meningkatkan kemampuan keterampilan berpikir tingkat tinggi dengan N-gain rata-rata kemampuan berpikir tingkat tinggi seluruh konsep pada kelas eksperimen 0,47 yang tergolong sedang dan kelas kontrol 0,34 tergolong sedang juga, dan (2) terdapat perbedaan kemampuan berpikir tingkat tinggi antara kelas eksperimen dan kelas kontrol. Hasil penelitian diharapkan dapat memberikan kontribusi bagi pengembangan program pembelajaran yang mengupayakan peningkatan kemampuan berpikir tingkat tinggi bagi peserta didik.
STUDI LITERATUR: ANALISIS MODEL PEMBELAJARAN INKUIRI DALAM MENINGKATKAN KEMAMPUAN BERFIKIR KRITIS SISWA PADA PEMBELAJARAN FISIKA
Authors: Sutria Yuna , Nababan Loriana R , Manalu Marlinda , Ramadani Naillah Putri 
Published: December 2023

Model pembelajaran inquiri sering diimplementasikan pada penelitian pembelajaran fisika untuk menumbuhkan kemampuan berpikir kritis. Penelitian ini bertujuan untuk menguraikan eksplorasi penelitian yang ada pada pemanfaatan model pembelajaran inquiri untuk lebih mengembangkan kemampuan berpikir kritis. Metode yang digunakan dalam penelitian ini adalah menggunakan Meta-Analisis yang memiliki tahap sebagai berikut: pengumpulan data, membuat rangkuman data, mereview dan menyelidiki informasi dari hasil penelitian sebelumnya. Proses pengumpulan informasi dilakukan dengan membaca dan menjelajahi berbagai artikel di web dengan periode 2013-2023 mengenai model pembelajaran inquiri terhadap keterampilan berpikir pada mata pelajaran Fisika. Tahap pertama yang dilakukan adalah pengumpulan artikel, yang terseleksi menjadi 20 artikel yang mempunyai desain penelitian yang mirip, dan megkalkulasi Effect Size ditinjau berdasarkan tahun penelitian, tingkat satuan pendidikan, materi pembelajaran dan model inkuiri. Berdasarkan hasil dari penelitian meta-analisis yang telah dilaksanakan, maka dapat diasumsikan bahwa besarnya Effect Size model pembelajaran inquiri dalam mengembangkan lebih lanjut kemampuan penalaran siswa dalam pembelajaran fisika adalah sebesar 2,45, yang termasuk dalam klasifikasi tinggi. Selanjutnya materi pembelajaran yang secara umum layak untuk pembelajaran berbasis masalah adalah materi Gerak Harmonik Sederhana dengan Effect Size sebesar 6,91. Berdasarkan tingkat kelas yang benar-benar menggunakan model pembelajaran inquiri, khusus pada tingkat sekolah menengah atas kelas XI dengan klasifikasi tinggi memperoleh Effect Size sebesar 2,55
THE IMPLEMENTATION OF MURABAHAH CONTRACT ON THE RETIREMENT FINANCING AT SHARIA BANK OF INDONESIA
Authors: Alazhari Alvionita Ardilla , B M Taufan , Amelia Yuni 
Published: December 2023

Retirement financing has a small financing risk because retirement financing at the Sharia Bank of Indonesia is based on a cooperation agreement between the Sharia Bank of Indonesia and retirement fund management institutions such as PT Taspen. One Sharia-based financing product in demand is selling and purchasing products with the Murabahah contract. The concept and application of financing with a Murabahah contract that is simple and easy to handle in the administration of Islamic banks is the main factor of Islamic banks in Indonesia applying the principle of Murabahah in financing. This research is doctrinal legal research, usually called normative legal research, supported by empirical data. In this research, the researcher found that the mechanism of retirement financing begins with the financing submission by the customer to the Bank, checking data/verifying data, analysis of financing feasibility, evaluation of financing needs and decisions, administration and accounting of financing, and the realization of the funding. Constraints in using Murabahah contract on retirement financing product at Sharia Bank of Indonesia Palu Basuki Rahmat as customers do not want to be complicated by the administrative process because of the age factor, which is the retirement age.
Abstrak
Pembiayaan pensiun merupakan pembiayaan yang memiliki risiko pembiayaan yang kecil, karena pembiayaan pensiun di Bank Syariah Indonesia didasarkan pada perjanjian kerjasama antara Bank Syariah Indonesia dengan lembaga pengelola dana pensiun seperti PT Taspen. Salah satu produk pembiayaan berbasis syariah yang cukup diminati adalah produk jual beli dengan akad Murabahah. Konsep dan aplikasi pembiayaan dengan akad Murabahah yang sederhana dan mudah dalam penanganan administrasi bank syariah menjadi faktor utama bank syariah di Indonesia menerapkan prinsip Murabahah dalam pembiayaannya. Penelitian ini merupakan penelitian hukum doktrinal atau biasa disebut penelitian hukum normatif yang didukung data empiris. Dalam penelitian ini, peneliti menemukan mekanisme pembiayaan pensiun diawali dengan pengajuan pembiayaan oleh nasabah kepada bank, pengecekan data/verifikasi data, analisis kelayakan pembiayaan, evaluasi kebutuhan dan keputusan pembiayaan, administrasi dan pembukuan pembiayaan, dan realisasi pembiayaan. Kendala dalam penggunaan akad murabahah pada produk pembiayaan pensiun di Bank Syariah Mandiri Palu Basuki Rahmat adalah karena nasabah tidak ingin dipersulit dengan proses administrasi karena faktor usia, yaitu usia pensiun.
IoT Sensor Network Solution for Monitoring Wind Induced Waves in Shallow Water
Authors: Jászberényi Áron István 
Published: December 2023

Abstract
This case study presents a possible solution for monitoring wind induced waves in shallow water lakes. Currently widely used instruments for measuring water waves are expensive due to extreme environmental requirements and the technology used. The use of IoT solutions is not common. Water wave measurements require low power consumption and medium to long range communication. Due to the network specifications, it is not obvious that LPWAN technologies are suitable for transmitting the amount of data generated. For the devices developed, LoRaWAN was investigated as the cheapest and 5G as the most reliable network solution, with attention to energy consumption.
A Review of Using Visual Odometery Methods in Autonomous UAV Navigation in GPS-Denied Environment
Authors: Rostum Hussam M. , Vásárhelyi József 
Published: December 2023

AbstractThis review paper centers on strategies employed for location determination in regions lacking GPS signals. It primarily explores a range of vision-based methods tailored for this purpose, categorizing them accordingly. The article delves into the utilization of optical flow for feature extraction-based Visual Odometry (VO) and delves into advanced optical flow estimation methods that hinge on deep learning techniques. It compares the efficacy and practical applications of frequently utilized visual localization methods while also checking the efficiency of previous researches by reapplying the algorithms to new data and comparing the results.
Performance Analysis of Combining Beamforming and ZF/MMSE-SIC Equalization Techniques for MIMO DWPT-COFDM Systems
Authors: Reda Sadouki Bouamama , Fayssal Menezla , Mohammed Debbal 
Published: December 2023

AbstractThis study explores the enhancement of wireless communication through the integration of OFDM with MIMO and advanced techniques like COFDM, adaptive MIMO, and beamforming. It evaluates a 2×2 and 4×4 MIMO-DWPT-COFDM system, considering modulation (BPSK and QPSK) and equalization (ZF-SIC and MMSE-SIC) over a Rayleigh fading channel. MATLAB results reveal that more antennas, BPSK modulation, and MMSE-SIC equalization significantly improve BER performance. Specifically, for a BER of 10−4, the 2×2 MIMO system requiresEb/N0values of 10.4 (MMSE-SIC) and 11.4 (ZF-SIC), while the 4×4 MIMO system needs 5.5 (MMSE-SIC) and 5.9 (ZF-SIC). These findings emphasize the need for thoughtful system design and parameter optimization in achieving reliable and efficient wireless communication.
Development of a Methodology for Assessing the Quality of Drilling Machines
Authors: Chekir Abdessalam , Nemouchi Samia , Aoul Elias Hadjadj 
Published: December 2023

Abstract
Optimization is one of the best techniques used in industries to assess the quality of the drilling machine at a lower cost. This work is based on the rotary drilling mode with different methods based on the physicomechanical properties of the rock, machine setting parameters, and tool geometry parameters. The aim of the research presented is to develop quality of methods for determining the parameters of the rational operating regime of the rotary drilling machine during its operation in geological and mining conditions.
Antimicrobial activity and chemical analyses of seven Juniperus L. species
Authors: Ivanova Diana I. , Korona-Głowniak Izabela , Olech Marta , Malm Anna , Nowak Renata , Baj Tomasz , Tashev Alexander , Angelov George 
Published: December 2023

Abstract
The objective of this study was to present a comparative analysis of the antimicrobial activity of methanolic leaf extracts from seven Juniperus L. species, together with a tentative analysis of their total flavonoid and o-dihydroxyphenolic acids content. The chemical analyses were performed by colorimetric methods and the antimicrobial activity was assessed via broth microdilution. The studied extracts showed total content of o-dihydroxyphenols in the range of 26 to 34 µg of caffeic acid equivalent/mg DE and total flavonoid content of 13 to 24 µg of quercetin equivalent/mg DE. The sensitivity of Gram-positive bacteria to the studied extracts differed significantly with the following order of activity: J. sabina var. balkanensis > J. communis ‘Laxa’ > J. formosana > J. pinchotii > J. ashei > J. excelsa ≈ J. sibirica. Weak activity was observed for all extracts against Gram-negative bacteria and Candida strains. The analysis of the MBC/MIC ratio showed that the extracts exhibited bactericidal effect against Gram-negative bacteria (MBC/MIC≤4), while bactericidal or bacteriostatic action (MBC/MIC>4) was determined towards Gram-positive bacteria. Moreover, these extracts showed fungicidal (MFC/MIC≤4) or fungistatic effect (MFC/MIC>4). Best antibacterial activity was registered for the J. sabina var. balkanensis leaf extract. The multivariate data analyses were carried out by SIMCA 16 (v16.0.2) software. The hierarchical cluster analysis and principal component analysis, based on phytochemical and antimicrobial data, classified the studied juniper species into four groups: 1. J. ashei; 2. J. excelsa, J. sibirica; 3. J. sabina var. balkanensis, J. communis Laxa, J. formosana; 4. J. pinchotii.
The Impact of the War in Ukraine on the Information Security of the European Union’s Banking Industry – A Case Study of Hungary And Slovakia
Authors: Somogyi Tamás , Nagy Rudolf 
Published: December 2023

Abstract
This study investigates, for the first time, the impact of the war on the information security of the EU’s banking industry. This domain is critical, as i) a significant cyber incident may lead to the financial and political instability of the Member States, and ii) the efficiency of the financial sanctions adopted by the EU depends on the appropriate operation of the EU’s banking systems. Qualitative methods were used in the study; relevant literature and publicly available sector specific data were analysed, and senior information security experts from Hungarian and Slovakian banks were interviewed. The results underpin the fact that banks in the EU are facing an exceptionally high level of cyber risk; the paper attempts to provide actions responding to these risks to keep the banking industry secure.
Analysis of the Armed Conflict: A Case Study of Lord’s Resistance Army
Authors: Kocjančič Klemen 
Published: December 2023

Abstract
One of the longest-running terrorist groups on the African continent is the Lord’s Resistance Army, originating from Uganda. Using the Christianity combined with local animism and Islam as the basis of their ideology and focusing at first on the protection of the Acholi people, this group evolved from fighting their enemies to oppressing their own people. Initially an internal conflict, the activities of the Lord’s Resistance Army spread throughout the region through a proxy war between neighbouring countries, until eventually international intervention was called for. Based on the Conflict Assessment Framework, combined with other methods, this armed conflict is analysed, showing the progress of the conflict through the time.
The Dynamics of an (Armed) Conflict: The Albanian Minority in the Republic of North Macedonia
Authors: Vodlan Ajda 
Published: December 2023

Abstract
Macedonia was considered an oasis of peace in the Balkans during the 1990s, as it was the only country of the former Yugoslavia where there was no armed conflict. This changed in 2001 with a so-called “war”, which ended quite quickly, partly thanks to international intervention. Although armed conflicts in the region have not recurred in a prolonged form, almost every year new short-lived disturbances, protests, and incidents arise. This article analyses the conflict’s dynamics from the establishment of independent Macedonia to the present day as North Macedonia continues to develop and implement positive reforms for minority integration. It emphasizes the root causes of the dispute, which remain unresolved, as the Albanian minority is growing in numbers, while Macedonians, whose population is falling, observe the changes with uncertainty.
Securing Autonomy of Military Barracks Through Renewable Energy Solutions
Authors: Mori Mitja , Baškovič Urban Žvar , Katrašnik Tomaž , Šipec Robert , Drobnič Boštjan 
Published: December 2023

Abstract
This article presents a concept of establishing a network of energy self-sufficient nodes in Slovenia and the EU, within the Defence RESilience Hub Network in Europe project initiated by the Ministry of Defence of Slovenia (MORS). The goal is to reduce the energy dependence of military facilities on external suppliers. A mathematical model of a military site’s micro-grid incorporates multiple energy vectors and their conversion and storage, with a focus on hydrogen technologies. A case study of a military site in Belgium shows that an energy system with solar and wind power can provide sufficient hydrogen for transportation needs and operate the site autonomously for up to 30 days. Additionally, the carbon footprint of the military base as an energy system was calculated, indicating potential reductions in environmental impacts.
The Benefits, Challenges and Legal Regulation of Precision Farming in the European Union
Authors: Szira Zoltán , Varga Erika , Csegődi Tibor László , Milics Gábor 
Published: December 2023

Abstract
Precision farming, or precision agriculture, represents a paradigm shift in modern agriculture, integrating advanced technologies and data-driven techniques to optimize crop production processes. This paper provides an overview of precision farming, discussing its historical evolution, key technologies, benefits, challenges, and potential regulatory questions. The adoption of precision farming practices holds promise for enhancing resource efficiency, increasing crop yields, and promoting environmental sustainability. Additionally, this paper delves into the economic, environmental, and social implications of precision farming, highlighting its potential to shape the future of agriculture.