bluuebunny/crossref_metadata_2025 huggingface dataset:
Weight Regain Outcomes in Roux-en-Y Gastric Bypass vs Sleeve Gastrectomy Type of Bariatric Surgery: A Systematic Review and Meta-Analysis pf 13591 Participants
Authors: Permata Angeline Asti Shiela , Halim Evelyne Naftali , Aditya Juan , Wibowo Jeanne Gabrielle , Shantidewi Shantidewi , Rachman Manarul Iman Alfafa , Indrianto Yunita Lestari , Budianto Aries
Published: February 2025

Aim: Bariatric surgery presents a promising option for obesity treatment worldwide; however, the occurrence of weight regain (WR) post-procedure remains a significant concern. Although WR incidence following bariatric surgery has been well established, research looking specifically at particular types of surgery remains scarce. This study aims to investigate WR outcomes following two of the most popular types of bariatric surgery: Roux-en-Y Gastric Bypass (RYGB) and Sleeve Gastrectomy (SG) following substantial weight loss with a minimum 1-year follow-up. Methods: We systematically searched English-language full-text literature from Pubmed, Cochrane, Wiley Library, Proquest, SpringerLink, and ScienceDirect databases from January 2013 to September 2023. This study was registered to PROSPERO (Registration ID: CRD42023468904). Results: A total of 6 eligible good-quality cohort studies of 13591 patients were included in this meta-analysis. Our findings indicate that RYGB type significantly has less WR events compared to SG type of bariatric surgery, revealing an OR of 0.47 (95% CI: 0.34, 0.65, I² = 80%; p < 0.0001). This research may be taken into account when choosing the type of bariatric surgery a patient will undergo in the future. Conclusion: Our meta-analysis demonstrates that patients undergoing SG type of bariatric surgery are more prone to experience WR in comparison to RYGB type. Further research aimed at identifying associated risk factors would contribute significantly to advance our understanding in this domain.
Implementasi Algoritma Artificial Bee Colony dalam Penentuan Rute Terpendek Perusahaan Ekspedisi
Authors: Windayani Ni Wayan , Pramartha Cokorda Rai Adi
Published: February 2025

Jasa pengiriman barang merupakan bisnis yang menjanjikan sehingga banyak perusahaan baru yang membuka usaha ini. Akan tetapi, tidak jarang pengiriman paket mengalami keterlambatan. Dari ranah bidang ilmu Informatika, penentuan rute kurir ini termasuk ke dalam permasalahan Travelling Salesman Problem. Permasalahan TSP dapat diselesaikan menggunakan beberapa algoritma, salah satunya adalah algoritma Artificial Bee Colony atau ABC. Algoritma Artificial Bee Colony diadaptasi dari perilaku koloni lebah dalam mencari makanan. Dalam penelitian ini digunakan data primer berupa titik tujuan di wilayah kecamatan Bangli pengiriman paket PT Global Jet Express Bangli menggunakan 20 titik tujuan. Hasil dari sistem ini menunjukkan bahwa ketiga parameter yang diuji yaitu jumlah lebah, batas maksimum dan iterasi maksimum tidak menunjukkan perubahan yang signifikan untuk jarak terbaik. Pada penelitian ini jarak terpendek yang diperoleh dengan menggunakan algoritma Artificial Bee Colony adalah jumlah lebah 10, limit 20 dan iterasi maksimal 40 dengan nilai 38,42 km.
Authors: Bhavanta I Made Adika , Ayu Rahning Putri Luh Arida
Published: February 2025

Channa can be a collection and fill the aquarium at home, besides that the value of this fish is also high when exported. The identification of this fish by sight requires knowledge by paying attention to the patterns and colors of each species of fish. The pattern of each species has its own characteristics, but due to lack of understanding, information, and knowledge about the motifs of these fish, people have difficulty in recognizing and classifying these fish. The GLCM algorithm is a method of pattern recognition, this method is a matrix that is formed based on a grayscale image and this matrix calculates the frequency of occurrence of a horizontal pixel value against adjacent vertical pixels or diagonals. In this study, 30 image data were used for 3 species, namely Channa gachua, Channa maruliodes, and Channa micropeltes. Using several libraries on Google Colabs and producing a feature extraction process with degrees 0 and 45. The results from this feature extraction will be used as data for pattern recognition, namely the energy, correlation, and homogeneity features.
Authors: Nurbidin Krisphino Saputra , Suhartana I Ketut Gede
Published: February 2025

Buah Tomat adalah salah satu komoditas hasil pertanian, dimana untuk distribusi dari petani ke penjual membutuhkan rangkaian proses dan waktu yang panjang. Masalahnya tomat memiliki sifat yang mudah rusak dan membusuk sehingga mudah terpapar oleh infeksi jamur, berair dan berbau busuk mengakibatkan dapat merugikan petani ataupun pedagang. Untuk mencegah terjadinya pembusukan tomat pada saat pendistribusian diperlukan suatu sistem yang dapat membantu proses pengecekan kematangan tomat. Solusinya menggunakan metode Convolutional Neural Network (CNN) yang mana memiliki hasil yang paling signifikan dalam pengenalan citra digital. Hal tersebut dikarenakan CNN diimplementasikan berdasarkan sistem pengenalan citra pada visual cortex manusia. CNN adalah salah satu jenis neural network yang biasa digunakan pada data image. CNN bisa digunakan untuk mendeteksi dan mengenali object pada sebuah image.
The study of the analgesic and anti-edematous activity of purified naphthalan oil on the model of psoriasis
Authors: Stan I. Yu. , Zaychenko G. V.
Published: February 2025

Aim. To study the analgesic and anti-edematous activity of test samples of soft dosage forms containing purified naphthalan oil (PNO) on the model of psoriasis-like skin lesions and with additional inflammation induced by carrageenan.
Materials and methods. Psoriasis-like skin lesions were modeled by applying imiquimod to mice on a shaved area of the back skin. Additional inflammation was induced by injecting carrageenan under the plantar aponeurosis of the hind limb. The analgesic and anti-edematous effects of test samples of soft dosage forms containing PNO were studied, namely, an ointment with 10 % purified naphthalan oil and 3 % salicylic acid (PNO-SA), a cream with 10 % purified naphthalan oil and 0.064 % betamethasone dipropionate (PNO-BD), a cream with 10 % purified naphthalan oil and 10 % urea (PNO-U), and a cream with 10 % purified naphthalan oil, 0.064 % betamethasone dipropionate, and 10 % urea (PNO-BD-U). The analgesic effect of the test samples was assessed using the “tail flick” test to determine the pain threshold. The anti-edematous effect was evaluated by measuring the paw volume (standard units) using the plethysmometric method with the subsequent calculation of anti-edematous activity (AEA).
Results. It was found that in mice with psoriasis-like skin lesions, test samples containing PNO did not exhibit algogenic effects or increase the pain sensitivity. The PNO-SA ointment demonstrated a statistically significant higher pain threshold or a tendency toward a higher pain threshold on Day 14 of the treatment. In conditions of additional pain induction by carrageenan, all groups receiving PNO test samples showed an increased pain threshold 4 hours after phlogogen administration. The PNO-SA, PNO-U, and PNO-BD-U test samples also exhibited higher pain threshold values compared to the pathology control group. These findings suggest the analgesic effect of soft dosage forms containing PNO. It was found that the highest anti-edematous effect was observed in the PNO-SA group 2 hours after carrageenan administration (AEA 78.6 %) and in the PNO-U group 4 hours after administration (AEA 91.7 %). At the same time, in the PNO-SA group, unlike the other groups, there was no statistically significant increase in the paw volume during the experiment.
Conclusions. Among the test samples studied, PNO-SA is of the greatest interest taking into account the analgesic and anti-edematous activity. It is advisable to conduct further studies to assess the effectiveness and safety of this dosage form in models of psoriasis-like skin lesions in vitro and in vivo in order to develop a medicinal product for psoriasis treatment.
Molecular Characterization of Classical Enterotoxin Genes among Staphylococcus aureus Isolates from Food Handlers in Baghdad City, Iraq
Authors: Obaid Wael Adil
Published: February 2025

Staphylococcus aureus (S. aureus) represents one of the most prevalent pathogens responsible for food poisoning because of its capacity for producing staphylococcal enterotoxin. The main goal of this investigation was to determine the presence of S. aureus and evaluate its enterotoxin genes in randomly selected food handlers from different restaurants and cafeterias in Baghdad City, Iraq. A total of 325 nasal swabs were collected from healthy food handlers and examined for the presence of S. aureus and classical enterotoxin genes. The strains were determined using confirmatory biochemical, morphological, and molecular (nuc gene) techniques. Five Staphylococcal enterotoxin genes, including sea, seb, sec, sed, and see, were screened using multiplex polymerase chain reaction. Out of the 325 samples, 30.15% harbored S. aureus pathogens that were confirmed by the existence of nuc gene in all isolates. 46.93% of isolates were positive for one or more classical genes. 22.44% of these isolates harbored a single enterotoxin gene. The prevalent single gene was sea (9.1%), followed by seb (6.1%), sec (4%) and lastly, sed (3%). The see gene was not observed in any of the isolates. 14 (14.28%), 6 (6.1%) and 4 (4%) exhibited two, three, or four genes, respectively. The sea + seb (5.1%) and sea + sec (4%) were the most frequent combinations. The current data conclusively demonstrated a high rate of enterotoxigenic S. aureus nasal carriage among the food handlers studied. Thus, comprehensive and continual evaluation of hygienic protocols and infection prevention plans is strongly recommended. Finally, nasal decolonization could be one of the most effective ways to minimize staphylococcal food poisoning and protect restaurant customers.
Some Fixed Point Theorems in Intuitionistic Fuzzy Metric Space
Authors: Sabri Raghad I.
Published: February 2025

Mathematics and the applied sciences both heavily rely on fixed point ( theory. Additionally, this theory has several applications in integral equations and differential equations to guarantee the solutions' existence and uniqueness.  theory relies mainly on the Banach contraction principle. Since this idea first appeared, it has gained a lot of attention and there has been a lot of development in this field. In this paper, the concept of generalized Kannan-type() mapping is presented in intuitionistic fuzzy metric space(IFM space), and the  theory is proven. The results contain extensions of  theory in IFM-space which include the Caccioppoli  theorem. Additionally, an  instance is provided to illustrate the practical significance of the research's results
Leveraging Arabic BERT for High-Accuracy Fake News Detection
Authors: Matti Raed S. , Yousif Suhad A.
Published: February 2025

Media platforms have become essential for staying informed about events and activities around the globe. While there has been research on identifying news in English, detecting it in Arabic has been relatively overlooked. The unique linguistic characteristics and diverse slang expressions in Arabic have contributed to a scarcity of studies in this area. This research examines the effectiveness of deep learning algorithms in identifying fake news, specifically in the Arabic language. In this study, Global Vectors for Word Representation (GloVe) were used to capture the semantic relationships between words in order to improve the performance of the models. Furthermore, the utilization of Long Short-Term Memory (LSTM) and Bidirectional LSTM (BiLSTM) algorithms has shown potential in the field of neural networks for text classification purposes. The study also delves into incorporating a trained Arabic BERT (Bidirectional Encoded Representations from Transformers) model, which is widely recognized for its outstanding performance, in various natural language processing tasks. The current research utilizes the Arabic Fake News Dataset (AFND). It is a large, fully annotated dataset of Arabic fake news. The results demonstrated that, among all the investigated algorithms, Arabic BERT achieved accuracy with a score of 0.98 on the dataset. According to the results obtained, LSTM and BiLSTM achieved scores of 0.94 and 0.93, respectively, implementing GloVe word embeddings. This research showcases the effectiveness of the Arabic BERT model, alongside the LSTM and BiLSTM models, in detecting information. It highlights the contribution of BERT in enhancing accuracy when dealing with the identification and mitigation of challenges related to identifying news in Arabic-language contexts.
Enhancing IoT Security: An Optimization Algorithm for Fog Layer-Based DDoS Attack Mitigation Framework
Authors: Manaa Mehdi Ebady , Abd Al-Razaq Fryal Jassim , Al-Khamees Hussein A. A.
Published: February 2025

The Internet of Things (IoT) refers to a network comprised of interconnected items, including computing devices and digital gadgets. Cloud-based IoT infrastructures are vulnerable to distributed denial of service (DDoS) attacks. A DDoS attack has the potential to incapacitate a server for an extended duration, resulting in service disruptions as a consequence of overwhelming system resources. This research presents a novel framework for mitigating DDoS attacks in IoT networks. The proposed system leverages the fog-cloud architecture to provide efficient, lightweight, and precise attack mitigation. Notably, the mitigation process is executed at the fog layer. The suggested fog layer uses Particle Swarm Optimization (PSO) to make allocating resources easier, which makes it possible for the mitigation framework to be set up quickly. This approach addresses the challenges associated with resource management on resource-constrained IoT devices. The mitigation framework uses the Fitness Leader Optimization (FLO) approach to construct a trained database, taking into consideration factors such as the needed time, the size of the request, and the number of created requests. The FLO system employs multilayer perceptron (MLP), k-nearest neighbors (KNN), and support vector machine (SVM) classification algorithms to effectively mitigate the assault. The results of this study show that adding classification algorithms to our framework made it easier to test networks for Internet of Things (IoT) devices, especially when the Particle Swarm Optimization (PSO) method was used together. The mitigation framework demonstrates a minimized fitness value of 0.284556 seconds, showcasing enhanced resource utilization and processing time optimization for IoT nodes and servers in a distributed fog environment. The total average of resource utilization is improved to 6.0850%, processing time is decreased to 17.0397, and fitness value is decreased to 0.0258 seconds in the proposed DDoS attack mitigation system. The machine learning classification model achieves high accuracy, with SVM leading at 99.6785% compared to others, emphasizing the robustness of the proposed framework in securing IoT networks.
Development of Automatic Detection of Dust Storms for MODIS Satellite Images over Iraq Using ArcGIS Model Builder
Authors: Al-Khudhairy Aws A. , Shaban Auday H. , Al-Timimi Yaseen K.
Published: February 2025

Geographical Information Systems (GIS) provides a set of instruments and techniques to explain and display different geographical data, and ArcGIS Model Builders consider a very beneficial technique to represent these procedures in a very effective and influential manner. This paper indicates that using the ArcGIS tool Model Builder is the preferred technique to display the flux of procedures, in which the model's design is highly preferable to decrease the time consumed to apply any procedure. One model was used to explain the best methodology to resolve the issue, which deals with dust storm detection over Iraq using MODIS data. This study Facilitate Terra and Aqua MODIS satellite images; the first case was Terra / MODIS during the first half of the day with NDDI and IDDI, while the second case was Aqua/ MODIS during the second half of the day with the three thermal indices MEDI, BTV, TB beside IDDI. This study displays the effectiveness of these indices in two cases to show their validity in detecting dust storms compared to synoptic data over the study area. Besides, it displays ArcGIS Model Builder's importance in applying these Indices more efficiently and smoothly to benefit from it in serving society and the scientific community.
Utilizing Artificial Neural Networks for 2D Coordinate Transformation: A Case Study on the Reference System of Iraq
Authors: Hussein Zahraa Ezzulddin , Alhamadani Oday Zeki , Hussein Wisam Abdulkadhim
Published: February 2025

The study seeks to assess the efficacy of utilizing a Back Propagation Artificial Neural Network (BPANN) as an alternative to conventional methodologies for 2D coordinate transformation. Converting the previously used reference system in Iraq to the global system is one of the main requirements that play a main role in various applications requiring the standardization of geographic referencing for different data, including geospatial applications, remote sensing, image processing, and more. This necessitates researching and finding the most suitable methods to ensure high accuracy in the results. The Karbala 1979 (Clark 1880) of the Iraqi national geodetic network and the Iraqi Geospatial Reference System (IGRS) were currently used as geodetic reference frames in Iraq. In the context of transitioning between the local system (Karbala 1979) and the global system, specifically IGRS (ITRF2000 at epoch 1997.0), a crucial procedure involves the conversion of two-dimensional (2D) coordinate data. This conversion employed the BPANN method and conventional techniques such as affine and polynomial. The outcomes derived from the BPANN methodology are juxtaposed against those from the affine and polynomial methodologies. The findings reveal that the effective implementation of each approach within this study is contingent upon the spatial arrangement of the control points leveraged to develop the transformation model. Additionally, the root mean square error (RMSE) of BPANN ranging from 3 to 5 cm closely aligns with the outcomes achieved through affine and polynomial methods.
PENGARUH KOMPENSASI EKSEKUTIF, BEBAN PAJAK TANGGUHAN DAN FAKTOR LAINNYA TERHADAP PENGHINDARAN PAJAK
Authors: Putri Christie Dwi , Yohanes
Published: February 2025

The aim of this research is to obtain empirical evidence of the influence of profitability, leverage, company size, capital intensity, audit committee, executive compensation and deferred tax burden on tax avoidance. This research population used 59 samples with 177 consumer cyclical and consumer non-cyclical companies listed on the Indonesia Stock Exchange during the period 2020 to 2022 which were selected using the purposive sampling method. This research uses a multiple regression analysis method using the eview analysis tool. The research results show that profitability and company size have an effect on tax avoidance, while leverage, capital intensity, audit committee, executive compensation and deferred tax expense have no effect on tax avoidance. Companies with high profit levels tend to avoid taxes to maintain optimal performance. Large companies tend to use their resources to avoid taxes by not violating tax regulations.
EXPLORING THE IMPACT OF CORPORATE SOCIAL RESPONSIBILITY, GOOD CORPORATE GOVERNANCE AND ENVIRONMENTAL PERFORMANCE ON RETURN ON ASSETS
Authors: Kusuma Dewi Yonanda Roro , Tubastuvi Naelati , Purwidianti Wida , Widyaningtyas Dian
Published: February 2025

This research aimed to assess the impact of Corporate Social Responsibility (CSR), Board of Directors, Independent Commissioner, Institutional Ownership, and  Environmental Performance on Financial Performance. The population in this analysis consisted of 129 Consumer Non-cyclical sector firms listed on the Indonesian Stock Exchange from 2020 to 2023. Using purposive sampling, a sample of 45 firms with 102 observations was generated. The data was analyzed quantitatively and processed using the SPSS program. The findings of this research show that Corporate Social Responsibility negatively impacts Financial Performance and Independent Commissioners positively and significantly affect Financial Performance. Then, the Board of Directors, Institutional Ownership, and Environmental Performance do not affect financial performance. This research implies that Consumer Non-cyclical sector firms can increase the ratio of independent commissioners to enhance their financial performance, and these firms need to revisit their CSR approach to ensure it contributes more effectively to financial performance.
PENGARUH FRAUD HEXAGON TERHADAP FINANCIAL STATEMENT FRAUD (STUDI PADA PERUSAHAAN SEKTOR INFRASTRUKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA)
Authors: Maghriza Zachri , Sutoyo
Published: February 2025

Financial reports are the key to a company in order to provide a good reputation for the company. The purpose of making financial reports is to minimize the occurrence of falsification of financial information so that there is a difference of interest between agents and shareholders. This is the basis for fraud. Fraud can appear in various forms, one of which is financial statement fraud or financial statement fraud. Financial statement fraud is an action carried out by employees or company staff intentionally, resulting in misrepresentation of financial statements and the omission of material information in financial statement reporting. In this study, the hexagon theory is used as an assessment that can trigger financial statement fraud. The factors used include pressure, opportunity, rationalization, capability, arrogance and collusion. This study aims to test the effect of fraud hexagon on financial statement fraud in infrastructure sector companies listed on the Indonesia Stock Exchange (IDX) for the period 2021-2023 consecutively. The analysis technique used in this study is the multiple linear regression method. The design of this study is quantitative causality supported by secondary data. The sampling technique used a purposive sampling method that focused on 132 observation data with samples of companies in the infrastructure sector listed on the Indonesia Stock Exchange in 2021-2023. The results of hypothesis testing and multiple linear regression analysis show that collusion has an effect on financial statement fraud. Meanwhile, pressure, opportunity, rationalization, capability and arrogance do not affect financial statement fraud.
PENGARUH PEMANFAATAN BIG DATA ANALYTICS ATAS INTEGRASI NIK-NPWP TERHADAP TINGKAT KEPATUHAN PAJAK
Authors: Fathurahman Iman Mastur , Murtanto  , Nugroho Eko Adi
Published: February 2025

This study explores the effect of the integration of the Population Identification Number (NIK) into the Taxpayer Identification Number (NPWP) supported by Big Data Analytics technology on the level of tax compliance in Indonesia. In the digital era, the integration of NIK-NPWP is a strategic policy that aims to simplify tax administration, expand the taxpayer database, and reduce tax avoidance. However, the level of taxpayer compliance remains a significant challenge. Using exploratory methods and thematic analysis of qualitative data, this study examines the effectiveness of Big Data Analytics in detecting tax violations and understanding taxpayer perceptions of this policy. Attribution theory is used to analyze compliance motivation, both intrinsic and extrinsic. The results of the study show that the integration of NIK with NPWP on the use of Big Data Analytics to improve tax payment compliance. This is consistently felt by both the Fiscus and taxpayers. The results of this study can be input for the government in formulating more effective policies in improving tax compliance. The results of this study can be input for the government in formulating more effective policies in improving tax compliance. In addition, this study can also contribute to the taxation study, especially related to the use of information technology in improving the efficiency and effectiveness of the taxation system.
The Opportunity of Ai Technology to Increase The Value Chain of Oil Palm Plantation
Authors: Sediyono Agung , Solihah Binti
Published: February 2025

Indonesia produced 58,4% of worldwide oil palm production, and the contribution of the plantation sub-sector in 2022 is 3,76% of PDB and 30,32% of the Agriculture, Forestry, and Fishery sectors. However, oil palm production in Indonesia is lack of productivity and efficiency compared to other countries, especially Malaysia.  Therefore, this paper tries to explore the opportunities of AI technology to increase the value chain of the oil palm plantation, especially in productivity and efficiency. The scope of exploration started from oil palm seeding, nursery,  planting,  and harvesting. Based on the oil palm plantation value chain review and the previous research works in AI implementation on value chain respectively, it can be concluded that AI technology has been explored to be implemented in oil palm plantations intensively. However, there is still enough room for improvement especially in accuracy rate and adoption feasibility for smallholder planters. Moreover, IoT and drone technology have a big potential to be adopted because the plantation is mostly hard-to-reach areas by humans, for instance high oil palm bunch, long distance journey for inspection and maintenance, wild animal threat, etc.
Büyük Verinin Yönetişim Alanındaki Yerinin Bibliyometrik Analiz ile İncelenmesi
Authors: Engin Melih
Published: February 2025

Gelişen teknoloji ile birlikte çok miktarda, hızlı ve farklı türlerdeki verilerin saklanabilmesini ve işlenebilmesini mümkün kılan büyük veri teknolojileri sayesinde özel sektör ve kamu kurumlarında yönetilenlerin ve tüm iç-dış paydaşların da karar vermede etkin olması sağlanabilmektedir. Büyük verinin işlenebilmesi yönetim anlayışındaki dijital dönüşümün, yönetişimin hayata geçirilebilmesinin önemli adımlarından birisi olarak görülebilir. Bu nedenle bu çalışmada, bibliyometrik analizini yapmak için SCOPUS veritabanından 2004 ve 2023 yılları arasında yönetişim ve büyük veri ile ilgili 895 farklı kaynakta yayınlanmış 1.449 makale ve 4.001 yazardan oluşan veri seti elde edilmiştir. Elde edilen bulgularda, 2004 yılından itibaren yayın sayısında yıllık ortalama %28,4 artış gözlenmiş, ortalama belge yaşının 4,4 olması sebebiyle son yıllarda yönetişimde büyük veri kullanımının popüler olduğu düşünülmüştür. Bu konuda, en çok makale yayınlayan ilk üç ülkenin Çin, ABD ve Birleşik Krallık olduğu görülmüştür. Tematik haritalandırılması ile yönetişimde büyük veri ile ilgili yapılan araştırmaların temel temalarının büyük veri, yönetişim, veri yönetişimi, akıllı şehirler ve kurumsal yönetişim olduğu görülmüştür. Niş temalarının ise dijital ekonomi ve kazanç yönetimi; motor temalarının e-yönetişim, açık veri ve şeffaflık; kurumsal sosyal sorumluluk konusunun ise azalan tema alanında yer aldığı görülmüştür.
A Bibliometric Analysis of International Trade and Environment
Authors: Aktaş Çimen Zeynep
Published: February 2025

The aim of this study is to examine the scientific research literature on international trade and environment through bibliometric analysis. The Web of Science database was used for the study data, covering the period 1991-2023. The data were analyzed using VOSviewer 1.6.20 software. A cluster analysis was performed on the analysis results. According to the findings of the analysis, the most co-authored author is Manfred Lenzen, the most cited author is Thomas Wiedmann, the most co-cited author is John Barrett, and the three most used keywords are trade, China, and climate. The author with the highest link strength is Manfred Lenzen and the country with the highest number of co-citations is the United States of America. The journal with the highest number of publications related to the researched area is Ecological Economics. This study is of particular importance for researchers who want to gain a holistic perspective on international trade and environment by identifying key indicators in the scientific literature on international trade and environment.
OPTICAL CONTROL OF INTERCELLULAR CALCIUM DYNAMICS IN INDUCED PLURIPOTENT STEM CELL-DERIVED CARDIOMYOCYTES WITH HYPERTROPHIC CARDIOMYOPATHY*
Authors:   Moscow Institute of Physics and Technology, Dolgoprudny, Alkhateeb R. ,   Vladimirsky Moscow Regional Research and Clinical Institute, Semidetnov I.S. , Romanova S.A. , Slotvitsky M.M. , Tsvelaya V.A. , Agladze K.I.
Published: February 2025

Since the treatment of hypertrophic cardiomyopathy (HCM) is symptomatic and given the lack of early diagnostic methods [1],
the development of targeted therapies and diagnostic tools that can detect early alterations in excitation abnormalities in HCM patients
is important to improve the condition of the patients and stop the progression of the disease. Implementing patient-specific induced pluripotent stem cells-derived cardiomyocytes has an advantage as it allows testing specific therapeutic interventions for a specific case.
Moreover, the combination of experimental and computational approaches to explore additional parameters and mechanisms involved
in HCM, will help uncover new therapeutic targets and strategies.
KITETICS AND MECHANISMS OF OXIDATIVE HEMOLYSIS OF ERYTHROCYTES UNDER THE INFLUENCE OF RADICAL INITIATORS OF LIPID PEROXIDATION
Authors:   Federal Research Center of Problems of Chemical Physics and Medicinal Chemistry RAS, Сhernogolovka, Dubenskaia N.A. ,   Lomonosov Moscow State University, Sokolova E.M. , Psikha B.L. , Neshev N.I.
Published: February 2025

The kinetics of oxidative hemolysis of a 0.2 % suspension of mouse erythrocytes under the influence of radical-forming initiators of a peroxide nature: cumene hydroperoxide (Cumyl-OOH), hydrogen peroxide (HP), tert-butyl hydroperoxide (t-BuOOH) and
2,2’-azobis (2-amidinopropane) dihydrochloride (AAPH), belonging to the diazo compounds family.
A scoping review : Potential nutraceutical values of bioactive compounds and antioxidant activity in durian seed – An exotic tropical plant
Authors: Aisyah Siti , Harioputro Dhani Redhono , Nurwati Ida
Published: February 2025

Background: Durian is a tropical fruit with a unique flavour and intense aroma. All parts of durian are reported to have many health benefits, especially the seeds. The seeds are known to have higher antioxidant activity and phytochemical compound than the pulp. Durian seeds are food waste that has the potential to be reused in the food and health industry.
Objective: This article provides information on the presence of bioactive compounds, antioxidant activity, and the potential use of durian seeds as therapeutic agents.
Methods: The study used a scoping review with four databases: Google Scholar, PubMed, DOAJ, and ScienceDirect. Scoping is needed to complete the article, summarize scientific data, and as a future reference regarding the nutraceutical potential of durian seeds.
Results: A total of 6 articles were reviewed based on the screening results. The bioactive compounds found in these articles are phenolics, flavonoids, α-tocopherol, terpenoids, saponins, anthraquinones, and several flavonoid classes such as catechin, rutin, isoquercitrin, quercitrin. Total phenolic content (TPC) and antioxidant activity were highest in the Chanee durian seed cultivar compared to the Monthong type and various other cultivars from several countries.
Conclusion: Durian seeds as food waste seem to have potential as a nutraceutical. Known as food waste that is rarely utilized, based on several studies, durian seeds have several benefits, one of which is to overcome various diseases. Further research needs to be done to prove that durian seeds can be helpful in the food industry as well as in pharmaceutical and cosmetic applications.
Effect of magnesium supplementation on glycemic control in type 2 diabetes mellitus
Authors: Apriyanti G Anita Janetthe , Sinaga Wina
Published: February 2025

Background: Diabetes mellitus is one of the most serious and common chronic diseases, leading to life-threatening, disabling and costly complications, and reducing life expectancy. Poor intracellular magnesium concentration may contribute to insulin resistance, whereas higher magnesium levels are associated with increased insulin sensitivity. This study aimed to investigate the effect of magnesium supplementation on glycemic control in patients with type 2 diabetes.
Objective: This study aimed to investigate the effect of magnesium supplementation on glycemic control in patients with type 2 diabetes.
Methods: A literature search was conducted using three major databases: PubMed, Cochrane Library, and EBSCOhost. MeSH terms, advanced search, and eligibility criteria were used for title and abstract screening after removing duplicates. Critical assessment tools and levels of evidence of the final articles are based on the Oxford Center for Evidence-Based Medicine.
Results: A meta-analysis and two RCTs met the PICO and eligibility criteria. One meta-analysis found that magnesium supplementation significantly reduced fasting blood glucose and HbA1c. One RCT reported that magnesium supplementation significantly improved HbA1c, insulin levels, and HOMA-IR. Another RCT found that there were no differences in HbA1C and continuous glucose monitoring.
Conclusion: Magnesium supplementation may have a beneficial effect on glycemic control in patients with type 2 diabetes. However, further research is needed to establish optimal dosage and the most effective form of magnesium supplementation.
Evaluation of the prevalence, and relationship between nutritional status, malnutrition, and quality of life in cancer patients undergoing chemotherapy in Mashhad, Iran in 2023
Authors: Zeyghami Ali , Keikhay Moghadam Hanieh , Babaei Arvin , Bari Ali-Reza , Hamedi‑Shahraki Soudabeh , Shahidsales Soodabeh , Dahri Monir
Published: February 2025

Introduction: Cancer patients face high risks of malnutrition, low muscle mass, and sarcopenia due to decreased intake and treatment side effects. This malnutrition can lead to longer hospital stays, higher mortality, lower quality of life, and poor treatment tolerance. The purpose of this study is to evaluate the prevalence and relationship between nutritional status, malnutrition and quality of life in cancer patients undergoing chemotherapy in Mashhad, Iran in 2023.
Method: In a cross-sectional study, we evaluated 237 cancer patients from Razavi, Nazeran, Qhaem, and Omid Hospitals using the Patient-Generated Subjective Global Assessment (PG-SGA). Data analysis was conducted with SPSS version 21.
Results: Among the 237 patients assessed, 61.6% were identified as female. The PG-SGA scores indicated that the prevalence of malnutrition and the risk of malnutrition were 89.9% (n=213) and 7.2% (n=17), respectively. Our findings revealed significant differences in physical function, role function, and emotional status dimensions between the malnourished group and the normal/at-risk malnutrition group (P < 0.001). In contrast, no significant differences were found in cognitive function and social function. Furthermore, there were significant variations in fatigue, pain, and appetite levels between the malnourished group and the normal/at-risk malnutrition group, as assessed by the QoL questionnaire.
Conclusion: It was determined that 89.9% of cancer patients across all treatment modalities were malnourished and required immediate care. Gastrointestinal cancer was found to have the highest malnutrition rates when compared to other cancer types.
Correlation of energy and protein intake with nitrogen balance changes in late acute phase critically ill patients
Authors: Githa Putri Puspita Sari  , Witjaksono Fiastuti , Sutanto Krisadelfa , Singal Anna Maurina
Published: February 2025

Background: The hypercatabolic process due to metabolic stress in critically ill patients, especially in the acute phase, is very high, causing protein degradation. Inadequate intake and high protein losses will result in a negative nitrogen balance.
Objective: To analyze the correlation of energy and protein intake in the late acute phase with nitrogen balance changes.
Methods: This study’s method was cross−sectional with consecutive sampling, conducted in the ICU of the university of Indonesia hospital. Energy and protein intake were assessed for 7 days. On days 3 and 7 of treatment, 24−hour urine urea nitrogen levels and nitrogen balance (NB) were assessed. Twenty three subjects participants in this study.
Results: There was a positive correlation between energy and protein intake with NB on day 3 (r=0.5, p=0.01 ;r=0.6, p=0.003). The mean nitrogen balance changes was positive, namely 3.8 g. There was a significant correlation between energy and protein intake with NB changes (p>0.01)
Conclusion: Energy and protein intake were positively correlated with nitrogen balance in the early acute phase. The results show that the administration of energy and protein starting at low intake in the early acute phase and gradually reaching the target intake during the late acute phase leads to an improvement in nitrogen balance.
Correlation between body mass index and 25(OH)D levels in pregnant women
Authors: Sudarma Verawati , Liman Patricia Budihartanti , Istriana Erita , Hamid Jan B Jan Mohamed  , Mediana Achmad
Published: February 2025

Background: Vitamin D is a vitamin that has a positive effect on maternal and infant health. The mother's nutritional status affects vitamin D levels, where one of nutritional status is expressed in body mass index (BMI). It has been assumed that BMI has the potential to influence the mother's vitamin D levels.
Objective: This study analyzes the correlation between BMI and 25(OH)D levels in pregnant women.
Methods: This observational analytical study examines data from the medical records of pregnant women who underwent antenatal examinations at the AMS Clinic Kemang from January 2022 to December 2023. The data analyzed were maternal age, gestational age at the time of vitamin D examination, gestational age at delivery, 25(OH)D levels, and maternal BMI. The Pearson correlation or Spearman Rank test was used in bivariate analysis, with a significance level of p<0.05.
Results: The mean maternal age was 33.45±6.24 years, with the median gestational age at the time of vitamin D examination being 6.5 mg. The median gestational age at birth was 39 weeks, with vitamin D levels of 20.8 ± 7.8, and a median BMI of 24.22 kg/m2. Based on the results of the Spearman statistical test analysis, there is a strong negative significant correlation between body mass index and levels of 25(OH)D in pregnant women (r -0.747; p=0.008).
Conclusion: Pregnant women's body mass index correlates negatively with levels 25 (OH)D. Therefore, it is recommended that pregnant women maintain a BMI within the normal range.
The role of Artificial Intelligence in nutritional assessment in clinical practice
Authors: Pansawira Pittara
Published: February 2025

Nutrition plays a crucial role in clinical practice, impacting immune function, disease prevention, and treatment. However, assessing a patient’s nutritional status remains challenging due to individual differences and the limitations of traditional methods like dietary recalls and food diaries, which can be subjective and time-consuming.
Artificial Intelligence (AI), particularly machine learning, is emerging as a powerful tool to enhance nutritional assessments. AI can quickly and accurately analyze large datasets, enabling both patients and clinicians to track and manage dietary intake, blood sugar levels, and other health metrics through apps and wearable devices.
Despite its promise, AI in nutrition faces challenges such as data accuracy, potential misdiagnoses, and ethical concerns related to data privacy and security. Nonetheless, as technology advances, AI is set to play an increasingly significant role in nutrition diagnostics and healthcare, offering new possibilities for personalized and efficient nutritional management.
Association between mother’s purchase intention of iron-fortified infant cereal and iron intake among children aged 6-23 months in Tangerang, Indonesia
Authors: Simatupang Yustina Rossa , Chandra Dian Novita , Khusun Helda , Februhartanty Judhiastuty , Iswarawanti Dwi Nastiti , Sari Okky Lupita
Published: February 2025

Background: Iron deficiency can lead to anemia, negatively impacting children's cognitive and physical development. Mothers' knowledge of iron and the benefits of fortified complementary foods may have influenced their purchase intentions and decisions.
Objective: This study aimed to investigate the association between mothers' purchase intentions, actual purchases of iron-fortified infant cereals, and iron intake in children aged 6–23 months in Tangerang, Indonesia. Research on this topic remained limited, emphasizing the need for further studies to strengthen the existing evidence.
Methods: This study employed a cross-sectional design involving 162 mothers in pairs with their children aged 6–23 months, recruited consecutively. Data were collected using validated questionnaires. Data analysis was performed using the non-parametric Mann-Whitney test to compare groups and Spearman's correlation test to assess the strength of relationships between variables. A p-value < 0.05 was considered statistically significant.
Results: Mothers showed positive attitudes and intentions towards purchasing iron-fortified cereals, with a notable 51.9% having made recent purchases. While these purchase intentions correlate with actual purchases, they did not directly influence children's iron intake. Instead, factors such as mother’s education, occupation, and household income played significant roles in determining iron intake levels.
Conclusion: Purchase intentions were associated with actual purchase intention; however, factors such as gender, mother’s education, occupation, and household income did not exhibit a direct relationship with children's iron intake. This study indicates that while mother’s purchase intentions are associated with actual purchases, they do not directly impact children's iron intake.
A qualitative study on the experiences of the prospective brides about nutritional preparation during the preconception period
Authors: Emirza Phellia , Wiradnyani Luh Ade Ari , Ermayani Evi
Published: February 2025

Background: Stunting is still a nutritional problem in Indonesia, where maternal malnutrition is one of the causes.  Studies show that prospective brides and women of childbearing age in Indonesia are not physically and knowledgeably ready for pregnancy. Nutritional preparation is crucial during preconception, as preconception nutritional status can have cross-generational impacts, yet it is often overlooked.
Objective: This study aimed to explore the experiences of prospective brides regarding nutritional preparation during the preconception period.
Methods: This qualitative research was conducted in Bogor, Indonesia, using in-depth interviews and participatory methods. The main informants of this study were 20 prospective brides selected through convenience sampling. Additionally, 21 key informants were involved for triangulation. Data analysis was conducted by coding verbatim transcripts using NVivo12 software. The results of this study used a pre-determined theme aligned with the research objectives.
Result: Almost all informants agreed that preconception nutritional preparation was crucial before marriage. Several nutritional preparation activities carried out by prospective brides emerged from this study, such as pre-pregnancy weight management and eating nutritious and healthier foods. However, many prospective brides still did not perform these activities optimally.
Conclusion: Many prospective brides were already putting efforts to undertake nutritional preparation.  However, knowledge gaps and misunderstandings among brides and grooms regarding nutritional preparation persist. There is a need to improve their awareness at preconception period and ensure government programs are accessible, equitable, and effective. This study offers new insights into nutritional preparation for brides, an area that is underexplored.
Natural antioxidants and their impact on female reproductive health
Authors: Dhiman Neena K. , Saini Rashmi
Published: February 2025

Antioxidants are essential for fertility and reproductive health. Cellular oxidative and nitrosative stress induced by free radicals might negatively impact fertility and reproductive organ function. Numerous reproductive complications and disorders, such as endometriosis, polycystic ovarian syndrome, oocyte aging, dysmenorrhea and premenstrual syndrome, spontaneous abortion, and infertility, have been linked to imbalances in the oxidant/ antioxidant interaction. Studies have examined dietary antioxidant supplementation that has been the focus of dietary antioxidant treatment for the treatment and/or prevention of recurring spontaneous abortions and infertility that cannot be explained. The sources are exploited which can abolish reactive oxygen species from our system for the management of reproductive diseases and in promoting fertility and normal reproductive physiology. This review focuses on the antioxidant therapies for the prevention and treatment of reproductive disease linked to oxidative stress, as well as the function antioxidants play in female reproductive health and fertility.
Mèmes et discours misogynes, homophobes et xénophobes : quels contre-discours ?
Authors: Longhi Julien , Vicari Stefano , Attruia Francesco
Published: February 2025

This article examines the techno-discursive and argumentative strategies deployed in Internet memes
“responding” to various instances of hate speech on social and political issues such as immigration,
xenophobia, and homophobia. First, we present the object “meme” to characterize its scriptural and
enunciative features and highlight its discursive and enunciative specificity. We then analyse a pilot
corpus collected to explore certain dimensions of this object, aiming to understand the memetic
strategies implemented by Internet users to counter hate. By detailing, in particular, the argumentative
methods used to respond to xenophobic hate, we identify two original dimensions: the staging of
viewpoints and their interweaving to counter hate, and the use of an anti-ethos that ridicules the bearer
of hate speech.
Ion-Exchange-Mediated Pre-Association Gates Interfacial PCET
Authors: Lewis Noah B. , Kelly Joseph , Gardner Joel G. , Razdan Neil K. , Ardo Shane , Markland Tom , Surendranath Yogesh
Published: February 2025

Interfacial proton-coupled electron transfer (I-PCET) is typically viewed as a single elementary reaction despite the accepted recognition that analogous solution-phase reactivity requires proton donor/acceptor pre association. Herein, we examine the role of pre-association in I-PCET to a molecularly well-defined graphite-conjugated carboxylic acid (GC-COOH) surface site. We quantify electrolyte proton activity and I PCET kinetics in acidic, acetate-buffered, and alkaline electrolytes as a function of NaClO4 concentration ranging from 1 mole kg−1 to 17 mole kg−1. Measured I-PCET rates at GC COOH are attenuated by a factor of 4.3 in acidic and 4.6 in acetate-buffered media relative to the rates expected based on the solution pH across this ionic strength range. In contrast, in alkaline electrolytes the apparent rate of I-PCET is far less diminished upon increasing NaClO4 concentration. To account for these findings, we propose a multiple-step model for I-PCET in acidic and acetate-buffered media that invokes quasi-equilibrated exchange of interfacial Na+ for H3O+ to form a hydrogen-bonded pre association complex prior to rate-limiting concerted proton-electron transfer. In this model, a decrease in the ratio of interfacial vs bulk Na+ activity with added electrolyte inhibits H3O+ pre-association, a phenomenon that is also captured in our molecular dynamics simulations. These studies emphasize the non-innocence of the supporting electrolyte species and exposes the key role pre association equilibria play in I-PCET mechanisms. The work suggests that control over pre-association equilibria could be used as an effective handle for tailoring interfacial ion transfer reaction kinetics.