bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tailoring Exercise Prescription for Effective Diabetes Glucose Management
Authors: Lewis Claudia , Rafi Ebne , Dobbs Brandi , Barton Tanner , Hatipoglu Betul , Malin Steven K 
Published: January 2025

Abstract

Context
Physical activity, exercise, or both are a staple of lifestyle management approaches both for type 1 diabetes mellitus (T1DM) and type 2 diabetes (T2DM). While the current literature supports both physical activity and exercise for improving glycemic control, reducing cardiovascular risk, maintaining proper weight, and enhancing overall well-being, the optimal prescription regimen remains debated.

Evidence Acquisition
We searched PubMed and Google Scholar databases for relevant studies on exercise, insulin sensitivity, and glycemic control in people with T1DM and T2DM.

Evidence Synthesis
In patients with T1DM, exercise generally improves cardiovascular fitness, muscle strength, and glucose levels. However, limited work has evaluated the effect of aerobic plus resistance exercise compared to either exercise type alone on glycemic outcomes. Moreover, less research has evaluated breaks in sedentary behavior with physical activity. When considering the factors that may cause hypoglycemic effects during exercise in T1DM, we found that insulin therapy, meal timing, and neuroendocrine regulation of glucose homeostasis are all important. In T2DM, physical activity is a recommended therapy independent of weight loss. Contemporary consideration of timing of exercise relative to meals and time of day, potential medication interactions, and breaks in sedentary behavior have gained recognition as potentially novel approaches that enhance glucose management.

Conclusion
Physical activity or exercise is, overall, an effective treatment for glycemia in people with diabetes independent of weight loss. However, additional research surrounding exercise is needed to maximize the health benefit, particularly in “free-living” settings.
Peroral Endoscopic Myotomy in a Patient With Gastric Bypass, a Therapeutic Challenge in the Management of Postoperative Achalasia
Authors: Córdoba Guzmán Andrea Carolina , Fuentes Carlos Fernando , Sabbagh Luis Carlos 
Published: January 2025

ABSTRACT
Achalasia is a rare esophageal motor disorder characterized by incomplete relaxation of the lower esophageal sphincter and ineffective contraction of the esophageal body. This condition is not often associated with obesity; however, in recent years, cases of achalasia after bariatric surgery have been described. We describe the case of a 30-year-old female patient with a history of gastric sleeve surgery in 2018, which, 4 years after the intervention, presented with dysphagia, regurgitation, and weight loss. A diagnosis of achalasia was made, and peroral endoscopic myotomy was performed.
A Boundary among Reference, Sense and Meaning: An Essence for Translating Rhetorical Statements
Authors: Fattah Bikhtiyar O. 
Published: January 2025

This study, which examines the contributions of the translators’ awareness of the boundary among the notions reference, sense and meaning in translating rhetorical statements, aims at identifying the notions of reference, sense and meaning and how the translators’ familiarity with a boundary among these concepts would be helpful in the process of translating rhetorical statements. This process is a very challenging one because the translation of such types of statements could not be fulfilled without translators’ familiarity with the three essential levels of meaning which are: referential meaning (reference), conceptual meaning (sense), and contextual meaning (meaning). This study employs a qualitative approach to determine the influence of translators’ familiarity with the boundary among these notions and their contributions in the process of translating rhetorical statements. It is qualitative for having an experimental group and a controlling group of translators to investigate the influences of being familiar with the notions of reference, sense and meaning on their translation. One of the significant findings of this study is that Kurdish translators who are not familiar with the boundary among these notions usually resort to referential meaning (reference) and conceptual meaning (sense) in translating rhetorical statements; however, after being familiarized with these notions and their distinctive features, they effectively employ contextual meaning (meaning) in translating rhetorical statements and arrive at the precise and understandable translation of them.
Quantifying the Economic Cost of the Qatar Blockade Using Synthetic Control
Authors: Shiva Mehdi 
Published: January 2025

Abstract
This study evaluates the economic impact of the 2017 Qatar blockade using synthetic control methods. The analysis shows that Qatar’s GDP in 2022 was approximately 24 % lower than without the blockade, equating to a loss of 82 billion international dollars in 2017 constant prices. Despite Qatar’s proactive strategies, including trade diversification and infrastructure investment, the economic cost remains substantial. Short-term financial commitments and resource reallocation to mitigate the blockade’s effects likely strained public finances and slowed growth. The study underscores the economic toll of the blockade and suggests further research into the long-term effects of Qatar’s policy responses.
Development and comparison of recombinase polymerase amplification assays for the detection of chicken-derived ingredients in food products
Authors: Zhou Cang , Wang Jinfeng , Liu Libing , Dong Zhenguo , Fu Qi , Chen Minna , Sun Xiaoxia , Xu Xiangdong , Wang Jianchang 
Published: January 2025

The recombinase polymerase amplification (RPA)-based assays, formulated with the ND5 gene, were developed to meet the requirement of detecting different breeds of chicken-derived ingredients in deep-processed foods. The RPA assay demonstrated good inter-species specificity and intra-species conservation, exhibited high sensitivity (10 pg genomic DNA/reaction), high limit of detection, 0.1% (w/w). In all, 20 samples, including sausages and compound seasonings were used to compare the RPA assay developed for this study and other assays. RPA worked along with the polymerase chain reaction method described in SN/T 2978-2011 standard and a previously described protocol. Three compound seasonings containing small amounts of chicken juice or chicken meat showed discrepancies between GB/T 38164-2019 and the remaining methods because of sensitivity issues. Overall, the chicken-specific RPA assay was successfully developed, taking 20–25 min from sample processing to final output.
Screening a precipitation stable isotope database for inconsistencies prior to hydrological applications – examples from the Austrian Network for Isotopes in Precipitation
Authors: Erdélyi Dániel , Hatvani István Gábor , Derx Julia , Kern Zoltán 
Published: January 2025

Abstract
The ratio between the heavy and light stable isotopes in precipitation (δ
p) is an effective tool in answering questions in hydrology, climatology, biogeochemistry and other disciplines, but only if spatiotemporally sufficient data is available provided by precipitation monitoring networks. However, when gathered into large databases this can contain errors that can severely impact research outcomes. The present study aims to systematically identify and propose, for the first time, a screening procedure and possible adequate solution(s) to database errors detected in precipitation stable isotope monitoring networks in a reproducible way. The proposed approach is a distance-based outlier detection variant heavily relying on empirical inspection of spatially clustered δ
p time series. The core of the methodology consisted of screening the (i) δ
18O vs. δ
2H cross plot and (ii) δ
p station time-series, and comparing them to their neighbors by organizing the δ
p monitoring stations into spatial domains. Potential errors were categorized into (i) point anomalies (isolated erroneous data points) and (ii) interval anomalies (sustained errors over time). The approach is demonstrated on the Austrian Network for Isotopes in Precipitation, a data base that collects data on a monthly basis since 1972 with more than 70 active stations at its peak in 2014. In this sense, it is a crucial backbone for understanding hydrological processes in Central Europe. At 10 stations only point anomalies were found, at six stations only interval anomalies (Achenkirch, Bad Bleiberg, Hütten, Lahn, Salzburg, Schoppernau), and at five (Apetlon, Podersdorf, Saalfelden, Villacher Alps, Weyregg) both kind of anomalies were detected. By addressing these errors case-by-case the reliability of a precipitation isotope database for hydrological and climatological research could be enhanced.
Civilization Nature of European Legal Culture
Authors: Sinyukov V. N. , Sinyukov S. V. 
Published: January 2025

. The paper analyzes the civilizational sources of European legal culture. The relevance of the subject matter can be explained by the complex dynamics of the European cultural tradition that is currently undergoing a transformation. The involvement of various cultural flows in the genesis of the legal essence of Europe complicates the understanding of the modern cultural identity of European law. An important motive for the study was to clarify the place of the Slavic historical tradition of law in the European cultural space. The genesis of the European legal tradition is considered on the basis of the features of the Greco-Roman civilization. The Authors have characterized the features and spiritual (religious) sources of further development of European law, namely: Christianity and Islam. The study also highlights typological legal correlations. It explains the features of the European legal mentality and concludes that a special type of European legal consciousness was formed in the Middle Ages. It combines religious, mental, state-secular and folk elements. The authors draw a conclusion on heterogeneity of the civilizational elements of the European legal culture, the inclusion of various civilizational flows in it — Greco-Roman, Christian (Western and Eastern churches), Muslim and Jewish.The paper outlines the contours of the split of European legal consciousness in the Middle Ages based on the rupture of the Western and Eastern churches; explains the legal meaning of some elements of doctrinal practice. It provides a civilizational characteristic of the Slavic legal culture, its anti-rationalism and a special type of procedural thinking. It shows the significance of Muslim culture in the development of the European legal tradition; reveals the historical features of the judicial-customary type of European legal civilization. Based on the historical analysis of the formation of the European legal tradition, the authors summarize modern trends in the new integration of European legal identity.
Natural language processing: The current state of the art and challenges
Authors: Taye Mohammad Mustafa , Abulail Rawan , Al-Ifan Belal , Alsuhimat Fadi 
Published: January 2025

The use of deep learning techniques in natural language processing (NLP) is examined thoroughly in this study with particular attention to tasks where deep learning has been shown to perform very effectively. The primary strategies explored are phrase embedding, function extraction, and textual content cleaning. These are all essential for sorting textual content statistics and files. It appears in important gear like software programs, hardware and extensively used libraries and cutting-edge programs for deep learning in NLP. In NLP, deep learning is turning into a chief fashion, changing many areas and making large modifications in many fields. This paper stresses how deep analyzing techniques have a good-sized-ranging effect and how vital they may be for shifting the world in advance. This paper also discusses how deep learning may assist in solving modern issues and handling challenging and stressful situations in NLP research. Since those methods are getting more popular, it indicates that they're top at handling many NLP responsibilities. The final part of the evaluation talks about the most current makes use of, developing traits and long-term troubles in NLP. It helps practitioners and lecturers determine and use the capabilities of deep learning in the dynamic field of natural language processing with its applicable facts and examples.
One health approach on zoonotic helicobacter pylori in animals and man
Authors: Eissa Nourhan , Mohamed Maha A , Shahban Rahma S , Badrkhan Salma M , Mohamed Jana F , Elsayed Somaya A , Harb Ola H 
Published: January 2025

Zoonotic disease-causing microbes are those naturally spread from animals to people, either directly or indirectly, with a serious hazard on the public health. Emerging zoonoses are mostly caused by travel, animal transhumance, population increase, and migration from rural to urban regions. Regarding the principal transmission route of Helicobacter pylori (H. pylori), one of the most global prevalent anthroponotic illnesses, not a lot of information is currently known. In the 20th century, H. pylori contribute to individuals stomach problems and cancer. Subsequently, an extensive amount of study has been conducted on the epidemiology of this intestinal infection, revealing that the likelihood of illness varies throughout individuals. This is a concise overview of the several epidemiological factors connected to zoonotic H. pylori infection. There are notable differences in the epidemiology of H. pylori in human and animal populations between developing and developed nations. Moreover, a multiplicity of consistent lines of evidence suggests that demographic data, different individual habits, socioeconomic position and living conditions are the main risk factors influencing the acquisition rate of H. pylori pathogen. These results are troubling since they are expected to change global demography and increase the number of people susceptible to H. pylori and its emergence. To reduce the danger to public health and the associated economic effects, stakeholders in the H. pylori management plan need to start merging technological, social, political, policy, and regulatory problems and working together. An active mitigation program offers the chance to address global health concerns and halt the development of zoonoses.
Assessing grain yield of quality protein maize under low soil nitrogen through associated agronomic traits
Authors: Oloyede-Kamiyo Qudrah Olaitan , Akinwale Richard Olutayo , Adewumi Adedotun Daniel , Oladipo Mayowa Segun , Akintunde Adewole Taiwo , Ojo Abigail Oluremi 
Published: January 2025

The study was conducted to improve a quality protein maize (QPM) population, ART/98/ILE 1-OB, for tolerance to low soil nitrogen, and to investigate the agronomic characters that are linked to grain yield of QPM in low soil nitrogen environments. S1 lines were selected in the maize population at cycle one (C1) in a recurrent selection programme, for evaluation to move to cycle 2 (C2). Data were collected on agronomic traits, stay-green ability (SGR) and grain yield (GY) and analysed using SAS. SGR rating at 8 weeks after planting (8WAP) was moderate under low nitrogen (3.09). GY was slightly higher under low nitrogen (LN) (2.19 tons/ha) than under high nitrogen (HN) condition (1.98 tons/ha). There were notable negative phenotypic and genotypic correlations between grain yield (GY) and traits such as days to 50% anthesis and silking, stay green rating (SGR), ear aspect (EA), and plant aspect (PA). In contrast, positive correlations were observed with plant height (PH) and number of ears per plant (EPP). In stepwise regression, EPP emerged as the most significant character under LN (R2 = 45%), with EA, SGR at 8WAP (SGR8), and PH following closely. EPP showed the highest positive direct effect on grain yield, followed by SGR8. EA had the highest negative direct effect. PC1 alone, which was mostly linked to PH, accounted for 96.5% of the overall variation. These findings underscore the importance of EPP, EA, SGR8 and PH as selection criteria in enhancing QPM productivity under LN conditions.
Influence of varieties and growing seasons on the distribution of Botryodiplodia theobromae causing fruit rot disease of coconut
Authors: Ekhorutomwen Osayomore Endurance , Chidi Nnamdi Ifechukwude , Owoh Ekaete Mary , Shittu Olalekan Hakeem 
Published: January 2025

This study examines an intensive field survey on the fruit rot disease of coconut that was conducted between April 2021 and March 2023 to observe the distribution of Botryodiplodia theobromae causing the coconut fruit rot disease across varieties and growing seasons in 2 major coconut-growing areas in Ovia North-East Local Government Area, Edo State, Nigeria. Coconut (Cocos nucifera L.) is an important economic crop. Its production is affected by several factors; among them, diseases play a major role. The fruit rot disease of coconut is a disease frequently encountered by coconut farmers. Fruit rot disease incidence was recorded daily from coconut fields cultivated with four different coconut varieties. The study examined a total of 8764 coconut fruits from 32 coconut palms. The causal agent of fruit rot was isolated from the internal tissues of infected fruits using the direct plating technique in potato dextrose agar. The causal agent of the disease was identified as B. theobromae. The study found that the relative distribution of B. theobromae in the study area significantly explained the proportion of the disease distribution in coconut varieties across the growing seasons. The study reveals a high level of variability in the percentage of disease incidence (PDI) between coconut varieties and fruit rot. The distribution and/or relative abundance of B. theobromae causing the fruit rot disease of coconut is influenced by coconut varieties and growing seasons in the two coconut-growing areas examined in the study.
Evaluation of the Costs and Outcomes of COVID-19 Therapeutic Protocols in Critically Ill Patients in Alzahra Hospital, Isfahan, Iran
Authors: Davari Majid , Mousavi Sara , Maracy Mohammad Reza , Khorasani Elahe , Zamani Masih , Amirsadri Mohammadreza 
Published: January 2025

Background: During the COVID-19 pandemic, different drug protocols were used to treat and manage patients. Considering the diversity in these protocols and the high costs associated with the disease, we aimed to evaluate the costs and effects of the most common therapeutic protocols among critically ill COVID-19 patients.
Methods: In this retrospective cross-sectional study, a total of 235 critically ill COVID-19 patients were randomly selected from those hospitalized in the Intensive Care Units of Alzahra Hospital, Isfahan, Iran, between July and December 2020. The study assessed demographic data, outcomes (mortality rate), severity of the disease (SOFA score), and average direct costs of each therapeutic regimen. Statistical analysis included Cox-Regression analysis and Kaplan-Meier survival curve.
Results: We identified 21 therapeutic protocols based on prescribed medications, with six protocols being the most commonly used. The protocol containing dexamethasone + methylprednisolone showed the highest survival probability (0.79) with a median length of hospital stay of 17 days. Cost evaluation revealed that the dexamethasone protocol had the lowest average cost per patient, while the dexamethasone + methylprednisolone + remdesivir protocol had the highest. Hoteling costs accounted for 45% of the total costs, followed by medication costs (25%).
Conclusion: The dexamethasone + methylprednisolone therapeutic regimen demonstrated the highest effectiveness in terms of survival probability and was also associated with the lowest average cost per patient.
Implementation of Hybrid Genetic Algorithm for Solving the Teacher Placement Problem
Authors: Wirayanti Ni Komang Ayu , Sriwindono Haris 
Published: January 2025

The teacher placement problem is a combinatorial problem that would take a very long time to solve in a deterministic way. In this study, the problem will be solved using a hybrid genetic algorithm, which combines genetic algorithms with local search methods. The genetic algorithm operators used include roulette wheel selection, two point crossover, and scramble mutation. While the local search used is reverse, insert, and swap local search. The results showed that from the three experiments using hybrid genetic algorithms, it was found that hybrid genetic algorithms were more effective than ordinary genetic algorithms. The use of hybrid genetic algorithm with swap local search technique produces the best total minimum distance (10099.09 km) at a mutation probability ratio of 1:250, number of chromosomes 10, and number of iterations 500. The hybrid genetic algorithm can improve the placement of teachers and is expected to contribute to improving the quality of education in Magelang district where the primary data is obtained.
Special Issue on Advanced Design and Performance Evaluation of Production Systems
Authors: Matsubara Atsushi 
Published: January 2025

The development of machining and measurement systems is increasingly driven by the demands of digital transformation (DX) and green transformation (GX). Addressing the critical challenges across various fields, including design, manufacturing, inspection, maintenance, and recycling, has become essential to meet the requirements of labor reduction, skill-free operation, and efficiency improvement throughout the entire production process. In addition, it is crucial to ensure social prosperity while managing resource consumption by integrating solutions to these challenges. Consequently, the fundamental performance of production-support tools, such as machine tools, assembly machines, industrial robots, and measuring instruments, must be enhanced. It is equally important to enable the seamless flow of design, evaluation, and operational information throughout the value cycle. This special issue features seven papers highlighting the latest advancements in production systems in the following areas:
- Design and analysis methods for machining fixtures
- Machine tool design, simulation, and evaluation methods
- Measurement and monitoring of machining processes
We extend our heartfelt gratitude to the authors for their valuable contributions, and to the reviewers for their meticulous efforts.
ANALISA PRODUKSI ENERGI PHOTOVOLTAIC SEBAGAI INFRASTRUKTUR PENGISIAN DAYA MOBIL LISTRIK DI KANTOR DPRD MUARO JAMBI
Authors: Matalata Hendi , Wustha Johar Leily , Yulianto Didik , Sahputra Riki , Rizki Aldiansyah Rioni 
Published: January 2025

Sektor otomotif sangat penting untuk mencapai net zero emisi global guna membatasi pemanasan global karena 65% hingga 80% emisi yang dihasilkan berasal dari knalpot dan emisi tidak langsung berasal dari bahan bakar. Pada tahun 2050 volume produksi minyak bumi diperkirakan akan turun 55% dan gas turun 70% dan batu bara tidak akan diproduksi lagi. Untuk itu pemerintahan daerah, khususnya provinsi Jambi dapat menjadi pelopor tentang kesiapan penggunaan kendaraan listrik yang dimulai dari pemakaian/penggunaan mobil-mobil dinas disetiap instansi pemerintah. Kabupaten Muaro Jambi (Sengeti) berjarak 30,4 Km dari kota Jambi, dimana rata-rata pegawai pemerintahannya berdomisili di kota Jambi dan setiap hari menggunakan kendaraan mobil dinas berbahan bakar fosil. Hal ini tentunya menjadi permasalahan keamanan energi global untuk jangka panjang. Pada penelitian ini dilakukan analisis data tentang radiasi matahari dan produksi energi sistem Photovoltaic (PV) menggunakan aplikasi web Photovoltaic Geographical Information System (PVGIS) yang berlokasi di kantor DPRD Muaro Jambi dimana data digunakan sebagai insfrastruktur pengisian daya untuk 1 unit mobil listrik dalam satu kali perjalanan. Dari hasil penelitian terdapat potensi energi sistem Photovoltaic (PV) sebagai infrastruktur pengisian daya mobil listrik dan memungkinkan untuk 2 unit mobil listrik dengan spesifikasi yang sama, dikarenakan terdapat energi rata -rata perhari tidak ditangkap sebesar 5512,2 Wh.