bluuebunny/crossref_metadata_2025 huggingface dataset:
Scientific substantiation of agrotechnical methods of cultivation of onions on sandy soils
Authors: Rabdanova Z. K. , Magomedova D. S. , Kurbanov S. A.
Published: January 2025

Relevance. In the “Strategy for Socio-Economic Development of the Republic of Dagestan for the Period until 2030,” one of the main tasks of developing an effective agro-industrial complex and ensuring food security is the rational use of agricultural lands, conducting an inventory and bringing unused lands into circulation. The sandy lands of the republic used for transhumance livestock farming; farming is local in nature. The experience of a number of regions of Russia indicates that sandy lands, with proper development and the availability of water resources, can contribute to the development of irrigated agriculture and their involvement in agricultural use.

The purpose of the research was to scientifically substantiating onion agricultural techniques on the sandy lands of flat Dagestan, ensuring a profitable harvest based on a drip irrigation system and the use of growth stimulants.

Methods. In the conditions of the flat zone of the Republic of Dagestan, in the conditions of the Makhachkala Educational and Experimental Farm OJSC (Open Joint Stock Company), in 2020, a model experiment launched with the Terek-Kuma sands for growing onions at different crop densities, with different layouts of drip lines and droppers and with the use foliar fertilizing with organomineral fertilizer Biostim universal during the growing season. "Educational and Experimental Farm"

Results. It has been established that on sandy lands, sparse sowing of onion seeds is most preferable – 425 thousand plants/ha with plants placed every 0.1 m in a row with a drip line placement pattern of 0.3×0.2 m and the use of a growth stimulator Biostim Universal. This combination of studied agro-technical techniques ensures the production of up to 30 t/ha of marketable products. The calculation of economic efficiency showed a profitability of 163%.
Technical and technological equipment of vegetable crops production in Russia
Authors: Soldatenko A. V. , Avarskii N. D.
Published: January 2025

Relevance and Methods. The study is devoted to the analysis of the state of technical and technological support for the production of vegetable crops in Russia. During the research, the following methods were used: analytical, monographic, economic-statistical and expert assessment.

Results. It provides data on self-sufficiency in vegetable production, production of vegetable crops in farms of all categories over the past 5 years, as well as changes in the cost of production and the cost of sales of these products. The issues of providing vegetable growing with agricultural machinery and equipment, the introduction of digitalization processes in the vegetable growing sub-sectors, as well as existing measures of its state support are considered. As a result of the analysis of the current state of technical and technological support for vegetable growing, as well as the existing state support for the production of vegetable crops, the main elements that need to be developed to increase the efficiency of this sub-branch of crop production have been identified.

Conclusion. Vegetable growing is one of the most significant sub-sectors of crop production, ensuring consumer demand of the population and food security in Russia; in order to achieve the necessary level of self-sufficiency in vegetable production, appropriate technical and technological support for their producers is necessary; to solve this problem, it is necessary to introduce innovative technologies for the production of vegetable products, as well as to provide the necessary amount of modern high-performance machinery and equipment, which is possible only with effective state support for the technical and technological modernization of vegetable production.
Polimorfismo del gen PAPPA2 asociado con la fertilidad postparto en vacas lecheras de raza Holstein manejadas bajo condiciones cálidas en el sur de Sonora México
Authors: Luna Nevarez Pablo , Álvarez-Tavares Isabel , Torres Simental José , Leyva-Corona José , Medrano Juan F. , Thomas Milton G. , Zamorano-Algandar Ricardo , Nieblas-López Manuel Ignacio
Published: January 2025

El manejo reproductivo en vacas lecheras en el sur de Sonora es un reto debido al clima cálido característico, por lo que la selección genética para fertilidad es deseable. El objetivo fue estudiar la asociación entre polimorfismos de nucleótido simple (SNPs) del gen PAPPA2 y caracteres de fertilidad postparto en vacas Holstein lactantes. Un total de 362 vacas fueron incluidas en el estudio. Muestras de sangre individuales fueron recolectadas y vaciadas en tarjetas FTA, las cuales fueron usadas para la extracción de ADN y genotipificación de dos SNPs del gen PAPPA2. Posteriormente se realizó un estudio asociativo entre los genotipos de los SNPs y caracteres reproductivos postparto, usando un modelo estadístico de efectos mixtos. Sólo el SNP rs109952914 se asoció con todos los rasgos reproductivos estudiados por lo que fue retenido para el análisis de substitución alélica. El alelo favorable del SNP rs109952914 fue el alelo T (P < 0.05), ya que éste aumentó el porcentaje de preñez a primer servicio (+12.60), y redujo los servicios por concepción (-0.16) y los días abiertos (-19.52). En conclusión, un SNP dentro del gen PAPPA2 resultó ser predictor de la fertilidad postparto, por lo cual se recomienda usarlo como marcador genético en programas de mejoramiento animal para incrementar la eficiencia reproductiva en vacas Holstein expuestas a condiciones ambientales cálidas.
Aktywizacja – innowacja – akulturacja. (Glotto)dydaktyka a kryzys migracyjny
Authors: Banach Agnieszka , Syrek Małgorzata , Bursiak Marta , Kownacka Patrycja , Žák-Caplot Katarzyna , Koniuk Michalina , Ludwicka Aleksandra , Kostrzewa Joanna , Mazowiecka Kornelia , Tatar Wiktoria , Pawlik Paulina
Published: January 2025

Tom jest rezultatem konferencji studencko-doktoranckiej zatytułowanej „Aktywizacja – innowacja – akulturacja. (Glotto)dydaktyka a kryzys migracyjny”, która zgromadziła młodych badaczy z całego kraju pragnących podzielić się doświadczeniami związanymi z nauczaniem języka polskiego jako obcego. Zagadnienia w nim poruszane są odpowiedzią na dynamicznie zmieniające się potrzeby adeptów polszczyzny, którzy podczas nauki chcą być pobudzani do działania (aktywizowani), najlepiej z wykorzystaniem unowocześnionych (innowacyjnych) metod dydaktycznych. W całym procesie nauczania nie może też zabraknąć miejsca na poszerzanie świadomości kulturowej (akulturacji), ponieważ jest to nieodłączne ogniwo współczesnej rzeczywistości. Te właśnie kwestie stanowią temat rozważań zawartych w publikacji.
Interakcje kulturowe podczas rocznego kursu języka polskiego. Studenci z Konga i Angoli – studium przypadku
Authors: Koniuk Michalina
Published: January 2025

Niniejszy artykuł został poświęcony interakcjom kulturowym mającym miejsce podczas rocznego intensywnego kursu języka polskiego organizowanego na UMK w Toruniu w dwóch grupach afrykańskich: kongijskiej i angolskiej. Obserwacja zachowań studentów, przez tak długi czas pozwoliła zidentyfikować przejawy różnic kulturowych zachodzących między uczącymi się. Podyktowany względami organizacyjnymi podział pozwolił także przyjrzeć się interakcjom kulturowym wewnątrz grup. Celem artykułu jest przedstawienie różnic i podobieństw między kulturą kongijską a angolską i zaprezentowanie na tym tle problemów dydaktycznych popartych przykładami z pracy lektorskiej.
Różnice kulturowe między Polską a Kambodżą w kontekście nauczania języka polskiego jako obcego – studium przypadku
Authors: Ludwicka Aleksandra
Published: January 2025

Przedmiotem niniejszego artykułu jest zaprezentowanie roli różnic kulturowych między Polską a Kambodżą w procesie nauczania języka polskiego jako obcego. Celem jest ukazanie, jak różnice (lub ich brak) w poszczególnych aspektach wpływają na przyswajanie języka oraz kultury przez Khmera. W pracy wykorzystano koncepcję wymiarów kultury zaproponowaną przez Geerta Hofstedego, by zobrazować różnice oraz podobieństwa Kambodży i Polski.
KEPATUHAN KONSUMSI TABLET TAMBAH DARAH DENGAN KEJADIAN ANEMIA PADA IBU HAMIL DI PUSKESMAS SUKASARI
Authors: Urbaningrum Aliza Fatma , Ratnasari Febi Ratnasari , Faridah Ida Faridah , Wibisono AYG Wibisono
Published: January 2025

ABSTRAKPendahuluan: Anemia pada ibu hamil didefinisikan sebagai konsentrasi hemoglobin kurang dari 11 g/dL. Anemia dalam kehamilan yang paling sering terjadi di Indonesia disebabkan oleh defisensi zat besi sebanyak 62,3% yang dapat menyebabkan keguguran, partus prematus, inersia uteri, partus lama, atonia uteri dan menyebabkan perdarahan serta syok. Pemerintah melakukan upaya pencegahan anemia ibu hamil dengan program suplementasi tablet sulfas ferosus, yang diberikan selama 90 hari sejak pertama kali ibu hamil memeriksakan kehamilannya. Tujuan: Mengetahui hubungan kepatuhan konsumsi tablet tambah darah dengan kejadian anemia pada ibu hamil di Puskesmas Sukasari. Metode: Metode penelitian ini adalah studi deskriptif korelasional yang menggunakan teknik purposive sampling menggunakan kuisioner MMAS-8 dengan sampel berjumlah 106 responden. Hasil: Hasil ini menunjukkan nilai p = 0,000 dengan koefisien korelasi hubungan kepatuhan konsumsi tablet tambah darah dan kepatuhan minum tablet tambah darah 0,544 yang mana terdapat hubungan antara kepatuhan mengonsumsi tablet tambah darah dengan kejadian anemia pada ibu hamil di Puskesmas Sukasari Tahun 2024.Kata Kunci: Kepatuhan, Tablet Tambah Darah, Anemia, Ibu Hamil ABSTRACTIntroduction: Anemia in pregnant women is defined as a hemoglobin concentration of less than 11 g/dL. The most common anemia in pregnancy in Indonesia is caused by iron deficiency as much as 62.3% which can cause miscarriage, preterm partus, uterine inertia, prolonged partus, uterine atony and cause bleeding and shock. The government makes efforts to prevent anemia in pregnant women with the sulfas ferosus tablet supplementation program, which is given for 90 days from the first time pregnant women check their pregnancy. Objective: To determine the relationship between compliance of blood supplementation tablet consumption with the incidence of anemia in pregnant women at Sukasari Health Center. Methods: This research method is a descriptive correlational study using purposive sampling technique using the MMAS-8 questionnaire with a sample of 106 respondents. Results: The results showed a p value = 0.000 with a correlation coefficient of the relationship between adherence to taking blood-added tablets and adherence to taking blood-added tablets 0.544, which means there is a relationship between adherence to taking blood-added tablets and the incidence of anemia in pregnant women at the Sukasari Health Center in 2024.
GAMBARAN FAKTOR-FAKTOR PEMERIKSAAN PAYUDARA SENDIRI SEBAGAI DETEKSI DINI KANKER PAYUDARA
Authors: Cathryne Joice , Siahaan Jessica Elisabeth , Soumokil Marsha Petrosina , Cengga Maria Teresia , Sampepadang Mega
Published: January 2025

Kanker payudara menyumbang kematian terbanyak dikalangan wanita. Pemeriksaan payudara sendiri penting untuk dilakukan sebagai deteksi awal dan dapat meningkatkan peluang sembuh jika kanker diketahui lebih dini. Berdasarkan survei awal kepada 20 mahasiswi keperawatan di satu universitas swasta Tangerang, didapatkan 90% mahasiswi tidak pernah mendapatkan informasi SADARI, 90% tidak pernah melakukan SADARI, dan 10% mahasiswi memiliki riwayat kanker payudara di keluarganya. Tujuan dari penelitian ini adalah untuk mengetahui gambaran faktor-faktor pemeriksaan payudara sendiri sebagai deteksi dini kanker payudara. Metode penelitian mengunakan kuantitatif jenis deskriptif dengan sample penelitian sebannyak 199 mahasiswi keperawatan tingkat pertama pada satu universitas swasta di Tangerang yang ditentukan dengan teknik purposive sampling, penelitian ini dilakukan pada bulan Februari - April 2024.  Teknik analisis univariat digunakan dalam penelitian ini dan menunjukkan 83,9% responden memiliki tingkat pengetahuan cukup tentang pemeriksaan payudara sendiri, 54,3% responden memilki sikap negatif, 60,3% responden berperilaku kurang, 100% responden mendapatkan dukungan tenaga kesehatan dalam ketegori baik, dan 54,5% responden mendapatkan informasi mengenai pemeriksaan payudara sendiri dari petugas puskesmas. Perilaku dalam melakukan periksa payudara sendiri dipengaruhi oleh banyak faktor dan untuk penelitian selanjutnya diharapkan dapat melakukan penelitian terkait hubungan pengetahuan, sikap, perilaku, dukungan tenaga kesehatan, dan keterpaparan informasi terhadap pemeriksaan payudara sendiri.
Implications of the Ukrainian crisis for the EU defense sector: cases of Germany and France
Authors: Kramnik I. , Timofeev P. , Khorolskaya M.
Published: January 2025

The article deals with implications of the conflict in Ukraine for the defense sector in two leading states of the European Union – Germany and France – in 2022–2024. The authors explore the evolution of defense sector at three levels: strategic, economic (budgets and armed forces modernization), and industrial (development of military production). It is shown that while Germany and France partially borrow the experience of military operations in Ukraine, it does not lead to comprehensive transformation of their armies and transition to a “war economy”. The analysis of the German and French military budgets and army modernization priorities reveals the increase in military spending. Both countries accelerate weapons procurement and modernization, but their rearmaments are moderate. The focus on several key areas of German and French defense sector (air defense systems, armored vehicles, artillery, artillery shells, and aviation) confirms previously identified trends: both countries step up production for certain types of weapons (armored vehicles, air defense, artillery), but avoid comprehensive build up of production capacities. The slow and partial capacity building stems from uncertainty in Berlin and Paris about the future military demands and from the lack of state military procurement. Besides, despite some joint initiatives, Germany and France tend to specialize rather than to combine capabilities in developing their military-industrial complexes.
Israel-Palestine: revisiting one-state reality and exploring alternatives
Authors: Kaloian G.
Published: January 2025

Review of: Barnett M., Brown N.J., Lynch M., Telhami Sh. (eds.). The One State Reality: What Is Israel/Palestine? (Ithaca: Cornell University Press, 2023)
The complexity of peacebuilding: insights from the field
Authors: Elizarov M.
Published: January 2025

Review of: Autesserre S. The Frontlines of Peace: An Insider's Guide to Changing the World (Oxford University Press, 2021)
Terrorism in Southeast Asia: from al-Qaeda to ISIS and to the present day
Authors: Rogozhina N.
Published: January 2025

The article examines the process of evolution of terrorism in the Muslim regions of Southeast Asia. Its activation is linked to the involvement of Southeast Asian radicals in international terrorist networks, which transforms the terrorist landscape in Southeast Asia, with a concomitant increase in violence and extremism. This meets the request of part of the Muslim community to create a regionwide Islamic caliphate governed by the Sharia law. The article analyzes the reasons for the transformation of Southeast Asia into one of the epicenters of international terrorism, which leads to counterterrorism response that has in turn spurred the adaptation of terrorist groups’ strategy and tactics. The case studies used to explore this transformation are the largest terrorist structures in the region, in particular "Jemaah Islamiyah" and "Jamaah Ansharut Daulah". At the present stage, a degree of fragmentation and autonomization of terrorist organizations can be traced. While this reduces the threat of major terrorist attacks, this probability cannot be excluded in view of the ongoing processes of radicalization and religious indoctrination of a part of the Muslim community that retains confidence in the use of violence as a means of creating an Islamic state in Southeast Asia. The factors contributing to the spread of this ideological narrative in a part of the Muslim community are considered, including the special role of the Internet and social links in its self-radicalization. The most vulnerable group is the youth. "Jemaah Islamiyah"’s decision to self-dissolve is a critical moment in the fight against terrorism in Southeast Asia. However, as the main socio-economic and political causes of radicalization of some Muslims are not addressed, the threat of terrorist attacks is assessed to remain at a fairly high level.
Editorial
Authors: Andonova Elena , Canahua Sosa Hugo Enrique
Published: January 2025

Editorial
Finding a Published Research Paper Which Meaningfully Averages the Most Pathalogical Functions (v3)
Authors: Krishnan Bharath
Published: January 2025

I want to meaningfully average a pathalogical function (i.e., an everywhere surjective function whose graph has zero Hausdorff measure in its dimension). In case this impossible, we wish to average a nowhere continuous function defined on the rationals. We do this taking satisfying expected values of chosen sequences of bounded functions converging to f which are both equivalent and finite. As of now, I’m unable to solve this due to limited knowledge of advanced math and most people are too busy to help. Therefore, I’m wondering if anyone knows a research paper which solves my doubts. Unlike the previous paper, “Finding a Research Paper Which Meaningfully Averages Pathalogical Functions (V2)" [1] we modified the equations, the theorems, the approach to solving theorems in the blockquote, and the leading question which solves the blockquote. We also deleted unnecessary definitions to make the paper less complicated.
The Case for Monitoring for Legionella pneumophila in Drinking Water Distribution Systems
Authors: LeChevallier Mark William
Published: January 2025

As cases of Legionnaires’ disease increase worldwide, there is uncertainty on whether water management plans should focus on the measurement of Legionella species or specifically on L. pneumophila. This paper makes the case that, for public water systems and buildings, the target organism should be L. pneumophila as it is the overwhelming cause of illness, has simple methods for analysis, and remediation procedures avoid unnecessary costs that produce little public health benefit.
Read Literature Like a Map
Authors: Liu Wenhui , Li Qingfeng , Li Guanghuai
Published: January 2025

Reviews and bibliometrics can assist researchers in acquiring structural knowledge. However, reviews may not always be available for every specific topic, and bibliometrics fails to consider the actual content of papers. AI tools can facilitate the acquisition of detailed information more easily, but their reliability can be questionable, and researchers must first identify the relevant papers. This study introduces a framework, literature map, that integrates the actual content of papers into vectors and clusters them. These clusters are then translated into a map view, with customized summarizations generated by a large language model to reveal structural knowledge. Graph knowledge and text chunks are extracted from the internal text of the literature and integrated into a graph database, enabling both global and local searches for detailed knowledge. The literature map framework is both universal and customizable, and can serve as a complement to reviews and bibliometrics. A video example has been uploaded to YouTube at www.youtube.com/watch?v=phkr9Efv9fI.
Designing a Composite Hydraulic Cylinder using Genetic Algorithms
Authors: Stosiak Michał , Lubecki Marek , Karpenko Mykola
Published: January 2025

The paper points out the growing interest in the use of composite materials for responsible components, including hydraulic components. The non-negligible benefits of using composite materials in mechanical engineering were pointed out. However, applications of new materials sometimes give rise to new challenges. The strength parameters of a new structure, such as a composite cylinder for a hydraulic cylinder, depend on its structure, including the number of fiber layers and the angle of their arrangement. This paper presents the application of a genetic algorithm to optimize the process of selecting the structure of a composite cylinder of a hydraulic cylinder. A block diagram of the algorithm for optimizing the structure election process is presented, and the designed structure is verified.
Refreshing the Nervous System Based on Step-by-Step Body Washing
Authors: Mousavi Seyed Kazem
Published: January 2025

This research explores the interplay between the heart, brain, and body cells through based on step-by-step body washing. Earlier studies have delved into the connections between health and washing as well as the links between heart rate and bathing. Health is defined here as the synchronization between the brain, heart, and body within the context of the natural universe structure. The investigation focuses on the physical relationship between the brain, self-awareness, and determinism. The human heart is the central regulator of consciousness and self-awareness. One of the most important findings of this research is the interpretation of unconscious events, sleep, and the deterministic world around us through the step by step washing of the body.
The Impact of Artificial Intelligence on Education: The Applications, Advantages, Challenges and Researchers’ Perspective
Authors: Choi Wan Chong , Choi Iek Chong , Chang Chi In
Published: January 2025

Artificial Intelligence (AI) has transformed education through various applications, including Generative Artificial Intelligence (AIGC), Chatbots, Intelligent Tutoring Systems (ITS), and Large Language Models (LLMs). Key applications included personalized learning support through chatbots and ITS, generative AI for writing assistance and assessment, AI-driven predictive models, and innovative approaches like project-based and game-based learning. Advantages highlighted were efficiency enhancement, inspiration and creative support, personalized learning experiences, and automation of repetitive tasks. However, challenges persisted, including academic integrity concerns, potential suppression of creativity and critical thinking, inaccurate or biased information, overemphasizing outcomes over processes, and accessibility and fairness issues. Additionally, researchers’ perspectives on AIGC emphasized its transformative potential while underscoring ethical considerations. The paper concluded with reflections on educators' responsibilities in embracing AI, fostering AI literacy, and promoting equitable and ethical integration of AI tools in education.
Balancing Cost Management and Service Excellence: Supplier Relationship Challenges in Italian Restaurants
Authors: Warwick Isabelle
Published: January 2025

This research explores the challenges and strategies Italian restaurants employ to balance cost management with service excellence, a key issue in the competitive restaurant industry. The study examines the interplay between supplier relationships, operational efficiency, labor management, service quality, sustainability, and the integration of technology. Data was collected through in-depth interviews with 41 restaurant owners and managers, providing insights into the complexities of maintaining high standards while managing operational costs. The findings reveal that supplier relationships are critical to ensuring both cost-efficiency and quality, with long-term partnerships and local sourcing being central to achieving favorable terms. Waste reduction and inventory control were identified as effective cost management strategies, with technology playing a significant role in improving operational efficiency. However, small businesses faced barriers in adopting technology due to high initial costs. Labor costs, particularly for skilled staff, were highlighted as a major concern, with employee retention strategies such as training and creating a positive work environment being essential to maintaining service standards. Sustainability emerged as an increasing priority, with many restaurants adopting eco-friendly practices, although these efforts often came with added costs. The research also emphasizes the importance of menu engineering, pricing strategies, and customization options in balancing customer demand with profitability. This study offers valuable insights for restaurant owners and operators, highlighting the need for a comprehensive approach that integrates multiple strategies to achieve both financial sustainability and service excellence.
Psychometric Properties of the ACE-IQ Questionnaire’s Binary and Frequency Scoring in a Chilean Community Sample
Authors: Santelices Maria-Pia , Velasco-Hodgson Maria-Carolina , Ferreccio Catterina , Undurraga Catalina , Carvajal-Araneda Karla
Published: January 2025

Background/Objectives: Adverse Childhood Experiences (ACEs) impact social, emotional, psychological, and physical development, often leading to health risk behaviors in adulthood. Instruments like the International Questionnaire of Adverse Childhood Experiences (ACE-IQ) are essential for assessing ACEs globally and confirming their association with health outcomes in adulthood. Methods: This study evaluates the ACE-IQ's validity in a Chilean cohort by analyzing the prevalence of ACEs and the instrument's psychometric properties. Structural validity, internal consistency, and concurrent validity were assessed using the Marshall Scale as a comparative measure. Additionally, binary and frequency scoring methods were compared. Results: Structural validity analyses showed the best fit for three- and four-dimensional models using frequency scoring. The overall internal consistency of the scale was adequate (α > 0.7), although dimensions such as childhood neglect and violence outside the home demonstrated lower internal consistency. Concurrent validity showed significant positive correlations between ACE-IQ scores (both binary and frequency methods) and the Marshall Scale. Conclusion: The ACE-IQ demonstrates adequate reliability for the full scale, with strong evidence of construct validity using the frequency scoring method and concurrent validity for both scoring methods. These findings support the ACE-IQ's use for measuring childhood adversities in Chile and assessing their association with adult health outcomes.
A Novel Non-Invasive Mouthpiece Model for Evaluating Oral Hypofunction: Focus on Mastication and Stomatognathic Dynamics
Authors: Kikuchi Mika , Yonemitsu Ikuo , Saisho Koji , Tanaka-Takemura Yuka , Mikami Naoaki , Watanabe Mayuka , Takemura Hiroshi , Soga Kohei , Suga Kazuhiro , Uo Motohiro , Ono Takashi
Published: January 2025

Background/Objectives: Oral hypofunction mechanisms have been examined through studies investigating the relationship between the number of remaining teeth, bite force, mastication ability, and lateral induction factors influencing chewing pathways. How-ever, many previous studies have lacked consistent verification across the same subjects, leaving key contributing factors unaddressed. This study aimed to develop a reliable oral hypofunction model using non-invasive mouthpieces. Methods: Ten healthy adults (five men, five women; mean age: 28.4 ± 1.5 years old) with normal occlusion and no sto-matognathic abnormalities participated. Experiments were conducted under four condi-tions: (I) no mouthpiece; (II) a mouthpiece with large occlusal contact areas and canine guidance; (III) a mouthpiece with large occlusal contact areas but no canine guidance; and (IV) a mouthpiece with small occlusal contact areas and no canine guidance. The outcomes assessed were maximum bite force, occlusal contact area, mastication ability, and sali-vation. Results: A strong positive correlation was identified between occlusal contact area and maximum bite force. Furthermore, occlusal contact was positively correlated with mastication ability. The presence of lateral induction factors, such as canine guidance, demonstrated a significant influence on these outcomes. Conclusions: The findings align with those of previous studies and validate the use of this mouthpiece model for simu-lating oral hypofunction. This model, adaptable for use in healthy individuals, supports larger-scale studies under controlled conditions to better elucidate the mechanisms un-derlying oral hypofunction.
Exponential Stability for a Degenerate/Singular Beam-Type Equation in Non-Divergence Form
Authors: Akil Mohammad , Fragnelli Genni , Sbai Amine
Published: January 2025

The paper deals with the stability for a degenerate/singular beam equation in non-divergence form. In particular, we assume that the degeneracy and the singularity are at the same boundary point and we impose clamped conditions where the degeneracy occurs and dissipative conditions at the other endpoint. Using the energy method, we provide some conditions to obtain the stability for the considered problem.
Accelerating Disease Model Parameter Extraction: An LLM-based Ranking Approach to Select Initial Studies For Literature Review Automation
Authors: Sujau Masood , Wada Masako , Vallee Emilie , Hillis Natalie , Susnjak Teo
Published: January 2025

As climate change transforms our environment and human intrusion into natural ecosystems escalates, there is a growing demand for disease spread models to forecast and plan for the next zoonotic disease outbreak. Accurate parametrization of these models requires data from diverse sources, including scientific literature. Despite the abundance of scientific publications, the manual extraction of this data via systematic literature reviews remains a significant bottleneck, requiring extensive time and resources, and is susceptible to human error. To address this challenge, a novel automated parameter extraction framework, CliZod is presented. A crucial stage of the automation process is to screen scientific articles for relevance. This paper focuses on leveraging large language models (LLMs) to assist in the initial selection and ranking of primary studies, which then serve as training examples for the screening stage. By framing the selection criteria of articles as a question-answer task and utilising zero-shot chain-of-thought prompting, the proposed method achieves a saving of at least 60% work effort compared to manual screening at a recall level of 95% (NWSS@95%). This was validated across four datasets containing four distinct zoonotic diseases and a critical climate variable (rainfall). The approach additionally produces explainable AI rationales for each ranked article. The effectiveness of the approach across multiple diseases demonstrates the potential for broad application in systematic literature reviews. The substantial reduction in screening effort, along with the provision of explainable AI rationales, marks an important step toward automated parameter extraction from scientific literature.
Enhancing Warehouse Operations with IoT Integrating RFID for Real-Time Inventory Tracking and Cloud-Based Data Management
Authors: Fajinmi John , Oloyede Joseph
Published: January 2025

The integration of the Internet of Things (IoT) into warehouse operations is revolutionizing inventory management by enabling real-time tracking and efficient data handling. This study explores the implementation of Radio Frequency Identification (RFID) technology and cloud-based data management systems to enhance warehouse efficiency and accuracy. RFID tags and readers facilitate seamless, automated inventory tracking, reducing manual errors and improving visibility across supply chains. The incorporation of cloud platforms ensures centralized data storage, real-time updates, and remote access to critical information, enabling better decision-making and operational scalability. By combining IoT-enabled RFID systems with cloud technologies, warehouses can achieve improved inventory accuracy, reduced operational costs, and enhanced productivity. This paper also addresses the challenges of system integration, data security, and cost considerations, providing a roadmap for businesses aiming to modernize their warehouse operations.
AI and Sustainable Procurement: A Path to Green Supply Chains
Authors: Segun-Ajao Emilia
Published: January 2025

This research is about the transformative role of Artificial Intelligence (AI) in driving sustainable procurement and fostering green supply chains. As global businesses increasingly prioritize sustainability, AI offers a powerful tool for optimizing procurement processes while aligning with environmental, social, and governance (ESG) goals. By leveraging AI technologies such as machine learning, predictive analytics, and natural language processing, organizations can enhance resource efficiency, reduce waste, improve supplier transparency, and mitigate environmental and social risks. We highlight how AI supports ethical sourcing, circular economy practices, and carbon footprint reduction, contributing to more resilient and sustainable supply chains. It also addresses the challenges of integrating AI into procurement, including technological barriers, data reliability, and ethical concerns. Looking ahead, the article emphasizes the importance of aligning AI strategies with global sustainability goals and fostering collaboration across industries to achieve a greener and more ethical procurement landscape. Ultimately, AI has the potential to revolutionize supply chains, creating a future where sustainability and ethical practices are at the core of procurement decisions.
Finding Multiple Optimal Solutions to an Integer Linear Program by Random Perturbations of its Objective Function
Authors: Schulhof Noah , Sukprasert Pattara , Ruppin Eytan , Khuller Samir , Schaffer Alejandro A.
Published: January 2025

Integer linear programs (ILPs) and mixed integer programs (MIPs) often have multiple distinct optimal solutions, yet the widely-used Gurobi optimization solver returns certain solutions at disproportionately high frequencies. This behavior is disadvantageous, as, in fields such as biomedicine, the identification and analysis of distinct optima yields valuable domain-specific insights that inform future research directions. In the present work, we introduce MORSE (Multiple Optima via Random Sampling and careful choice of the parameter Epsilon), a randomized, parallelizable algorithm to efficiently generate multiple optima for ILPs. MORSE maps multiplicative perturbations to the coefficients in an instance's objective function, generating a modified instance that retains an optimum of the original problem. We formalize and prove the above claim in some practical conditions. Furthermore, we prove that for 0/1 selection problems, MORSE finds each distinct optimum with equal probability. We evaluate MORSE using two measures; the number of distinct optima found in $r$ independent runs, and the diversity of the list (with repetitions) of solutions by average pairwise Hamming distance and Shannon entropy. Using these metrics, we provide empirical results demonstrating that MORSE outperforms the Gurobi method and unweighted variations of the MORSE method on a set of 20 Mixed Integer Programming Library (MIPLIB) instances and on a combinatorial optimization problem in cancer genomics.
Identifying Predictors of Adolescent Suicide Attempts: A Comparative Machine Learning Study
Authors: Cañizares Catalina , Macgowan Mark J , Potocky Miriam , Huang Hui , Pettit Jeremy W , Balise Raymond R
Published: January 2025

Suicide attempts among adolescents are an urgent public health crisis in the United States. Traditional statistical methods have limited success in predicting such attempts, as they often overlook complex interactions among diverse risk factors. This study applies four machine learning models —LASSO Logistic Regression, Classification and Regression Trees, Random Forest, and eXtreme Gradient Boosting— to predict suicide attempts using data from the 2017 Youth Risk Behavior Surveillance System. Variables included school safety, substance use, sexual and physical violence, health behaviors, media use, cognitive factors, and demographic characteristics. The primary outcome was adolescents who attempted suicide within the previous year. Sensitivity was used as the primary metric to select the best-performing model, prioritizing the detection of true positive cases.LASSO Logistic Regression demonstrated the highest sensitivity (88.9%) and area under the ROC curve (AUC) of 94.6%, outperforming the tree-based models in true positive detection. The analysis revealed that suicidal ideation, suicide planning, substance use, and feelings of insecurity were the most influential predictors across models. These findings suggest that ML models can improve adolescent suicide risk prediction by incorporating broader behavioral and environmental variables than traditional methods. Enhanced sensitivity in ML models offers a promising tool for developing effective prevention and intervention strategies tailored to high-risk youth populations.
Perceptions of Value Co‐Creation in Marketing and Supply Chain Integration
Authors: Bennett Lydia
Published: January 2025

This study explores the perceptions of value co-creation in marketing and supply chain integration, examining how businesses are increasingly involving customers in the product and service development process. As customer expectations evolve, companies are shifting toward more personalized offerings, emphasizing the role of marketing in creating meaningful, collaborative relationships with customers. The research highlights the significance of integrating marketing and supply chain functions to ensure that customer expectations are met efficiently and effectively. By examining the interplay between customer involvement, marketing strategies, and supply chain processes, this study identifies key factors that influence the success of value co-creation efforts. The findings reveal that customer engagement, facilitated by marketing, plays a crucial role in shaping product development and ensuring customer satisfaction. However, challenges such as managing customer expectations, aligning departmental goals, and maintaining supply chain flexibility are prevalent. Technology, particularly data analytics and digital platforms, is identified as a key enabler in overcoming these challenges and facilitating real-time collaboration between marketing and supply chain teams. The study also emphasizes the importance of organizational culture, where cross-department collaboration and customer-centric values are essential for effective value co-creation. Ultimately, the research underscores the need for businesses to adopt a holistic approach that aligns marketing, supply chain, and technology to deliver value in a customer-driven marketplace, thereby achieving long-term competitiveness and success.
Prediction of Hydrogen-Bonding Interaction Free-Energies with Two New Molecular Descriptors
Authors: Acree William E. , Panayiotou Costas
Published: January 2025

This work is a continuation of our recent work on the prediction of hydrogen-bonding (HB) interaction enthalpies [1]. In the present work, a simple method is proposed for the prediction of the HB interaction free energies. Quantum chemical (QC) calculations are combined with the Linear Solvation Energy Relationship (LSER) approach for the determination of novel QC-LSER molecular descriptors and the development of the method. Each hydrogen-bonded molecule is characterized by an acidity or proton donor capacity, , and/or a basicity or proton acceptor capacity. These descriptors suffice for the prediction of HB interaction free energy when the interacting molecules possess one acidic and or one basic site. In this case of two interacting molecules, 1 and 2, their overall HB interaction free energy is , where c is a universal constant equal to (ln10)RT = 5.71 kJ/mol at 25 oC. This holds true over the full composition range, that is, regardless of which molecule is solute and which solvent. In the case of complex multi-sited molecules possessing more than one distant acidic sites and/or more than one types of distant basic sites, two sets of and descriptors are needed, one for the molecule as solute in any solvent and the one for the same molecule as solvent of any solute. Descriptors and are reported for a number of common hydrogen bonded molecules but they may be obtained for any other hydrogen-bonded molecule of interest from its molecular surface charge distribution already available or easily obtained via relatively cheap DFT / basis-set QC calculations. The new predictive scheme is validated against corresponding estimations of the widely used Abraham’s LSER model. The developments in the present work and the previous one are useful for solvation studies in chemical and biochemical systems and, particularly, for equation-of-state developments in molecular thermodynamics. The strengths and limitations of the new predictive method are critically discussed.
Simulation and Parameter Study of Inductive Coils in a Dual-Core Fluxgate
Authors: Li Zhipeng , Wang Pengyu
Published: January 2025

A fluxgate sensor, as a precise magnetic field measurement tool, has one of its major advantages in its ability to perform vector measurements. In order to investigate the effects of different pickup coil parameters on the induced electromotive force (EMF) output of the fluxgate sensor, this paper establishes a dual-core fluxgate sensor model using Maxwell software. The various parameters of the sensing coil, including coil spacing, cross-sectional area, number of turns, and wire diameter, are systematically varied. Electromagnetic simulations are conducted under both zero magnetic field and geomagnetic field conditions. By comparing the changes in the induced EMF output for different parameter settings, the results show that a mismatch in the sizes of the sensing and excitation coils negatively impacts performance. Improper positioning of the sensing coil relative to the excitation coil and the magnetic core (e.g., if it is protruding) results in insufficient electromagnetic induction, which reduces the induced EMF. Additionally, reducing the wire diameter improves the induced EMF and sensor sensitivity while minimizing interference.
General Quantum-Relativistic Field Theory: Unified Theory of Gravity and Black Hole Universe Formation
Authors: Gaspar Iago
Published: January 2025

This paper offers a novel perspective on gravity by conceptualizing it as a quantum fluid and exploring its potential integration with a theory positing black holes as catalysts for the formation of new universes. By synthesizing principles from general relativity, quantum mechanics, and thermodynamics, we hypothesize that gravity at the smallest scales behaves as a Bose-Einstein condensate. Utilizing the Gross-Pitaevskii equation for quantum fluids in conjunction with Einstein's field equations, we propose an effective field theory that aims to bridge classical and quantum descriptions of gravity. This unified theory seeks to provide new insights into gravitational singularities, the quantum structure of spacetime, and the role of black holes in cosmic evolution. Our approach challenges conventional views of black holes, suggesting they may play a crucial role in the perpetuation and diversification of the cosmos.
A Study of Decision-Making Processes in Multinational Supply Chains: Challenges and Opportunities in Global Procurement
Authors: Cooper Mason
Published: January 2025

This research explores the complexities of procurement decision-making in multinational supply chains, focusing on the diverse factors that influence strategies in a globalized business environment. The study examines the role of technological advancements, economic conditions, cultural differences, and sustainability in shaping procurement decisions. A comprehensive thematic analysis was conducted using qualitative data gathered from interviews with procurement professionals from multinational organizations. The findings reveal that technology, particularly artificial intelligence and blockchain, has become a crucial driver in enhancing decision-making processes by improving efficiency, transparency, and data management. Economic factors such as market volatility and exchange rate fluctuations are identified as key influencers of procurement strategies, requiring organizations to adopt agile approaches to mitigate risks. The research also emphasizes the growing importance of cultural awareness in global procurement, highlighting the need for multinational organizations to navigate diverse business practices and communication styles to foster effective supplier relationships. Sustainability has emerged as an essential consideration, with organizations increasingly prioritizing ethical sourcing and environmental responsibility in their procurement processes. Furthermore, the study highlights the role of leadership, organizational structure, and decision-making models in shaping procurement strategies, with centralized and decentralized approaches each offering distinct advantages and challenges. Overall, this research provides valuable insights into the dynamic nature of procurement decision-making in multinational supply chains and offers practical recommendations for organizations seeking to optimize their procurement practices in an ever-evolving global marketplace.
The Impact of Non-Pharmaceutical Interventions on COVID-19 in Workers and Residents of Nursing Homes in Geneva: A Qualitative Study
Authors: Menon Lakshmi Krishna , Wisniak Ania , Regard Simon , Stringhini Silvia , Guessous Idris , Balavoine Jean-François , Kherad Omar
Published: January 2025

To examine the impact of varying levels of non-pharmaceutical interventions (NPIs) on COVID-19 transmission in nursing homes during the first wave of the pandemic. Objective: The primary outcome involved exploring qualitative insights from staff and management regarding the implementation of NPIs. The secondary outcome was the cumulative incidence of PCR-confirmed COVID-19 cases among residents. Incident rate ratios (IRR) were calculated levels of NPI restrictiveness. Methods: We used a mixed-methodology to identify factors that might have affected COVID-19 expansion in nursing homes in the canton of Geneva, Switzerland. For the qualitative component, we interviewed the Attending Physicians and/or Director of each nursing home. In the quantitative component, we calculated incident rate ratios (IRR) for infection between the three levels of COVID-19-related measures taken in these nursing homes, and the cumulative incidence of PCR-confirmed COVID-19 cases in their resident population. The study was conducted in 12 nursing homes located in the canton of Geneva, Switzerland, between March 1, 2020, and June 1, 2020. Results: Most nursing homes mandated NPIs for their staff and residents during the first wave of COVID-19. We found an equal distribution of maximally (n=4), moderately (n=4), and minimally (n=4) restrictive NPIs for nursing home workers and residents. The extent of NPIs implemented did not show to be significantly associated with the cumulative incidence of COVID-19 cases among residents (maximally restrictive IRR = 3.90, 95%CI 0.82-45.54, p = 0.184; moderately restrictive IRR = 3.55, 95%CI 0.75-41.42, p = 0.212 ; minimally restrictive IRR = reference). Conclusion: Nursing homes in our study showed high variability in which NPIs, and to what extent, they implemented with no significant relationship between the restrictiveness of NPIs and COVID-19 incidence among nursing home residents. This suggests that other factors influence the transmission of COVID-19 in these settings. Future research should explore additional determinants and the balance between strict NPIs and the overall well-being of residents.