bluuebunny/crossref_metadata_2025_split huggingface dataset:
Застосування адаптованого алгоритму utility ai для групової взаємодії інтелектуальних агентів без обміну інформацією
Authors: Романенко Л. 
Published: December 2023

Предметом дослідження є командна взаємодія інтелектуальних агентів на прикладі футболу. У статті описано результати застосування модифікованого алгоритму Utility AI для забезпечення командної взаємодії в умовах відсутності комунікації. Зроблено огляд та порівняння найбільш близьких рішень. Так в статті наведено розробки, щозастосовуються в змаганнях «Drop-in player challenge» кубку RoboCup, дослідженнях мультиагентного навчання з підкріпленням університету Іллінойс та алгоритм жорсткої фіксації сценаріїв поведінки у випадку короткочасної втрати зв’язку. Коротко описаний алгоритм Utility AI, що застосовується переважно в ігрових застосунках для реалізації штучного інтелекту. Пропонується використання додаткових вагових коефіцієнтів алгоритмом для формування певної рольової поведінки. Також архітектура розділяється на два прошарки. Перший застосовує саме модифіковануверсію Utility Ai для групової координації. Другий – дерево прийняття рішень для індивідуальної тактики. Тестування проводилися в симульованому середовищі футбольного поля – RoboCup. Продемонстровано поетапне трасування ігрового сценарію з наведеними у таблиці вихідними даними та відповідні їм прийняті рішення. Також наданий приклад детального розрахунку алгоритмом майбутньої дії відповідно до обстановки.
Бібл. 8, іл. 3, табл. 3
Метод спрямованого пошуку рішення для складання розкладу заняттів у навчальних закладах
Authors: Сімоненко А. 
Published: December 2023

Розглянуто метод та алгоритм вирішення задачі складання розкладу занять у навчальному закладі. Запропонований алгоритм дозволяє за кінцеве число кроків запропонувати суобоптимальний або прийнятний варіант розкладу. При цьому вразовуються організаційні, методичні та психофізіологічні вимоги до розкладу.
Бібл. 10, іл. 6
Підхід до консолідації контейнерів у хмарних центрах обробки даних
Authors: Cопов О. , Жаріков Е. 
Published: December 2023

Об’єктом дослідження є хмарні центри обробки даних, алгоритми розміщення контейнерів у хмарі та симуляція роботи цих алгоритмів. Контейнерна віртуалізація наразі все частіше замінює класичні віртуальні машини, адже використання контейнерів забезпечує легку ізоляцію, масштабованість і швидкість запуску для застосунків. Усе більшої актуальності набуває задача ефективного розміщенні контейнерів у ЦОД задля оптимізації витрат. Метою дослідження є покращення алгоритму розміщення контейнерів у хмарному ЦОД шляхом прогнозування запитів клієнтів. У цій статті запропоновано модифікацію алгоритму Best Fit із використанням прогнозування запитів клієнтів на розміщення контейнерів. Розроблений алгоритм дає можливість зменшити загальні витрати хмарного ЦОД на 5 % і загальну ціну порушення SLA на 30 %, але збільшує вартість обслуговування ФС на 1 %.
Бібл. 17, іл. 4, табл. 2
Vintage Port prediction and climate change scenarios
Authors: Fraga Helder , Guimarães Nathalie , Santos João 
Published: December 2023

The Douro region is renowned for its quality wines, particularly for the famous Port Wine. Vintage years, declared approximately 2–3 times per decade, signify exceptional quality linked to optimum climatic conditions driving grape quality attributes. Climate change poses challenges, as rising temperatures and extreme weather events impact viticulture. This study uses machine learning algorithms to assess the climatic influence on vintage years and climate change impacts for the next decades. Historical vintage data were collected from 1850 to 2014. Monthly climatic data for the same period were obtained, including temperature, precipitation, humidity, solar radiation, and wind components. Various machine-learning algorithms were selected for classification, and a statistical analysis helped identify relevant climate variables for differentiation. Cross-validation was used for model training and evaluation, with the hits and misses (confusion matrix) as the performance metric. The best-performing model underwent hyperparameter tuning. Subsequently, future climate projections were acquired for four regional climate models from 2030 until 2099 under different socio-economic scenarios (IPCC SSP2, SSP3, and SSP5). Quantile mapping bias adjustment was applied to correct future climate data and reduce model biases. Past data revealed that vintages occurred 23.6 % of the years, with an average of two vintage years per decade, with a slightly positive trend. Climate variables such as precipitation in March, air temperatures in April and May, humidity in March and April, solar radiation in March, and meridional wind in June were identified as important factors influencing vintage year occurrence. Machine-learning models were employed to predict vintage years based on the climate variables, with the XGBClassifier achieving the highest performance with 76 %/88 % hits for the vintage/non-vintage classes, respectively, and an ROC score of 0.86, demonstrating strong predictive capabilities. Future climate change scenarios under different socio-economic pathways were assessed, and the results indicated a decrease in the occurrence vintage years until 2099 (10.3 % for SSP2, 9.1 % for SSP3, and 5.8 % for SSP5). The study provides valuable insights into the relationship between climate variables and wine vintage years, enabling winemakers to make informed decisions about vineyard management and grape cultivation. The predictions suggest that climate change may challenge the wine industry, emphasising the need for adaptation strategies.
Absorption and Biotransformation of Selenomethionine and Selenomethionine-oxide by Wheat Seedlings (<em>Triticum aestivum </em>L.)
Authors: Wang Qi , Huang Siyu , Huang Qingqing , Yu Yao , Li Huafen , Wan Yanan 
Published: December 2023

An in-depth understanding of the Se uptake and metabolism in plants is necessary for developing Se biofortification strategies. Thus, hydroponic experiments were conducted to investigate the associated processes and mechanisms of organic Se [selenomethionine (SeMet) and selenomethionine-oxide (SeOMet)] uptake, translocation, transformation and their interaction in wheat, in comparison to inorganic Se. Results showed that Se uptake by roots and the root-to-shoot translocation factor under the SeMet treatment were higher than those under the selenite, selenate, and SeOMet treatments. The uptake and translocation of SeMet were higher than those of SeOMet within 72 h, although the differences gradually narrowed with time. The uptake of SeMet and SeOMet was also sensitive to the aquaporin inhibitor: AgNO3 addition resulted in 99.5% and 99.9% inhibition of Se in root in the SeMet and SeOMet treatments, respectively. Once absorbed by root, were rapidly assimilated to other Se forms, and SeMet and Se-methyl-selenocysteine (MeSeCys) were the dominant species in SeMet and SeOMet-treated plants, while notably, an unidentified Se form was also found in the root and xylem sap under the SeMet treatment. In addition, within 16 h, SeOMet inhibited the uptake and translocation of SeMet, while the interaction was weakened with longer treatment time. Taken together, the present study provides new insights for the uptake and transformation processes of organic Se within plants.
A Brief Guide to Big Data in Molecular Design: From Concepts and Definitions to Models
Authors: Polanski Jaroslaw 
Published: December 2023

How crucial is big data in contemporary molecular design? In this publication we elucidate fundamental concepts and terminology in this field, critically addressing overlooked issues. We thoroughly examine the size, accessibility, quality, and structural aspects of big data alongside the primary methodologies employed for their analysis. Within chemical compounds, properties and descriptors represent two distinct data types, forming the basis for categorizing molecular big data. The primary objective of chemistry is property production, which means we are searching for novel drugs or materials rather than chemical compounds, and big data is the central issue of this philosophy. The increasing availability of data in computer-aided technology propels advancements in artificial intelligence (AI), machine learning (ML), and deep learning (DL). Accordingly, a broad chemical audience must comprehend these methods to understand data-centered chemistry. Thus, we aim to systemize big data issues through a simple illustrative framework with fundamental descriptor categories: coding, computer-generated descriptors, and property correlates. Although we employ computer-generated descriptors as big data for predictions, the measured data are irreplaceable for achieving high-quality and reliable outcomes and controlling molecular effects. The scarcity of property data remains a significant hurdle limiting comprehensive studies on the structure-property relationships within big data. Accordingly, guided by pragmatics not-so-big data is an option for drug design. We presented also a brief review of the recent big data literature.
Working Capital Optimization and Firm’s Performance: Evidence from Indian Cement Industry
Authors: Panigrahi CMA (Dr.) Ashok 
Published: December 2023

Optimum usage of working capital is always considered the key to the success of an enterprise. There is much evidence in the financial literature that an efficient management of working capital has a positive impact on the performance of the organisation. Results of empirical analysis show that there is a strong relationship between the firm’s profitability and its working capital management efficiency i.e., optimization of working capital. Present research work is an endeavour in this direction of establishing the factual importance of efficient management of working capital to any organization, particularly to Indian cement companies. The research work is backed by a research design of methodology including objectives, scope, significance, hypotheses, tools, techniques, etc. To make it more comprehensive in its approach, it is designed with both descriptive and econometric tools. The study employs a quantitative approach to examine whether the Indian cement companies optimally use their working capital, which is analysed by establishing the relationship between the working capital management and profitability using 11-year (2010-2021) financial data of 31 cement companies listed in Bombay Stock Exchange (BSE).
Findings: The study shows that the inventory turnover period (ITP) and cash conversion cycle (CCC) have a negative impact on returns on assets (ROA) whereas the accounts receivable period (ARP) does not significantly predict the return on assets of cement companies. The current ratio (CR) is negatively related to ROA whereas the quick ratio (QR) favourably predicts ROA of the cement companies. It was observed that only ITP and CCC are significantly related to return on equity (ROE) where the direction of the relationship is negative.
Chiropractic Manipulation Causing Anterior-Posterior Compression Type Pelvic Ring Injury
Authors: Kerr Matthew S. , Yawman Jonathan P. , Kelly John J. , Shaath M. Kareem , Langford Joshua R. 
Published: December 2023

Case:
We present a case of an anteroposterior compression (APC) type pelvic ring injury that occurred after chiropractic manipulation in a patient with a history of quadriplegia. Emergent surgical stabilization was undertaken, and he had an excellent outcome with no complications at 3.5-year follow-up.

Conclusion:
APC type pelvic ring injuries usually occur to high-energy mechanisms. We describe a case of a patient with quadriplegia and osteopenia that suffered a pelvic ring injury because of a unique mechanism. Practitioners performing pelvic manipulation should be aware of this type of injury in at-risk patients.
Resection of Traumatic Triradiate Bar Led To Restored Triradiate Growth
Authors: Eardley-Harris Nathan , Johnson Michael , Balakumar Jitendra 
Published: December 2023

Case:
A 2-year-old boy suffered an injury to the acetabular physis resulting in the formation of an osseus bar across all 3 limbs of the triradiate, growth arrest, and secondary hip dysplasia. This condition was treated with bony bar resection using an anterior intrapelvic approach. Over a follow-up period of more than 3 years, there was notable restoration of triradiate cartilage growth.

Conclusion:
Our case demonstrates that resection of a triradiate bar can be an effective treatment of premature traumatic triradiate closure. Early recognition and intervention are preferable before secondary changes in the acetabulum have fully developed.
Phosphate solubilization potential of PSB: An advance approach to enhance phosphorous availability for phytostimulation
Authors: Tariq Aqsa , Ahmed Ambreen 
Published: December 2023

Abstract

Rhizosphere engineering approach is considered a quantum leap in plant sciences. The current study focused on investigating rhizobacterial efficiency to mobilize bioavailable phosphate from insoluble-phosphate source. Phosphate-solubilization potential of four efficient phosphate solubilizing bacterial strains i.e., Pseudomonas songnenensis (GR3), Stutzerimonas stutzeri (HH2), Bacillus bingmayongensis (KH3) and Achromobacter aegrifaciens (MH1) was analyzed. The bacterial strain GR3 was observed as most efficient phosphate solubilizer. Interactions between various physiological parameters and phosphate solubilization efficiency of isolates was evaluated using surface response methodology. In-vitro experiments revealed that glucose significantly facilitated phosphorus solubilization at 37 ℃, with media having pH 7 and 0.5% phosphorous. Additionally, positive correlation among P-solubilization potential, acids produced and pH variations was observed. Plant microbe-interaction analysis was performed to evaluate the efficiency of these bacterial strains on various morpho-physiological responses of Zea mays L. For this purpose, various concentrations of tricalcium phosphate were applied to plants in the presence and absence of bacterial strains. The results showed that, lower phosphate levels trigger shoot development, improve plant weight and leaf formation whereas higher phosphate concentrations stimulated the development of longer root system. The bacterial strains GR3 and HH2 were observed as efficient phosphate-solubilizing bacteria (PSB) that positively stimulated plant morphological responses by triggering various biochemical attributes such as plant protein content, phytohormone homeostasis, macromolecule content, solute content and pigment content. Hence, the current study reviled that the use of these phosphate solubilizing PGPR are efficient phytostimulators used for crop production in replacement of chemical fertilizers which are carcinogenic and deteriorating our eco-system.
Diagnosis and treatment of a newborn with congenital hyperinsulinemia:Case report and literature review
Authors: Zhang Meiyu , Yin Qigai , Wang Ying , Wu Yanhui , Yuan Yingdi 
Published: December 2023

Abstract

Background: Congenital hyperinsulinemia (CHI) is a condition characterized by abnormal insulin secretion, primarily responsible for persistent hypoglycemia in infants. This study aims to analyze the diagnosis, treatment, and genetic variations in a newborn affected by congenital hyperinsulinemia (CHI), with the goal of enhancing comprehension and diagnostic accuracy of this condition.
Case summary: We gathered clinical data from a child diagnosed with CHI and conducted whole exome gene sequencing on the child's peripheral blood as well as that of the parents. Genetic tests revealed that the child carried a complex heterozygous mutation in the ABCC8 gene, specifically c.2153G > A (p.Gly718Asp) and c.946G > A (p.Gly316Arg). Both parents were carriers of these two heterozygous mutations. Notably, the c.2153G > A (p. Gly718Asp) mutation had not been previously reported. Initial treatment with diazoxide proved ineffective; however, stable blood glucose control was achieved after combining octreotide with nifedipine.
Conclusion: Hypoglycemia resulting from the complex heterozygous mutations in the ABCC8 gene, specifically c.2153G>A (p.Gly718Asp) and c.946G>A (p.Gly316Arg), can be effectively managed through a combination of octreotide and nifedipine. Genetic testing plays a crucial role in the early diagnosis and treatment of CHI, facilitating prompt and targeted intervention.
Probiotic bacteria Lacticaseibacillus rhamnosus L108 and Lacticaseibacillus delbrueckii R2 increase lifespan and influence the expression of Caenorhabditis elegans longevity genes
Authors: Chelombitskaya Daria , Teperin Alexander , Emelyantsev Sergey , Prazdnova Evgeniya 
Published: December 2023

Abstract

of biology and biotechnology Annotation: Numerous studies have shown that probiotics hold great promise in slowing down the aging process and extending life expectancy. Bacteria of the genus Lacticaseibacillus have been found to possess antioxidant, antimutagenic and anti-inflammatory effects, as well as the ability to regulate the expression of genes that control signaling defense mechanisms in model objects. In this study, we used the nematode Caenorhabditis elegans as a model organism to investigate the impact of Lacticaseibacillus rhamnosus L108(L.rhamnosus L108) and Lacticaseibacillus delbrueckii R2 on nematode lifespan and the expression levels of genes associated with healthy aging. Our results demonstrate that the Lacticaseibacillus rhamnosus L108 strain exhibits antioxidant properties and increases the average lifespan of nematodes by 15%. Lacticaseibacillus delbrueckii R2 also has a positive effect, extending the lifespan of the worms by 21.4%. Furthermore, analysis of longevity gene expression reveals a correlation between increased lifespan and activation of the insulin/insulin-like factor-1 pathway. Moreover, we observed a significant increase in the expression of the skn-1 gene, which encodes antioxidant proteins and enhances the antioxidant response. Our findings suggest that the expression of the skn-1 gene and the transcription factor SKN-1 are associated with activation of the p38 MAPK signaling pathway. Therefore, it seems that probiotic bacteria Lacticaseibacillus rhamnosus L108 and Lactobacillus delbrueckii R2 have a positive effect on lifespan due to increased expression of genes that underlie the regulation of conserved signaling pathways related to host defense.
Hypoxia related genes modulate in similar fashion in skin fibroblast cells of yak (Bos grunniens) adapted to high altitude and native cows (Bos indicus) adapted to tropical climate during hypoxia stress
Authors: Tiwari Manish , Sodhi Monika , Sharma Manish , Sharma Vishal , Mukesh M. 
Published: December 2023

Abstract

The present study was conducted to understand transcriptional response of skin fibroblast of yak (Bos grunniens) and cows of Bos indicus origin to hypoxia stress. Six primary fibroblast cell lines derived from three individuals each of Ladakhi yak (Bos grunniens) and Sahiwal cows (Bos indicus) were exposed to low oxygen concentration for a period of 24h, 48h and 72h. The expression of 10 important genes known to regulate hypoxia response such as HIF1A, VEGFA, EPAS1, ATP1A1, GLUT1, HMOX1, ECE1, TNF-A, GPx and SOD were evaluated in fibroblast cells of Ladakhi yak (LAY-Fb) and Sahiwal cows (SAC-Fb) during pre- and post-hypoxia stress. A panel of 10 reference genes (GAPDH, RPL4, EEF1A1, RPS9, HPRT1, UXT, RPS23, B2M, RPS15, ACTB) were also evaluated for their expression stability to perform accurate normalization. The expression of HIF1A was significantly (p < 0.05) induced in both LAY-Fb (2.29-fold) and SAC-Fb (2.07-fold) after 24h of hypoxia stress. The angiogenic (VEGFA), metabolic (GLUT1) and antioxidant genes (SOD and GPx) were also induced after 24h of hypoxia stress. However, EPAS1 and ATP1A1 induced significantly (p < 0.05) after 48h whereas, ECE1 expression induced significantly (p < 0.05) at 72h after exposure to hypoxia. The TNF-alpha which is a pro-inflammatory gene induced significantly (p < 0.05) at 24h in SAC-Fb and at 72h in LAY-Fb. The induction of hypoxia associated genes indicated the utility of skin derived fibroblast as cellular model to evaluate transcriptome signatures post hypoxia stress in populations adapted to diverse altitudes.
Direct observation of space charge layers at oxide grain boundaries
Authors: Toyama Satoko , Seki Takehito , Feng Bin , Ikuhara Yuichi , Shibata Naoya 
Published: December 2023

Abstract

Space charge layers (SCLs) formed at grain boundaries (GBs) are considered to critically influence the properties of polycrystalline materials such as ion conductivities. Despite the extensive researches on this issue, the presence of GB SCLs and their relationship with GB orientations, atomic-scale structures and impurity/solute segregation behaviors remain controversial, primarily due to the difficulties in directly observing charge distribution at GBs. In this study, we directly observe electric field distribution across the well-defined yttria-stabilized zirconia (YSZ) GBs by tilt-scan averaged differential phase contrast scanning transmission electron microscopy. Our observation clearly reveals the existence of SCLs across the YSZ GBs with nanometer precision, which are significantly varied depending on the GB orientations and the resultant core atomic structures. Moreover, the magnitude of SCLs show a strong correlation with yttrium segregation amounts. This study provides critical insights into the complex interplay between SCLs, orientations, atomic structures and segregation of GBs in ionic crystals.
Exploring the Relationship between Cardiorespiratory Fitness and Physical Literacy: A scoping review
Authors: Patiño-Palma Brayan Esneider , Gómez-Rodas Alejandro , Claros Armando Vidarte 
Published: December 2023

Abstract

Materials and Methods
The study adopted a scoping review approach in order to explore and synthesise the existing scientific literature on the relationship between physical literacy and cardiorespiratory fitness. This methodological approach was selected because of its efficency in quickly gathering and mapping relevant information, following the recommendations of the PRISMA standard for scoping review.
Results
Preliminary findings from this research indicate that there is a dynamic and close interaction between physical literacy and cardiorespiratory fitness. This relationship highlights the holistic nature of physical literacy, whereby knowledge, skills, and attitudes related to physical activity are closely linked and intertwined with cardiorespiratory health. Conclussions: This cycle generates positive outcomes, as physical literacy encourages and inspires individuals to engage in sustainable physical activity.