bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Technology for a Creamy Dessert Bioproduct for Healthy Nutrition with Functional Ingredients
Authors: Konovalov S. A. , Gavrilova N. B. , Ivanova N. F. , Chernopolskaya N. L. , Rebezov M. B. , Smolnikova F. H. 
Published: November 2024

Relevance. The article provides a detailed analysis of scientific research related to the development of technology for a creamy dessert bioproduct for healthy nutrition based on dairy and vegetable raw materials.Methods. A biologically active component in the form of berry syrups, which are a valuable source of vitamins, minerals, dietary fibers, organic acids, phenolic compounds and other substances capable of having a healing effect on the human body, has been scientifically substantiated and developed as a source of biologically active components for enriching creamy bioproducts.Results. It is proved that the use of berry syrups obtained on the basis of wild plant raw materials of the Siberian region of Russia in the technology of dessert bioproduct significantly improves its flavor properties, chemical composition, nutritional and biological value. In addition to berry syrups, in order to enrich the creamy dessert product with functional food ingredients, a binary starter culture containing probiotic microorganisms in immobilized form, iron lactate, ascorbic acid, and dry milk whey were used. These components of functional nutrition play an important role in improving metabolism, normalizing the state of the internal environment of the body, increasing its resistance to harmful environmental influences. The objects of research, the main of which are cream, are described, standard organoleptic, physico-chemical, microbiological and biological research methods using modern devices are applied, mathematical and statistical methods of analyzing experimental data were used. A detailed description of the production technology of berry syrups is presented, the technological parameters of these operations are given in order to maximize the extraction of biologically active substances from plant raw materials. At the final stage of scientific research, the technology of production of creamy dessert bioproduct is presented, the expediency of using biologically active components in its production is justified, quality indicators, nutritional and biological values, storage capacity and shelf life of the new bioproduct are given.
Assessment of the effect of non-traditional cakes in goat diets on the fatty acid composition of milk
Authors: Kislova D. A. , Sheida E. V. , Kvan О. V. , Duskaev G. K. 
Published: November 2024

Relevance. Increasing the intake of unsaturated fatty acids, especially polyunsaturated ones, by adding oilseeds, oils or their by-products with a high oil content can positively affect the composition of fatty acids in goat milk and benefit human health.Methods. In accordance with the scheme of the experiment, soy meal in the diets of animals of groups I and II was replaced with hemp or linseed cake in the amount of 5% and 10% of the dry matter of the concentrated part of the diet, which were fed, including together with a probiotic drug.Results. It was found that linolenic acid (58.6%), oleic acid (20.1%) and linoleic acid (16.3%) made up a larger percentage in the composition of linseed cake, linoleic acid (53.4%) made up a large proportion in hemp cake. Analysis of the fatty acid composition of goat’s milk when feeding cakes showed that the profile of the mass fraction of 10 main fatty acids in total in the experimental groups amounted to more than 90% of all fatty acids in goat’s milk. To a greater extent, the mass fractions of monounsaturated oleic acid increased relative to the control group: when using linseed cake — by 4.5%, hemp cake — by 5.2%, respectively. In the experimental groups, lower levels of medium-chain were found in comparison with the control group (C12:0–C14:0) fatty acids. The peculiarities of the fatty acid composition of goat’s milk were found against the background of additional administration of a probiotic drug. The proportion of essential fatty acids in the experimental groups increased: with the use of linseed cake — by 1.4%, hemp cake — by 3.4%. A higher content of monounsaturated oleic (p < 0.05) and linoleic acids was found.
Intrapopulation genetic differentiation of reindeer herd of Yamal experimental station
Authors: Nikolaev S. V. , Matyukov V. S. , Filatov A. V. 
Published: November 2024

Relevance. Increasing the profitability of reindeer husbandry is possible through the introduction of modern methods of conducting breeding work, including using population genetic analysis.Methods. The DNA of Nenets reindeer (n = 100) was studied with respect to 16 microsatellite markers using the COrDIS Reindeer kit. Based on genetic similarity, in the Structure 2.3.4 program, animals were divided into clusters, in each of which the main genetic parameters were evaluated, as well as the degree of genetic similarity between clusters (k) and the population (Pop) as a whole was calculated.Results. It was found that the maximum number of observed and effective microsatellites was present in k5 (6,188 and 3,903, respectively). The first cluster was characterized by a lower genetic diversity (I = 1,202), the fifth — on the contrary, the maximum (I = 1,414). For k1, k4 and k5, there was a slight deviation towards an excess of heterozygotes (-0.061–0.029), and in general, a slight shift towards an increase in inbreeding was noted for Pop (Fis = 0.017). Private alleles Rt6186 and C276259 with a total frequency of 0.060 were detected in k1, Rt7240 and FCB193138 with a total prevalence of 0.079 in k2, the occurrence of private alleles Rt1267, BMS745330, NVHRT16142 was 0.100 in k4, and specific microsatellites in k5 BMS1788150, Rt30223, Rt7254, OheQ299, Rt24248 were found in 21.9% of animals. The genetic distance (DN) was minimal between k2 and k4 (0.043), and maximal between k2 and k3 (0.119). In relation to Pop, the maximum distance was viewed to k3 (DN = 0.049), and the smallest to k2 (DN = 0.025). The most noticeable true allelic differentiation was observed between Pop-k1 and Pop-k3 samples (Dest = 0.021), and there was no gap between Pop-k2 and Pop-k5 (Dest = -0.004–0.002).
Probabilistic Estimation of Honeypot Detection in Internet of Things Environment
Authors: Surnin Oleg , Husain Fatima , Husain Rasheed , Ostrovskaya Svetlana , Polovinkin Andrey , Lee Jooyoung , Fernando Xavier 
Published: November 2024

<p> With the emergence of the Internet of Things (IoT) and the increasing number of resource-constrained interconnected smart devices, there is a noticeable increase in the number of cyber security crimes. In the face of the possible attacks on IoT networks such as network intrusion, denial of service, spoofing and so on, there is a need to develop efficient methods to locate vulnerabilities and mitigate attacks in IoT networks. Without loss of generality, we consider only intrusion-related threats to IoT. A honeypot is a system used to understand the potential dynamic threats and act as a proactive measure to detect any intrusion into the network. It is used as a trap for intruders to control unauthorized access to the network by analyzing malicious traffic. However, a sophisticated attacker can detect the presence of a honeypot and abort the intrusion mission. Therefore it is essential for honeypots to be undetectable. In this paper, we study and analyze possible techniques for SSH and telnet honeypot detection. Moreover, we propose a new methodology for probabilistic estimation of honeypot detection and an automated software implemented this methodology </p>
Reproducing Animals in Latin America
Authors: Soluri John 
Published: November 2024

This article explores the history of artificial insemination (AI) in order to suggest the value of writing histories of human intervention in animal reproduction in Latin America/Caribbean. Writing histories of how people have tried to direct animal reproduction is important for understanding changes in biological diversity and also for exploring intimate relations between people and animals beyond killing. Stories of human attempts to inseminate animals have circulated for centuries, but institutional programs emerged at the end of the nineteenth century and expanded greatly in the mid-twentieth century. After an early focus on horses, practitioners of AI shifted to livestock including dairy cows and sheep. In Latin America, as elsewhere, livestock owners and government agencies viewed AI as a means to boost yields of food and fibers via the efficient transfer of desirable genetic traits across generations of livestock. The extraction and storage of semen enabled ranchers to inseminate female livestock with sperm from “pedigree” bulls or rams that they did not own or that were even deceased. The diffusion of AI relied on inexpensive technologies and new forms of cooperation and communication between people and animals. In the late twentieth century, conservation biologists turned to AI as a means to reproduce captive populations of endangered or threatened species. The history of AI therefore allows us to cross the dividing line between “domesticated” and “wild” animals.
ВАЛІДАЦІЯ МЕТОДІВ ВИЗНАЧЕННЯ ТЕПЛОВИХ ПОКАЗНИКІВ СИСТЕМ ВОГНЕЗАХИСТУ СТАЛЕВИХ КОНСТРУКЦІЙ
Authors: НОВАК Михайло , ХАРКЯНЕН Олена 
Published: November 2024

Надано процедуру валідації методів визначення теплових показників систем вогнезахисту сталевих конструкцій, засновану на проведенні натурного (валідаційного) експерименту, яка забезпечує автоматизацію процесу валідації. Ця процедура містить етапи експериментального визначення температури зразків сталевих конструкцій (балок, колон завдовжки 1,0 м), оснащених певною системою вогнезахисту, в умовах вогневого впливу за стандартного температурного режиму, розрахунку теплових показників за методикою, наведеною в стандартах EN 13381-4 і EN 13381-8, та за методикою, яку засновано на розв’язанні оберненої задачі теплопровідності й задачі оптимізації та порівняння розрахункових і дійсних значень визначальних показників. Методика проведення валідаційного експерименту, регламентована в процедурі, відповідає наведеній в зазначених стандартах, за винятком того, що в ній не застосовують навантажені зразки (балки чи колони), призначені для оцінювання здатності системи вогнезахисту до зчеплення. Застосована математична модель для визначення розрахункових значень коефіцієнта теплопровідності вогнезахисного матеріалу і необхідної мінімальної товщини вогнезахисту відповідає наведеній в зазначених стандартах. У математичній моделі, яку використовують в процедурі валідації для визначення дійсних (умовно точних) значень коефіцієнта теплопровідності та необхідної мінімальної товщини, на обігрівній поверхні системи вогнезахисту задають граничні умови складного конвективно-радіаційного теплообміну (коефіцієнти тепловіддачі і теплового випромінювання, а також температуру в печі). Це її відрізняє від математичної моделі, наведеній в зазначених стандартах, в якій на цій поверхні задають значення температури, котре дорівнює температурі в печі, і не враховано теплообмін між піччю і системою вогнезахисту. З’ясовано, що для забезпечення автоматизації процесу валідації за зазначеною процедурою необхідно розробити та впровадити інтелектуальну систему керування температурним режимом у печі, а також програмний продукт, який забезпечує автоматизацію процесу введення та збереженість вхідних і вихідних даних, необхідних для реалізації процедури валідації, а також розв’язання оберненої задачі теплопровідності й задачі оптимізації.
КОРИГУВАННЯ ПРОМІЖКУ ЧАСУ ДО ДОСЯГНЕННЯ КРИТИЧНОЇ ТЕМПЕРАТУРИ ДЛЯ ВИПРОБНИХ ЗРАЗКІВ ЗАХИЩЕНИХ СТАЛЕВИХ КОНСТРУКЦІЙ
Authors: НОВАК Сергій , ДОБРОСТАН Олександр , ПУСТОВИЙ Максим , НОВАК Михайло 
Published: November 2024

Для оцінювання стійкості до зовнішніх впливів довкілля (води, вологості, ультрафіолетового випромінювання і температури повітря) реактивних і пасивних систем вогнезахисту, призначених для несучих сталевих конструкцій, застосовують метод вогневого випробування, наведений в EN 16623 і EAD 350140-00-1106. Під час цього випробування визначають значення проміжку часу від початку вогневого впливу за стандартного температурного режиму до досягнення критичної температури сталі 500 °С на металевій поверхні чотирьох випробних зразків сталевих пластин завтовшки 5 мм, які мають однакову товщину вогнезахисту. За результатами порівняння експериментальних даних, отриманих для двох експонованих зразків і двох контрольних зразків, роблять висновок щодо стійкості до зовнішніх впливів. Відмінності температурного режиму в печі, товщини вогнезахисту і початкової температури випробних зразків можуть призвести до певних похибок на результати оцінювання цієї стійкості. Під час проведення дослідження виявлено закономірності щодо впливу відмінності значень початкової температури випробних зразків на результати оцінювання стійкості вогнезахисту сталевих конструкцій до зовнішніх впливів довкілля. Встановлено, що різниця між проміжками часу до досягнення критичної температури сталі 500 °С, отриманими для випробних зразків із різною початковою температурою, залежить від різниці між початковими температурами цих зразків, і значення цього проміжку часу і не залежить від теплофізичних властивостей вогнезахисного матеріалу. Ця різниця збільшується з підвищенням різниці між початковими температурами і підвищенням проміжку часу, і її максимальна величина дорівнює 2,69%, що складає 17,9% граничного значення, яке застосовують під час ухвалення рішення щодо стійкості вогнезахисту сталевих конструкцій до зовнішніх впливів. Запропоновано процедуру коригування показників щодо проміжку часу до досягнення критичної температури 500 °С, яка дає змогу усунути впливи відмінностей значень початкової температури випробних зразків на результатах оцінювання стійкості вогнезахисту сталевих конструкцій до зовнішніх впливів довкілля.
Performance analysis of high temperature thermal energy storage in shallow depth enhanced geothermal system
Authors: Bu Xianbiao , Chen Wei , Du Jianguo , Wang Lingbao 
Published: November 2024

IntroductionSolar resources are rich in north China and however, solar thermal energy has little contribution to space heating due to the intermittency and instability as well as the lack of seasonal energy storage technology. Although underground thermal energy storage (UTES) can solve the above problems effectively, the existing UTES systems either have low energy storage density and recovery efficiency or have high construction cost.MethodsInspired by the enhanced geothermal system (EGS), here a novel scheme of storing high temperature thermal energy into the shallow depth EGS (SDEGS) is proposed. Thermal energy is stored into SDEGS during the non-heating season and is extracted for space heating during the heating season.ResultsThe results show the thermal performance of SDEGS always remains stable due to continuous thermal energy injection, and its thermal recovery efficiency is always greater than 90% by storing thermal energy into the tight rocks and circumventing the formation of the natural convection.DiscussionSDEGS can be constructed in the shallow buried depth rocks having a low requirement about temperature, largely reducing project cost and risk and widening the application range.
Optimization of H9c2 differentiation leads to calcium-active and striated cardiac cells without addition of retinoic acid
Authors: Brock Judith , Hörning Marcel 
Published: November 2024

As a reliable alternative to animal testing in cardiovascular research, it is crucial to improve differentiation of immortalized cell lines. In this study, we focused on optimizing the differentiation efficiency of the H9c2 cell line into cardiomyocytes using a high-throughput, automated image processing approach. While previous studies used protocols involving retinoic acid to enhance cardiac differentiation, we applied a simplified medium composition that results in higher differentiation rates. Along that line, we differentiated H9c2 cells into cardiomyocytes, which not only showed sarcomere-characteristic striation but also periodic intracellular calcium signaling for the first time. As a second step, we examined the potential application of polyacrylamide hydrogels (E=12 kPa) with defined fibronectin coating densities. The optimum fibronectin density of 2.6 μg/cm2 found for single cells was investigated to further improve the differentiation efficiency. However, the differentiation and proliferation dynamics dominate the adhesion forces between the cells and the hydrogel, and thus, result in premature clustering and detachment. In conclusion, we identified an optimized differentiation protocol and provided a basis for the further investigation necessary to potentially use hydrogels as natural cell environment, aiming to raise the differentiation efficiency even more.
Genetic analysis of potential markers and therapeutic targets for immunity in periodontitis
Authors: Li Hui , Du Wanqing , Ye Xin , Luo Xi , Duan Xuejing 
Published: November 2024

ObjectivePeriodontitis is a chronic inflammatory periodontal disease resulting in destroyed periodontal tissue. Many studies have found that the host's inflammatory immune responses are involved in the risk of periodontal tissue damage. In this study, we aim to identify potential biomarkers and therapeutic targets related to immunity in periodontitis.MethodsGSE16134 and GSE10334 were downloaded from the Gene Expression Omnibus (GEO) database, and the immune-related genes were obtained from the Immunology Database and Analysis Portal (ImmPort). After the differentially expressed immune-related genes (DE-IRGs) were identified, enrichment analysis was performed. Two machine learning methods, the least absolute shrinkage and selector operation (LASSO) logistic regression and the support vector machine-recursive feature elimination (SVM-RFE), were used to screen out potential markers for the diagnosis of periodontitis. The CIBERSORT algorithm and LM22 matrix were used to analyze the percentage of infiltrating immune cells in periodontitis. Finally, the potential drug targets for the selected immune-related marker genes were predicted using relevant databases.ResultsA total of 7 genes (CD19, CXCR4, FABP4, FOS, IGHD, IL2RG, and PPBP) were upregulated in periodontitis samples. The area under the receiver operating characteristic curve (AUC) value of only one gene for distinguishing periodontitis from healthy samples ranged from 0.724 to 0.894. The prediction ability of the combined risk score of these 7 DE-IRGs was improved (AUC = 0.955). Naïve B cells, neutrophils, plasma cells, and activated memory CD4 T cells were significantly enriched in periodontitis samples, and 25 drugs targeting 4 DE-IRGs were predicted.ConclusionWe developed a diagnostic model based on seven IRGs for periodontitis. The possible drugs targeting IRGs may provide new ideas for periodontitis treatment.
Holliday junction recognition protein (HJURP) could reflect the clinical outcomes of lung adenocarcinoma patients, and impact the choice of precision therapy
Authors: Gao Xixi , Zhang Yingqing , Zhang Ming , Sun Yuejiao 
Published: November 2024

BackgroundLung adenocarcinoma (LUAD) is the most prevalent subtype of non-small cell lung cancer (NSCLC), characterized by poor prognosis and a high mortality rate. Identifying reliable prognostic biomarkers and potential therapeutic targets is crucial for improving patient outcomes.MethodsWe conducted a comprehensive analysis of HJURP expression in LUAD using data from four cohorts: TCGA-LUAD (n = 453), GSE31210 (n = 226), GSE68465 (n = 442), and GSE72094 (n = 386). Univariate Cox regression analysis was employed to identify prognostic genes, with Kaplan-Meier survival analysis used to assess the predictive power of HJURP. Functional enrichment analyses were performed using MetaScape and FGSEA, and spatial transcriptomics and single-cell sequencing data were analyzed to explore HJURP’s distribution and potential functions. Additionally, correlations between HJURP expression and genetic alterations, immune cell infiltration, and potential therapeutic responses were evaluated.ResultsHJURP was identified as a significant prognostic biomarker in all four cohorts, with high expression associated with increased risk of overall survival (OS) death (TCGA-LUAD: HR = 1.93, 95% CI: 1.321–2.815, P &lt; 0.001; GSE31210: HR = 2.75, 95% CI: 1.319–5.735, P = 0.007; GSE68465: HR = 1.57, 95% CI: 1.215–2.038, P &lt; 0.001; GSE72094: HR = 2.2, 95% CI: 1.485–3.27, P &lt; 0.001). Functional analyses indicated that HJURP is involved in DNA metabolic processes, cell cycle regulation, and mitotic processes, with significant activation of pathways related to MYC targets, G2M checkpoint, and DNA repair. High HJURP expression was associated with higher mutation frequencies in TP53, CSMD3, TTN, and MUC16, and positively correlated with pro-inflammatory immune cell infiltration and several immune checkpoints, including PD-L1 and PD-L2. Chemotherapeutic agents such as gefitinib and sorafenib were predicted to be effective against high HJURP-expressing tumors.ConclusionHJURP is a pivotal biomarker for LUAD, consistently associated with poor prognosis and advanced disease stages. Its high expression correlates with specific genetic alterations and immune profiles, highlighting its potential as a therapeutic target. Future studies should validate these findings in larger cohorts.