bluuebunny/crossref_metadata_2025 huggingface dataset:
STUDIES ON THE SAFETY OF THE COMPLEX OINTMENT UBEROSEPT
Authors:   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Peregonchiy A.R. , Pavlenko O.B. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Zimnikov V.I. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy
Published: March 2024

The article provides the data on the safety of the complex ointment Uberosept. After applying the ointment to the udder lobe at a therapeutic dose of 5.0 g and at a threefold dose - 15.0 g, no changes were observed in the clinical condition of the animal, namely pulse, body temperature, number of respiratory movements. There were also no changes in average daily milk production during the study period. When analyzing the morphological blood composition, hematological indicators (leukocytes, erythrocytes, hemoglobin, hematocrit, ESR), no changes were found indicating a negative effect of the ointment Uberosept on the body. A biochemical blood testing did not establish a pathogenic effect of the drug on any organ system. The indicators of protein, carbohydrate, lipid and mineral metabolism did not undergo any significant changes. The transdermal drug Uberosept can be recommended for further study and use.
EFFECT OF CARTISILAN ON FRACTURE UNION IN DOGS
Authors:   FSBSI Krasnodar Scientific Center for Animal Science and Veterinary Medicine, Semenenko M.P. , Vinokurova D.P. ,   FSBEI Kuban State Agrarian University named after I.T. Trubilin, Vlasenko A.A. ,   FSBSI Krasnodar Scientific Center for Animal Science and Veterinary Medicine, Kuzminova E.V. ,   FSBSI Krasnodar Scientific Center for Animal Science and Veterinary Medicine, Tsvetkov O.E. ,   FSBEI Kuban State Agrarian University named after I.T. Trubilin
Published: March 2024

The article is aimed at the study of the osteogenic activity of cartisilan using the example of dogs with commi-nuted fractures of tubular bones in order to determine its efficiency, effect on mineral metabolism, restoration of bone and cartilage tissue and anabolic processes.
PHOSPHATIDE-OIL EMULSION IN THE DIETS OF CATTLE YOUNG STOCK
Authors:   Scientific and Practical Center of the National Academy of Sciences of Belarus for Animal Breeding, Nadarinskaya M.A. , Kozinets A.I. ,   Scientific and Practical Center of the National Academy of Sciences of Belarus for Animal Breeding, Golushko O.G. ,   Scientific and Practical Center of the National Academy of Sciences of Belarus for Animal Breeding, Kozinets T.G. ,   Scientific and Practical Center of the National Academy of Sciences of Belarus for Animal Breeding
Published: March 2024

The use of secondary products of the oil extraction industry in the diets of farm animals allows us to make up for the protein deficiency and improve the quality of concentrated feed. In this regard, the aim of the research was to study the effectiveness of the inclusion of a phosphatide-oil emulsion (POE) in the mixed feed for cattle young stock. It was found that the inclusion of the studied product in the compound feed for young cattle in the amount of 1.0%, 2.0 and 3.0% by weight contributed to an increase in the average daily gain, ensuring activation of biochemical processes in the blood and changes in the intensity of protein metabolism.
ASSESSMENT OF THE RELATIVE ABUNDANCE OF ANTIBIOTIC RESISTANCE GENES OF BACTERIA IN THE GUT OF PIGLETS (SUS SCROFA DOMESTICUS) IN THE EARLY NEONATAL PERIOD
Authors:   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Syromyatnikov M.Yu. ,   Voronezh State University,   Voronezh State University of Engineering Technologies, Shabunin S.V. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Nesterova E.Yu. ,   Voronezh State University,   Voronezh State University of Engineering Technologies, Gladkikh M.I. ,   Voronezh State University of Engineering Technologies, Smirnova Yu.D. ,   Voronezh State University of Engineering Technologies, Burakova I.Yu. ,   Voronezh State University,   Voronezh State University of Engineering Technologies, Morozova P.D. ,   Voronezh State University,   Voronezh State University of Engineering Technologies, Gryaznova M.V. ,   Voronezh State University of Engineering Technologies, Mikhaylov E.V. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy
Published: March 2024

The article presents the assessment of the presence and relative amount of antibiotic resistance genes of bacteria in the gut microbiome of piglets in the early neonatal period. The genes for beta-lactam antibiotics (penicillins, cephalosporins, carbapenems, monobactams) have become the dominant majority of the antibiotic resistance genes present in both healthy and sick piglets. Tetracycline resistance genes were also found in the samples of healthy and sick animals. Healthy animals had the aminoglycoside resistance gene Aph3-III (relative content - 81.15%). The quinolone antibiotic resistance genes QnrB5 and QnrB19 were present in both healthy and sick animals, and the gene QnrD was identified only in the piglets with diarrhea (relative content - 10.27%). The same relative abundance of the sulfonamide resistance gene SulII (relative content - 82%) was demonstrated in both healthy and sick piglets, while the gene SulIII was found only in the animals with diarrhea (relative content - 13.44%). The results show a wide spread of antibiotic resistance genes in the population of healthy piglets and piglets with diarrhea, and this requires special attention from pig breeding farms in order to minimize further migration of antibiotic resistance genes.
ABUNDANCE OF BACTERIAL ANTIBIOTIC RESISTANCE GENES IN SWINE DURING THE FATTENING PERIOD (SUS SCROFA DOMESTICUS)
Authors:   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Syromyatnikov M.Yu. ,   Voronezh State University,   Voronezh State University of Engineering Technologies, Shabunin S.V. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Nesterova E.Yu. ,   Voronezh State University,   Voronezh State University of Engineering Technologies, Gladkikh M.I. ,   Voronezh State University of Engineering Technologies, Smirnova Yu.D. ,   Voronezh State University of Engineering Technologies, Gryaznova M.V. ,   Voronezh State University of Engineering Technologies, Burakova I.Yu. ,   Voronezh State University,   Voronezh State University of Engineering Technologies, Morozova P.D. ,   Voronezh State University,   Voronezh State University of Engineering Technologies, Mikhaylov E.V. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy
Published: March 2024

The aim of the study was to analyze the gut microbiome of swine during the fattening period, aimed at identify-ing antibiotic resistance genes. High-throughput sequencing allowed a total of 119 636 readings, bioinformatic re-search of which revealed 17 antibiotic resistance genes belonging to 4 classes of antibiotics: tetracyclines (81%), beta-lactam antibiotics (11%), erythromycins (7%) and aminoglycosides (1%). Among the 5 detected tetracycline resistance genes, the gene Tet(W) dominated, the percentage of which was 73% of the number of all tetracycline antibiotic resistance genes. Erythromycin resistance genes included ermB, ErmG and ErmF with the overwhelming majority of the latter (88%). Among the beta-lactam antibiotic resistance genes, cfxA4 (18%), cfxA5 (10%), cfxA6 (42%) and ACI1 (30%) were identified. The presence of resistance genes to aminoglycosides (Aph3-III, Ant6-Ia, Ant6-Ib, Sat4A and aadA1-pm) was found. The most common genes were Aph3-III (58%), and the least – aadA1-pm (3%). The results of the study indicate the wide presence of antibiotic resistance genes in the gut microbiome of swine. The spread of these genes may pose a threat in the future not only for agriculture, but also for the public healthcare.
Krukenberg Tumour with Skin Metastasis: A Rare Calamitous Disease
Authors: Thakur Anantika , Gupta Neelam
Published: March 2024

Krukenberg tumour with cutaneous metastasis is a rare entity signifying a disseminated disease with poor prognosis. The prevalence of Krukenberg tumour differs among populations. In regions with a high prevalence of gastric carcinoma, such as Japan, these tumours comprise up to 17.8% of all ovarian carcinomas. We report a case of 42-year-old female patient who presented with lower abdomen pain and nodular lesions over the skin after undergoing total gastrectomy for gastric carcinoma eighteen months back. Through a review of relevant literature and case studies, this paper elucidates the clinical significance of cutaneous metastasis in Krukenberg tumors and highlights the importance of multidisciplinary approaches in managing this condition effectively.

Keywords: poor prognosis, signet ring adenocarcinoma, gastric adenocarcinoma, skin metastasis, krukenberg tumour
Solving the single depot open close multiple travelling salesman problem through a multi-chromosome based genetic algorithm
Authors: Veeresh M. , Kumar T. Jayanth , Thangaraj M.
Published: March 2024

The multiple travelling salesman problem (MTSP) extends the classical travelling salesman problem (TSP) by involving multiple salesman in the solution. MTSP has found widespread applications in various domains, such as transportation, robotics, and networking. Despite extensive research on MTSP and its variants, there has been limited attention given to the open close multiple travelling salesman problem (OCMTSP) and its variants in the literature. To the best of the author's knowledge, only one study has addressed OCMTSP, introducing an exact algorithm designed for optimal solutions. However, the efficiency of this existing algorithm diminishes for larger instances due to computational complexity. Therefore, there is a crucial need for a high-level metaheuristic to provide optimal/best solutions within a reasonable timeframe. Addressing this gap, this study proposes a first meta-heuristic called multi-chromosome-based Genetic Algorithm (GA) for solving OCMTSP. The effectiveness of the developed algorithm is demonstrated through a comparative study on distinct asymmetric benchmark instances sourced from the TSPLIB dataset. Additionally, results from comprehensive experiments conducted on 90 OCMTSP symmetric instances, generated from the renowned TSPLIB benchmark dataset, highlight the efficiency of the proposed GA in addressing the OCMTSP. Notably, the proposed multi-chromosome-based GA stands out as the top-performing approach in terms of overall performance. Further, solutions to symmetric TSPLIB benchmark instances are also reported, which will be used as a basis for future studies.
A two-phase model for resilient hub and mobile distribution centers location
Authors: Jesri Zahra Sadat Hasanpour , Pourmohammadreza Nima , Farnia Seyed Farbod , Hasanpour Jesri Seyed Omid
Published: March 2024

Hub location is crucial for resilient and uninterrupted supply chain operations, particularly during disruptions or unforeseen events. In this paper, we propose a resilience hub location framework for Third Party Logistics (3PL) companies with two key objectives: optimizing demand flows and establishing a resilient network capable of with-standing sudden disruptions. The study aims to identify the key criteria that contribute to the successful implementation of the resilient center. The proposed structure utilizes a two-phase decision-making methodology. The first phase presents a new Multi-Criteria Decision-Making (MCDM) approach called SWARA-EDAS method that evaluates and ranks potential locations based on resiliency criteria. The second phase proposes an optimization model to determine the optimal hub location. To illustrate the approach, a real-world case study of a 3PL company in Tehran is included. Due to the absence of precise demand data in the case study, a novel clustering approach is proposed to estimate the demand flow. Each individual cluster can be considered as a distinct demand point, and a clustering analysis involving 122 regions within Tehran is conducted, taking into account various factors such as population, economic index, accessibility to the Internet, and number of business units. To enhance the resiliency of the network, mobile distribution centers are also deployed. These mobile centers not only provide flexibility but also serve as backup capabilities in the event of a disruption or failure at the fixed hub. The proposed structure offers practical in-sights for 3PL companies seeking to implement a resilient network structure.
Biological screening to identify hits the Therapeutic Targets of Alzheimer's disease and their role in the pathogenesis
Authors: Singh Pooja , Sharma Divya , Singh Akanksha , Gupta Himanshu , Singh Arjun
Published: March 2024

Alzheimer's disease (AD) is a major problem in today's societies. More than five million Americans are living with Alzheimer's disease in the United States, with the majority being 65 and older. According to the Alzheimer's Association Report, the number of persons affected by Alzheimer's disease in the United States would rise to fourteen million by 2060. The disease, which is the most prevalent form of dementia, is a progressive and irreversible brain disorder that gradually deteriorates an individual's cognitive function. It advances from preclinical to early- to moderate- to late-stage disease. Early symptoms primarily include cognitive impairment, particularly memory loss. Current Alzheimer's disease treatment can be divided into two categories based on the disease's stage. Galantamine, rivastigmine, and donepezil as acetylcholinesterase inhibitors are suitable for mild to moderate cases to provide transient symptomatic relief among patients. Memantine, an N-methyl D-aspartate (NMDA) antagonist, is used as monotherapy to treat symptoms of moderate to severe Alzheimer's disease. These medications are typically selective molecules that target certain proteins ("one compound-one target" method), and their main goal is to restore physiological acetylcholine levels. Nonetheless, multiple pathways of Alzheimer's disease pathogenesis have been hypothesized to far, and they have been proven to overlap and influence one another.
醫院牧關懷服務：推動 ”個人化接觸”
Authors: 石台華 石台華
Published: March 2024

作者探討了醫療保健環境中“高科技”背景下”個人化接觸” (high touch) 的重要性。這一主題對於病人患病期間的日常體驗至關重要。醫療照顧不僅僅是對疾病或病症的回應，而是對生命整全意義的終生參與，病人越來越意識到自己需要整體性照護，研究顯示，僅靠“高科技”無法滿足精神需求，精神的危機日益凸顯在病人期間。病人不再容忍“高科技”與非接觸式醫療保健。他們想要兩全其美——“高科技”和 ”個人化接觸” (high touch) 的照護。那麼，問題是如何更好地應對未來發展的特殊挑戰和需求？“個人化接觸” (high touch) 如何在醫療保健領域採取必要的前進步驟？

 

The author explores the importance of "high touch” in the context of “high technology” in settings for medical care. This theme is crucial in the daily experi-ence of patients in their time of illness. Health care is not simply a response to ill-ness or disease. It is a holistic, lifelong engagement with the meaning of life. Pa-tients are becoming more aware of their need for holistic care. Research indicates that “high technology” alone cannot satisfy the spiritual needs, and spiritual crises which become increasingly prominent during experiences of illness. Patients no longer tolerate “high-tech," no-touch health care. They want the best of both worlds — “high-tech” and “high-touch” care. The question, therefore, is how best to face special challenges and demands in light of future development? How can "high touch" take the necessary forward steps it needs to take in medical care?

 
Toward Embodied Defamiliarization: Immersion, Predictive Processing, and Anna Kavan’s Ice
Authors: Stopel Bartosz
Published: March 2024

In an attempt to further develop debates at the intersection of cognitive and unnatural narratology, the article argues in favor of a framework for capturing immersion–defamiliarization interaction in narratives, which involves the possibility of defamiliarization being an embodied phenomena that does not adversely affect immersion. The article argues that when framing scalar models of the immersion–defamiliarization axis in embodied predictive processing and in the psychology of art, defamiliarization can in some cases take an embodied form, which does not obstruct immersion. The argument is developed with three interrelated claims showcasing that immersion requires some degree of defamiliarization in the first place, that stylistic features, far from being transparent, can mitigate defamiliarization effects in unnatural narratives and sustain immersion because of emotional charge, and those reflective or critical attitudes associated with defamiliarization can take a form of intuitions and sensations, remaining embodied rather than distanced and cerebral. The article illustrates this point by analyzing Anna Kavan’s avant-garde novel Ice, which is both a staple of unnatural narratives and unusual for its immersive capacities.
Microbiological profile of artisanal coalho cheese produced in the Seridó region of Rio Grande do Norte, Brazil
Authors: NASCIMENTO Érica Lima de Souza , ARAÚJO Emmanuella de Oliveira Moura , SALES Danielle Cavalcanti , LUCENA Luis Medeiros de , ANAYA Katya , URBANO Stela Antas , BEZERRA Joadilza da Silva , RANGEL Adriano Henrique do Nascimento
Published: March 2024

The production of artisanal cheeses is generally done empirically, without strict controls on the hygiene and final quality of these products. The aim of this study was to investigate the microbiological profile of artisanal coalho cheese produced in the Seridó region of Rio Grande do Norte. Forty-five samples were collected from eleven municipalities. The results for Staphylococcus aureus, Listeria monocytogenes, and Salmonella sp. were in line with current legislation. When analyzing coliforms at 35 and 45°C, more than 40% of the samples were contaminated to above legal limits. The fat content of the cheeses was below the regulated level, but the moisture content was in line with the category standards. In conclusion, the microbiological profile of artisanal coalho cheese produced in the Seridó region of Rio Grande do Norte does not yet meet the standards set by the Brazilian Ministry of Agriculture and Livestock decree 146, since the standards stipulated for total and thermotolerant coliforms still need to be better monitored, as contamination by these microorganisms is indicative of hygiene failures in the manufacturing processes. Standardizing artisanal products remains a challenge, highlighting the need for enhanced monitoring of product quality and health standards.
Rezension von: Sprotte, Bernhard, Aus der Geschichte der Tauberbrücken
Authors: Gräter Carlheinz , Sprotte Bernhard
Published: March 2024

Bernhard Sprotte: Aus der Geschichte der Tauberbrücken. 272 S., Leinen. Kreuzwertheim 1977. 29,80 DM
Rezension von: Wendehorst, Alfred (Hrsg.), Urkundenbuch der Marienkapelle am Markt zu Würzburg 1317-1530 ...
Authors: Wunder Gerd , Wendehorst Alfred
Published: March 2024

Quellen und Forschungen zur Geschichte des Bistums und Hochstifts Würzburg. Herausgegeben von Theodor Kramer. Band 27. Urkundenbuch der Marienkapelle am Markt zu Würzburg 1317-1530. Hrsg. v. Alfred Wendehorst, 1974. 524 S. - Band 29. Urkundenregesten zur Geschichte des Juliusspitals in Würzburg 1576-1849. Bearb. v. Hermann Hoffmann. 1976.4345. Würzburg: Schöningh, Je DM 98,-.
Rezension von: Heimpel, Hermann, Zu zwei Kirchenreform-Traktaten des beginnenden 15. Jahrhunderts
Authors: Zieger Andreas , Heimpel Hermann
Published: March 2024

Hermann Heimpel: Studien zur Kirchen- und Reichsreform des 15. Jahrhunderts. II. Zu zwei Kirchenreform-Traktaten des beginnenden 15. Jahrhunderts. Heidelberg 1974. 54 S.
Rezension von: Schäfer, Alfons (Hrsg.), Neue Forschungen zu Grundproblemen der badischen Geschichte im 19. und 20. Jahrhundert
Authors: Taddey Gerhard , Schäfer Alfons
Published: March 2024

Oberrheinische Studien 2. Neue Forschungen zu Grundproblemen der badischen Geschichte im 19. und 20. Jahrhundert. Hrsg. von Alfons Schäfer im Auftrag der Arbeitsgemeinschaft für geschichtliche Landeskunde am Oberrhein, Karlsruhe: G. Braun 1973. 407 S., 25 Abb. DM 36,-.
Rezension von: Sauer, Paul, Revolution und Volksbewaffnung
Authors: Taddey Gerhard , Sauer Paul
Published: March 2024

Paul Sauer: Revolution und Volksbewaffnung. Die württembergischen Bürgerwehren im 19. Jahrhundert, vor allem während der Revolution von 1848/49. Ulm: Süddeutsche Verlagsgesellschaft 1976. 240 S. Ill.
Rezension von: Mann, Bernhard, Die Württemberger und die deutsche Nationalversammlung 1848/49
Authors: Magen Ferdinand , Mann Bernhard
Published: March 2024

Bernhard Mann: Die Württemberger und die deutsche Nationalversammlung 1848/49. Düsseldorf: Droste 1975. 453 S. (Beiträge zur Geschichte des Parlamentarismus und der politischen Parteien. 57.) DM 78,-.
Rezension von: Winkel, Harald, Die Ablösungskapitalien aus der Bauernbefreiung in West- und Süddeutschland
Authors: Schumm Marianne , Winkel Harald
Published: March 2024

Harald Winkel: Die Ablösungskapitalien aus der Bauernbefreiung in West- und Süddeutschland (Quellen und Forschungen zur Agrargeschichte). Stuttgart: Fischer 1968. 176 S.
Rezension von: Uhlig, Otto, Arbeit - amtlich angeboten
Authors: Ulshöfer Kuno , Uhlig Otto
Published: March 2024

Otto Uhlig: Arbeit - amtlich angeboten. Der Mensch auf seinem Markt. Kohlhammer: 1970. 336 S. 48 Abb.-Tafeln. DM 48,-.
Rezension von: Wackerfuß, Winfried u.a. (Hrsg.), Zu Kultur und Geschichte des Odenwaldes
Authors: Neumaier Helmut , Wackerfuß Winfried
Published: March 2024

Zu Kultur und Geschichte des Odenwaldes. Festgabe für Gotthilde Güterbock. Hrsg. im Auftrag des Breuberg-Bundes von W. Wackerfuß, P. Assion und R. Reutter, Breuberg-Neustadt 1976. 288 S. DM 22,-.
Rezension von: Fleischhauer, Werner, Die Geschichte der Kunstkammer der Herzoege von Wuerttemberg in Stuttgart
Authors: Grünenwald Elisabeth , Fleischhauer Werner
Published: March 2024

Werner Fleischhauer: Die Geschichte der Kunstkammer der Herzöge von Württemberg in Stuttgart. (Veröffentlichungen der Kommission für Geschichtliche Landeskunde in Baden-Württemberg, B, 87. B.) Stuttgart 1976. 153 S., 4 TfL, 62 Abb., 1 Stammtafel. DM 35,-.
Rezension von: Schwedt, Elke, Volkskunst und Kunstgewerbe
Authors: Schumm Marianne , Schwedt Elke
Published: March 2024

Elke Schwedt: Volkskunst und Kunstgewerbe. (Untersuchungen des Ludwig-Uhland-Instituts der Universität Tübingen Bd. 28). 1970. 186 S.
Rezension von: Wendehorst, Alfred; Pfeiffer, Gerhard (Hrsg.), Fränkische Lebensbilder Bd. 7
Authors: Zieger Andreas , Wendehorst Alfred , Pfeiffer Gerhard
Published: March 2024

Fränkische Lebensbilder. 7. Band. Hrg. im Auftrag der Gesellschaft für fränkische Geschichte von G. Pfeiffer und A. Wendehorst. Neustadt/Aisch 1977, 258 S. DM 36,-.
Rezension von: Priesner, Rudolf, Herzog Carl Eduard zwischen Deutschland und England
Authors: Wunder Gerd , Priesner Rudolf
Published: March 2024

Rudolf Priesner: Herzog Carl Eduard zwischen Deutschland und England. Eine tragische Auseinandersetzung. Gerabronn: Hohenloher Druck- und Verlagshaus. 1977. 272 S.
Rezension von: Wildermuth, Ottilie, Bilder und Geschichten aus Schwaben
Authors: Wunder Gerd , Wildermuth Ottilie
Published: March 2024

Ottilie Wildermuth: Bilder und Geschichten aus Schwaben mit den Schwäbischen Pfarrhäusern. Eingeleitet von Peter Härtling, hrsg. von Rosemarie Wildermuth. Stuttgart: Steinkopf 1977. 200 S. DM 19,80.
Rezension von: Biegert, Hans (Hrsg.), Festschrift anlässlich des 100jährigen Bestehens des Fleckviehzuchtvereins Schwäbish Hall
Authors: Wunder Gerd , Biegert Hans
Published: March 2024

Festschrift anläßlich des 100jährigen Bestehens des Fleckviehzuchtvereins Schwäbisch Hall. 1977. 60 S. Ill.
INHERITANCE OF CORPORATE RIGHTS IN AGRICULTURAL PRODUCTION COOPERATIVES
Authors:   Caucasian Notary District, SITKO N.G.
Published: March 2024

The article deals with some problematic aspects of the inheritance of a share in an agricultural production cooperative, as well as problematic procedural aspects of the inheritance of the above share. Also, within the framework of the study, the issues of the implementation by heirs of the right of membership in an agricultural production cooperative were considered. The relevance of the chosen research topic lies both in the prevalence of such an organizational and legal form as an agricultural production cooperative, and in the presence of imperfect legal regulation on the inheritance of corporate rights in this organizational and legal form. The aim of the study is a comprehensive analysis of the legal regulation of the issues of inheritance of corporate rights in agricultural production cooperatives. In the course of the study, both general scientific research methods and special legal research methods were used, including the systematic method and the literal method of interpreting law. It is concluded that there are shortcomings in the current legal regulation of the above issues, amendments to the current legislation aimed at improving the legal regulation on the issue under consideration are proposed.
Human rights education within the normative frameworks of the United Nations
Authors: Dias Júnior Clóvis Marques , Dias Paula Regina Pereira dos Santos Marques
Published: March 2024

This article focuses on human rights education policy and aims to analyze the international regulatory frameworks on human rights education and training, seeking to highlight how United Nations documents serve as a reference for developing a human rights education policy. A documentary analysis of the normative frameworks was carried out, which favored the understanding of the sources that established international regulatory frameworks aimed at promoting education in human rights. From the analysis, it was clear that there is a global human rights education policy systematized within the UN, which defines principles, objectives, actors and spaces for action. This global policy seeks to direct the content, principles and fields of action foreseen for human rights education.
Políticas públicas e gestão no Brasil em consonância com a Agenda 2030 da Onu: uma análise das grandes regiões (2015-2022)
Authors: Pereira Alesandra Campos , Vieira Jeferson de Castro
Published: March 2024

O estudo investiga a eficácia das políticas públicas brasileiras na redução das disparidades regionais e na consecução de três objetivos da Agenda 2030 – erradicação da pobreza, educação de qualidade, e emprego e crescimento econômico –, especialmente nos anos de 2015 a 2022. Utilizando dados qualitativos e quantitativos, empregam-se indicadores socioeconômicos das grandes regiões brasileiras. Os resultados não revelam a efetividade das políticas públicas na promoção do desenvolvimento sustentável, com redução das desigualdades regionais observadas ao longo do período analisado.
Evaluating the Impact of Social Media News on the Level of Students’ Fear and Anxiety during the COVID-19 Pandemic
Authors:   Department of Health Information Technology, Varastegan Institute for Medical Sciences, Mashhad, Iran, Amini Fatemeh , Yazdipour Alireza Banaye ,   School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran；Students’ Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran, Rashki Asma ,   Department of Health Economics, Iran University of Medical Sciences, Tehran, Iran, Sheibani Reza ,   Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran, Habibi Mohammad Reza Mazaheri ,   Department of Health Information Technology, Varastegan Institute for Medical Sciences, Mashhad, Iran
Published: March 2024

Background: The spread of false and inaccurate news on social networks has increased during the COVID-19 pandemic, leading to fear and panic among users globally and posing a threat to their mental well-being. Aim: This study aims to investigate the impact of social networks on inducing fear and panic among students amidst the COVID-19 outbreak. Methods: This cross-sectional study was conducted at Varastegan Institute for Medical Sciences in December 2020, involving a sample of 261 students selected through the available sampling method. The data collection tool utilized was a questionnaire, subjected to content analysis for validation. The questionnaire's reliability, determined through the test-retest method, yielded a score of 0.825. Results: Survey results revealed that virtual social networks such as Telegram (73.9%) and Instagram (65.9%) were the primary platforms for receiving COVID-19 news during the pandemic. Furthermore, 62% of students reported using these networks to access health and COVID-19-related information. Moreover, 36% of respondents indicated experiencing psychological distress due to the dissemination of COVID-19 news. Conclusion: The spread of false information on social media significantly contributes to heightened anxiety and fear among students, leading to increased psychological distress. In order to mitigate the adverse effects of misinformation on social media, it is crucial to educate students on discerning between accurate and inaccurate news. Empowering students with skills to navigate reliable sources can enhance their knowledge and help them avoid unnecessary psychological distress.
An experimental investigation to predict the durability of polyester-glass fiber composite subjected to tensile loading
Authors: Mokhtar Djamila , Medjahdi Malika , Mechab Belaid , Benderdouche Noureddine , Bestani Benaouda , Chemrak Mohammed Amin
Published: March 2024

Glass Fiber and resin composites represent a significant advance in the industry thanks to their lightness, strength, and versatility. Their mechanical strength, highlighting a number of critical aspects in the development of high-performance materials, opens up new prospects in sectors as diverse as aerospace, automotive, and construction, among others. These advances stimulate ongoing research and development in the field of composite materials, underlining the importance of these efforts in meeting future needs in terms of materials performance and durability. This study examines the capacity to predict the durability of polyester-glass fiber composites when subjected to tensile loading. The experimental approach involves exploring the mechanical properties of the composite material and changes in glass fiber content, fiber length, and plate thickness. The process includes performing tensile tests on composite specimens to assess characteristics like Young's modulus and fracture stress. The study uses analytical prediction tools, precisely the Monte Carlo approach, to evaluate the damage distribution within the composite material. The study emphasizes the substantial influence of glass fiber content with a maximum content of 60% mass resin and length with the optimum size of 60 mm on the mechanical properties where Young's modulus attains a value of 4 GPa and longevity of the composite. The study highlights the significance of plate thickness in improving structural performance and fracture toughness, where Young's modulus shows consistency across varying thicknesses. In contrast, stress shows an increasing trend with thickness, culminating in a value of 3.4 MPa. The results enhance comprehension of polyester-glass fiber composites' mechanical characteristics and prediction ability under tensile stress.
A computational fluid dynamics (CFD) modeling in a new design of closed greenhouse
Authors: Ghibeche Ismail , Nourani Ahmed , Naas Toufik Tayeb , Benziouche Salah Eddine , Buchholz Martin , Buchholz Reiner
Published: March 2024

Closed greenhouses are crucial buildings for agriculture in controlled environments because they offer the best growing conditions for crops and shield them from outside influences. Researchers can now better optimize design parameters for increased crop output and energy efficiency by simulating airflow and temperature distribution inside closed greenhouses with the use of computational fluid dynamics (CFD) modeling. We examine the temperature distribution and airflow patterns inside the greenhouse under various environmental conditions using CFD simulations. Our findings show that, in comparison to traditional greenhouse constructions, the novel design greatly improves temperature uniformity and lowers energy use. Moreover, the greenhouse's thermal insulation design minimizes heat loss during the colder months, enhancing energy efficiency overall. We offer important insights into how design changes affect airflow dynamics and thermal performance in enclosed greenhouses by utilizing CFD modeling. Our research highlights how effective CFD modeling can be in maximizing crop yields and achieving sustainable agricultural practices through greenhouse design optimization. The integration of novel design components for improved energy efficiency and crop yield is a feasible outcome of this research, which advances the field of closed greenhouse technology overall. The research highlights the value of using CFD modeling to inform the design of next-generation closed greenhouse systems and has important ramifications for sustainable agriculture methods and greenhouse management techniques. The goals were to assess how well various heating/cooling systems maintained the ideal environmental conditions for plant growth. A verified CFD model was used to run the simulations, which took into account a number of variables including the shape of the greenhouse, the outside environment, and the interior heat sources. Important discoveries include understanding temperature gradients, airflow patterns, and possible areas for environmental management enhancement are presented in this paper. Results showed that the species mass transfer of vapor (H2o) will vary over time.
Chatbot Based Online Shopping Web Application
Authors:   Asst.Professor Department of Data Science, Malla Reddy University, Hyderabad, India., Reddy Dasari Veera , Padmaja Dr. Madugula ,   Asst. Professor, Department of CSE, GITAM University, Visakhapatnam, India., Kumar Korimisetti Manoj ,   UG Student, Department of CSE, SR University, Hanuma Konda, India., Kiran Kunchala Shiva ,   UG Student, Department of CSE, SR University, Hanuma Konda, India., Pramod Pariki ,   UG Student, Department of CSE, SR University, Hanumakonda, India
Published: March 2024

This study presents an innovative chatbot system aimed at transforming product recommendation and customization. It integrates feature-based input analysis and user-driven updates to provide tailored product recommendations. Users can input specific product features, leading to personalized suggestions that align precisely with their preferences. Utilizing a dynamic customization framework, the chatbot consistently refines recommendations based on user interests, ensuring a personalized and evolving user experience. The project seeks to reshape the realm of product recommendation systems by providing a seamless and adaptable interface, enhancing the exploration and acquisition of products that precisely match individual needs and preferences.
Effect of Ginger and Garlic Inclusion on the Performance of Lactobacillus plantarum in Maize (Zea mays l.) Fermentation into Ogi
Authors:   Department of Food Science and Technology, Federal University of Technology, P.M.B. 704, Akure 340252, Nigeria., Adejobi Temitope H. , Olorunnusi Johnson O. ,   Department of Food Science and Technology, Federal University of Technology, P.M.B. 704, Akure 340252, Nigeria., Adegbanke Omolara R. ,   Department of Food Science and Technology, Federal University of Technology, P.M.B. 704, Akure 340252, Nigeria., Oguntoyinbo Oladotun O. ,   Department of Food Science and Technology, Lagos State University of Science and Technology, Ikorodu, Nigeria., Enujiugha Victor N. ,   Department of Food Science and Technology, Federal University of Technology, P.M.B. 704, Akure 340252, Nigeria.
Published: March 2024

Maize grains undergo different indigenous processes involving various microbes (Lactic acid bacteria and yeasts) in order to be converted into intermediate and finished products during the process of fermentation. This study was conducted to evaluate the effect of ginger and garlic inclusion on the performance of Lactobacillus plantarum as a single starter in the fermentation of maize into ogi. Ginger and garlic powders were prepared and added to the maize ogi slurry at different percentages as follows: M100 (100% maize ogi), MGG90 (90% maize ogi + 5% ginger+ 5% garlic), MGG80 (80% maize ogi + 15% ginger + 5% garlic), MGG70 (70% maize ogi + 25% ginger + 5% garlic), which was subsequently fermented, dried to flour and then packaged in zip-lock bags. The total viable miicrobial count, pH and total titratable acidity were carried out on the samples during fermentation, while the proximate composition, mineral content, antioxidant properties, functional properties, pasting properties, colour analysis and sensory parameters of the samples were analyzed using standard methods. The results showed corresponding decrease of pH in the spiced ogi slurry as total titratable acidity increased during 48 h fermentation. The results revealed that spiced maize ogi had high protein content (20.12 ± 0.60% for MGG80), fiber (1.11 ± 0.09 % for MGG70), fat (7.15 ± 0.012% for MGG70) and ash content (0.505 ± 0.008% for MGG70). Minerals like calcium, potassium, sodium, phosphorous, iron and zinc were present in all the samples. The antioxidant properties increased with the addition of ginger and garlic. The bulk density ranged from (0.55- 0.667 g/ml) while sample M100 recorded the highest swelling capacity. Pasting properties showed varying peak viscosity, breakdown and setback values. Sensory analysis showed that sample M100 was the most preferred sample. The study established that the inclusion of ginger and garlic in maize ogi positively influenced the performance of Lactobacillus plantarum during fermentation, leading to alterations in microbial dynamics and improvements in nutritional properties of maize ogi.
Application of Android-based Learning Media Applications for Primary Education
Authors: Andri  , Somawati
Published: March 2024

Today's learning media has improved considerably than ever before and English at this time is a very important need because English has become an International language. As a means of supporting these activities, cellular phones (cellphones) can be used where currently there are many people from various circles who own and use them. For this reason, researchers created an English learning media application for children based on multimedia and smartphones that is expected to support learning activities and be easy for children to understand. This application contains basic English materials, such as introduction to alphabets, families, numbers and others. This application is equipped with animated images and how to pronounce them in English as well as practice questions for learning the material. By using the Android platform, with this application, it is hoped that children can better understand material about English. The creation of this android-based English learning application uses Adobe Flash CS5 and Adobe Photoshop CS5 software to design application designs. The software used in the creation of this application is Android-SDK (Software Development Kit), JDK (Java Development Kit) installation package, Eclipse Indigo and this application is tested on Android emulators and some android smartphones.
The investigation and prediction for salary trends in the data science industry
Authors: Jiang Wentao
Published: March 2024

The aim of this study is to utilize machine learning techniques to analyze salary trends within the data science industry spanning the last three years. Initially, this study presented an overview of four machine learning models: Random Forests, eXtreme Gradient Boosting (XGBoost), Neural Networks, and Support Vector Regression (SVR), elucidating their fundamental principles and characteristics. Subsequently, this study gathered, preprocessed, and engaged in feature engineering with salary data from the data science sector over the past three years. These four machine learning models are then employed for salary prediction, and the ensuing model outcomes are meticulously examined. By conducting a comparative analysis and evaluating each models performance, their respective strengths and weaknesses were identified. In conclusion, this study summarized the studys findings and deliberated on potential future research directions. The innovation inherent in this research lies in the application of diverse machine learning models to forecast salaries within the data science industry, coupled with the comprehensive comparison and evaluation of these models. The main conclusion is that XGBoost performs best in salary prediction, while neural networks are more accurate and complex, and SVR has limited applicability. Future research prospects include improving the accuracy and interpretability of models, exploring more features and data processing methods to enhance the accuracy and practicality of salary prediction in the data science industry.
Exploration of classical neural network architecture in cycleGAN framework with face photo-sketch synthesis
Authors: Wang Xinyu
Published: March 2024

CycleGAN has been a benchmark in the style transfer field and various extensions with wide applications and excellent performance have been introduced in recent years, however, discussion about its architecture exploration which could enable us to further understand the concept of generative model is scarce. In this paper, several architectures referenced from classical convolutional neural networks are implemented into the generator and discriminator of the cycleGAN model, including AlexNet, DenseNet, GoogLeNet, and ResNet. Their feature extraction modes are imitated and modified into blocks to embed into the encoder part of the generator while the discriminator directly uses their model except it outputs a patch classification. In advance to mitigate the possible imbalance between generator and discriminator ability, a self-adjusting learning rate strategy based on the discriminator confidence is introduced. Multiple evaluation metrics are utilized to measure the performance of each model. Experimental results indicate an AlexNet-like architecture model could achieve a competitive performance than the baseline cycleGAN and present better fine details and high-frequency information.
Predicting customer subscriptions to fixed-term deposit products based on machine learning approach
Authors: Yi Haodong
Published: March 2024

In the contemporary dynamic financial milieu, financial institutions confront the exigency of comprehending and tailoring services to meet the idiosyncratic demands of individual customers, with a particular emphasis on forecasting fixed-term deposit commitments. The integration of machine learning proffers a robust framework to disentangle the intricacies inherent in customer decision-making processes. This investigation expounds upon a systematic framework encompassing data rectification, validation, and the process of feature curation, underscoring the imperative nature of a scrupulous and methodical approach. The exposition introduces an array of machine learning models, including XGBoost, Logistic Regression, Random Forest, Neural Networks, and Gaussian Naive Bayes, offering elucidation on their respective applications. Noteworthy attention is accorded to the Random Forest and Neural Networks models, with detailed explanations of their operational principles and strengths. The study underscores the criticality of conscientious data preprocessing, featuring a presentation of pertinent Python libraries and methodologies for data refinement, validation, and feature selection. The discourse culminates in a delineation of the potential of neural networks as a potent instrument in the domain of machine learning, affording insight into their intricate architecture and the iterative training process, whilst accentuating their versatility across diverse domains. In summation, this inquiry furnishes a comprehensive and pragmatic compendium on the utilization of machine learning methodologies for the prediction of customer subscriptions within the financial sector.
From MOSFET to FinFET to GAAFET: The evolution, challenges, and future prospects
Authors: Duan Haoyuan
Published: March 2024

With the swift progression of semiconductor technology, the transition from Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs) to Fin Field-Effect Transistors (FinFETs) and further to Gate-All-Around Field-Effect Transistors (GAAFETs) presents significant potential for the future of electronic devices and systems. This article delves into the intricate applications, challenges, and prospective evolutions associated with FinFET and GAAFET technologies. Findings suggest that these technologies are particularly apt for low-power logic systems, high-performance computing, and artificial intelligence domains. However, as dimensions shrink, challenges pertaining to heat dissipation, leakage, and manufacturing consistency become prominent. Despite these hurdles, the horizon for semiconductor technology remains bright, encompassing exploration of alternative materials such as Germanium and 2D compositions and innovative designs like U-shaped Field-Effect Transistors and Complementary Field-Effect Transistors. As the industry continues its relentless pursuit of even more efficient, smaller transistors, the exploration of alternative materials and diversification in architecture may play a pivotal role in future developments. In essence, while the semiconductor sphere confronts challenges, relentless innovation promises a future brimming with even more efficient and compact transistor technologies.
Sentiment analysis with adaptive multi-head attention in Transformer
Authors: Meng Fanfei , Wang Chen-Ao
Published: March 2024

We propose a novel framework based on the attention mechanism to identify the sentiment of a movie review document. Previous efforts on deep neural networks with attention mechanisms focus on encoder and decoder with fixed numbers of multi-head attention. Therefore, we need a mechanism to stop the attention process automatically if no more useful information can be read from the memory.In this paper, we propose an adaptive multi-head attention architecture (AdaptAttn) which varies the number of attention heads based on length of sentences. AdaptAttn has a data preprocessing step where each document is classified into any one of the three bins small, medium or large based on length of the sentence. The document classified as small goes through two heads in each layer, the medium group passes four heads and the large group is processed by eight heads. We examine the merit of our model on the Stanford large movie review dataset. The experimental results show that the F1 score from our model is on par with the baseline model.
Comparative analysis of machine learning algorithms for Diabetes Mellitus prediction
Authors: Li Zeqi
Published: March 2024

Type II Diabetes Mellitus (T2DM) has become an increasingly prevalent disease due to the rising number of the obese population. Even though this disorder is the leading cause of more severe health complications, studies have shown that T2DM is largely preventable if detected in an early phase. To improve current diagnosis and prognosis procedures, this study aims to examine three machine learning algorithmsK-Nearest Neighbor (KNN), Random Forest (RF), and Support Vector Classification (SVC)and their potential in making accurate predictions on the outcomes of the Pima Indians Diabetes Dataset (PIDD). After training and 5-fold cross validation, the results show that the RF algorithm has the highest accuracy at 75.25%, followed by SVC at 74.91% and KNN at 71.01%. In addition, feature importances were evaluated for all three models, yet we observed a drastic difference in the top-ranked features across different models, which implies that more training and larger datasets are necessary before realizing these computational approaches into practice. Nevertheless, the potential of these approaches highlighted in this study demonstrated that machine learning is a burgeoning strategy in clinical use and in solving real-world problems.