bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Implementation of Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Authors: R Madhumitha , Mohanabharathi R.
Published: March 2024

Functional magnetic resonance imaging (fMRI) is a neuroimaging technique that uses MRI technology to quantify brain activity by detecting changes in blood flow and applying the Blood-oxygen-level dependent (BOLD) contrast. Current neuroscience research suggests a modular brain structure. To understand the complex patterns of interaction between brain areas. The proposed system makes use of the CNN algorithm, which is an efficient method for dividing segmentation. A brain area is defined as a collection of subjects who exhibit a similar pattern of interaction between their brain areas. A thorough experimental examination utilizing benchmark data demonstrates that our technique is both effective and efficient. Two real-world fMRI studies found that the rifleman technique has the potential to improve comprehension of both normal brain activity and the abnormalities associated with psychiatric diseases. That is, mental diseases are typically defined by How an individual feels, acts, thinks, or perceives events. This is typically linked to specific areas or functions of the brain or the rest of the nervous system. This is unacceptable for a variety of time series sectors. As a result, we provide the statistical region merging approach, which is applied to picture segmentation. The method evaluates the values inside a regional range and combines them using the merging criteria, resulting in a smaller list. . As a result, we gather additional information and compare the findings to those already in the database. As a result, we decide if a person is normal or aberrant, as well as whether they are unwell.
Characterization of Myosatellite Stem Cells from Black Bone Chicken and Effect of Different Animal Serums on Growth Performance
Authors: Chaiyod Rungravee , Lertworapreecha Monthon
Published: March 2024

Isolation of muscle stem cells (myosatellite stem cells) of black bone chickens using enzymatic digestion, the pronase, and screening by low-speed centrifugation process combined with 40 μm cell strainer filtration showed that this method was able to separate chicken muscle stem cells efficiently. The results proved that the isolated cells were myosatellite stem cells expressing marker genes, c-met, Pax7, MyoD, and myogenin, by RT-PCR assay. Additionally, immunofluorescence staining with monoclonal antibodies confirmed the isolated cells were MSCs, with positive staining for canonical markers proteins: Pax7, Desmin, and actin. Evaluating the influence of fetal bovine serum (FBS), horse serum (HS), and chicken serum (CKS) supplements on MSC proliferation revealed that FBS emerged as the most effective despite its escalating cost and emerging need for alternatives. Notably, Chicken Serum (CKS) demonstrated potential as an alternative, closely following the cell proliferation rate achieved by FBS. Our findings affirm the efficacy of the devised isolation method and highlight the potential of using chicken serum in cell culture protocols.
HIGHLIGHTS
          This research established a technique for isolating myosatellite stem cells from black bone chickens through enzymatic processes combined with gradient methods. Centrifugation aids in obtaining a purer isolation of these stem cells and allows for the evaluation of various animal serums’ effects. In cell cultures, the performance of chicken serum showed no significant difference compared to bovine serum.
GRAPHICAL ABSTRACT
Artificial Intelligence and Entrepreneurship: Opportunities and Challenges
Authors: Thasmi N.A  , Dr. Sopna V Muhammed
Published: March 2024

The term artificial intelligence (AI) describes a specific set of computer techniques that allow systems to do tasks that were previously believed to be exclusive to human intelligence. Artificial Intelligence (AI) technologies are developing at a rapid pace, which has changed the entrepreneurial landscape and opened up new avenues for growth and innovation. In order to provide light on how companies might use AI to their benefit, this study intends to explore the mutually beneficial link between entrepreneurship and artificial intelligence. Artificial intelligence (AI) has emerged as a cutting-edge technology that is revolutionizing corporate operations across a wide range of industries. This abstract examines the dynamic interplay between entrepreneurship and artificial intelligence (AI), emphasizing the numerous opportunities and difficulties present in this changing field
La adaptación al anime de los cuentos de hadas como herramienta de japonización: el caso de Belle
Authors: Vicent-Ibáñez Mireya , Antona-Jimeno Tamara , Bonaut-Iriarte Joseba
Published: March 2024

La adaptación de cuentos de hadas permite mantener vivas las historias a lo largo del tiempo. En la actualidad también puede servir como una herramienta de japonización al permitir introducir elementos propios de la cultura nipona en historias originariamente occidentales. Esta investigación explora ese uso de la adaptación de los cuentos de hadas a través del análisis del anime Belle, basado en la clásica historia de La Bella y la Bestia. Mediante un análisis comparativo con la popular versión animada de Disney, se han identificado las divergencias más relevantes entre las dos obras. De esta manera, se ha comprobado cómo Belle introduce conceptos e ideas concretos que permiten acercar un imaginario concreto sobre Japón y su cultura.
Animation in immersive environments: expanding theories of authenticity in educational, historical, and political contexts
Authors: Rall Hannes , Weber Wibke , Harper Emma
Published: March 2024

This paper examines and discusses potential factors that may trigger authenticity in animated immersive environments. Our discussion draws upon three forms of authenticity, categorized as objective, constructive or symbolic, and existential authenticity. To explore these ideas, we present three case studies drawn from the authors’ own research deploying immersive media in different contexts (educational, historical, and political). The aim is to interrogate how authenticity is conceived and constructed on three levels – authenticity of narrative, authenticity of environment, and authenticity of action – during the design and production process. We start by defining the concept of authenticity with reference to previous work within the fields of journalism and tourism, and then explore its specification in animated virtual reality through the case study discussion. One important conclusion from our analysis is that authenticity markers are needed to enable users to verify the information presented and trust the educational content.
Isolated first hour hyperglycemia in oral glucose tolerance test is associated with insulin resistance
Authors: Erdin Rıdvan , Akgüneş Aşkın , Erdin Züleyha , Durmaz Ceylan Şenay , Balcı Sümeyye Buse , Aktaş Gülali
Published: March 2024

Aims: To investigate metabolic and hemogram derived inflammatory markers in patients with isolated hyperglycemia on 1st
hour of oral glucose tolerance test.
Methods: The subjects undergone 75 g OGTT for any reason were enrolled to the present retrospective cross sectional study. Plasma glucose, insulin and hemogram derived inflammatory markers, including mean platelet volume (MPV), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) of the subjects in isolated hyperglycemia group compared to those in healthy controls.
Results: Mean PLR of the isolated hyperglycemia and control groups were 106.4±28.8% and 121.4±38%, respectively (p=0.043). Mean HOMA–IR values of patients and controls were 4.09±2.84 and 3.02±2.2, respectively (p=0.027). Plasma glucose at 1st hour was significantly correlated with fasting insulin (r=0.286; p=0.018) and HOMA-IR (r=0.32; p=0.007).
Conclusion: We think that isolated 1st hour hyperglycemia in OGTT should not be classified as normal since it is associated
with increased fasting insulin and HOMA-IR levels. However, studies with larger cohort are needed to confirm our results
The relationship between albumin level and the development of acute kidney injury and mortality in critically COVID-19 patients
Authors: Koyun Sedrettin , Solmaz İhsan , Daniş Ramazan , Tekin Yunus , Alakuş Ömer Faruk , Yakut Yusuf , Başgöz Bilgin Bahadır
Published: March 2024

Aims: The impact of the Coronavirus Pandemic, which began in 2019, has considerably diminished; however, its effects still persist. While respiratory symptoms have been prominent during the pandemic, acute kidney disease has emerged as a significant contributor to morbidity and mortality. This study aims to demonstrate that serum albumin levels can serve as a predictor for acute kidney injury (AKI) and mortality, owing to their cost- effectiveness and feasibility for use across various healthcare centers. The goal is to contribute to the reduction of AKI development and mortality rates.
Methods: The study was conducted by analyzing data from a total of 350 patients admitted to intensive care units of a training and research hospital due to COVID-19 between March 1, 2020, and April 30, 2021. Of these patients, 179 (51%) were male, and 171 (49%) were female. The data were examined retrospectively. Patients were categorized into two groups based on serum albumin levels: ?2.5 mg/dl (severe hypoalbuminemia) and 2.5-3.5 mg/dl (mild hypoalbuminemia). Subsequently, the patients were further categorized into groups based on the presence or absence of AKI, and these groups were statistically compared. Demographic data, clinical information, and laboratory values of the patients were assessed. The diagnosis of acute kidney injury (AKI) was made according to KDIGO criteria. Data were compared using the SPSS version 24 software.
Results: Among the 350 patients included in the study, 115 had serum albumin levels ?2.5 mg/dl (severe hypoalbuminemia), and 235 had levels in the range of 2.5-3.5 mg/dl (mild hypoalbuminemia). Among those who developed AKI, the average albumin level was found to be 2.68 mg/dl, whereas in the group without AKI, the average albumin level was 2.76 mg/dl. Out of the total, 201 (57%) patients developed AKI, and 82% of them experienced mortality. In contrast, among the 149 (43%) patients who did not develop AKI, the mortality rate was 42%. Further subgroup analysis revealed the highest mortality rate of 88% among patients with severe hypoalbuminemia and AKI development. Conversely, the lowest mortality rate of 40% was observed in patients with mild hypoalbuminemia and no AKI.
Conclusion: This study aims to establish that low serum albumin levels should be regarded not only as a negative acute-phase reactant but also as a predictive factor for complications including acute kidney disease development and mortality. Lower albumin values are correlated with higher complication rates and increased mortality. Additionally, due to its widespread availability and low cost, serum albumin is a cost-effective diagnostic tool that can be utilized in almost any healthcare setting.
Assessing the impact of internal carotid artery stenosis on choroidal thickness using Cirrus optical coherence tomography
Authors: Berk Ergun Şule , Asfuroğlu Mahmut , Selen Fırat , Toprak Uğur , Okay Erdoğan Aysun , Alp Mehmet Numan , Yıldız Özdemir Emine
Published: March 2024

Aims: The choroid, one of the body's most highly vascularized tissues, receives its blood supply from the ophthalmic and posterior ciliary arteries, which stem from the internal carotid artery. The utilization of spectral-domain optical coherence tomography (SD-OCT) for both qualitative and quantitative assessment of the retina is increasing. The recent introduction of enhanced depth imaging OCT (EDI-OCT) has offered a novel approach to evaluate the choroid using commercially accessible SD-OCT devices. EDI-OCT enables the in vivo examination and measurement of the choroid. The main objective of our study is to evaluate choroidal thickness using EDI-OCT in patients with unilateral significant carotid stenosis; the secondary objective is to observe whether hemodynamic changes affect choroidal thickness.
Methods: The study is prospectively designed as a cross-sectional, controlled, and single-blind study, encompassing patients who underwent neck computed tomographic angiography within a one-year period due to any disease. Included patients had carotid stenosis of 50% or more on one side and less than 50% on the other side. The eyes on the side with higher carotid stenosis constituted the study group, while the other side formed the control group. Anterior and posterior segment examinations of the patients, visual acuity according to Snellen Chart, and choroidal thickness were measured.
Results: A total of 30 eyes of 15 patients were evaluated. Of the patients included in the study, 9 were men and 6 were women; the average age was 67.9 years (49-85). In the study group, the average choroidal thickness measurements were 211 µm in the nasal, 221 µm in the central and 209 µm in the temporal; in the control group, they were measured as 223 µm in the nasal, 243 µm in the central, and 231 µm in the temporal, respectively. Despite the choroidal thickness being thinner in the study group, the difference did not reach statistical significance.
Conclusion: Additional research is required to pinpoint the factors contributing to the dynamics of choroidal thickness and to delineate its significance in carotid artery stenosis more comprehensively.
Acute concurrent bilateral internal carotid artery occlusion: a teaching clinical image
Authors: Durgan Oğuzhan , Arslan Doruk
Published: March 2024

Acute bilateral internal carotid artery (ICA) occlusion is a rare stroke syndrome presenting with acute coma, and patients usually have preserved brainstem function on initial examination. In this clinical image, we report a case of acute concurrent bilateral ICA occlusion. Acute bilateral ICA occlusion is an unusual entity with a poor outcome. It can mimic metabolic encephalopathies and posterior circulation infarcts and can be differentiated by careful evaluation of brainstem functions.
terrorismo de Estado norteamericano
Authors: L. M. B.
Published: March 2024

No hay resúmenes disponibles.

ECA Estudios Centroamericanos, Vol. 39, No. 432-433, 1984: 813-816.
Leyendo el Diario Oficial julio septiembre
Authors: E.C.A
Published: March 2024

No hay resúmenes disponibles.

ECA Estudios Centroamericanos, Vol. 39, No. 432-433, 1984: 826-832.
Datafication and Regulation: Today’s Controversies in Publicness and Public Opinion Research
Authors: Szabó Gabriella , Splichal Slavko
Published: March 2024

Slavko Splichal was interviewed by Gabriella Szabó on the 14th October 2023.
Urgensi Pendidikan Karakter Berbasis Nilai-Nilai Budaya
Authors: Imtinan Siti Nadhifa , Diani Destina Inggrid , Anisa Puja Sahwa , Dewi Rinanda Achirani , Wahyudin Dede , Caturiasari Jennyta
Published: March 2024

Dampak globalisasi sangat mempengaruhi karakter masyarakat Indonesia terutama pada peserta didik. Salah satu cara untuk menanamkan karakter yang baik melalui pendidikan karakter dalam pembelajaran. Pendidikan karakter diharapkan mampu menguatkan lima nilai karakter utama yang bersumber dari Pancasila yaitu religious, nasionalisme, integritas, kemandirian, dan gotong royong. Dalam pelaksanaan pendidikan karakter dapat ditanamkan nilai-nilai budaya yang ada di lingkungan sekitar. Nilai-nilai budaya dapat menumbuhkan karakter yang baik pada peserta didik. Dengan demikian, paparan berikut menjelaskan urgensi pendidikan karakter sebagai nilai-nilai budaya.
Peningkatan Minat Belajar Siswa Sekolah Dasar Menggunakan Google site dalam Pembelajaran IPA
Authors: Ristiana Evi
Published: March 2024

Penggunaan media pembelajaran yang inovatif menjadi krusial dalam meningkatkan minat belajar peserta didik di era digital saat ini. Penelitian ini bertujuan untuk mengembangkan media pembelajaran interaktif berbasis Google Site sebagai upaya untuk meningkatkan minat belajar peserta didik kelas V SDI Mangasa 1. Metode penelitian yang digunakan adalah penelitian pengembangan dengan model pengembangan ADDIE (Analysis, Design, Development, Implementation, and Evaluation). Penelitian dimulai dengan analisis kebutuhan, identifikasi masalah, dan pengumpulan data awal melalui observasi dan kuesioner. Selanjutnya, desain media pembelajaran interaktif berbasis Google Site disusun berdasarkan temuan analisis kebutuhan dan teori-teori pembelajaran. Proses pengembangan melibatkan ahli media, ahli materi, dan guru sebagai validator. Media pembelajaran diimplementasikan dalam pembelajaran kelas V SDI Mangasa 1. Hasil penelitian menunjukkan bahwa pengembangan media pembelajaran interaktif berbasis Google Site dapat meningkatkan minat belajar peserta didik. Adanya fitur-fitur interaktif seperti video pembelajaran, simulasi, dan kuis online memberikan pengalaman belajar yang lebih menarik dan berkesan. Selain itu, respons positif dari peserta didik dan guru menunjukkan bahwa media pembelajaran ini dapat diintegrasikan dengan baik dalam proses pembelajaran di kelas. Penelitian ini memberikan kontribusi pada pengembangan teknologi pembelajaran di tingkat SDI Mangasa 1 dan memberikan panduan praktis bagi guru dalam mengimplementasikan media pembelajaran interaktif berbasis Google Site. Selain itu, penelitian ini dapat menjadi referensi bagi peneliti dan praktisi pendidikan untuk mengembangkan media pembelajaran yang sesuai dengan kebutuhan peserta didik di era digital.
PENGARUH CUSTOMER EXPERIENCE, HARGA DAN LOKASI TERHADAP REVISIT INTENTION PADA HOTEL GRAND MANDARIN SINGKAWANG
Authors: Sudarso Erik
Published: March 2024

Tujuan   dilakukannya   penelitian   ini   adalah   untuk   mengetahui   apakah   customer experience,  harga  dan  lokasi  memiliki  pengaruh  terhadap  revisit  intention  tamu  pada  hotel. Populasi pada penelitian ini merupakan tamu Hotel Grand Mandarin Singkawang. dan sampel yang telah ditentukan menggunakan rumus slovin berjumlah 90. Penelitian ini menggunakan metode kuantitatif dengan bantuan program SPSS Versi 26 dalam menganalisis data. Melalui penelitian ini diketahui bahwa variabel customer experience secara parsial tidak berpengaruh signifikan terhadap revisit intention dibuktikan melalui uji t dengan nilai sig. 0,208 > 0,05, variabel harga dan lokasi secara parsial berpengaruh signifikan terhadap kepuasan kosumen dengan nilai sig. 0,016 < 0,05 untuk variabel harga dan nilai sig. 0,031 < 0,05 untuk variabel lokasi, variabel customer experience, harga  dan lokasi secara simultan  berpengaruh signifikan terhadap  revisit intention dibuktikan dengan hasil uji F yang memperoleh nilai signifikansi sebesar 0,000 < 0,05. Diketahui pula bahwa koefisien determinasi (adjusted R2) yang diperoleh ketiga variabel independen sebesar 0,335 atau 33,5 persen, sementara sisanya sekitar 66 persen dipengaruhi oleh variabel lain yang tidak diteliti pada penelitian ini.
The Institutionalisation of Security Norms in the Context of Cyber Alignments: The Transatlantic Alignment in the Cyber Domain
Authors: Hosh Mahmoud , Issa Numeir
Published: March 2024

Realists argue that security alliances are established to confront military threats posed by one state to others. In contrast, this study argues that nonmilitary cyberthreats have become a factor in establishing new security arrangements that do not necessarily take the form of an alliance, but rather emerge in the form of alignments. Cyberthreats lie in the political, economic, societal and military repercussions caused by the employment of cyber technologies, not these technologies themselves. Therefore, alignments are not automatic reflections of cyber capabilities, but depend on common perceptions and meanings that identify a certain behaviour as a security threat. The transatlantic alignment in the cyber domain, having been produced by common EU and US cyber norms, represents this type of security alignment. These norms have constructed common meanings and perceptions of cyberthreat patterns, which are primarily embodied in Chinese and Russian policies and behaviour in the cyber domain, involving a set of alternative and competing norms to those adopted by the former two, and through which China and Russia seek to alter the structure of the prevailing international order.
HEMOCROMATOSE EM CORRUPIÃO (ICTERUS JAMACAII)
Authors: Loura Samara de Castro , Ribeiro Amanda Barros , Vasconcelos Liana Ferreira , Oliveira Gerson Brenner de Paula , Conga David Marciel Fernandez , Jaques Adriana Maciel de Castro Cardoso
Published: March 2024

A hemocromatose, ou doença do armazenamento do ferro, é a doença não infecciosa mais comum em aves cuja alimentação baseia-se em alimentos ricos em ferro. O presente estudo tem como objetivo relatar a ocorrência da hemocromatose em um corrupião (Icterus jamacaii), bem como as alterações e achados histopatológicos encontrados. Foi recebido para necropsia no Laboratório de Patologia Animal da Universidade Federal Rural da Amazônia (LABOPAT-UFRA) campus Belém, Pará um animal da espécie Icterus jamacaii (corrupião) com histórico de morte súbita, segundo o tutor. Após exame macroscópico foram colhidos fragmentos da musculatura cardíaca, fígado, SNC e pulmão e fixados em formol a 10% tamponado. Posteriormente, foram clivados e processados para obtenção de lâminas histológicas coradas por hematoxilina-eosina e Perls ou "azul da Prússia. As lâminas foram avaliadas em microscópio óptico nos aumentos de 5x, 20x e 40x. Os achados anatomopatológicos permitiram o diagnóstico de hemocromatose. O diagnóstico da hemocromatose na clínica de silvestres é dificultado por apresentar sinais clínicos inespecíficos, sendo muitas das vezes realizado no exame necroscópico. É uma doença não infecciosa comum em aves, principalmente criadas em cativeiros, reforçando a importância da regulamentação de criatórios de animais silvestres.
ANÁLISE DO COMPORTAMENTO EPIDEMIOLÓGICO DA TUBERCULOSE E SUA RELAÇÃO COM A FAIXA ETÁRIA DO ESTADO DO PARANÁ
Authors: Nascimento Carlos Eduardo Santana do , Griep Rubens
Published: March 2024

A Tuberculose é uma doença infectocontagiosa, associada a diversos fatores que fazem a infecção ser mais prevalente em determinadas faixas etárias, sendo assim um problema de saúde pública, enfrentado pelo Sistema Único de Saúde. O estudo teve como finalidade analisar o comportamento epidemiológico da Tuberculose e sua relação com a faixa etária no estado do Paraná. Metodologia: O estudo é baseado em uma metodologia quantitativa, a partir dos sistemas de informações do Ministério da Saúde entre 2019 e 2022. Foi utilizado um levantamento dos dados sobre o comportamento epidemiológico da Tuberculose e sua relação com a faixa etária. Diante disso, foram analisados o comportamento epidemiológico da Tuberculose, com isso, a maior taxa de infectados está entre os adultos jovens. Tendo uma relação com a pandemia do COVID-19.
A EDUCAÇÃO NA ERA DIGITAL: REFLEXÕES SOBRE A GESTÃO DA INOVAÇÃO NA ESCOLA
Authors: Souza Gescivaldo Brandão de , Martins Saulo
Published: March 2024

Este artigo examina a intrínseca relação entre gestão educacional e inovação na era contemporânea, destacando os desafios e oportunidades emergentes neste cenário dinâmico. Foram discutidas as transformações recentes no campo educacional, enfatizando as demandas crescentes por práticas pedagógicas inovadoras e gestão eficaz. A adaptação a uma paisagem tecnológica em constante evolução, a integração de métodos pedagógicos renovados e o desenvolvimento de estratégias de gestão aprimoradas são explorados em profundidade. O artigo visa fornecer insights críticos e recomendações práticas, com base em uma extensa revisão bibliográfica e análise crítica, para educadores, administradores e políticos interessados em promover uma educação de qualidade, equitativa e inovadora.
Technical Note: Nighttime OH and HO2 chemical equilibria in the mesosphere – lower thermosphere
Authors: Kulikov Mikhail Yu. , Belikovich Mikhail V. , Chubarov Alexey G. , Dementyeva Svetlana O. , Feigin Alexander M.
Published: March 2024

Abstract. At the altitudes of the mesosphere – lower thermosphere, OH and HO2 play a significant role in many physicochemical processes. Thus, monitoring of their spatiotemporal evolution together with other chemically active trace gases is one of the most important problems for this atmosphere region, in which direct measurements are difficult. The paper studies the nighttime OH and HO2 chemical equilibria using the 3D chemical transport modeling within the general approach including the extraction of the main sources and sinks in the equilibrium space-time areas and derivation of analytical criteria for equilibrium validity. The presented analysis shows that there are extended areas, where nighttime HO2 and OH are close to their local equilibrium concentrations determined mainly by the reaction between HOx – Ox components themselves and with H2O2, N, NO, NO2, and CO. In the upper mesosphere – lower thermosphere, the equilibrium expressions can be shortened, including the HOx – Ox chemistry only. These conditions describes the HO2 and OH equilibrium from the top to the some lower borders, the altitude position of which vary in the interval between 72–73 and 85 km and depends essentially on season and latitude. The developed analytical criteria almost everywhere well reproduce the main features of these borders. The obtained results allow to extend the abilities of previously proposed methods for the retrieval of poorly measured components from measurement data and to develop new approaches.
Genetics of Exercise and Diet-Induced Fat Loss Efficiency: A Systematic Review
Authors: Bojarczuk Aleksandra , Egorova Emiliya S. , Dzitkowska-Zabielska Magdalena , Ahmetov Ildus I.
Published: March 2024

Physical exercise and dieting are well-known and effective methods for fat loss and improving cardiovascular health. However, different individuals often react differently to the same exercise regimen or dietary plan. While specific individuals may undergo substantial fat loss, others may observe only limited effects. A wide range of inter-individual variability in weight gain and changes in body composition induced by physical exercises and diets led to an investigation into the genetic factors that may contribute to the individual variations in such responses. This systematic review aimed at identifying the genetic markers associated with fat loss resulting from diet or exercise. A search of the current literature was performed using the PubMed database. Forty-seven articles met the inclusion criteria when assessing genetic markers associated with weight loss efficiency in response to different types of exercises and diets. Overall, we identified 30 genetic markers of fat-loss efficiency in response to different kinds of diets and 24 in response to exercise. Most studies (n = 46) used the candidate gene approach. We should aspire to the customized selection of exercise and dietary plans for each individual to prevent and treat obesity.
Microbiological characteristics of hard cheese with flax seeds
Authors: Kukhtyn Mykola , Arutiunian David , Pokotylo Oleg , Kravcheniuk Khrystyna , Salata Volodymyr , Horiuk Yulia , Karpyk Halyna , Dalievska Diana
Published: March 2024

Highly nutritious dairy products such as hard cheeses are considered a good source of protein, fats, mineral substances, and vitamins and are consumed in significant quantities. At the same time, the disadvantages of cheeses include the presence of a large amount of saturated fatty acids in their composition, which are associated with the development of cardiovascular diseases. Therefore, modifying the composition of fatty acids in hard cheese by increasing the content of unsaturated fatty acids and reducing the amount of saturated fatty acids is extremely important for consumers' health. This research aimed to determine the dynamics of microbiological indicators in the ripening technology of hard rennet cheese with different contents of flax seeds as a source of omega-3 fatty acids. The technology of hard rennet cheese with 3-5% flax seed content was investigated. A 1.3 times higher content of lactic acid microflora was found in samples of hard cheese with 5% flax seeds during the first 10 days of ripening compared to the control sample of cheese. On the 60th day of ripening of cheese with a content of 5% flax seeds, the number of lactic acid bacteria was 9.4 ±0.3×109 CFU/g, and in the control cheese – 7.8 ±0.3×109 CFU/g. During the production and ripening of cheese with different content of flax seeds, no exceedance of normative values was found for the number of Enterobacteriaceae and Staphylococcus aureus bacteria. A method (washing the seeds in a sodium bicarbonate solution and drying at a temperature of 95 ±1 for 20 min) of processing flax seeds before adding them to the cheese mass was proposed, which reduced the number of mesophilic microorganisms by approximately 200 times to 3.9 ±0.1×101 CFU/ g, fungi by 160 times to 0.3 ±0.1×101 CFU/g and aerobic mesophilic bacilli by 78 times to 1.1 ±0.1×101 CFU/g. Therefore, the developed hard rennet cheese with flax seeds can be consumed as an additional source of omega-3 fatty acids and dietary fiber.
ИНТЕРНЕТ-МЕМ ЕРЕКШЕЛІКТЕРІ
Authors:   Ә. Марғұлан атындағы Павлодар педагогикалық университеті, Ерғалиев Қуаныш ,   Нұргүл Cеитова,   Ә. Марғұлан атындағы Павлодар педагогикалық университеті
Published: March 2024

The article analyzes one of the Internet communication tools that has recently become widespread on social networks – the Internet meme. An Internet meme is a unique communicative unit consisting of a two-level structure: linguistic (verbal) and visual (graphic), which is the creation of network users, offering a certain subtext to the online community. The work describes the path of its origin and development, and also studies the ideas developed in scientific works. Taking into account the media nature of Internet memes and distinguishing them from other types of online messages, the factors influencing their rapid spread and popularization are determined. It is shown that this depends on its quality and competitiveness. It is clear that creating such an Internet meme requires considerable effort on the part of the author: the Internet meme must be creative, interesting, and its idea must be fresh and original. In this regard, it was concluded that some memes «live» on the network for a long time, others are forgotten the next day, others are even ignored, and others are suddenly «reborn» thanks to a random user
THE LINGUISTIC PICTURE OF THE UNIVERSE IN THE HERITAGE OF KAZAKH BI-SPEAKERS
Authors:   Karaganda Medical University, Orazova Bahyt , Kelmaganbetova Aiman ,   Karaganda Medical University
Published: March 2024

The article examines the linguistic worldview of the world in the heritage of Bi-speakers. The peculiarities of how the linguistic picture of the world is manifested through different concepts in the lexical layer are differentiated. The opinions of domestic and foreign researchers about the linguistic picture of the universe of the world are reflected in the Bi-speakers' heritage based on various concepts and includes achievements generated by human intelligence and the inherent qualities of humanity. The specificity of the "picture of the world" in linguistic content is revealed through the use of linguistic and cultural elements in the discourse of speakers who are connected to the "national picture of the world". This study examines the cognitive models of the concepts "life" and "death" in the discourse of the linguistic personality of Bi-speakers are considered, their expression in the conceptual field that reflects the linguistic and cognitive aspects of their personality
USING PROBLEM SITUATIONS AS A TOOL FOR BUILDING SOCIAL-LINGUISTIC COMPETENCE IN FOREIGN LANGUAGE LESSONS
Authors:   Ә. Марғұлан атындағы Павлодар педагогикалық университеті, Alipova Assel , Kulakhmetova Mergul
Published: March 2024

Modern science of education approached the moment when there was a need to create pedagogical technologies that provide the most important thing in the educational process - the development of the personality of each student, his activity. The main task in Kazakhstan's schools today is the formation of a harmoniously developed personality. The most important indicator of a well-rounded and harmoniously developed personality is the presence of high-level thinking abilities. Based on this, the purpose of this article is a theoretical and practical consideration of the application of problem-based learning technology for the formation of socio-linguistic competence in foreign language lessons.The scientific and practical significance of the work lies in the fact that the article presents practical aspects of the use of problem-based learning technology, provides practical examples of tasks and exercises using problem-based learning technology in foreign language lessons for 9th grade students
FACTORS INFLUENCING INFANT AND CHILD MORTALITY
Authors: Fatima Faheem
Published: March 2024

1. Faheem Fatima, Student, IIHMR University; 2. Dr. J.P. Singh, Professor, IIHMR University
A STUDY TO ASSESS THE AIIMS OPD TRANSFORMATION FROM 2015-2017
Authors: Kandari Prachi
Published: March 2024

1. Prachi Kandari, Student, IIHMR University; 2. Dr. Anoop Khanna, Professor, IIHMR University
PROGRAM MONITORING AND QUALITY ASSURANCE USING REAL -TIME MONITORING CHECKLIST DURING NATIONAL DEWORMING DAY PROGRAM
Authors: Yadav Akanksha
Published: March 2024

. Akanksha Yadav, Student, IIHMR University; 2. Dr. J.P. Singh, Professor, IIHMR University
ASSESSMENT OF AWARENESS, KNOWLEDGE AND COMPLIANCE OF PRESCRIBED ANTIBIOTIC USE AMONG EMPLOYEES OF DECISION RESOURCE GROUP
Authors: Sharma Aru
Published: March 2024

1. Aru Sharma, Student, IIHMR University; 2. Dr. J.P. Singh, Professor, IIHMR University
A BASELINE AND IMPACT ASSESSMENT OF INTERVENTIONS FOR PREVENTING & SAFEGUARDING THE HOSPITAL SETTING & STAFF FOR THE REGULAR WALK-IN AT BURJEEL HOSPITAL, ABU DHABI, UAE
Authors: Adhikari Joginder Singh
Published: March 2024

1. Joginder Singh Adhikari, Student, IIHMR University; 2. Dr. Anoop Khanna, Professor, IIHMR University
ASSESSMENT OF KNOWLEDGE, ATTITUDE AND PRACTICES REGARDING SEXUAL BEHAVIOUR AND HIV/AIDS AMONG IDU’S ENROLLED IN OST CENTRE, S.N. MEDICAL COLLEGE, AGRA
Authors: Sinha Arpit
Published: March 2024

1. Arpit Sinha, Student, IIHMR University ; 2. Dr. J.P. Singh, Professor, IIHMR University
MACHINE LEARNING-BASED CLINICAL DECISION SUPPORT SYSTEM FOR PREDICTING FETAL HYPOXEMIA DURING NON-STRESS TEST
Authors: Baxi Sajal
Published: March 2024

1. Sajal Baxi, Student, IIHMR University ; 2. Dr. Anoop Khanna, Professor, IIHMR University
A COMPARATIVE FINANCIAL PERFORMANCE ANALYSIS OF SELECT FIVE HEALTH INSURANCE COMPANIES IN USA
Authors: Sen Supriya
Published: March 2024

1. Supriya Sen, Student, IIHMR University ; 2. Dr. Anoop Khanna; Professor, IIHMR University
Predictive Maintenance for IoT-Enabled Smart Cities using Recurrent Neural Networks
Authors: Jabakumar A. Kingsly , Dhablia Anishkumar
Published: March 2024

This work delves into the pressing need for more efficient Predictive Maintenance solutions in the context of IoT-enabled Smart Cities. Existing methodologies often fall short, lacking the precision and accuracy required to keep these rapidly evolving urban environments running smoothly for different use cases. The limitations of current approaches become apparent when considering their inability to cope with the intricacies of IoT data. They struggle to harness the wealth of information generated by countless interconnected devices and systems, resulting in suboptimal performance. This issue is further compounded by their relatively sluggish response times, hindering the timely detection of critical maintenance needs. In response to these challenges, this paper presents an innovative approach that leverages the fusion of Bidirectional Long Short-Term Memory (BiLSTM) with Autoencoders in conjunction with Recurrent Neural Networks (RNNs). This combination of advanced techniques brings forth a powerful predictive maintenance model process. The utilization of BiLSTM and Autoencoders adds a layer of sophistication, allowing for a deeper understanding of the underlying data patterns. BiLSTM's ability to capture contextual information from both past and future data points enriches the model's predictive capabilities. The inclusion of Autoencoders aids in feature extraction and reconstruction, enhancing the model's ability to discern relevant information sets. The advantages of this proposed model are profound. It exhibits 4.9% higher precision, ensuring that maintenance actions are precisely targeted, thus reducing unnecessary interventions. Moreover, the model achieves a remarkable 5.5% increase in accuracy, guaranteeing more reliable predictions. Its 4.5% boost in recall ensures that potential issues are identified promptly. The model's 3.9% increase in speed means that maintenance responses are faster and more effective, minimizing downtemporal instance sets. Lastly, an 8.5% improvement in the Area Under the Curve (AUC) underscores its superior performance compared to existing methodologies. The impacts of this work extend far beyond the realm of predictive maintenance levels. It contributes significantly to the realization of truly smart and efficient cities, where resources are optimized, disruptions are minimized, and the quality of life for citizens is enhanced for different use cases. This research marks a pivotal step towards the seamless integration of IoT technologies into urban environments, with the potential to revolutionize the way we manage and maintain our cities in the future scenarios.
Energy-Efficient Machine Learning for IoT Edge Devices: A Federated Learning Approach
Authors: Rosemaro Elena , Pandit Pragati Vijayakumar
Published: March 2024

In the realm of modern-day IoT (Internet of Things) deployments, the quest for energy-efficient solutions stands paramount for different use cases. As the IoT ecosystem continues to burgeon, there arises an exigency for resource-conscious algorithms that can effectively navigate the intricacies of data routing while minimizing energy consumption levels. This paper illuminates a pivotal advancement in this domain, introducing a novel paradigm for different scenarios. Existing methodologies have long grappled with the challenge of balancing the ever-increasing computational demands of IoT devices with their constrained power resources. Conventional routing strategies often lack the depth required to optimize energy consumption, resulting in inefficiencies that hamper overall system performance. Prior research has primarily focused on rudimentary routing techniques that fall short in addressing the multifaceted demands of contemporary IoT ecosystems. In response to these limitations, this paper propounds a breakthrough model that leverages the power of Deep Dyna Q integrated with a Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN). This fusion of cutting-edge technologies not only enhances energy efficiency but also ushers in a new era of intelligent data routing within IoT deployments. The chosen methodology is deliberate; Deep Dyna Q harnesses the power of reinforcement learning to dynamically adapt routing decisions, while the LSTM-based RNN augments the model's ability to capture contextual dependencies crucial in IoT scenarios. This synergy engenders superior energy optimization, transforming the way data is routed in IoT edge devices & samples. The results are resoundingly positive, with empirical evidence showcasing the model's prowess. Tested across multiple contextual datasets, our approach exhibits a remarkable 10.5% improvement in energy efficiency, a commendable 8.5% boost in speed, a 3.9% uptick in throughput, a 4.5% surge in packet delivery ratio, and a notable 4.9% enhancement in consistency when compared against existing methods. Such substantial improvements underscore the transformative impact of our work, setting new standards for energy-efficient data routing in IoT deployments.
Prediction Analysis of Pancreatic Tumour using Transfer Learning
Authors: Kothawade Sagar , Sherje Nitin
Published: March 2024

Pancreatic cancer is one of the most common types of cancer that affect men. The development of this cancer in the male body impairs a number of health difficulties, both physical and mental. The existence of this illness is associated with a great deal of complexity, mostly linked to image processing and image detecting methods. Different deep learning and transfer learning based approaches and algorithms can be employed to ascertain the same, in addition to image processing techniques. The author of the work typically uses the Kaggle dataset, which has precise information on images of pancreatic cancer that were collected through the data collection process, in order to carry out the proposed research study. 750 photos of cancer and 150 healthy, tumor-undetermined images make up the dataset. Using the notions of a histogram, the normalization technique defines the image in its entirety. In addition, the author suggests using YOLO as a transfer learning-based method and CNN's working theory as a deep learning algorithm. However, the transfer learning-based technique implements the same using a pre-trained model, and in order to get higher accuracy and precision values, further hyper-parameter tuning is also carried out.
Enhancing Security in Cyber-Physical Critical Infrastructures A Focus on Detecting Integrity Attacks through Ensemble Modeling
Authors: Ghazaly Nouby M. , Bhandari Mahesh A.
Published: March 2024

Improving the safety of cyber-physical key assets is very important to keep their processes safe from attacks on their stability. In this study, we suggest a new way to find these kinds of threats using ensemble modeling methods. Integrity attacks are a big problem for these systems because they can change or control important data, which can have very bad results. Because these threats are so complex, traditional security measures often fail to spot them. This shows how important it is to have more advanced monitoring systems. The suggested method uses ensemble modeling, which blends several machine learning techniques to make identification more accurate. Ensemble modeling has shown promise in a number of defense contexts, providing resilience against different types of attacks. Ensemble approaches are good at finding integrity attacks that single models might miss because they use a variety of models, each with its own pros and cons. The study also talks about how different datasets can be used to teach ensemble models so that they can find a lot of different attack patterns. The study also looks at how to improve the ensemble's ability to find small changes from normal behavior by adding anomaly detection methods like Isolation Forest and Support Vector Machines (SVM). In general, this paper gives a complete plan for using ensemble models to make cyber-physical key systems safer. The suggested method aims to make these systems more resistant to integrity threats by using a variety of datasets and monitoring techniques. This will make sure that they work reliably and securely.
Implementation of Long Short-Term Memory (LSTM) Networks for Stock Price Prediction
Authors: Deshpande Vivek
Published: March 2024

In this research, we explore the potential of Long Short-Term Memory (LSTM) networks for predicting stock prices. Due to the complexities of the financial markets and the inherent volatility of stock prices, accurate forecasting is now crucial for investors and financial specialists. It has been shown that LSTM, a type of recurrent neural network (RNN), can recognise temporal correlations and patterns in serial data. Training and assessing LSTM models in this work involves analysing stock price data, relevant financial measures, and market sentiment indicators. We looked into other ideas, hyper parameters, and preprocessing methods to see if we might boost the networks' performance. To further improve the model's generalizability, we utilise series normalisation and removal to reduce overfitting. The outcomes demonstrate that the LSTM network outperforms more standard series temporal prediction methods in capturing and anticipating shifts in action pricing. We also conduct extensive back testing and evaluation, using measures like mean squared error (MSE) and mean absolute error (MAE), to assess the model's accuracy and resilience. The results of this study shed light on how deep learning techniques, in particular LSTM networks, can be applied to the prediction of stock prices, potentially assisting traders, investors, and other financial decision-makers in navigating complex and volatile financial markets.
SINH CHẤT ỨC CHẾ Ở BỆNH NHÂN THIẾU YẾU TỐ VII BÁO CÁO TRƯỜNG HỢP BỆNH
Authors: Nam Nguyễn Hoàng , Hương Nguyễn Thị Mai , Hà Nguyễn Thị , Duyên Nguyễn Thị
Published: March 2024

Thiếu yếu tố VII bẩm sinh là bệnh hiếm gặp. Phát sinh chất ức chế ở bệnh nhân thiếu yếu tố VII lại càng rất hiếm, là một thách thức nặng nề của điều trị thay thế yếu tố đông máu, vì có chảy máu đe dọa tính mạng và làm điều trị thay thế kém hiệu quả. Chúng tôi xin giới thiệu ca bệnh đã gặp tại Bệnh viện Nhi Trung ương. Bệnh nhân là một trẻ gái 11 tháng tuổi, được chẩn đoán mắc bệnh thiếu yếu tố VII bẩm sinh từ lúc 2 tháng tuổi, bị chảy máu da, niêm mạc, nội sọ tái diễn, đã phát sinh chất ức chế yếu tố VII, điều trị bằng VIIa tái tổ hợp liều tăng gấp đôi, có kết quả tốt. Nhân dịp này, chúng tôi xin tổng quan một số vấn đề về bệnh thiếu yếu tố VII bẩm sinh có phát sinh chất ức chế và rút ra kết luận là phải lưu ý phát hiện chất ức chế VII khi điều trị thay thế cho bệnh nhân thiếu yếu tố VII bẩm sinh, có chảy máu tái diễn nặng, điều trị kém hiệu quả, và sửdụng yếu tố VIIa tái tổ hợp tăng liều có thể có hiệu quả ngừng chảy máu, cứu sống bệnh nhân.
TÌNH TRẠNG DINH DƯỠNG Ở TRẺ TỰ KỶ VÀ CÁC YẾU TỐ LIÊN QUAN TẠI MỘT SỐ TRUNG TÂM CHĂM SÓC TRẺ TỰ KỶ TẠI VIỆT NAM NĂM 2021
Authors: Thảo Nguyễn Phương , Hương Nguyễn Minh , Nga Phạm Tuấn Hằng , Nhi Trần Thị Yến , Hải Phan Thanh , Hưng Lê Xuân , Hưng Nguyễn Trọng
Published: March 2024

Trẻ tự kỷ thường được quan sát thấy có thói quen ăn uống đặc biệt do các đặc điểm vốn có của căn bệnh này, điều này có thể làm giảm sức khỏe dinh dưỡng của trẻ. Mục tiêu của nghiên cứu này là mô tả tình trạng dinh dưỡng của trẻ tự kỷ tại các trung tâm chăm sóc trẻ tự kỷ ở Việt Nam vào năm 2021 và phân tích một số yếu tố liên quan đến tình trạng dinh dưỡng của trẻ tự kỷ. Nghiên cứu cắt ngang này được thực hiện tại 18 trung tâm nuôi dạy trẻ tự kỷ ở Việt Nam từ tháng 5 năm 2021 đến tháng 12 năm 2021. Nghiên cứu được thực hiện trên trẻ em được chẩn đoán tử kỷ và những người chăm sóc chúng. Tỷ lệ suy dinh dưỡng thể nhẹ cân ở trẻ được chọn không cao (8,6% - nhóm tuổi dưới 5 tuổi) nhưng thừa cân béo phì ở ba nhóm tuổi là đáng được quan tâm (35,4% - nhóm tuổi 5-10 tuổi). Các yếu tố liên quan như giới tính của trẻ, tuổi củangười chăm sóc, hình thức sinh và được chăm sóc trẻ tại các trung tâm ảnh hưởng đến tình trạng dinh dưỡng của trẻ tự kỷ (p <0,05).