bluuebunny/crossref_metadata_2025 huggingface dataset:
Разработка регламента процессов СМК с использованием системно-объектного подхода
Authors: Бузов Павел Андреевич , Жихарев Александр Геннадиевич , Маторин Сергей Игоревич
Published: April 2024

В работе рассматриваются недостатки существующих способов регламентации бизнес-процессов (БП), обусловленные моделированием процессов и проектированием регламентов средствами системно-структурного подхода. Демонстрируются возможности разработки регламента БП средствами системно-объектного подхода. Предлагается оригинальный шаблон регламента, основанный на предложенных ранее представлении системы в виде перекресток связей (входных и выходных потоков), т. е. узла, процесса преобразования входного потока в выходной, т. е. функции, и реализующего данный процесс объекта, а также на образе функционального узла и описываются его особенности. С использованием предложенного шаблона регламента БП разработаны примеры регламентов процессов управления системой менеджмента качества (СМК), основанные на структурной системно-объектной модели СМК в среде UFO-toolkit.
Функциональное моделирование мониторинга состояния системы хранения криопродуктов на примере сжиженного природного газа
Authors: Солдатов Евгений Сергеевич
Published: April 2024

Рассмотрены вопросы повышения безопасности и снижения потерь при хранении и транспортировке криопродуктов в системах хранения различного типа. Представлена функциональная модель системы дистанционного мониторинга состояния систем хранения криопродуктов. Задачей системы мониторинга является обеспечение удаленного мониторинга состояния систем хранения криопродуктов, в том числе, с возможностью на основе результатов компьютерного моделирования прогнозировать время бездренажного хранения криопродукта. В рассмотренной схеме функционально разделены задачи по накоплению массива рабочих параметров хранения, определяющихся, как правило, при помощи компьютерного моделирования, и вычисление текущих характеристик конкретного процесса в режиме реального времени. Рассмотрена процедура вычисления нестационарных параметров бездренажного хранения на примере систем хранения сжиженного природного газа.
Интеллектуальная система автоматического подбора соусов для различных блюд на основе онтологии и логического вывода
Authors: Луценко Владислав Денисович , Матюшечкин Дмитрий Сергеевич
Published: April 2024

Статья описывает разработку интеллектуальной системы автоматического подбора соусов для разных блюд, используя онтологию и логический вывод. Система помогает определить наиболее подходящий соус, исходя из типа блюда и кулинарной культуры. Особое внимание уделено использованию технологий семантического веба и логического программирования для точности рекомендаций. Приводятся примеры блюд и соусов, а также правила для их подбора. Техническая реализация системы включает использование формата RDF для структурированного представления данных, а также интеграцию системы в повседневную жизнь, используя Ruby и Java для клиентской и серверной частей соответственно. Подчеркивается возможность адаптации системы для различных кулинарных нужд и перспективы её развития. Статья также акцентирует внимание на важности интеграции такой системы в мобильные и веб-приложения, делая её доступной для широкой аудитории. Обсуждается потенциал использования системы в ресторанном бизнесе для улучшения качества обслуживания и повышения удовлетворенности клиентов. Предложения по дальнейшему усовершенствованию включают интеграцию с системами искусственного интеллекта для более глубокого анализа предпочтений пользователей и адаптации рекомендаций. Таким образом, статья охватывает не только технические аспекты разработки, но и практическое применение системы в реальных условиях.
Модернизация подходов и показателей оценки устойчивого развития территорий в условиях цифровизации
Authors: Савенкова Ирина Викторовна , Добродомова Татьяна Николаевна , Лыщикова Юлия Владимировна
Published: April 2024

Современные условия всех сфер деятельности территорий находятся на новом этапе развития, перспективы которых связаны с их цифровизацией. Одним из основных инструментов для устойчивого развития территорий и даже выхода их из кризисной ситуации является применение цифровых технологий. Целью данного исследования является изучение существующих подходов и показателей оценки устойчивого развития территорий в условиях цифровизации. В основу исследования положен системный подход, который обусловил применение общенаучных методов (диалектической логики, индукции, дедукции, анализа и синтеза), а также экономико-математического, сравнительного, динамического методов исследования, корреляционно-регрессионного анализа. В ходе исследования авторами проанализировано устойчивое развитие Центрально-Черноземного макрорегиона на основе применения стандартизованных значений показателей по трем сферам: социальной, экономической и экологической; проанализирована структура затрат на внедрение и использование цифровых технологий в регионах и выявлено их влияние на один из главных показателей экономической сферы – размер валового регионального продукта. Внедрение цифровизации в развитие территорий предполагает и ее оценку. Так для оценки цифровизации применяется уровень цифровой зрелости, который охватывает пять секторов экономики: общественный транспорт, образование, здравоохранение, государственное управление и развитие городской среды. Результаты исследования позволили оценить уровень устойчивого развития регионов Центрально-Черноземного макрорегиона и влияние на него внедрения цифровых технологий, изучить цифровую зрелость регионов и России в целом.

 

БлагодарностиИсследование выполнено за счет гранта Российского научного фонда № 23-28-01636, https://rscf.ru/project/23-28-01636/
Лексический тренажер по иностранному языку для студентов технических специальностей МГТУ им. Н.Э. Баумана
Authors: Бутенко Юлия Ивановна , Солошенко Кирилл Александрович
Published: April 2024

В статье представлен метод формирования лексического тренажера на основе лингводидактического ресурса «English in Digital Age» для оказания содействия студентам технических специальностей МГТУ им. Н.Э. Баумана в освоении лексики при подготовке к практическим занятиям по английскому языку и английскому языку в профессиональной сфере в период обучения специальности. Проанализированы факторы, обуславливающие актуальность создания лексического тренажера по освоению специальной лексики. При реализации лексического тренажера для студентов технических специальностей использованы методы лексикографического описания, осуществлено моделирование структуры словарной статьи, получен программный лексикографический продукт на языке программирования Python. Предложен метод обработки текстов учебных пособий для извлечения основной лексики каждого модуля, который предусматривает анализ композиционной структуры всего текста учебного пособия, а также возможность извлечения многокомпонентных терминов. Показана структура словарной статьи лексического тренажера, в которой в компактном виде отражены основные грамматические особенности слова, транскрипция и его переводные эквиваленты. Продемонстрированы интерфейс лексического тренажера и основные виды заданий, предназначенные для освоения лексического материала как по всем, так и по отдельным модулям дисциплины «Иностранный язык». Проанализированы возможности использования разных лингвистических ресурсов в аспекте освоения лексики с привязкой к конкретному учебному материалу. Электронный учебный словарь предназначен для студентов технических специальностей МГТУ им. Н.Э. Баумана, изучающих дисциплину «Иностранный язык».
Применение автоматизированных методов и алгоритмов для идентификации идеологем новостных текстов
Authors: Секерин Алексей Викторович , Кудинов Виталий Алексеевич
Published: April 2024

На современном этапе развития информационного противоборства особое значение приобретает проблема автоматизации процесса категоризации новостных сообщений по центрам влияния, в том числе выявление сообщений, содержащих деструктивные ценностные установки. Несмотря на большое количество публикаций, посвященных описанию методов и технологиям современных информационных войн, лингвистическим аспектам функционирования идеологем, в настоящий момент отсутствуют комплексный подход к автоматизации процесса идентификации идеологем русскоязычных новостных текстов. Целью данного исследования является определение возможности применения автоматизированных методов идентификации идеологем и построение теоретической модели интеллектуальной системы. В результате исследования были проанализированы статистические, нейросетевые и граф-ориентированные подходы, оценена их применимость для идентификации идеологем русскоязычного дискурса посредством искусственных нейронных сетей, а также разработана модель интеллектуальной системы.
Перспективы инновационного развития Белгородской области с учетом принципов «умной специализации»
Authors: Даньков Сергей Олегович
Published: April 2024

Целью является обоснование направлений инновационного развития региона согласно концепции «умной специализации», соответствия ее принципам и рекомендациям. В данной статье решалась задача оценки влияния инновационных технологий на социально-экономическое пространство региона с целью изучения существующих видов деятельности и их специфики, развития новых инновационных отраслей экономики региона, обусловленных состоянием и развитием науки, наличием кадров, современной инфраструктуры и различных ресурсов, учитывая общегосударственные приоритеты научно-технологического развития. Отсутствие научно обоснованной методологической и методической базы для проведения оценок потенциальных возможностей регионального рынка и проектов по его коммерциализации выявляет ряд проблем в использовании потенциальных возможностей региона в развитии новых инновационных видов деятельности. Научной новизной исследования является формирование отраслевых приоритетов, основываясь на уникальных конкурентных преимуществах региона, растущих новых видов деятельности, применении лучших практик, опыта, компетенций и технологий. Результаты исследования позволили, при использовании данных Росстата, идентифицировать текущие отраслевые специализации семи регионов Центрального федерального округа (ЦФО), произвести предварительный экономический анализ, сделать обзор и дать оценку состояния уровня развития основных и приоритетных отраслей регионов, рассмотреть подход к выбору направлений инновационного развития Белгородской области с учетом принципов «умной специализации». Практическая значимость исследования состоит в обосновании альтернативных решений и вероятностных последствий развития экономики Белгородской области до 2030 года, включающих перспективные и конкретные виды отраслевой специализации, предлагаемые на основе принципов «умной специализации».
Развитие внешнеторгового потенциала России как фактор обеспечения экономической безопасности государства
Authors: Селюков Максим Викторович , Шалыгина Наталья Петровна
Published: April 2024

Для любого современного государства вопросы, связанные с обеспечением своей безопасности, возможностью реализовывать свои национальные цели и преследовать собственные интересы, всегда являлись наиболее актуальными и приоритетными. Во многом сейчас независимость и самостоятельность государства ассоциируется, прежде всего, с развитием его экономики, возможностями национальной экономической модели противостоять негативным факторам и кризисам. В последние годы Россия столкнулась с небывалыми экономическими вызовами, спровоцированными антироссийской санкционной политикой недружественных западных стран, замедлением темпов развития мировой экономики, а также негативных демографических трендов и т. п. Однако, несмотря на это, смогла противостоять им и показать существенные темпы роста в сравнении с другими странами. Напомним, что прогнозируемый рост в конце 2023 года должен составить +3,5 %. Связан данный факт со многими аспектами, однако одним из важнейших является достаточно быстрая переориентация внешней торговли на Восток, эффективный поиск и развитие новых внешнеэкономических связей, поиск и нахождение новых целевых рынков сбыта. Во многом вынужденная работа по нивелированию разрыва с европейскими торговыми партнерами и рациональному поиску в других частях мира создает существенные фундаментальные условия по повышению эффективности процесса обеспечения экономической безопасности государства.
Isolated left ventricular non-compaction cardiomyopathy: case report and brief review on diagnostic imaging methods
Authors: Borges José Victor da Nóbrega , Leila Samira Abdel Correia , Machado Manuella Guedes da Nóbrega
Published: April 2024

Left ventricular non-compaction cardiomyopathy (LVNC) is a rare congenital heart disease with an estimated incidence of 0.014-0.045% in a general population. It occurs due to a morphogenetic abnormality during embryogenesis that inhibits myocardial compaction and determines prominent trabeculae with deep intertrabecular spaces and thickening of the adjacent myocardium in two distinct layers. Diagnosis is generally established via transthoracic echocardiogram (TTE) with further confirmation with cardiac magnetic resonance (CMR). A 57-year-old male patient previously diagnosed with systemic arterial hypertension and chronic obstructive pulmonary disease reported chest pain and dyspnea upon exertion, headache, and dizziness. During outpatient investigation, the patient was submitted to a stress electrocardiogram that was positive for ischemia and led to a cineangiocoronariography with no signs of coronary artery obstruction. At the echocardiography lab, several trabeculations were detected in the apical region of the left ventricle. A diagnosis of LVNC was established and the results were confirmed via CMR. Management was initiated with the goal of symptom relief. LVNC is a relatively unknown pathology that is frequently underdiagnosed at earlier stages. As presented, we highlight the importance of multimodality imaging, especially TTE and CMR, in the diagnosis of this congenital heart condition.
Therapeutic hypothermia after cardiac arrest: a literature review
Authors: Borges José Victor da Nóbrega , Leila Samira Abdel Correia
Published: April 2024

Cardiac arrest is an event that provides an elevated mortality rate. When not fatal, it can lead to neurological and other systems impairment, which may affect the prognosis of the patient. To avoid cerebral damage related to the event, some methods are indicated including therapeutic hypothermia. However, it remains unknown yet how effective is this procedure to mitigate such risk. The purpose of this literature review consisted in the systematic review of current data in order to collect what is most relevant about hypothermia as a therapeutic modality in patients after cardiac arrest. Online databases like SCIELO, MEDLINE, LILACS and PUBMED were used for the development of this review. The choice of hypothermia as a therapeutic measure in the moment post-cardiac arrest has appeared as an effective choice, especially after the analysis of biological and biochemical markers and imaging exams, which are important neurologic outcomes predictors. The achievement of a lower temperature at a specific time has showed itself as an important aspect in the neurologic outcome improvement. Therefore, it contributes to the consolidation of the hypothermia as an effective approach post-cardiac arrest. Therefore, it is possible to determine that its use has been proven as beneficial.
Comparative profile of transcripts from anthers of hybrid plants and parental lines of sunflower
Authors: Port Angela
Published: April 2024

Most heterosis research over the years has focused on increasing vigour and productivity, and less on the multitude of biochemical and molecular phenotypes as an expression of hybrid superiority under favourable or stressful conditions. Plant productivity depends on the microsporogenesis and microgametogenesis processes highly sensitive to unfavorable environmental conditions and other stress factors that often induce the androsterility. The paper presents the results of the expression polymorphism analysis (by RT-qPCR) of candidate genes with functions in DNA replication, recombination, repair, and mitochondrial morpho-functional organization processes in anthers of homozygous and heterozygous sunflower plants with phenotypic differences in male gametophyte (fertile/sterile). A particular interest in this research represented the identification of gene expression patterns in hybrid (F1) plants in norm, for possible associations of transcriptional response with heterozygous effect, and under conditions of induced stress (gibberellin treatment) as a factor in irreversible phenotype change of anthers from fertile to sterile. Thus, the high proportion of different non-additive and transgressive expression patterns in hybrid plants was established, revealing genetic divergence and expression polymorphisms in parental lines. The sterile anther phenotype of hybrid plants obtained by gibberellin treatment of the inflorescence at the buttoning phase is causally related to changes in allelic gene expression patterns at different phases of microsporogenesis.
Total Phenolic content and Potential of Black Betel Leaf (Piper betle L.var Nigra) Extract as an Antioxidant and Anti-Gout
Authors: Irawan Candra , Rochaeni Henny , Suhartini Suhartini , Pradipta Adya Risky , Sukiman Maman , Imalia Dwi Putri , Rosalina Rosalina
Published: April 2024

Research to find antioxidants and anti-gout has been done using black betel leaf. The sample was extracted at room temperature for 30 minutes using the Ultrasound-Assisted Extraction (UAE) method, and a yield of 8.47% was obtained. Phytochemical screening was carried out on the ethanol extract of black betel leaves and showed the presence of secondary metabolite compounds consisting of alkaloids, phenolics, saponins, tannins, and steroid glycosides, with a total phenolic content of 758,534±0.003mg GAE per gram of sample. Antioxidant activity analysis was carried out using the 1,1-diphenyl-2-picrylhydrazyl (DPPH) and Ferric Reducing Antioxidant Power (FRAP) methods, which showed IC50 and EC50 values of 115.562±0.14mg/L and 119.273±0.385 mg/L, respectively. The antioxidant activity of black betel leaf extract is in the medium category (100–150 mg/L). The anti-gout activity test was carried out using allopurinol as a control, which showed the ability of black betel leaf extract to reduce uric acid up to 14.48±0.01%. The ability of black betel leaf extract as an anti-uric acid is five times better than allopurinol, which is commonly used as a gout drug. The research results obtained opened up the opportunity to find a natural medicine for gout.
The Mediating Role of Risk Tolerance in Realtionship Between Heusrtic and Prospect Theory and Investment Performance
Authors: Dr. S. Subramanian B. Harini,
Published: April 2024

The current study aims at investigating the factors affecting investment Performance. Moreover, the mediating effect of risk tolerance was also tested. The study utilized a quantitative research design for that the data was collected using a structured questionnaire. The questionnaire was sent to 200 individuals out of those 189 complete questionnaires were received. The study framework had constructs namely heuristics, Prospect theory, were independent variables while investment performance making was dependent variable and risk tolerance was the mediating variable. All the latent construct were measured using multi-items based on 5-point Likert scales from 5 strongly disagree to 1 strongly disagree. This study set out to find the relationship behavioural factors and investment performance of individual investors with the mediating effects of risk tolerance. The Structural Equation Model has revealed that there is a significant and positive relationship between behavioural factors and investment performance of individual investors and this relationship is partially mediated by risk tolerance.
The Effectiveness of Several Public Schemes Sponsored by The Government in Promoting Financial Inclusion Among Underprivileged Women in Rajasthan State
Authors: Dr. Tanushree Sharma Ramawatar Saini,
Published: April 2024

This study examines a few government-sponsored public programmes that the Indian government has put into place with the goal of enhancing financial inclusion and empowerment among the state's impoverished women. These policies include PMJDY, Mudra Yojna, MNREGA, Stand up India KCC, and others. The sources of the literature were Google Scholar, Merald, Science Direct, and Scopus. Reviewing secondary data is also done from SLBC Rajasthan and RBI. According to our analysis, financial inclusion initiatives in Rajasthan have facilitated the opening of bank accounts and loan applications for women. But in order for women to become empowered, they must use these funds to create their own revenue. These programmes support women's socioeconomic advancement in the state as well.
Fusion of AI Techniques: A Hybrid Approach for Precise Plant Leaf Disease Classification
Authors: Rashmi Ashtagi
Published: April 2024

Classification of plant leaf diseases is an important step in protecting the world's food supply and agricultural yields. There has been encouraging progress in improving the efficiency and accuracy of plant leaf disease diagnosis via the combination of deep learning methods with artificial intelligence (AI) in recent years. This research introduces a new hybrid strategy, CNN+SVM and CNN+RF, that uses deep learning techniques like Convolutional Neural Networks (CNN) in conjunction with more traditional machine learning algorithms like Random Forest (RF) and Support Vector Machine (SVM). Moreover, two hybrid variants, CNN + RF and CNN + SVM, are proposed to exploit the strengths of both paradigms synergistically. To further improve classification accuracy, the study employs Particle Swarm Optimization (PSO) as a feature selection technique. PSO optimizes the feature subset for each classification model, facilitating the extraction of the most informative features, which leads to better discrimination between healthy and diseased plants. The dataset used for experimentation consists of a comprehensive collection of plant leaf images representing various diseases across multiple plant species. Experimental results demonstrate the efficacy of the proposed hybrid approach compared to individual classification methods. The hybrid models achieve higher accuracy rates and improved generalization performance, showcasing the synergistic benefits of combining AI and deep learning techniques. Furthermore, the feature selection process through PSO contributes significantly to enhancing the classification outcomes, providing insights into the discriminative power of selected features. This research contributes to the advancement of plant leaf disease classification methodologies by offering an innovative hybrid approach that leverages the complementary strengths of AI, deep learning, and feature selection techniques. The study's findings underscore the potential for improving plant leaf disease management strategies, ultimately leading to enhanced crop productivity and sustainable agriculture. The proposed hybrid framework can serve as a blueprint for similar classification tasks in other domains, demonstrating the broader impact of synergizing different AI techniques for improved accuracy and performance. CNN+RF gives 95% accuracy, 93% precision, 96% recall and 94% F1 score, whereas CNN+SVM gives 93% accuracy, 91% precision, 94% recall and 92% F1 score.
Examine Heuristic Data Lake Management Using AWS: A Big Data Handling Approach
Authors: Rajesh D. Bharti Wasudeo Purushottam Rahane,Pramod D. Patil,
Published: April 2024

In this era of technology, the most valued asset can be ‘Data’. With the increasing number of data, the value of it keeps increasing.  Data storage and data manipulate for to achieve some particular goals or business requirements increasing in number and storing it has become a complex and tedious task. With the use of some advanced technologies like hadoop, it simplified the data storing process, but due to rapid development and excessive use of AI and ML, tons of data is collected. The quintessence is to ascertain an extra cost effective storage alternative. This paper provides with an effective solution to store data over the cloud with numerous benefits over traditional data storage methods by developing a data lake using AWS a Cost Effective Data Lake Management algorithm (CEDLMA). Furthermore, the functionalities of data lake include managing and storing sorted as well as unsorted data, gathering various analytics from the data lake as per business requirements.  Proposed work is evaluated with AWS’s IAM and S3 services.
Hypersonic Vehicle Analyses: The Needs and Challenges of Multidisciplinary Simulations
Authors: Boyd Iain
Published: April 2024

The development of hypersonic vehicles is of broad international interest today for applications in national security, deep space exploration, and the emerging space economy. While the first hypersonic vehicle flew more than 70 years ago, their effective design still faces major technical challenges. The overarching cause of this difficulty stems from the fact that many key individual physical processes relevant to hypersonic flight are tightly coupled. The gas dynamics of the air flow around the vehicle creates temperatures of thousands of degrees leading to internal energy excitation and chemical reactions. The hot, oxidized gas in contact with the surfaces of the vehicle leads to material response phenomena such as conduction, radiation, and ablation. The thermally soaked material alters the structural response to the aerodynamic loading. Changes in the vehicle outer mold line due to ablation and structural deformation change the basic aerodynamic performance and thus affect the flight dynamics. With advanced numerical algorithms and modern computer architectures, it is becoming possible to include many of these complex processes in hypersonic vehicle analyses. This talk will review the current status for computational modeling of each separate discipline as well as efforts to couple these processes together. Key aspects for coupling include consideration of timescales associated with different processes and multi-fidelity simulation approaches.
Paralisi periferica monolaterale del VII nervo cranico da riattivazione di virus varicella zoster: la sindrome di Ramsay Hunt
Authors: Pasquali Elisa , Addeo Agnese Maria , Masi Alessandra , Romeo Chiara , Marchetti Federico
Published: April 2024

Ramsay Hunt syndrome is the second leading cause of peripheral facial palsy in children, and it is due to reactivation of Varicella Zoster Virus. A characteristic feature of this syndrome is the triad of ipsilateral facial palsy, otalgia and vesicular rash in the auricle or auditory canal. The diagnosis is clinical, and currently there is no international protocol on its paediatric management and treatment. The paper reports the case of a 10-year-old girl, who presented with symptoms suggestive of peripheral facial palsy and, consequently, was treated with steroid therapy at first. After the appearance of vesicles in the auricular site and having ruled out the other causes of peripheral paralysis of the VII cranial nerve, antiviral therapy was undertaken and, given the poor clinical improvement, was later enhanced corticosteroid therapy. One month after onset, the child recovered com-pletely.
Transforming orange waste with yeasts: bioprocess prospects
Authors: Minussi Gabriel do Amaral , Dos Santos Angela Alves , Scapini Thamarys , Bonatto Charline , Fenner Eduardo Dias , Dresch Aline Perin , dos Santos Bruna Caline Sampaio , Bender João Paulo , Alves Júnior Sérgio L.
Published: April 2024

It is mandatory to make the circular economy a reality, developing ways of transforming waste into valuable products. In this context, investigating the biotechnological potential of different residues is most welcome. This review analyzes how orange waste can be used as biorefinery feedstock to produce different bioproducts using yeasts as the major biocatalysts. In addition to the current orange market, its pectin-rich biomass is described in detail, aiming to elucidate how yeast cells can convert it into ethanol, xylitol, polyphenols, and organic acids (some of them, volatile compounds). Genetic, metabolic, and evolutionary engineering are also analyzed as biotechnological tools to improve the existing processes. Finally, this review also addresses the potential employment of fruit-dwelling yeasts in biorefining pectin-rich biomasses such as orange wastes. All the data presented herein lead to the conclusion that these residues could already be used for noble purposes.
Primacy of the real and interdisciplinarity: contradictions in theoretical production
Authors: Faria José Henrique
Published: April 2024

The purpose of this text is to assert the thesis that scientific work, manifested in the production of analyses, theories, and concepts, irrespective of their disciplinary, multidisciplinary, or interdisciplinary origins, only unfolds when rooted in the primacy of the real. The complexity of scientific objects cannot be fully addressed exclusively within disciplinary confines. Discussions centered solely on theoretical, conceptual, or explanatory models, while assisting in transcending disciplinary limitations, do not propel the advancement of scientific knowledge. Contradictions in theoretical-conceptual and analytical production, explicit within disciplinary fields, arise not only from the limitations of disciplines but from how reality is conceptualized as concrete thought. Regardless of the discipline, theory and concept divorced from reality amount to mere speculation.
Pain management In Total Knee Arthroplasty: Which helps in better post-operative outcomes?
Authors: Tarun Bali
Published: April 2024

Background: Individuals exhibit variations in pain perception and pain threshold, and these differences exist between the right and left limbs, resulting in biases related to inter-cerebral pain variability and inter-patient pain variability. Currently, there is limited available data comparing adductor canal block (ACB) with femoral nerve block (FNB) in individuals who have undergone bilateral total knee arthroplasty (TKA). Methods: We conducted a prospective, non-randomized, controlled study involving patients scheduled for bilateral total knee arthroplasty (TKA) under central neuraxial anesthesia. Following surgery, patients received intermittent 12-hourly boluses of 15 mL ropivacaine 0.5% through two distinct peripheral nerve blocks (adductor canal block - ACB and femoral nerve block - FNB) in either of the lower limbs. The primary objective was to evaluate the postoperative Visual Analog Scale (VAS) score, while the secondary outcomes included the assessment of quadriceps muscle strength and the degree of flexion at the knee joint. Results: Out of the 70 patients evaluated for eligibility, 63 were enrolled, and 60 were included in the final analysis. Visual Analog Scale (VAS) scores after both blocks during periods of rest at 30 minutes, 6 hours, 12 hours, and 48 hours post-operatively did not exhibit any significant differences. However, VAS scores during rest at 24 hours and during exercise at 24 hours and 48 hours demonstrated a notable disparity. Furthermore, there was a significant difference in favour of adductor canal block (ACB) over femoral nerve block (FNB) regarding quadriceps muscle strength and the degree of knee flexion at 24 hours and 48 hours post-operatively. Conclusions: Adductor canal block (ACB) delivers comparable pain relief to femoral nerve block (FNB) both at rest and during passive exercise for up to 48 hours after surgery. ACB notably maintains the motor strength of quadriceps muscles when contrasted with FNB, and this preservation comes without introducing any additional complications.
The impact of healthcare information technology on reducing medication errors: A review of recent advances
Authors: Christiana Adeyemi  , Bisola Oluwafadekemi Adegoke  , Tolulope Odugbose
Published: April 2024

This review explores the impact of HIT on reducing medication errors, encompassing recent advances in electronic health records (EHRs), clinical decision support systems (CDSS), bar-coding technology, telemedicine, and mobile health applications. By synthesizing evidence from scholarly literature, case studies, and real-world implementations, this paper delineates the multifaceted benefits, challenges, and future prospects of integrating HIT into medication management processes. Understanding the evolving role of HIT in error reduction is pivotal for healthcare stakeholders to optimize patient outcomes and enhance the quality and safety of medication administration. In the dynamic realm of modern healthcare, medication errors loom as a formidable challenge, imperiling patient safety, compromising care quality, and inflating healthcare expenditures. However, amidst this backdrop of concern, healthcare information technology (HIT) emerges as a beacon of hope, offering potent remedies to counteract these errors. This review embarks on a journey to unravel the profound impact of HIT on ameliorating medication errors, delving into recent strides across various fronts including electronic health records (EHRs), clinical decision support systems (CDSS), bar-coding technology, telemedicine, and mobile health applications. Drawing upon a rich tapestry of scholarly literature, real-world case studies, and practical implementations, this paper meticulously examines the multifaceted landscape of HIT's influence on medication management. Through a comprehensive synthesis of evidence, we uncover the diverse benefits, confront the inherent challenges, and illuminate the promising vistas that emerge from the integration of HIT into medication-related processes. At the core of this exploration lies an urgent call to comprehend the evolving role of HIT in error reduction, recognizing its pivotal significance for healthcare stakeholders. By assimilating insights from disparate sources, we endeavor to empower stakeholders with the knowledge necessary to optimize patient outcomes, fortify the fabric of care delivery, and foster a culture of safety and excellence in medication administration. In essence, this review serves as a guiding compass amidst the labyrinth of healthcare challenges, illuminating pathways towards safer, more efficient, and more effective medication management practices. As we navigate this terrain, let us remain steadfast in our commitment to harness the transformative power of HIT, thereby ushering in a new era of enhanced patient safety, elevated care quality, and sustainable healthcare systems. In the contemporary healthcare landscape, medication errors represent a significant concern, posing risks to patient safety, quality of care, and overall healthcare costs. However, advancements in healthcare information technology (HIT) offer promising solutions to mitigate these errors.
Digital platforms and reproductive health information: Navigating legal and ethical boundaries
Authors: Bisola Oluwafadekemi Adegoke  , Tolulope Odugbose  , Christiana Adeyemi
Published: April 2024

In today's digital age, the dissemination of reproductive health information has shifted significantly to online platforms, offering unparalleled accessibility while presenting a myriad of legal and ethical challenges. This paper investigates the complex interplay between digital platforms and reproductive health information, navigating the intricate landscape of laws and regulations such as HIPAA and GDPR, and examining the challenges in enforcing these regulations across diverse platforms and jurisdictions. Ethical considerations loom large, necessitating a delicate balance between accuracy, cultural sensitivity, and inclusivity to meet the diverse needs and perspectives of users while safeguarding their privacy and confidentiality. Through case studies and examples, real-world challenges faced by digital platforms, including misinformation, censorship dilemmas, and data privacy breaches, are explored, highlighting the importance of clear policies, robust data protection measures, and stakeholder collaboration. Looking ahead, the paper identifies future trends and recommendations for enhancing the responsible dissemination of reproductive health information online, advocating for comprehensive sexual and reproductive health education and ongoing research to address emerging challenges effectively. In conclusion, concerted efforts from stakeholders are called for to prioritize the responsible provision of reproductive health information online, ensuring that legal, ethical, and public health considerations are balanced effectively in the digital realm.
Data-driven decision making: Shaping the future of business efficiency and customer engagement
Authors: Oseremi Onesi-Ozigagun  , Yinka James Ololade  , Nsisong Louis Eyo-Udo  , Damilola Oluwaseun Ogundipe
Published: April 2024

Data-driven decision-making (DDDM) is a critical approach that organizations are adopting to enhance their operational efficiency and customer engagement. This abstract explores the significance of DDDM in shaping the future of businesses. Data-driven decision-making (DDDM) is revolutionizing the way businesses operate and engage with customers. By leveraging data analytics, organizations can extract valuable insights to inform strategic decisions, improve operational efficiency, and enhance customer experiences. This abstract examines the role of DDDM in shaping the future of business efficiency and customer engagement. DDDM enables organizations to optimize their processes and resources through data analysis. By identifying patterns and trends in data, businesses can streamline operations, reduce costs, and improve productivity. For example, predictive analytics can help forecast demand, allowing businesses to adjust their inventory levels accordingly and avoid stockouts or overstock situations. Additionally, data-driven insights can inform resource allocation decisions, ensuring that resources are allocated efficiently to maximize returns. DDDM also plays a crucial role in enhancing customer engagement. By analyzing customer data, businesses can gain a deeper understanding of customer behavior, preferences, and needs. This enables businesses to tailor their products and services to better meet customer expectations, leading to higher customer satisfaction and loyalty. For example, personalized marketing campaigns based on customer data can significantly improve engagement and conversion rates. As the volume and complexity of data continue to grow, DDDM will become even more essential for businesses. Advancements in technology, such as artificial intelligence and machine learning, will further enhance the capabilities of DDDM, allowing businesses to derive even more value from their data. However, organizations must also address challenges such as data privacy and security to ensure that DDDM is implemented ethically and responsibly. In conclusion, DDDM is reshaping the future of business efficiency and customer engagement. By embracing DDDM, organizations can unlock the full potential of their data and gain a competitive edge in today's data-driven world.
Agile product management as a catalyst for technological innovation
Authors: Oseremi Onesi-Ozigagun  , Yinka James Ololade  , Nsisong Louis Eyo-Udo  , Damilola Oluwaseun Ogundipe
Published: April 2024

Agile Product Management (APM) has emerged as a critical driver of technological innovation, enabling organizations to rapidly adapt to changing market dynamics and customer needs. This abstract explores the key principles of APM and its role in fostering innovation in today's fast-paced business environment. At its core, APM is a collaborative, iterative approach to product development that emphasizes flexibility, customer feedback, and continuous improvement. By breaking down complex projects into manageable tasks and delivering value incrementally, APM enables teams to respond quickly to market feedback and evolving requirements. One of the key features of APM is its emphasis on customer collaboration. By involving customers early and often in the development process, organizations can ensure that their products meet customer needs and expectations. This customer-centric approach not only drives innovation but also helps organizations stay ahead of the competition. Another important aspect of APM is its focus on cross-functional teams. By bringing together individuals with diverse skills and backgrounds, APM fosters a culture of creativity and innovation. Cross-functional teams are able to quickly experiment with new ideas, iterate on designs, and deliver high-quality products to market faster. In addition to fostering innovation, APM also helps organizations manage risk more effectively. By breaking projects down into smaller, more manageable pieces, organizations can identify and address potential issues early in the development process, reducing the likelihood of costly delays or failures. Overall, APM has emerged as a powerful catalyst for technological innovation. By embracing the principles of flexibility, customer collaboration, and continuous improvement, organizations can not only drive innovation but also stay ahead of the competition in today's rapidly evolving business landscape.
Preconcentration of Cu2+, Cr3+, Co2+, and Ni2+ by Solid-Phase Extraction Using a Recently Developed Mixed-Mode Sorbent
Authors: Aral Hayriye
Published: April 2024

The enrichment and simultaneous analysis of Cu2+, Cr3+, Co2+, and Ni2+ by solid-phase extraction method were performed using a stationary phase containing amide functional groups, an aromatic benzene ring, and aliphatic groups in a silica-based structure that we had synthesized for HPLC separations in our previous studies. Solid-phase extraction was performed using a column system and the results obtained were analysed by ICP-OES. Effects of pH, amount of sorbent, amount of eluting solvent, sample volume, flow rates of the eluent and the sample, and interfering ions were evaluated in recovery processes for the metals in the sample solutions. Linear range, detection limit, and relative standard deviation (% RSD) values were calculated for each metal. The linear range (ng/mL) was between 0.01 and 0.25 for all ions, while the limit of detection (ng/mL) was found to be 0.64, 1.7, 0.44, and 0.51 and % RSD was 2.8, 2.4, 2.6, and 2.9 for Cu2+, Cr3+, Co2+, ve Ni2+, respectively.
Gegenbauer Parameter Effect on Gegenbauer Wavelet Solutions of Lane-Emden Equations
Authors: Özdek Demet
Published: April 2024

In this study, we aim to solve Lane-Emden equations numerically by the Gegenbauer wavelet method. This method is mainly based on orthonormal Gegenbauer polynomials and takes advantage of orthonormality which reduces the computational cost. As a further advantage, Gegenbauer polynomials are associated with a real parameter allowing them to be defined as Legendre polynomials or Chebyshev polynomials for some values. Although this provides an opportunity to be able to analyze the problem under consideration from a wide point of view, the effect of the Gegenbauer parameter on the solution of Lane-Emden equations has not been studied so far. This study demonstrates the robustness of the Gegenbauer wavelet method on three problems of Lane-Emden equations considering different values of this parameter.
Horoz Karası (Vitis vinifera L.) Çeşidi Kuru Üzüm ve Çekirdeğinin Bazı Kalite Özellikleri ve Antibakteriyel Aktivitesi
Authors: Koyuncu Gülcan , Uçan Türkmen Filiz
Published: April 2024

Kuru üzüm ve üzüm çekirdeği temel besin öğelerini ve sağlığı koruyucu biyoaktif bileşenleri içeren önemli ürünlerdir. Bu çalışmada, Kilis için önemli bir tarım ürünü olan kurutulmuş Horoz Karası üzüm ve çekirdeğinin fiziksel ve kimyasal özellikleri, tanen miktarları ve ayrıca su ile metanol ekstraktlarının antibakteriyel aktivitelerinin belirlenmesi amaçlanmıştır. Tane eni-boyu, 100 tane ağırlığı, suda çözünür kurumadde miktarı, rehidrasyon oranı, titrasyon asitliği, nem ve karbonhidrat üzümlerde daha yüksek tespit edilirken; renk değerleri (L*, a*, b*, Hueᵒ, C*), su aktivitesi (aw), yağ, kül ve protein içeriği ise üzüm çekirdeğinde daha fazla bulunmuştur. Üzüm %7.89 diyet lif içerirken, bu oran çekirdekte oldukça yüksek (%76.14) bulunmuştur. Çekirdekte bulunan tanen miktarı da (0.14 g/L) üzüme (0.05 g/L) kıyasla daha yüksek belirlenmiştir. Enerji miktarı kuru üzümde 328.50 kcal/100g iken çekirdekte 207.50 kcal/100g olarak tespit edilmiştir. Üzüm ve çekirdeğinin ekstrakları Escherichia coli, Staphylococcus aureus ve Pseudomonas aeruginosa mikroorganizmalarına karşı antibakteriyel etki göstermemiştir.
Las lecturas tipográficas de Alí Chumacero: un estudio a partir de su biblioteca personal
Authors: Garone Gravier Marina
Published: April 2024

El artículo tiene como propósitos rastrear y hacer evidente la relación entre la faceta editorial de Alí Chumacero y las lecturas tipográficas que se encuentran en su biblioteca personal, resguardada en la Biblioteca de México. Chumacero fue poeta y editor y tuvo una activa participación en la vida cultural y editorial mexicana. Partiendo de la perspectiva del estudio de las bibliotecas, el coleccionismo y la marginalia, se procura un acercamiento a una faceta que había sido omitida del perfil intelectual de Chumacero. En la primera parte del texto se exponen brevemente algunos datos biográficos con especial énfasis en el mundo cultural que habitó. En segundo lugar, se consigna su participación en algunas de las empresas editoriales y publicaciones con las que estuvo vinculado, especialmente el Fondo de Cultura Económica. Finalmente, se abordan las lecturas tipográficas a partir del corpus revisado. La investigación permite conocer que Chumacero leyó con cuidado obras para su quehacer cotidiano como editor y revela su entusiasmo e interés permanentes por los asuntos editoriales.
Critique’s Role in the Development of Design Literacy in Beginning Design Education
Authors: Yorgancıoğlu Derya , Tunali Sevinç
Published: April 2024

This study examines the development of design literacy for first year architecture students in their beginning design education phase. It focuses on the contribution of design critique in the formation of repertoires for design thinking and doing for first year students. The inquiry is based on the findings of a qualitative case study involving 26 first year design students and six design studio tutors in a Bachelor of Architecture degree programme. Data was collected through focus groups, in-depth interviews, and studio observations, and was analysed using content analysis technique. Research findings indicate that design critiques initiate a transformation process in first year design students in which they begin to grasp how designers think and act. The collaborative effort of the tutor and students, sharing their ideas and re-constructing design knowledge, is realized through the development of new communication methods in design critique sessions. We suggest that when the development of interactive and critical communication skills is embedded in the formation of a community of learners during their first year in a design studio setting, 'learning to criticize' becomes a component of design literacy.