bluuebunny/crossref_metadata_2025 huggingface dataset:
Maker-Breaker domination number for Cartesian products of path graphs $P_2$ and $P_n$
Authors: Forcan Jovana , Qi Jiayue
Published: April 2024

We study the Maker-Breaker domination game played by Dominator and Staller on
the vertex set of a given graph. Dominator wins when the vertices he has
claimed form a dominating set of the graph. Staller wins if she makes it
impossible for Dominator to win, or equivalently, she is able to claim some
vertex and all its neighbours. Maker-Breaker domination number $\gamma_{MB}(G)$
($\gamma '_{MB}(G)$) of a graph $G$ is defined to be the minimum number of
moves for Dominator to guarantee his winning when he plays first (second). We
investigate these two invariants for the Cartesian product of any two graphs.
We obtain upper bounds for the Maker-Breaker domination number of the Cartesian
product of two arbitrary graphs. Also, we give upper bounds for the
Maker-Breaker domination number of the Cartesian product of the complete graph
with two vertices and an arbitrary graph. Most importantly, we prove that
$\gamma'_{MB}(P_2\square P_n)=n$ for $n\geq 1$, $\gamma_{MB}(P_2\square P_n)$
equals $n$, $n-1$, $n-2$, for $1\leq n\leq 4$, $5\leq n\leq 12$, and $n\geq
13$, respectively. For the disjoint union of $P_2\square P_n$s, we show that
$\gamma_{MB}'(\dot\cup_{i=1}^k(P_2\square P_n)_i)=k\cdot n$ ($n\geq 1$), and
that $\gamma_{MB}(\dot\cup_{i=1}^k(P_2\square P_n)_i)$ equals $k\cdot n$,
$k\cdot n-1$, $k\cdot n-2$ for $1\leq n\leq 4$, $5\leq n\leq 12$, and $n\geq
13$, respectively.
O USO DA INTELIGÊNCIA ARTIFICIAL EM CURSOS À DISTÂNCIA
Authors: Silva Juliana Caroline Arcanjo Batista da , Silva Kalliana Catarina Arcanjo Batista da , Silva Júnior Moisés de Farias
Published: April 2024

Na conjuntura educacional em que ferramentas digitais e tecnológicas promovem a interação social, a utilização da Inteligência Artificial vem se expandindo cada vez mais para a promoção de experiências em cursos à distância, tornando-os mais eficientes e personalizados. Desse modo, o objetivo deste trabalho é perceber como as ferramentas tecnológicas e digitais têm revolucionado as bases estruturais da educação e da sociedade, fomentando a potencialização da Inteligência Artificial nos ambientes virtuais de aprendizagem, utilizando-se de recursos como o Chatbots, Processamento de Linguagem, Técnicas de Simulações, Plataformas Digitais de Aprendizagem, Tutores Inteligentes, entre outros. A metodologia empregada consistirá em revisão bibliográfica, estudo de caso breve e análise do desenvolvimento das discussões. Ao final, será analisado como a Inteligência Artificial pode ser utilizada simultaneamente como recurso pedagógico e tecnológico em diversas situações, oferecendo vantagens significativas, especialmente aos cursos de modalidade à distância.
INSERÇÃO DA INTELIGÊNCIA ARTIFICIAL NA EDUCAÇÃO
Authors: Araujo Camila Sabino de
Published: April 2024

As tecnologias, incluindo a Inteligência Artificial (IA), tornaram-se parte integrante de nossa sociedade, desempenhando papéis fundamentais em diversas áreas, como pessoal, profissional e financeira, com o auxílio de smartphones e internet. E na Educação, essa realidade não poderia ser diferente. Atualmente, já existem empresas que destinam seus trabalhos e pesquisas a esse setor, especialmente nos cursos à distância. Diante desse cenário, o objetivo deste trabalho é realizar uma revisão da literatura, acompanhada com uma breve análise sobre a inserção da Inteligência Artificial na educação. Como justificativa, destacaremos a Base Nacional Comum Curricular (BNCC), a qual nos instiga a compreender e utilizar as tecnologias digitais nos ambientes escolares, visando incentivar o protagonismo e a autonomia dos indivíduos em suas vidas pessoais e coletivas. Além disso, apresentaremos vantagens, desvantagens e desafios a serem enfrentados pelos docentes e/ou estudantes para que a IA possa ser inserida na educação e para que gere uma aprendizagem significativa. Para finalizar, analisaremos um caso descrito na literatura, que ilustra uma aplicação prática bem-sucedida da IA em uma instituição de ensino.
Os eleitores evangélicos são mais conservadores e autoritários?
Authors: Avila Casalecchi Gabriel , Bueno Coelho Victor Alberto
Published: April 2024

Nas duas últimas eleições presidenciais, em 2018 e 2022, o eleitorado evangélico votou, em sua maioria, para o candidato, Jair Bolsonaro. Muitos autores atribuíram esse padrão à congruência de valores conservadores e autoritários de Bolsonaro e das lideranças evangélicas com as quais ele se aliou. Entretanto, ainda são escassas as pesquisas que analisaram o fenômeno no nível da opinião pública. Os evangélicos são, de fato, mais conservadores e autoritários? A presente pesquisa responde essa pergunta com os dados mais recentes do Estudo Eleitoral Brasileiro de 2022. Os resultados apontam que os evangélicos são mais conservadores que os católicos, outras religiões e ateus, porém não necessariamente mais autoritários.
Trastornos músculo esqueléticos asociados a riesgos ergonómicos en docentes de la Unidad Educativa Lauro Damerval de Loja
Authors: Flores España Ximena Del Cisne , Andrade Campoverde Diego Paul
Published: April 2024

Esta investigación tuvo como finalidad establecer la incidencia de trastornos músculo esqueléticos junto con riesgos ergonómicos en un en un grupo de docentes a tiempo completo en la Unidad Educativa Lauro Damerval Ayora de Loja. La metodología utilizada en la investigación fue de tipo observacional, descriptiva, de corte transversal La población de estudio estuvo compuesta por 50 docentes, de los cuales se obtuvo una muestra de 46 mediante criterios de inclusión y exclusión, a quienes se les aplicó una encuesta utilizando dos instrumentos: el Método REBA y el cuestionario Nórdico de kuorinka. Los resultados obtenidos evidencian un nivel medio y alto de TME con un 60,8% y 23,90% respectivamente; mientras que el riesgo ergonómico evidencia un nivel muy alto y alto con un 28% y 17% respectivamente. Se concluye que existe una alta prevalencia de TME en el personal docente de la Unidad Educativa Lauro Damerval Ayora, y una asociación estadística alta entre variables, por lo cual es recomendable la implantación de programas de intervención con la finalidad de prevenir la aparición de este tipo de trastornos.
Capítulo VIII. La Ley 8/2017, de 28 de diciembre, de garantía de los derechos, la igualdad de trato y no discriminación de las personas LGTBI y sus familiares en Andalucía
Authors: Rodríguez Portugués Manuel
Published: April 2024

SUMARIO: 1. DESCRIPCIÓN GENERAL DE LA LEY 8/2017 1.1. La finalidad de la Ley y su colisión con el principio de neutralidad ideológica de los poderes públicos 1.2. Estructura de la Ley 1.3. Principales deberes y prohibiciones. Referencia a los modos de actividad administrativa establecidos o considerados por el legislador en esta materia 1.4. Aparato sancionador 2. LA “AUTOPERCEPCIÓN DEL GÉNERO” Y LA DIFICULTAD DE AFIRMAR UN DERECHO SOBRE UN SENTIMIENTO 2.1. La “autopercepción de género” en el deporte. Las enseñanzas del caso Caster Semenya. 2.2. La “autopercepción de género” y la utilización de instalaciones separadas por sexos. Su impacto en determinados derechos fundamentales, en especial, a la intimidad 3. “INFRACCIONES ADMINISTRATIVAS DE ODIO”, RESERVA DE JURISDICCIÓN Y LIBERTADES IDEOLÓGICA Y DE EXPRESIÓN 3.1. Naturaleza y alcance de las libertades ideológica y de expresión 3.2. Vulneración de la reserva especial de jurisdicción implícita en materia de libertades ideológica y de expresión 3.3. La tipificación de la mera discrepancia filosófica como infracción muy grave en el artículo 62.d) 3.4. Libertad ideológica y conductas de suyo no comunicativas tipificadas como infracción. Las enseñanzas del caso Masterpiece Cakeshop v. Colorado Civil Rights Commission 4. PLANIFICACIÓN EDUCATIVA Y DERECHO FUNDAMENTAL A LA EDUCACIÓN MORAL POR LOS PADRES 4.1. Derechos fundamentales educativos e interdicción del “adoctrinamiento” 4.2. Internalización de la filosofía de género y derecho fundamental a la intimidad personal 4.3. Prohibición de conciertos y libertad de ideario 5. PROHIBICIÓN DE ORIENTACIÓN PERSONAL EN MATERIA DE GÉNERO Y DERECHOS FUNDAMENTALES A LA INTIMIDAD Y AL TRABAJO U OFICIO 5.1. De California a la Comunidad de Madrid 5.2. Sus problemas con el derecho al trabajo y a la libre elección de profesión u oficio (art. 35 CE) 5.3. La vulneración del derecho fundamental a la intimidad sobre la propia vida sexual (art. 18 CE)
Novos letramentos e a Cartografia Escolar no contexto das tecnologias digitais
Authors: Seccatto Ana Glaucia , Nunes Flaviana Gasparotti
Published: April 2024

Este artigo tem como objetivo apresentar reflexões sobre os novos letramentos cartográficos que surgem como uma demanda na conjuntura contemporânea das tecnologias digitais que envolvem a Cartografia escolar, em busca de despertar novas formas de pensar, construir conhecimento e cartografar no ensino de Geografia. A Cartografia tem passado ao longo dos anos por muitas mudanças, assumindo novas nuances no contexto digital e tornando-se uma linguagem fluida, interativa e colaborativa. Considerando as aprendizagens cartográficas e geográficas, essas transformações e reconfigurações fizeram emergir mudanças e trouxeram novos desafios postos aos processos de ensino, tencionando novos pensares e formas de compreender suas informações. De natureza qualitativa, o presente estudo fundamenta-se metodologicamente na pesquisa bibliográfica, com base em levantamentos e revisões bibliográficas sobre o tema e utilizando-se das contribuições de vários teóricos que enriquecem os diálogos do texto. As discussões apresentadas fazem parte de uma pesquisa de doutorado intitulada “Cartografia e tecnologias digitais: experimentações em diferentes contextos escolares”, defendida no Programa Pós-Graduação da Universidade Federal da Grande Dourados. No texto, consideramos a importância dos novos letramentos nos percursos educativos para a construção de aprendizagens diante do mundo digital. Assim, visamos com o presente trabalho somar, potencializar e fortalecer as discussões sobre os novos letramentos em pauta no ensino de Geografia e da Cartografia escolar, fomentando e tencionando novos pensares e pesquisas sobre a temática.
Palavras-chave
Ensino de Geografia, Alfabetização cartográfica, Letramentos cartográficos.
The Influence of Motivation and Work Ability on Employee Performance
Authors: Purwaningtyas Indah Fitriany , Perizade Badia , Zunaida Zunaida , Widiyanti Marlina
Published: April 2024

This research aims to determine the influence of motivation and work ability on employee performance at PT Jasa Marga Toll Road Operator. The population in this research was 150 employees who worked at PT Jasa Marga Toll Road Operator, while the sample in this research used cluster random sampling. So the units selected as samples were not individuals, but organized groups of individuals, where the samples were all 120 operational employees. The results of multiple linear regression analysis show that motivation and work ability have a positive and significant effect on employee performance. For motivation variable, hoped that there will be an opportunity to provide promotions to employees by simplifying the conditions and stages in the consideration and selection process provided. Meanwhile, for the work ability variable, hoped that the Company can become a forum that facilitates employees to improve their abilities. Apart from that, companies also need to provide opportunities for employees to provide input and responses in resolving the problems and challenges.
The Effect of Training and Work Motivation on Employee Performance at Bank Indonesia Representative Office of South Sumatra Province
Authors: Reza Reza , Widiyanti Marlina , Thamrin Kemas Muhammad Husni , Hanafi Agustina
Published: April 2024

This research was conducted with the aim of determining the effect of training and work motivation on employee performance at the Bank Indonesia Representative Office, South Sumatra Province. The population and sample in this research are 50 Non-Officer employees and Assistant Directors of the Bank Indonesia Representative Office for South Sumatra Province in 2023. The results of multiple linear regression analysis show that training and work motivation have a positive and significant effect on employee performance. Training, it is hoped that it is necessary to select the type of training given to employees according to the employee's needs. Choosing a training provider is also important, where the chosen organizer must also be suitable and knowledgeable in this field and have experience and a good image. Work motivation, the role of superiors which is very necessary in looking at relationships between fellow employees. Where if within a division there are colleagues who do not have a harmonious relationship, then the role of superiors is to create a more neutral and professional atmosphere in carrying out work.
Role of Yoni Dhadhyakara Lepa in First Degree Uterine Prolapse
Authors: Pratibha Rana  , Seema Shukla
Published: April 2024

According to WHO estimation the global occurrence of uterine prolapse is increasing and is assumed to be two to twenty percent. In Ayureda Doshas involved in Prasramsini Yonivyapa is Pitta Pradhan Vata Dosha. So, for the Samprapti Vighatana of Prasramsini Yonivyapada treatment should emphasize mainly on Pitta and Vata Shamana. Acharaya Sushruta has described Prasramsini Yonivyapada in Pittaja Yonivyapada which can be correlated with and first and second degree uterine prolapse. This condition is usually encountered in perimenopausal or postmenopausal period although young age group with distress during labor is not an exemption. A 42 years old female presented with first degree uterine prolapse was treated with Yoni Dhadhyakara Lepa (Madanphala, Madhuyasti, Karpura) followed by Yoniprakshalana with Triphala Kwatha. This treatment was continued for seven days twice daily for three consecutive months with positive outcome and good symptomatic relief in the patient.
Ayurvedic Approach for Management of Secondary Infertility due to Artavakshaya (PCOD)
Authors: Nikita Bharghava  , Bihani Sanjyal  , K. Bharathi  , Poonam Choudhary
Published: April 2024

The World Health Organization defines infertility as a disorder of the male or female reproductive system characterized by the inability to conceive after 12 months or more of consistent unprotected sexual activity. Secondary infertile if they have successfully became pregnant at least once in the past. 30-40% of infertility is caused by ovulatory disruption. PCOS is characterized by oligo/anovulation, excess androgen-related symptoms, and numerous ovarian cysts. Infertility correlates with Vandhyatha in Ayurveda. Acharya Harita described that failure to achieve a Praja known as Vandhayatwa. Praja is achieve by Garbha and to achieve Garbha purity of many component (Ritu, Kshetra, Ambu, Beeja) is necessary. Regarding this case, Ritu is disturbed in form of Artavkshaya, managed through principles like use of Agneya dravya, Agni Deepana, Vata Shamana and Piita Vardhna. Case presentation: A female patient, 25 years old, visited Prasuti Tantra and Stri- Roga OPD of National Institute of Ayurveda, Jaipur, on 28 august 2023 with secondary infertility associated with delayed and scanty menses for 3 years. Methodology: Detailed history with all clinical, physical examination and laboratory investigations were carried out which were normal. Ultrasonography reveals bilateral PCOD. So the treatment was planned accordingly. Patient was treated with Shatapushpa churna in 2 consecutive cycles. Result: Patient got her menstruation after one month of drug intake with improvement in menstrual pattern. She continued to take drug during the second month and missed her period consequently after that.UPT was done and was found positive
A Case Report on Alcohol Withdrawal Syndrome
Authors: Divin V  , Suneeshmon M S
Published: April 2024

Heavy drinkers who abruptly cut back on their alcohol intake or give it up entirely risk experiencing alcohol withdrawal. The warning signs and symptoms include agitation, anxiety, irritability, and mild to moderate tremors. Seizure, hallucinations, delirium tremens are the most severe withdrawal symptoms. These symptoms arise from abnormalities in brain chemistry brought on by alcohol, which leads to an excess of neuronal activity when the alcohol is stopped. Ayurveda is a holistic approach which not only takes body into consideration but also mental status. Madatyaya is a wide term explained in our classics, while explaining Madya, Acharaya told that it has properties opposite to that of Ojus, so these substances causing depletion to our body resources can be correlated to Madatyaya. So it’s a case report on alcohol withdrawal symptoms and its effective management using Ayurvedic treatment modalities.
Trividha Anushastra Karma in Netraroga
Authors: Harshitha. M  , Chaitra Shree. S  , Prakruthi. G
Published: April 2024

Shalakya tantra, also known as Uttamanga Chikitsa, focuses on the vital sense organs situated above the Jatru-clavicle, addressing diseases of the head (Shiras), ear (Karna), eye (Netra), throat (Kanta), and nose (Nasa). The eye is considered as very important part of the body which performs the work of vision and due to its sensitive nature, it needs great care. Acharya Sushrutha outlines four treatment methods like Bheshaja, Shastra, Kshara and Agni karma as important treatment modalities. Anushastra karma are the para-surgical procedures, entail performing surgical interventions without the use of Shastras - sharp surgical instruments. Acharya Sushrutha has mentioned 14 types of Anushastras among which Jalaukavacharana, Agnikarma and Ksharakarma are given more importance and described in detail. Due to the pradhanyatwa of these three procedures in treatment they are also known as Trividha Anushastra karma. Along with Vata, Pitta and Kapha doshas, Rakta also plays a major role in causing different Netra rogas. So, it is advisable to go for safest Raktamokshana to do Dushita rakta dosha nirharana. In this article, an attempt is made to elaborate the complete knowledge of Anushastras used in different Netra rogas mentioned by our Acharyas. These procedures are simple, less time consuming, non-invasive, safe and cost-effective.
IMPACT OF THE ‘KENT’ MANGO (Mangifera indica L.) JAM FORMULATION WITH DIFFERENT GELLING AGENTS ON THE PHYSICOCHEMICAL AND SENSORY PROPERTIES
Authors: Quintana-Obregón Eber Addí , Muy-Rangel María Dolores , Vargas-Ortiz Manuel Alejandro , Heredia Jose Basilio , Pérez-Rubio Verónica , López-Romero Rosa María , San-Martín-Hernández Cesar
Published: April 2024

Pectin content decreases as mango (Mangifera indica L.) maturity progresses. When making jam, a hydrocolloid will be required, which can impact the physicochemical and sensory properties of the processed product. The objective of this work was to evaluate the effect of two mango maturity stages (60 and 100 %) and four different gelling agents (pectin, xanthan gum, guar gum, and corn starch) on the physicochemical and sensory properties of jams, using a commercial jam as a control. Eight treatments were obtained, and a completely randomized experimental design was applied. The experimental unit was a glass jar (250 g) of jam with three replicates for physicochemical and sensory analysis. Analysis of variance and comparisons of means with Tukey’s test were carried out with SAS® software. The physicochemical properties of the jam were affected according to its formulation. Those with 100 % ripe mango plus pectin or corn starch showed maximum pH values of 3.7 and 3.8, respectively, but lower acidity (0.6 %). The jams with 60 % ripe mango and pectin or corn starch had higher levels of dietary fiber (1.42 and 1.47 %) and protein (0.97 and 0.79 %), with no differences from the control. In terms of texture, the formulation with 60 % ripe mango plus pectin was statistically superior to the other jams. The jam with 60 % ripe mango and corn starch had the highest sensory color and was comparable to the control, but in hue, it was instrumentally different from the other formulations. Changes in fruit maturity from 60 to 100 % and the type of gelling agent modified the physicochemical properties and sensory color of ‘Kent’ mango jam, confirming the effect of formulation on the attributes evaluated.
Implementation Of UI/UX Concepts And Techniques In Web Layout Design With Figma
Authors: Santoso Miftah Faroq
Published: April 2024

Technological trends are always dynamic and experiencing rapid development, especially the internet with many sites emerging, both formal and entertainment (intertain). This requires a web developer, especially in terms of appearance, to always innovate in order to provide a good user experience, intuitive design, and easy to use by all groups. Of course, in designing an attractive interface page, you have to know the needs of the user, in order to optimize existing features, for that UI/UX concepts and techniques need to be applied in designing the interface. In this research trial using the Figma tool as the main tool starting from designing, wireframing to the prototyping process. The test results found that by applying UI/UX concepts and techniques to the interface design the design is more consistent, solid, harmonization, color alignment, font type and size according to the design system that has been determined.
A Comprehensive Review on Ethical Considerations in Cloud Computing-Privacy, Data Sovereignty and Compliance
Authors:   Subject Matter Expert (SME), Barclays, USA, Mahida Ankur
Published: April 2024

The way by which computing power and data storage are accessed has become dramatically changed through cloud computing, which is internet-based services made available on a need basis. Among the benefits come the new ethical issues that are related to privacy, data jurisdiction, and compliance obligations. The data of a customer becomes vulnerable when it is stored and processed off-site on a remote server, as impeding risks can arise from unauthorized access and secondary use of data without the customers’ allowance. The jurisdictional authority over the data positioned globally and housed in numerous data centers is a big question to answer from the sovereignty perspective since a conflict of laws arises when they have to deal with privacy and government surveillance. In addition, how regulatory compliance is shared between cloud provider and user is complex and may end up confusing the two parties as different standards of security and privacy are most important. The following review draws out the significant problems, specific solutions, effects, and the scope of these ethical matters in cloud computing. It tackles privacy protections, location-based data sovereignty remedies, and the allocating burdens of compliance between the providing end and the customer clearly. Cloud computing can be adopted ethically by applying a proactive approach to the emerging ethical issues related to remote storage, access, and geography which it may hold.
Integrating AI and Distributed Computing for Advanced Dental Healthcare Management
Authors:   Senior Principal Software Engineer, CA, USA, Shende Abhishek
Published: April 2024

This research paper delves into the innovative integration of artificial intelligence (AI) and distributed computing within dental healthcare management, marking a pivotal advancement in the field. We explore the synergistic potential of AI algorithms and distributed systems in revolutionizing dental diagnostics, treatment planning, and patient data management. The paper elaborates on the utilization of machine learning models for predictive analytics in oral health, and the implementation of distributed architectures to ensure robust, scalable, and secure data handling. Emphasis is placed on AI-driven customization of patient care, enhancing accuracy and efficiency in dental practices. Challenges such as ethical considerations, data privacy, and the need for seamless human-AI collaboration are critically examined. This comprehensive study not only showcases cutting-edge technological advancements but also paves the way for transformative changes in dental healthcare delivery, underlining the vital role of AI and distributed computing in shaping the future of dentistry
Evolving Role of AI in Enhancing Patient Care within Digital Health Platforms
Authors:   Independent Researcher, Celina, Texas, USA, Rangavittal Prasanna Begamudra
Published: April 2024

In an era where digital transformation is paramount, the healthcare sector is witnessing a paradigm shift with the integration of Artificial Intelligence (AI) into digital health platforms, as underscored by Ageron, et al. and Kumar, et al. This transformation, driven by the need to enhance patient care, improve healthcare delivery efficiency, and harness predictive analytics for proactive health management, mirrors the significant potential AI holds in revolutionizing healthcare as discussed by Abu-Rumman. AI’s role in healthcare transcends traditional boundaries, offering personalized treatment plans, optimizing healthcare operations, and facilitating precision medicine, echoing the innovation leadership roles highlighted by Kumar, et al. This article delves into the evolving landscape of AI in healthcare, examining its impact on patient care, operational challenges, and future prospects within digital health platforms through a lens informed by contemporary research.
Data Analytics and Predictive Modeling for Toll Violation Prevention
Authors:   USA, Lembhe Pankaj
Published: April 2024

This study aims to utilize data analytics and predictive modeling techniques to prevent toll violations. By analyzing various sources of data such as travel datasets, unstructured data, and financial data, the study will develop algorithms that can accurately predict toll violations and identify potential fraud patterns. The research, which utilized unstructured data, points to the utility of data mining which would greatly benefit traffic research, particularly African-based studies, that suffer from data inadequacy. The study will also explore the use of machine learning algorithms to decipher the large textual data contained in transportation research papers. Additionally, the study will investigate the accuracy and performance of different predictive algorithms, such as linear regression, analysis of variance, and artificial neural networks, in predicting toll violations based on various factors such as category, purpose, total distance, and speed of travel. Furthermore, the study will examine the forensic aspects of big data in order to enhance the capabilities of forensic investigators in case of a network attack. In today’s rapidly changing world, the significance of accurate toll violation prevention using data analytics and predictive modeling techniques cannot be overstated. In today’s rapidly changing world, the significance of accurate toll violation prevention using data analytics and predictive modeling techniques cannot be overstated. By leveraging data analytics and predictive modeling, this study aims to develop an effective toll violation prevention system
Pharmacy and Artificial Intelligence (AI): A Review of Recent Advancements
Authors:   USA, B Shah Bhavinkumar
Published: April 2024

The field of artificial intelligence (AI) arose as a solution to issues with data and numbers. This technical breakthrough has benefited engineering, architecture, education, accountancy, business, health, and countless others. Artificial intelligence (AI) has made great strides in the healthcare industry, particularly in the following areas: automated machines; software and computer applications like diagnostic tools like MRI radiation technology and CT diagnosis; and data and information storage and management, including patient medical histories, medicine stocks, sale records, and so on. Artificial intelligence has undoubtedly improved the efficiency and effectiveness of healthcare in general and the pharmacy industry in particular. A growing body of research in recent years has focused on the potential of artificial intelligence (AI) to improve our understanding of drug development, dosage form design, polypharmacology, and hospital pharmacy, among other vital areas of pharmacy. The article intends to put together a detailed report that any working pharmacist may use to comprehend the most significant advances made possible by deploying AI because of the field’s increasing significance.
Zygmund-Calderon Operators in the Weighted Variable Exponent Spaces
Authors:   National Technical University of Ukraine, Ukraine, Yaremenko Yaremenko*
Published: April 2024

This article is dedicated to the Zygmund-Calderon operators in the variable exponent spaces p( ) L ⋅ with measurable function : 1, ( ) n p R → ∞ . W
Influence of Mobile Loan Structuring on Growth of Small and Micro Enterprises in Nairobi City County, Kenya
Authors: Nyamai Joseph Mwaniki , Kariuki Grace
Published: April 2024

Background of the study: Small and Miсrо enterprises are an essential fragment of many countries. In Kenya, small and micro-enterprise area accounts for more than fifty percent of new opportunities created. However, the deficiency of loans is а key inhibition to the growth of the small and micro-enterprise sector.Restrained ассess to proper finance because of inadequate and lack of competence to provide financial services is a constraint to the advancement and expansion of the sector. Objective of the study: The research sought to establish the impact of mobile loan structuring on the growth of small and micro enterprises in Nairobi City Соunty. The research was steered by; the Technology ассeрtаnсe model, credit rationing theory, and financial growth life сyсle theory. Research Methodology: The study utilized а descriptive research design and questionnaires were used as the primary research tool.The target рорulаtiоn was a total of 1539 SMEs respondents’ орerаting within Nairobi Сentrаl Business District, hence obtaining а sample of 317 SMEs as resроndents. The survey employed a stratified sampling technique where the рорulаtiоn were split into seven strata depending on the sector the firm is орerаting in. The sample population units were subsequently chosen using simple random sampling. Results and findings: The study findings revealed that mobile loan structuring has a negative and significant effect on the growth of SMEs (β= -0.178; p<0.05). The study concluded that the size of loans advanced affects how the needs of the business are met, and most importantly, favorable loan facility processing fees also affects transaction costs. The study recommends that clients should be provided with a fair repayment plan that allows them to pay the loan in a more structured manner.
Pre-Analytical Phase in Mycology
Authors: Bousnina Fatiha , Nassiri Oumaima , kharkhach Oumaima , Rhoubi Asmae , Barroudi Ayoub , Mahi Imad , Laghzaoui Samira
Published: April 2024

Fungal infections remain a frequent cause for medical consultation, representing a prevalence of 20-25%. Mycology laboratory represents the key to the management of fungal diseases, whose objective lies not only in providing accurate analysis results, as well as completing them within a satisfactory time, maintaining traceability for all laboratory procedures, in accordance with ethical principles, while ensuring the safety of both patients and staff. The pre-analytical phase is the most complex part of the biological process, and some steps may escape the attention of biologists, since this phase involves several external factors beyond the laboratory, which requires the management of a massive flow of information. or this reason, the implementation of a quality system allows the detection and minimization of errors occurred during each stage of this phase, in particular the ISO15189 standard and the Guide of proper execution of analysis. Through this work, we have reviewed the main stages of the pre-analytical phase in mycology, from prescription to sample preservation, focusing on the requirements of this process, as well as the primary investigations to be conducted for each type of mycological specimen.
Evaluation of Utilization Practices towards Cholera Response Water Tanks among Residents: A Case Study of Lusaka District.
Authors: Choongo Mulungu , Chola Shimangwala , Chrispin Mupakile , Linda Mumba , Macmillan Kapungwe , Emmanuel Siwela , Lweendo Shimunzhila
Published: April 2024

Cholera outbreaks generally occur when water, sanitation and hygiene (WASH) services are inadequate or compromised. Annual estimates stand at 2.9 million cases and 95,000 deaths across 69 cholera-endemic countries with Sub-Saharan Africa and South Asia leading on the global cholera morbidity and mortality rates. Zambia continues to report higher morbidity and mortality with each recurrent outbreak. This raises concern on the impact of available interventions. This study was cross-sectional and employed qualitative evaluative techniques. Thirty (30) Focus Group Discussions (FGDs) supplemented with field notes by researchers) were conducted with 14 participants in each group drawn from 2 epi-centers i.e. Matero and Kanyama Sub-districts which accounted for over 70% of mortalities and morbidities. These epi-centers received 107 water tanks from authorities. The study found that residents were aware of the outbreak and attributed it to hygiene standards in the community while citing poor waste management and unsafe drinking water sources. The study also found poor WASH practices which included inability to perform correct hand hygiene during water collection, use of uncovered buckets and allowing children at the water points. Residents accessed the cholera response tanks and appreciated the intervention the government had put in place. Among the uses of the water from the tanks, residents preferred the water from cholera response tanks as they noted it tasted like mineral water. However, the water was prominently used for bathing highlighting that it made their skin smooth. The study also noted erratic supply as tanks ran out of water within 24hrs and it took an average of 4 days to refill the tanks. The study concluded that this intervention was appreciated, however, due to poor hygiene standards and erratic supply of water, the intended result could not be realized. The study recommends long term solutions such as drilling of boreholes alongside the tanks as well as repairing existing supply networks to water kiosks with consistency in water supply by utility companies.
Critical Interconnectedness of Awareness, Waste Management and Infrastructure in Environmental Discourse and Practice
Authors: Oyegoke Bolatumi , Nkomo Duduzile , Dube Buyisani
Published: April 2024

Awareness, waste management (WM) and infrastructure are closely linked issues of environmental sustainability. Perception levels shape household activities which have to do with waste generation, waste collection, waste disposal, and waste recycling. Urban, sub-urban and rural infrastructure in turn impacts WM. Botswana’s laudable vision 2036 to transform into a knowledge-based economy has implications for knowledge and for the gaseous, liquid, and solid environment. The objective of this study is to examine a few environmental issues that are germane to having a knowledge-based economy in the twenty-first century. The methodology is qualitative; hence data collection is through the desktop modality to source relevant orthographic and pictorial information from academic journals, books, pictures, and newspapers, etc. The issues are examined from the viewpoints of selected frameworks of environmental education, specifically those of behavioural change, personal change and social change. The procedure is also comparative between Botswana and other cross border urban, semi-urban, and rural geographic settings and experiences in Southern Africa (Durban, Cape Town), East and Central Africa (Rwanda, Uganda, Tanzania), and West Africa (Lagos State, Ogun State, Osun State). The study found that an adequate level of awareness, the formulation and implementation of an effective WM policy, and the provision of basic infrastructure, are important requirements to drive a knowledge-based economy.
METABÓLITOS BIOATIVOS PRESENTES EM GARRAFADA INDICADA PARA TRATAMENTO DA INFERTILIDADE FEMININA, PREPARADA DE ACORDO COM RECEITA DA INTERNET
Authors: Marcília Ana Evangelista Alexandra , Ferreira Lucas Esther Maria , Oliveira Gomes Fátima de Cássia , Binatti Ildefonso
Published: April 2024

Dentre as preparações realizadas com plantas medicinais, a “garrafada” é uma das mais difundidas popularmente, podendo ser adquirida no comércio popular ou preparada de forma caseira. Embora o uso de garrafadas seja uma prática comum no Brasil, na legislação não há referência a tais produtos. Nesta pesquisa foi avaliada a receita de uma garrafada indicada para tratar a infertilidade feminina, composta por romã (Punica granatum L.), unha de gato (Uncaria tomentosa), uxi amarelo (Endopleura uchi), cravo da índia (Syzygium aromaticum) e inhame (Colocasia esculenta (L.) Schott). Inicialmente, se realizou uma pesquisa bibliográfica para verificar se nestas espécies há metabólitos com atividades farmacológicas comprovadas, relacionadas ao tratamento da infertilidade. Em seguida, foram preparados, por maceração, os extratos de cada uma das espécies vegetais e de todas as espécies juntas, em metanol e em vinho, para verificar a presença dos marcadores químicos e comparar a eficiência das extrações. A determinação da composição química dos sistemas foi realizada por meio da análise dos espectros obtidos por ESI-MS. Os resultados mostraram que as espécies vegetais apresentam metabólitos com ação farmacológica relacionada ao tratamento da infertilidade. Os extratos em metanol apresentaram maior número de metabólitos do que os extratos preparados em vinho, corroborando a tese de que o sistema extrator utilizado em garrafadas não é o mais eficiente. Os fitofármacos encontrados na garrafada, que apresentam ações farmacológicas relacionadas ao tratamento da infertilidade foram a isocumarina bergenina, o ácido gálico e a apeginina.
Optimization heart disease prediction using independent component analysis and support vector machine
Authors: Khalifa Abbas Nawar
Published: April 2024

Prediction models play a crucial role in early detection and intervention for cardiac diseases. However, their effectiveness is often hindered by limitations inherent in current methodologies. This paper proposes a novel approach to address these challenges by integrating Independent Component Analysis (ICA) with the Support Vector Machine (SVM) technique. Utilizing a comprehensive Cleveland dataset, our model achieves notable performance metrics, including an accuracy of 90.16%, an Area Under the Curve (AUC) of 96.66%, precision of 90.02%, recall of 90.00%, F1-score of 90.00%, and a minimal log loss of 3.54. Our methodology not only surpasses previous methodologies through extensive comparative analysis but also addresses common constraints identified in existing literature. These limitations encompass insufficient feature representation, overfitting, and a lack of proactive intervention strategies. By amalgamating ICA with SVM, our model enhances feature extraction, mitigates overfitting, and facilitates proactive diagnosis and intervention in individuals suspected of having heart disease. This study underscores the importance of mitigating current literature limitations and underscores the potential of integrating contemporary machine-learning techniques to advance prediction models for heart disease.
Training Volunteers to Prune Recently Planted, Small Street Trees
Authors: Fawcett Ryan , Kane Brian , Bloniarz David V.
Published: April 2024

Background

Trees in towns and cities provide many benefits, but also disservices such as risk and conflicts. Structural pruning of young trees can reduce future conflicts and risk as trees grow larger; it also can reduce future maintenance costs. Volunteers can perform important urban forestry tasks such as planting, watering, and conducting inventories. It was hypothesized that, with training, they could also learn to structurally prune young street trees.

Methods

Forty-seven volunteers in three cities in Massachusetts were trained to structurally prune trees. Twenty volunteers trained in a classroom lecture; twenty-seven trained with a hands-on approach. The volunteers’ performance was evaluated with a written exam andin situassessments of their ability to specify and explain pruning recommendations and make pruning cuts. Training type and covariates (e.g., volunteers’ familiarity with trees, number of branches) influence on volunteers’ performance were investigated.

Results

On the assessment of volunteers’ ability to explain pruning recommendations, volunteers who received hands-on training achieved higher mean scores (79%) than volunteers who received classroom training (74%). All volunteers who received hands-on training did not leave a stub when making a reduction cut, but only 70% of volunteers who received classroom training did not leave a stub. Volunteers who received classroom training achieved higher scores on the exam (93%) than volunteers who received hands-on training (85%).

Conclusions

Results suggest that with minimal training volunteers successfully learned structural pruning. This is an encouraging finding that may help municipal arborists accomplish more with limited urban forestry budgets.
Automated Domesticity: Exploring the Realm of Home Automation Systems
Authors: Atharv Dombe  , Divyanshu Gupta  , Mayank Karemore  , Suraj Pawar  , Sachin Jolhe
Published: April 2024

This research paper presents the development and implementation of a comprehensive smart home automation system comprising a smart switchboard, smart smoke, flame, and gas detector, and a smart door lock system. Leveraging innovative technologies such as voice control, sensor networks, and Bluetooth Low Energy connectivity, the system offers users enhanced convenience, safety, and energy efficiency within residential environments. The smart switchboard enables intuitive voice-controlled operation alongside traditional manual control options, while the smart smoke, flame, and gas detector provide real-time monitoring and alerting capabilities. Additionally, the smart door lock system ensures secure access control through voice password authentication and manual lock and key options. Through this integration, our research demonstrates the transformative potential of smart home automation in revolutionizing household management and enhancing quality of life
Review Paper on Cloud Intrusion Detection System
Authors: Prof. R. G. Waghmare  , Kaustubh M. Karale  , Omkar A. Raut
Published: April 2024

The study proposes an enhanced cloud intrusion detection system (IDS) that tackles security challenges in cloud computing, focusing on data imbalance and feature selection. By integrating SMOTE for data imbalance and a hybrid feature selection method, the system achieves exceptional accuracies exceeding 98% and 99% on two datasets. The use of fewer informative features enhances system efficiency, showcasing its practical applicability and effectiveness in real-world scenarios. Overall, the study contributes significantly to cloud security by offering a holistic approach to IDS enhancement
Rice Monitoring and Yield Estimation in Dumangas, Iloilo, Philippines Using Satellite Imagery
Authors:   University of the Philippines Los Banos, Brusola Kezia Shem , Dorado Moises , Castro Marion Lux , Sta. Cruz Pompe
Published: April 2024

An agricultural monitoring procedure utilizing the combination of remotely sensed data, vegetation indices, ground truth information, and local knowledge on the phenology and development of rice, which is the staple crop produced in Dumangas, Iloilo, Philippines, was established and analyzed in this study. The areas with standing crops and their corresponding growth stage were reported for the 2nd and 3rd cropping of 2020. The spatio-temporal analysis determined that NDVI is directly correlated with the photosynthetic activity and development of the crop. Dry season cropping lasted from October to January, while the 3rd cropping lasted from February to April. The percentage of the rice areas planted per month were also studied and observed that the area spatially and numerically increased as farmers planted during the start of the season. The ground data from the 20 GCPs were compared with the Sentinel 2 NDVI. The phenological metrics for each point characterized the development of the crop. From the investigation, the municipality commonly used hybrid varieties, which have a growth duration of 85 to 100 days. The NDVI ranges were 0.163 to 0.309, 0.35 to 0.682, 0.535 to 0.671, and 0.235 to 0.533 for seedling, vegetative, reproductive, and ripening. APSIM was used for yield modeling of the cropping season 2019 and observed to have a good correlation during the wet season. Underestimation was detected for cropping seasons during times with limited rainfall. This study was beneficial for the LGU in crop estimation as it produced highly reliable spatial and temporal results.
RNA-seq-based elucidation of lactylation in breast cancer
Authors: He Puxing , Du Huan , Zhou Qing , Wu Yaolu
Published: April 2024

Introduction

Lactylation is the covalent modification of histones using lactate as a small molecule precursor, playing a role in epigenetic regulation. As a novel protein post-translational modification, it has demonstrated significant relevance in the field of cancer diagnosis and therapy. However, the interaction between lactylation and tumor cells in breast cancer has not been extensively investigated.

Material and methods

We acquired breast cancer-related data from the GEO and TCGA databases. Lactylation-related genes were identified from the differentially expressed genes. We utilized COX and LASSO regression to identify genes with significant prognostic value for constructing a prognostic model and assessing its predictive performance. This model was integrated with clinical parameters to create a nomogram. Finally, we conducted immune infiltration analysis, analyzed differences in biological functions, and assessed drug sensitivity.

Results

We ultimately identified 3 lactylation-related genes significantly associated with prognosis. These genes were used to construct a prognostic model and calculate a risk score. Using the median score, patients were divided into high-risk and low-risk groups. Notably, the low-risk group patients exhibited better prognosis and higher levels of immune infiltration. GO/KEGG enrichment analysis revealed that PGK1, the gene with the highest HR among these genes, is widely involved in immune, metabolic, and proliferative signaling pathways. Its high expression also correlates with increased sensitivity to anti-tumor drugs.

Conclusions

We showcased the potential of lactylation-based molecular clustering and prognostic profiling for predicting survival, immune status, and treatment response in breast cancer patients. Additionally, we envision the utilization of PGK1 as a diagnostic marker and therapeutic target in the cancer.