bluuebunny/crossref_metadata_2025 huggingface dataset:
La Migración de la Televisión, como Medio Tradicional a las Redes Sociales
Authors: Lovera Choque Maria Elisa , Rocha Guzmán Juan Pablo
Published: September 2023

El presente artículo de investigación tiene como propósito principal describir el fenómeno de migración por el cual están atravesando los medios televisivos tradicionales de la ciudad de Oruro – Bolivia hacia las redes sociales, para lo cual se ha utilizado un enfoque cuantitativo de tipo descriptivo con un diseño no experimental de tipo transversal. Como técnica de recolección de datos se utilizó una encuesta estructurada aplicada a una muestra de 12 medios televisivos locales; dicha encuesta dio como resultado que la totalidad de los medios están migrando a las redes sociales, sobre todo a Facebook, red social en la cual los programas de televisión están difundiendo sus contenidos (programas en vivo, transmisiones, videos, etc.). Esto a su vez ha traído consecuencias para los canales de televisión, ya que han sufrido pérdidas en su audiencia y en su publicidad. Esto muestra que la televisión tradicional está siendo desplazada por las redes sociales.
La Implementación de la IA Generativa en la Redacción Periodística de la Ciudad De Oruro
Authors: Silvestre Lobo Alejandra Lucía , León Mendoza Marianela
Published: September 2023

Este trabajo académico describe los usos de la IA generativa en el periodismo El desarrollo investigativo muestra las interfaces creadas por agencias de noticias internacionales, las de Europa y Norteamérica se posicionan como los pioneros de su creación y uso. Mientras, los periodistas orureños aún muestran cierta postura reacia a la implementación de esta herramienta tecnológica en el ejercicio periodístico. En ese sentido, se presentan las desventajas que podría traer su uso, tomando en cuenta las percepciones de los profesionales del área.
Storytelling Como Recurso Periodístico y Publicitario
Authors: Miranda Padilla Camila Monserrath , Patty Guzmán Pablo Andrés
Published: September 2023

Hoy en día, algunas marcas se han dado cuenta de la importancia de crear vínculos emocionales a través de las historias contadas en su contenido publicitario para sobresalir frente a la competencia. Este trabajo pretende mostrar al Storytelling, como estrategia de posicionamiento de una marca y como herramienta efectiva para persuadir al consumidor y así lograr la compra y fidelización con el producto o servicio. Las marcas consideradas para esta investigación son: En el ámbito periodístico, el periódico La Patria de la ciudad de Oruro; y en el área de marketing la mundialmente conocida Coca Cola, con el propósito de demostrar el éxito que puede traer el aplicar este recurso en la comunicación. La metodología implementada fue: La revisión bibliográfica, observación de los efectos que causan los anuncios de las marcas mencionadas en la audiencia y la elaboración de una encuesta aplicada a un grupo seleccionado de 50 personas. Habiendo analizado las respuestas brindadas por la población orureña, podemos confirmar que el Storytelling, es más que solo contar historias, es el arte de conectar con las personas a través de sentimientos y emociones.
Mejoramiento e Integración de sistemas informáticos de las EPS Sedaloreto S.A. en la Ciudad de Iquitos
Authors: Paredes Meneses Jacker
Published: September 2023

Mejoramiento e Integración de sistemas informáticos de las EPS Sedaloreto S.A. en la Ciudad de Iquitos
Toward a conceptual framework for designing sustainable cyber-physical system architectures: A systematic mapping study
Authors: Restrepo Gutierrez Luisa Fernanda , Bernal Moreno Pablo , Suescún Monsalve Elizabeth , Aguilar Castro Jose Lisandro , Pardo Calvache César Jesus
Published: September 2023

Cyber-physical systems (CPS) represent devices whose components enable interaction between machines and processes. One of the biggest challenges of these systems today is the ability to adjust to changes at the time of execution as they are implemented in environments with a multidimensional complexity, this challenge is currently addressed from the design of the systems themselves by integrating sustainability. With this problem in mind, the present document describes a systematic mapping study of the literature with the goal of demonstrating the current panorama of the frameworks, designs, and/or models used at the time of initiating the development of a cyber-physical system. As a result, it has been concluded that there is a lack of guidelines to construct sustainable, and evolvable cyber-physical systems. To address these issues, a framework for designing sustainable CPS architectures is outlined.
Contribution of Limb Muscle Explosive Power and Flexibility to Dollyo Chagi Kicking Ability in Taekwondo Athletes in Solok City
Authors: Akbar Muhammad , Ali Hapzi , Mahaputra M. Ridho
Published: September 2023

This study aims to see the relationship and how much contribution of leg muscle explosive power and flexibility alone or together to the dollyo chagi kick ability of taekwondo athletes in Solok City. This research is a correlational study, namely to find out how much the contribution between the explosive power of the leg muscles and flexibility on the dollyo chagi kick ability of Taekwondo athletes in Solok City. Based on the calculation of the results of the analysis, the following results were obtained: (1) there was a significant relationship between the explosive power of the leg muscles and the kick ability of dollyo chagi taekwondo athletes in Solok City, with t count 0.62 > t table 0.361, the contribution of leg muscle explosive power to dollyo kick ability the chagi taekwondo athlete in Solok city was 38.44 %. (2) There is a significant relationship of flexibility to the dollyo-chagi kick ability of taekwondo athletes in Solok city with t count 0.58 > t table 0.361, the contribution of flexibility to the dollyo chagi kick ability of taekwondo athletes in Solok city is 33.64% . (3) There is a significant relationship between leg muscle explosive power and flexibility on the kick ability of dollyo chagi athletes of Taekwondo city of Solok with F count 0.64 > F table of 0.361, the contribution between explosive power of leg muscles and flexibility towards dollyo chagi kicks of taekwondo athletes of Solok city by 40.96 %.
Implementation of Physical Education, Sports and Health Learning for Students on Field Work Practices in Public Elementary Schools in the District of Koto Tangah Padang
Authors: Radit Aditiya M. , Saputra Tanjung Hendra
Published: September 2023

This study aims to see, Learning Planning, Learning Implementation and Learning Evaluation at Public Elementary Schools in Koto Tangah District, Padang City. This type of research is descriptive. The population in this study were 64 public elementary school teachers of Physical Education and Health, Koto Tangah District, Padang City in the 2014-2015 academic year. The sample of this study consisted of 11 Physical Education teachers at Gugus V/VI Public Elementary School, Koto Tangah Padang District, the sample was taken using a purposive sampling technique, the data table used a Likert scale. The data is analyzed using the frequency distribution formula in the form of a percentage. The results of the study stated 1) Learning Planning with a percentage found to be 82.62% was categorized as very good, 2) Learning implementation was found to be 89.98% categorized as very good, 3) Learning Evaluation was found to be 90.89% categorized as "Very Good." Hopefully the way of implementing Penjasorkes learning can be maintained.
Numerical Modeling of Transboundary Groundwater Flow in the Bug and San Catchment Areas for Integrated Water Resource Management (Poland–Ukraine)
Authors:   Polish Geological Institute – National Research Institute, 4 Rakowiecka Str., Warsaw 00975, Poland, Solovey T. , Janica R. ,   Polish Geological Institute – National Research Institute, 4 Rakowiecka Str., Warsaw 00975, Poland, Harasymchuk V. ,   Institute of Geology and Geochemistry of Combustible Minerals of National Academy of Sciences of Ukraine, 3a Naukova Str., Lviv 79060, Ukraine, Przychodzka M. ,   Polish Geological Institute – National Research Institute, 4 Rakowiecka Str., Warsaw 00975, Poland, Yanush L. ,   Enterprise “Zahidukrgeologiya”, 8 Mitskievich Str., Lviv 79000, Ukraine
Published: September 2023

On the Polish–Ukrainian borderlands, there is the Lublin–Lviv transboundary groundwater aquifer system, which is of key importance in shaping strategic groundwater resources. Due to the particular importance of this aquifer system, the two neighboring countries are obliged to undertake joint actions to protect it. The integrated management of the Lublin–Lviv aquifer system seems difficult due to the significant spatial and temporal scale of groundwater flows in the region. To support internationally integrated management, a transboundary geological model was developed. Based on this model, a hydrogeological conceptual model has been developed, which allowed for a numerical model of groundwater flow to be calculated. The model research helped diagnose potential problems by determining the scope of the area with cross-border flows and quantifying the flows between Poland and Ukraine. In addition, the numerical model was used to define the optimal cross-border management unit and the conditions needed to sustainably exploit the Lublin–Lviv aquifer system. Basing on the research results it was concluded that groundwater flows in transboundary aquifers very on a regional scale and that the range of areas of importance for transboundary groundwater flows is much smaller than the pre-selected partial catchments of the Bug and San Rivers. The results of this study may significantly contribute to the preparation of joint water management plans.
Differences in China Greening Characteristics and its Contribution to Global Greening
Authors:   State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China, Zhang X. , Yan D. H. ,   State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China, Qin T. L. ,   State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China, Li C. H. ,   State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China, Wang H. ,   State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Published: September 2023

With the rapid emergence of the global greening phenomenon under remote sensing monitoring, the prevailing trend of phenomenon analysis and traceability research is self-evident. However, identifying characteristics is basic research of the greening phenomenon, which sometimes subverts research results. The choice of method may directly affect the difference in the greening-browning range, which is easily overlooked. At the same time, influenced by the regional vegetation state’s basic value, the greening contribution’s spatialization still needs to be further verified. Based on the enhanced vegetation index results at the global kilometer-grid scale, this research chose to use the maximum value composite and the simple average method to explore the differences in China’s characteristic identification process initially. While paying attention to results and phenomena, scholars’ attention to basic research needs further improvement. The results show that the widely used two groups of basic methods have shown noticeable differences in greening and browning, and are affected by human activities, climate, geographical environment, etc. And this directional error and the phenomenon of hasty generalization are the most easily ignored in much basic research. The vegetation information considering the inherent stock and changing flux has quantified the greening contribution between regions. China, Brazil, and India dominate global greening, and Canada significantly contributes to browning. Some regions must promote the greening trend of changing flux while maintaining the inherent stock advantage.
Anticancer and antiproliferative activity of ruthenium complex (II) bearing 3,3’-dicarboxy-2,2’-bipyridine ligand
Authors: Saadh Mohamed
Published: September 2023

Even though significant progress has been made in cancer treatment, there is always room for improvement. The experimental drug Ruthenium Complex II shows promise as a cancer treatment. In this article, the dichloro-3,3’-dicarboxy-2,2’-bipyridyl bis(dimethylsulphoxide)ruthenium(II) [RuCl2(3,3’-dcbpy)(DMSO)2], have been synthesized, characterized, and studied for its anticancer activity against MDA-MB-231 and MRC-5 cell lines, as well as its mechanisms of action and selectivity. According to research, [RuCl2 (3,3’-dcbpy)(DMSO)2], is highly cytotoxic to the MDA-MB-231 and minimum cytotoxic to MRC-5 cell lines, with IC50 values of 5.95 and 579.6 μg/ml, respectively. Ruthenium Complex II is exceptionally effective at destroying cancer cells while causing minimal harm to healthy cells. RuCl2(3,3’-dcbpy)(DMSO)2] caused apoptosis, which was confirmed by the activation of caspase-3. Ruthenium complexes hold great promise as powerful anticancer agents. Their unique mechanisms of action, ability to selectively target cancer cells, and versatility in chemical structure make them attractive candidates for the development of targeted therapies.
Les élections générales de 2022 au Kenya. La revanche des cadets sociaux ?
Authors: Maupeu Hervé
Published: September 2023

Cet article présente les résultats des élections générales de 2022 au Kenya en essayant de comprendre pourquoi l’ethnicité n’a pas été politisée de la même façon que lors des scrutins précédents et pourquoi les violences électorales ont moins marqué ce scrutin. Est-ce que cela signifie que les nouvelles institutions issues de la Constitution de 2010 ont correctement fonctionné, notamment pour pacifier la compétition politique ? Cette élection a été marquée par une campagne électorale qui a cherché à séduire certaines catégories sociales, en particulier les jeunes hommes et les femmes. Est-ce révélateur de la fin de leur marginalisation socio-politique ? Nous montrons que c’est loin d’être le cas à l’échelle nationale, mais, à partir de l’étude du comté de Meru, nous détaillons leur capacité (malgré tout limitée) de mobilisation. Enfin, nous nous intéressons à la manière dont le Président Ruto et son camp politique parviennent à consolider leur victoire électorale après le scrutin.
Screening of bacteria in Yarık Sinkhole, Antalya, Turkey for carbonate dissolution, biomineralization and biotechnological potentials
Authors: Arslan- Aydoğdu Elif Özlem , Avci Yağmur , Ahamada Rachid Nahdhoit , Çolak Batu , Doğruöz-Güngör Nihal
Published: September 2023

Abiotic and biotic factors, especially microorganisms, play a role in the development of cave formations and the existence of unique characteristics of each cave. Due to the ecological conditions that characterize the cave environments, highly specialized microorganisms that are the main source of diverse bioactive compounds, inhabit these environments. The aim of this study is to determine the role and biotechnological potential of the bacteria isolated from Yarık Sinkhole located in Antalya (Turkey) by screening their ability to induce the CaCO3 precipitation, to hydrolyze urea, to induce calcite dissolution, and screening their possession of NRPS/PKS gene clusters. The most prevalent phylum is the Bacillota (synonym Firmicutes) (75.7 %), while the dominant species is Bacillus pumilus (33 %). All the isolates showed crystal formation on B4 agar medium, and the Energy dispersive X-Ray spectroscopy (EDS) analyses showed that the crystals are predominately composed of calcium, carbon and oxygen. Ninety-six (96 %) of our isolates have negative ureolytic activity. According to this result and having the ability to induce the CaCO3 precipitation, bac­teria in this environment use other biosynthesis pathways than urea hydrolysis. MgCO3 and CaCO3 were dissolved by 61 % and 59 % of the isolates, respectively. In addition, 5.9 % and 53.7 % of the isolates showed the possession of PKS and NRPS genes, respectively. This result reveals that our isolates have high in­dustrial and biotechnological potential. They may constitute good candidates for further biotechnological applications such as construction of bio-concretes, bioremediation, soil fertility, and production of biologically active secondary metabolites.
Lechuguilla Cave: Discoveries in a Hidden Splendor
Authors: Gedei Peter
Published: September 2023

Report about the book on Lechuguilla Cave.
Usability Evaluation of Tablet-Based Electronic Medical Record Interface in Supporting Elderly Medical Doctors
Authors: Salman Hasanin Mohammed , Almukhtar Firas Husham
Published: September 2023

Recently, tablet-based devices have become significantly more utilized platforms for electronic medical record (EMR) systems. EMR is the digital counterpart of the medical doctor’s office paper charts. EMR systems contain the medical and treatment histories of the patients in a unified practice. Nevertheless, statistics indicate that a considerable percentage of medical doctors are elderly, aged 60 and above. As using mobile handheld devices (including tablets) poses a well-recognized usability challenge for elderly users, the user interface (UI) usability of tablet-based EMR systems must be thoroughly assessed, considering the needs of elderly medical doctors. Accordingly, our objective is to address this need. Three expert evaluators implemented the heuristic evaluation (HE) approach to evaluate the UI usability of a commercial EMR system that is a tablet-based platform. Applying the HE approach helped identify usability problems that elderly medical doctors might encounter when utilizing a tablet-based EMR UI. In total, eight usability problems contributed to the seven heuristic violations discovered.
New Highly Portable Simulator (SECMA) Based on Virtual Reality for Teaching Essential Skills in Minimally Invasive Surgeries
Authors: Guzmán José Ignacio , Herrera Mauricio , Rodríguez Beltrán Camilo
Published: September 2023

This study presents a new minimal access surgery training system, SECMA, and its constructive validation to determine its usefulness for training basic laparoscopic skills. SECMA is an affordable, highly portable, mobile virtual reality training tool for laparoscopic techniques that integrates the Oculus Quest with a mechanical interface for surgeon simulation of forceps using the hand controllers of these devices. It allows the execution of structured activities (supported by virtual scenarios simulating operating rooms developed in Unity), performance evaluation, and real-time data capture. Two experiments were carried out: 1) coordination; and 2) capture and transport, with a total of 21 individuals divided into two groups: a novice group (inexperienced) of 10 participants and an expert group (>100 endoscopic procedures) of 11 participants. Total task time score, right-hand speed, path length, and other metrics from several consecutive runs on the simulator were compared between experts and novices. Data automatically recorded by SECMA during the experiments were analyzed using hypothesis tests, linear regressions, analysis of variance, principal component analysis, and machine learning-supervised classifiers. In the experiments, the experts scored significantly better than the novices in all the parameters used. The tasks evaluated discriminated between the skills of experienced and novice surgeons, giving the first indication of construct validity for SECMA.
Rechargeable Active Implantable Medical Devices (AIMDs)
Authors: Newaskar Deepali , Patil B.P.
Published: September 2023

Active Implantable Medical Devices (AIMDs) act as lifesaving devices. They provide electrical signals to tissues as well as perform data-logging operations. To perform these operations, they need power. The battery is the only source for such devices, as they are placed invasively inside the human body. Once the battery drains out, the patient wearing the device has to undergo medical surgery for the second time, where there are many chances of infections, and it could be life-threatening too. If the AIMDs, e.g., pacemakers are designed using rechargeable batteries, then the devices can be recharged regularly, which can increase the life of the device as well as reduce its size. Wireless charging of AIMDs such as ICDs or pacemakers is proposed in this paper using magnetic resonant coupling. The selection of frequency for power transfer is the most crucial part, as the basic restriction (BR) criteria proposed by ICNIRP guidelines and the IEEEC95.1 standard need to be followed, which ensures the safety of the patient. This is suggested by considering some basic restriction parameters, such as specific absorption rate (SAR) and current density, as suggested by guidelines. In this paper, experimentation using two frequencies is shown, i.e., 1.47 MHz (the high frequency) and 62 KHz (the low frequency). For experimentation, goat flesh and saline solution are used. Secondary coil and flesh are dipped in the saline solution. Battery recharging performed at a lower frequency took less time than with a frequency in the MHz range. All BR criteria are fulfilled for both frequencies, so the proposed methodology is safe to use.
Evaluation of a Prototype Mobile Application Based on an Expert System for the Diagnosis of Diseases Transmitted by the Aedes Aegypti Mosquito
Authors: Jaúregui-Velarde Raul , Molina-Velarde Pedro , Yactayo-Arias Cesar , Andrade-Arenas Laberiano
Published: September 2023

The Aedes aegypti mosquito transmits the dengue, zika, and chikungunya viruses, endangering the health and lives of people in affected countries due to a lack of timely diagnosis. The objective of this study is to design and evaluate the feasibility of a mobile application based on an expert system for early diagnosis of diseases transmitted by the Aedes aegypti mosquito. The Buchanan methodology was used to develop the application. The results obtained show that the proposed mobile application has a diagnostic accuracy of 83%, a sensitivity of 91%, a specificity of 63%, and an error rate of 17%. The technical aspects of the application were also evaluated through a questionnaire administered to five computer experts. The results showed that the technical aspects of the application received an average rating of 3.91 out of a maximum of 5, with a standard deviation of 0.482. In addition, the usability of the application was evaluated using the standardized System Usability Scale (SUS), which was administered to a total of 15 users. The results of this evaluation showed that the application received an average score of 83 on the SUS scale, indicating a positive level of usability. In conclusion, the results support the effectiveness and potential of the application for the early diagnosis of diseases transmitted by the Aedes aegypti mosquito, providing a useful tool for the rapid detection of these diseases. Although it requires more attention to specificity and error rate to improve the accuracy of the diagnosis.
Integrated Ensemble Learning Framework for Predicting Liver Disease
Authors: Ardchir Soufiane , Ouassit Youssef , Ounacer Soumaya , EL Ghoumari Mohammed Yassine , Azzouazi Mohamed
Published: September 2023

The liver disease has become a pressing global issue, with a sharp increase in cases reported worldwide. Detecting liver disease can be difficult as it often has few noticeable symptoms, which means that by the time it is detected, it may have already progressed to an advanced stage, resulting in many people dying without even realizing they had it. Early detection is crucial as it enables patients to begin treatment earlier, which can potentially save their lives. This study aimed to assess the efficacy of five ensemble machine learning (ML) models, namely RF, XGBoost, Extra Trees, bagging, and stacking methods, in predicting liver disease. It uses the ILPD dataset. To prevent overfitting and biases in the dataset, several pre-processing statistical techniques were employed to handle missing data, outliers, and data balancing. The study’s results underline the importance of using the RFE feature selection method, which allowed the use of only the most relevant features for the model, which may have improved the accuracy and efficiency of the model. The study found that the highest testing accuracy of 93% was achieved by the proposed model, which utilized an improved preprocessing approach and a stacking ensemble classifier with RFE feature selection. The use of ensemble ML has given promising results. Indeed, medical professionals can develop models better equipped to handle the complexity and variability of medical data, resulting in more accurate diagnoses, more effective treatment plans, and better patient outcomes.
Entrepreneurship (Enterprise) Financial Stability
Authors: Ayandibu Ayansola Olatunji , Olutuase Samuel
Published: September 2023

The pursuit of financial stability as a goal for entrepreneurs/enterprises is no more underscored than the shocks created by the COVID-19 pandemic. Up till the end of 2019, more attention to measuring and strategizing for financial stability has been largely limited to the national economy and the financial sector. However, the COVID-19 impacts which include forcing a large number of enterprises out of the market necessitates a focus on enterprise financial stability. This chapter adopts the CAMELS framework to explain the concept of enterprise financial stability. It further expatiated the concept from the perspectives of shocks arising from global, regional, national or industry disruptions. The chapter concludes with cornerstones for strategising and maintaining an enterprise's financial stability in the event of disruptions.
Entrepreneurial Alertness in the Perusal of New Venture Creation
Authors: Mirza Farhan , Gill Shabeeb Ahmad , Ting Ding Hooi , Riaz Ahsan , Hasan Ali
Published: September 2023

This chapter propelled a transparent model or road map to start a new business venture that addresses literature and practices. The study aimed to investigate the serial mediation of opportunity creation, opportunity discovery, and entrepreneurial recognition between the relationship of entrepreneurial Alertness and new venture creation through the authority of entrepreneurship theory. The post-positivist school of thought has followed to unfold the current phenomenon. The study used the online survey forum of Google Forms and sent the link to the respondents through e-mail. The quantitative research method was implemented, and data were collected through stratified random sampling—the sample of 575 responses was collected from 54 Universities in South Asia and South Europe. The one-shot serial mediation model has run through user-defined in AMOS version 26. A partial serial mediation has been reported in the results of the study. All six hypotheses resulted in significant relationships.
Borderline Personality Disorder
Authors: Guerin Anissa
Published: September 2023

Borderline personality disorder (BPD) is characterized as a psychological disorder with a characteristic pervasive pattern of instability in affect regulation, impulse control, interpersonal relationships, self-image, and occupational attainment. Patients with BDP are often depicted as difficult because of aggressive outbursts, health-sabotaging behaviors, and high healthcare utilization. Despite that several evidence-based psychotherapies are recommended for BPD, neither psychotropic drugs nor medications for this condition have been approved by the FDA and none are known to be efficient treatments. Moreover, it is unclear how satisfactorily clinical—or research—diagnoses actually capture the experiences of African Americans who identify with BPD. Further research and development of care pathways for African Americans with BPD would help to ensure available resources are used effectively and services are suited to their specific needs.
Eating Disorders Among African-Americans
Authors: Smith Marcella
Published: September 2023

Eating disorders affects 20 million women and 10 million men in the United States at some point in their lives. The purpose of this chapter was to explore eating disorders among African Americans. Historically, eating disorders were perceived to be prevalent in European American females from upper socio-economic status. However, there is mounting evidence that eating disorders are no longer limited to the European American population; in recent years, several community surveys have revealed the prevalence of eating disorders among ethnic minorities in Western nations. It is critical that clinicians take a holistic approach and seek to comprehend the entire experiences of African American clients, which involves not only their physical health but also their emotional lives and the numerous ways in which racism, discrimination, poverty, trauma, and adverse childhood experiences can lead to eating disorders. It is critical to understand the probable causes and symptoms of eating disorders in African American clients, so they do not suffer in silence.
Schizophrenia
Authors: Knox Avril W.
Published: September 2023

Schizophrenia is a chronic psychotic illness that compromises a patient's ability to think clearly and maintain emotional stability. A patient's disease frequently makes interacting with others and forming enduring relationships challenging. It impacts a person's thoughts, feelings, and behavior as a severe mental disease. The diagnosis of schizophrenia among African Americans seeking mental health treatment is thus one of the most prominent and prevalent inequities. Environmental risk factors may be a part of the incidence rise. Black people's schizophrenia diagnoses may be biased, which can significantly impact the treatment provided. Determining and reducing diagnostic bias has been a critical strategy for reducing disparities in Black People's mental health outcomes.
Drug and Alcohol Use Among Blacks
Authors: Brownell Gracie
Published: September 2023

Drugs and alcohol abuse is a global social problem with negative consequences on personal, community, and societal levels. Earlier research has shown that Blacks use drugs and alcohol less than their white and Hispanic counterparts. However, evidence also shows that there are more negative and severe drugs and alcohol-induced consequences among Blacks in the United States. This disconnect between the low prevalence and higher negative outcomes is worsened by lack of culturally appropriate and timely interventions. This chapter has four main sections. The first part begins with a case study and covers the causes of drugs and alcohol use among Black and the factors that contribute to drug use and abuse, the second part is devoted to the consequences or outcomes that result from drug and alcohol abuse, while the third and fourth sections address treatment options available to this population and mental health perceptions.
The Role of Digital Marketing in Sustainable Marketing
Authors: Dube Mercy , Tshuma Sinothando , Mawere Rukudzo Alyson
Published: September 2023

This chapter explored the role of digital marketing in sustainable marketing and examined how companies can use digital channels to reach consumers and promote sustainable products and services. Sustainability has become an increasing area of contention for academics and businesses. Digital marketing has emerged as a powerful tool for reaching consumers and raising awareness of sustainability issues. The chapter outlines a range of digital marketing techniques that businesses can use to raise awareness of sustainable products and services. The chapter also highlighted factors driving the adoption of digital marketing channels as important tools for creating awareness and promoting the adoption of sustainable products and services. Factors driving the adoption of sustainable marketing have also been discussed in the chapter. A systematic literature review was done to analyse contributions by different scholars on the subject under discussion. The findings show that digital marketing plays a critical role in enhancing awareness of sustainable products and promoting their consumption.
Green Marketing Strategies and Consumer Behavior
Authors: Muchenje Chenjerai , Tapera Musekiwa Cliton , Katsvairo Hamilton Tamburayi , Mugoni Ernest
Published: September 2023

Marketing has evolved over the years towards sustainability demanding a paradigm shift towards environmentally friendly marketing methods. The paradigm shifted in three phases from ecological, to environmental, and finally sustainable marketing. While green marketing is a component of the environmental phase, the literature study revealed that it is important for driving sustainable marketing. This study incorporates literature discussion methodology to unpack the two interlinking concepts. This book chapter aims to provide readers with a comprehensive overview of the key principles, best practices, challenges, and opportunities associated with green marketing, and to inspire them to think creatively about how they can use these strategies to promote sustainability in their own businesses and communities. The study concludes that for businesses to remain profitable they need to embrace sustainable marketing that should be supported by green marketing. The relationship is illustrated by the green–sustainable framework that emanated from the literature study.
AI-Powered Technologies Used in Online Fashion Retail for Sustainable Business
Authors: Sharma Meenakshi , Shail Hinika , Painuly Pramod Kumar , Kumar A. V. Senthil
Published: September 2023

The business problem that arises from the topic of how AI-powered technologies used in online fashion retail is impacting Indian consumer buying behavior. Marketers need to be aware of the impact of artificial intelligence in digital marketing for online fashion retail as competition is intensifying, particularly in the fashion retail sector. To remain viable and provide a better customer experience, it is crucial to identify the areas that will prosper from the use of artificial intelligence-powered technology in marketing. This research aims to investigate the impact of AI-powered technologies on consumer buying behavior in online fashion retail in India. The study found that AI-powered technologies, such as recommender systems, virtual assistant, visual search, and chatbots, have positively impacted Indian consumer buying behavior. Online fashion retailers can leverage the benefits of AI-powered technologies to enhance the customer experience, increase sales, and gain a competitive edge in the market.
ChatGPT and Other Generative Artificial Intelligence (AI) Tools in Teaching and Learning as Integrative Pathways to Contemporary University Education
Authors: Bakare Oluwabunmi Dorcas , Oladokun Taofeek , Quadri Ganiyu Oluwaseyi , Idowu-Davies Temitope Oluwatofunmi
Published: September 2023

The emergence of artificial intelligence such as ChatGPT and other generative AI tools is redefining the educational landscape. This chapter discusses how ChatGPT and other generative AI tools are used for teaching and learning globally, with a focus on the difference between developing and developed countries. Varied responses between educators and institutions in Africa compared to the developed world and highlights of the skill gaps to be filled to ensure effective and ethical use of generative AI tools by both learners and educators in the developing world were discussed. The chapter concludes by highlighting the implication of poor handling of the current epoch on the future of education and the overall development of the African continent. The study was significant to practice, society, and policy based on a developing country's perspectives.
ChatGPT and the Education System
Authors: Maney Kiran Lokesh
Published: September 2023

ChatGPT is an AI chatbot gaining popularity in education. Educators have concerns about its impact. Chatbots are emerging in various sectors, including education and STEM. However, their use as a pedagogical tool is unclear. ChatGPT provides direct answers to difficult questions, raising concerns about essays and research production in universities. Pedagogical changes will be needed to adapt to ChatGPT. This chapter reviews ChatGPT's applications in higher education, highlighting challenges, risks, and ethical considerations. The chapter emphasizes the need for further investigation and suggests using ChatGPT as a memory tool for creative learning.
Ethical Guidelines on the Use of AI in Education
Authors: Paschal Mahona Joseph , Melly Isaiah K.
Published: September 2023

This chapter seeks to conduct a critical analysis and synthesis of relevant literature on the ethical guidelines on the use of artificial intelligence (AI) in education. Moreover, this chapter intended to discuss the approaches that could be used to ensure effective and efficient use of AI in education. The chapter also sheds light on the implication of AI in education which might be the directives to educational stakeholders such as policy makers, educators, students, researchers, and school leaders. This chapter calls for institutions to establish clear policies and frameworks that align with these guidelines and incorporate them into their decision-making processes. The chapter suggests that ongoing training should be provided to educators and stakeholders to ensure they understand the ethical considerations and implications of AI in education sector. Additionally, regular audits and evaluations should be conducted to identify bias, potential impact, and address any unintended consequences and make necessary improvements.
Education for All
Authors: Kaur Paramjeet , Sharma Manish
Published: September 2023

Cloud computing offers a potential solution to the challenge of providing affordable education for all, aligning with the United Nations' sustainable development goal of inclusive and equitable quality education. Mahatma Gandhi's vision of education as a tool for social transformation and empowerment resonates with the opportunities provided by cloud computing. By granting access to a wide range of educational resources and fostering collaborative learning, cloud-based platforms enable inclusive education regardless of geographic or economic constraints. This chapter explores the role of cloud computing in achieving affordable education, examining its benefits such as cost reduction, increased access to resources, and improved learning outcomes. It also investigates the alignment between cloud computing and Gandhi's vision of education for a more just and equitable world.
Applying Socioeconomic Modeling Methods to Develop the Concept of Catering in Russian Educational Organizations
Authors: Mindzaeva Eteri V. , Arinushkina Anna A.
Published: September 2023

The development of the concept of healthy nutrition in Russian educational institutions is an essential step in the state policy in the field of healthy nutrition for children. Such policies are aimed at ensuring the demographic security, one of the conditions for the safe and sustainable development of Russia. The chapter focuses on the basic principles of the socio-economic model of catering, underlying the concept and reflecting the current trends in the development of school food programs from the Food and Agriculture Organization of the United Nations.
Developing Multicultural Competence in Future Translators Using Digital Education Content
Authors: Morozov Alexander V. , Mikhaleva Olga V.
Published: September 2023

The authors analyze the training of students pursuing a bachelor's degree in the areas related to translation practice, aimed at building competence in educational and multicultural environments. Special attention is placed on the formation of multicultural competence, which is a crucial factor in training translators, regardless of the country and language studied. The opportunities for using digital educational content in preparing for intercultural dialogue with representatives of various countries and faiths are presented. The analysis substantiates the correlation between the use of digital educational resources in learning a foreign language and the development of multicultural competence, resulting in intercultural interaction. The presented results show that multicultural competence is a personality trait that includes vital competencies necessary for correct translation. The chapter reveals the regularity showing that the use of digital educational resources in training future translators improves this process and contributes to the formation of multicultural competence.
Experience of Teaching the Chinese Language in the Senior Courses at ISAA MSU
Authors: Timonkin Oleg S. , Kondrashevsky Sergey A. , Dashevskaya Galina Y.
Published: September 2023

Spring 2020 saw a change in the educational model of major universities around the world. Teaching Chinese as a foreign language in the higher education system is also actively transforming towards online teaching methods. The paper focuses on descriptive research and is devoted to analyzing the advantages and problems of online teaching of Chinese as a foreign language in the second, third, and fourth courses of the ISAA MSU in the period March2020–June 2023. Also, we summarize some of the measures applied during this period by the teaching staff to ensure an effective educational process.
The Problem Modification Method
Authors: Yaremko Nataliia N. , Selutin Vladimir D.
Published: September 2023

Teaching probability theory is a non-trivial methodological task. One should know how to build the educational process so that students understand this discipline, master the methods of probability theory, and become interested in this discipline. Furthermore, the students should prepare for exams without negative emotions and stress. The authors share our experience of conducting classes in the initial course of probability theory using the problem modification method. Besides, they reveal the essence of the problem modification method, illustrate some methodological developments. As a result, it was found that the problem modification method is the key to understanding and mastering probability theory at the level of creating new problems and systems of problems.
An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning
Authors: Kishor Kumar Reddy C.
Published: September 2023

Recently, the increase in internal health problems in society has led to an increase in research on the development of mechanistic capacity models to detect or predict internal mental health. The effective use of internal health assessments or discovery models allows internal health interpreters to redefine internal suffering more objectively than ever before, and in the early stages when interventions may be more effective. In this chapter, the authors aim to apply a bias mitigation system based on multitasking literacy to perform a fairness analysis and to fear the predicted model using the Reddit dataset. This chapter employs an efficient technique for machine learning random forests. The proposed model was evaluated against various performance metrics and the model showed 91.00% accuracy. This is an advantage compared to existing approaches.
Annotations of Machine Learning in Communication and Identification Systems Pertaining to Security Aspects
Authors: Rout Dillip , Gawand Swati , Mahale Jayashree , Wheeder Joseph
Published: September 2023

In this work, a summary of machine learning (ML) applications in communication and identification technologies is presented. Focus is placed in particular on device communication over the Internet. In other words, the topic of device communication between computers, cell phones, and other electronic devices is covered. Additionally, the internet of things (IoT) technologies used to connect smart gadgets are detailed. Along with describing the methods of data sharing, the security characteristics of these communications are also discussed. In essence, ML algorithms are discussed to represent strategies to improve security. Furthermore, the identification of passengers and vehicles is explained, taking communication technologies like the internet, wireless fidelity (WiFi), radio frequency identification (RFID), etc. In this context, particular algorithms are discussed together with their benefits and drawbacks. The ML algorithms are found to be extremely helpful in these areas.
Applied Neural Networks in Mechatronics for Intelligent Engineering Applications
Authors: Maji Prasenjit , Dhibar Kunal
Published: September 2023

This chapter explores the application of neural networks in mechatronics for intelligent engineering applications. Mechatronics is an interdisciplinary field that involves the integration of mechanical, electrical, and computer engineering to develop advanced systems. Artificial intelligence (AI), and in particular, neural networks, have proven to be effective tools in enhancing the intelligence of mechatronic systems. The chapter provides an overview of mechatronics, AI, and neural networks, followed by a literature review discussing their applications and advantages. The results show that using neural networks in mechatronics improves the intelligence of mechatronic systems, resulting in better performance. The chapter indicates that neural networks have the potential to dramatically improve the intelligence of mechatronic systems and recommends future research directions. This study lays the groundwork for future research into the use of neural networks in mechatronics for intelligent engineering applications.
Case Study on the Social Impact of Intelligent Technologies
Authors: Nayak Rakesh , Dash Satyabrata , Gupta Praveen , Ghugar Umashankar
Published: September 2023

Artificial intelligence (AI) can enhance operational procedures by utilizing data, advanced algorithms, and faster computational abilities. These technologies, such as robotics, machine learning, and IoT, are increasingly prevalent in modern life. They learn, adapt, and improve based on their interactions with the environment and data. This chapter presents a unified strategy for investigating intelligent technologies, addressing four critical issues: variety, power, philosophy, and institutions. This approach enables promoters and designers to create technology that benefits society more effectively.
Combinations of Biotechnology and Nanotechnology in Industrial Wastewater Treatment
Authors: Kulkarni Sunil Jayant
Published: September 2023

Wastewater treatment by effective and economical methods is an area of investigations in environmental research. Biotechnological methods are used in the treatment technologies commonly in the form of activated sludge and trickling filters. Nanomaterials for sorptive removal of pollutants have advantages like high surface area, selectivity, and percentage removal. Silver and iron nanoparticles are used for treatment of effluent for contaminant removal. Termed as green synthesis, these biotechnology-based synthesis methods are environment friendly and sustainable. Various treatment technics such as membrane bioreactors, photocatalysis, adsorption, etc., can be made more effective and customized for specific pollutant using nanotechnology approach. The combination of these two methods termed as nanobiotechnology and bionanotechnology, based on transfer of direction advantages, has potential to address the issue of many biological and nonbiological contaminants in wastewater which cannot be effectively removed by other advanced methods.