bluuebunny/crossref_metadata_2025 huggingface dataset:
School bullying and learning in high school students
Authors: Bravo-Cedeño Janina Alexandra , Avila-Rosales Francisca Margarita
Published: July 2022

The research was based on the study of bullying school and its impact on the learning of the students of the Educational Unit June 5 #34, of the Canuto parish, of the Chone canton. According to initial inquiries and diagnostic tests, it was possible to identify peer violence as one of the problems that significantly affects the performance of schoolchildren. From this, relevant themes were established in the theoretical framework in relation to school bullying and learning, which allowed analyzing the causes and consequences of bullying in the teaching-learning process. The objective was to determine the level of bullying and its effects on children's learning. The research had a mixed approach, that is, qualitative and quantitative, of a documentary type, with the implementation of the deductive method and the application of the survey as a data collection technique to investigate the behavior of the students and the intervention processes by of teachers in cases of school violence. It was obtained as a result that school bullying has a negative impact on student learning, due to psychological conditions, so it is necessary that teachers and parents are prepared to deal with these situations.
Guia de comunicação em saúde. Boas práticas
Authors: Duarte Melo Ana G. S. , Ruão Teresa , Balonas Sara , Alves Marta , Ferreira Marta
Published: July 2022

Este guia de boas práticas estabelece as bases de comunicação do Plano Nacional de Saúde 2021-2030 (PNS 2021-2030), apoiando o planeamento estratégico para a saúde sustentável, do nível nacional ao local. A sua natureza é operacional e o seu objetivo é facilitar e otimizar o processo de comunicação do PNS 2021-2030, capacitando os profissionais de saúde e outros parceiros para uma comunicação mais estratégica, eficiente e assertiva. Poderá ser igualmente útil no processo de elaboração e implementação dos Planos Locais de Saúde no apoio ao planeamento da sua comunicação estratégica. Inclui linhas de enquadramento estratégico e orientações práticas sobre como desenvolver diversas vertentes da comunicação: pensar conceitos de comunicação, criar mensagens-chave, identificar públicos-alvo, desenhar um plano estratégico de comunicação, implementar ações, bem como desenvolver e utilizar diversos materiais de suporte e explorar áreas específicas da Comunicação.
Web-Based Alcohol and Sexual Assault Prevention Program With Tailored Content Based on Gender and Sexual Orientation: Preliminary Outcomes and Usability Study of Positive Change (+Change)
Authors: Gilmore Amanda K , Leone Ruschelle M , Oesterle Daniel W , Davis Kelly Cue , Orchowski Lindsay M , Ramakrishnan Viswanathan , Kaysen Debra
Published: July 2022

Background

Alcohol use and sexual assault are common on college campuses in the United States, and the rates of occurrence differ based on gender identity and sexual orientation.

Objective

We aimed to provide an assessment of the usability and preliminary outcomes of Positive Change (+Change), a program that provides integrated personalized feedback to target alcohol use, sexual assault victimization, sexual assault perpetration, and bystander intervention among cisgender heterosexual men, cisgender heterosexual women, and sexual minority men and women.

Methods

Participants included 24 undergraduate students from a large university in the Southwestern United States aged between 18 and 25 years who engaged in heavy episodic drinking in the past month. All procedures were conducted on the web, and participants completed a baseline survey, +Change, and a follow-up survey immediately after completing +Change.

Results

Our findings indicated that +Change was acceptable and usable among all participants, despite gender identity or sexual orientation. Furthermore, there were preliminary outcomes indicating the benefit for efficacy testing of +Change.

Conclusions

Importantly, +Change is the first program to target alcohol use, sexual assault victimization, sexual assault perpetration, and bystander intervention within the same program and to provide personalized content based on gender identity and sexual orientation.

Trial Registration

ClinicalTrials.gov NCT04089137; https://clinicaltrials.gov/ct2/show/NCT04089137
Web-Based Alcohol and Sexual Assault Prevention Program With Tailored Content Based on Gender and Sexual Orientation: Preliminary Outcomes and Usability Study of Positive Change (+Change) (Preprint)
Authors: Gilmore Amanda K , Leone Ruschelle M , Oesterle Daniel W , Davis Kelly Cue , Orchowski Lindsay M , Ramakrishnan Viswanathan , Kaysen Debra
Published: July 2022

BACKGROUND

Alcohol use and sexual assault are common on college campuses in the United States, and the rates of occurrence differ based on gender identity and sexual orientation.

OBJECTIVE

We aimed to provide an assessment of the usability and preliminary outcomes of Positive Change (+Change), a program that provides integrated personalized feedback to target alcohol use, sexual assault victimization, sexual assault perpetration, and bystander intervention among cisgender heterosexual men, cisgender heterosexual women, and sexual minority men and women.

METHODS

Participants included 24 undergraduate students from a large university in the Southwestern United States aged between 18 and 25 years who engaged in heavy episodic drinking in the past month. All procedures were conducted on the web, and participants completed a baseline survey, +Change, and a follow-up survey immediately after completing +Change.

RESULTS

Our findings indicated that +Change was acceptable and usable among all participants, despite gender identity or sexual orientation. Furthermore, there were preliminary outcomes indicating the benefit for efficacy testing of +Change.

CONCLUSIONS

Importantly, +Change is the first program to target alcohol use, sexual assault victimization, sexual assault perpetration, and bystander intervention within the same program and to provide personalized content based on gender identity and sexual orientation.

CLINICALTRIAL

ClinicalTrials.gov NCT04089137; https://clinicaltrials.gov/ct2/show/NCT04089137
Mobile Health Fitness Applications: A Quantitative Analysis of Features and Barriers to Routine Use and Data Sharing Acceptability (Preprint)
Authors: Razaghizad Amir , Malhame Isabelle , McKee Turney , Friedrich Matthias , Giannetti Nadia , Coristine Andrew , Johnson Anders , Ashley Euan , Hershman Steven , Struck Brooke , Krastev Sekoul , Pilat Dan , Sharma Abhinav
Published: July 2022

BACKGROUND

Mobile health (mHealth) fitness applications are increasingly being used for research and physical activity promotion; however, which features facilitate and impede routine engagement, a known predictor of application retention, are not well understood.

OBJECTIVE

To understand facilitators and barriers in the use of mobile applications relating to physical activity promotion.

METHODS

We distributed a pan-Canadian online questionnaire via the behavioral research platform Prolific.co to evaluate what features associated with the use and routine engagement (i.e., daily, or weekly use) of mHealth fitness applications, and attitudes about data sharing. Binary logistic regression was used to quantify the association between these endpoints and exploratory factors such as the perceived utility of various mHealth application features.

RESULTS

The survey received 694 responses. Most people were women (62%), the median age was 28 (range: 18–78), and most people reported current use of an mHealth fitness application (48%). The perceived importance of personal health (OR 2.40; 95%·CI 1.34–4.50) was the factor most associated with the current use of an mHealth fitness application. The feature most associated with routine engagement was the ability to track progress toward a goal (OR 5.10, 95%·CI 2.73–9.61) while the most significant barrier was the absence of goal customization features (OR 0.44, 95%·CI 0.25–0.81). The acceptance of sharing health data for research was high (56%) and privacy concerns did not significantly affect routine engagement (OR 0.81, 95%·CI 0.40–1.77). Results were consistent across race and gender.

CONCLUSIONS

Our results demonstrate that mHealth applications have the potential to be scaled across populations. Optimizing applications to improve self-monitoring and personalization could increase routine engagement and thus user retention and intervention effectiveness.
Influence of School Counsellors in Study Habit of Asolescents in Some Selected Schools in South – West Nigeria
Authors: Emike Ali Esther
Published: July 2022

Cousellors assists students in their study habits which include learning and concentration. Study habits have been a major concern for both students, school counsellors, parents and teachers. The work focuses on influence of school counsellors in the study habits of in-school adolescents in Nigeria. The study was carried out in secondary schools in south-west, the design adopted for the study was ex-post facto research design. Four hundred (400) participants were used for the study, these include (50) school counsellors, (50) were teachers, while ( 150 male and 150 female) were students. Two Questionnaires was used for the study, which was 30 items for Students Study Habits Questionnaire (SSHQ) and 50 items for Counselling Services for Students and Teachers questionnaire (CSSTQ). Testing for the study was at 0.05 level of significance. Findings of the study showed that school counsellors has impacted on study habits of adolescents in school using mainly learning, concentration, academic and personal-social counselling method to aid the students. Scholars recommend that school counsellors should encourage the use of library among students in schools.
«Мягкая сила» малых стран: опыт Монголии
Authors:   Banzarov Buryat State University (24A, Smolin St., 670000 Ulan-Ude, Russian Federation), Rodionov Vladimir A.
Published: July 2022

Introduction. The experience of recent decades shows small countries — though characterized by relatively limited foreign policy capacity — can defend their interests through ‘soft power’. Being obviously inferior to greater powers in military, political and economic aspects, small countries seek to compensate for their vulnerability with softer methods of influence. Nowadays, Mongolia is a classic case of a small country under the influence of such great powers as Russia, China, and the United States to successfully employ soft power tools. Goals. The article aims to identify where and how Mongolia uses soft power in its foreign policy. Materials and methods. The study primarily explores Mongolia’s official documents dealing with its national security and foreign policy, international initiatives of Ulaanbaatar, statements of Mongolian executives on relations with foreign partners, media materials. The employed research methods include the comparative, narrative, and retrospective ones. Results. There are three most promising lines for soft power in contemporary Mongolia’s foreign policy. The first one is that the country presents itself as a successful young democracy in the heart of Asia capable of becoming a model for a number of other small countries in the region. The second one is the policy of de facto neutrality manifested in refusal to deploy nuclear weapons and foreign military bases in Mongolian territory, as well as the active participation in UN peacekeeping operations. Finally, the third soft power line (to be perceived as one) is Ulaanbaatar’s active promotion of its mediation role to resolve urgent problems localized in Northeast Asia. Maintaining friendly relations with virtually all Northeast Asian states, Mongolia seeks to become a platform for international negotiations similar to that of Switzerland. Conclusions. Thus, soft power for Ulaanbaatar is an important two-sided tool supposed, firstly, to accelerate international influence and, secondly, to ensure national security and sovereignty.
Терминология традиционного свадебного комплекса у калмыков: шаһата
Authors:   Kalmyk Scientific Center of the RAS (8, Ilishkin St., 358000 Elista, Russian Federation), Sharaeva Tatyana I.
Published: July 2022

Introduction. The article deals with the term ‘shaγata’ (Kalm шаһата) to have denoted both the matchmaking process and the young woman as bride proper. The insight into materials on wedding rites of 19th-century Kalmyks and Oirat groups of Mongolia and China attests to that the term is rather widespread in traditional communities. So, the lexeme is virtually absent in present-day Kalmyk wedding discourse. Materials and methods. The study analyzes works to have examined traditional household activities and cultural phenomena of Kalmyks related to traditional wedding rites. Special attention is paid to publications exploring ethnic ritual cultures of Southern Siberia, Mongolia, and Xinjiang (China). The employed research methods include the comparative/historical, comparative proper, and structural/functional ones. Results. The analysis of materials dealing with the term ‘shaγata’ in the Kalmyk wedding tradition makes it possible to suggest a polysemantic meaning inherent thereto. So, it served to mark a number of aspects, such as a young woman’s status of bride, emergence of a new family, introduction of the woman into the community of relatives, property relationships between the two sides of the marriage, and numbers of wedding treats. In traditional Kalmyk society, the term was closely associated with nomadic lifestyle, traditions and centuries-old worldviews of nomads. The factors to have caused its disappearance are changes in economic patterns and modes of life, transformed ritual culture of Kalmyks.
Сочинение Цишии «Сиюй вэньцзяньлу»: сведения по истории народов Центральной Азии второй половины XVIII в.
Authors:   Tashkent State University of Oriental Studies (25, Shakhrisabz St., 100047 Tashkent, Republic of Uzbekistan), Karimova Natalya E. , Tulibayev Temur E. ,   Suleyman Demirel University (1/1, Abylai Khan St., 040900 Kaskelen, Republic of Kazakhstan)
Published: July 2022

Introduction. The article examines the Chinese written source Xiyu wenjian lu 西域闻见录 (‘Record of Things Seen and Heard in the Western Regions’) by the Manchu official Qishiyi (Chunyuan) and its data on the history and ethnography of Central Asian peoples in the mid-to-late 18th century. Goals. The work seeks to introduce new data on the history of Central Asia contained in Xiyu wenjian lu, analyze various copies and versions of the written source, and provide new information about the author of the composition. Materials and methods. The study explores the Japanese woodblock print edition of 1801 and one modern Chinese edition of 2016, translates some extracts. The work considers various works by Russian and foreign authors regarding the written source, employs the generalizing and comparative research methods, while historical/chronological analysis proves instrumental in investigating certain interesting facts from Xiyu wenjian lu. Results. The paper introduces into scientific circulation new translations of extracts from Qishiyi’s work that significantly supplement and expand data presented in the famous work of N. Ya. Bichurin (Hyacinth) titled ‘Description of Dzungaria and East Turkestan in Ancient and Present Times’. The article contains the most famous copies and versions of Xiyu wenjian lu. The biography of the author is supplemented with new facts of his life that have remained little-known to Russian-speaking researchers. Conclusions. The revealed factual materials from Xiyu wenjian lu show that the work of Manchu official Qishiyi contains original data on historical geography, socioeconomic life of Central Asian peoples, and political situation in the region. Despite its fame, Xiyu wenjian lu is to be thoroughly explored since lots of historical accounts from this source remain unexplored.
First Line Research Data Management for Life Sciences: a Case Study
Authors: Van Schayck J. Paul , Coonen Maarten
Published: July 2022

Modern life sciences studies depend on the collection, management and analysis of comprehensive datasets in what has become data-intensive research. Life science research is also characterised by having relatively small groups of researchers. This combination of data-intensive research performed by a few people has led to an increasing bottleneck in research data management (RDM). Parallel to this, there has been an urgent call by initiatives like FAIR and Open Science to openly publish research data which has put additional pressure on improving the quality of RDM. Here, we reflect on the lessons learnt by DataHub Maastricht, a RDM support group of the Maastricht University Medical Centre (MUMC+) in Maastricht, the Netherlands, in providing first-line RDM support for life sciences. DataHub Maastricht operates with a small core team, and is complemented with disciplinary data stewards, many of whom have joint positions with DataHub and a research group. This organisational model helps creating shared knowledge between DataHub and the data stewards, including insights how to focus support on the most reusable datasets. This model has shown to be very beneficial given limited time and personnel. We found that co-hosting tailored platforms for specific domains, reducing storage costs by implementing tiered storage and promoting cross-institutional collaboration through federated authentication were all effective features to stimulate researchers to initiate RDM. Overall, utilising the expertise and communication channel of the embedded data stewards was also instrumental in our RDM success. Looking into the future, we foresee the need to further embed the role of data stewards into the lifeblood of the research organisation, along with policies on how to finance long-term storage of research data. The latter, to remain feasible, needs to be combined with a further formalising of appraisal and reappraisal of archived research data.
Recepción oral interactiva
Authors: Hsiao Du-Lu Hsiao , Vieco Mila
Published: July 2022

Este artículo surge a partir de una experiencia didáctica con alumnos universitarios de ELE en Estados Unidos. El objetivo general es articular el concepto de mediación que figura en el Volumen complementario del Marco Común Europeo de Referencia para las lenguas: aprendizaje, enseñanza, evaluación (Consejo de Europa, 2020) con los factores de la dimensión afectiva para el desarrollo de la recepción y comprensión orales. Para alcanzar dicho objetivo, nos hemos servido de las nociones del enfoque orientado hacia la acción para el desarrollo en profundidad de una experiencia didáctica, que desemboca a su vez en una actividad lúdica en la cual se toman en cuenta los elementos afectivos en el proceso de aprendizaje de un idioma, en el trabajo colaborativo, en el papel del estudiante y del profesor como mediadores y en la creación de las condiciones para interactuar en una actividad significativa. A lo largo de este trabajo iremos desglosando el concepto de mediación, que es inherente a la recepción oral, e integraremos los elementos de la dimensión afectiva, ambos inseparables en el aprendizaje de una lengua extranjera. Finalmente, expondremos un ejemplo práctico en torno al concepto de mediación y su potencial para el desarrollo de la recepción oral.
Cuidados de enfermería desde la experiencia de personas que padecen trastornos alimentarios: Un estudio cualitativo
Authors: Corral Liria Inmaculada , Alonso-Maza Miriam , González-Luis Julio , Fernández-Pascual Sergio , Becerro-de-Bengoa-Vallejo Ricardo , Losa-Iglesias Marta
Published: July 2022

Los Trastornos de la Conducta Alimentaria suponen uno de los problemas más prevalentes en la sociedad, siendo los cuidados prestados por las enfermeras fundamentales para su recuperación. Es por ello necesario comprender la experiencia y visión que tienen los pacientes de los cuidados que reciben, para poder adaptarse a sus necesidades. Este estudio cualitativo propone aproximarse a la vivencia de cuidados de pacientes que padecen trastornos alimentarios desde un enfoque fenomenológico hermenéutico. Diecinueve pacientes de Alcalá de Henares (Madrid) colaboraron en la investigación a través de entrevistas en profundidad y relatos, que fueron grabados, transcritos y analizados temáticamente. Los resultados se agruparon en cuatro categorías: 1. Una ayuda inesperada, 2. Buscar raíces: encontrar el origen, 3. Derribar barreras y construir contrafuertes, 4. Entender el significado del Trastorno Conducta Alimentaria. Para los pacientes, las enfermeras son una figura tanto inesperada como relevante, mostrando la importancia de los aspectos psicológicos y emocionales, sociales y personales como reguladores de su relación con la comida, la imagen y la vivencia de la corporeidad. A través del estudio, se profundiza en la relación de cuidados entre enfermera y paciente, obteniendo una perspectiva de cuidados desconocida, que posibilita ampliar el conocimiento e individualizar los cuidados prestados.
Diseño de una intervención conductual para el control de peso en mujeres en edad fértil, con sobrepeso u obesidad, residentes de la Ciudad de México
Authors: Chavarría-Ornelas Paulina , De la Sierra de la Vega Luz Angélica , Hernandez-Bonilla David
Published: July 2022

Introducción. Conocer las barreras modificables que impiden la adherencia a tratamientos y, entender cómo las personas construyen y modifican sus decisiones y acciones en materia de salud, es un requisito indispensable para el abordaje del sobrepeso y la obesidad. Objetivo. Diseñar una intervención en salud que fomente el cambio de comportamientos que favorezcan la adherencia a un plan de alimentación y actividad física en mujeres en edad fértil. Material y métodos. Se realizó un análisis mixto que incluyó la revisión de expedientes clínicos en un consultorio privado de nutrición y la aplicación de entrevistas semiestructuradas a mujeres con intención y sin intención de perder peso, para identificar factores relacionados con el desarrollo de sobrepeso y obesidad. A partir de esto se diseñó una intervención en salud que busca fomentar el cambio de comportamientos para la pérdida de peso. Resultados. Se encontró que factores relacionados con actitudes, normas percibidas y agencia personal estructuran el cambio de comportamiento. Conclusiones. Las intervenciones para control de peso deberían buscar la adherencia terapéutica; fomentar el fortalecimiento y creación de redes de apoyo; identificar y abordar las barreras de adherencia; adaptarse a las necesidades del individuo y su entorno; y tener instrumentos evaluativos.
Velocidad al comer en personas con normopeso y sobrepeso-obesidad: un análisis experimental
Authors: Pérez-Ortiz Alejandro , Saenz-Pardo-Reyes Erika , Martínez-Moreno Alma Gabriela , Becerra-Gálvez Ana Leticia , Ortega-Luyando Mayaro
Published: July 2022

La obesidad se ha posicionado como uno de los principales problemas de salud pública en México. Su estudio involucra el análisis de la conducta alimentaria (CA) y de algunos de sus parámetros, como la velocidad al comer (VC). El objetivo de este trabajo fue comparar la VC, tamaño y número de mordiscos, número y patrón de masticaciones que realizan personas con normopeso (n = 5) y sobrepeso-obesidad (n = 4). Mediante un diseño cuasiexperimental de una sola evaluación, los participantes fueron video-grabados mientras comían una rebana de pizza (90 gramos). Se encontraron diferencias significativas en el tamaño del mordisco (Z = 2.357, p = 0.016) y el número de mordiscos (Z = -2.357, p = 0.016), con un tamaño del efecto pequeño en ambos parámetros (r = 0.29), lo que indica que las personas con sobrepeso-obesidad tienen un mordisco de mayor tamaño y realizan un menor número de mordiscos. México posee un ambiente obesogénico y una prevalencia alta en enfermedades crónico-degenerativas, que comparten a la CA como una de las principales causas de su génesis, continuar con el estudio de la VC y parámetros asociados permitirá sentar las bases para el diseño de intervenciones para la prevención de sobrepeso-obesidad.
Sector financiero y crecimiento liderado por las exportaciones. El caso de México, 1995‑2020
Authors: Lechuga Montenegro Jesús , Valdés Iglesias Edson
Published: July 2022

El objetivo de este trabajo es analizar el papel de la Inversión Extranjera Directa (IED) y el Crédito Bancario al Sector Industrial (CBSI) como factores de expansión del sector productivo en México durante el periodo 1995‑2020, en la transición de una economía con alta protección arancelaria a una economía abierta, bajo el postulado teórico generalmente aceptado de que la represión financiera impedía el libre flujo de la inversión; escenario desfavorable para una industria que empezaba a reconfigurarse en el marco de un modelo secundario exportador. Se empleó un modelo de cambio de régimen de Markov y un modelo de Vectores de Corrección de Error (VECM). Los modelos seleccionados no reflejan relación alguna de causalidad del sector financiero al sector real o viceversa.
Valor agregado y cadenas globales de las exportaciones entre México, Estados Unidos y Canadá
Authors: Murillo Villanueva Brenda
Published: July 2022

El objetivo del presente trabajo es descomponer por origen y destino el valor agregado contenido en las exportaciones bilaterales de los países integrantes del Tratado entre México, Estados Unidos y Canada (T-MEC) en los años 2005, 2010 y 2015, para identificar así, la proporción del valor agregado interno (VAI) que cada país exporta y el tipo de participación de cada uno en las cadenas de valor de la región. Se utilizó un modelo de insumo-producto en valor-agregado con las matrices interregionales de la Organización para la Cooperación y el Desarrollo Económicos (OCDE) para los años antes mencionados. De esta forma, los resultados obtenidos sugieren que las exportaciones mexicanas son las de mayor valor agregado extranjero (VAE); México y Canadá se han insertado de manera superficial a las cadenas de valor de la región, mientras que EU mantiene cadenas complejas con sus socios comerciales.
De la complejidad y su diversidad de concepciones
Authors: Díaz Alzate Magda Victoria , Durán Palacio Nicolasa María , Yepes Bustamante Mariana
Published: July 2022

El presente texto hace parte de las construcciones y reflexiones epistemológicas y metodológicas para la comprensión de los fenómenos psicosociales contemporáneos, sobre la preocupación por el reduccionismo y la simplificación que implica la mirada disciplinaria y, desde la perspectiva de la ciencia moderna, de los problemas investigativos psicosociales y políticos que nos convocan. A partir de esta preocupación, planteamos la construcción de diálogos-debates que nos permitan construir principios reflexivos para transitar hacia la comprensión de estos fenómenos desde una perspectiva de la complejidad. Por ello proponemos, en un primer momento, entender qué es la perspectiva de la complejidad y sus dos vertientes: pensamiento complejo (generalizada) y las ciencias de la complejidad (restringida). En un segundo momento, presentamos una aproximación a la construcción propia sobre complejidad, a saber: bio-psico-socio-política, acudiendo a la concepción compleja que tenemos de lo humano y de todo cuanto se circunscribe en la experiencia de la humanidad. Por último, consideramos que no podemos concluir, sino más bien presentar unas consideraciones finales que permitan entender la urgencia de transitar hacia otros paradigmas para la comprensión de los fenómenos humanos y no humanos, atendiendo a su complejidad misma y a la necesidad de pensarlos de manera compleja.
A Secure Detection Framework for ARP, DHCP, and DoS Attacks on Kali Linux
Authors: Dandotiya Monika
Published: July 2022

Abstract: Currently, the Internet is playing a vital role in educating students to boost industrial production. Various network components are employed to give a wide range of options and reliability for internet services. As the Internet continues to develop and expand, network security has become an issue. Many attempts to secure transmission at the application, transport, or network layers have failed because the data connection layer has not been appropriately managed. The DHCP and ARP protocols are critical to the network's ability to function correctly. They were not designed with security precautions in mind. So, they are susceptible to a variety of assaults, including the rogue DHCPS, DHCPS hunger, DHCP hijacking, host impersonation, man in the middle, and DDoS. Here, we are going to examine how Kali Linux handles the aforementioned threats. DHCP hunger and host impersonation attacks could not be prevented by the current ARP and DHCP security measures. LAN assaults may be prevented and mitigated by using a novel method to protect ARP and DHCP. ARP and DHCP communications are protected by the suggested approach, which ensures their integrity and validity. A comparison of the proposed plans' security and performance attributes is carried out and compared to those of similar schemes
Distribution Voltage and Output Power Sharing Control for DC Microgrids using Fuzzy Control and Gain-Scheduling
Authors: Radha P.
Published: July 2022

Abstract: A dc microgrid has gained popularity in recent years due to dc sources such as solar panels, fuel cells, and batteries. Interconnections can be made without AC to DC conversion, which improves system efficiency. Furthermore, when a utility grid is experiencing voltage sags or blackouts, A continuous supply of high-quality power is possible. Parallel operations have been proposed with several types of droop controls and microgrids, including DC and AC, were also used in some cases. Sharing the storage unit outputs via a gain scheduling scheme would result in unbalanced storage energy. Therefore, this research integrates fuzzy control with gain-scheduling techniques to create a new voltage control system that can both share energy and optimize power consumption. A microgrid consists of a variety of distributed energy sources used for the energy storage system. Fuzzy control is used to maintain power quality. Controlling fuzzy is based on different rules with the goal of maintaining constant droop.
Automated Domestic Vacuum Cleaner Robot
Authors: Sutar Abhishek
Published: July 2022

Abstract: Modern homes are moving to automation to provide convenience and reduce the time spent on household chores Vacuum cleaners make cleaning easier, but they are big, noisy, and bulky in everyday use.Therefore, vacuum cleaner technology needs to be improved to reduce these shortcomings. As of 2021, the Covid-19 pandemic continues, so keeping our living space clean and disinfecting is a top priority. People's workload is shifting from offline work in the office to online work at home, and the workload of many people has increased significantly, so some people may neglect to clean the environment. there is. In today's scenario, the whole family is busy with work and is supposed to clean the house. The cleaning robot helps you clean and disinfect the floor with the push of a switch. This also reduces the extra effort of housekeeping for cleaning purposes. Furthermore, we are enthusiastic about designing and developing an automatic cleaning robot "household automatic vacuum cleaner robot" that performs all cleaning and disinfection work with the push of a button.
IOT Based Patient Health Monitoring System
Authors: Bathe Manasi
Published: July 2022

Abstract: Patients are facing a problematic situation of unforeseen demise due to the specific reason of heart problems and attack which is because of non existence of good medical maintenance to patients at the needed time. This is for specially monitoring old age patients and informing doctors and loved ones. So, we are proposing an innovative project to dodge such sudden death rates by using Patient Health Monitoring that uses sensor technology and uses the internet to communicate to the doctor in case of problems. This system uses temperature, heartbeat,ECG, Saline-level sensor for tracking patient’s health. These sensors are connected to the Arduino-uno. The patient health is tracked with the controller which is in turn interfaced to an LCD display, bluetooth and WI-FI connection to send the data to the web-server (Thinkspeak).In case of any abrupt changes in patient heart-rate or body temperature alert is sent about the patient using IoT. This system also shows patients temperature ,saline level and heartbeat tracked live data with timestamps over the internetwork. Thus, a Patient health monitoring system based on IoT uses the internet to effectively monitor patient health and helps the user monitor themselves.
Image Captioning - A Deep Learning Approach
Authors: Jain Uday
Published: July 2022

Abstract: Image captioning is a brand-new study area in the science of computer vision. The primary goal of picture captioning is to create a natural language description for the input image. In recent years, research on natural language processing and computer vision has become increasingly interested in the problem of automatically synthesising descriptive phrases for photos. Image captioning is a crucial task that demands both the ability to create precise and accurate description phrases as well as a semantic understanding of the images. Long Short Term Memory (LSTM) is used to precisely organise data using the available keywords to form meaningful sentences. The authors of this research propose a hybrid system based on multilayer Convolutional Neural Networks to create a lexicon for characterising the visuals. The convolutional neural network employs trained captions to deliver an accurate description after comparing the target image to a sizable dataset of training images. We demonstrate the effectiveness of our suggested methodology using the Flickr 8K datasets.
Design and Development of Wheelchair Cum Stretcher Mechanism
Authors: Kumar Mohit
Published: July 2022

Abstract: At present in world, the number of handicapped individuals is increasing each year. Their mobility has become a serious problem and it poses a great challenge before the engineering and scientific community. It demands conceptualizing and developing effective solutions in the form of mobility aids. Various mobility aids play a crucial role to empower their disabilities and bringing them back to normalcy. These tools help them in transportation and also act as a viable substitute for physical walking in indoor and outdoor environments. Out of all the equipment, the most common are stretcher and wheelchair. Wheelchair finds its usage in hospitals, railway stations, airports, shopping malls, and even in household activities. Primarily it is used in hospitals along with stretchers. Owing to its large-scale application in commercial and domestic purposes, it needs a modification in terms of flexibility and interconversion ability so that the problems which are arising in individual devices can be eliminated and particularly it will be more beneficial in medical industries. This paper presents an idea about developing such a mechanism so that we can integrate the advantages of both wheelchair and stretcher. It should be ergonomically designed and all the safety standards should be met. This paper also reviews the various areas of development made in the past about mobility aids for the comfort of both patients and hospital staff
Leaf Disease Detection Using Deep Learning
Authors: Rafay Syed Abdul
Published: July 2022

Abstract: Diseases in plants cause major production and economic losses as well as reduction in both quality and quantity of agricultural products. Now a days, plant diseases detection has received increasing attention in monitoring large field of crops. Farmers experience great difficulties in switching from one disease control policy to another. The naked eye observation of experts is the traditional approach adopted in practice for detection and identification of plant diseases. In this project, we study the need of simple plant leaves disease detection system that would facilitate advancements in agriculture. Early information on crop health and disease detection can facilitate the control of diseases through proper management strategies. This technique will improves productivity of crops.
Design a Simulation of Multilevel Inverter for Reduction of Harmonics for Grid Connected PV System
Authors: Metkar Govind
Published: July 2022

Abstract: The existing topologies, Multilevelinverters acts as a promising solution for medium voltage, high power applications due to their modularity and reduced voltage stress across the power switches. They are becoming popular due to reduced voltage stress of the power switches and low THD. Among the different multilevel configurations, H bridge multi-level inverter (HBMLI) is found to beattractive for grid connected PV applications. H Bridge Multilevel Inverters (HB-MLI) are being considered as the best choice for grid connected Photovoltaic (PV) systems since they require several sources on the DC side. By means of high-quality output with less harmonic distortion is obtained compared to a two-level inverter. Different levels of output viz. three level is examined and conclusions are drawn mainly based on the number of switches andTotal Harmonic Distortion (THD). The main advantages of the multilevel inverter are that the regulation of the DC buses is simple. More number of levels results in reduced THD and nearly sinusoidal output. Simulation is performed using Matlab/Simulink.
Dynamic Price Prediction using IBM Watson Studio
Authors: H J Srujan
Published: July 2022

Abstract: Many companies like Ola, Uber, etc., uses Artificial Intelligence and machine learning technologies to find the solution of accurate fare prediction problem. We are using random forest regression algorithm, which is useful for prediction modeling to get the most accurate value. The project will be helpful to those, who are involved in fare forecasting. In previous era, the fare was only dependent on distance, but with the enhancement in technologies the cab’s fare is dependent on a lot of factors like time, location, number of passengers, traffic, number of hours, base fare etc. The project is based on Supervised Learning whose one application is prediction, in machine learning. The project aims to study the predictive analysis, which is a method of analysis in machine learning
Design and Analysis of a Heavy Vehicle Leaf Spring
Authors: A Lakshmanan
Published: July 2022

ABSTRACT: Decreasing weight while expanding or keeping up quality of items is getting the chance to be very imperative research issue in this present day world. Composite materials are one of the material families which are pulling in analysts and being arrangements of such issue. In this paper we depict outline and investigation of composite leaf spring. The goal is to think about the stresses and weight sparing of composite leaf spring with that of steel leaf spring. The plan requirement is firmness. The Vehicle Industry has awesome enthusiasm for supplanting of steel leaf spring with that of composite leaf spring, since the composite materials has high quality to weight proportion, great consumption resistance. The material chose was glass fibre fortified polymer (E-glass/epoxy), carbon epoxy and graphite epoxy is utilized against regular steel. The outline parameters were chosen and dissected with the goal of limiting weight of the composite leaf spring when contrasted with the steel leaf spring. The leaf spring was displayed in catiav5r20 and the investigation was finished utilizing ANSYS 17.02 programming.
Attack and Anomaly Detection in IoT Sites Using Machine Learning Techniques
Authors: Shaikh Aziza Khalilahmed
Published: July 2022

Abstract: A growing problem in the IoT space is the attack and anomaly detection in the infrastructure of the Internet of Things (IoT). Every domain is using IoT infrastructure more and more, and with that use comes a surge in risks and attacks against those infrastructures. Such attacks and anomalies that can lead to an IoT system failure include Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying, and Wrong Setup. Logistic Regression (LR), Decision Tree (DT) and Random Forest (RF) are the machine learning (ML) methods that have been employed in this. Accuracy, precision, recall, f1 score, and area under the receiver operating characteristic curve are the evaluation measures used in performance comparison. For Decision Tree and Random Forest, the system received test accuracy results of 99.4 %. Despite the same accuracy of these algorithms, other criteria show that Random Forest performs significantly better.
COVID-19 Pandemic and Tourism Industry: Impact and Reviving strategies
Authors: Yadav Ajay
Published: July 2022

Abstract: COVID-19 pandemic has a negative impact not only on the Indian economy but on other countries’ economies. The tourism industry has significantly contributed to the economy of our nation. But during the COVID-19 pandemic tourism industry crashed and was amongst the most badly affected sectors of the economy. This study aims to check the impact of COVID-19 on the tourism industry and identify the revival strategies for the tourism industry from COVID-19 pandemic impact. In the present study four factors are taken for resilience building of the tourism industry: government role, technological innovation, confidence among employee and consumer and local belongingness. Secondary data collected by official databases, journals, reports and websites, etc. was used to study the impact of COVID-19 on the tourism industry and suggest strategies to overcome it. The result reveals that the Indian tourism industry is highly affected by the pandemic. The number of tourists and the foreign exchange to the tourism industry has dropped nearly 90 to 95 percent during the pandemic. It shows a huge downturn in the tourism industry. Tourism industry used to provide 330 million jobs worldwide by the year 2019 which is equivalent to 10.3 percent of global employment (International Labor Organization, 2020). ILO estimated 305 million jobs lost due to global pandemics. After the first wave of pandemic in India, the tourism industry started to bloom but the second wave of COVID-19 has again brought a downfall in the Indian tourism industry. The central and state governments need to devise a number of strategies for reviving the tourism industry from the pandemic.
Indian Paper Currency Recognition with Audio Output System for Visually Impaired based on Image Processing using Transfer Learning
Authors: V Chidanandan
Published: July 2022

Abstract: We give an outline of camera-based computer vision technology in this paper. It can aid those who are not visually blessed in instantly identifying paper currency. For those who are blind or visually challenged, an effective paper money detection algorithm should have the following qualities: 1) Complete precision; and 2) adaptability in a range of circumstances in various environments and emergence. Many of the currency identification algorithms in use today are constrained to specific situations. We suggest a deep learning strategy focused on high accuracy in this project. This method works well for gathering more class-specific data and is better at handling partial closure and viewpoint changes. Evaluation of transfer learning also demonstrate its efficiency in coping with visual rotation, measures, and illumination changes.
Smart Mathematics Tutor Using Machine Learning
Authors: G M Dr. Roopa
Published: July 2022

Abstract: A study has found that students have lack of interactive learning and does not show much interest in learning things. Interactive Learning is a pedagogical approach that incorporates social networking and urban computing into course design and delivery. Interactive Learning has evolved out of the hyper-growth in the use of digital technology and virtual communication, particularly by students. To solve the above-mentioned problem, we are building a GUI which helps the students in learning maths and they can easily remember all the formulas. They can draw the shapes in the application which recognizes the shape gives all the related information like list of formulas. This helps the students to learn interactively.
Theoretical value for the strong coupling constant
Authors: Pellis Stergios
Published: July 2022

In this paper we will study the strong coupling constant. The
recommended theoretical value for the strong coupling constant is
αs=Euler’s number/Gelfond’s constant. It will turn out that this value
is the key that solves many problems of Physics. Τhey will be found a
total of ten formulas for the strong coupling constant. All these
equations prove that the value of the strong coupling constant depends
on the energy scale. First we will find the beautiful unity formulas
that connect the strong coupling constant and the fine-structure
constant. This equation is the simple unification of the strong nuclear
and electromagnetic force. It will be presented the mathematical
formulas that connect the dimensionless physical constants with the
strong coupling constant. From these equations we reached the formula of
the unification of the strong nuclear,electromagnetic and the
gravitational force. Also we will find the formula for the Gravitational
constant with exact numerical value. Finally we will be presented the
formula for the cosmological constant. This unity formula is a simple
analogy between atomic physics and cosmology.
Novel gene rearrangement in the mitochondrial genome of Pisidia serratifrons (Anomura: Galatheoidea: Porcellanidae) and phylogenetic associations in Anomura
Authors: LYu Jiayin , Dong Xiangli , Li jiji , Ye Yingying , Xu Kaida , Guo Baoying
Published: July 2022

To improve the taxonomy and systematics of Porcellanidae within the
evolution of Anomura, we describe the complete mitochondrial genomes
(mitogenomes) sequence of Pisidia serratifrons, which is 15,344 bp in
size, contains the entire set of 37 genes, and has an AT-rich region.
The genome composition showed a high AT content of the mitogenomes was
74.29%, and exhibited a positive AT-skew (0.017) and a negative GC-skew
(-0.246). Compared with the pan-crustacean ground pattern, at least five
gene clusters (or genes) are significantly different with the typical
genes, involving eleven tRNA genes and four PCGs, and the tandem
duplication/random loss and recombination models were used to explain
the observed large-scale gene rearrangements. The phylogenetic results
showed that all Porcellanidae species clustered together as a group with
well supported. Most Anomura superfamilies were found to be
monophyletic, except Paguroidea. In general, the results obtained in
this study will contribute to a better understanding of gene
rearrangements in Porcellanidae mitogenomes and provide new insights
into the phylogeny of Anomura.