bluuebunny/crossref_metadata_2025 huggingface dataset:
Using video calls to study children’s conversational development: The case of backchannel signaling
Authors: Bodur Kubra , Nikolaus Mitja , Prévot Laurent , Fourtassi Abdellah
Published: November 2022

Understanding how children’s conversational skills develop is crucial for understanding their social, cognitive, and linguistic development, with important applications in health and education. To develop theories based on quantitative studies of conversational development, we need (i) data recorded in naturalistic contexts (e.g. child-caregiver dyads talking in their daily environment) where children are more likely to show much of their conversational competencies, as opposed to controlled laboratory contexts which typically involve talking to a stranger (e.g., the experimenter); (ii) data that allows for clear access to children’s multimodal behavior in face-to-face conversations; and (iii) data whose acquisition method is cost-effective with the potential of being deployed at a large scale to capture individual and cultural variability. The current work is a first step to achieve this goal. We built a corpus made of video chats involving children in middle childhood (6-12 years old) and their caregivers using a weakly structured word-guessing game to prompt spontaneous conversation. The manual annotations of these recordings have shown the similarity of the frequency distribution of multimodal communicative signals from both children and caregivers.As a case study, we capitalize on this rich behavioral data to study how both verbal and non-verbal cues contribute to the development of conversational coordination. In particular, we looked at how children learn to engage in coordinated conversations not only as speakers but also as listeners by analyzing children’s use of backchannel signaling (e.g., verbal 'mh' or head nods) during these conversations. Contrary to results from previous in-lab studies, our use of both more natural/spontaneous conversational settings and more adequate controls allowed us to reveal that school-age children are strikingly close to adult-level mastery in many measures of backchanneling. Our work demonstrates the usefulness of recent technology in video calling for acquiring quality data that can be used for research on children’s conversational development in the wild.
Further Application of Delay Discounting on Special Educator Decision-Making
Authors: White Allison N. , Brodhead Matthew Thornton , Reed Derek D , Walker Ashley N.
Published: November 2022

Special education teachers often make decisions about interventions to help reduce student problem behavior. The length of time to reduce problem behavior may affect how special education teachers decide the type of behavioral treatment to use. This study examined the effects of delays to treatment outcomes on special education teacher decision making. Participants completed an online hypothetical delay discounting task based on the behavioral economic theory that the value of an outcome (e.g., treatment outcome) diminishes as the delay to that outcome increases over time. Our results indicate that most special education teachers discount delays in treatment effects, suggesting that special education teachers may prefer interventions that result in more immediate behavior change. Implications for future research and consultative practice are discussed.
Ayurveda management of Iatrogenic Hypothyroidism: A Case Study
Authors: Kundra Latika , Verma Poonam , Jena Swarnakant , D Prasanth , Bhatted Santosh
Published: November 2022

Introduction: Iatrogenic Hypothyroidism is permanent condition, once evoked by treatment resulting in permanent thyroid damage, or reversible, when caused by the treatment which interfere the thyroid function. Nowadays Radioactive iodine therapy is more preferably introduced for the treatment of Hyperthyroidism. It has proved to be effective, inexpensive and convenient for patients and wide thought as a treatment of choice. It destroys the cells within the thyroid gland that typically leads to hypothyroidism. In contemporary medicine still the management of Hypothyroidism remains unsatisfactory. Excessive hormonal replacement therapy carries potential to long term complications. Hence the present case study was taken to evaluate the efficacy of Shodhana therapy (Virechana karma) in the management of Iatrogenic hypothyroidism. Material and method: In a present case study a 30-year-old male patient diagnosed as a case of Iatrogenic hypothyroidism managed through Shodhana therapy (Virechana Karma). Assessment was made on the basis of change in TSH and T4 level along with relief in subjective parameter after the Shodhana therapy (Virechana Karma). Result: There was significant relief in weight gain (Reduced from 60 kg to 56 kg), BMI (25.9 to 24.2 kg/m2 ), Reduction in Hair fall from average 12.4 to 10.0 (Assessed by the hair comb test), disturbance in sleep (Pittsburgh Sleep Quality Index changes 13 to 5) and TSH level (27.64 to 4.2 uIU/ml). Conclusion: The observartion made from this study suggests that Shodhana therapy along with Udwartana and Takradhara can provide an efficient result for managing Iatrogenic Hypothyroidism.
Microbial Flora and Their Antibiotic Susceptibility in Oral and Maxillofacial Infections at BPKIHS: A Prospective Observational Study
Authors: Dongol Ashok , Bhattarai Narayan Raj , Yadav Anjani Kumar , Acharya Pradeep , Mahato Vivek Kumar , Jaisani Mehul Rajesh
Published: November 2022

Background: We aimed to find out the causative bacteria involved in oral and maxillofacial infections, and to evaluate the antibiotic susceptibility by pus culture and sensitivity test.
Methods: This prospective observational study conducted over a one- year period enrolled all 41 consecutive patients with features of oral and maxillofacial infections visiting the oral and maxillofacial surgery clinic at the university hospital of B. P. Koirala Institute of Health Sciences. Pus was collected on a sterile syringe and sent to the microbiology laboratory. Pus samples were inoculated in 5% sheep blood agar and MacConkey agar and incubated at 37°C for 48 hours. Identification of the bacterial colony was done by gram staining and different biochemical tests. Antibiotic susceptibility tests were done by disc diffusion method on Mueller-Hinton agar as per CLSI guidelines.
Results: Out of 41 patients, 22 were male and 19 were female patients. The average age of the patients was 41.63 years. Odontogenic infection (17, 41.46%) was found to be the most common. Submandibular space (15, 36.59%) was the most common fascial space involved. The most common organism cultured was Enterococcus faecalis (13, 31.71%). The antibiotic susceptibility pattern of the isolates showed that 50% of the cultured organisms (n = 8) were resistant to Penicillin; five of them were Enterococcus faecalis and three were Staphylococcus aureus.
Conclusion: We found that Enterococcus faecalis as the common organism causing oral and maxillofacial infections with high resistance to Penicillin.
Orthodontic Management of Pseudo Class III Malocclusion: A Case Report
Authors: Chaudhary Nabin Kumar , Giri Jamal , Pokharel Prabhat Ranjan
Published: November 2022

Pseudo class III malocclusion is due to immature contact of incisors resulting in a forward shift of mandible. A 13-year-old male patient presented with the complaint of inability to bite properly with pseudo skeletal class III malocclusion, functional shift, and reverse overjet which was treated with fixed orthodontic treatment. The total treatment duration was 21 months in which correction of the discrepancy between centric occlusion and centric relation and improvement of the smile of the patient was achieved. Early and timely diagnosis of pseudo class III malocclusion will lead to a successful outcome with fixed orthodontic therapy.
Educational Intervention on Pediatricians’ Knowledge, Attitude and Practice on Child Oral Health: A Hospital Based Longitudinal Study
Authors: Shrestha Sneha , Koirala Bandana , Shah Gauri Shankar , Kumar Abhishek , Baral Dharanidhar
Published: November 2022

Background: Pediatricians provide multiple early childhood screenings and are in a privileged position to promote child oral health by enacting timely dental referrals. Our primary objective included assessing the pre- and post- educational intervention knowledge, attitude and practice of pediatricians on child oral health. The secondary objective included the assessment of prevalence of oral health problems in children attending Pediatrics out-patient department (OPD).

Methods: This one-year hospital based longitudinal study involved conveniently selected 400 children (6 months to 14-years-old) from Pediatrics OPD and 12 pediatricians (complete enumeration) from a university hospital, BPKIHS, Dharan, Nepal. Screening for oral health problems in children was performed. Pre- and post-educational intervention knowledge and attitude towards child oral health of the pediatricians were assessed using a validated questionnaire. The practice component was assessed through pre- questionnaire and pre- and post-intervention dental referral paper practice. Data analysis included descriptive statistics, chi-square and paired t-tests.
Results: Educational intervention significantly increased the knowledge score of the pediatricians but not their attitude (p = 0.72) or the paper dental referral practice. Oral health problems were observed in 59.3% of the children attending pediatrics OPD, dental caries being the most prevalent (49.9%).
Conclusion: More than half of the children attending pediatrics OPD had oral health problems. Educational intervention was effective in improving pediatricians’ knowledge but not their attitude and the paper dental referral practice.
Closing the Distance: Intermediality, Immediacy, and Intercultural Affect in Tetsuro Shigematsu’s Empire of the Son
Authors: Lynch Signy
Published: November 2022

Le présent article porte sur Empire of the Son, la pièce autobiographique de l’écrivain vancouvérois Tetsuro Shigematsu qui traite de la complexité de sa relation avec son père. Le texte révèle en quoi Shigematsu recourt à l’intermédialité comme stratégie pour sonder la distance interpersonnelle et émotionnelle qui les sépare. Grâce à une analyse détaillée de la production faisant appel aux théories de l’intermédialité et de l’affect interculturel, Lynch explore la façon dont Empire of the Son fait usage de médias pour créer des correspondances entre l’immédiateté technologique et la proximité interpersonnelle et interculturelle. L’autrice expose comment Shigematsu forge de telles comparaisons en vue de scruter et de déconstruire des notions telle la proximité et la distance, de sorte à souligner leur fonctionnement complexe au sein des relations interpersonnelles et interculturelles, surtout sur le plan affectif. Enfin, l’autrice explore ce que la relation entre l’interprète et le public ajoute à cette démarche, puisque la pièce met en scène des rapports interculturels et interpersonnels qui incitent le public à revoir ses présupposés et ses conceptions de la différence. Ce faisant, le public est appelé à déconstruire la binarité qui sépare le soi et l’autre, sur laquelle repose trop souvent la notion d’interculturalisme.
STEAM EDUCATION IN PROGRESS TECHNOLOGICAL TRAINING OF SENIOR STUDENTS
Authors:   Бердянський державний педагогічний університет, DANNIK L.
Published: November 2022

The article is devoted to the theoretical substantiation of aspects of the use of elements of creative activity in the forms of organization of the educational process, methods and means of training future engineers-pedagogues of the food industry. The use of elements of creative activity in the forms of organization of the educational process, methods and means of training future engineers-pedagogues of the food industry makes it possible to achieve the goal and solve specific didactic tasks regarding the preparation of future engineers-pedagogues of the food industry for creative professional activity, in particular, positive motivation, focus on the fulfillment of the main professional functions corresponding to certain types of professional activity and characterized by creative content; interest in finding non-standard ways of solving specialized tasks and practical problems in the field of professional activity; persistent desire to achieve expected results based on value guidelines, ethical norms, beliefs and professional attitudes. In the context of our study, the following active learning methods were chosen: non-imitation methods (discussions, brainstorming) aimed at motivating cognitive activity, communicating educational information, forming and improving professional skills and abilities, mastering best practices and monitoring learning results; simulation non-game methods (simulation exercises, analysis of specific situations and group trainings) aimed at simulating professional activity. The proposed forms of organization of the educational process, methods and means of training future engineers-pedagogues of the food industry with elements of creative activity contribute to the gradual increase of acquired educational achievements and ensure the transition of quantitative accumulation of knowledge, skills, and abilities into a new quality – readiness for creative professional activity. Key words: engineer-pedagogue, food industry, active methods, creative professional activity.
ORGANISATIONAL PARTICULARITIES OF EDUCATIONAL PROCESS IN A HIGHER EDUCATIONAL INSTITUTION UNDER MARTIAL LAW
Authors:   Бердянський державний педагогічний університет, DONCHENKO O. , PSHENYCHNA N. ,   Бердянський державний педагогічний університет, SEMENIAKO Y. ,   Бердянський державний педагогічний університет
Published: November 2022

The article deals with the problem of studying peculiarities of educational process in the higher educational institution under martial law. The authors define the problem of identifying the peculiarities of educational process under martial law as extremely actual. It is noted that for the students who received higher education during COVID-19 remotely, it will be significantly easier to adaptat to new educational conditions. One of the main drawbacks of distance learning was the merger of higher education students with classmates and teachers. As a result, absence of group processes, difficulty in forming close relationships, and unity. In order to study the psycho-emotional state of the students of the higher educational institutions, as well as the peculiarities of the educational process they observe in connection with the military situation, a survey of students of Berdyansk State Pedagogical University was conducted. The researched students gave an answer as for their own location, assessed their own feeling of secutiry, and dominant emotional experiences, identified their the source of support, analyzed their success and dependence on the military, and identified the main learning difficulties during the war. Special attention was given to psychological condition of respondents. According to the results of the survey, the authors identified a condition aimed at solving the task of adapting the educational process to the conditions of the military situation by selecting appropriate methods that will help minimize traumatic experience. To minimalize the stress threshold, negative emotional and psychological condition and to continue educational process according to educational programs. It was offered to plan all stages of education in new conditions in detail; get acquainted with new organizational moments of the educational applicants; care about the emotional state of all participants of the educational process; take into account the impact of stress on human cognitive abilities; create educational road maps for war-affected; establish the psychological service to help the students and pedagogical workers overcome the impact of traumatic events on psychological conditions, etc. Key words: Educational process, military situation, poll, higher education applicants, adaptation, psychological condition.
Pronomes plenos e clíticos pronominais no português brasileiro e no francês
Authors: Oliveira Luciano de
Published: November 2022

Pronomes clíticos correspondem, geralmente, a argumentos verbais e dependem de uma base verbal para se apoiar, sendo esta uma das causas para não poderem ocorrer como elementos isolados em uma frase, ao contrário do que pode ser verificado para os pronomes plenos e os DPs e PPs. Ainda em relação a estes elementos, que podem representar igualmente argumentos verbais, os clíticos pronominais apresentam outros comportamentos sintáticos próprios, como a impossibilidade de movimento para uma posição de tópico. Considerando os pronomes clíticos, o português brasileiro (PB) apresenta divergências em relação à gramática tradicional, a qual toma como norma a variedade europeia da língua; uma dessas diferenças é a perda dos pronomes clíticos acusativos de terceira pessoa, os quais não pertencem mais à língua-I da(do) falante brasileira(o). No francês, entretanto, os clíticos pronominais de terceira pessoa são muito produtivos, independentemente do caso sintático considerado. Também diferentemente do PB, o francês possui clíticos pronominais nominativos, locativos e partitivo/genitivo. Além disso, até mesmo na língua falada, combinações de pronomes clíticos são usadas no francês, o que não se verifica no PB. Todas essas diferenças podem representar dificuldades para a aquisição de francês por brasileiras(os).
Contexts for null subjects in contemporary Brazilian Portuguese
Authors: Ayres Mônica Rigo , Othero Gabriel De Ávila
Published: November 2022

Sujeitos nulos têm sido largamente investigados em línguas naturais. O português brasileiro (PB), em particular, desperta muito interesse pelo assunto, pois aparentemente o PB está em processo de mudança, de uma língua pro-drop para uma língua pro-drop parcial (cf. BIBERAUER et al., 2010; HOLMBERG et al., 2009; DUARTE; MARINS, 2021; SOARES et al., 2019). Neste artigo, investigamos sujeitos nulos em PB assumindo que sujeitos referenciais nulos são usados apenas em contextos “marcados”, específicos, enquanto sujeitos expressos são a estratégia “não marcada”, mais frequente. Analisamos um corpus contemporâneo de PB falado e encontramos 1.252 ocorrências de sujeitos nulos. Em seguida, apresentamos quatro fatores que são tradicionalmente conhecidos por desempenhar algum papel na determinação dos contextos ótimos para sujeitos nulos em PB (e várias outras línguas). Argumentamos aqui que todos esses quatro fatores são necessários e suficientes para explicar todas as ocorrências de sujeito nulo em qualquer corpus de PB falado contemporâneo. Analisamos todas as 1.252 ocorrências de sujeitos nulos no corpus e conseguimos explicar 99,8% dos dados, o que nos leva a uma melhor compreensão do fenômeno do sujeito nulo no PB, pelo menos que tange à identificação de seus contextos de licenciamento.
Multiclass voice commands classification with multiple binary convolution neural networks
Authors: Szkoła Jarosław
Published: November 2022

In machine learning, in order to obtain good models, it is necessary to train the network on a large data set. It is very often a long process, and any changes to the input dataset require re-training the entire network. If it is necessary to extend the model with new output classes, the use of the existing model becomes problematic, and in the case of extension with new decision classes, it is required to re-train the entire model based on all data. To improve this process, a new neural network architecture was proposed, which allows for easy extension of the already existing models with new classes, without the need to re-train the entire network, as well as the time needed to train the sub-model is much shorter than the time needed to re-train the entire neural network. The presented network architecture is designed for data that has at least two decision classes.
Rehabilitation and Revitalization of Slum Area: A Case Study of Tower Market Hyderabad
Authors: Marvi Hina , Soomro Mehnaz , Das Gopal
Published: November 2022

Slum improvement is viewed as an efficient way to combat urban poverty. Through the survey at Tower market Hyderabad,it is determined that the site which is chosen to be reported is severely damaged due to urban encroachment. This factor is influencing the legal area by illegal means, and the need to rehabilitate. Lack of monitoring and gradually increasing population plus migration and other growth rate factors are encouraging the urban encroachment which has become the reason for conversion of this site into a declared blight area. This reported work is the first research being done on this site highlighting the major issue of the area. The work is itself exposed to the betterment of the site by dragging the eyes of related departments and government sectors towards such major issues. Problems regarding encroachment, revitalization of houses, transportation and congestion issues, environmental approaches, etc. are being covered in this report mainly.
SWOT Analysis Of Religious Tourism: A Case of Sikh Gurdwaras in Pakistan
Authors: Khilat Faiqa , Jamil Farah , Mujahid Beenish
Published: November 2022

Pakistan has a diverse variety of monumental buildings which includes mosques, tombs,shrines and Gurdwaras. Every year, thousands of Sikh pilgrims are attracted to their Gudrwaras to satisfy their religion which is located mostly in southern Punjab, Pakistan. These monumental Gurduwars reflect the Sikh culture and heritage in terms of religious tourist margins. These historical assets have firm potential that could serve for tourism development, conservation and preservation of these and thus moving toward sustainable solutions. The objective of this research is to analyze the strengths,weaknesses, opportunities and threats of Sikh religious tourism in Pakistan. The research methodology adopted for this research was qualitative and data was collected through formal interviews of officials of the Evaccu Trust Property Board (ETPB), Government of Pakistan. The results showed that Southern Punjab, Pakistan has a strong potential for religious tourism and if promoted can help in the socioeconomic development of a country.
Impact of Macroeconomic and Bank-Specific Factors on Liquidity of Commercial Banks in Pakistan
Authors: Khan Muhammad Mahmood Shah , Abidin Muhammad Zain ul , Abid Sheikh Khurram
Published: November 2022

Financial system stability has been gaining crucial consideration on both, national and international levels in terms of structural, institutional and macroeconomic aspects. Money as a medium of exchange and banks as an intermediary cannot be comprehended by visualizing a world without them. It can be observed that old modalities of the banking system have been replaced by many innovations in the new millennium. To evaluate the soundness and steadiness of a banking sector, it is considered imperative to associate the banking system with its liquidity position. Therefore, this research is conducted to determine the influence of bank-specific and macro environmental variables on commercial banks' liquidity in Pakistan. The data is taken from 20 commercial banks over the period2009 to 2018. Different panel data regression models are used. The study found that leverage (LEV) and capital adequacy ratio (CAR) have a negative but significant impact on the liquidity of the banks.Moreover, the exchange rate (FER) was found to have a positive and significant effect on the liquidity of commercial banks. Furthermore, there is insignificant relation between asset size (SIZE), government deficit financing (GDF) and inflation rate (INF) with the bankâÂÂs liquidity.
The Effects of Motivational Level of Prospective Teachers on their Academic Achievement and Self-esteem at the University Level
Authors: Nadeem Rubina , Hashmi Muhammad Amir
Published: November 2022

Students and teachers can use different ways to learn when their motivation is high, moderate, or low. The main objective of this descriptive study was to find out how high levels of motivation affect the performance of the prospective teacher. A survey method was used to gather data. Prospective teachers of the University of Punjab Lahore were included in the sample population .sample size was 560 prospective teachers. We used a questionnaire to find out about different ways to get people interested in learning. SPSS was used to look at the data. The results showed that a high level of motivation among future teachers was positively and significantly linked to all academic achievements and self-esteem, while a moderate level of motivation was also positively and significantly linked to other academic achievements. The results of this study may also persuade policymakers to take into account new motivational factors when hiring new teachers.
Exploration of Drainage and Sanitary Conditions at Mithi, Sindh, Pakistan
Authors: Das Gopal , Marvi Hina , Soomro Mehnaz
Published: November 2022

In developing nations, access to essential utilities presents a dual problem, particularly in rural areas. A little over 1.3 billion people lack access to electricity, while 2.6 billion rely on traditional biomass cooking methods. It is not possible to solve the current energy crisis solely by promoting particular technologies or switching to alternative fuels. Mithi, one of the most developed towns in Pakistan, has recently experienced significant growth in development. The city has experienced rapid growth as a result of the large influx of residents from the district of Tharparkar. There is a need to explore the condition of the drainage system in Mithi and to describe sanitary conditions to make people fit and healthy. It has been analyzed and found the different problems related to drainage and sanitation system in Mithi and surrounding areas.
Paediatric Ovarian Dysgerminoma: A Case Report
Authors: Adhikari Siddhant , Joti Santosh , Chhetri Parvat Kuwar
Published: November 2022

Dysgerminoma is the most common malignant germ cell tumour of the ovary. Abdominal pain, abdominal distention, and the presence of a palpable mass are common symptoms at presentation. This is usually detected in youth, before the age of 20 years. Ovarian or adnexal tumours are very rare in patients below the age of 18 years, most of them being functional cysts, only 10% being malignant. Here is a rare case of an 8 years old girl with dysgerminoma who underwent right-sided salpingo-oophorectomy for unilateral involvement with conservation of fertility and now the patient is on chemotherapy as the tumour metastasized to the pre-aortic lymph node.
Apresiasi Sastra melalui Media Pop-Up untuk Pembentukan Karakter dan Literasi Budaya
Authors: Aris Qori Islami , Syam Essy , Fauzi Mohd
Published: November 2022

Kegiatan pengabdian kepada masyarakat ini diberi judul “Apresiasi Sastra melalui Media Pop-Up untuk Pembentukan Karakter dan Literasi Budaya”. Kegiatan pengabdian ini memiliki tujuan sebagai berikut; 1) memberikan pelatihan dalam membuat Pop-Up sebagai sebuah media pembelajaran kreatif, 2) memberikan motivasi kepada peserta didik untuk mengenali dan mengapresiasi karya sastra, 3) meningkatkan kreativitas peserta didik dalam mengapresiasi karya sastra, 4) memotivasi peserta didik untuk menghargai dan mengembangkan karya sastra, dan 5) membentuk karakter peserta didik melalui apresiasi sastra sesuai dengan nilai-nilai agama dan budaya. Target kegiatan pengabdian ini adalah peserta didik di SMA Negeri 4 Pekanbaru yang berjumlah 15 orang. Kegiatan ini dilakukan dengan metode ceramah dan praktik (latihan). Metode ceramah berupa pemaparan dan penjelasan materi berupa karya sastra, proses mengapresiasinya, dan media Pop-Up. Sedangkan metode yang digunakan berupa demonstrasi apresiasi sastra melalui media Pop-Up. Penyampaian materi dilakukan oleh dosen yang tergabung dalam tim pengusul kegiatan pengabdian ini.

 

Kata kunci: Apresiasi Sastra, Media Pop-Up, Pembentukan Karakter, Literasi Budaya
Kemampuan Deklamasi Puisi pada Siswa SMA Negeri 2 Kampar Kiri Tengah di Penghidupan Kecamatan Kampar Kiri Tengah Kabupaten Kampar
Authors: Amanan  , Hermansyah  , Juswandi
Published: November 2022

Deklamasi Puisi comes from the Latin 'declare or declaim' which means reading the work in the form of poetry or rhymes accompanied by gestures and songs. Devoting poetry or short story has the meaning of reading. Reading poetry is a form of appreciation and artistic expression. This service activity is held for students of SMA Negeri 2 Kampar Kiri Tengah. Riau Province Government Requires this Reformation has proclaimed to foster and develop Malay culture and Malay culture (BMR) This activity to be held is to improve the ability to recite poetry which is expected to help students at SMA Negeri 2 Kampar Kiri Tengah to interpret/understand, train and practice good poetry reading, so that students at SMA Negeri 2 Kampar Kiri Tengah, with The arrival of the service team from the Faculty of Cultural Sciences, Lancang Kuning University is expected to help the school and especially the students of SMA Negeri 2 Kampar Kiri Tengah to get to know Riau Malay Culture, especially the ability to pronounce.
Formative learning and its characteristics applied in the classroom in university students
Authors: Ortega Tapia Irma Gardenia , Rendón Guerra Gina del Pilar , Racines Macias Ruth Elizabeth , Plúa Panta Karina Alexandra
Published: November 2022

Formative learning is considered as part of the improvement of the education process in students at the university and thus develop their skills in their profession, the present research topic aims to identify how the formative learning process is performed and what are the characteristics applied in the classroom, sampling was performed by selecting 369 students, with the application of a structured survey with 10 closed questions, 86% like to update their knowledge and this has allowed 71% of students to learn management of reliable sources and the application of APA standards.
Didactic proposal for the teaching of classical mechanics through microhistories.
Authors: Molina Jiménez Franklin Edmundo , Goyes Chulde Lucia Antonieta , Guerrero Soto Diego Armando
Published: November 2022

Physics learning can be performed in many ways. The objective of this research is to determine the influence of the use of microhistories in the teaching of Classical Mechanics in the first and second year students of the General Unified High School of the FEBE Educational Institution. The research is of an exploratory-descriptive level through a documentary and field research, for the collection of information an instrument was elaborated composed of four activities that are governed to the ERCA learning cycle. At the end of the research it was concluded that micro-stories do contribute to improve learning, establishing that with their use the student generates significant learning.
MODELO DE CINCO-FATORES DE FAMA E FRENCH E O RISCO DE INCERTEZA ECONÔMICA NO MERCADO ACIONÁRIO BRASILEIRO
Authors: Quinteiro Luís Gustavo do Lago , Medeiros Otávio Ribeiro de , Niyama Jorge Katsumi
Published: November 2022

O objetivo deste artigo é propor e testar um modelo de avaliação da influência da incerteza em relação à política econômica sobre o mercado acionário brasileiro a partir do arcabouço teórico do Modelo de Cinco-Fatores de Fama e French (FF, 2015), com a inserção de fator adicional representativo do risco de incerteza, em duas versões: com base no Índice de Incerteza Econômica (IIE-Br/Fundação Getúlio Vargas) e no Economic Policy Uncertainty – EPU (Baker et al., 2016). O modelo proposto, em ambas versões, demonstrou maior poder explicativo dos retornos dos 32 portifólios avaliados em relação ao modelo FF (2015), no período e amostra analisados. Verificou-se que os coeficientes dos fatores de incerteza (EPU e IIE-Br) mostraram-se significativos a até 0,05 em cerca de 75% dos portifólios, indicando a possibilidade de uso dessa metodologia como mecanismo para melhor compreensão do efeitos da incerteza no mercado brasileiro.
FACTORES DETERMINANTES DE LA IMPLEMENTACIÓN DE ACTIVIDADES DE INNOVACIÓN SOCIAL: EL CASO DE LAS EMPRESAS CHILENAS
Authors: GALVEZ-GAMBOA FRANCISO ANDRES , VALENZUELA-KELLER ANDRES ALEJANDRO
Published: November 2022

El objetivo del presente estudio es analizar los determinantes de la decisión de implementar actividades de innovación social en las empresas chilenas, utilizando un modelo de determinantes probit. Los hallazgos muestran que son factores relevantes los asociados a las experiencias de innovación previas, que las empresas tengan redes de cooperación con las universidades y la mejor cualificación de su capital humano. También, se muestra que el tamaño es un factor relevante que permite la comprensión de la innovación social en las empresas nacionales, notando una brecha entre las micro, pequeñas y grandes empresas.
EFECTOS DE LAS CARACTERÍSTICAS DEMOGRÁFICAS DE LOS ALTOS DIRECTIVOS Y EL SISTEMA DE CONTROL DE GESTIÓN SOBRE EL DESEMPEÑO DEL HOTEL
Authors: Bortoluzzi Daiane Antonini , Lunkes Rogério  João , Santos Edicreia Andrade dos , Monteiro Januário José
Published: November 2022

El objetivo del estudio es analizar los efectos de las características demográficas de los gerentes (género y educación) y del sistema de control de gestión sobre el desempeño de los hoteles. Utilizando modelos de ecuaciones estructurales, se analizaron los datos recopilados por cuestionario de 78 grandes hoteles en Brasil. Los resultados muestran que las características de los gerentes, como género y educación, determinan cómo se utiliza el sistema de control de gestión durante el proceso de toma de decisiones. Aún así, la evidencia confirmó que las características de los gerentes impactan en el desempeño organizacional si adoptan el uso de información gerencial de manera interactiva. La investigación contribuye a la literatura hotelera al sugerir que los hoteles inviertan en la capacitación de sus gerentes y brinden diversidad de género en la cima, así como en el uso de información gerencial para mejorar el desempeño financiero y no financiero.
LA INCIDENCIA DE LA ADOPCIÓN DE PRÁCTICAS DE GOBIERNO CORPORATIVO EN LAS RENTABILIDADES DE LAS SOCIEDADES ANÓNIMAS CHILENAS
Authors: Arenas Torres Felipe Eduardo , Bustamante Ubilla Miguel , Campos Troncoso Roberto
Published: November 2022

El objetivo del presente trabajo fue determinar si la adopción de prácticas de gobierno corporativo incide positiva y significativamente en la rentabilidad de las empresas chilenas. El estudio consideró una muestra de 903 reportes entre los años 2015 y 2019. La investigación del tipo descriptivo – correlacional, demuestra un grado de adopción incipiente a nivel de mercado y sectores económicos, aumentando la heterogeneidad de resultados respecto a la relación entre el gobierno corporativo y el desempeño financiero. La incidencia significativa se alcanza en algunos sectores económicos, respecto a las categorías funcionamiento del consejo de administración y evaluación por un tercero independiente.
Decentralized Web Hosting Service Using IPFS and Ethereum Blockchain
Authors: Muthurajkumar S. , Vignesh A. , Kugan S. , Arunsha R.
Published: November 2022

On the Internet, web applications are served from a centralized location i.e., server, for higher maintainability. However, in the centralized architecture, if there is an occurrence of server failure or crash, the web applications cannot be serve to the end-users until the server goes live again. In addition, in the existing centralized architecture for web hosting services, integrity of the hosted websites entirely relies on the third-party applications which checks for any possible threats in the system. In order to provide data integrity within the system and to overcome the above-mentioned single point of failure, we proposed the decentralized solution for hosting web applications, which provides more data availability to the end-users and maintains the integrity of the data. The proposed model makes use of the Interplanetary File System (IPFS) for storing and retrieving web applications, which provides high availability and reliability. In addition, the proposed model uses the Blockchain Technology for authenticity and confidentiality. The smart contracts are deploy on the Ethereum Block chain, which aids the service provider to manage the hosting service system. The proposed model also comparatively decreases the time taken to transfer the file over the IPFS using optimal path-finding algorithm. The proposed algorithm has a lesser time complexity when compared to the Bitswap protocol used in IPFS. The use of blockchain with IPFS cumulatively provides better authenticity via Ethereum Smart Contracts, which reduces risk and failure.
Deep Learning Technique Based Character and Speech-to-Text Recognition for Interactive Online Writing with Virtual Pen and Eraser
Authors: Jayadharshini.P  , Thangarajan.R  , Abirami.T
Published: November 2022

ZeroTouch is the new emergence of sensing technologies as a touch-free interaction of air writing. The main objective of this paper is to use the pen with motion mode of interaction for the efficient online gesture. The virtual pen is detected in webcam with different contour detection is made along with eraser functionalities. But it is made much easier with OpenCV technologies. To display the text from speech in clear format a whiteboard function is added using Tkgui toolkit. A faster region-based convolution neural network technique is proposed for image text detection and then the detected image is converted to text and saved in different image formats.
Distribution Diversity Method of Feature Optimization (DDMFO) to Defend the Intrusion Practices on IoT Networks
Authors: Mopuru Bhargavi , Pachipala Yellamma
Published: November 2022

The new forms of networks labeled IoT are relatively new and which become buzz in this decade. The network architecture lets any smart device loosely connect to the Internet under internet protocol. However, the other dimension of this network facilitates intruders to access the network with no critical efforts. The context of intrusions has been delineated as intrusion practices of other devices connected to an IoT network that are connected to external networks through a gateway. Vice versa, the compromised IoT network intends to communicate with external devices or networks to perform intrusion practices. In this regard, intrusion detection through machine learning demands significant feature selection and optimization techniques. This manuscript endeavored to demonstrate the scope distribution diversity assessment methods of traditional statistical practices toward feature selection and optimization in this regard, the contribution “Distribution Diversity Method of Feature Optimization (DDMFO) to Protect Intrusion Practices on IoT Networks” of this paper uses the Dice Similarity Coefficient procedure to pick the optimum characteristics for the training of the classifier. The classifier that has been adopted in this contribution is Naïve Bayes, trained by the features selected by the proposal. The experimental research concludes the significance of the taxonomy, which demonstrates substantial accuracy and minimal false alarm.
A Joint Congestion Control Mechanism Through Dynamic Alternate Route Selection Algorithm in IoT Based Wireless Sensor Network
Authors: JayavigneshThyagarajan  , Suganthi K  , Rajesh G
Published: November 2022

Internet of Things (IoT) based Wireless Sensor Networks (WSN) comprises several miniaturized sensor nodes limited in terms of transmission range, available battery power and data rate. These nodes work collaboratively to monitor physical/environmental conditions and provide appropriate control action. Congestion has become one of the key issues in WSN because of the increase in multimedia traffic and IoT proliferation in WSN. The higher traffic load can easily lead to link-level or node-level congestion in the network. A joint layer 4/layer 3 driven congestion control distributed algorithm is proposed to detect congestion and thereby avoid congestion through alternate routing. In this work, congestion detection and avoidance method are presented which uses Random Early Discard (RED) scheme, instead of the Droptail Queue. This scheme computes a threshold to avoid further congestion and uses Location Aided Energy Efficient Routing protocol (LAEER) to find the alternate path for routing data packets. As a result, this approach achieves load balancing as it spreads traffic throughout the network. Also, simulation results infer that LAEER shows better results in terms of Quality of Service (QoS) metrics such as PDR in comparison with AODV as it has avoided further packet drops proactively through alternate forwarding neighbor selection.
An IoT Based Complete Automated System to Assist the People During Road Accidents
Authors: Ayesha Amreen , Sankar K , Sunitha B J
Published: November 2022

Recent days, Road accidents are the major cause of deaths. Numerous lives are either lost or at risk due to car accidents. It is a very important and crucial area which needs lot of attention, huge exploration and high priority to detect the accidents, identify the cause, address the issue on time and provide feasible solution during road accidents due to vehicle crash. Time delay and response time to address the accidents are the major challenges to rescue and treat people during accidents and emergencies. In order to rescue and save lives due to accidents in remote places, an efficient automated system is needed for accident detection, cause identification and on time assisting the patients after the occurrence of accident. This automated system has to communicate with the concerned fatalities about the current status of crash and respond immediately within less time. Many researchers have proposed different accident detection and alert systems in their research and survey which involves the Bluetooth, Global Positioning System (GPS), and Global System for Mobile Communications (GSM), various algorithms involving machine learning and mobile applications. Also Sensors for accident detection are based on the acceleration parameters, Smart phone for accident detection etc. This research work provides a critical and in-depth review of various emerging methods and techniques for addressing the road accidents which must be resolved in order to save lives.
Comparison of SVM and KNN Classifiers on an EEG Signal with a Simple Dataset
Authors: Gouri M S  , VijulaGrace K S
Published: November 2022

Brain-Computer Interface (BCI), deals with controlling of different assistance devices by utilising brain waves. The application of BCI is not simply limited to medical applications, and therefore its research has gained significant attention. It was noticed that huge amount of research papers had been published based on BCI in the last decade through which new challenges are constantly discovered. BCI uses many medical techniques such as EEG, ECG, ultrasound scans etc. Here in this paper we many deal with EEG and a detail comparsion of two commonly used classifiers used in classification and regressions are been done and output were obtained.
Feed Forward Neural Network and K-Nearest Neighbour Based Comparative Accurate Social Media Spam Detection
Authors: Sivadasu Grandhi , Adimoolam M.
Published: November 2022

The aim of this work is to perform spam detection in social media using Feed Forward Neural Network (FFNN) algorithm and compare its accuracy with K-Nearest Neighbour (KNN) algorithm. The experiment was carried out and classification was performed using KNN algorithm (N=10) for spam detection in social media and the accuracy was compared with SVM algorithm (N=10). For this experiment, G power value was calculated as 80 % and alpha value was as 0.05 %. The value obtained in terms of accuracy was identified for KNN algorithm (95.2%) and for FFNN algorithm (98.2%) with significant value 0.276. It was conclude that the accuracy of detecting spam using the FFNN algorithm give the impression to be slightly better than the KNN algorithm.
Prediction of Likely Customers for Car Industries Using K-Means Clustering Compared with Logistic Regression
Authors: UpendraReddy V. , Thangaraj S.John Justin
Published: November 2022

This study represents a customer segmentation model which helps them to group the customers for the car industry with the same market characteristics. The study contains 2 groups i.e, the Logistic Regression model is developed in the first group and the K Means clustering model, an unsupervised machine learning algorithm is developed in the second group. Each group has a sample size of 200 and the study parameters include alpha value0.05, beta value 0.2, and the power value 0.8. The accuracies of each model are compared with others for different sample sizes. This article is an attempt to improve the accuracy of customer segmentation using the K Means clustering, an unsupervised clustering machine learning algorithm. The proposed model has improved accuracy of 87.4% with p < 0.05 in segmenting customers than the existing model of 85%. This innovative prediction model helps to know the future customers and their needs and take innovative decisions to fulfill them. The outcomes of the proposed model are compared with the Logistic Regression algorithm and the proposed model confirms to have higher accuracy than the Logistic Regression algorithm.
Poor Accuracy in Determining Erratic User Behavior in Social Media Networks Using KNN Algorithm Comparing SVM Algorithm
Authors: Sandeep V. , Shri Vindhya A.
Published: November 2022

The main aim of this research is to determine the erratic user behaviour over social media using machine learning classifiers by comparing Novel K-Nearest Neighbour algorithm and Support Vector Machine algorithm. Classification is performed using K-Nearest Neighbour with sample size (N=10) and Support Vector Machine sample size (N=10), and results were compared based on the accuracy of both algorithms. The KNN is used to determine the accuracy of erratic user behaviour with the help of social media network reviews with twitter data. The accuracy achieved for KNN is (95.30%) and SVM is (92.67%). The statistical significance between K-Nearest Neighbour & Support Vector Machine is (p=0.0094) where (p<0.05).K-Nearest Neighbour algorithm helps in determining with more accuracy in erratic user behaviour over social media networks, and here KNN algorithm shows better accuracy than SVM algorithm.
A Novel Approach for Correlation Analysis on FBProphet to Forecast Market Gold Rates with Linear Regression
Authors: Kishann Haari , RamaParvathy L.
Published: November 2022

This work aims to forecast gold prices for future dates using FBprophet and Linear Regression. For predicting the gold price using Linear Regression with a sample size of 140, FBprophet for time series analysis was suggested. The Dickey-Fuller test extracts seasonality (non-stationary) data and converts it to static data. The accuracy of FBProphet is 97.2 percent, compared to 85.6 percent for linear regression. Compared to linear regression, FBProphet tends to do substantially better than linear regression, with a significance level of (p<0.05). FBProphet can help predict the percentage of gold rate with greater precision.
A Novel Approach for Movie Suggestion System with Empirical Risk Minimization and Decision Tree Algorithms
Authors: Pavan Kumar D. , ShriVindhya A.
Published: November 2022

The major objective of this study is to find accuracy in movie suggestion systems using machine learning algorithms namely Empirical Risk Minimisation Algorithm and Decision Tree Algorithm. Empirical Risk Minimisation algorithm and Decision Tree algorithm with sample size N = 10 was iterated 20 times for finding accuracy in movie suggestion systems.The Empirical riskminimisation algorithm produces a better accuracy of [92.02%] than the Decision tree algorithm [80.58%]. The significance of Empirical risk minimisation[p<0.05] for independent sample T-test is high.The comparison of results showed that the Empirical risk minimisation algorithm is significantly better for finding accuracy in movie suggestion systems when compared to the Decision tree algorithm