bluuebunny/crossref_metadata_2025 huggingface dataset:
Meydanların Görsel ve İşlevsel Yönden Kent Kimliğine Katkıları: Bakırköy Cumhuriyet Meydanı Ve Eminönü Meydanı Örnekleri
Authors: ALP Nilay , ŞİŞMAN Elif Ebru
Published: October 2022

Bu çalışmada Bakırköy Cumhuriyet Meydanı ve Eminönü Meydanı’nın, peyzaj mimarlığı bakış açısıyla, bulunduğu kent kimliğine görsel ve işlevsel yönden etkisi irdelenerek potansiyelleri ile eksikliklerinin tespit edilmesi ve bulunduğu kent ile kent kimliğine katkı sağlamalarına yönelik öneriler geliştirilmesi amaçlanmıştır. Bu amaçla, öncelikle kent, kent kimliği ve meydan kavramları ortaya konulmuş, kent kimliğini ve meydanı oluşturan unsurlar araştırılmıştır. Araştırma alanı olarak seçilen meydanlarda, meydanı oluşturan tüm unsurlar incelenerek analiz edilmiş, bu meydanların bulunduğu kente ve kent kimliğine etki eden tüm özellikleri belirlenmiştir. Sonuç olarak; meydanlarda belirlenen görsel ve işlevsel özellikler toplu olarak bir tabloya aktarılarak değerlendirilmiştir. Değerlendirme sonucunda her iki meydanın da bulunduğu kente ve kent kimliğine olumlu etkisi olduğu belirlenmiş ve bu meydanlardaki eksik ya da zayıf yönlerin giderilmesine yönelik öneriler geliştirilmiştir.
The use of gamification in the empathy development and prevention of bullying as a form of deviant behavior
Authors: Rean Artur , Shevchenko Andrey
Published: October 2022

Introduction. The importance of this research subject reflects the fact that deviant behavior has a strong risk factor for social deprivation. The expansion of prevention methods with new means can improve the qualitative efficiency of practical work. A key part of psychological work is also the creation of methods for identifying and responding to bullying facts in the process of observation and training. Developing empathy, identifying and preventing bullying can be considered as a new form of visualization.
Objective. Analysis of the modeling basis of the gamification method for correctional training.
Methodology. Theoretical work in which the relationship between gamified learning methods and psychological phenomena that can have a productive effect on socialization is analyzed. The experience of introducing gamification in other studies for psychological support is analyzed. Using the data obtained by Russian and foreign psychologists, the authors have examined the possibility of applying the principles of gamification as a tool of correcting bullying and aggressive behavior.
Results. As a result, modern examples of the use of gamified programs in the field of empathy development and prevention of aggressive behavior were selected and described. Taking into account the foreign experience and local examples, the authors make a conclusion about the effectiveness of the use of these methods.
Forensic authorship examination of suicide notes
Authors: Babuk Alexander
Published: October 2022

The article reveals the essence of a suicide note as an object of forensic authorship examination conducted in order to make a psycholinguistic profile of the author of the text based on his appearance characteristics (age, gender, professional affiliation, etc.). The importance of such examination in the investigation of murders is underlined, when it is required to reveal the fact of staging a murder as a suicide, when the text of the suicide note is one of the evidence sources in covering the crime up. The author points out that both the texts of "false" suicide notes and the texts of originate suicide notes have their own psycholinguistic features (structural, grammatical, morphological, etc.) that make it possible to sketch the writer’s speech profile. The research reveals that the text of a suicide note is written by a person in order to verbalize his emotional experiences in a certain depressive state. It should be noted that earlier the text of a suicide note was made by hand and it had a personal addressee, the main research methods were mainly cognitive. Currently, due to the development of Internet communication, linguostatistical methods are increasingly used. That permits to make a human profile based on a set of quantitative features in the text of a short electronic message published in the open access and having an interpersonal addressee.
Deviant behavior of convicted prisoners of war and corrective and preventive influence in their respect: statement of the problem
Authors: Skiba Andrey
Published: October 2022

The article states the absence of national regulation of the treatment of interned convicted prisoners of war (primarily in the Penal Code of the Russian Federation) and only a partial mention of them in the Geneva Convention «On the Treatment of Prisoners of War», which is especially updated by the special military operation in Ukraine. Taking into account the specific individualizing characteristics of convicted prisoners of war (combat experience, psychological and other special training, often adherence to a radical ideology, etc.) in order to prevent their deviant behavior, the provisions of the convention regulating certain aspects of the application of the regime, educational work, and social influence are analyzed and other means of their correction on the part of the state authorities of the detaining power, as well as international and national public organizations.

Attention is focused on the means of correction, which have a significant preventive potential, in particular, by ensuring of the internal and external isolation of convicted prisoners of war, imposing disciplinary sanctions on them, including by provisional detention of offenders in order to maintain order and discipline, etc.

Particular attention in the context of ensuring the safety of the activities of places of detention of convicted prisoners of war is given to the prevention of their self-injury, including when deciding on release for health reasons, radical religious manifestations, as well as other negative deviations.
Analisis Kebijakan Hutang pada Subsektor Kontruksi dan Bangunan di Indonesia
Authors:   Universitas Lampung, Lampung, Nurkomala Nurkomala , Yuliansyah Yuliansyah ,   Universitas Lampung, Lampung, amelia yunia ,   Universitas Lampung, Lampung
Published: October 2022

Abstract: Purpose: This article aims to find out how the independent variable affects the dependent variable. Asset growth, liquidity, and profitability are independent variables; debt policy is the dependent variable. Method: The types and sources of data in this study are quantitative research, with data sources through the Indonesian Stock Exchange web. The data used in this study is the ratio of asset growth, liquidity, and profitability, with the determination of the sample using the porposive sampling method and produces 51 samples of construction and building sub-sector companies. The reason for using the construction and building sub-sector is because the company is overshadowed by a higher debt burden since 2018 plus the Covid-19 pandemic. The analysis used in this study is multiple linear regression analysis using the software SPSS 26. Results: The result showed that indicate the asset growth and Profitability, liquidity, and variability all have a substantial negative impact for the policy of debt. Liquidity also has a significant positive impact on debt policy. Limitation: This research was only conducted at used only revolves around the building and construction that in 2018 until 2020, firms from the subsector should be registered on the Indonesia Stock Exchange Contributions: This exploration has contributed to the enrichment of aspects of the management accounting literature, especially in construction and building sub-sector companies. Keywords: 1. Asset Growth 2. Liquidity 3. Profitability and Debt Policy
The duration of Mediterranean diet affects the levels of the lipid profile in dyslipidemia patients
Authors: Handayani Dewi R , Septiadi Endry , Inayati Iis , Pratiwi Siska T , Anugrah Rifal A , Rohman Nur M , Prawira Achmad H , Rais Muhammad A
Published: October 2022

Dyslipidemia is a lipid metabolism disorder that indicates abnormal levels of lipid profile in
plasma. The most notable lipid profile abnormalities include increased levels of total

cholesterol, low-density lipoprotein cholesterol (LDL), triglycerides, and a decrease in high-
density lipoprotein cholesterol (HDL). One of the non-pharmacological management for

dyslipidemia is diet modification with the Mediterranean diet. This study aims to determine the
relationship between the duration of the Mediterranean diet and lipid profile levels in Prolanis
patients who experience dyslipidemia in a clinic in Bandung. The research method was
analytical with cohort observations. Sampling was done by consecutive sampling. Subjects in
this study were 30 dyslipidemic patients who followed a Mediterranean diet and were examined
for lipid profile levels in the first and third months. Data on total cholesterol, LDL, HDL, and
triglycerides were analyzed using the T-dependent test. Total cholesterol and Triglycerides
decreased significantly, and HDL increased significantly in the first and third month. The
duration of the Mediterranean diet shows a reduction effect of total cholesterol, LDL,
triglycerides and significantly increase HDL in patients with dyslipidemia because the
recommended foods are high in monounsaturated fatty acids (MUFA) and polyunsaturated fatty
acids (PUFA), which can correct abnormalities in lipid profile levels.
A Novel Technique for Data Quality Improvement in Human Health PHM
Authors: Taco John , Foreman Brandon , Kundu Pradeep , Lee Jay
Published: October 2022

Human healthcare data cover different signals related to the functioning of the human body such as blood pressure, blood glucose, heart rate, among others. This kind of data plays an important role on ill patients in the intensive care unit. Unfortunately, the recorded data may include connection & human errors, measurement errors due to the movement of patients, among others. These errors are better known as Artifacts and they should be removed in case the data needs to be used for clinical purposes. Different methods have been proposed for artifact detection; however, the existing methods only analyze one signal at a time or rely on feature engineering. In this study, we present an alternative solution for artifact detection that integrates signals such as Intracranial Pressure (ICP), Electrocardiogram (ECG), and Arterial Blood Pressure (ABP). Time raw domain data, Fourier transform, and the combination of both were studied as the input of neural network models. Four deep learning algorithms were employed: convolutional neural network (CNN), long short-term memory (LSTM), bidirectional LSTM (BiLSTM), and transformer neural network. By performing a cross-validation ensemble using a dataset of 39 patients with noisy signals, the Fourier transform and CNN (FT-CNN) model outperformed the other deep learning models in terms of accuracy and computational time. This study shows that deep learning, Fourier transform, and cross-validation ensemble combined have a great potential in data quality improvement in healthcare.
Learning Data-Driven Model of Damped Coupled Oscillators from System Impulse Response
Authors: Fabro Jacob , Vogl Gregory , Qu Yongzhi , Eischens Reese
Published: October 2022

Data-driven modeling of dynamical systems has drawn much research attention recently, with the goal of approximating the underlying governing rules of a dynamical system with data-driven differential equations. Many real-world dynamical systems can be modeled as coupled oscillators, such as chemical reactors, ecological systems, integrated circuits, and mechanical systems. In those systems, the response can be described by coupled differential equations in which multi-dimensional state variables describe the timeevolution. However, in practice, the full set of state variables is often difficult or expensive to measure. This paper shows an attempt to develop a data-driven model for damped coupled oscillators from a mixed-mode response signal using neural differential equations. The univariate time-series data of the impulse response is first resampled into a multi-variate time-delayed embedding. A singular value decomposition is then applied to find the dominant orthogonal basis (oscillator modes). The decoupled modes are then modeled with parameterized neural differential equations. The unknown parameters can be learned from a segment of historical data. The proposed methodology is validated using impact testing data of an end mill in a machine tool spindle. The results demonstrate that the proposed method can effectively model damped coupled oscillators.
Generating Semantic Matches Between Maintenance Work Orders for Diagnostic Decision Support
Authors: Naqvi Syed Meesam Raza , Ghufran Mohammad , Meraghni Safa , Varnier Christophe , Nicod Jean-Marc , Zerhouni Noureddine
Published: October 2022

Improving maintenance knowledge intelligence using text data is challenging since the maintenance information is mainly recorded as text. To unlock the knowledge from the maintenance text, a decision-making solution based on retrieving similar cases to help solve new maintenance problems is proposed. In this work, an unsupervised domain fine-tuning technique, Transformer-based Sequential Denoising Auto-Encoder (TSDAE) is used to fine-tune the BERT (Bidirectional Encoder Representations from Transformers) model on domain-specific corpora composed of the Maintenance Work Orders (MWOs). Unsupervised fine-tuning helped the BERT model to adapt MWOs text. Results indicate fine-tuned BERT model can generate semantic matches between MWOs regardless of the complex nature of maintenance text.
Application of Convolutional and Feedforward Neural Networks for Fault Detection in Particle Accelerator Power Systems
Authors: Radaideh Majdi , Pappas Chris , Ramuhalli Pradeep , Cousineau Sarah
Published: October 2022

High voltage converter modulators (HVCM) provide power to the accelerating cavities of the Spallation Neutron Source (SNS) facility. HVCMs experience catastrophic failures, which increase the downtime of the SNS and reduce beam time. The faults may occur due to different reasons including failures of the resonant capacitor, core saturation due to the magnetic flux, insulated-gate bipolar transistor (IGBT) failures, and others. We recently have setup a HVCM test stand to develop and test machine learning models for anomaly detection and fault prognostics. In this work, we propose binary classifiers and autoencoder architectures based on convolutional (CNN) and feedforward neural networks (FNN) to facilitate distinguishing normal from faulty waveforms coming from the HVCM during operation. The results indicate that the CNN binary classifier is the best model among the four showing very stable performance in the training and testing sets with impressive precision and recall metrics, reaching up to 99% with a very small uncertainty. The FNN classifier shows the least performance with a large uncertainty in its metrics. The performances of the two autoencoders based on CNN and FNN were in between, showing very good performance nonetheless.
A Fault Detection Technique based on Deep Transfer Learning from Experimental Linear Actuator to Real-World Railway Door Systems
Authors: Shimizu Minoru , Perinpanayagam Suresh , Namoano Bernadin
Published: October 2022

Fault detection for railway door systems based on data-driven approaches has been investigated in recent years due to the massive amount of available monitoring data. Despite much attention to its application, the major challenge is the lack of available faulty datasets to build a reliable model since railway maintenance is usually conducted regularly to avoid significant defects from economic and safety points of view. We aimed to tackle the issue by employing transfer learning. Firstly, we built a long-short term memory-based deep learning model using linear actuator experimental datasets. Then, we employed a transfer learning technique to adjust the deep learning model to be available to real-world railway door systems using a small amount of faulty data. As a result, high fault detection accuracy can be obtained at 0.979 as F1 score. The result reveals that an accurate fault detection model can be built even though a large amount of labelled datasets is unavailable. In addition, the proposed method is applicable to other door systems or electro-mechanical actuators since the method is unspecific to physical mechanisms and fault modes, and the only motor current signal is used in this research. The signal is primarily available from the controller or motor drive without additional sensors.
Statistical Classification Approach to Valve Condition Monitoring Using Pressure Features
Authors: Chesnes Jacob , Kolodziej Jason , Nelson Daniel
Published: October 2022

This paper provides a novel health monitoring classification algorithm to estimate the level of valve leakage in reciprocating compressors. It is expected that the level of leakage will change the shape of the pressure-volume diagram. This method constructs a feature space using the polytropic exponent during the expansion and compression phases as well as the discharge and suction valve loss power. These features are extracted by measuring in-cylinder pressure, discharge pressure, suction pressure, and the crank angle. Linear and quadratic discriminant classifiers are used as machine learning approaches to classify the valve health of the compressor. This method is implemented on a single-stage double-acting industrial gas compressor operating on air. Faults are seeded by precisely machining valve poppets to simulate common valve leakage. The approach shows a high classification accuracy in determining the degree of leakage and shows promise for future work in prognostics.
The crosstalk between insulin resistance and nonalcoholic fatty liver disease/metabolic dysfunction-associated fatty liver disease: a culprit or a consequence?
Authors: Koo Dae-Jeong , Lee Won-Young
Published: October 2022

Nonalcoholic fatty liver disease (NAFLD), which has recently undergone a change in its definition and acronym to “metabolic dysfunction associated fatty liver disease (MAFLD),” is clinically significant as an increasingly prevalent independent risk factor for cardiovascular diseases. Insulin resistance is considered to be a key mechanism in the development and progression of NAFLD/MAFLD, and fatty liver disease itself may exacerbate insulin resistance. In this review, we describe the mechanisms underlying the interaction between insulin resistance and fatty liver, and we summarize the therapeutic attempts based on those mechanisms.
Meningkatkan Kreativitas Anak Usia 5-6 Tahun melalui Media Loose Part di TK IT Abatatsa Kabupaten Pasuruan
Authors: Salsabila Nadia Kaffiya , Naila Naila , W Indriana
Published: October 2022

Every child has a natural creativity. Children's creativity can be developed, because it needs to be developed from an early age. Stimulation and stimulation is one of the factors to develop creativity. Now many children learn who are still racing on the teacher waiting to give an example, so that children cannot develop their imagination. The loose parts method is a method that uses materials around us, which can be removed and installed, not disposable, can be assembled according to the wishes or creativity of the child. This research is a CAR classroom action research. The research subject is the children of group B TK IT ABATATSA PASURUAN. The results of the study using loose parts showed that the media increased creativity in early childhood. When children are given the freedom to do direct exploration of the environment, they can enrich creative ideas, raise curiosity in children, and imagination ideas. So that learning that initially relies on the teacher to give examples, is monotonous and boring, will become more fun and develop children's ideas.
Analisis Penggunaan Aplikasi Kahoot sebagai Digital Game Based Learning dalam Evaluasi Pembelajaran PAI di SMA Negeri 2 Padang
Authors: Ma'ruf Afiq , Alfurqan Alfurqan
Published: October 2022

The purpose of this study was to determine the process of using the Kahoot application as a digital-based game tool in the evaluation process of Islamic Religious Education learning at SMA Negeri 2 Padang. The development of technology is increasingly rapid, especially in the field of education, so teachers are required to be able to innovate, such as by utilizing technology as a means of learning media and as a learning evaluation tool. The Kahoot application is a web-based learning media or application that is used as an online-based evaluation process tool that makes it easier for teachers to increase student interest in participating in evaluation activities. Learning evaluation by utilizing the use of the Kahoot application is an alternative way that can be used by teachers to see the learning that has been carried out. This research applies qualitative research with the type of case study research, the data sources in this study consist of nine informants and documentation. The research methods used in this study were interviews, documentation, and observation. Data analysis with data reduction, data presentation, and concluding. For data analysis, the researcher applied the triangulation method by checking again. The results of this study prove that SMA Negeri 2 Padang has used the Kahoot application as a tool for the evaluation process in evaluating learning. The use of this Kahoot application still has some obstacles in its use. The use of this Kahoot application helps facilitate and becomes an attraction for students in the learning evaluation process activities.
Analisis Kesalahan Penggunaan Ejaan dan Tanda Baca dalam Karangan Narasi Dikaitkan dengan Sikap Tanggung Jawab Siswa
Authors: Santi Riska Hiro , Halidjah Siti , Bistari Bistari , Kresnadi Hery , Suparjan Suparjan
Published: October 2022

This study aims to describe the use of spelling and punctuation errors that are high, medium, and low in narrative essays associated with the attitude of responsibility in fifth grade students of SD Negeri 30 Pontianak Selatan. This study uses a descriptive qualitative approach. The data analysis technique uses the Miles and Huberman model which includes for stages, namely data collection, data reduction, data presentation, and drawing conclusions. The results of responsibility based on the error rate, namely at high errors because students did not understand the use of proper spelling and punctuation, for moderate errors because there were students who did not pay attention to the use of spelling and punctuation. Correct in composing, and far low errors, students already know the use of proper spelling and punctuation, but there are still few errors found, and it is associated with an attitude of responsibility based on the error rate, student with high, medium, and low error rates for their attitudes it’s all good.
Project Based Learning Menggunakan Pendekatan Higher Order Thinking Skills (HOTS) untuk Meningkatkan Kemampuan Mahasiswa Abad 21 di Universitas Gunung Rinjani
Authors: Junaidi Abdul Majid , Hamidy Rasyid Ridho , Karomi Karomi
Published: October 2022

In this era 4.0, students are required to have high-level thinking skills, which are better known as Higher Order Thinking Skills (HOTS). HOTS is the ability to think critically, logically, reflectively, metacognitively, and creatively to be able to solve the problems at hand. Globalization has brought its own changes and challenges in various fields including the field of Education. The learning program designed must be in line with 21st century education which requires graduates to be competent with a number of required skills. The purpose of this study was to find out how the implementation of Project-Based Learning (PjBL) through the Higher Order Thinking Skill approach was able to improve students' speaking skill at Gunung Rinjani University, and to find out how the HOTS-based PjBL process in public speaking courses. The participants in this study were 5th semester students in the Public Speaking subject of the English Education Study Program. This type of research is descriptive qualitative. Researchers used 3 data collection techniques, namely observation, interviews, and documentation. The results of this study showed positive responses by students regarding the implementation of PjBL through the HOTS approach, and were able to improve students' speaking skills and improve 21st century skills, namely critical thinking, creative, and able to solve problems, able to use technology media, and able to work together. In implementing PjBL using the HOTS approach, there are 4 steps that the lecturers implement, namely; preparation, implementation, development, and presentation.
Pengaruh Kepemimpinan Autentik terhadap Kedisiplinan Guru SMKN 1 Gunungsari
Authors: Hubbaya Rif'atin , Hartawan Lalu Kiagus
Published: October 2022

The purpose of this study was to determine the effect of authentic leadership on teacher discipline at SMKN 1 Gunungsari, West Nusa Tenggara. This research is motivated by the recapitulation of teacher attendance data at SMKN 1 Gunungsari in the even semester of 2022 which shows the arrival of teachers in the first hour on time in carrying out tasks in learning activities is still quite low although several previous studies indicate that authentic leadership can affect employee discipline. A quantitative approach using survey methods is used in this study, where the research population is all teachers of SMKN 1 Gunungsari with a sample of 30 teachers. The data collection technique uses a questionnaire . The t test used as a data analysis technique with the help of the IBM SPSS Statistic 26 program. The results show that t count > t table which is 6.497 > 2.048 and the significance probability is smaller than alpha (0.05) so that concluded that authentic leadership has a significant effect on teacher discipline at SMKN 1 Gunungsari. One way to improve teacher discipline is to increase teacher loyalty and commitment which can be achieved by making the authentic leadership of a school principal effective.
Strategies of Learning Starts with a Question; Upaya Guru dalam Meningkatkan Hasil Belajar Siswa
Authors: Munif Muhammad , Kholil Muhammad , Putri Erica Prasetya
Published: October 2022

This study discusses the implementation of the learning strategy learning starts with a question in improving the learning outcomes of fifth grade students at MI Mambaul Ulum Alassumur. This research uses a qualitative case study approach. There were three informants in this study, namely Lailatul Mukarromah as the principal, Vindi Rif'atus Sholehah as a teacher and homeroom teacher for class V, and Dania as a class V student at MI Mambaul Ulum Alassumur. Data analysis is carried out with data collection, data reduction, data display, and conclusions. The research results obtained are the implementation of the learning strategy learning starts with a question in class V, which is carried out in several stages including choosing teaching sources, dividing students into several groups, choosing teaching materials or materials, starting learning by instructing students to read teaching materials then followed by formulating questions, and evaluating learning with questions and answers.
Kepemimpinan dalam Mengembangkan Religious Culture di Madrasah Aliyah Negeri se-Kota Mataram Nusa Tenggara Barat
Authors: Idrus S. Ali Jadid Al
Published: October 2022

Leadership has a very strong relationship with power. Therefore, power has juridical power and can influence others to act as expected. This paper aims to analyze the strategic role of leadership in developing a religious culture. In addition, this paper seeks to explore how leadership can develop a religious culture in Madrasahs, and furthermore to understand the implementation of leadership as an important part in developing a religious culture in State Madrasah Aliyah throughout the city of Mataram. The method used in this paper is qualitative, this approach emphasizes the quality or the most important of social phenomena, events and phenomena. In this study, researchers analyzed social phenomena, phenomena and events regarding the implementation of leadership as part of developing a religious culture in Madrasah Aliyah Negeri in Mataram. Data collection in this study was carried out using in-depth interviews, observation and documentation of the data found in the field. The data analysis of this research uses interactive model data analysis techniques that take place continuously until complete. The analysis takes place simultaneously which is carried out simultaneously with the data collection process, with the flow of stages: (1) data collection (data collection), (2) data reduction (data reduction), (3) data presentation (data display) and (4) conclusions or verification (conclusion drawing and verifying. The results of the research are that Madarsah Aliyah Negeri in the city of Mataram, is a leading educational institution at the secondary education level which is slowly but surely developing a religious culture within their respective madrasah. This can be seen from several activities that the researchers found in the field, for example, the development of a religious culture which is heavily influenced by the policies of the madarsah principal, and this can be seen through (1) the many regulations that are religious in nature that are applied, (2) the religious activities that are routinely carried out by the madrasah. students (3) and the discipline and cleanliness of the study program environment is quite well maintained. (4) the growth of order that reflects harmony and order in the association between madrasa residents, (5) exemplary as part of the leadership orientation in the development of religious culture in Madrasah Aliyah Negeri in Mataram City, and can have implications for instilling students' faith in madrasas. (6) Openness as part of the transparency nature of the school management system and on any issues. The openness of every member of the school is expected to close the existence of mutual suspicion, prejudice, envy, slander and other bad qualities that tend to persecute and damage the rights of others.
Controlling mothers, insecure daughters: parental style and adult attachment
Authors: Ripardo Rachel Coelho , Lordelo Eulina da Rocha
Published: October 2022

There is a proven relationship between adult attachment and parental style, yet the use of Life History Theory, in a “majority of the world” country, with advanced statistical analysis, can bring new results. In view of this, the objective of this study was to identify and relate the perceived parental style of 150 Brazilian women aged 18-45 years. The Relationship Style Scale and the Parental Bonding Instrument were used. Attachment security ranged from 48.0% to 67.9%, which exposes the impact of the type of statistical analysis. Analyses of structural equation models revealed that the maternal control dimension was more important to the attachment style of women, while paternal care and control were both relevant. Life History Theory can explain this result through the influence of maternal control on changes in female development, which are due to different parental investment, which influences sexual strategy.
Psychometric properties of the Child Sports Cohesion Questionnaire to Brazilian Portuguese
Authors: Pieri Rodrigo de Vasconcellos , Filgueiras Alberto
Published: October 2022

Sport cohesion is a dynamic process that influences the tendency of team mem-bers to remain together until they achieve a goal. To measure task and social sport cohesion among children, the Child Spots Cohesion Questionnaire was developed by Martin et al. in 2012. The present study aimed to assess the psychometric pro-perties of the Brazilian-adapted version of this instrument. Reliability, validity and factorability were assessed in a sample of 280 children. Reliability was measured by Cronbach’s alpha and ranged between 0.80 and 0.87. Convergent validity showed high correlation between the instrument and a visual analogue scale that measured sport cohesion. Latent structure analysis revealed that a bifactor latent structure with a general factor and two independent factors had the best fit of the empirical data. Results support that the Brazilian-adapted version of the Child Spots Cohesion Ques-tionnaire is a good instrument to assess sport cohesion in Brazilian children.
A apropriação da psicanálise pelo neopragmatismo
Authors: Barreira Marcelo
Published: October 2022

A visão neopragmática da psicanálise discorda da centralização do self da tradição metafísica e indica uma nova redescrição de si: uma redescrição estética. Para susten-tar sua proposta, Freud é visto por Rorty como um exemplo de pensador edificante, pois a psicanálise fornece uma riqueza de desdobramentos morais e político-culturais. Em grandes linhas, nosso autor compreende o mundo psíquico, baseando-se no pen-samento de Donald Davidson, como o encontro entre “quase-pessoas” como “con-juntos de crenças e desejos”; sobretudo o consciente e o inconsciente, que considera polos paradigmáticos das instâncias psíquicas. Para compreender essa construção plural e dinâmica da subjetividade, este artigo enfatiza a análise de textos de Rorty escritos após 1989; em especial, Freud e a reflexão moral.
Gestão e participação social na Floresta Nacional do Assungui, Campo Largo - PR
Authors: Micaloski Mariana Meira , Tetto Alexandre França , Savi Mauricio , Faraco Luiz Francisco Ditzel
Published: October 2022

A gestão participativa de uma unidade de conservação pode ser entendida como a coordenação equilibrada dos componentes técnicos, operacionais e dos recursos naturais da área e o gerenciamento desses componentes se faz juntamente com os atores sociais envolvidos direta ou indiretamente com a unidade de conservação. Avaliar a gestão participativa de uma unidade de conservação é analisar sua capacidade de executar as ações relacionadas com seus objetivos de conservação e preservação. O presente trabalho teve como objetivo avaliar a gestão da Floresta Nacional do Assungui, utilizando como ferramenta a metodologia APAS, “Análise da Participação Social em Unidades de Conservação, elaborada para analisar a efetividade da gestão participativa, considerando os principais instrumentos de participação social previstos na Lei do SNUC, consulta pública, plano de manejo e conselho gestor. Os resultados mostraram que a unidade de conservação atingiu um percentual de 68,97% de efetividade de gestão, o que indica que a área possui uma gestão participativa moderadamente satisfatória, possuindo elementos mínimos para sua gestão, porém, com deficiências que dificultam o estabelecimento de uma base sólida para uma gestão participativa eficaz, o que pode ocasionar no descumprimento de alguns objetivos estabelecidos para a conservação da unidade.
Resposta morfológica e produtiva do rabanete submetido à adubação fosfatada
Authors: Jesus Felipe Queiroz de , Gomes Marcelo Barcelo , Silva Valéria Lima da
Published: October 2022

O objetivo com este experimento foi avaliar a resposta morfológica e produtiva de rabanete submetido à fertilização fosfatada. O experimento foi realizado no Instituto Federal de Mato Grosso do Sul Campus Naviraí em delineamento de blocos ao acaso com quatro repetições em esquema fatorial 5x5. Foram utilizadas cinco doses de P2O5 (0, 40, 80, 120 e 160 kg ha-1) e cinco épocas de avaliação (7, 14, 21, 28 e 35 dias após o plantio). Os tratamentos foram dispostos em canteiros de 1 m² cada, com quatro linhas de semeadura espaçadas de 0,25 m. As variáveis avaliadas foram: massa seca do cotilédone (g), comprimento da raiz (mm), volume da raiz (cm³), diâmetro da raiz tuberosa (mm), massa seca da raiz tuberosa (g), massa seca da folha (g) e produtividade (kg ha-1). A produtividade máxima (8.679,07 kg ha-1) de rabanete foi determinada com a dose de 98,94 kg de P2O5 ha-1.
A Study on Various Techniques on Data Partitioning and Sampling in Big Data Analysis
Authors: Gothi Riya , B H Mahantesh , G Moulya , Singh Priyanshu , Hegde Prasad , Preetham Dr. Anusha
Published: October 2022

Recognition of hand gestures has great importance for Human-computer interaction (HCI). The human hand is very small with complex junctions compared with the entire human body, hence recognizing the human hand is not an easy task. By using the hand gesture recognition the hand point/coordinates of hands can be detected using which we can make many impossible happens. Our work indicates one such finding, that is, VIRTUAL PAINTER. In our project, the main objective is to display the words on the monitor screen which we write on air in front of the webcam. This is done by recognizing the human hand through the normal webcam of a computer and the hand points are detected using the MediaPipe python library. Using the detected hand points the count of opened fingers is stored. When the index and middle fingers are open it means it is in Selection mode and when only the index finger is open it is in drawing mode. In Selection mode, the colors using which we want to draw can be selected from the list of colors that are made displayed on the screen. In drawing mode, the content that is written in front of the camera on air is drawn on the monitor screen. The application of this implementation can be used in many places where immediate implementation or explanation is needed.
Mobile Ad-Hoc Wireless Networks In Medium Access Control Protocol
Authors: T. Bhuvaneswari , Newase Dr. Atul Dattatrya
Published: October 2022

Nodes in an ad hoc wireless network share a common broadcast radio channel. The radio spectrum is limited, the bandwidth available for communication in such networks is also limited. Access to this shared medium should be controlled in such manner that all nodes receive a fair share of the available bandwidth, and that the bandwidth is utilized efficiently. Since the characteristics of the wireless medium are completely different from those of the wired medium ,and since ad hoc wireless networks need to address unique issues such as node mobility, limited bandwidth availability ,error-prone broadcast channel hidden and exposed terminals problems and power constraints that are not applicable to wired networks ,a different set of protocols is required for controlling access to the shared medium in such networks, This paper focuses on media access protocols for ad hoc wireless networks
A Study on the Tattoo Symbols used to Adorn Body by Korku Tribe of Madhya Pradesh
Authors: Jain Dr. Smita , Sharma Dr. Ratna , Khan Ms. Zainab
Published: October 2022

Tattooing is more than just ink and design: it is essentially a process of knowledge transmission via visual language, in which culture is imprinted and kept in a unique way. A tattoo can be regarded as a work of art, but its maintenance is challenging because even the most indestructible tattoos fade away with the mortal body to which they are linked. Korku is one of the main tribe of Madhya Pradesh. Primary as well as secondary data was collected to study the tattoo symbols used by Korku Tribe. The importance of tattoos, the symbols used, as well as and their meanings in the lives of the Korku tribe has been highlighted in this study.
Islanding Detection in Microgrid System Using Current Components of α-β Transformation
Authors: Rathod Nenavath Suresh , Kumar Jitendra
Published: October 2022

This paper introduces a novel islanding detection technique(IDT), which is based on the current components of α-β transformation. Index defined in the proposed technique is the reciprocal of the product of alpha and beta components of current. The proposed technique is designed with three photovoltaic systems as distributed generations (DG). The proposed method distinguishes the islanding events(IE) from non-islanding events even at zero power mismatch (ZPM) and fifty percent active power mismatch(APM). It identifies the islanding events as soon as possible and also limits the unwanted tripping due to various types of non-islanding events. General cases of IE and non-islanding events have been simulated. The simulation results show the proposed technique’s flexibility and efficiency based on the MATLAB(Simulink) platform.
Nanorobotics in Blood Vessels
Authors: N R Vaishnavi , S Thrupthi , K Vaishnavi , M C Yashaswini , C Vandana , H Sowmya
Published: October 2022

Nowadays the use of nanorobots for medical diagnostics is huge. Nanorobots are used to treat these diagnostics and it will be widely used in future. Here, we design a control method which controls the motion of Nanorobots that are sent into human’s blood vessels and it is used as medical therapies. This study investigates the control mechanism for locomotion of nanorobots in blood vessel repair applications. Each nanorobot operating as artificial platelets has only essential characteristics for self-assembling into a mass at the injured blood vessel to reduce blood loss.Electromagnetism can be used to guide the nanorobots to move to a particular point or part of the body. Coils are also used here.
Next Generation Technology: 5G
Authors: Thanmayee Kandula , S Geethika , Kuchally Dhanush N , Tazmeen Arfa , S Dr Pooja Nayak
Published: October 2022

This paper discusses 5G wireless networks and their upcoming challenges, such as increasing network capacity to support a large number of devices running applications that require high data rates and always-on connectivity; and supporting emerging wireless network business models that necessitate more open networks. New difficulties demand new solutions, such as revised plans for future 5G wireless network location, management, and operation that are equivalent to current wireless networks. One of the main goals of future 5G wireless networks is to integrate cloud reserves and wireless/wired network assets from various infrastructure vendors and/or operators to create service-customized networks for a variety of applications
Artificial Intelligence for Mitigating Patent Process Hurdles
Authors: Hegde Deepti , Hegde Suneeta
Published: October 2022

New thrust by the government to develop skill sets and entrepreneurship has resulted in massive inventions and rapid advancement of science and technology. complexity in monitoring, managing adapting, and registering innovations is becoming increasingly difficult due to a massive number of inventions. Maintaining standards for new innovations along with increased time for their scrutiny is causing delays in the adaptation of new inventions. The Intellectual property rights scrutiny towards judging the uniqueness of a particular innovation and prior art search has been made considerably easy by using artificial intelligence and machine learning. This latest technology can help to overcome the cumbersome processes for the allotment of intellectual property rights. This technology eases the burden of managing a large number of innovations filed as patent applications. Data mitigation becomes easy in the area of prior art searches. The world trade organization has announced certain stipulations in the form of law to avoid overlapping of the inventions and grant patents in line with the geographical restrictions. This article makes a concrete proposal to understand the complex interrelationship between trade law, jurisprudence, and the application of artificial intelligence in overcoming the hurdles concerning the patent grant process. The paper also proposes the use of artificial intelligence for patent-related dispute settlement in line with Trade-related aspects of intellectual property rights agreements. The paper advocates the use of artificial intelligence in the area of application and grant of patents.
Energy Efficient and Enhancement Methods For 5G Technology
Authors: H Shambhavi , R Dr Devaraju
Published: October 2022

With the evolution of communication technology, .a corresponding requirement for optimization in energy consumption is also growing. With the..emergence of 5G technology the importance of energy efficiency (EE) for wireless networks has been realized .even more. The major concern is to improve EE without compromising on user experience. So, in this paper, we address various energy issues and provide an analysis of various techniques which will be adopted in. the 5G networks to improve the energy efficiency of the devices. We have focused our attention on the following areas to improve the energy efficiency which include EE improvement using radio access techniques like Simultaneous wireless energy and power transfer, EE improvement by use of Small Cells and Massive MIMO, EE improvement by using relays and D2D communication
Proficient and Safe Token with Secret and Public Keys Sharing Algorithm for Preventing Cryptographic Key Leakage in Wireless Sensor Network
Authors: R Nesamalar , K. Dr. Ravikumar
Published: October 2022

Sensor devices in the Wireless Sensor Network (WSN) are commonly subjected to various forms of attacks, such as flood attacks, eavesdropping attacks, etc. When an attacker compromises a sensor device, the sensor device's data contents become non-confidential and are grabbed by the attacker, putting the entire network at risk. As a result, to prevent key leaks in WSN networks, this paper proposes a Token with Secret and Public Keys Sharing (TSP-KS) algorithm. In the existence of attackers, cryptography is used to provide secure communication. A traditional public-key cryptosystem is appropriate in cryptography since it does not need the sender and receiver to supply the same secret to communicate without risk. However, they frequently rely on complex mathematical calculations, making them far less capable than equivalent symmetric-key cryptosystems. The high cost of encrypting long messages with public-key cryptography could be problematic in a wide range of applications. A hybrid system deals with it using a combination of the two. In WSN, Admin creates a token, a secret key, a public key, and a private key. Here, the token is used for access control in sensor devices and the administrator, the secret and public keys are utilized for packet encryption in sensor devices and the base station, and the private key is utilized for decryption in the administrator. Admin shares token with secret and public key for sensor devices and base station for encryption purposes. As a result, the TSP-KS algorithm was utilized to securely share these token with secret and public keys for sensor devices and base station over a distributed way. Experimental results demonstrate that the TSP-KS algorithm securely shares a token with a secret and public key.
ECG Generation Using IoT Based System
Authors: P Siva Pradeep , R Thirukkumaran , S Saranraj , K SanthoshKumar
Published: October 2022

ECG is one of the techniques to measure the heart’s rhythm of the person. It helps to diagnose and monitor conditions affecting the heart. It can be used to investigate symptoms of a possible heart problem, such as chest pain, palpitations (suddenly noticeable heartbeats), dizziness and shortness of breath. With the help of AD8232 heart monitor sensor it is possible to generate an ECG.