bluuebunny/crossref_metadata_2025 huggingface dataset:
Formação continuada em psicologia e psicoterapia antroposófica focada em aprendizagem e desenvolvimento
Authors: Dias Elenice Saporski , Stoltz Tania
Published: July 2024

Em meio à cultura tecnicista e mercadológica que permeia as formações continuadas em Psicologia, o presente estudo aborda possibilidade inédita de formação em Psicologia inspirada na Antroposofia. O propósito desta pesquisa é descrever a vivência de aprendizagem e de desenvolvimento de participantes de um Curso de Formação Continuada em Psicologia e Psicoterapia Antroposófica. Trata-se de uma pesquisa que se apoia na perspectiva fenomenológica de Rudolf Steiner, Lievegoed e Houten e utiliza como método de análise fenomenológica, a perspectiva de Moustakas e Creswell. Como instrumentos de coleta de dados foram utilizados entrevista, questionário, grupo focal e produção criativa com 14 participantes do curso. A análise levou à identificação dos seguintes temas representativos da essência da vivência de aprendizagem a partir do curso: as marcas no caminho vivido; revelando o vivenciador; o significado do encontro; aprendizagem transformadora; o espaço do realizar consciente; e encontrando propósito e valores. As vivências de desenvolvimento se expressaram a partir dos seguintes temas: processo de revelação de si mesmo; movimento a partir de opostos complementares; autoconhecimento; e autotransformação, que retrataram a essência das vivências das participantes da pesquisa. Conclui-se que a descrição da vivência de aprendizagem e de desenvolvimento de participantes do Curso de Formação Continuada em Psicologia e Psicoterapia Antroposófica evidencia um fenômeno processual significativo com indicativos de reflexos no contexto profissional, nos colaboradores locais, nos gestores institucionais e na sociedade. A importância da centralidade nas experiências de aprendizagem e desenvolvimento para a verdadeira dimensão do aproveitamento de um curso de formação pelos participantes, fica evidente. É possível afirmar que a metodologia de aprendizagem criativo-transformacional, proposta no Curso, pode colaborar para o enfrentamento dos desafios de uma formação continuada em um espaço de aprendizagem consciente e integral, que vise encontrar propósito e valores que despertem, cada vez mais, para o autoconhecimento libertador da individualidade e para a autotransformação do ser humano, com seus reflexos na humanidade. Por fim, sugere-se, em cursos de formação continuada em Psicologia, uma metodologia que coloque o participante enquanto seu próprio problema e que enfrente o pesquisar sobre si mesmo.
Educação ambiental crítica na Amazônia: a utilização do quadro de referência como contributo pedagógico
Authors: Claro Paulo Cesar Gastaldo , Farias Magda Regina Dias
Published: July 2024

O interesse deste artigo é refletir sobre a utilização do Quadro de Referência como instrumento pedagógico para a construção e/ou avaliação de projetos educativos ambientais na escola sob a perspectiva da Educação Ambiental Crítica (EAC). Para tanto, a discussão teórica adotada foi interseccionada com uma pesquisa de doutoramento realizada na região norte do Brasil, estado de Rondônia, Porto Velho, entre os anos de 2018 e 2019. O diálogo proposto neste ensaio está dividido em três momentos, a saber: o primeiro situa a compreensão teórica adotada acerca da Educação Ambiental (EA) na escola, distinguindo as práticas ambientais tradicionais da EAC. O segundo, resgata as dimensões epistêmicas ‘educação política’, ‘pertencimento local’ e ‘ruptura dos limites naturalistas’, a fim de elucidar a utilização do Quadro de Referência no processo de construção de projetos ambientais críticos e, por fim, disserta sobre a função da EAC no processo de enfrentamento da crise socioambiental. Como conclusão se defende a utilização do Quadro de Referência enquanto alternativa para a ressignificação dos projetos educativos ambientais na escola, favorecendo, por meio das dimensões epistêmicas, o pensar crítico em relação a crise socioambiental. O Quadro de Referência congrega em sua estrutura conceitual as diretrizes que possibilitam a comunidade escolar identificar os problemas ambientais em que a escola está inserida, ampliando a compreensão do conceito de crise ambiental como uma crise da própria condição humana, portanto, de necessária organização de um movimento pedagógico que não se exima do diálogo sobre as desigualdades sociais, culturais e dos modelos de desenvolvimento que referendam a falácia de uma harmonia entre o atual modelo econômico e a natureza.
EXPLORING GALLBLADDER RADIOLOGICAL PARAMETERS FOR PREDICTING DIFFICULTY IN LAPAROSCOPIC CHOLECYSTECTOMY
Authors: RAUF UHA , MALIK MUR , SALEEM O , NAQVI SAA , NATHANI KR , SIDDIQUI FG
Published: July 2024

Laparoscopic cholecystectomy is the standard treatment for symptomatic cholelithiasis. In this study, gallbladder radiological parameters, including size and wall thickness, were assessed on ultrasound for their association with the difficulty of laparoscopic cholecystectomy. Methods: In this retrospective cross-sectional study, the size of the gallbladder and wall thickness were assessed through ultra-sonographic assessment, which was related to the duration of laparoscopic cholecystectomy. All adult patients undergoing laparoscopic cholecystectomy for symptomatic cholelithiasis at Dow University of Health Sciences, Ojha Campus, in 2020 were enrolled in the study.  Results: Thirty-three patients, including 25 (75.8%) females and 8 (24.2%) males, with a mean age of 45.76 ± 13.18 years, were included in the study. The mean operative time for the patients was 98.18 ± 32.28 minutes. Mean gallbladder length and breadth were 7.66 ± 2.30 cm and 2.44 ± 0.76 cm, respectively, whereas mean wall thickness was 3.05 ± 1.52 mm. Gallbladder size, area, and ratio were not significantly associated with patients' operative time. However, a subgroup analysis of the female population revealed a significant association between gallbladder area and operative time. Conclusion: Most gallbladder radiological parameters are not associated with the difficulty level of laparoscopic cholecystectomy. Gallbladder area, especially in females, may be able to predict the difficulty level of the surgery.
PENGARUH GAYA KEPEMIMPINAN, MOTIVASI KERJA DAN BUDAYA ORGANISASI TERHADAP KINERJA KARYAWAN PT CATUR SENTOSA ADIPRANA, TBK CABANG PURWOKERTO
Authors: Supriatin Dyah
Published: July 2024

Tujuan penelitian ini adalah untuk menganalisis pengaruh gaya kepemimpinan, motivasi kerja dan budaya organisasi terhadap kinerja karyawan PT. Catur Sentosa Adiprana, Tbk Cabang Purwokerto. Hasil yang diperoleh menunjukkan bahwa gaya kepemimpinan tidak berpengaruh signifikan terhadap kinerja pegawai, hal ini dibuktikan dengan nilai sig. hitung lebih besar dari 0,05, yaitu 0,159 > 0,05. Motivasi kerja tidak berpengaruh signifikan terhadap kinerja karyawan, hal ini dibuktikan dengan nilai sig. hitung lebih besar dari 0,05, yaitu 0,381 > 0,05. Budaya organisasi berpengaruh signifikan terhadap kinerja pegawai, hal ini dibuktikan dengan nilai sig. hitung lebih kecil dari 0,05, yaitu 0,000 < 0,05. Gaya kepemimpinan, motivasi kerja dan budaya organisasi memiliki proporsi pengaruh terhadap kinerja karyawan sebesar 5,8% sedangkan sisanya 94,2% dipengaruhi oleh variabel lain yang tidak berada dalam model regresi linier.
Kata kunci: gaya kepemimpinan, motivasi kerja, budaya organisasi dan kinerja pegawai.
ANALISIS LAPORAN KEUANGAN UNTUK MENILAI KINERJA KEUANGN PADA PT. GUDANG GARAM TBK. PERIODE 2016 – 2020
Authors: Fira R Aldes Syah , Musyarofah Ainun , Rahayu Mundiyani
Published: July 2024

This research was conducted to analyze the financial performance of PT. Gudang Garam Tbk in the 2016-2020 period based on liquidity, solvency and profitability ratios. The research approach used is a quantitative approach. This research uses descriptive research. The subjects in this research were PT. Gudang Garam Tbk, while the object of this research is the annual financial report of PT. Gudang Garam Tbk. 2016-2020. The data analysis technique used is to calculate and analyze PT's financial reports. Gudang Garam Tbk in the 2016-2020 period using liquidity, solvency and profitability ratios. The company's financial performance is reviewed from the liquidity ratio as measured by PT's Current Ratio. Gudang Garam Tbk, is declared liquid, however the quick ratio (Quick Ratio) and cash ratio (Cash Ratio) are declared illiquid. Then the company's financial performance is reviewed from the solvency ratio as measured by DTAR and DTER, PT. Gudang Garam Tbk, was declared completely solvable. Meanwhile, if the company's financial performance is viewed from the perspective of profitability ratios as measured by ROA and ROE, PT. Gudang Garam Tbk, declared overall profit. This research is expected to provide data, information, references and an overview of the analysis of company financial performance in terms of liquidity ratios, solvency ratios and profitability at PT. Gudang Garm Tbk.
PENGARUH DISKON DAN NIAT BELI TERHADAP KEPUTUSAN PEMBELIAN DI MARKETPLACE SHOPEE PADA MAHASISWA STIE TAMANSISWA BANJARNEGARA
Authors: Frina Annur Yulia , Lustono Lustono , Maesaroh Siti
Published: July 2024

Shopee is one of the largest marketplaces in Indonesia. Various facilities are offered from this marketplace. Ranging from electronic goods, fashion to daily necessities are also available. The problem in this research is the increase in purchasing decisions at major Shopee events that offer big discounts.  The purpose of this study was to determine the effect of discounts and purchase intentions partially and simultaneously on purchasing decisions in the Shopee marketplace for STIE Tamansiswa Banjarnegara students.  This research uses quantitative methods. Data collection techniques by distributing questionnaires and research samples as many as 87 people. The analytical tools used are instrument test and classical assumption test.  The data analysis technique used is multiple linear regression, t test, F test, and coefficient of determination test R square with the help of SPSS program. The results of this study indicate that partially discount (X1) has a significant positive effect on purchasing decisions and purchase intention (X2) has a significant positive effect on purchasing decisions. Then simultaneously discount and purchase intention have a significant positive effect on purchasing decisions.  The value of the coefficient of determination R square is 57.9 percent of the purchasing decision variables influenced by the discount variable and purchase intention. While the remaining 42.1 percent is influenced by other variables not examined in this study. The conclusion in this study is that the higher the discount rate and purchase intention, the higher the purchasing decisions made by consumers.
Overhaul Penggantian Bottom & Annular Plate Pada Tangki 42-T-503 PT. XBC
Authors: Ihsan Ar-Rozaq M , Zaki Samudra Ray , Valentino David , Reeh Adi Agung Widi , Frantoni Aji Ahmad , Saputra Nanang Adi , Paundra Fajar
Published: July 2024

Tangki adalah sebuah wadah atau tempat penyimpanan yang dirancang untuk menampung cairan, gas,atau bahan lainnya dalam jumlah besar. Tangki ini merupakan komponen yang digunakan untukmenyimpan produk jadi dari hasil pengolahan maupun bahan baku yang akan diolah. Tangkipenyimpanan memiliki beberapa bagian utama yaitu Bottom dan Annular Plate. Pada tangki 42-T-503sering mengalami sebuah kerusakan dan terjadi sebuah kegagalan dalam pengelasan pada bagianannular dan bottom nya sehingga dapat terjadi kebocoran yang dapat mengakibatkan kebakaran. Halini dapat diminimalisir dengan cara Overhaul Penggantian Bottom & Annular Plate Pada Tangki 42-T-503 PT. XBC. Sehingga penelitian ini bertujuan untuk melakukan perawatan dan penggantian daripelat bawah dan pelat atas dari tangki tersebut. Pada penelitian ini menggunakan metode ataupengambilan data secara langsung ke lapangan dalam pembuatan dan penggantian Bottom & Annularplate. Tangki 42-T-503 digunakan untuk menyimpan pembilasan black oil atau minyak hitam sebagaibahan baku. Tangki ini dilengkapi dengan sistem keamanan seperti springkel water hydrant dan airfoam system untuk menghadapi situasi darurat. Pada proses pembuatan bottom, memiliki beberapaproses yang dilaksanakan seperti proses pengurugan, pengaspalan, dan pemasangan annular dan joint.
Exploring Intuitionistic Fuzzy-Valued Neutrosophic Multiset Technique for High-Dimensional Financial Data Classification in Complex Systems
Authors: Hafis Hafis ,   Department of Finance and Audit, Azerbaijan State University of Economics (UNEC), Baku, AZ1001, Azerbaijan,   Department of Business Management, Azerbaijan State University of Economics (UNEC), Baku, AZ1001, Azerbaijan,   Department of Management and Marketing, Urgench State University, Urgench, 220100, Uzbekistan,   Department of Management, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, 350044, Russia,   Department of Information Technology, VR Siddhartha Engineering College (A), Siddhartha Academy of Higher Education (Deemed to be University), Vijayawada, India, Hajiyev Emil , Ilkhamova Zarnigor , Klochko Elena , Lydia E. Laxmi
Published: July 2024

In decision-making, neutrosophic set allows for the information representation with three membership functions: truth (T), indeterminacy (I), and false (F). Each component in a neutrosophic set has membership, non-membership, and indeterminacy degrees that are independent and range from 0 to 1. This makes neutrosophic set especially suitable in complex decision-making scenarios where information is contradictory, incomplete, or ambiguous, which enables robust and more nuanced analysis and solutions. A large portion of finance companies experience problems handling vast amounts of data. These data are often left unstructured and unorganized. Therefore, it is necessary to classify them to exploit it. Data classification also simplifies to use, locating, and retrieval of information. It becomes vital while handling risk management, legal discovery, data security, and compliance. Therefore, this manuscript presents an Intuitionistic Fuzzy-Valued Neutrosophic Multiset based Financial Data Classification (IFVNMS-FDC) technique in Complex Systems. The main aim of the IFVNMS-FDC technique is to recognize and categorize the financial data into respective classes. To do so, the IFVNMS-FDC technique initially uses min-max scalar as a pre-processing step. Besides, the high-dimensional financial data can be handled by the design of whale optimization algorithm (WOA) based feature selection. Finally, the IFVNMS-FDC technique derives IFVNMS technique for the identification of various classes related to the financial data. A wide-ranging experiments were involved in exhibiting the performance of the IFVNMS-FDC technique. The experimental values depicted that the IFVNMS-FDC method obtains reasonable performance on financial data recognition.
Topological consistency with low imperceptibility for graph adversarial attacks
Authors: Hu Wenjiang
Published: July 2024

Recent research shows that graph neural networks (GNNs) are easy to receive disruptions due to the lack of robustness, the phenomenon that poses a serious security threat. Currently, most efforts to attack GNNs mainly use gradient information to guide the attacks. However, the unreliability of gradient information, and the perceptibility of adversarial examples pose challenges that impede further progress in researching on graph adversarial attacks. From the unreliability of gradient information, we propose a Graph Distance Topological Consistency (GDTC). The scheme introduces graph connectivity, geodesic distance, cosine similarity, and Minkowski distance to construct the similarity matrices of the input space and embedding space of the surrogate model. The difference between the two similarities matrices is constrained during the training process of the surrogate model so that the surrogate model fully learns the topology of the original graph. From adversarial examples perceptibility, we propose attack loss with homogeneity restriction. Experiments show that GDTC can study the topological information of the original graph, enhance the reliability of gradient information, and significantly boost attack performance.
IoT traffic classification and anomaly detection method based on deep autoencoders
Authors: Xin Qi , Xu Zeqiu , Guo Lingfeng , Zhao Fanyi , Wu Binbin
Published: July 2024

This study investigates anomaly detection of IoT device traffic using Convolutional Neural Networks (CNN) and Variational Autoencoders (VAE) to enhance the detection capability of security threats in IoT environments. A series of hardware configurations, software environments, and hyperparameters were utilized to optimize the training and testing processes of the models. The CNN model demonstrates robust classification performance, achieving an accuracy rate of 95.85% on the test dataset, effectively distinguishing between different types of IoT device traffic. Meanwhile, the VAE model exhibits proficient anomaly detection capabilities by effectively capturing abnormal patterns in the data using reconstruction loss and KL divergence. The combined use of CNN and VAE models offers a comprehensive solution to cybersecurity challenges in IoT environments. Future research directions include exploring diverse IoT traffic data, practical deployment for validation, and further optimization of model structures and parameters to improve performance and applicability.
Fabric of empowerment
Authors:   ILO Country Office for Pakistan,
Published: July 2024

This policy brief summarizes insights from a study conducted across Pakistan for policymakers, practitioners and development partners. It highlights the obstacles encountered by both Afghan refugees and host communities within the artisanal textile craft sector and suggests policy actions aimed at leveraging the sector’s full potential.
Using foresight to think and act upon an uncertain future world of work
Authors: Peels Rafael , Ponce del Castillo Aida ,   International Labour Organization. Bureau for Workers' Activities,
Published: July 2024

This paper provides concrete examples and lessons learned for trade unions that are willing to experiment with strategic thinking and foresight. The paper builds further on the foresight literature by paying particular attention to the context of trade unionism, and trade union realities in different regions.
FUNDO SOBERANO: UM INSTRUMENTO PARA ESTABILIDADE E CRESCIMENTO ECONÔMICO. UMA ANÁLISE DA RENTABILIDADE DO FUNDO SOBERANO DE MARICÁ
Authors: Macedo Priscila Marins , Vinagre Neto Gilberto Mendes , Andrade Adriano Mello de , Azevedo Magno Santana
Published: July 2024

A presente análise visa avaliar a rentabilidade do Fundo Soberano de Maricá, suas táticas de investimento. Com os recebimentos das cotas-partes de petróleo e gás, especialmente após o início da exploração do pré-sal no campo de Tupi, Maricá viu um aumento em suas receitas. O fundo veio pelo meio de apoiar os investimentos que promovam políticas públicas sociais e de infraestrutura. O estudo aborda pontos para uma compreensão detalhada da avaliação do fundo, com foco no caso de Maricá, incluindo de rentabilidade dos Investimentos e comparação com benchmarks. O FSM segue uma política de investimento cautelosa, priorizando ativos de renda fixa atrelados ao CDI e investindo principalmente em títulos públicos para assegurar liquidez e minimizar riscos. No entanto, para poder maximizar os ganhos, as estratégias são bases para ampliar a diversificação dos ativos, especialmente ativos com alto potencial de retorno durante períodos de baixa do mercado, visando um aumento exponencial do capital investido.
COMPARAÇÃO DA EFICÁCIA ENTRE MICROABRASÃO E RESINA INFILTRATIVA NA REDUÇÃO DE MANCHAS BRANCAS DENTÁRIAS: UMA REVISÃO INTEGRATIVA
Authors: Alves Gabriela Dubowski , Magalhães Luiza Iaizzo , Araujo Fabiano de Oliveira , Milani Paulo Augusto Pires , Marson Fabiano Carlos , Reis Giselle Emilãine da Silva , Pupo Yasmine Mendes
Published: July 2024

As manchas brancas dentárias podem representar preocupações estéticas para os pacientes, e abordagens menos invasivas, como a microabrasão e a infiltração com resina, têm se mostrado promissoras no tratamento dessas lesões. Dada a escassez de estudos que analisem de forma integrada e reflexiva os métodos de remoção de manchas brancas e sua eficácia comparativa, este trabalho tem como objetivo revisar criticamente a literatura disponível sobre as técnicas de microabrasão e infiltração com resina na remoção dessas manchas dentárias. As bases de dados consultadas foram: Medline (via BVS), LILACS (via BVS), BBO (via BVS), PubMed e Science Direct. As palavras-chave foram definidas durante discussão de tema, sendo elas: microabrasão, mancha branca e resina infiltrativa. Foram utilizados como critérios de busca os documentos publicados no período de 2015 a 2024, nos idiomas português, inglês e espanhol. Após uma análise crítica dos artigos, foi constatado que tanto a microabrasão quanto a infiltração com resina são eficazes na redução e tratamento das manchas brancas nos dentes. A resina infiltrativa, em particular, demonstrou vantagens estéticas em comparação com a microabrasão. No entanto, a carência de estudos robustos e a falta de evidências a longo prazo ressaltam a importância de realizar mais pesquisas para avaliar a eficácia e a estabilidade dessas técnicas ao longo do tempo. Portanto, uma abordagem cautelosa e baseada em evidências é recomendada até que mais dados estejam disponíveis para orientar a escolha do tratamento mais adequado para as manchas brancas dentárias.
PSYCHOSOCIAL SUPPORT SERVICES FOR ADOLESCENT MALE LEARNERS WITH BEHAVIOURAL PROBLEMS: A CASE OF THREE INSIZA DISTRICT SECONDARY SCHOOLS IN MATABELELAND SOUTH PROVINCE, ZIMBABWE
Authors: Dhlula Calvin , Sibanda Lwazi
Published: July 2024

This study sought to examine how educators provided psychosocial support services to adolescent male learners with behavioural problems in three Insiza District Secondary Schools, Matabeleland South Province. The study was guided by interpretivist paradigm, adopted qualitative approach and employed case study design. Data were collected from a population sample comprising twelve male learners, three educators and three counsellors through focus group discussions for learners, and in-depth semi-structured interviews for educators and counsellors. The results of the study revealed that educators established the needs of the individual learners first before applying the intervention. The study found that the strategies used by educators to provide psychosocial support services to adolescent male learners involved promoting mindfulness, promoting social, emotional and behavioural learning, enhancing connectedness among learners, staff, and families, providing psychosocial skills training and cognitive behavioural interventions and guidance and counselling. The findings further indicated that adolescent male learners with behavioural problems were taught life skills such as team work, responsibility, good decision making, critical thinking, stress management, health and life skills, honesty and integrity. They are also taught tolerance, selfsufficiency, relationships, self-esteem, self-control, communication skills, conflict resolution, and, leadership skills and community involvement. The study established that educators encountered a number of challenges in provision of psychosocial support services to adolescent male learners with behaviour problems. The challenges comprised inadequate training, stress and emotional strain, lack of support, time constraints, difficulty in establishing rapport, and vicarious traumatisation. The study concluded that despite the challenges faced in providing psychosocial support services to adolescent male learners with behaviour problems, educators in selected Insiza District Secondary Schools used varied strategies to assist learners. The study recommended that the Ministry of Primary and Secondary Education should intensify training of educators to equip them with requisite knowledge and skills on provision of psychosocial support in schools.
A FRAMEWORK FOR THE STUDY OF ACCESS TO PEOPLE'S HEALTH CARE SERVICES
Authors: Thi Thuy Ha M.A. Phan
Published: July 2024

Ensuring access to healthcare services for all citizens is a crucial goal within any country's healthcare system. However, analyzing access comprehensively and accurately remains a challenge. This paper introduces various frameworks for measuring access to healthcare services, encompassing key concepts and common measurement frameworks. By applying appropriate measurement frameworks, researchers, policymakers, and non-governmental organizations can gather accurate and valuable information on the public's access to healthcare services. This enables them to identify the most vulnerable population groups, analyze specific barriers, and propose effective solutions to improve healthcare access for everyone.
Wall Shear Stress Characteristics Of A Turbulent Boundary Layer Obtained With Multi-Aperture Defocusing Micro-PTV And High-Speed Stereo Profile-PIV
Authors: Klinner Joachim , Willert Christian
Published: July 2024

A multi-aperture 3d 3c micro PTV system is presented which relies on single window optical access for both high-speed tracer illumination and image recording. Similar to the “defocusing” concept described by C. Willert & Gharib (1992), the wall distance of individual particles is obtained from the size of projected particle image triplets formed by a triplet of apertures on the entrance pupil of the microscope lens. The present article extends upon previously published material Klinner & Willert (2022) by applying multi-aperture micro particle tracking velocimetry (MA-micro PTV) on a canonical turbulent boundary layer (TBL) to track the near-wall motion of tracer particles with the aim of estimating the unsteady wall-shear stress from particle tracks. The technique is validated with measurements of a TBL inside the closed test section of the 1 m wind tunnel of DLR in Göttingen (1mWK) at free- stream velocities of 5.2 to 20 m/s with corresponding shear Reynolds numbers between 560 and 1630. In the viscous sublayer, the probability density distributions of stream- and span-wise wall shear stress (WSS) components could be reliably captured down to probability densities of 10E−3. As far as we know, this has not been achieved in the past, particularly not for the span-wise component. For the stream-wise component the measured Reynolds-number dependency of the root mean squared fluctuations agrees to correlations by Örlü & Schlatter (2011). Furthermore, the skewness of the stream-wise WSS agrees well to values from DNS. On the other hand, the span-wise WSS fluctuations consistently underestimate the predicted DNS values, for which it is assumed that the deviation can be explained by the rapid decrease of the span-wise velocity fluctuations with increasing wall distance. Wall-normal profiles of 3c velocity statistics were obtained by bin averaging of particle velocities. Up into the buffer layer, these profiles agree well with profiles from stereo PIV as well as from DNS and LES, indicating an accurate determination of both near-wall velocities and inner scaling.
Towards Time-Resolved Multi-Property Measurements By Single-Frequency FRS
Authors: Doll Ulrich , Kapulla Ralf , Dues Michael , Steinbock Jonas , Melnikov Sergey , Röhle Ingo , Migliorini Matteo , Zachos Pavlos K.
Published: July 2024

The filtered Rayleigh scattering technique (FRS), extended by the method of frequency scanning, has historically been limited to time-averaged multi-property flow measurements. In our recently published work, we present a concept that potentially enables the combined measurement of time-resolved pressure, temperature and three-component (3C) velocity fields. It is based on the observation of the region of interest from six perspectives and a single excitation frequency. This work summarizes and expands on a follow-up publication that experimentally verifies this concept on an aspirated circular duct flow. For this purpose, the results obtained from single-frequency data processing are compared with reference pressures, temperatures and corresponding LDA velocity measurements. Overall, a very good agreement is found for all operating points with accuracies of 3.4% in pressure, 1.3% in temperature and ±2 m/s in axial velocity. Concerning precision, a newly developed multistage evaluation procedure enables values for pressure, temperature and velocity as low as 3 hPa, 2.2 K and 1.7 m/s. In a second flow configuration, an axial swirler is introduced into the duct. The resulting secondary flow structure and deformation of the axial velocity field caused by swirler geometry and support are very well captured with the single-frequency analysis. A closing discussion on the implementation challenges of a single-frequency multi-property FRS instrument with pulsed laser radiation reveals significant obstacles to overcome. Due the considerable optimization potential identified, chances are high that true time-resolved multi-property measurements by FRS will become a reality.
Toward A Micrometeorological Assessment Of Agrivoltaic Farms: A Feature Tracking Velocimetry-Based Analysis
Authors: Ledda Pier Giuseppe , Seoni Alessandro , Badas Maria Grazia , Querzoli Giorgio
Published: July 2024

We investigate the flow dynamics around a model of an array of photovoltaic panels via laboratory experiments conducted in a water channel. The model farm consists of transparent polycarbonate panels with varying tilt angles, simulating different configurations typical of agrivoltaic systems. Velocities are measured using a feature tracking velocimetry technique. Results reveal distinct flow structures depending on the tilt angle of the panels and the distance between them, with varying numbers of recirculation regions observed. An increase in the distance between panels stretches the recirculation regions along the streamwise direction. Turbulent kinetic energy is more intense with negative tilt angles, and upstream turbulence penetrates more between panels. These findings suggest different transport and heat transfer properties, particularly relevant for tracker PV arrays that adjust tilt angles throughout the day. Understanding these dynamics is crucial for optimizing the design and operation of agrivoltaic farms to maximize energy production while minimizing impacts on agricultural productivity and the surrounding environment.
Experimental Investigation Of The Flow-Acoustic Interaction In Human Phonation
Authors: Näger Christoph , Kniesburges Stefan , Schoder Stefan , Becker Stefan
Published: July 2024

In the human phonation process, acoustic standing waves in the vocal tract can influence the fluid flow through the glottis. To investigate the amount of two-way coupling between the flow field and the acoustics, the supraglottal flow field has been recorded via high-speed particle image velocimetry (PIV) in a synthetic larynx model for several configurations with different vocal tract lengths. Based on the obtained velocity fields, aeroacoustic source terms were computed. Furthermore, the hydrodynamic pressure in the vocal tract was recorded via wall pressure measurements. The recordings revealed that near a vocal tract resonance frequency, the focal fold oscillation frequency jumps onto the resonance. This is accompanied by a substantial relative increase in aeroacoustic sound generation efficiency. At the same time, the glottal volume flow needed for stable vocal fold oscillation decreases strongly. The pressure measurements showed that acoustic anti-resonances of the vocal tract directly dampen the harmonic content of the hydrodynamic pressure field when matching frequencies. This result shows that back-coupling of the acoustics onto the flow field does not only occur in the case where the vocal fold oscillation frequency and a resonance frequency of the vocal tract match, but also under more other conditions.
Optimizing Image Recognition: Advancements through Conditional Deep Learning for Energy Conservation
Authors: Nayak Sujeet Kumar ,   Synergy Institute of Technology, Bhubaneswar
Published: July 2024

Deep learning frameworks utilizing neural networks have emerged as powerful tools for various recognition tasks across contemporary digital platforms. Despite their effectiveness, the high computational demands of these networks call for energy-efficient solutions. It's been noted that not all inputs necessitate the full processing power of the network; many can be accurately recognized with minimal computation. This paper introduces a concept called Adaptive Deep Learning (ADL), which leverages the features of convolutional layers to gauge the complexity of input data and selectively engage subsequent network layers. This is accomplished by integrating a sequential linear neuron network at each convolutional stage, using its output to determine if the classification process can conclude at that juncture. This approach allows the network to tailor its computational load to the input's complexity, without compromising on accuracy. For datasets such as MNIST, CIFAR10, and Tiny ImageNet, the energy savings realized by employing cutting-edge deep learning structures are significant, with reductions of 1.84x, 2.83x, and 4.02x, respectively. Additionally, this conditional technique is applied to the foundational training of deep learning networks, incorporating direct feedback from extra output neurons positioned at the mid-level convolutional layers. The integrated ADL training method proposed here enhances the rate of gradient convergence, leading to a marked decrease in error rates for MNIST and CIFAR-10 and yielding superior classification performance compared to conventional baseline networks. Key Words: optics, photonics, light, lasers, templates, journals
CYPHER TALKS-Chatting Application
Authors: Journal IJSREM ,   IndoSpace Publications
Published: July 2024

Abstract— CypherTalks is a novel chatting application designed to prioritize user privacy and security in the digital communication landscape. In an era marked by increasing concerns over data breaches and privacy infringements, CypherTalks emerges as a robust solution offering end-to-end encryption and advanced privacy features. This paper presents the architecture, functionality, and security mechanisms of CypherTalks, emphasizing its commitment to safeguarding user data and conversations. Leveraging state-of-the-art cryptographic techniques, CypherTalks ensures that messages remain encrypted from sender to recipient, thwarting any unauthorized access or interception attempts. Furthermore, the application integrates additional privacy-enhancing features such as ephemeral messaging, anonymous login options, and metadata protection, empowering users with full control over their digital footprint. Through rigorous implementation of industry best practices and adherence to established standards, CypherTalks sets a new standard for secure and private communication platforms. This paper highlights the significance of CypherTalks in addressing contemporary privacy challenges and provides insights into its potential impact on fostering trust and confidentiality in online interactions.
Counter Integrated Circuits Using an Arduino Software
Authors: Tiru Venkata Manikanta Sai Chennu Ganesh , Saran Vuggirala Sreeya , Karthikeya Aryan , Venkat Mullapudi
Published: July 2024

The goal of this research article is to build and implement a low-cost,user-friendly 74-series logic integrated circuits (ICs) tester that is independent of a computer. Depending on the truth table of the gates and the IC configuration, the logic IC tester will be able to test the operation of the 74 series logic gates (AND, OR, NOR, NAND, XOR) of those ICs. It is feasible to test a range of logic ICs with higher pin widths thanks to the proposed system’s usage of an Arduino Mega platform module as a microcontroller, which provides the ability to connect 54 programmed logic inputs or outputs. The versatility offered by this design and the use of a personal computer allow for the reprograming and updating of the logic IC functional tester. Any 74-series ICs testing outcome will be shown on liquid crystal display (LCD) at the gate level. The logic IC functional tester was successfully constructed and operates flawlessly.
Determining the intention of new recruits to quit or stay in the organisation: An empirical study on private sector bank employees of India
Authors: Das Chayanika ,   Department of Business Administration & Gauhati University, Changkakati Dr Banajit ,   Department of Business Administration & Gauhati University
Published: July 2024

The article is aimed to identify the candidates whose intention to leave is strong in near future thus trying to bridge the gap between the research and practical application in the problem area of private banks of India. The candidates that are spoken about are those who would be selected afresh to join the organization. Here, a framework is defined to predict the candidates who would be retainable by the banks. By predicting the intention to leave the organization, the organization would be able to plan the turnover and reduce the cost to the organization to make them profitable. The article uses three supervised machine learning techniques to undertake the prediction of candidates by classifying the dataset into two classes i.e. those who as “intention to quit” and “intention to stay”. The three algorithms are Logistic regression, Support Vector Machine and Random Forest Algorithm, Logistic regression giving the highest accuracy of 88.9%. Key Words: intention, quit, personality traits, perceived job characteristics.
Quantum Neural Network for Drug Synergy in Cancer
Authors: S Rajasree , L Ashwin , RG Nitish , SV Thirishaa
Published: July 2024

Our project aims to confront the persistent challenge of developing effective cancer treatments, especially in light of drug resistance. n the quest for improved therapeutic outcomes, clinicians often resort to combining drugs, yet the task of selecting the optimal mix remains daunting. Herein lies our innovative proposal - Quantum Neural Networks (QNNs). By harnessing the computational prowess inherent in QNNs, we aim to unravel the intricate complexities of genetic data, thereby pinpointing elusive yet promising drug interactions that traditional methodologies may overlook.Through this ambitious endeavor, our aim is to expedite the drug discovery process and to tailor treatments to the unique genetic profiles of individual patients. In forging this path, our project not only promises hope in the ongoing battle against cancer but also represents a monumental leap forward in the realm of personalized medicine Keywords: Cancer treatments, drug resistance, therapeutic outcomes, drug combination, optimal mix, Quantum Neural Networks (QNNs), computational prowess, genetic data, drug interactions, traditional methodologies, drug discovery process, personalized medicine, genetic profiles, individual patients, cancer battle, innovation in medicine Keywords: Cancer , Quantum Neural Networks , Drug Synergy , Sensitivity , Specificity , Synergy Score
The Influence of Home Bakeries on Social Media Users: An Empirical Study in Amravati City
Authors: Sharif Nagma Akhtar , Rodde Dr. Suraj. K , Qureshi Dr. Mahek Iram
Published: July 2024

This study investigates the influence of home bakeries on social media users in Amravati City. The rise of home-based baking businesses, especially during the COVID-19 pandemic, has created a significant presence on various social media platforms. This research aims to explore how these home bakeries impact consumer behavior, preferences, and purchasing decisions. Through a combination of surveys and data analysis, the study provides empirical insights into the social, economic, and psychological effects of home bakeries on social media users in Amravati.
Indoor Farming: Hydroponic Plant Growth Chamber
Authors: JOURNAL IJSREM ,   IndoSpace Publications
Published: July 2024

Hydroponic cultivation is increasingly favored globally due to its efficient resource management and high-quality food production capabilities. Traditional soil-based agriculture faces numerous challenges, including urbanization, natural disasters, climate change, and the overuse of chemicals and pesticides, all contributing to declining soil fertility. This proposed explores various hydroponic systems such as wick, ebb and flow, drip, deep water culture, and Nutrient Film Technique (NFT), detailing their operations, advantages, limitations, and the performance of different crops like tomatoes, cucumbers, peppers, and leafy greens. Hydroponics offers numerous benefits, including shorter growing periods compared to conventional methods, year round production, reduced disease and pest incidences, and the elimination of tasks such as weeding, spraying, and watering. Notably, the NFT system has been commercially successful worldwide, achieving 70 to 90% water savings while effectively producing leafy and other vegetables. Leading countries in hydroponic technology include the Netherlands, Australia, France, England, Israel, and Canada. Keywords — Hydroponic, Nutrient Film Technique (NFT), soil based agriculture
Empowering Local Community and Bringing Awareness for Alternative Tourism
Authors: Kapoor1 Chitra ,   1 PhD Research Scholar , Institute of Vocational Studies ,IVS- Himachal Pradesh University, Shimla, Chugh 2 Sushma Rewal ,   2 Professor , Institute of Vocational Studies ,IVS- Himachal Pradesh University, Shimla
Published: July 2024

Himachal Pradesh is home to amazing natural settings, a thriving cultural legacy, and exhilarating adventure travel options. However, the influx of large numbers of tourists frequently causes damage to the environment, a loss of cultural diversity, and economic inequality. The research paper explores the opportunity for alternative tourism to empower local communities and raise awareness in the Beas Circuit of Himachal Pradesh, with a focus on the Kullu and Mandi districts. The study involves primary survey with the help of questionnaire filled by local community for data collection and utilizes a one-sample t-test for statistical analysis. The outcomes show a strong consent among local population about the importance of implementing various approaches to improve awareness and their involvement in alternative tourism initiatives. The study emphasizes that the community plays an essential role in alternative tourism development which results in preserving socio -economic growth and cultural values in the region. The paper concludes that alternative tourism promotes sustainable growth in the Beas Circuit by empowering local communities and enhancing their awareness level towards more responsible form of tourism Key Words – Alternative Tourism, Local community, Awareness
Fast Multiplication Approach Using a Tree-Based Structure
Authors: Mia Md. Solaiman
Published: July 2024

This paper presents a technique for an efficient and faster integer number multiplication in the literatureusing a tree-based structure. In the proposed method, both the generation of the partial products and the addition ofpartial products are completed in the tree structure. The proposed multiplication approach has been designed in twosteps: Firstly, the partial products are generated in a tree-based structure; Secondly, diagonal partial productsadditions have been done by the partial products residing in the diagonal partial product nodes to get a fastermultiplication result. The result analysis shows that the proposed multiplication algorithm outperforms the existingtechniques in the literature; e.g., the proposed 4×4 multiplication algorithm improves 50% on the worst caserunning time complexity over the best known existing ones.
Determinants of South Africa’s agri-food export performance: Gravity model approach
Authors: Mamashila Mokgoshi John
Published: July 2024

The central aim of this study was to investigate the determinants of South Africa's export growth and the challenges associated with agri-food products. To satisfactorily achieve this central aim, two specific objectives were set and addressed differently in this research work. Porter’s Diamond framework was followed to identify factors that influence the export performance of South Africa’s agri-food products, thereby identifying major challenges and opportunities for sustained growth, and the gravity model was applied to examine the main factors influencing South Africa’s agri-food exports to its major trading partners in Africa for the period 1996–2017. The study analyzed and interpreted the results using both primary and secondary data. The study aimed to pinpoint the elements that impact the export performance of South Africa's agri-food products, thereby pinpointing significant obstacles and prospects for long-term expansion. We collected primary data using a structured questionnaire, randomly selecting and interviewing 117 out of 137 respondents. The findings revealed that a scarcity of skilled labor, the expense of skilled labor, the availability of electricity, the cost of raw materials, the cost of advanced technology, transportation expenses, scientific research institutions, pricing, tariffs, language barriers, and crime are the primary barriers to the exportation of agri-food by South African firms. The researcher used 28 countries as export markets to examine factors influencing South Africa's agri-food exports, and the results showed that the size of the economy, geographical proximity, and currency devaluation had a huge effect on exports of agri-food products.
Marketing channel choice and its determinants among small-scale oil palm fruit farmers in Akwa Ibom State, the southern region of Nigeria
Authors: Edet Glory Emmanul , Akpan Sunday Brownson , Patrick Ini-mfon Vincent
Published: July 2024

The study identified preferred marketing channel choices and determinants among oil palm fruit farmers in the southern region of Nigeria. Three hundred oil palm fruit farmers were randomly selected using the multi-stage random sampling technique. Descriptive statistics and logit regression techniques were employed to analyze the collected data. The socio-economic characteristics revealed that female farmers dominated oil palm fruit production in the region. The majority of the farmers were relatively young, literate, and had moderate household sizes but poor social capital accumulation. The study determined that the major marketing channels preferred by oil palm fruit farmers in the region were middlemen/agent marketing and direct sales in local markets. The empirical result identified oil palm fruit farmers’ education, experience, socialization, dependent ratio, non-farm income, farm income, land size, and access to credit as significant positive determinants of the choice of middlemen/agent marketing channel. Conversely, the researchers identified household size as a significant negative determinant. Moreover, marital status and household size significantly and positively influenced the choice of direct sales in the local market. On the contrary, the oil palm fruit farmers’ education, experience, non-farm income, farm income, farmers’ age, distance to the market, hectare of land, and access to farm credit have a significant negative relationship with the choice of direct sales in the local market. For a better and more efficient choice of marketing channel, oil palm farmers should improve their literacy level and build up social capital.