bluuebunny/crossref_metadata_2025 huggingface dataset:
Dinâmica das relações dos trabalhadores migrantes nordestinos no Triângulo Mineiro / Alto Paranaíba, MG, Brasil
Authors: Araújo Daniel Féo Castro de , Araújo Sobrinho Fernando Luiz
Published: May 2022

Este artigo propõe demonstrar o processo de construção e reprodução das múltiplas identidades e sociabilidades existentes entre os trabalhadores assalariados, de origem nordestina, que migraram para Ituiutaba, Minas Gerais, e dos moradores locais. A migração desses trabalhadores é de caráter pendular e, às vezes definitiva, sendo motivadapela oferta de empregos no complexo sucroenergético, principal atividade econômica do município. A metodologia utilizada para o desenvolvimento da pesquisa tem por base inicial a revisão bibliográfica para a busca de referenciaispara o entendimento do fenômeno e também para a construção de referencial teórico articulado às demais etapas do estudo, tais como o levantamento de dados de fontes primárias por meio da realização de trabalho de campo e entrevistas, cujo objetivo foi identificar e dar voz aos sujeitos sociais envolvidos nas migrações, possibilitando examinaras relações dos migrantes com o uso de tecnologias, educação e relações de trabalho. Destaca-se que as entrevistas, bem como a identificação dos sujeitos e o uso de suas falas, foi autorizada mediante assinatura de termo de consentimento. Sendo assim, buscamos, por meio das ferramentas, isto é, pelos conceitos nomeados, aliar teoria e realidade ao procurar compreender a imbricação entre os eventos concretos materiais e imateriais e a análise, ou seja, aquilo praticado cotidiana e geograficamente pelos sujeitos teorizando-a. Isso implica buscar refazer, invariavelmente, a teoria com a prática e vice-versa, numa revisão teórico-empírica dos fenômenos, enfim, das relações socialmente produzidas aqui, e, em especial, pela e na dinâmica migratória. Como resultado da pesquisa temos a criação de novas denominações locais, como “tijucanos” e “alagoanos”, que refletem a segregação socioespacial entre moradores locais e migrantes.
Dinâmica agrária e Reprodução social dos Agricultores de Rolador, Rio Grande do Sul
Authors: Tonin Jeferson , Wives Daniela Garcez , Silva Neto Benedito , Machado José Tobias Marks
Published: May 2022

O objetivo principal deste trabalho é elucidar e analisar a dinâmica agrária sob a ótica da reprodução social dos agricultores do município de Rolador-RS. Para tanto, utilizou-se a Teoria dos Sistemas Agrários, operacionalizada por meio da Análise-Diagnóstico de Sistemas Agrários (ADSA), que prevê a construção de uma tipologia dos agricultores locais e, a partir disso, a realização de uma análise econômica dos tipos de agricultores. Após isso, os dados da estrutura fundiária são cruzados com os indicadores socioeconômicos para apreender a dinâmica agrária local sob a lógica da reprodução social. Finalizado o trabalho, ficou evidente a heterogeneidade que caracteriza o contexto agrário local, principalmente por conta dos tipos de agricultores que o compõem. Ademais, identificou-se uma intensa minifundização que contrasta com um processo de concentração produtiva. Além disso, uma parte dos agricultores locais encontra-se em dificuldade de reprodução social no contexto da agricultura de Rolador.
Elementos da Inovação Social para a Promoção do Consumo Sustentável: A Validação de um Framework com especialistas
Authors: Araújo Angélica Catarine da Mota , Oliveira Verônica Macário de , Correia Suzanne Érica Nóbrega
Published: May 2022

O objetivo deste estudo foi validar um framework com os elementos da inovação social que podem contribuir para promoção do consumo sustentável. Para tanto, foi realizada uma pesquisa exploratória com a abordagem qualitativa, por meio da técnica de Focus Group na qual participaram oito especialistas. Os elementos iniciais do framework foram extraídos da literatura e foram organizados em três dimensões: 1) Transformação social; 2) Novas práticas de produção e consumo; 3) Mudança cultural. Após a análise dos especialistas, o resultado do Focus Group possibilitou concluir que a inovação social pode contribuir para o consumo sustentável, através das seguintes dimensões: Atores, Inovação, Mudança Cultural e Social e Transformação Social. Para cada uma dessas dimensões foram discutidas e elencadas as suas categorias de análise. Considera-se que os elementos identificados podem contribuir para o consumo sustentável porque buscam produzir com menos recursos, aproveitando as potencialidades locais, promovendo a adoção de novas práticas de produção e consumo que se refletem em mudanças estruturais. No entanto, o avanço em estruturas de consumo sustentáveis por meio de inovações sociais depende de mecanismos de sensibilização, educação e institucionalização de práticas sociais que remetem questões não só do processo de satisfação de necessidades, mas de politização na base da sociedade e de articulação entre atores sociais, organizacionais e institucionais.
Parques Tecnológicos: Uma Análise das Publicações da Última Década
Authors: Bresciani Sirlene Aparecida Takeda , Souza Duarte Miranda Francieli , Teixeira Clarissa Stefani , Johann Denise Adriana , Biz Alexandre Augusto
Published: May 2022

O tema Parques Tecnológicos tem ganhado popularidade por se tratar de ambientes promotores da cultura de inovação na produção de conhecimento tecnológico, que contribuem para o desenvolvimento econômico e social das regiões onde atuam. Diante disso, o objetivo desse estudo foi demonstrar o panorama das publicações sobre parque tecnológico na coleção de base de dados Web of Science e Scopus,  no período de 2010 a 2020. Para tanto, utilizou-se a técnica bibliometrica, com o tópico “technological park”, sendo encontrados o total de 133 publicações, as quais 42 encontram-se disponíveis na WoS e 91 na base Scopus. Os dados encontrados identificaram que a maior  frequência de publicações foi no ano de 2018, com o total de 26. Os autores que mais publicaram foram Nagano e Vick. O país com maior frequência foi o Brasil, com 52 publicações. O idioma é inglês e o tipo de documento é artigo científico. Já, a área de pesquisa é Engenharia e a instituição é a Universidade de São Paulo. Em relação à quantidade de citações, tem-se o total de 174.  Após,  gerou-se um mapa de clusters de cocitações e de palavras-chave. No decorrer do trabalho, foi possível verificar a importância e utilidade do uso da técnica bibliométrica para análise de dados disponíveis em bases. Quanto às limitações, nesse estudo não foram filtrados estudos duplicados em ambas as bases, portanto, sugere-se que futuros estudos façam essa tarefa e, portanto, recomenda-se realizar um estudo sistemático e a construção de uma agenda de pesquisa.
Estudos sobre o Ato de Presentear no Brasil: Uma Análise Bibliográfica
Authors: De Freitas de Lapedra Ana Tereza , Carlos da Silva Mayra , Pepece Olga Maria Coutinho
Published: May 2022

O ato de presentear envolve diversos agentes e fatores influenciadores que tornam esse processo de consumo complexo, atraindo o interesse de estudos de diversas áreas do conhecimento. Para vislumbrar como a temática vem sendo desenvolvida no Brasil, o presente estudo tem como objetivo principal mapear a evolução das pesquisas sobre o ato de presentear no país desde o seu primeiro estudo até o mês de dezembro de 2020. A presente pesquisa foirealizada nos bancos de teses e dissertações brasileiras; nas plataformas Google Scholar; Portal de Periódicos Capes; Anpad; Ebsco; Proquest; Spell; e nos currículos Lattes dos autores identificados. As 82 publicações encontradas sobre o ato de presentear no Brasil foram analisadas de maneira descritiva e classificadas de acordo com os anos de publicação.Também foram analisados os temas e subtemas abordados, bem como os procedimentos metodológicosempregados. Evidenciou-se que as publicações sobre o ato de presentear no Brasil tiveram início em 2000; os principais temas investigados abordam principalmente os pressupostos do ato de presentear, as etapas do processo de compra e o caráter das relações entre presenteador e presenteado.
Osteogenic differentiation: a universal cell program of heterogeneous mesenchymal cells or a similar extracellular matrix mineralizing phenotype?
Authors: Lobov Arseniy , Malashicheva Anna
Published: May 2022

Despite the popularity of mesenchymal stem cells (MSCs), many fundamental aspects of their physiology still have not been understood. The information accumulated to date argues that MSCs from different sources vary in their differentiation potential and, probably, in molecular mechanisms of trilineage differentiation. Therefore, this review consists of two parts. Firstly, we focus on the data on inter- and intra-source variation of MSCs. We discuss in detail MSC variation at the single-cell level and direct omics comparison of MSCs from four main tissue sources: bone marrow, adipose tissue, umbilical cord and tooth. MSCs from all tissues represent heterogeneous populations in vivo with sub-populational structures reflecting their functional role in the tissue. After in vitro cultivation MSCs lose their natural heterogeneity, but obtain a new one, which might be regarded as a cultivation artifact. Nevertheless, MSCs from various sources still keep their functional differences after in vitro cultivation. In the second part of the review, we discuss how these differences influence molecular mechanisms of osteogenic differentiation. We highlight at least one subtype of mesenchymal cells differentiation with matrix mineralization — odontoblastic differentiation. We also discuss differences in molecular mechanisms of pathological heterotopic osteogenic differentiation of valve interstitial and tumor cells, but these assumptions need additional empirical confirmation. Finally, we observe differences in osteogenic differentiation molecular mechanisms of several MSC types and argue that this differentiation might be influenced by the cell context. Nevertheless, bone marrow and adipose MSCs seem to undergo osteogenic differentiation similarly, by the same mechanisms.
Forecasting water quality using seasonal ARIMA model by integrating in-situ measurements and remote sensing techniques in Krishnagiri reservoir, India
Authors: Abdul Wahid A. , Arunbabu E.
Published: May 2022

The Krishnagiri reservoir is the main source of irrigation in Tamil Nadu, India. It has been reported to be hypereutrophic for over a decade with sediment and nutrient load sources responsible for the degradation of water quality. Remotely sensed satellite imagery analysis plays a significant role in assessing the water quality for developing a management strategy for reservoirs. The present study is an attempt to demonstrate the improvement in the chlorophyll-a (chl-a) estimation in the Krishnagiri reservoir by integrating remote sensing and in-situ measurements. Multiple regression equations were developed with the reflectance of Green, Red, NIR and SWIR1 bands of the Operational Land Imager (OLI) sensor of Landsat 8 satellite yielded the coefficient of determination for chlorophyll-a (chl-a) as 0.812, total dissolved solids (TDS) as 0.945 and electrical conductivity (EC) as 0.960 respectively. The developed regression model was further utilised to forecast chl-a and EC of the reservoir through the seasonal auto regressive integrated moving average (SARIMA) model. It is found that chl-a prediction showed that the reservoir continued to be hypereutrophic and EC significantly changed from a class C3 (high salinity) to class C4 (very high salinity). These results are alarming and an immediate reduction of the external load from the catchment through effective watershed management programs should be implemented.
Exploring the Interactions Between Algae and Bacteria
Authors: Nowruzi Bahareh , Shishir Md. Asaduzzaman , Porzani Samaneh J. , Ferdous Umme Tamanna
Published: May 2022

Humans have used algae for hundreds of years to make various products viz. agar, fertilizer, food, and pigments. Algae are also used in bioremediation to clean up polluted water and as essential laboratory tools in genomics, proteomics, and other research applications such as environmental warnings. Several special features of algae, including the oxygenic photosynthesis, higher yield in biomass, growth on the non-arable lands, their survival in a wide range of water supplies (contaminated or filtered waters), the production of necessary byproducts and biofuels, the enhancement of soil productivity, and the greenhouse gas emissions, etc. altogether rendered them as vital bio-resources in the sustainable development. Algae and bacteria have been assumed to coexist from the early stages of the development of the earth, and a wide variety of interactions were observed between them which have influenced the ecosystems ranging from the oceans to the lichens. Research has shown that bacteria and algae interact synergistically, especially roseobacter- algae interactions being the most common. These interactions are common to all ecosystems and characterize their primary efficiency. The commercialization of algae for industrial purposes, an important field, is also influenced by this interaction which frequently results in bacterial infections among the consumers. However, the recent findings have revealed that the bacteria improve algal growth and support flocculation which are very crucial in algal biotechnology. Some of the most exciting advancements in the area of algal biotic interactions and potential difficulties were reviewed in this article. Information gleaned in this study would provide a firm foundation for launching more contemporaneous research efforts in understanding and utilizing the algal species in biotechnology industries and medical sectors.
An Inclusive Perception on Pathogenesis, Epidemiology and Risk Factors Associated With Mycobacterium tuberculosis
Authors: Dwivedi Manish , Bhat Mahima , Radha Krishnan Aiswarya
Published: May 2022

Tuberculosis is one of the most common and oldest human afflictions caused by the deadly pathogen, Mycobacterium tuberculosis. Its infection is drastically increasing worldwide with time despite the application of various antibiotics and live attenuated vaccines. The major risk factor associated with tuberculosis is the long-term malfunction of the respiratory system that increases deaths, whereas the continuous emergence of drug-resistant MTB strains (MDR/TDR/XDR) acts as a driving force to accelerate additional obstacles to humankind. Researchers are effortlessly in-volved in a systematic examination of tuberculosis and drug designing against it, but still, we could not find a permanent cure for tuberculosis. Therefore, it is extremely necessary to analyse patho-genesis, epidemiology, and associated risk factors to plan an overall strategy against this deadly dis-ease. In the present study, we have gone through a comprehensive literature survey to provide all related information that may assist us in understanding this disease and designing strategic plan-ning. This study would fill the gap created due to a lack of knowledge on MTB infection and mo-lecular mechanisms, which is the biggest hurdle in finding a therapeutic lead against tuberculosis.
Digital Technology and Media Use by Adolescents: Latent Class Analysis (Preprint)
Authors: Moreno Megan A , Binger Kole , Zhao Qianqian , Eickhoff Jens , Minich Matt , Uhls Yalda Tehranian
Published: May 2022

BACKGROUND

Digital technology and media use is integral to adolescents’ lives and has been associated with both positive and negative health consequences. Previous studies have largely focused on understanding technology behaviors and outcomes within adolescent populations, which can promote assumptions about adolescent technology use as homogeneous. Furthermore, many studies on adolescent technology use have focused on risks and negative outcomes. To better understand adolescent digital technology use, we need new approaches that can assess distinct profiles within study populations and take a balanced approach to understanding the risks and benefits of digital technology use.

OBJECTIVE

The purpose of this study was to identify profiles of adolescent technology use within a large study population focusing on four evidence-based constructs: technology ownership and use, parental involvement, health outcomes, and well-being indicators.

METHODS

Adolescent-parent dyads were recruited for a cross-sectional web-based survey using the Qualtrics (Qualtrics International, Inc) platform and panels. Technology use measures included ownership of devices, social media use frequency, and the Adolescents’ Digital Technology Interactions and Importance scale. Parent involvement measures included household media rules, technology-related parenting practices, parent social media use frequency, and the parent-child relationship. Health outcome measures included physical activity, sleep, problematic internet use, and mental health assessments. Well-being indicators included mental wellness, communication, and empathy. We used latent class analysis (LCA) to identify distinct profile groups across the aforementioned 4 critical constructs.

RESULTS

Among the 3981 adolescent-parent dyads recruited, adolescent participants had a mean age of 15.0 (SD 1.43) years; a total of 46.3% (1842/3981) were female, 67.8% (2701/3981) were White, and 75% (2986/3981) lived in a household with an income above the poverty line. The LCA identified 2 discrete classes. Class 1 was made up of 62.8% (2501/3981) of the participants. Class 1 participants were more likely than Class 2 participants to report family-owned devices, have lower technology importance scores, have household technology rules often centered on content, have positive parent relationships and lower parent social media use, and report better health outcomes and well-being indicators.

CONCLUSIONS

Findings from this national cross-sectional survey using LCA led to 2 distinct profile groups of adolescent media use and their association with technology use and parent involvement as well as health and well-being outcomes. The two classes included a larger Class 1 (Family-Engaged Adolescents) and a smaller Class 2 (At-Risk Adolescents). The findings of this study can inform interventions to reinforce positive technology use and family support.
COVID-19 Misinformation Detection: Machine Learned Solutions to the Infodemic (Preprint)
Authors: Kolluri Nikhil Leland , Murthy Dhiraj
Published: May 2022

BACKGROUND

Due to the volume of COVID-19-related misinformation exceeding the capabilities of fact checkers, automated and web-based approaches can provide effective deterrents to online misinformation. Despite the progress of initial, rapid interventions, the volume of COVID-19-related misinformation remains immense and continues to overwhelm fact checkers.

OBJECTIVE

Improvement in automated and machine-learned methods for infodemic response.

METHODS

Machine learning was used to evaluate whether training a machine learning model on only COVID-19-related fact-checked data, only on general fact-checked data, or on both would result in the highest model performance. Fact-checked, ‘false’ content was combined with programmatically-retrieved ‘true’ content to create a COVID-19-related labeled misinformation dataset with ~7,000 entries. 20,000 votes were crowdsourced to human label this dataset.

RESULTS

We found that although inclusion of COVID-19 misinformation data maintained or improved model performance, the best-performing model tested used a combination of general-topic and COVID-19-topic content. Our Bi-LSTM model trained on COVID-19 specific data achieved an internal validation accuracy of 93% and external validation accuracy of 75%, confirming the utility of our model. A crucial contribution of our study is that we were able to build a combined model that outperformed human votes of misinformation. Specifically, when we considered outputs where the machine learning model agreed with human votes, we achieved an accuracy of 90%, which outperformed human votes alone (accuracy of 73%).

CONCLUSIONS

General-topic content may supplement limited amounts of specific-topic content in low-data situations (e.g., future pandemics) to increase accuracy. Achieving an external validation accuracy of 75% with a Bi-LSTM shows that machine learning can produce much better-than-random results for the difficult task of classifying the veracity of COVID-19 content. The 90% accuracy on a “high-confidence” subsection comprising 58.7% of the dataset (when combining machine learned and human labels) suggests that even suboptimal machine learned labels can be augmented with crowdsourced votes to improve accuracy above human-only levels. These results support the utility of supervised machine learning to deter and combat future health-related disinformation.
Empowering Healthcare Workers on Social Media to Bolster Trust in Science and Vaccination During the Pandemic: Making IMPACT Using a Place-Based Approach (Preprint)
Authors: Jain Shikha , Dhaon Serena R , Majmudar Shivani , Zimmermann Laura , Mordell Lisa , Walker Garth , Wallia Amisha , Akbarnia Halleh , Khan Ali , Bloomgarden Eve , Arora Vineet M
Published: May 2022

BACKGROUND

Given widespread and concerted efforts to propagate health misinformation on social media, particularly centered around vaccination during the pandemic, many groups of clinicians and scientists organized on social media to tackle misinformation and promote vaccination using a national or international lens. While documenting the impact of such social media efforts, particularly at the community level, can be challenging, a more hyperlocal or “place-based approach” for social media campaigns could be effective at tackling misinformation and improving public health outcomes on a community level.

OBJECTIVE

To describe and document the effectiveness of a place-based strategy for a coordinated group of healthcare workers on social media from Chicago to tackle misinformation and improve vaccination rates in their own communities.

METHODS

The Illinois Medical Professionals Action Collaborative Team (IMPACT) was founded in March 2020 in response to the COVID-19 pandemic with representatives from major academic teaching hospitals in Chicago (University of Chicago, Northwestern University, University of Illinois, Rush University) and community-based organizations. Through crowdsourcing on multiple social media platforms (Facebook, Twitter, Instagram) with a place-based approach, IMPACT engaged grassroots networks of thousands of Illinois healthcare workers and the public to identify gaps, needs, and viewpoints to improve local healthcare delivery during the pandemic.

RESULTS

To address vaccine misinformation, IMPACT created 8 “myth debunking” infographics and 14 informational vaccine infographics that have generated >340K impressions and informed the development of vaccine education for the Chicago Public Libraries. IMPACT delivered 13 policy letters focusing on different topics (i.e. healthcare worker personal protective equipment, universal masking, vaccination) with >4000 healthcare workers (HCWs) signatures collected through social media to policymakers, published over 50 op-eds on COVID-19 topics in high impact news outlets, and contributed to >200 local and national news features.

Using the crowdsourcing approach on IMPACT social media channels, IMPACT mobilized healthcare and lay volunteers to staff over 400 vaccine events for over 120,000 individuals, many in Chicago’s hardest-hit neighborhoods. The group’s recommendations have influenced public health awareness campaigns and initiatives, research, advocacy, and policy recommendations, and have been recognized with local and national awards.

CONCLUSIONS

A coordinated group of healthcare workers on social media using a hyperlocal place-based approach can not only work together to address misinformation but can also collaborate to boost vaccination rates in their surrounding communities.
Telerehabilitation for Low Back Pain: A Systematic Review and Meta-analysis (Preprint)
Authors: He Hongchen
Published: May 2022

BACKGROUND

Telerehabilitation serving as a specific form of Digital Therapy, draws much attention for individuals with low back pain (LBP) in recent years. To facilitate the accessibility of medical care, telerehabilitation has been reported to have positive role in improving the symptoms of LBP patients through online exercise guiding, medicine uptake, cognitive behavior treatment, and feedback from wearable devices.

OBJECTIVE

To conduct a systematic review to investigate the feasibility, safety and efficacy of telerehabilitation for individuals with low back pain.

METHODS

The database of PubMed, Ovid, Embase and Web of Science were searched from inception through June 20,2021.Randomized controlled trials were chosen for data analysis with the main outcomes and measures being pain intensity, disability and function.

RESULTS

Of 3190 articles searched, 12 studies from 6 countries were included and 5 studies were in the meta-analysis. The result showed telerehabilitation could be effective for LBP on reduction of pain intensity (SMD = -0.40; 95% CI= [-0.80,0.00], P =0.05) and improvement of disability (SMD = -0.17; 95% CI= [-0.46,0.12], P =0.24) and function (SMD = 0.42; 95% CI= [0.01, 0.83], P =0.04). Telerehabilitation did not provide superiority of outcome when compared to the usual rehabilitation. Only 2 studies reported adverse events that were identified not from the remote intervention. Telerehabilitation via internet-based models or services showed a promising effect on the reduction of opioid use and improvement of rehabilitative education for the LBP individuals.

CONCLUSIONS

In this systematic review, telerehabilitation has been proved to be effective for the individuals with LBP in the community setting or at home. No adverse events related to remote intervention have been reported. The current evidence is not sufficient to support the superiority of telerehabilitation for LBP when compared to the usual rehabilitation. Robust clinical trials are needed to explore the optimal telerehabilitation care with internet-based models or services to promote the symptoms of LBP patients.
Investigating the use of an Artificial Intelligence Model in an ERP Cloud-Based System
Authors: Yathiraju Nikhitha
Published: May 2022

Enterprise Resource Planning (ERP) systems are necessary to improve an enterprise's management performance. However, the perception of information technology (IT) professionals about the integration of artificial intelligence (AI) and machine learning with ERP cloud service platforms is unknown. Few studies have examined how leaders can implement AI for strategic management, but no study has qualitatively explored AIs integration in the cloud ERP system. This qualitative phenomenological study explored IT professionals’ perceptions regarding the integration of AI and Supervised-machine (S-machine) learning into cloud service platforms in the enhancement of the cloud ERP system. Two research questions were developed for this study: 1) What are the perceptions of IT professionals regarding the use of an AI model to integrate SaaS and ERP? and 2) What are the perceptions of IT professionals regarding how AI can be integrated in order to enhance the security of using an ERP cloud-based system? Through a hermeneutical lens and a focus on integrating the Application Programming Interface (API), purposive sampling was used to interview five AI experts, three Machine Learning (ML) experts, five Cybersecurity experts, and two Cloud Service Providers provided their lived experiences with AI and S-machine learning. Five main themes emerged, including 1) use of an AI model to integrate SaaS and ERP helped perform work efficiently, 2) challenges for integrating AI into cloud service ERP and SaaS, 3) resources needed to fully implement an AI into cloud-service ERP or SaaS, 4) the best practices for developing and implementing an AI model for ERP and SaaS, and 5) how security of an ERP clouds-based system is optimized by integrating AI. The culmination of these findings has positive implications for individuals and organizations to improve management performance. While this study does not proposal a new theory, this study extends current literature on the application of theories related to technology integration.
Colonizing the Wild Elephant of Cachar (1850-1950)
Authors: Choudhury Mohd. Shakir Hussain , Mazumdar Habibullah
Published: May 2022

Elephants have always played a significant role in Cachar's history. Elephant hunting was a monopoly of the British government in India during colonial rule as of its strategic importance. Elephants were given special attention by colonial officials because of their ability to navigate forests, their Tusks, and their role in hunting. The elephant capturing and management procedure was under British authority because it was one of the most important sources of revenue for the British government. Due to the poor transit system, the colonial rulers kept number of elephants on hand to perform various tasks. The purpose of this paper is to study how elephants were colonized in Cachar. Elephants provide both access and revenue to the government. The capture of elephants (Kheddah), access, and elephant revenue are all explored in this paper. The function of elephants in the Cachar's economic existence is also investigated and analyzed in this study. The research looks on the use of elephants to carry government officials during military operations in Cachar, as well as their role in forest management.
R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 7
Authors: Simpson Alex , Ramagopalan Sreeram V
Published: May 2022

This month we focus on papers that provide insights into the potential for target trial emulation to be used in health technology assessment, the role of real-world evidence (RWE) in informing additional elements of value and the importance of RWE to European joint clinical assessments.
Design and Development of a System-Based Application for Reading and Learning Ayurveda Sutras
Authors: BS Jananya , N Pavana , SM Ayush Dravid , Manjula Dr. G , P. V. Dr. Arpana
Published: May 2022

Abstract: The main objective of this application is to provide the user with better understanding and learning the ayurvedic sutras. Because most of the ayurvedic sutras are based on sanskrit. It is difficult for everyone to learn and understand the same. So, with this application user can understand the sutras and implement it. The basic idea of this application is to provide the user with audio of the sutra and the context of that particular sutra. Keywords: Ayurveda Sutra, Ayurveda shloka, meaning, sandhi, sandhi splitter.
A System on Automated Database and API (Application Programming Interface) Management
Authors: Gadia Riddham , Shah Rushank , Varshney Shashank , Sawant Vinaya
Published: May 2022

Abstract: Web development is a skill that is high in demand, but acquiring it requires a lot of hard work and experience. Managing the frontend is easy but managing the backend and the database is highly daunting. It requires lots of practice. Hence this makes web development complicated. So, a brief analysis has been done on the existing system like Amazon API Gateway, Firebase, and Google Apigee. Also, this paper shows a comparative study of various data transfer formats and techniques. This paper mainly focuses on a novel approach for automated database and API management that resolves the drawbacks in the existing systems. This system will ensure ease of use and a faster development process in terms of front-end and back-end connectivity. The new system focuses on building an architecture that is both scalable and secure from a backend and database perspective. Keywords: Cloud Computing, Firebase, Amazon API Gateway, Google Apigee, REST, SOAP, XML, JSON, Automated Database Management System.
Solo IOT Devices to Capture Video and Audio Evidences
Authors: Shelly Rishi , Salvi Sarvesh , Solanki Neel
Published: May 2022

Abstract: Due to an increased sense of security, such as CCTV and RFID, there has been an increase in video surveillance systems in public and private spaces in recent years. There are various flaws in video surveillance systems, including unclear images, complex structures, poor stability, the requirement for a lot of storage capacity to retain surveillance data, and relatively high prices. This study presents a real-time security surveillance system based on the Internet of Things. As a default programming environment, the system uses the Motion Detection algorithm developed in Python. This reduces storage requirements and lowers investment costs.. The algorithm for Motion Detection is being implemented on the Raspberry Pi 2 and Pi camera, which enables live video streaming with motion detection and alarm when motion is detected, as well as sending photographs and movies to a cloud server directly via the Pi camera. When the cloud is unavailable, the data is saved locally on the Raspberry Piand delivered whenever the connection is restored. The camera isinstalled on the motor, and the user controls its movement (Left/Right) via an IoT webpage, giving the user a better view of the surroundings. Keywords: Internet of things, Pi Camera, Raspberry pi, MotionDetection.
A Review: Informing Disasters management by Using Twitter Tweets
Authors: Naikwade Ashish Vijay
Published: May 2022

Abstract: Recently social media plays a major role and providing information during disasters. This paper mainly focuses on how people used social media, especially Twitter, in response to the country's worst flood, Earthquake that had occurred recently. And these tweets collecting analyzed using machine learning algorithms such as Naïve Bayes, Random Forests, Decision Tree, sentiment Analysis during the disaster social media provides a surplus of information which includes information about the natural disaster, affected people's emotions, and relief efforts. And collect the tweets relating to disasters and build the sentimental classifier to categorize the user’s emotions during disaster based on various distress levels. Various analysis techniques are applied in collecting tweets. Keywords: Twitter Analysis, Sentiment Analysis, Random Forests, Naive Bayes, Decision Tree
Design and Performance Analysis of Short Time Fourier Transform Processor
Authors: Neralla Manikanta
Published: May 2022

Abstract: Time-frequency domain characterization of signals have always been focused on variants of Short time Fourier transform (STFT). The selection of transform kernel plays an important role in preserving the signal support which provides a cross-term free time-frequency distribution. Time-Bandwidth product has been taken as a measure of signal support preservation criteria thereby developing an optimal kernel for STFT based on linear canonical decomposition. In the development of kernel , Fractional Fourier Transform (FrFT) is used which provides noise free frequency domain representation .With the help of developed transform kernel , the magnitude-wise shift invariance property is verified and timefrequency content is analyzed by plotting spectrogram. Keywords: STFT, FrFT, kernel, Time-Bandwidth product, spectrogram.
Online Shopping E-commerce Android Application and E-commerce Website Development
Authors: Kamble Mr. Pratik , Kamble Ms. Sneha , Jadhav Ms. Neha
Published: May 2022

Abstract: We are designing an app that directly sells its products to the customer. As compared to other apps which have tie-ups with multiple retailers. Eg: Amazon is an online shopping App which is collaborated with multiple companies; So Amazon becomes the 3rd party vendor. Due to our App there will be no such 3rd party vendor in the whole sale process because by using our App customers will be directly connected to the manufactures of the products. By using this application customers can directly get the required products of the Company directly from the company that to in manufacturing rates. By using the website of our client one will be able to compare wide range of products and also be able to purchase those. This report will be consisting all the design plan of the app as well as the design plan for the client website & Search Engine Optimization for the same. Keywords: E-Commerce, Website Development, Android App Development
Modified Hill Cipher Algorithm using Myszkowski Transposition to address Known-Plaintext attack
Authors: Barrieta Raymond G. , Canlas Aleksis S. , Cortez Dan Michael A. , Mata Khatalyn E.
Published: May 2022

Abstract: Hill Cipher algorithm is a Polygraphic cipher known to be vulnerable to the Known-Plaintext attack. It is a type of attack wherein the attacker has access to a pair of Plaintext and Ciphertext. Possible leaked information can be used to reveal critical data which can include the private key that is used in the encryption of the plaintext. In this study, the researchers propose an improved scheme by incorporating Myszkowski transposition in the algorithm to address the specified problem. Runtime Test and Statistical test such as the Avalanche effect were used to evaluate the performance of the algorithm. The test yielded a 25.70% faster runtime based on previous modifications and a 52.78% Avalanche Effect. Randomness test such as the Monobit test, Runs Test and Longest Run of Ones in a Block test were applied to evaluate the ciphertext produced. The criterion for the Randomness Test requires its p-value to be greater than 0.01, the evaluation showed a 0.249, 0.167 and 0.368 p-value, respectively. The proposed scheme proved that the algorithm is cryptographically secure and efficient as all tests yielded favorable results. Keywords: Cryptography, Hill Cipher, Encryption, Decryption, Key Generation
The Linklet Project: A Solution to Your Documentation Needs
Authors: Kavale Hrishikesh , Bhatt Aastha , Manjrekar Sunny , Pandey Aditya , Rane Ms. Vaishali
Published: May 2022

Abstract: This paper describes about a solution to your pdf and documentation needs on you mobile phone. This is a paper on a mobile app created by Aastha Bhatt, Hrishikesh Kavale, Aditya Pandey and Sunny Manjrekar as our final year project. The name of the app is LINKLET. Converting images to pdf or excel to pdf, scanning of barcodes for invoices or merging or removing pages from pdf is never an easy task. And even if we somehow manage to pull it off the accuracy of such systems is questionable, then again all applications which provide such features are paid. The problem faced by us students during the online system of education is what sparked this project, we were required to scan our assignments, convert them into pdf , receive pdfs from our teachers and modify them or add our documents to them, etc and though all of this is easy on a computer not all students have access to it. Also it is a hassle to search our important documents in the download folder of our phone and present it when required on the spot. So as a solution we have created an app which provides major features like merging of pdf, extract images from pdf, convert pdf to image and image to pdf ,etc. Also providing a feature to store all our important documents in a single place for handy access along with security features like finger print lock. The aim was to create a handy tool for the students to ease their work and an app for everyone to carry their important documents around in a safe and secure manner ready to present when asked by officials anytime anywhere without having the need to carry it on person. The approach we took for this project was a simple one. We asked ourselves and our peers as to what problems we are facing , looked up for online solutions , developed the application by referring various tutorials. The experimental results of the app evidently demonstrate the effectiveness of the proposed system. Keywords: LINKLET, PDF, conversion, document, app.
The Continuous Acceptance Sampling of Truncated Frechet Distribution Based on CUSUM Schemes
Authors: Annapurna N. , Akhtar Dr. P. Mohammed , Venkatesulu Dr. G. , Dhanunjaya Dr. S.
Published: May 2022

Abstract: Acceptance sampling plans were evaluated to draw valid conclusions regarding lots of finished products. Based on the assumption that the variable under consideration is distributed according to a Frechet distribution, CASP-CUSUM schemes are presented here for optimizing Type-C OC curves and ARLs. The Truncated Frechet distribution, its Type-C OC curve values, and ARL values at different shapes parameters were determined under this assumption. Finally, we determined an optimal CASP-CUSUM scheme that maximizes PA. Keywords: CASP – CUSUM Schemes, Type-C OC curves, ARL Values, Truncated Frechet distribution.
Providing an Attempt to Reduce Evaporation Losses of Dam, By Providing Solar Panels: A Case Study of Jayakwadi Project
Authors: Dhadve Aniket A , Gaikwad Buddhabushan R , Damse Vaibhav E , Hake Prashant T , Khadake Dr. N. V.
Published: May 2022

Abstract: Recently, the technology of floating photovoltaic panels has demonstrated several advantages over land installations, including faster deployment, less maintenance cost, and higher efficiency. Jayakwadi Dam is the second largest Earthen Dam in India with a surface area of 350 square km. Evaporation of water causes loss of very precious and scarce resources: freshwater. Fortunately, the lake is also located in a very rich area in solar energy. This paper presents a study to utilize Jayakwadi Dam surface for massive production of solar energy, while significantly reducing the loss of water by evaporation from the lake surface. The project has the potential to be one of the largest producers of low-cost clean electric energy in India. The study shows that the first phase of the project is expected todeliver about 86.12 MW/Day of electricity and save about 5.5 TMC per year of freshwater. The subsequent phases will provide low- cost green energy to replace the combustible fuels in Europe by 2045, while saving up to 10-12 billion m3 of freshwater lost by evaporation from Jayakwadi Dam. Keywords: Renewable energy, Evaporation Rate, solar power plants, floating Solar System, Case Study, Land Accusation.
Urban bio-social infrastructure as a patronized goods: institutional environment and structural changes
Authors: Bakhareva Olga V. , Azhimov Timur Z. , Azhimova Liliya I.
Published: May 2022

Introduction. Managing the development of the bio-social infrastructure of the city allows you to preserve natural objects in cities and create conditions for a healthy life in the conditions of high dynamics of urbanization in Russia. The aim of the study is to study and analyze the institutional environment for the development of urban forests as part of the natural frame of the city and changes in the structure using the example of the Igumnov forest (Kazan, Russia) Research objectives: recommendations for managing the development and structural changes of urban recreational forests as ward public goods of the city’s bio-social infrastructure and analysis of the institutional environment for the development of recreational urban forests in the city of Kazan.

Materials and methods. The study was carried out on the basis of historical data from open sources of the mayor’s office of the city of Kazan on the planning and implementation of investment projects for the management of urban forests, parks and other natural objects. The methods of structural analysis, functional analysis, the method of full-scale photographic fixation of forests and green spaces of Kazan were used.

Results. Qualitative changes in the structural and functional nature of the Igumnovskaya oak forest have been identified, which occurred at the stage of uncontrolled exploitation of a natural object in the absence of professional monitoring and care of the object, foreseeable development goals of the object. Development governance of natural objects as patronized goods is possible on the basis of institutions of public guardianship and city development.

Conclusions. Development institutions can study, diagnose the state of the city, taking into account the multifactorial nature of the socio-bio-technical system of the city, create an institutional environment for the development of public, natural and technical objects of the city, including the forest services market, organize scientific research, carry out professional monitoring and management of the development of the biosphere infrastructure of cities, to carry out joint active work with citizens on the development of urban natural objects.
Public procurement in construction. Suggestions for improvement
Authors: Pavlov Alexander S. , Ostrovskii Roman V.
Published: May 2022

Introduction. The first article of the series showed the main results of the analysis of regulatory documents on the organization of tenders for construction and design work in leading foreign countries. The second article analyzes the main provisions of the domestic tender legislation concerning the construction, reconstruction and design of capital construction facilities. This article is the final article of the cycle; it proposes a concept for the public procurement for construction projects and works.

Materials and methods. The authors tried not to touch on legal issues. They were mainly interested in organizational and economic problems faced by participants in the construction process. Therefore, various schemes of construction organization and models of behavior of participants in the created configurations of relationships were considered. New definitions of the basic concepts in the scope of normative documents are given.

Results. As a result of the study, the rules of conduct of participants in tender procedures – customers and applicants (designers, contractors) are proposed. At the same time, three phases of the object’s life cycle are considered: preparation for bidding, bidding and execution of contracts. There are two main types of the subject of the contract –– complex and particular contracts. For the first time, it is proposed to limit the indirect costs of manufacturers of materials, structures and equipment, which can lead to curbing inflation in construction.

Conclusions. It is advisable to initiate the development and adoption of a federal law on public procurement in the field of capital construction. It is necessary to consider the conclusion of complex contracts for the construction of facilities and private contracts for the performance of works, the supply of equipment and materials, and the provision of services. The contract with the technical customer should provide for a time reserve in comparison with the obligations of partial contractors.