bluuebunny/crossref_metadata_2025 huggingface dataset:
Ks. Władysław Piwowarski (1929–2001) jako socjolog religii
Authors: Mariański Janusz
Published: January 2023

Ksiądz prof. Władysław Piwowarski jest znany w kraju i za granicą przede wszystkim jako socjolog religii. Jego prace socjologiczne stanowią istotny element składowy (chciałoby się powiedzieć: klasyczny) polskiej socjologii religii, wyznaczały i wciąż wyznaczają jej rozwój (Marczewski 2006: 173–180; Święs 2004: 301–310). Większość z nich zamykała pewien etap rozwoju socjologii religii w Polsce i otwierała nowy. Trudno byłoby sobie dzisiaj wyobrazić gruntowne studia nad religijnością bez uwzględnienia socjologicznego dorobku ks. prof. Piwowarskiego. W niniejszym opracowaniu zwrócimy uwagę jedynie na wybrane aspekty jego koncepcji socjologii religii i socjologii Kościoła. Pomijamy jego naukowe osiągnięcia w zakresie socjologii moralności, socjologii rodziny, socjologii rytuału, filozofii społecznej, katolickiej nauki społecznej i teologii pastoralnej. Osiągnięcia Piwowarskiego w dziedzinie teorii, metodologii socjologii religii oraz badań empirycznych pozwalają stwierdzić, że jest on twórcą lubelskiej szkoły socjologicznej.
Powołanie kapłańskie, kapłaństwo hierarchiczne i kapłani w świetle koncepcji socjologicznych i w ujęciu dorosłych katolików polskich. Na podstawie wyników badań socjologicznych w latach 1986–1987 w Kaliszu, Kotłowie i Przedborowie
Authors: Baniak Józef
Published: January 2023

Artykuł składa się z dwóch części – teoretycznej i empirycznej. W części teoretycznej prezentuję różne socjologiczne koncepcje powołania kapłańskiego, kapłaństwa hierarchicznego i zawodu księdza katolickiego, z wyeksponowaniem koncepcji Edwarda Ciupaka i Joachima Wacha. W części empirycznej ukazuję powołanie kapłańskie, kapłaństwo hierarchiczne i kapłanów w wyobrażeniach i ocenie badanych przeze mnie dorosłych katolików polskich w latach 80. XX wieku. Uwzględniam tu następujące kwestie: ujęcie istoty powołania kapłańskiego; strukturę kapłaństwa hierarchicznego; okoliczności określające religijny charakter kapłaństwa hierarchicznego. Inaczej mówiąc, odpowiadam na następujące pytania: jak badani wówczas przeze mnie dorośli katolicy miejscy w Kaliszu oraz wiejscy Kotłowie i Przedborowie wyjaśniali istotę powołania kapłańskiego i jego rolę w wyborze kapłaństwa hierarchicznego przez mężczyznę i trwałości w nim księdza? Jak badani dorośli katolicy miejscy i wiejscy postrzegali strukturę kapłaństwa hierarchicznego? Jak badani katolicy dorośli wyjaśniali trwałość kapłaństwa sprawowanego przez księdza – czy ksiądz jest kapłanem w każdej sytuacji i okoliczności (zawsze i wszędzie), czy też jest nim wyłącznie w określonych okolicznościach życia kapłańskiego? Podstawę analizy postaw dorosłych katolików polskich wobec powołania kapłańskiego i kapłaństwa hierarchicznego stanowią wyniki badań socjologicznych zrealizowanych w tamtym okresie.
Biological turn a socjologia religii
Authors: Kaczmarek Kamil M.
Published: January 2023

Artykuł przedstawia na przykładach potencjalne korzyści, jakie może odnieść socjologia religii z uwzględnienia perspektywy socjobiologicznej. Pytanie biologów o ewolucyjny sens religii dla ludzkich społeczeństw pozwala wrócić do pytania o społeczne funkcje religii, co z kolei rzuca nowe światło na zagadnienie sekularyzacji. Teoria sygnalizacji, stosowana przez socjobiologów do wyjaśnienia religijnych rytuałów, ujęta w kontekście relacji między organizacją religijną a korzystającymi z jej usług wiernymi, pozwala uwzględnić dodatkowy mechanizm – wyjaśnia zaobserwowany związek między liczebnością kadry religijnej a demografią.
Linguística e ensino de língua no contexto brasileiro (1970-1990)
Authors: Batista Ronaldo
Published: January 2023

This paper presents an analysis of the infl uence of theories and methods of the science of language of the second half of the twentieth century in Portuguese language textbooks for basic education. The analytical perspective is that of the historiography of linguistics, with emphasis on the concept of layers, which locates the texts in a social and historical context while analyzing their internal contents (what the authors present as teaching content). The material of analysis is composed of three textbooks produced for use in Brazil in the 1970s, 1980s, 1990s. In this period, linguistics was the main guideline to defi ne the directions of language teaching materialized in the textbooks, understood in its pedagogical and social function
Aprendizaje individualizado de segundas lenguas para alumnos de prácticas profesionales en un programade movilidad eurpea
Authors: Segura Tornero Alfredo
Published: January 2023

The project ‘Developing E-Learning Capacities for Youth Mobility in Europe’ (DELCYME) aims to develop a multilingual e-learning preparation program for the mobility of young adults (linguistic and intercultural preparation). Moreover, DELCYME aims to develop skills and know-how in organizations working in a non-formal context which oversee preparing the mobility activity.For these 31 months long project (Feb 2018 to Aug 2020) six organizations will be working together. DELCYME is coordinated by OFAJ (Offi ce Franco-Allemand pour la Jeunesse), which has a long experience in organizing mobility as well as developing tools for linguistic and intercultural preparation. Two partners are active in the non-formal language training sector (CAVILAM, CDC), one is an actor who actively hosts and sends abroad participants of mobility activities in Poland (SEMPER AVANTI) and two partners are universities which train language teachers for diff erent contexts (UCLM, CALCIF), who they will contribute a scientifi c perspective to the project. The following paper shows to what extent the PARKUR platform responds to how it is possible to combine under one umbrella and a single methodology the diff erent uses of language - everyday, business and professional specialty - those students of vocational training have to face on their journeys
Responsibilities of Advocate and Solicitor in Malaysia: Revisiting the meaning of misconduct
Authors: Hussain Faridah , Abu Bakar Noraziah
Published: January 2023

The responsibilities of advocate and solicitor include duties towards client, court and the legal profession. Failure to comply with the law relating to the legal profession, advocate and solicitor in Malaysia shall be subjected to disciplinary actions due to misconduct. They shall be struck off as legal practitioners. This paper adopts qualitative research. This paper explains the responsibilities of an advocate and solicitor. This paper suggests that the term "misconduct" is extensive and complicated, and there is a dire need to include the interpretation of the term “misconduct” in section 3 of the Legal Profession Act 1976.
سەروا لە شیعرەکانی (محەمەد عومەر عوسمان)دا
Authors: Abdulla Mohameed Ameen , Nasrulla Rukhosh Muhammad
Published: January 2023

ئەم توێژینەوەیە بەناوی )سەروا لە شیعرەکانی محەمەد عومەر عوسمان)دا، لێکۆڵینەوەیە لە شیعرەکانی (محەمەد عومەر) لە ڕووی سەرواوە. تیایدا سێ جۆری گرنگی سەروا لە شیعرەکانی شاعیردا خراونەتەڕوو، کە بریتین لەسەروای ئاسایی و سەروای ئازاد و سەروای واتایی. هەروەها هەوڵمانداوە سیماو سیستەمی دروستبونی سەروا لە شیعرەکانی شاعیردا بخەینەڕوو.
Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation
Authors: Sekandi Juliet Nabbuye , Shi Weili , Zhu Ronghang , Kaggwa Patrick , Mwebaze Ernest , Li Sheng
Published: January 2023

Background

Artificial intelligence (AI) applications based on advanced deep learning methods in image recognition tasks can increase efficiency in the monitoring of medication adherence through automation. AI has sparsely been evaluated for the monitoring of medication adherence in clinical settings. However, AI has the potential to transform the way health care is delivered even in limited-resource settings such as Africa.

Objective

We aimed to pilot the development of a deep learning model for simple binary classification and confirmation of proper medication adherence to enhance efficiency in the use of video monitoring of patients in tuberculosis treatment.

Methods

We used a secondary data set of 861 video images of medication intake that were collected from consenting adult patients with tuberculosis in an institutional review board–approved study evaluating video-observed therapy in Uganda. The video images were processed through a series of steps to prepare them for use in a training model. First, we annotated videos using a specific protocol to eliminate those with poor quality. After the initial annotation step, 497 videos had sufficient quality for training the models. Among them, 405 were positive samples, whereas 92 were negative samples. With some preprocessing techniques, we obtained 160 frames with a size of 224 × 224 in each video. We used a deep learning framework that leveraged 4 convolutional neural networks models to extract visual features from the video frames and automatically perform binary classification of adherence or nonadherence. We evaluated the diagnostic properties of the different models using sensitivity, specificity, F1-score, and precision. The area under the curve (AUC) was used to assess the discriminative performance and the speed per video review as a metric for model efficiency. We conducted a 5-fold internal cross-validation to determine the diagnostic and discriminative performance of the models. We did not conduct external validation due to a lack of publicly available data sets with specific medication intake video frames.

Results

Diagnostic properties and discriminative performance from internal cross-validation were moderate to high in the binary classification tasks with 4 selected automated deep learning models. The sensitivity ranged from 92.8 to 95.8%, specificity from 43.5 to 55.4%, F1-score from 0.91 to 0.92, precision from 88% to 90.1%, and AUC from 0.78 to 0.85. The 3D ResNet model had the highest precision, AUC, and speed.

Conclusions

All 4 deep learning models showed comparable diagnostic properties and discriminative performance. The findings serve as a reasonable proof of concept to support the potential application of AI in the binary classification of video frames to predict medication adherence.
Primary Perspectives in Meme Utilization as a Digital Driver for Medical Community Engagement and Education Mobilization: Pre-Post Study
Authors: Wang Darrel , Balapal Neha , Ankem Amala , Shyamsundar Saishravan , Balaji Adarsh , Kannikal Jasmine , Bruno Marlie , He Shuhan , Chong Paul
Published: January 2023

Background

Memes have gone “viral,” gaining increasing prominence as an effective communications strategy based on their unique ability to engage, educate, and mobilize target audiences in a call to action through a cost-efficient and culturally relevant approach. Within the medical community in particular, visual media has evolved as a means to influence clinical knowledge transfer. To this end, the GetWaivered (GW) project has leveraged memes as part of a behavioral economics toolkit to address one of the most critical public health emergencies of our time—the 20-year opioid epidemic. As part of a multidimensional digital awareness campaign to increase Drug Enforcement Administration (DEA)-X waiver course registration, GW investigated the results of meme usage in terms of impressions, website traffic, and ultimately user acquisition, as determined by web-based training enrollment and attendance outcomes.

Objective

The objective of this study was to determine the efficacy of implementing humor-based promotional content versus the traditional educational model, and how the translation of the increase in engagement would increase the participant count and website traffic for GW’s remote DEA-X waiver training.

Methods

The approach to this study was based on 2 time frames (pre- and postcampaign). During April-July 2021, we developed a campaign via advertisements on Facebook, Twitter, Instagram, and the GW website to expand outreach. These memes targeted medical professionals with the ability to prescribe buprenorphine. The time frame of this campaign measured engagement metrics and compared values to preceding months (January-March 2021) for our GetWaivered website and social media pages, which translated to registrants for our remote DEA-X waiver training.

Results

By the end of July 2021, a total of 9598 individuals had visited the GW website. There was an average of 79.3 visitors per day, with the lowest number of daily visitors being 0 and the highest being 575.

Conclusions

The use of memes may provide a medium for social media engagement (likes, comments, and shares) while influencing viewers to pursue a proposed action, such as e-training registration.
The U-shaped impact of mean arterial pressure on 28-day mortality of patients with sepsis: A retrospective cohort study from the MIMIC-IV database (Preprint)
Authors: Shen feng , CHEN Qimin , Li Wei , Wang Ying , CHEN Xianjun , HE Dehua , LIU Ming , YUAN Jia , XIAO Chuan , LI Qing , CHEN Lu
Published: January 2023

BACKGROUND

Sepsis is a major cause of high mortality and morbidity in intensive care unit. The effect of mean arterial pressure (MAP) on 28-day mortality in patients with sepsis is controversial.

OBJECTIVE

The purpose of this study was to explore the signature of the impact of MAP on 28-day mortality in patients with sepsis using data from a large, multicenter database.

METHODS

In a retrospective cohort of 35,010 patients with sepsis from the Medical Information Mart for Intensive Care (MIMIC)-IV database, the independent effects of MAP on 28-day mortality were investigated using binary logistic regression and two-piecewise linear model, in which MAP was used as exposure and 28-day death as outcome variables.

RESULTS

A total of 34,981 patients with sepsis were included in the final analysis, of whom 5,691 (16.27%) died during the 28-day hospital stay. The Generalized additive model (GAM) and smoothed curve fitting found a U-shaped relationship between MAP and 28-day mortality in these patients. The recursive algorithm to calculate the lower and upper inflection points was 70 and 82 mmHg, respectively. When MAP was lower than 70 mmHg, it was negatively associated with 28-day mortality (OR: 0.93; 95% CI: to 0.92-0.94, P < 0.0001); however, once the MAP exceeded 82 mmHg, the negative association was replaced by a positive relationship between MAP and 28-day mortality of patients (OR:1.01; 95%CI:1.01 to 1.02, P = 0.0021).

CONCLUSIONS

MAP values lower than 70mmHg and higher than 82mmHg have adverse associations with 28-day mortality in patients with sepsis, implying that maintaining the MAP within the two might be beneficial to the prognosis of patients with sepsis.

CLINICALTRIAL

None,the data is publicly available
A Bibliometric Analysis of Tumor Dormancy in the 21st Century (Preprint)
Authors: Zhang Yuzhe , Yan Lirong , Li Fang , Lv Jinqi , Liu Jiaqing , Liu Xuqin , Bao Li , Zhang Ye
Published: January 2023

BACKGROUND

Tumor dormancy is an emerging field. In recent years, the field has attracted a lot of interest.

OBJECTIVE

This scientometric study's objectives are to review the findings in the area of tumor dormancy research and to pinpoint potential future research hotspots.

METHODS

Web of Science was used to retrieve English literature on tumor dormancy published in this century. After removing irrelevant material, a complete record of each publication was saved, including the title, year of publication, author's name, nationality, affiliation, journal name, keywords, and abstract. The author, country, institution, journal, year of publication, and highly cited publications were all examined using VOSviewer.

RESULTS

We observed that research on tumor dormancy has increased over the past 22 years, particularly from 2015 to the present, by looking at 3167 papers that were linked to the topic. As such, the United States is a world leader in this field of study. Aguirre-Ghiso, Julio A. is the author with the most publications and citations, while Harvard University is the organization with the most publications overall. The mechanisms behind tumor dormancy, methods for treating tumor dormancy, and the relationship between tumor dormancy and bone marrow have all been the subject of research.

CONCLUSIONS

We think that the microenvironment of tumor dormancy and immunotherapy of tumor dormancy may be the most important study fields, but research on the mechanism and treatment of tumor dormancy has continued to gain attention.
Praktik Peliyanan dan Pendisiplinan Tubuh Lewat Bahasa Kekerasan di Percakapan Twitter
Authors: Zul’azmi Helmi Naufal
Published: January 2023

This article aimed to identify how violent languages are operated for othering and disciplining the body as an exercise of power over the LGBTIQ groups in Indonesia. The analyzed violent language was taken from a conversation on Twitter that responds to Deddy Corbuzier’s podcast video with the title “TUTORIAL JADI G4Y DI INDO!!= PINDAH KE JERMAN (tonton sblm ngamuk) RAGIL AND FRED”. The issues of violence in language have been arising when the words used by Twitter accounts @cholilnafis, @anasabuabdillah, @mas_po_sanusi, @ridwan2474, @djoesa, @defrizonz, and @samsularifin000 are seen in a particular way in the context of their response to Deddy’s podcast video. This article shows that there is a process of othering and disciplining the body through the choices of words that contain elements of violence. Violent languages are operated to alienate others, as in the concept of “blaming others”. From Lozano and Laurent’s perspective, “blaming others” is accusing minorities under social inappropriateness instead of seeing their own fault. Meanwhile, the process of disciplining the body moves through violent languages that are associated with interpretation of Islamic discourse.
Otra de las enfermedades ocultas en las sombras… de la ignorancia
Authors: Fortoul Teresa I.
Published: January 2023

Las “etiquetas” han tenido recientemente un auge a la par de la aparición de las redes sociales y las plataformas de perfiles personales. Y si bien hay buenas razones para "etiquetar" a las personas, también es cierto que las etiquetas son producto de cómo se las percibe y son subjetivas, por lo que no debemos permitir que las etiquetas o los estigmas limiten nuestro conocimiento, ignorando información que puede enriquecer nuestro juicio, especialmente cuando hablamos de un padecimiento como la epilepsia.
Lung Cancer Detection Using Neural Net
Authors: Mate Prof. G. S , Shirsat Karan , Panditha Aakash , Koul Kaumodaki , Rayou Sejal
Published: January 2023

Abstract: Leukemia is a sort of blood threatening development which happens due touncommon development in WBCs (white platelets) in bone marrow of human body. Leukemia can be appointed serious leukemia and progressing leukemia, affected severely and causes malignant growth. In the vast majority of the cases early in which serious leukemia turns out to be astoundingly fast however steady leukemia creates slowly .Among all kinds of kinds of developments, cell breakdown in the lungs is the most overwhelming contamination having the most critical passing rate. Dealt with tomography investigates are utilized for ID of lung hurt as it gives unmistakable image of harmful development in the body and tracks its development. Picture dealing with systems are utilized generally in clinical fields for beginning stage affirmation of cell breakdown in the lungs. The calculation for cell breakdown in the lungs disclosure is proposed utilizing strategies, for example, focus disconnecting for picture pre-dealing with followed by division of lung area of interest utilizing numerical morphological endeavors. Mathematical parts are dealt with from the eliminated district of interest and used to bundle CT channel pictures into typical and abnormal by utilizing support vector machine. Further both the sorts have two sub arrangements lymphocytic and myeloid. In this paper, we will explore different picture dealing with and Man-made intelligence procedures used for request of leukemia area and endeavor to focus in on advantages and limitations of different similar investigates to summarize an result which will be valuable for various experts.
Content Based Movie Recommendation System
Authors: Meghana K. , Sudeeksha E. , Somanth A. , Srinivasulu Dr. Y.
Published: January 2023

Abstract: Recommender System is a tool which helps users find the required content and overcome information overload. It predicts interests of users by using Machine Learning algorithms and makes recommendation according to the interest of users. The primary content-based recommender system is the continuation and development of collaborative filtering, which does not need the user’s appraisal for items. Instead, the similarity is calculated based on the data of items that are selected by users, and then make the recommendation appropriately. With the augmentation of machine learning, the current content-based recommender system can build profile for users and products respectively. Building or renewing the profile according to the perusal of items that are bought or seen by users. The system can differentiate the user and the profile of items and then recommend the most resembling products. So, this recommender method that compel user and product directly can’t be brought into collaborative filtering model. The groundwork of content-based algorithm is acquisition and quantitative analysis of the content. The research of acquisition and filtering of text information are fully fledged, many current modified content-based recommender systems make recommendations according to the analysis of text data. This paper introduces content-based recommendation system for the movie websites. There are a lot of factors extracted from the movie, they are diverse and unique, which is also different from other recommender systems. We use these aspects to construct movie model and calculate similarity. We introduce a new outlook for setting weight of features, which improvises the representation of movie recommendations. Finally, we evaluate the approach to illustrate the improvement
Heart Disease Prediction Using Machine Learning
Authors: Nikleshwar E. , Sindhuja D. , Charan T. Sai , Basha r. Mohammed Mahabbob
Published: January 2023

bstract: Cardiovascular disease is a major health burden worldwide in the 21st century. Human services consumption is overpowering national and corporate spending plans because of asymptomatic infections including cardiovascular ailments. Consequently, there’s an urgent requirement for early location and treatment of such ailments. The information which is gathered by data analysis of hospitals is utilized by applying different blends of calculations and algorithms for the early-stage prediction of Cardiovascular ailments. Machine Learning is one among the slanting innovations utilized in numerous circles far and wide including the medicinal services application for predicting illnesses. The proposed project is predicated on a typical machine learning algorithm k-nearest algorithm.
Smart Dustbin Using Ardunio
Authors: Farhan Md , Charan B , Baba Md Masoom , Srinivasulu Dr. Y.
Published: January 2023

Abstract: In this paper, a system is introduced to manage waste in big cities effectively without having tomonitor the parts 24x7 manually. Here the problemof unorganized and non- systematic wastecollection is solved by designing an embedded IoT system which will monitor each dumpster individually for the amount of waste deposited. Here an automated system is provided for segregating wet and dry waste. A mechanical setup can be used for separating wet and dry waste into separate containers here sensors can be used for separating wet and dry. For detecting the presence of any waste wet or dry can be detected using anIR sensor in the next step for detecting wet waste a moister sensor can be used. In this process, if only IR is detected motor will rotate in the direction of the dry waste container if both the sensor detectsthe waste then it will go to the wet container. Both these containers are embedded with ultrasonic sensors at the top, the ultrasonic sensor is used for measuring distance. This makes it possible to measure the amount of waste in the containers if one of the containers is full then alert message will be sent to the corresponding personal.
Sentiments Analysis of Amazon Reviews Dataset By using Machine Learning
Authors: Gupta Varsha
Published: January 2023

Abstract: Any opinion of a person that can convey emotions, attitudes, or opinions is known as a sentiment. The data analyzes that are collected from media reports, consumer ratings, social network posts, or microblogging sites are classified as opinion mining research. Analysis of sentiment should be viewed as a way of evaluating people for particular incidents, labels, goods, or businesses. The amount of views exchanged by people in micro-logging sites often increases, which makes nostalgic interpretations more and more common today. All sentiments may be categorized as optimistic, negative, or neutral under three groups. The characteristics are derived from the document term matrix using a bi-gram modeling technique. The sentiments are categorized among positive and negative sentiments. In this analysis, the Python language is used to apply the classification algo for the data obtained. The detailed accomplishment of LinSVC demonstrates greater precision than other algos.
Machine Learning Use Case in Indian Agriculture: Predictive Analysis of Bihar Agriculture Data to Forecast Crop Yield
Authors: Mistry Vishakha , Mishra Abhishek Kumar , Ahmed Nadiyah
Published: January 2023

Abstract: As early as the Indus Valley Civilization Era, agriculture in India is recorded. The agriculture industry provides employment in developing countries such as India and is considered the backbone of the economy. The benefit of machine learning in farming is that it provides farmers with proper recommendations and judgments about crops. By applying machine learning to agriculture, farmers can increase efficiency, quality production, precision, and while consuming minimum human effort. This research work focused on applying various Machine Learning techniques for predicting the yield of the crop for the various districts of Bihar agricultural dataset. Here we used Random Forest, Decision Tree, SVR, XGBregressor, and Deep Neural Network for the prediction of crop yield, and their comparisons are made on the basis of MAE. This work will help farmers in predicting the yield of various crops based on past data. Therefore, farmers can select crops that suffer the fewest losses by using this tool.
Machine Learning Methods to Weather Forecasting to Predict Apparent Temperature: A Review
Authors: Nayak Saurabh , Dubey Priyanka
Published: January 2023

bstract: Predicting the atmosphere's state for a future date and specific place is the problem of weather forecasting. Traditionally, the atmosphere has been treated as a fluid in physical simulations to accomplish this. The equations for fluid dynamics and thermodynamics are numerically solved to determine the current state of the atmosphere and its future state. However, the system of ordinary differential equations that governs this physical model is unstable under perturbations, uncertainties in the initial measurements of the atmospheric conditions, and a lack of understanding of complex atmospheric processes govern the range of accurate weather forecasting to a 10 day period, beyond which weather forecasts are significantly unreliable. Contrarily, machine learning doesn't need a thorough understanding of the physical processes that govern the atmosphere and is more resilient to perturbations. As a result, machine learning could be a good substitute for physical models in weather forecasting
Performance Investigation of Life Cycle Cost and CO2 Emissions of the Solar PV System
Authors: Shakya Premdas , Koli C. S. , Pandit Prof. R. K.
Published: January 2023

Abstract: With depletion of fossil fuel resources, the world is moving towards the use of non-conventional energy resources; among which the solar energy is pollution free and inexhaustible option. In this study, energy based analysis of photovoltaic (PV) system is analyzed for the climate of Madhav Institute of Technology and science, Gwalior, India and carbon credit is earned and calculated for the same. This analysis of PV system is done based on monthly performance of the system and life of 30 years. Embodied energy and Energy Payback (EPB) is also analyzed for calculation of reduction in CO2 emission while generating of electrical energy.
Graphical User Interface Based Wireless Controlled Environment Monitoring Robot
Authors: Shafi Faizan , Hannan Mohammad , Anusudha Dr. K
Published: January 2023

bstract: This paper is based upon building a wireless robot, which is controlled by the GUI (Graphical User Interface) on the PC. The robot senses the atmospheric temperature, gases, and humidity, displays the values on PC screen for regular check. User can control the robot wirelessly by the Buttons created on GUI that we have made using MATLAB. With the change in growing technology, we humans need to get things done more conveniently. Things look easier when it has been controlled by some Graphical devices. We use Arduino and MATLAB to accomplish our work, which is based on the wireless environment in which we employed communication technique USART for transmitting data serially via NRF transmitter and receiver. The robot can detect the various gases, temperature, and humidity with the help of sensors that relate to the bot and the data is monitoring onto our serial monitor in Arduino. The robot also has barrier detection mechanism that we have employed using the Ultrasonic sensor
Smart Entry System
Authors: Amulya Ch. , Yashwanth K , Manishanker P. , Krishna Dr. S. , Badashah Dr. Syed Jahangir
Published: January 2023

bstract: Security and safety are growing in popularity as time goes on, and they are being enhanced and utilised to make our lives easier. Technology has now permeated every aspect of human life, so protecting the security of one's home, place of business, or organisation cannot be overlooked. Developing a smart receptionist with a smart lock system was mostly done for security reasons. When the front entrance of the house, business, or organisation is closed, this clever security system is employed to detect a visitor. The Raspberry Pi and Telegram bot are used in this setup to issue commands that operate the door lock. In this system, anytime a person approaches the door, the PIR sensor detects their presence, activates the camera, records a 5- second video of the individual, and sends a notification to the user via Telegram. The system will open the door if the owner permits entry, and the door will remain locked if the owner forbids entry using commands sent through the Telegram bot.
Application & Effect of the Bylaws in Building Construction: A Case study Report
Authors: Lamichhane Bibek
Published: January 2023

bstract: For the building and designing profession, the incalculable value of human life demands nothing less than the highest moral considerations from those who might risk it otherwise. The engineering profession since has direct effect on the lives of people, these professionals in general tend to believe that their obligations to their clients far outweigh their responsibility to others, such as public. Because of their knowledge and importance in society, engineers should have standard of conduct to answer ethical questions. The construction process involves conceptualizing, designing, managing, organizing and coordinating project requirement including time, money resources, technology and methods; these must be integrated in the most efficient manner possible to complete construction projects on schedule, within the budget, and according to the standards of quality and performance specified by the project owner or designer. There are lots of problem in building construction in Sub Metropolitan city. Most of people in this locality are illiterate about the regulation of the road width as per its importance and disobeying the rules of the Sub Metropolitan. the study had only covered with assessing the current practices of bylaws in building construction followed by engineers while preparing drawing and design as well as supervision of building construction in Nepalgunj Sub Metropolitan, Banke, Nepal
Nonlinear Analysis of External Post-Tensioning anchorage of Concrete Segment
Authors: Patil Mayur V. , Parekar Dr. S. R.
Published: January 2023

Abstract: Precast concrete segmental bridges (PCSBs) have been the most common design technology used in the last decades. In these studies Non-linear structural performances of externally prestressed, precast concrete segmental bridges (PCSB). PCSBs with externally prestressed tendons have become very popular in construction because of economical and safety reasons, fast and practical construction, and outstanding serviceability. External tendons technique is widely used because it allows to inspect the cables and to replace them or to reinforce the tendons in case of damage while such kinds of actions are difficult to be taken in case of internal prestressing. It is widely recognized that segmental bridges have better durability, lower life-cycle costs and higher quality for maintenance than other types of bridges. However, there is lack of reliable computational model for analyzing behavior of post-tensioned PCSBs. Experimental analysis of bridge segment required more cost, time and effort for the analysis and also take cake of quality of material, cast process, curing, and testing. This research presents the results of stress and strain state of the local bearing area caused by a Prestressed cable anchor in reinforced concrete bridge segment. Nonlinear analysis of anchorage and rebar, concrete segment can be carried out by analytical solution calculated with the reference of ACI 318/19. ANSYS software is used for model and analyze the structure. The analysis process was carried out in 3 types : linear elastic analysis, nonlinear elastic analysis, and nonlinear analysis considering the destruction of concrete, and the value is compared with ANSYS software ( static structure).
Waste Classification using Convolutional Neural Network
Authors: Jagtap Devidas A. , Borse Prof. Manjusha S.
Published: January 2023

Abstract: Garbage is one of the most dangours product present onto earth and infact in this thenon-degradable part is veritably dangerous from mortal as well as beast point ofview.So we aimed to make a design which can sagrigate the type of scrap as per its parcels like paper, cupboard, glass, plastic etc. The thing of this design is to contribute to the development and enhancement of machine literacy ways concentrated on working environmental issues like the waste accumulation, global warming, pollution, etc. likewise, it'll be subject to trial by professionals and subject matter experts since its open- source. That trial is crucial when perfecting the performance of models in the field of machine literacy, along with the data gathering and processing ways used in the process.
Design and Computational Analysis of the Conventional Vaned Diffuser for a Turbocharger Compressor
Authors: Gopi Baskaran Sivagami , S Parimalamurugaveni
Published: January 2023

Abstract: A review of a study paper on centrifugal compressors revealed that the flow dynamics within them are extremely complex. The intensity of secondary flows and tip leakage flows will significantly alter depending on the vane loading, creating the low energy fluid zone on the impeller blade's suction surface. The flow finally becomes excessively viscous and non-uniform at the centrifugal impeller's exit due to this type of flow pattern. The goal of the current work is to comprehend the flow at the centrifugal impeller's exit and construct the conventional vaned diffuser (CVD) in accordance with that understanding in order to transfer the high kinetic energy already existing into a static pressure rise. A highly loaded centrifugal compressor with a newly developed conventional vaned diffuser (CVD) was subjected to numerical analysis using Ansys for an impeller tip mach number of 0.9. For design and off-design positions, respectively, key diffuser performance characteristics like pressure ratio and static pressure recovery are studied numerically, as qualitatively was Mach number. The pressure recovery of conventional vaned diffuser was showing 39.1 % more than the compressor with vaneless diffuser
Performance Assessment of a Gas Turbine Power Plant
Authors: C. B. Edward , J. I. Sodiki , B Nkoi
Published: January 2023

Abstract: This study focuses on the energy-exergy performance evaluation of a 5.67MW rated gas turbine power plant located at Total Exploration and Production Port Harcourt Office complex in Nigeria. Design data were collected from the installation document and temperature readings from the control room. A MATLAB program was written that utilized the data collected and various thermodynamic equations to output various performance parameters. The simulation of ambient air temperature on the performance of the gas turbine power plant was investigated. The results show that that there was an increase of 46.1176kW in the work done by the compressor for every 1o rise in the ambient air temperature, an increase of 33.3888kW in the net power generated per 1o rise in the ambient air temperature, an increase of 28.71089kJ/kW in the heat rate per every 1o rise in ambient air temperature and a decrease of 0.06287% in the thermal efficiency of the plant for every 1o rise in ambient air temperature. The exergy assessment showed that the combustion chamber was the most exergy inefficient component of the gas turbine as it had an exergy efficiency of just 59.168% with an average exergy destruction of 9368.507kW, the turbine section had an exergy efficiency of 72.997% with an average exergy destruction of 3661.844kW and the compressor section of the power plant is the most exergy efficient component as it has an exergy efficiency of 83.409% with an average exergy destruction of 676.107kW. This study showed the shortcomings of the gas turbine power plant and offered recommendations to improve efficiency.
Design and Manufacturing Semi-Automatic Machine for Battery Tray Riveting Operation
Authors: Navale Priti , Padavi Sarita , Patil Rohit , Pandit Dhiraj , Khandare Prof. R. S.
Published: January 2023

Abstract: The successful implementation of any manufacturing sector is largely depending upon the quality and its productivity. In traditional machining process for performing the one side riveting, machine’s required which becomes a time consuming also the inaccuracy in productivity due to involvement of human error which affects to productivity cannot be get improved at a faster rate. The main purpose of this project to design and manufacture semi-automatic machine for battery tray riveting. Which leads to improve the quality and productivity by minimising the time period in all Mahindra and Mahindra’s vehicles battery is fitted with the help of battery tray. While placing the battery tray two side rivets are required in current situation while fitted tray only one side riveting operation is performed. We are designing a semi-automatic machine which will perform riveting operation to both sides at once which will improve the productivity.
Examining the pedagogical content knowledge of in-service mathematics teachers on the permutations and combinations in the context of student mistakes
Authors: Matitaputty Christi , Nusantara Toto , Hidayanto Erry , Sukoriyanto
Published: January 2023

Permutations and combinations are generally taught by requiring students to memorize formulas and solve problems using the appropriate formula. Students who learn these topics may succeed in gaining high scores on end-of-chapter exams in textbooks, while lacking the conceptual understanding required to deal with problems in the real world. Therefore, this study aimed to examine in-service mathematics teachers' pedagogical content knowledge (PCK) to determine students’ mistakes in solving permutations and combinations problem and their teaching strategies to eliminate these errors. Data were collected by distributing vignettes, CoRe, and PaP-eRs to thirteen mathematics teachers from ten provinces in Indonesia after they finished an online professional teacher education program to determine their PCK in teaching permutations and combinations. The data collected were analyzed qualitatively using a content analysis approach to obtain categories inductively. The result showed that PCK of in-service mathematics in teaching permutations and combinations was observed by identifying student mistakes conceptually and procedurally, even though some could not determine their mistakes in permutations. On the other hand, the knowledge of instructional strategies can engage all students in active learning, but most of them only give general answers. Furthermore, an in-depth understanding of permutations and combinations topic is needed to support the development of teachers’ pedagogic competencies sustainably. The contribution of this research will be of interest to curriculum development and mathematics educators.
A conventional and digital mathematical board game design and development for use by students in learning arithmetic
Authors: Fathurrohman Maman , Nindiasari Hepsi , Rahayu Ilmiyati
Published: January 2023

This paper reported the design and development of a conventional and digital mathematical board game for use by students in learning arithmetic. At the time of research, there is no significant indication that a mathematical board game is available in scientific and published patent documentation. The availability of mathematical board games for students’ drills and practice in arithmetic, especially in mathematical statement construction, would benefit them, as this competency is an essential life skill. This research was conducted through the design and development research method with the procedure of users’ need analysis, researcher as developer capability analysis, product design, product development, field testing in its natural setting environment, and the prototype. The board game prototype was developed in both conventional printed and digital versions. The field testing for the conventional printed version was conducted at secondary school classes with 34 and 36 students, respectively, while for the digital by selected participants. The field testing shows that the developed mathematical board game can work as expected in its natural setting environment.
Primer registro de un depredador natural del bagre marino, Genidens barbus, (Ariidae, Siluriformes) en el estuario del río Negro, Río Negro, Patagonia Argentina
Authors: Tombari Andrea Diana , Gonzalez Dubox María Cecilia , López Greco Laura
Published: January 2023

La dieta y los hábitos alimentarios de una especie determinan su ubicación dentro de una red trófica y definen su rol ecológico. De esta manera, también representan un mecanismo clave en la estructuración y mantenimiento de la estabilidad de las comunidades. En el caso particular de la familia Ariidae, debido a sus estructuras óseas externas son escasos los registros de depredación sobre el grupo, excepto algunos casos en mamíferos marinos y tiburones. Genidens barbus es una especie anádroma, con un ciclo reproductivo complejo. Pertenece a la familia Ariidae y presenta gran valor comercial en Brasil donde es fuertemente explotada, al punto que se la ha incluido en la lista roja de especies amenazadas. Sin embargo, el conocimiento en cuanto al estado de su stock, su distribución, sus depredadores naturales y bioecología es limitado. Por lo antes mencionado, el objetivo del presente trabajo es informar sobre el primer hallazgo de un depredador natural del bagre marino G. barbus, el lobo marino de un pelo (Otaria flavescens), en el estuario del río Negro, Río Negro, Argentina. Para ello se trabajó con una filmación realizada por un pescador en diciembre de 2019, en el estuario medio del río Negro, Río Negro, Argentina. Se observó in situ, la alimentación del lobo marino de un pelo, en la que la estrategia de captura se realiza desde la región posterior, de manera similar a la que realiza la especie Tursiops truncatus en el golfo de México. Dados estos resultados, queda expuesta la necesidad de continuar con el estudio de las tramas tróficas del río Negro, debido a la escasa información sobre la especie G. barbus, especialmente en su distribución patagónica
AGAMBEN, Giorgio. O Reino e a Glória: uma genealogia teológica da economia e do governo. São Paulo: Boitempo, 2011, 326 pp.
Authors: Sordi Caetano
Published: January 2023

Em O Reino e a Glória, Giorgio Agamben procura desvelar o lastro teológico subjacente às categorias secularizadas de “governo” e “economia”, jogando nova luz sobre as relações entre sacralidade e poder político no ocidente moderno. Trata-se de uma vasta investigação genealógica dedicada a ampliar a agenda de pesquisa (lançada por Foucault) que visa compreender como o poder moderno assumiu o caráter de um governo de coisas e pessoas, isto é, de uma “governamentalidade” ou uma “biopolítica”. Ademais, o conceito de “assinatura” proposto por Agamben reluz neste ensaio como uma valiosa ferramenta heurística para os pesquisadores da secularização, seja na filosofia, nas ciências sociais da religião ou demais áreas afins.
Kardecismo e umbanda: duas religiões brasileiras
Authors: Arribas Da Graça Célia
Published: January 2023

Renha de: PRANDI, Reginaldo. Os mortos e os vivos: uma introdução ao espiritismo. São Paulo: Três Estrelas, 2012, 116pp.
“TEM QUE SABER INICIAR, TEM QUE SABER TERMINAR”: O DESFAZER NO BATUQUE GAÚCHO.
Authors: Machado Cauê Fraga
Published: January 2023

A partir do caso etnográfico da nação Oyó/RS, discuto a noção de desfazer no batuque gaúcho. Com a descrição do ritual do eru (desligamento), proponho que se tome o ritual em si como importante para pensar as práticas que compõem o processo de fazer o santo e a pessoa, e as noções de vida e de morte nas diferentes religiões de matriz africana. Eru não é um passo ritual para o culto aos eguns (mortos), mas ele mesmo trata da duração de uma pessoa, que é feita aos poucos, desfeita no ritual e refeita noutro mundo, onde passará a ter uma qualidade diferente de relação com os orixás.
A primeira gravação etnográfica do batuque do Rio Grande do Sul (1946) e as (des)continuidades aparentes na tradição do tambor hoje
Authors: Braga Reginaldo Gil
Published: January 2023

Este artigo pretende trazer aspectos até então desconhecidos sobre o passado musical da religião afro-gaúcha denominada Batuque ou Nação. Ocorre que em 1946, uma equipe do Centro de Pesquisas Folclóricas da então Escola Nacional de Música, Universidade do Brasil, chefiada pelo pesquisador Luiz Heitor Corrêa de Azevedo, percorreu o estado do Rio Grande do Sul recolhendo informações e fixando em discos, performances de músicos de várias manifestações folclóricas e populares, entre elas do Batuque porto-alegrense. Antigo tamboreiros, os músicos rituais do Batuque, Pedro Barbosa, Antônio Costa, Odílio da Costa e Adão Conceição foram gravados por Luiz Heitor e dois sacerdotes importantes foram por ele entrevistados, Hugo Antônio da Silva e Rafaela Fagundes de Oliveira. Através da reconstituição dessa memória, e da análise formal desse material, pretendo discutir à luz da etnomusicologia aspectos recorrentes na área, tais como continuidade e mudança musical, dentro do culto e em relação a outros nacionais de tradição jêje-nagô que praticamente à mesma época receberam visitas de pesquisadores da academia que também realizaram gravações sonoras (o Candomblé da Bahia, com M. Herskovits em 1942 e a documentação realizada pela Missão Folclórica chefiada por Mário de Andrade em 1938 aos estados do Maranhão, Pernambuco e Pará sobre o Tambor de Mina, Xangô e Babassuê, respectivamente).