bluuebunny/crossref_metadata_2025 huggingface dataset:
A History of Tatarstan
Authors: Boterbloem Kees
Published: December 2024

A History of Tatarstan: The Russian Yoke and the Vanishing Tatars surveys the history of the Tatar people living along the Volga river. It argues that the Volga Tatars were Russia’s first colonized people and after their subjugation in 1552, the Tatars have been continually mistreated by their Russian rulers, even when the nature of the Russian regime changed over time. For a long period the Tatars managed to evade overly deep Russian intrusion into their lives, after the middle of the 1850s Russian and Soviet authorities obliterated their traditional way of life. Despite efforts at restoring a measure of Tatar independence in the 1990s, russification has led to a marked fall in those identifying as Tatar in the Russian Federation pointing at the possibility of a disappearance altogether of the Volga Tatars.
Fields of Fire
Authors: Esparza Louis Edgar
Published: December 2024

Fields of Fire: Emancipation and Resistance in Colombia identifies the concept of the emancipatory network as a coordination of loose, discrete, and differentiated actors to explain how activists successfully practice high-risk activism. Illustrating that previous studies on high-risk activism come to contradictory conclusions, Fields of Fire argues that networks rather than individual characteristics are associated with mobilization. This book features unique ethnographic material of a Colombian sugarcane worker strike, interviews with workers and human rights activists in Valle del Cauca and Bogotá reveal different forms of knowledge that activists bring to a social movement. Esparza argues that the combination of these different forms of knowledge bolsters the movement’s resiliency in the face of repression.
Badiou, Infinity, and Subjectivity
Authors: Naderi Mohammad Reza
Published: December 2024

In Badiou, Infinity, and Subjectivity: Reading Hegel and Lacan after Badiou, Mohammad Reza Naderi elaborates on the trajectory of Alain Badiou’s philosophy by following a leading thread: the dominance of axiomatic thought and the category of mathematical infinity. According to this primary proposition, axiomatic thought is the only form of thinking adequate to the infinity of being. Using both primary and secondary literature, the author demonstrates two other major propositions: 1) The coherence of Badiou’s intellectual development from the early interventions to the publication of Being and Event, and 2) The formation of a theory Naderi calls “discipline.” By working through three dimensions of disciplinary thinking—interiority, novelty, and beginning—Naderi provides a new framework for understanding the inner structure of what Badiou calls “procedures of truths” and develops a new interpretation that ultimately reveals the inner logic of Badiou’s method.
Animal Texts
Authors: Perry-Rummel Lauren E.
Published: December 2024

Animal Texts examines critical works of American Environmental Literature for how they portray, discuss, and represent animals. By interweaving animal studies, literary animal studies, animal science, and close readings, the author establishes critical animal concepts for environmental literature that expand the understanding and knowledge of animal lives to promote conservation and meaningful reflection on current human-animal relationships. Lauren E. Perry-Rummel demonstrates the grave importance and promise these writers saw in the animals alongside them by examining the textual proof of how America's great environmental writers viewed animals. The author’s tracing of animal texts begins with late nineteenth century American texts from Sarah Orne Jewett, Jack London, into the mid-early twentieth century, ecologically focused works of Aldo Leopold and Rachel Carson, into the later twentieth century with the musings of Edward Abbey and the devastating memoir of Terry Tempest Williams, and ending with the contemporary species-centric works of Nate Blakeslee and Dan Flores.
The Afrikan Revolution in Ayiti
Authors: Ajani Kimoni Yaw
Published: December 2024

Throughout the history of Western academia, there have been scholars who have interpreted and examined various aspects of human history and made it a point to universalize their own interpretations of different people’s histories and cultures. This type of scholarship tends to ignore the contributions and historical realities of other people. This case is especially true of the scholars who have interpreted the historiography around the Afrikan revolution in Ayiti, otherwise known as The Haitian Revolution. Kimoni Yaw Ajani’s, The Afrikan Revolution in Ayiti: Libète ou Lanmò, Freedom or Death is an Afrocentric re-examination and interpretation around the historiography of the Revolution in Ayiti and provides an in-depth study that highlights several significant Afrikan epistemological and cosmological aspects that led to freedom. These aspects include but are not limited to: the persistence of Afrikan complementary forces in Ayiti, Vodou/Vodun and Afrikan cosmology, Afrikan combat traditions such as Tire Machèt, and the numerous Afrikan languages, personalities, and roles that emerged from the growing numbers of Afrikans brought to Ayiti as a result of the European slave trade. Ajani calls for building communities on the best of Afrikan epistemological foundations and reclaiming Afrikan history.
Art, Power, and Politics
Authors: Genovese Michael A.
Published: December 2024

Stories matter. They help us digest information, make sense of our world, learn valuable lessons, understand ourselves, store information, find meaning, and remember. Our stories can define us, tell us who we are, and who we might yet become. Researchers tell us that stories are one of the most elemental ways we process information. We understand the world through stories.

Stories are accessible to our brains; we can more easily process narratives. They make sense to us. This book takes political storytelling seriously. Research on the brain indicates that humans learn from and profit from narratives. They help us make sense of a complex world, teach us important lessons, socialize us into society, are agents of education, information, and entertainment. How best to receive and process new information?

As stories are important to us, so too are political narrative as a key to our identities. So many of our political views and subsequent behavior have roots in the myths and stories of America. This book examines stories of our lives as presented in paintings, music, and films. When the legend becomes fact, print the legend.
The Politics and Psychoanalysis of Comedy
Authors: Samuels Robert
Published: December 2024

This book looks at the political aspects of comedy and how humor is shaped by unconscious social and psychological factors within a particular cultural and historical context. Updating Freud’s work on jokes, Robert Samuels argues that any universal model of comedy must take into account the role played by distinct genres, which are themselves determined by particular political psychopathologies. In looking at contemporary comedy, we encounter a structure that is often seen throughout the world: in response to what is experienced as a Leftist super-ego censoring thoughts and speech and a Libertarian Right which promotes free speech as the ultimate value. Within this dynamic, comedians seeking to make their audience laugh by poking fun at sensitive and taboo subjects, intentionally and unintentionally, these humorists present an alternative to Left-wing political correctness and identity politics. Contemporary comedians then cannot help but to cater to Right-wing politics since the Right is centered on loudly rejecting the cultural dictations of the Left.
Güterschutz durch Bereicherungsrecht
Authors: Brandstätter Natascha
Published: December 2024

Bereicherungsansprüche bei rechtsgrundloser Inanspruchnahme bzw „Verwendung“ fremder Güter sind bis heute Gegenstand anhaltender Diskussion. Das liegt sowohl an den komplexen und mitunter erst zu gewinnenden Grundlagen wie auch an der Entdeckung „neuer“ Güter. Die Autorin untersucht den Grund und die Reichweite des bereicherungsrechtlichen Schutzes individueller Rechts- und Vermögenspositionen („Güter“ in einem weit verstandenen Sinne). Der Schutz der Güter im Einzelnen wird umfassend erörtert und die Autorin widmet diesen jeweils ein eigenes Kapitel – Besitz, Pfandrecht, Dienstbarkeiten, Baurecht, Eigentum, Forderungen, Persönlichkeitsrechte sowie Immaterialgüterrechte. Folgende Bereiche werden ua behandelt: Güterschutz gegen Eingriffe im Allgemeinen Inhalt der Zuweisungstheorie und Alternativen Leistungskondiktionen Die eingrifflosen Fälle des Verwendungsanspruchs nach § 1041 ABGB Sonstige Fälle des Verwendungsanspruchs nach den §§ 1042 und 1043 ABGB
Urban Design and Planning: Integrating Nature and the Built Environment
Authors: Bunmi Ojo Deborah
Published: December 2024

This chapter will investigate the critical function of urban design and planning within the larger context of landscape architecture and design. The chapter will look at the concepts, procedures, and practices that drive successful urban design and planning initiatives from a variety of perspectives. The chapter will also explore the changing difficulties and opportunities confronting contemporary urban environments, such as growing urbanization, climate change, social inequality, and technological breakthroughs. It emphasizes the importance of using innovative and adaptive urban planning and design strategies that promote equity, resilience, and environmental stewardship. Using a variety of case studies and best practices, the chapter will highlight remarkable urban design and planning initiatives from around the world. These examples will show how purposeful design interventions can greatly improve the standard of living for city residents while also fostering sustainable urban expansion.
Perspective Chapter: Criminal Sciences in Iran – Developments and Prospect
Authors: Rayejian Asli Mehrdad
Published: December 2024

Criminal sciences are a body of disciplines that jointly study crime and its related concepts and phenomena, for example, offender, victim, and punishment. These disciplines include, inter alia, criminal law, crime policy, criminal justice, penology, criminology, and victimology. In Iran, criminal sciences have been recognized in the form of criminal law and criminology as MA and PhD courses of graduate studies since 1960s, and thus, victimology is not defined as a single subject or unit of teaching. However, criminal sciences have been developed through the endeavors of three generations of Iranian scholars who have played an important role in codifying and interpreting the national criminal legislations and domestic literature of criminal sciences. Based on a descriptive-analytical method, the present chapter explores the role of these generations in the context of three periods, including codification, interpretation, and contemplation. The author concludes that these domestic criminal sciences have been influenced by comparative studies, particularly those derived from French and Anglo-American traditions. Consequently, the findings show that criminology and victimology are overshadowed by criminal law within the sphere of criminal sciences in Iran, based on the assumption that there is the supremacy of criminal law over criminology in the Iranian high educational system.
Multivariate Linear Model for Data Analysis and Machine Learning and the Theory and Practice of Eigenvalues in Mitigating Multicollinearity
Authors: A. Kwembe Tor
Published: December 2024

The chapter introduces a multivariate high dimensional linear model for large dataset analytics and machine learning and the mathematical derivation of its parameters. We covered regression techniques and analysis for multidimensional datasets, mitigating multicollinearity, and dimension reduction techniques and the decision tree classifier method that is applied to Machine Learning and Artificial Intelligence. We further explained collinearity and multicollinearity in a matrix perspective approach and mitigation methods to improve machine learning and data analytics algorithms and techniques. We demonstrated with proofs that when an eigenvalue of a dataset is zero or very near zero, collinearity or multicollinearity exists among the features of the dataset. We also showed that Principal Component Analysis (PCA) is a method for mitigating multicollinearity among a list of several other methods. The chapter covers the Principal Component Analysis (PCA) method for high dimension data reduction and feature selection in detail, and introduced an example of its applications to a network intrusion detection system data to illustrate the theory and practice of eigenvalues and eigenvectors in modern engineering.
Shredding of Lithium-Ion Batteries: Overview and Industrial Perspective
Authors: Oliveira Marcelo , Abreu Bárbara , Costa Henrique
Published: December 2024

The exponential growth of electrification and digitization is massifying the production and use of lithium-ion batteries, which eventually will reach their end of life. The recycling of these batteries is essential for environmental reasons, but it also shows a strong economic impact. In fact, Li-ion batteries contain critical raw materials in higher concentrations than those found in natural resources. Therefore, lithium-ion battery recycling is an essential and rapidly expanding sector. The recycling process typically involves a shredding step followed by sieving to recover the “black mass”—a powder rich in lithium, cobalt, nickel, and manganese, depending on the battery chemistry. However, shredding an energy storage device containing toxic compounds is challenging, and the most crucial part of the process. Hence, the proposal entails the authoring of a chapter outlining and analyzing various shredding technologies for Li-ion battery recycling, covering the advantages and disadvantages of each from an industrial perspective.
Perspective Chapter: Growing Berries in Substrate
Authors: Ben Hadj Daoud Haifa , Rosario Butera Marco , Pedro Rosa Duarte Jorge
Published: December 2024

Berries such as strawberries, blueberries and raspberries have expanded into non-traditional growing areas worldwide. In recent years, the berry production system has changed to cultivation in substrate and pots and this alternative system has shown the potential to produce high yields of high-quality berries. The quality of the substrate and the parameters of the pot are known to influence plant growth and fruit production. Many authors have evaluated the composition of the growing media and the size of the container with the aim of optimizing the appropriate growing conditions that affect the plant growth and berry yield. The physical characteristics of the substrate play a special role in berry cultivation; then, a good substrate should be of high quality, in order to provide the plant root system with the adequate environment to develop. The management of water irrigation and nutrient contents during berry production in substrates has a great importance on the yield and quality of fruits. Thus, suitable irrigation systems and a fertilizer solution containing all the essential nutrients are essential for yield and high-quality berries. In this perspective, the objective of this chapter is to present the equipment and practices used for the cultivation of berries in substrate.
Investigation of Liver Function Test Findings in COVID-19 Patients Considering the Disease Timeline
Authors: Nakhaie Mohsen , Charostad Javad , Behboudi Emad , Ghelmani Yaser , Jahangiri Samaneh , Baniasadi Nadieh , Khajouei Arman , Zangouey Mohammad Reza , Salajegheh Faranak
Published: December 2024

Background: Several lines of evidence suggest that SARS-CoV-2 infection impacts liver function; however, the evaluation of these changes over time according to the disease timeline remains unclear. Objectives: The objective of this study was to identify potential alterations in liver function parameters during the first to fifth waves of COVID-19 and compare these alterations with the demographic and clinical outcomes of patients across the waves. Methods: This cross-sectional study included 1501 hospitalized patients with a confirmed RT-PCR diagnosis of COVID-19, referred to Shahid Sadoughi Hospital, Yazd, Iran, between November 20, 2019, and November 20, 2021. Liver function parameters, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), total bilirubin, direct bilirubin, and albumin, were assessed using standard clinical laboratory methods. Statistical analyses were conducted to evaluate differences in liver function parameters across the five pandemic waves, with significance set at P < 0.05. Results: The median age of the hospitalized patients (N = 1501) was 61 ± 21.8 years, with the majority being male (816, 54.3%). The Kruskal-Wallis test showed a significant increase in the median levels of ALP, total bilirubin, and direct bilirubin in the first wave; the AST and ALT in the third wave; and serum albumin in the second wave (P < 0.001). The median serum levels of total bilirubin and direct bilirubin were significantly higher in older patients compared to younger patients (P < 0.001), and the median ALT and serum albumin were significantly lower in older patients (P < 0.0001). In males, the median values of AST, ALT, total bilirubin, and direct bilirubin were significantly higher than in females (P < 0.0001). The median values of all parameters, except serum albumin, in deceased patients were significantly higher compared to discharged patients, and serum albumin was significantly lower. Conclusions: In this descriptive study, we observed that older and male patients were more frequently hospitalized than females. Our findings showed variations in liver parameters across different pandemic waves, suggesting distinct behaviors of various SARS-CoV-2 strains.
First Report of Candida auris Isolated from a Patient with Severe Pneumonia in Zhejiang, China
Authors: Chen Keqiang , Zhu Yijun , Shan Xiaoyun , Shi Jingchao , Deng Hongsheng
Published: December 2024

Introduction: Candida auris has emerged as a serious public health threat due to its multidrug resistance, remarkable transmissibility, and high mortality rates, resulting in global outbreaks. Here, we report the first detected case of C. auris in Zhejiang, China. Case Presentation: A 60-year-old male patient with severe pneumonia was previously treated in multiple hospitals in Nanjing before being transferred to the ICU at Jinhua Hospital of Zhejiang University. A yeast isolated from the patient's sputum cultures was identified as C. auris using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The isolate underwent antifungal susceptibility testing, whole genome sequencing (WGS), and phylogenetic analysis. The isolate demonstrated high resistance to fluconazole while remaining susceptible to other antifungal agents and was classified under genetic clade I. Unfortunately, the patient's condition deteriorated, leading the family to decide against further treatment. Considering the patient’s clinical history and multiple hospital transfers, it is suspected that colonization or infection occurred in a previous hospital setting. Conclusions: Candida auris is an invasive fungal pathogen capable of causing severe infections. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry provides an accurate and timely method for detecting C. auris. Patients in intensive care units (ICUs), especially those with prolonged stays and multiple underlying conditions, are at heightened risk for acquiring C. auris infections. Admission screening and preventive control measures are crucial to preventing the spread of C. auris outbreaks.
Pemodelan Tingkat Kualitas Ekonomi Negara-Negara Asia dengan Metode GLM Menggunakan Sebaran Poisson dan Sebaran Binomial
Authors: Triwahyu Mohamad , Sitanggang Rivilyo Mangolat Risky , Alqossam Muhammad 'Izzudin , Purnama Rizki Candra
Published: December 2024

Abstrak. Kualitas ekonomi di negara-negara Asia dipengaruhi oleh berbagai faktor sosial, keamanan, dan lingkungan yang kompleks. Penelitian ini menggunakan Generalized Linear Models (GLM), yaitu regresi Poisson dan Binomial Negatif, untuk menganalisis hubungan antara variabel-variabel seperti Governance, Social Capital, Safety and Security, Living Conditions, Education, dan Natural Environment terhadap tingkat kualitas ekonomi. Hasil analisis menunjukkan bahwa model Poisson menghadapi keterbatasan karena adanya overdispersion, yang tercermin dari nilai AIC yang tidak terdefinisi dan residual deviance yang relatif tinggi. Sebaliknya, model Binomial Negatif lebih efektif dalam menangani data dengan variansi lebih besar dari rata-rata, menghasilkan nilai residual deviance yang lebih rendah dan AIC yang lebih baik. Dalam model Binomial Negatif, variabel Social Capital terbukti signifikan dengan koefisien yang menunjukkan pengaruh positif terhadap kualitas ekonomi. Penelitian ini menegaskan bahwa model Binomial Negatif lebih cocok untuk memodelkan data kualitas ekonomi di kawasan Asia, dengan Social Capital sebagai variabel yang paling berpengaruh, yang akan memberikan wawasan yang berguna bagi pengambilan kebijakan untuk meningkatkan kualitas ekonomi di kawasan ini.
Solar Power Estimation by Using Artificial Neural Networks
Authors: Nur Ahmet , Güre Bayram , Rüstemli Sabir , Bezek Güre Özlem
Published: December 2024

Abstract—Electrical energy is an essential element for
economic growth and social progress. For this reason, energy
sources that will meet the need for electrical energy are
constantly being developed. Among these sources, renewable
energy sources are the least harmful to humanity and the
environment. These resources also play a role in reducing the
impact of global climate change. In renewable energy systems,
there are various factors such as sunlight intensity, temperature,
humidity, wind speed, etc. that affect energy production.
In this study, it is aimed to estimate the solar energy power by
using artificial neural networks. For this purpose, the solar
power generation data set consisting of 21 variables and 4212
measurements in the Kaggle database was used. In the study,
70% of the data was used as training data and 30% as test data.
MSE, RMSE, MAE and R2 values were considered as
performance criteria. Thus, solar angle variables, which are
important factors affecting solar power production were
calculated.
Investigation of basic electrical parametrs of Au/Pure PVP/n-Si MPS structure by using both current-voltage (I-V) and capacitance-voltage (C-V) measurements
Authors: Abdinov A.S. , Afandiyeva I.M. , Bakhtiyarli E.R.
Published: December 2024

Abstract- In this study, we research the electrical
characteristics of Au/Pure PVP/n-Si (Polyviny
lpyrrolidone/n-Si) metal Polymer semiconductor (MPS)
structure using a range of mathematical methods, including
thermionic-emission (TE) theory, Cheung’s functions. The
impact of doped Pure PVP on the diode parameters, such as
the ideality-factor (n), reverse saturation current (Is),
barrier height (BH), and series-resistance (Rs), was exactly
analyzed. And also parameters such as doping
concentration (ND), Fermi energy (EF), depletion layer
width (WD), barrier height (ΦB), and maximum electric field
(Emax) were systematically extracted from C-2
-V data for
Au/Pure PVP/n-Si Schottky diodes
Deep Learning Models for Bitcoin Price Prediction
Authors: Hasanli Rza , Dursun Mahir
Published: December 2024

Abstract — The volatile nature of cryptocurrency markets
has spurred interest in predictive models to aid investment and
trading strategies. This study extends previous works by
incorporating all available technical indicators, leveraging the
TA library, and evaluating multiple deep learning architectures
for Bitcoin price prediction. Using daily OHLC data for Bitcoin
(BTC) sourced from Yahoo Finance, we implement
Transformer-based Multi-Head Attention with GRU and LSTM
layers, along with standalone LSTM and GRU models. These
architectures are compared in terms of predictive accuracy to
identify the most effective approach for capturing market
dynamics. Our results provide a comprehensive analysis of
model performance, highlighting the potential of advanced
neural network architectures and technical indicators for
improving cryptocurrency price prediction.
A Benchmark Study of Classic Power Flow Analysis Techniques
Authors: Onur Ataç Hasan , Arıkan Yıldız Yağmur
Published: December 2024

Abstract: Modern power systems' increasing complexity and
size require improved analytical methods to guarantee efficient
and reliable operation. Power flow analysis (PFA) is one of the
basic methods used to determine the power distribution between
various busbars in a system and evaluate electrical network
performance. Gauss-Seidel, Newton-Raphson, and Fast
Decoupled techniques are widely used worldwide due to their
accuracy and computational efficiency. This study aims to
evaluate the performance of these techniques by applying these
techniques to IEEE 30-bus and IEEE 118-bus systems, which are
generally used as benchmarks in power system analysis, and to
explain their relative effectiveness in terms of convergence rate,
effectiveness of accuracy value computation time, and overall
accuracy in estimating power distribution. According to the PFA
results in the Matlab environment, as the accuracy value has
increased, the number of iterations has decreased for both systems.
For the 30-bus system, the best result in active line loss is obtained
with the Gauss-Seidel method, while the best result in reactive line
loss is obtained with the Fast-Decoupled method. Although the
results for the 118 busbar system are close to each other, the lowest
active power line loss has been obtained in the Gauss-Seidel
method, while the lowest reactive power loss value has been
obtained in the Newton-Raphson value.
DEVELOPMENT OF A SMART DEVICE FOR DETECTION OF CABLE FAULTS USING LOW FREQUENCY METHOD
Authors: Kaan Atar Oguz , Sezer Busra , Akif Mehmet , Mungan Mehmet , Cam Ertugrul , Ceren Zehra , Cakir Ibrahim
Published: December 2024

Abstract— The "Development Of A Smart Device For
Detection Of Cable Faults Using Low Frequency (VLF) Method"
project aims to reduce reliance on crucial devices for
underground cable fault detection by providing a cost-effective,
portable, and domestically developed solution. Designed in
compliance with the IEEE 400.2-2013 standard, the device
incorporates innovative features such as high-voltage
generation, a touch interface, and Bluetooth connectivity
Successfully evaluated in laboratory and field environments, the
system has reduced maintenance times, enhanced energy
continuity, and provided cost benefits. This project not only
strengthens local manufacturing capabilities but also
contributes to the advancement of predictive maintenance
techniques in energy distribution.Keywords— Very Low
Frequency, VLF (Very Low Frequency), Underground Cable,
domestic production Network, Non-Powered Measurement,
Fault Detection, Cable Fault.
Template Specify layer hardened cam shaft
Authors:   Technical University of Liberec, TUL, Skrbek Bretislav ,   TEDOM, Jirásková Věra
Published: December 2024

Definition of the thickness of the surface-hardened layer after induction heating according to ČSN
EN. Description of the hardened layers of the cam shaft of a diesel or gas engine with 19 surface-hardened cams
and bearings. Methods of direct and indirect determination of the thickness of hardened layers. The relationship
of the visual estimation of the thickness according to the etched cut to the thicknesses according to the HV
hardness curves. Possibilities of non-destructive methods to determine the thickness of hardening. An
experiment with the magnetic spot method and the DOMENA device. Knowledge for practical use. The
direction of further development.
Spiritualism in the Philosophy of Socrates
Authors: Sarma Ramala ,   Philosophy Documentation Center
Published: December 2024

The quest for knowledge, for Socrates, is a holistic approach in which the subject is required to transform himself. This brings Socrates’ philosophy closer to the self-enhancement practice of spiritualism. The present study tries to explore the spiritual hue in the key thoughts of Socrates, viz., self-knowledge, goodness, knowledge and virtue, conscious ignorance, training for death, and the investigative methods he used like irony, midwifery method, and dialectic method, etc. The work is an analytical study based on the relevant published works and the dialogues of Plato in which the character Socrates represents the philosophy of the historical Socrates.
Representações Sociais da Escola e do Bairro junto aos Alunos da Educação Básica:
Authors: Bomfim Natanael Reis , Costa Pereira Correia Sílvia Letícia , Dias da Silva Rejane
Published: December 2024

Este artigo tem como objetivo apresentar dois estudos desenvolvidos por dois Grupos de Pesquisa, da Universidade Federal de Pernambuco e da Universidade do Estado da Bahia, que articulam as representações sociais da escola e do bairro junto aos alunos da educação básica, como forma de contribuir com o fazer-pensar compartilhado nas práticas pedagógicas. Assim, questionamos: Quais são as representações sociais da escola e do bairro junto aos alunos? Como essas representações contribuem com os conhecimentos práticos do senso comum no processo de formação desses sujeitos? Os estudos, de caráter interpretativo/descritivo, aplicaram questionário com a TALP e mapas afetivos. Os resultados nos permitiram apreender as representações sociocogntivas e afetivas sobre a escola, entender como eles pensam e agem no seu bairro, seus atos e seus saberes capazes de orientar as práticas pedagógicas.
Revisões Sistemáticas Sobre Identidade Docente em Periódicos Brasileiros:
Authors: Diniz Lira André Augusto , Villas Bôas Lúcia , Alves Salustiano Dorivaldo
Published: December 2024

Este artigo analisa um conjunto de revisões sistemáticas sobre identidade docente, publicadas em língua portuguesa nos periódicos brasileiros a partir dos anos 2000, tomando, como eixo de discussão, seus aspectos teórico-metodológicos e suas principais ênfases de investigação. Foi realizado um levantamento no Portal de Periódicos Capes, na Plataforma Educ@ da Fundação Carlos Chagas e na SciELO Brasil, bem como em acervo pessoal dos pesquisadores, o que resultou em doze estudos. As revisões analisadas se debruçam tanto sobre as identidades docentes em um sentido mais geral, quanto em áreas mais específicas (educação matemática, educação física, biologia e medicina), notadamente a partir de meados da década passada, seguindo a tendência internacional. Por fim, destacam-se os avanços e as lacunas dessas produções.
merenderos como espacios no formales de la educación
Authors: Medina Maria Esther , Villarreal Augustin , Oviedo Luis H.
Published: December 2024

Los “merenderos” son espacios para la participación comunitaria, en ella se alimenta y se asiste a los miembros de una comunidad. Los Institutos Superiores de Formación Docente (ISFD) comienzan un trabajo en estos ámbitos, teniendo como finalidad vincular y re-vincular a niños y niñas a través de las prácticas pedagógicas de los estudiantes de los ISFD, luego del COVID-19. Se analizaron las prácticas pedagógicas de los estudiantes de los ISFD, y describieron las actividades formativas desarrolladas en merenderos. La investigación es cualitativa y de tipo exploratoria, con una muestra intencional de diseño no aleatorio en 4 merenderos como unidades de información. Los instrumentos utilizados fueron observación participante y se realizaron 10 entrevistas no estructuradas. El programa Atlas.ti permitió realizar un análisis de codificación y co-ocurrencia e interpretación de categorías y/o subcategorías. Se presentaron prácticas formativas en contextos formales, no-formales e informales por parte de estudiantes de la Formación Docente, se identificaron propuestas pedagógicas extracurriculares, y prácticas disímiles por el diagrama Sankey. Se observaron vinculaciones, revinculaciones como también posibles espacios no formales e informales que generarían una formación formal.
Diagnosis of HIV (AIDS) by Using deep learning and machine learning
Authors: Saleh Hadeel M , Oleiwi Abdulrahman Kareem , Abed Ahmed Abed Hwaidi
Published: December 2024

Human Immunodeficiency Virus (HIV) is a global health issue that can progress to Acquired Immunodeficiency Syndrome (HIV) if not diagnosed and treated early. The advent of Artificial Intelligence (AI), particularly in machine learning and deep learning, presents new opportunities for improving the accuracy and efficiency of HIV diagnosis. This research explores the application of AI techniques in diagnosing HIV by reviewing previous studies and proposing a novel AI-based approach. The proposed methodology leverages deep learning algorithms, such as convolutional neural networks (CNNs), along with advanced data preprocessing techniques to enhance diagnostic accuracy, sensitivity, and specificity. The results of the proposed CNN-based model show an accuracy of 96.2%, sensitivity of 95.8%, specificity of 96.8%, and an AUC-ROC score of 0.965. Compared to Random Forest (accuracy: 92.1%), SVM (accuracy: 91.5%), and traditional methods (accuracy: 89.0%), the CNN model outperforms existing techniques significantly in terms of accuracy, sensitivity, and specificity. This demonstrates the effectiveness of the proposed AI approach for enhancing early and accurate HIV detection.
Transformative Applications of Machine Learning across Healthcare, Finance, IoT, and Emerging Domains: Challenges and Future Directions
Authors: Mohammed Sahar Yousif
Published: December 2024

Language learning has changed in recent years with the inclusion of ArtificialIntelligence (AI) bots. This paper discusses how AI bots have changed languageacquisition, paying more attention on how they improve language learningexperience. The Article looks at what prominent AI bots such as Gemini,ChatGPT and Cloud can do to make personalized feedback a reality as well asenhance interactivity and convenience in language learning.This article examinesthe functionality of adaptive learning algorithms which correct errors in real time,along with immersive environments that demonstrate the importance of artificialintelligence bots in achieving effective language acquisition. AI Bots are enablingbetter tutoring, increased cultural awareness and expanded learning choices.The fieldof foreign language education has been revolutionized thanks to tailored supportprovided by AI bots that promote cultural understanding and also offer flexible waysfor studying.
An Analytical Study on Improving Target Tracking Techniques in Wireless Sensor Networks Using Deep Learning and Energy Efficiency Models
Authors: Ahmed Sahar Hamad
Published: December 2024

The work of Wireless Sensor Network (WSN) in goal tracking presentations, particularly in military, environmental, and surveillance operations, has garnered significant attention. In order to progress the accuracy, efficiency, and energy protection of these networks, a diversity of methods have been invented to resolve challenges such as real-time monitoring, multiple-target tracking, and resource optimization. This study examines a broad spectrum of algorithms and frameworks, such as energy-efficient methods, clustering methods, augmented state-based algorithms, and deep learning-based models, to address target tracking issues in WSNs. The outcomes emphasize the progress in the field, with a particular emphasis on enhancing tracking accuracy and reducing energy consumption, ranging from adaptive clustering methods to multi-sensor deep learning outlines. Recurrent neural networks (RNN), long short-term memory (LSTM), and prognostic models are instrumental in improving target detection, localization, and tracking. The examination also delves into the placement of WSN in a diversity of environments, including battlefields, intelligent transportation systems, and quantized areas, providing valuable visions into future trends and research orientations.
Pengabdian mahasiswa UNIKA Medan kepada masyarakat melalui Kuliah Kerja Nyata (KKN) di Desa Tanjung Beringin I, Kacamatan Sumbul, Kabupaten Dairi
Authors: Anggun Rosittauli Br Gurning  , Dewi Clara Damanik  , Trivani P Sihaloho  , Elva Septiani Br Siburian  , Marlince Naibaho  , Iyo Karsella Br Sembiring  , Febriany Tampubolon  , Lasro Tua Hutasoit  , Fiber Yun Almanda Ginting
Published: December 2024

The form of community service carried out by students is real work lectures (KKN). In an effort to educate the nation, one of the activities that needs to be carried out by KKN students is activities in the field of education. For this reason, counseling activities are carried out with the aim that KKN students are able to compile community service activity programs in the educational aspect. Counseling activities carried out by field supervisors and lecturers at UNIKA Medan to KKN students in Tanjung Beringin I Village, Sumbul District, Dairi Regency with the title "UNIKA Medan student service to the community through Real Work Lectures (KKN) in Tanjung Beringin I Village, Sumbul District, Dairi Regency". This activity can be carried out well and produces several KKN student activity programs in the field of Education, namely teaching Indonesian language lessons, English lessons, Mathematics lessons, reactivating religious studies, and helping teachers teach at PAUD. This activity targets elementary school students which also involves parents, teachers, village government, and village communities in Tanjung Beringin I Village, Sumbul District, Dairi Regency
Perkembangan Pasar Ternak Muaro Paneh Tahun 2001-2021
Authors: Handayani Fitri , Rusdi Rusdi
Published: December 2024

This study examines the development of the Muaro Paneh cattle market in Bukit Sundi District. The focus of this study is on the development of the Muaro Paneh cattle market and its impact on Nagari Muaro Paneh in 2001-2021. The importance of this research is because the development and existence of the Muaro Paneh cattle market has an impact on the people of Nagari Muaro Paneh and its surroundings, as well as being the wealth treasure of the nagari in improving the economy of Nagari Muaro Paneh. This study uses historical methods consisting of heuristics, verification or source criticism, interpretation, and historiography. Based on the results of this study, the development of the Muaro Paneh cattle market has an influence on the economy of the community around the market and the development of the market area. In the development of the livestock market, changes occur in the form of market buildings or in the physical development sector, as well as in the social, economic, and educational sectors. These changes are marked by changes in the existing buildings around the Muaro Paneh cattle market and the increasing economy of the people of Nagari Muaro Paneh.
Acacia cyanophylla (Lindley) Tohumlarının Çimlenmesinde Bacillus zhangzhouensis Bakteri Irkı ve GA3’ün Etkileri
Authors: Alp Şevket , Çığ Arzu , Bayram Muzaffer
Published: December 2024

Kıbrıs akasyası (Acacia cyanophylla Lindley) kurak ve yarı kurak bölgeler için hem estetik hem de fonksiyonel olarak kullanılan önemli türlerden biridir. İklim değişikliği nedeniyle ülkemizde kentsel açık yeşil alanlarda kullanımı artacak türlerden biridir. Bu çalışmada, dış mekân süs bitkileri grubunda yer alan bu türün tohumlarının laboratuvar koşullarında, cam petri kaplarında çimlendirilmesinde Bacillus zhangzhouensis (KF3A) bakteri ırkının ve giberellik asitin (GA3) etkileri araştırılmıştır. Son zamanlarda biyolojik gübrelemede ön plana çıkan ve bitki gelişimini teşvik eden bakteriler (PGPB) grubunda yer alan Bacillus zhangzhouensis ırkı azot bağlama, ACC deaminaz özelliği gösterme ve siderofor üretiminde aktif bir bakteri ırkıdır. Giberellik asit ise tohum çimlenmesini teşvik eden bir hormondur. Peyzaj düzenleme çalışmalarında sıkça kullanılan Kıbrıs akasyası tohumlarının çimlendirilmesinde KF3A ve 500 ppm konsantrasyonundaki GA3'in birlikte ve ayrı ayrı kullanıldıklarında çimlenme hızı ve oranı parametrelerine yaptığı etkiler ortaya koyulmuştur.
Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems
Authors: Heid Stefan , Kornowicz Jaroslaw , Hanselle Jonas , Hüllermeier Eyke , Thommes Kirsten
Published: December 2024

This study explores the co-construction of probabilistic scoring systems. Using
a self-developed web-based tool, called PSLVIS, participants were able to create
their own decision-support models through an interactive interface. Seven
academic advising experts participated, assessing the probability of student
success both with and without the assistance of a Probabilistic Scoring List (PSL).
The results indicate that while the co-constructed models slightly improved
the experts’ accuracy, they also increased decision time. Experts interacted
with PSLVIS and PSL in diverse ways, displaying different levels of algorithmic
aversion and appreciation. This study underscores the potential of decisionsupport
systems that integrate data-driven algorithms with human expertise,
while also revealing the wide range of challenges that need to be addressed for
successful co-construction and practical implementation.
Metode dan Mekanisme Kerja Sama Koperasi Model Multipihak
Authors: Andine Sekar Kinanti  , Farel Maisya Ramadhan  , Maria Agustina Aso  , Siti Aisyah  , Theresia Priselis A. L. Koban
Published: December 2024

Koperasi, organisasi yang pertama kali didirikan pada tahun 1895 ini merupakan gerakan ekonomi rakyat yang berdasarkan kekeluargaan. Koperasi pertama di Indonesia yang didirikan adalah De Poerwokertosche Hulp en Spaarbank der Inlandsche Hoofden (Bank Bantuan dan Tabungan Petani Pribumi Poerwokerto) dengan tujuan membantu masyarakat desa dan pedesaan. Pada awalnya bank ini dibentuk untuk menampung angsuran dari peminjam uang kas masjid dan setelah Kemerdekaan Indonesia, bank ini didaulat sebagai bank pemerintah Indonesia berdasarkan Peraturan Pemerintah No. 1 Tahun 1946 yang saat ini dikenal dengan nama PT Bank Rakyat Indonesia (Persero) Tbk (BBRI). Semakin berkembangnya zaman, semakin banyak pula berbagai macam jenis koperasi yang masuk di Indonesia, salah satunya yaitu Koperasi Multipihak, koperasi yang mengelompokkan anggotanya berdasarkan peran kelompok dalam lingkup usaha tertentu. Koperasi Multipihak di Indonesia menggunakan berbagai Teknik di antaranya pengelompokan anggota, one man one vote, hak suara berbobot, kerja sama dan pengambilan keputusan kolektif. Di Indonesia, sudah tercatat ada 166 Koperasi Multipihak yang sebagian besar merupakan koperasi baru. Banyak orang yang tertarik dengan Koperasi Multipihak. Sebab, KMP dianggap mampu merespons kebutuhan lokal secara lebih fleksibel dan memberikan manfaat yang lebih beragam kepada anggotanya. Menteri Koperasi dan UKM meyakini perkembangan KMP di Indonesia disebabkan oleh perubahan ekonomi dan teknologi. Dengan KMP ini, MenKopUKM berharap bisa membangun kekuatan industry di bidang pertanian dan budidaya perikanan melalui program Koperasi Multipihak untuk memanfaatkan teknologi di sektor manufaktur.
Duelo y resiliencia en madres y esposas de militares en México
Authors: Medina Hernández Cecilia Nayeli
Published: December 2024

La profesión militar se encuentra íntimamente ligada a los cambios de domicilio alrededor del país, por lo cual, las familias militares se ven obligadas a atravesar la pérdida de la residencia en innumerables ocasiones, sin embargo, para las esposas y madres de familia este proceso es silencioso y aislado, debido a las exigencias culturales que se les han impuesto. Por esta razón, el propósito del presente artículo es visibilizar el duelo que atraviesan desde la perspectiva de su rol como cuidadoras principales.
Desafios do autismo em um coletivo de famílias em vulnerabilidade social
Authors: Sena Isael de Jesus , Lima Camila Ramos de Souza , Perdiz Maria Izaura da Silva , Silva Caio Esteves , Santos Juliana Farias Moreira dos
Published: December 2024

Este artigo reflete como famílias beneficiárias do Bolsa Família e do Benefício de Prestação Continuada, afetadas pela incidência de diagnóstico de Transtorno do Espectro Autista, se posicionavam subjetivamente recusando-se à passividade, diante das vicissitudes enfrentadas por elas, com seus filhos, na busca por inclusão, tratamento e assistência social. Através do Coletivo de Famílias, instituímos um espaço de fala sob a forma de rodas de conversas, orientados pela escuta psicanalítica, buscando politizar a queixa em prol de implicações e microssoluções. Observamos que, apesar das tentativas de normalização repressiva e violação de direitos pelas instituições, as mulheres-mães demonstraram protagonismos em seu ativismo por justiça social. A matricialidade sociofamiliar, como núcleo social fundamental da Política Nacional de Assistência Social, não pode ser pensada apenas em termos operacionais. Os desafios consistem em promover laço social e reconhecimento das alteridades de tal modo que aqueles afetados pela vulnerabilidade social não sucumbam ao desencantamento.
Intervenções psicanalíticas com famílias
Authors: Miura Paula Orchiucci , Alves Ana Letícia Rios Castro , Silva Gisele da Luz Freire , Gonçalves Tainá de Paula , Oliveira Yasmin Cristini de
Published: December 2024

Intervenção com famílias no contexto da psicanálise pode promover um ambiente facilitador, que possibilita um espaço de reflexão e fortalecimento da parentalidade. Objetivou-se identificar, descrever e analisar as produções acadêmicas acerca da temática de intervenções psicanalíticas com famílias. Trata-se de uma revisão sistemática do tipo metassíntese. Utilizou-se cinco bases de dados (BVS, Capes, LILACS, PePSIC e SciELO). A amostra final contou com 18 artigos. Foram identificadas cinco categorias temáticas: “intervenção psicanalítica com famílias em diferentes contextos”; “intervenções psicanalíticas com famílias: crianças com TEA ou tendência antissocial”; “intervenções psicanalíticas em contexto de violência ou vulnerabilidade”; “intervenção psicanalítica no vínculo mãe-bebê”; “dispositivos psicanalíticos: pesquisa e intervenção”. Constatou-se a importância da escuta psicanalítica; do holding e suporte oferecido aos pais; do espaço de supervisão para os profissionais e ao ambiente institucional responsável pelas intervenções; uso de dispositivos psicanalíticos na pesquisa-intervenção.
Pengaruh Kualitas Layanan Dan Pengalaman Pasien Terhadap Word Of Mouth Dimediasi Oleh Kepuasan Pasien Di Ruang Rawat Inap RSUD Tobelo Halmahera Utara
Authors: Hododjojo Edmont , Bernarto Innocentius , Seftian Surya Welong
Published: December 2024

Penelitian ini bertujuan untuk mengeksplorasi pengalaman pasien rawat inap di RSUD Tobelo guna mengidentifikasi faktor-faktor yang mempengaruhi kepuasan pasien dan kualitas layanan, serta dampaknya terhadap loyalitas dan rekomendasi pasien melalui Word of Mouth (WOM). Dengan menggunakan metode kuantitatif survei analitik dan pendekatan studi potong lintang, penelitian ini melibatkan 160 responden dan analisis statistik inferensial menggunakan Structural Equation Modeling (SEM). Hasil penelitian menunjukkan bahwa pengalaman pasien memiliki pengaruh signifikan terhadap kepuasan pasien dan WOM. Sementara itu, beberapa dimensi kualitas pelayanan seperti assurance, empathy, reliability, dan responsiveness tidak memiliki pengaruh signifikan terhadap kepuasan pasien, baik secara langsung maupun melalui WOM. Temuan ini memberikan wawasan penting bagi manajemen rumah sakit untuk meningkatkan kualitas layanan dan mengurangi risiko WOM negatif, yang pada gilirannya dapat memperbaiki citra dan daya saing rumah sakit