bluuebunny/crossref_metadata_2025 huggingface dataset:
The Algorithm of Fear: Unpacking Prejudice Against AI and the Mistrust of
Technology
Authors: Hutson James , Plate Daniel
Published: December 2024

The mistrust of AI seen in the media, industry and education reflects deep-seated cultural anxieties,
often comparable to societal prejudices like racism and sexism. Throughout history, literature and
media have portrayed machines as antagonists, amplifying fears of technological obsolescence and
identity loss. Despite the recent remarkable advancements in AI—particularly in creative and
decision-making capacities—human resistance to its adoption persists, rooted in a combination of
technophobia, algorithm aversion, and cultural narratives of dystopia. This review investigates the
origins of this prejudice, focusing on the parallels between current attitudes toward AI and
historical resistance to new technologies. Drawing on examples from popular media and recent
research, the article reveals how AI, despite outperforming humans in some creative tasks, is often
undervalued due to bias. The evidence shows that the tool can significantly augment human
creativity and productivity, yet these benefits are frequently undermined by persistent skepticism.
The article argues that this prejudice represents a critical barrier to the full realization of the
potential of the generative technology and calls for a reexamination of human-AI collaboration,
emphasizing the importance of addressing these biases both culturally and within educational and
professional frameworks.
Python technology and its applications in radiomics
Authors: Xian Yun-Chuan , Zhang Bao-Lei
Published: December 2024

Python, developed by Guido van Rossum, is favored for its simplicity and extensive ecosystem of libraries, which facilitate efficient coding and integration with other programming languages. Here, we aim to explore and summarize the role of Python in radiomics, a field focused on extracting and analyzing quantitative features from medical imaging to improve disease characterization and treatment evaluation. Radiomics addresses the complexities of tumor heterogeneity by transforming imaging data from modalities such as computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) into actionable insights, often using statistical methods and machine learning techniques. Its primary applications include differentiating between benign and malignant tumors and predicting treatment outcomes, etc. Python is integral to several stages of radiomics, including image acquisition, region of interest (ROI) segmentation, feature extraction, and statistical analysis. By utilizing libraries such as PyRadiomics and Scikit-learn, researchers can significantly enhance the accuracy and efficiency of their analyses. Looking forward, Python holds considerable promise in radiomics, especially with ongoing advancements in medical imaging and big data. However, challenges such as data standardization, model interpretability, and patient privacy protection must be addressed to fully unlock its potential for improving diagnostic precision and patient outcomes.
Analisis Pengaruh Size, Leverage, Profitabilitas terhadap Manajemen Pajak pada Perusahaan Manufaktur di BEI
Authors: Putri Novianti  , Sugiharto  , Padriyansyah
Published: December 2024

Abstract : The purpose of this study was to determine and analyze the effect of tax factors on simultaneous and partial tax management in manufacturing companies in the Food and Beverage Sub-Sector listed on the Indonesia Stock Exchange for the period 2021-2022. This study uses quantitative descriptive research design. The method used to obtain the company's financial statements is to use the company's website. The focus of this research is all financial reports of manufacturing companies in the food and beverage subsector, consisting of 47 companies. A total of 18 companies were taken. The results obtained are a significant value of size of 0.039 which indicates that company size affects tax management in companies listed on the IDX in the food and beverage subsector. The significant value of leverage of 0.345 indicates that power has no effect on tax management in companies listed on the IDX in this subsector. The significant value of profitability of 0.308 indicates that profitability has no effect on tax management in companies listed on the IDX in this subsector.
Abstrak :  Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisa pengaruh faktor pajak terhadap manajemen pajak simultan dan parsial pada perusahaan manufaktur Sub Sektor Makanan dan Minuman yang terdaftar di Bursa Efek Indonesia periode 2021-2022. Penelitian ini menggunakan desain penelitian deskriptif kuantitatif. Metode yang digunakan untuk mendapatkan laporan keuangan perusahaan adalah dengan menggunakan situs web perusahaan. Fokus penelitian ini adalah semua laporan keuangan perusahaan manufaktur dalam subsektor makanan minuman, yang terdiri dari 47 perusahaan. Sebanyak 18 perusahaan diambil. Didapatkan hasil yaitu nilai signifikan size sebesar 0.039 yang menunjukkan bahwa size perusahaan berpengaruh terhadap manajemen pajak pada perusahaan yang terdaftar di BEI dalam subsektor makanan dan minuman. Nilai signifikan leverage 0.345 menunjukkan bahwa kekuatan tidak berpengaruh terhadap manajemen pajak pada perusahaan yang terdaftar di BEI dalam subsektor ini. Nilai signifikan profitabilitas 0.308 menunjukkan bahwa profitabilitas tidak berpengaruh terhadap manajemen pajak pada perusahaan yang terdaftar di BEI dalam subsektor ini.
¿De qué se habla cuando se habla de derechización? La disputa contemporánea por la autonomía relativa de la cultura
Authors: Rodríguez Orozco Alán Ricardo
Published: December 2024

El presente texto tiene el objetivo de problematizar la centralidad que en la emergencia, el fortalecimiento y la consolidación de viejas y nuevas extremas derechas juega la disputa por la definición de la cultura en las sociedades en las que operan. Esto, con la finalidad de demostrar que, si bien es verdad que éstas se movilizan al perseguir intereses económicos concretos, también lo hacen, y con igual o mayor virulencia, motivadas por la necesidad de determinar las formas de vida de las personas más allá de su dimensión económica, colocando en el centro de su actuar al estatus, el prestigio y sus privilegios asociados. En este sentido, se analiza la tematización que estas derechas hacen de la cultura en sus propios posicionamientos políticos e intelectuales públicos, para lo cual se retoman fragmentos discursivos enunciados por algunas de sus principales figuras de liderazgo; particularmente el caso de Javier Milei, dada la notoriedad que ha adquirido entre extremistas de este espectro político-ideológico. En términos formales, el artículo se divide en dos grandes apartados: el primero de ellos sitúa la discusión relativa a la pertinencia, el valor y la utilidad (política, epistemológica, ética e histórica) de la categoría de derecha en la producción de pensamiento crítico en el seno de las ciencias sociales americanas contemporáneas (al identificar el recorte de realidad diferencial y diferenciado al que remite). El segundo, por su parte, aterriza la discusión en la noción que estas derechas tienen de la cultura y su relativa autonomía respecto de la economía. ARK: https://id.caicyt.gov.ar/ark:/s18535925/9a90ae4ma
Atypical Complement-Mediated Hemolytic Uremic Syndrome Triggered by Molar Pregnancy
Authors: Pell Robert , Iwuagwu Cindy , Dixon Drake , Panting Marinna , Gue Shayne
Published: December 2024

Complement-mediated hemolytic uremic syndrome (CM HUS) is a rare but potentially devastating disease that results in intravascular hemolysis and thrombocytopenia, precipitating severe end-organ damage. CM HUS is a specific disorder under the collective group of thrombotic microangiopathies along with thrombotic thrombocytopenic purpura (TTP).

Pregnancy itself can be a precipitant of CM HUS, although rare, due to dysregulated complement activation. Typical pregnancy induces elevated complement activation in effect with equal elevation of inhibitory factors to protect the fetus. In a susceptible individual, pregnancy itself may contribute to complement dysregulation resulting in CM HUS. A high index of suspicion is required to differentiate the true cause of the presentation, as there is no specific testing for CM HUS. A devastating result of CM HUS is complete renal failure.

Management strategies may include plasma exchange and anti-complement immunotherapies. In this report, we will present a case of postpartum precipitated CM HUS complicated by acute kidney injury requiring hemodialysis and anti-monoclonal therapy.
Trauma, Trust, and Transformation
Authors: Jacobs Dr.Clarine
Published: December 2024

In the wake of the post-pandemic mental health crisis, occupational stress and burnout have worsened, leading to increased disparities between employers and employees. Trauma and its effect continue to grow due to inadequate support systems and leaders ill-equipped to provide necessary resources for individuals to cope and succeed. It is crucial to prioritize proper training, resources, and support to holistically manage the mental health of our workforce. This session will focus on building resilience from stress and trauma by creating a more supportive environment. The breakdown in connections and trust stems from a lack of focus, high-speed interactions, and diminished interpersonal relationships. Therefore, it is imperative for leaders to dismantle existing barriers and construct bridges to close the divide. The cultivation of kindness in interpersonal communication has emerged as a critical leadership attribute and practice. The integration of kindness into leadership and organizational culture can significantly influence increased productivity, enhanced engagement, and improved retention, particularly in the midst of a turbulent and disruptive landscape.
A Study on Impact of 360-Degree Performance Appraisal and its Effect on Job Performance: A Conceptual Framework
Authors: Dr. Khan Rushina  , Dr. Deepak Sharma  , Dr.K.Santhanalakshmi  , Dr. P. Nithya Preetha  , Dr. K. Karthikeyan
Published: December 2024

This research deals with the use of 360-degree performance appraisal (PA) in employee job performance in different organizational settings. The entire study is based on a quantitative approach, where data is collected from 200 employees working in diverse sectors such as healthcare, education, and finance. The results show a significant positive linkage between 360-degree feedback and performance in work, as reported, where improvement was seen at 15% levels in employee performance metrics after its introduction in appraisal. Key determinants of this change include better communication, enhanced self-awareness, and better congruence between personal goals and organizational goals. This study also points to fairness, openness, and ongoing feedback as driving these positive effects. Statistical analysis of the data shows that 80% of employees who received 360-degree feedback had increased job satisfaction and stronger commitment to the jobs. At the same time, however, biases in feedback, inadequate training, and the necessity for clear goal-setting were identified as barriers to its implementation. Further research finding, then, indicates that 360-degree appraisals are able to significantly improve job performance but only if the limitations are properly managed. This article is of importance in respect to the current discussion on performance appraisal systems and useful insights for HR practitioners considering the implementation or enhancement of 360-degree feedback mechanisms.
SCIENTIFIC AND CONCEPTUAL FOUNDATIONS OF EDUCATION OF PRIMARY SCHOOL STUDENTS BASED ON THE ANTHROPOCENTRIC APPROACH IN THE PROCESS OF INCLUSIVE EDUCATION.
Authors: Oppokkhodjaev Khodjikhudja Azimjon ogli  , Shermatova Yakut Sabirovna  , Melibaev Tavakkal Turgunovich  , Turdalieva Munavvarakhan Ikhtiyor kizi
Published: December 2024

The article examines the legal basis for the education of primary school students based on the anthropocentric approach in the process of inclusive education, the relevance of the problem of teaching primary school students based on the anthropocentric approach in the process of inclusive education, students in the process of inclusive education. Inclusive education based on the anthropocentric approach consists in the study of pedagogical aspects of improving educational mechanisms. Brief summary of the terms "anthropocentric approach" and "inclusive education" in modern educational conditions, focus on the development of cognitive independence of students in inclusive education in educational activities, development of principles and technologies of the anthropocentric approach, problems of formation of both pedagogical and research abilities of teachers and individualization of educational goals, components of the anthropocentric approach, anthropocentric approach formation, goals and objectives that need to be solved when teaching primary school students in the process of inclusive education based on the anthropocentric approach, problems arising in inclusive education, teaching primary school students in the process of inclusive education based on the anthropocentric approach, the basics of education, teaching children with developmental disabilities, their adaptation to social life, rehabilitation and correction, implementation of the principle of "Education for All" is an important task.
Development of vocabulary of children with speech deficiencies through didactic games
Authors: Makhmudova Madinakhan Sobirkhanovna  , Makhmudov Khurshidzhon Shukhratovich  , BabaevaAzizabonuHamidzhonkizi
Published: December 2024

The article is devoted to the development of vocabulary of children with speech development deficits through didactic games, solving problems associated with the information of scientists about the quantitative stock of vocabulary in children, the presence of speech development deficits, with a violation of all communicative qualities of the speech system associated with sound and meaning in conditions of normal hearing and intelligence, which means various complex speech disorders, and speech correction of preschool children.
FEATURES OF SILVER THIN FILMS APPLIED ON FTO GLASS PLATE FOR DYE-SENSITIZED SOLAR CELLS USING GREEN SYNTHESIS AND CATHARANTHUS ROSEUS LEAF EXTRACT
Authors: DEEPA.G  , Dr O.N. Balasundaram
Published: December 2024

Silver thin films accumulated on an FTO-coated glass substrate with different molar concentrations using the spray pyrolysis process. Silver-nanostructured films are deposited using Catharanthus roseus leaf extract and silver nitrate solution. According to the study, growth and shape/size are significantly influenced by the silver thin film method's response time. Silver thin films have been studied using the UV-visible spectrophotometer, Photoluminescence [PL], Field Emission Scanning Electron Microscope (FE-SEM) with EDX, X-Ray Diffraction (XRD), and finally AFM techniques. Lastly, these films are effectively applied in dye-sensitized solar cells.
UTILIZING MACHINE LEARNING ALGORITHMS TO IMPROVE THE ACCURACY OF SOLAR ENERGY YIELD PREDICTIONS BASED ON VARIOUS INPUT VARIABLES
Authors: Mohd Abdullah Al Mamun  , Abdullah Al Hossain Newaz  , Yasin Arafat  , Anwar Hossain  , Md Mehedi Hassan Melon
Published: December 2024

This paper explores a framework for an ML model for solar yield estimation using random forest, gradient boosting, support vector machines, and neural  networks There are various factors affecting solar energy production, some of which are weather conditions, solar intensity, temperature, among others, and characteristics of the panel. The trend for development and usage of renewable energy sources continues to gain momentum. The estimation of production rates for solar energy is crucial for the efficiency of energy generation, transmission, and supply. Hypothesis-driven and list-based models of traditional statistics are sometimes rather low in predictive validity because the relationships between these factors may be non-linear and highly interactive. The complex structure of these dependencies indicates that advanced ML algorithms are an appropriate approach to modeling the yield and increasing the utility of the resulting predictions. This work predictively analyzes historical solar generation data and climatic factors and preprocesses the data through normalization and feature engineering. The models are then adjusted and tested using a cross-validation approach in order to minimize the risk of obtaining high accuracy values only on the training data set. Evaluations of performance with mean absolute error, root mean square error, and coefficient of determination are used to measure the efficiency of each model. Machine learning algorithms widely outperform other models when applied to predict the yield of solar energy in the same or related areas. The random forests seem to perform better for prediction because they operate in an ensemble, which allows for modeling interactions between them. Through enhanced prediction precision, the approach proves to be a helpful resource for solar energy managers to attain better correlation between supply and demand, enhance solar energy production, and encourage the use of sustainable energy resources. Extension of this study in future work would involve the use of real-time data coupled with adaptive learning models to improve the prediction resilience.
MULTI-USE APPARATUS IN MECHANICS AND HEAT
Authors: Dr. Carmelo V. Ambut  , Belinda G. Zamora  , Robert A. Guillergan
Published: December 2024

The equipment, which has versatile applications in mechanics and heat, consists of a base, a detachable upright post, a bottom level adjuster, and a top holder. It is applicable for conducting experiments on several subjects including uniform acceleration, friction, moment of inertia, conservation of linear momentum, center-of-gravity, principle of moments, simple harmonic motion, Bernoulli's principle, heat expansion, and heat conductivity. Throughout the execution of an experiment, its crucial components are systematically assembled. The holder is fitted with a locking mechanism that ensures the secure fastening of interchangeable accessories. The tests can be tailored to suit the intended results. The components of the apparatus are detachable, facilitating easy assembly and disassembly, while also allowing for increased storage capacity, transportation convenience, and inventory management. To facilitate and expedite the process of assembling and disassembling, all components are meticulously and systematically stored in a container. The current concept provides a multitude of advantages through the optimization of mechanics and the implementation of heat-efficient testing.
Heat and Mass Transfer Performance of Dufour and Heat Source on Casson Fluid Flow Past an Inclined Oscillating Rotating Porous Plate with Chemical Reactions and Thermal Radiation
Authors: C. Manigandan  , S. Senthamilselvi
Published: December 2024

The current research presents an analytical interpretation of unsteady-free convective hydromagnetic boundary layers, focusing on how the Dufour effect, thermal radiation, and chemical reactions influence Casson fluid flow through a rotating porous medium, around an inclined oscillating platewithin a uniformfield. The governing equations are solved using the Laplace transform method, with the results presented visually through numerical values of Casson fluid velocity, temperature, and concentration at the plate, based on various key parameter values. The study examines how the Casson fluid behaves compared to Newtonian fluid, with the Casson fluid demonstrating a higher velocity. The findings also show that, as temperature decreases, parameters such as the Grashof number, Dufour effect, thermal radiation parameter (R), and chemical reaction parameter (K) increase. Additionally, increasing the chemical reaction parameter (K) causes a reduction in concentration. In analyzing the fluid flow, the study also measured the influence of Prandtl, Schmidt, thermal, and Grashof numbers. The results indicate that the velocity of the fluid decreases with higher radiation levels, but increases when the heat source and Grashof number are elevated. Similarly, rising radiation levels reduce temperature, while a stronger heat source increases it.
Exploring the Relationship Between Social Media Engagement and Academic Achievement Among Chennai's Adolescents
Authors: Kalaichelvi E  , Dr S Jayakani
Published: December 2024

In the business world, customer pleasure is neither foreign nor novel. All facets of the Indian economy have adopted it, but the service sector places a premium on it, and the banking sector especially values it. Unorganized and Unstructured: Although customer satisfaction has been practiced for a long time, it has never been organized or structured. To study the overview and customer satisfaction of banking services offered by the private sector banks. Frequency analysis found that the out of 150 respondents, 43(28.7%) of the respondents are belong to below 25 years.(29.3%) of the respondents are belong to 26-35 years of age people. 45(30%) of the respondents are belong to 36-45 years of age group. 16 (10.7%) of the respondents are belong to 46-55 year of age people. 2 (1.3%) of the respondents are belong to above 55 years of age group customers. The majority of the respondents are belong to 36-45 years of people maintain account in private sectors bank sinkancheepuram district. customer satisfaction as the dependent variable and five independent variables such as Satisfaction on Infrastructure (x1), Satisfaction on technology(x2), Satisfaction on Product and Services (x3), Satisfaction on Loan settlement (x4) and Satisfaction on bank management (x5) are taken as predictor variables. Satisfaction on Infrastructure (t=2.143, p=0.002), Satisfaction on technology (t=3.668, p=0.010),Satisfaction on Product and Services (t= 4.511, p=0.00), Satisfaction on Loan settlement (t=4.571, p=0.000) Satisfaction on bank management (t= 3.541, P= 0.000).According to this study, private sector banks must do more to entice consumers in the younger age range to create accounts. In the current technological era, the majority of customers are tech savvy and aware of the new and improved technologies that are being introduced on a daily basis, as well as what banks are acquiring or may acquire. Therefore, banks should adopt new and improved technology as needed since they risk losing both current and potential consumers if they do not keep up with emerging innovations.
Integrating IVIFS and Butcher’s RK Method for Multiple Attribute Group Decision Making: Mobile Brand Selection
Authors: KAVITHA.P  , AKILA.S
Published: December 2024

Problems in MAGDM (Multiple Attribute Group Decision Making) are examined using IVIFS (Interval-Valued Intuitionistic Fuzzy Sets). To aggregate the Interval-Valued Intuitionistic Fuzzy Decision Matrices (IVIFDM), subjective geometric & hybrid geometric operators are employed. Decision-maker weights are determined using Runge-Kutta methods, which are applied to the decision-making process. A new Extended Hamming Distance formula is used to rank the alternatives. A numerical instancehad been given to demonstrate effectiveness of proposed method.
Peer to Peer (P2P) IR Optical Communication used for Underwater or Open Air Medium
Authors: Reena Durugwar  , Prof Dr. Sanket B. Kasturiwala
Published: December 2024

Although the hydrosphere protects most of the world, scientists and researchers from all over the world think that the world is underwater because it is difficult to know  the concept of underwater optical wireless communication (UOWC)  has recently received a lot of attention is not new , seawater's reduced blue-green light absorption window has rekindled interest in it recently, but the security issues surrounding it have received little attention. In this paper, we show how messages sent using UWOCs can be heard without the intention of the sender or receiver, using diffraction collision. This is attributed to its high data exchange capacity and low cost. Therefore, we organize this review around various aspects of the Underwater Optical Remote Switching (UOWC) field; here we introduce the main communication techniques and present their shortcomings and merits. Underwater optical wireless communications can support higher data rates with lower latency than their acoustic and RF counterparts. We also show for the first time that UWOC is possible even in the ultra-saline Dead Sea by analyzing how many Gaussian beams propagate through the water. We will review the connections and project plans and present a summary of the most prominent works from 1992 to the present. The paper is focused on those who need to embrace and concentrate on UOWC. [2] It        ours an outline of the ongoing innovations and those possibly accessible soon. Specific consideration has been given to obring a new reference index, particularly on the utilization of single-photon collectors. We measure how far away the receiver can hear the message. Many theoretical studies and experiments focus on achieving effective communication strategies. This is important for optimization, military and security purposes, and for the management of maritime assets. Underwater communication technology, which uses acoustic or electromagnetic waves (in the radio frequency spectrum or light spectrum), has made great progress with the use of telephones and wireless. Although acoustic communication accepts long-distance communication, its low data rate, high speed, and negative effects on sea air have made people aware of communication based on electric waves. Electromagnetic waves provide high data and high speed communication. Also, the turbidity of the water does not affect underwater RF communication, air and water exchange. [2] However, they are very expensive. Surprisingly, none of the above methods can match the performance of wireless communication in the spectrum. We also examine the most important moments affecting light propagation and consider them together with coding techniques.
A Hybrid Method For Detection Of Lung Cancer Image Using Threshold Technique And KNN Algorithm
Authors: Ms. Rucha Alandikar  , Dr. Bhagwan D Phulpagar  , Dr. Pramod  D Patil
Published: December 2024

Lung cancer is a leading cause of death worldwide due to late diagnosis and inefficient detection methods. Accurate, early detection significantly improves patient outcomes. This paper presents a hybrid method that combines image segmentation, threshold techniques, and a hybrid KNN-CNN algorithm to enhance lung cancer image detection. The study examines existing segmentation and machine learning methods, proposes a novel algorithm, and validates its performance using benchmarks. The results demonstrate improved accuracy, sensitivity, and computational efficiency compared to existing approaches.
Synthesis & Characterization of Parylene D films on Nafion-117 for Robotic Arm
Authors: Shara Khursheed  , Dr. Mohammad Zain Khan  , Dr. K. M. Moeed  , Mohammad Farhan Khan  , Dr. Nazrul Haq  , Dr. Rida Sageer
Published: December 2024

The era of industrialization needs the discovery of new materials rapidly. The ionic nature of Nafion 117 makes it feasible for the biosensors and other robotic devices. The uncoated nafion 117 is highly unstable at high temperature and evaporative water loss is also present. The coating of noble material make it more efficient and highly stable at adverse conditions. The high cost of noble material may be barrier fpr its day to day applications. Therefore, parylene D has been selected as coating material for base substrate material to maintain its efficiency as well as working. The present study is done to compare the parylene D coated material with the uncoated nafion 117. The water holding capacity and ion exchange capacity has been investigated in the given research.
Mimosa pudica Mucilage as a Functional Polymer in Pharmaceutical Applications
Authors: Poonam Taru  , E. Bhavya  , T. Shanmugarajan
Published: December 2024

Mimosa pudica mucilage has emerged as a versatile natural polymer with considerable potential for pharmaceutical applications due to its biocompatibility, biodegradability, and unique physicochemical properties. This study explores the extraction, characterization, and evaluation of Mimosa pudica mucilage, focusing on its use as a functional polymer in drug delivery systems. The mucilage was characterized for its organoleptic properties, swelling index, solubility, flow properties, and ash content. Results indicate that Mimosa pudica mucilage exhibits good swelling and gelling properties, making it ideal for use as a binder, disintegrant, and controlled-release agent in pharmaceutical formulations. Its high purity, as reflected by low ash values, and favorable flow properties further enhance its suitability for solid dosage forms. The findings of this study suggest that Mimosa pudica mucilage can serve as a promising alternative to synthetic polymers, offering advantages in terms of safety, cost, and environmental sustainability.
Educational tutoring in school engagement in secondary education students
Authors: Nicanor Piter Saavedra-Carrion
Published: December 2024

To analyze the level of development of educational tutoring (TE) and school engagement (CE) in high school students, as well as to characterize the possible causal correlation between these variables. The sample was determined by stratified probabilistic processes and consisted of 111 high school students from an educational institution in Ayacucho, Peru. It is a basic, quantitative, correlational-causal, descriptive-transversal and non-experimental study. Face-to-face questionnaires were used, proposed by León and Fernández-Díaz (2019) to measure the TE and Mora-Romo and Martel-Muñoz (2022) for the CE, both showed measurement validity by means of exploratory and confirmatory factor analysis, and their reliability was 0.927 and 0.820 Cronbach's alpha respectively, being both of acceptable internal consistency. From the analysis of the ordinal logistic regression, it was verified that the educational tutoring model is an influential factor on school commitment, because the Sig. value of the model adjustment report was 0.000; showing that the model is plausible, in addition, the R2 determination value corroborated what was established, evidencing that educational tutoring explains, according to Nagelkerke 42.2% of the variation of school commitment. Tutors who help to identify and address the individual needs of students have an impact on the improvement of self-esteem and sense of belonging in the school community, where the close link between the tutor and the students promotes an environment of valuation and active listening, increasing their interest and participation in learning.
Uskontotieteen ja teologian yhteistyön edellytyksistä
Authors: Martikainen Tuomas
Published: December 2024

Kirjoituksessa pohdin suomalaisen teologian ja uskonnontutkimuksesta yhteistyön edellytyksiä.
High sensitivity detection of influenza virus using polymer-coated microcavity biosensor
Authors: Wang Yuanyuan , Cui Shihao , Gu Yuchao
Published: December 2024

Influenza viruses are a major global public health concern because they cause seasonal epidemics and sporadic pandemics. The sensitivity and specificity of viral detection can be improved through recent developments in biosensor technology. The capacity of microcavity biosensors to detect biomolecules, including viruses, in real-time without requiring labels caused interest among them. In this study, we present a novel polymer-coated microcavity biosensor for the high-sensitivity detection of the H1N1 influenza virus. The main microcavity structure of this label-free biosensor is intended to improve sensitivity by optimizing performance characteristics specific to viral samples. The simulation indicates the microcavity resonator’s outstanding sensitivity in H1N1. Our biosensor efficiently detects H1N1 at lower concentrations than conventional diagnostic techniques by utilizing a polymer coating that improves binding affinity and encourages the immobilization of certain antibodies. Using the polymer layer enhances the sensor’s functionality and confers biocompatibility, opening up possible uses in point-of-care environments. The polymer-coated microcavity biosensor, according to our research, is a potential platform for early, sensitive, and quick influenza virus detection, greatly assisting with public health response and monitoring activities.
Swoboda świadczenia usług i swoboda przedsiębiorczości a zawód komornika sądowego
Authors: Pawiłowicz Karolina
Published: December 2024

The article deals with the issue of the possibility of applying the freedom to provide services and the freedom of establishment to court bailiffs. The author, taking into account the legal nature of the profession of bailiff, analyzes the EU legal bases – both primary law and secondary law. Using the jurisprudence of the Court of Justice of the European Union and the significant progress achieved in this regard in relation to notaries, and including the contradictory opinions of the doctrine that have occurred over the years, the author attempts to assess the profession of court bailiff in the light of freedom to provide services and freedom of establishment.

Keywords: freedom to provide services, freedom of establishment, court bailiff
Research on the Relationship between Leadership Skills and Participation in Extracurricular Sports Activities among Junior High School Students in Hainan, China
Authors: Wang Jing , Ismail Aziah
Published: December 2024

This research explores the relationship between leadership skills and participation in extracurricular sports activities among junior high school students in Hainan, China. The study aims to investigate how engagement in sports activities outside of the regular curriculum contributes to the development of leadership qualities such as communication, teamwork, decision-making, and problem-solving. A quantitative approach was employed, the surveys with 512 students to gather quantitative data. The findings indicate a significant positive correlation between active involvement in extracurricular sports and the enhancement of leadership skills, with students demonstrating improved confidence, responsibility, and social cohesion. These results suggest that participation in sports plays a critical role in fostering leadership abilities at a formative age, providing valuable insights for educators and policymakers to promote well-rounded student development through extracurricular programs. The study also highlights potential cultural and regional factors unique to Hainan that may influence the dynamics of leadership and sports participation. The research highlights the important role of extracurricular sports in developing leadership skills among junior high school students in Hainan, China. It suggests that schools and policymakers should prioritize sports programs, as they contribute to key leadership traits like teamwork, communication, and problem-solving. These activities not only enhance physical health but also foster personal growth, including confidence and responsibility. The study emphasizes the value of designing sports programs that actively promote leadership development and the importance of considering cultural and regional factors. Additionally, it encourages further research on the long-term impact of sports participation on leadership and its transfer to academic and career success.
Digital Literacy of Social Media Users in Preventing Online Gender-Based Violence in Indonesia
Authors: Setyaningsih Rila , Santoso Didik Haryadi , Nurwahid Aditya Fahmi
Published: December 2024

Online Gender-Based Violence (OGBV) is violence committed against a person based on gender or gender with the help of digital technology. Women are the most vulnerable group to becoming victims of OGBV, although it is possible that men can also be victims. It is important for social media users to have online resilience or the ability to deal with negative risks in the online world. This study explores the types of OGBV that occur and efforts to prevent recurrence of cases. This study uses a constructivist paradigm with a qualitative research design with the type of case study. The subjects in this study consisted of six people. Interviews, observations, and documentation are the data collection techniques used in this study. Data analysis in the study consists of several steps (i.e., data reduction, data presentation, and drawn conclusions) as well as triangulation and source triangulation techniques to ensure the validity of the research data. This study found several types of online gender-based violence experienced by victims. These types of online gender-based violence are verbal harassment and bullying, account hacking, cyberstalking, and threats of sexual violence. The victims already have digital literacy skills to prevent the recurrence of the case. Digital literacy in question is in the form of efforts to maintain digital security on the social media accounts used. These findings are an important basis for the development of more effective and appropriate policies and intervention programs in accordance with local conditions.
面对人工智能冲击的软件专业教育: 问题分析与对策
Authors: 黄海辉
Published: December 2024

黄海辉
韶关学院信息工程学院，广东韶关
摘要：随着人工智能技术的快速发展,特别是大型语言模型和生成式AI的突破,软件开发行业正经历深刻变革。传统的软件工程教育面临着前所未有的挑战,如何调整课程内容、创新教学方法、培养适应未来需求的人才成为亟待解决的问题。本文探讨了人工智能对大学软件专业教学的影响及其应对策略。文章首先分析了AI技术的最新发展及其在软件开发中的应用,随后深入探讨了AI对软件专业教学带来的挑战,包括课程内容、教学方法、就业市场和教师角色的变革。针对这些挑战,文章提出了一系列应对策略,如调整课程体系、创新教学方法、深化产学研合作、培养学生的AI素养和创新能力,以及加强教师队伍建设。最后,文章展望了软件专业教育的未来发展趋势,并就政策支持和持续改进提出了建议。本研究旨在为教育决策者和实践者提供参考,以促进软件工程教育在AI时代的有效转型。
Deepfake Detection on Social Media: Leveraging Deep Learning and Fast Text Embeddings for Identifying Machine-Generated Tweets
Authors: P GOWTHAMI DEVI  , K BANGARU LAKSHMI  , G MADHURI
Published: December 2024

Recent improvements in natural language generation offer a new means to influence public opinion on social media. Moreover, developments in language modelling have considerably augmented the generative capacities of deep neural models, equipping them with improved competencies for content creation. As a result, text-generative models have gained significant potency, enabling adversaries to leverage these capabilities to enhance social bots, facilitating the creation of authentic deepfake postings and swaying public conversation. In order to address this issue, trustworthy and efficient techniques for detecting social media deepfakes are essential. Automated text on Twitter has been identified in recent studies. To determine if tweets are generated by humans or bots, this study employs the publicly available Tweepfake dataset and a basic deep learning model that makes use of word embeddings. Using a CNN architecture, FastText word embeddings can detect deepfake tweets. This study utilised many machine learning models as baseline approaches to demonstrate the higher performance of the proposed approach. Some of the fundamental techniques used here were Term Frequency, Fast Text subword embeddings, FastText, and Term Frequency-Inverse Document Frequency. Additional comparisons with other DL models, such as CNN-LSTM and LSTM, demonstrate the effectiveness and benefits of the suggested approach in precisely resolving the issue. The experimental results demonstrate that Twitter data may be efficiently and accurately classified with a 93% accuracy rate using CNN architecture and FastText embeddings.
Psicanálise e psiquiatria: a estrutura e a negação na psicopatologia lacaniana
Authors: Cabral André Fernando Gil Alcon
Published: December 2024

Nos séculos XX e XXI, os DSMs produziram uma multiplicidade diagnóstica que resultou num aumento significativo das doenças. Ao privilegiar a dimensão quantitativa das patologias, esses manuais representaram uma demissão clínica da ciência médica, e, por conseguinte, da psicanálise, ao elidir a noção de causalidade. Contrariando parte majoritária do movimento psiquiátrico, a psicanálise parece ter insistido nas mesmas nosologias de outrora, conservando a diferença qualitativa entre as estruturas da neurose e da psicose. Assim, buscamos elucidar o que habilitou os DSMs a aumentar significativamente sua classificação, ignorando as advertências do saber médico e psicanalítico. Em seguida, verificamos que o conceito de sujeito se faz imprescindível para pensarmos a noção de estrutura e psicopatologia. Nos aproximamos da dialética hegeliana, abordando os modos de negação da falta, bem como os problemas enfrentados pela psicanálise para sustentar o diagnóstico estrutural. Se para Jacques Lacan a psicose e a neurose representam a perda da realidade, por outro lado, a neurose é privilegiada, sendo aproximada à noção de normalidade na medida em que toma o lugar de centralidade na psicopatologia lacaniana. Por fim, trata-se de retomar os modos de subjetivação do real na medida em que abordamos os juízos de atribuição e existência para Laca
Horizontes neoliberais na subjetividade
Authors: Alemán Jorge , Gomes Maria C.
Published: December 2024

O texto de Jorge Alemán intitulado “Horizontes neoliberais na subjetividade” foi publicado em 2016 como capítulo de um livro homônimo, além de uma série de textos centralizados nesta temática tão atual. O debate proposto por Alemán aponta principalmente para a especificidade do neoliberalismo, já que seria o primeiro regime histórico a tentar atingir o simbólico. Ao disputar o campo do sentido, busca capturar o sujeito pela palavra que é sua dependência estrutural. Sua novidade é promover um modelo de subjetividade que se configura pelo paradigma empresarial, competitivo e gerencial, ou seja, o indivíduo empreendedor de si mesmo. Esta nova subjetividade, marcada pelo imperativo do ilimitado, espolia qualquer possibilidade de um legado simbólico ou história a decifrar sobre a subjetividade particular de cada um. Tentando promover assim uma heterogeneidade, que se reduz ao circuito da forma mercadoria. Nesse sentido, a contribuição de Alemán passa pelo reconhecimento dessa impossibilidade, já que nem tudo é apropriável pelo Capital, como exemplificado pela categoria de sujeito, que se constitui como aquilo que possibilita a abertura para a diferença, para a não-totalização.
A relação mãe-filho em Eu matei minha mãe: análise winnicottiana
Authors: Silva Gisele da Luz Freire , Alves Eriel Euller Messias , Nobre Rafael Medeiros de Amorim , Miura Paula Orchiucci
Published: December 2024

Na adolescência, período de descobertas pessoais, ocorrem inúmeras mudanças e tensionamentos subjetivos. Nesse período acontece um considerável desinvestimento das relações familiares e um investimento nas relações exógenas. O presente artigo teve como objetivo analisar a relação ambivalente entre mãe e filho no filme Eu matei minha mãe, a partir do referencial teórico winnicottiano. Trata-se de um estudo qualitativo com base na análise fílmica, cujas fases foram: identificação (escolha da obra), decomposição (ou descrição) e interpretação (discussão do tema central presente na obra cinematográfica). No processo de análise, foram elaboradas quatro cenas emblemáticas para discussão acerca da relação ambivalente entre mãe e filho: em uma discussão com a mãe no jantar, Hubert a trata com desprezo; em um desentendimento, Hubert xinga a mãe; depois de uma discussão entre Hubert e Chantale, aparece a imagem dela no caixão, como se fosse fruto da imaginação do filho; a mãe abraça o filho, que retribui o gesto de carinho. Observou-se que os confrontos e ataques agressivos direcionados à figura materna dizem respeito não somente a uma agressividade, mas sobretudo ao caráter ambivalente dessa relação, em que o adolescente relaciona-se ora a partir de impulsos amorosos (elogios, demonstrações de afeto), ora a partir de impulsos agressivos (insultos, desprezo). No filme em questão, há o movimento, por parte do adolescente, de testar a capacidade da mãe de suportar e sobreviver a todo esse ódio e desprezo, em face da deprivação sofrida decorrente da separação dos pais.
Palavras-chave: Relação mãe-filho. Adolescência. Análise fílmica. Teoria winnicottiana.
El lamento de Áyax: anotaciones sobre la condición humana actual desde el Psicoanálisis aplicado al mito
Authors: Sarmiento Juan David Almeyda
Published: December 2024

Esta pesquisa visa demonstrar como, a partir do mito grego do Ajax, é possível elucidar certas práticas e fenômenos do sujeito neoliberal contemporâneo no momento de ser retroiluminado pela Psicanálise. Para tanto, a escrita se divide em três momentos: o primeiro, que desenvolve a maneira como é possível encontrar no Ajax uma visão primitiva do homo oeconomicus neoliberal; a segunda, desenvolve a maneira pela qual a loucura de Ajax pode ser extrapolada para o indivíduo atual, interpretando seu sofrimento através das ferramentas interpretativas da Psicanálise; Por fim, o complexo de Ajax é proposto como forma de conglomerar a maneira como o que o herói grego sofreu se reflete no ser humano hoje e, ainda, como é que esse complexo pode ser superado.
Palavras-chave: Mitologia. Saúde mental. Psicologia. Neoliberalismo.
Dos rumos da análise: construções e reconstruções de uma história singular a partir da interpretação em Lacan
Authors: Ravizzini Simone , Baldin Talita
Published: December 2024

Este artigo parte da concepção de sujeito, sustentada pelo pensamento de Lacan, que aponta para algo que se esvai no advento do sentido. A partir desse pressuposto, propomo-nos a caracterizar que função teria o eu, situando-o no contexto analítico, perante a interpretação em uma análise. Diante disso, questionamo-nos qual seria seu lugar, posto que estamos acostumados a entendê-lo como uma unidade que nos constitui e que elabora nosso pensamento. Embora pareça ser uma questão simples, a leitura dos textos freudianos, sob o prisma de Lacan, oferece à interpretação um outro lugar – e um lugar imprescindível –, quando se delimita o rumo de uma análise, não como aquela que fomenta o fortalecimento do eu, mas como a que propicia um percurso que ampara o vazio que nos consiste. Considerado isso, este trabalho busca explicitar os processos que constituem uma análise, enfatizando a sustentação de um espaço singular que permita ao sujeito reinventar sua própria história, respeitando o vazio que lhe é inerente.
Palavras-chave: Constituição. Sujeito. Interpretação. Psicanálise. Lacan.
AS “MULATAS” DO RENASCENÇA: UMA CONSTRUÇÃO SOCIAL A PARTIR DA ANÁLISE DAS REPORTAGENS DA REVISTA “O CRUZEIRO”
Authors: Fonseca Michelle de Barros
Published: December 2024

This article proposes a reflection about the social construction of the Brazilian “mulata” and her different representations that place her in an ambiguous field. On one side, symbol of the Brazilian beauty, a reflection of the miscegenation and of an alleged social democracy. On the other side, her hyper sexualization, objectification and sexual availability. I take as a starting point the analysis of the features from Revista O Cruzeiro about the Miss Guanabara pageants in the years 1960 to 1964. In this period, Clube Renascença, founded by black middle-class families, starts to submit its “mulatas” candidates to the Miss Guanabara pageant, the “Misses Renascença”, who until then did not appear in this scenario, which was exclusively white, initiating a counter-speech of resistance by black woman. This action impact is revealed in the features’ discourses that, in the Misses competitions accounts, expose the presence of an ideology marked by a past of slavery. We aim to show the “mulata” representations derived from Clube Renascença’s effort to integrate the black people in Brazilian society and the challenges found in the “mulata” representation impregnated with a slavery and racist past in the sixties.