bluuebunny/crossref_metadata_2025 huggingface dataset:
Peningkatan Perencanaan Karier Melalui Layanan Informasi Konsep Ikigai Pada Siswa Kelas XI di SMAIT Nurul Ilmi Kota Jambi
Authors: Rizqullah Dhilal , Rasimin Rasimin , Sarman Freddi
Published: August 2024

Improving Career Planning Through Ikigai Concept Information Services for XI Students Class at SMAIT Nurul Ilmi Jambi City. Students have their own challenges during the process of determining their choice of major for further education. The core problem felt by students is that students do not know themselves, their potential, as well as their interests and talents. This condition become worse by the lack of guidance received, students are less likely to search for information about new and existing majors, do not carry out career planning, and not aware of the latest developments related to job prospects. If this problem is not addressed, it can have a negative impact on a student in the future, this is because career planning before making a career choice is very important and crucial. Ikigai is a life concept that leads individuals to formulate their life goals by discovering the four concepts that form ikigai consisting of passion, mission, profession and vocation. This research is a quasi-experimental quantitative research using a pre-test and post-test with non-equivalent control group design. The subjects in this study were 56 student from XI class. Therefore, the career choices taken should be in accordance with one's own desires and based on careful career planning. This research aims to determine the level of students' career planning before and after being given treatment in the form of ikigai concept information.
Strategi Konseling Kelompok Realitas untuk Mengembangkan Kemampuan Pengambilan Keputusan Karier Pada Siswa Kelas XI SMK Plus Pelita Nusantara
Authors: Butar-Butar Dika Sonya , Nugroho Andreas Rian , Gunawan Ronny
Published: August 2024

This study aims to improve the career decision-making skills of students of SMK Plus Pelita Nusantara. The research method used is Quasi Experimental with the application of Nonequivalent Control Group Design which provides data collection before and after the implementation of group counseling. The population of this study were all grade XI students of SMK Plus Pelita Nusantara which amounted to 352 students. The sampling technique in this study used purposive sampling method. The number of samples in this study were 10 students who were selected based on the criteria determined by the researcher. The data that has been collected is analyzed using the t table test to test for significant differences between the pre-test and post-test scores with a significance value (2-tailed) p=0.000 which means the p value is smaller than 0.05 (<0.05). These results indicate that there is an increase in the average career decision making from the average experimental class pretest score of 69 and a posttest score of 77.4. The score in the control class with an average pretest score of 69.9 and a posttest score of 72.9. With these results, it can be concluded that reality group counseling is effective in developing students' career decision-making skills at SMK Plus Pelita Nusantara.    
 
KEYWORDS: Reality Group Counseling Strategies, Career Decision Making, Vocational School Students
Peningkatan Kemampuan Kognitif pada Anak Disleksia Melalui Treatment Kemampuan Mengeja, Membaca, dan Menulis
Authors: Martha Salsabila Auralia , Raharjo Trubus
Published: August 2024

Generally, elementary school age children experience a significant increase in cognitive development. Obstacles in cognitive development, one of which is an obstacle to the brain, which is related to the central nervous system can affect children's learning ability. Learning disorders experienced by children can be called dyslexia. The purpose of this study is to determine the effectiveness of spelling, reading, and writing skills treatment to improve cognitive abilities in dyslexic children. This study uses an experimental research method with a pre-experimental design. The sampling technique used in this study is the purposive sampling technique. The subjects of this study were 10 elementary school children who had been diagnosed with dyslexia by psychologists and were undergoing therapy at the Kudus Dyslexia School. The researcher used the Wilcoxon Signed Rank Test as an application in analyzing the data. Based on the results of the study, it was found: 1) a decrease in the score of the number of errors before and after the treatment. 2) There is an improvement in cognitive ability in dyslexic children after being given treatment for spelling, reading, and writing skills.
Behavioral Approach Through Assertive Training in Improving Interpersonal Communication Skills of Students: A Systematic Literature Review
Authors: Nuha Moch. Syihabudin , Hidayah Nur , Wahyuni Fitri
Published: August 2024

First-year students encounter new and latest things that they might not have gotten before entering college. One of the main concerns is interpersonal communication skills, which are either mandatory or simply necessary for them to know in order to communicate in the campus environment. Interpersonal skills have many benefits, including making them more confident, able to speak in public, accepting of themselves, and able to build healthy relationships with others. Various types of bullying that occur in the environments of students and college students are influenced by many factors, including low self-acceptance. This can make them less accepting of themselves, unable to accept rejection or criticism, and even closed off to others. Therefore, the researcher wanted to find literature sources related to how to improve interpersonal communication skills through assertive training in 2023. The method used was systematic literature review (SLR). The results show that assertive training for students can improve interpersonal communication skills.
Pengaruh Layanan Bimbingan Klasikal Terhadap Kemandirian Belajar Peserta Didik Kelas X SMAN 6 Semarang
Authors: Rahman Arif Khalilu , Setianingsih Eka Sari , Ismanto Heri Saptadi , Respati Ardiatma Rio
Published: August 2024

This research seeks to explore the impact of classical guidance services on the learning independence of tenth-grade students at SMAN 6 Semarang. Using a quantitative experimental method, this research examines whether there is a significant impact of classical guidance services on students' learning independence. The study involved a sample of 43 students selected through simple random sampling. Data was collected using a Likert-scale questionnaire assessing learning independence. The experimental design included a one-group pretest-posttest approach. Results showed that prior to the classical guidance intervention, 79.1% of students exhibited low learning independence. Post-intervention, there was a notable improvement, with 20.9% of students reaching a moderate level. The paired sample t-test indicated a significant difference in learning independence before and after the intervention (sig = 0.000 < 0.05). Results of the paired sample t-test analysis revealed a significant positive impact of classical guidance services on learning independence. Additionally, the calculation of a normalized gain score of 0.72 indicates that classical guidance services are effective in enhancing students' learning independence. This study supports previous research indicating that classical guidance services effectively increase students' motivation, concentration, and self-confidence. In conclusion, classical guidance services contribute significantly to developing students' potential and achieving developmental tasks, particularly in fostering independent learning within the school environment.
Efektivitas Konseling Kelompok Teknik Modeling Terhadap Peningkatan Efikasi Diri Pada Siswa MTs Negeri 9 Sleman
Authors: Puri Lintang Waskita , Martono Martono
Published: August 2024

The objectives to be achieved in this study are to determine the effectiveness of counseling modeling techniques on improving self-efficacy in students of MTs Negeri 9 Sleman. The type of research in this study is experimental research. The research design used in this study is quasi experiment. The form of design used is Non-equivalent Control Group Design. The study population was VIII grade students of MTs Negeri 9 Sleman consisting of 4 classes, totaling 125 students. The sampling technique in this study used purposive sampling. The criteria for determining the sample in this study were eighth grade students of MTs Negeri 9 Sleman, which indicated a low learning discipline problem. The data collection method uses a self-efficacy scale that has gone through an expert validation process. Data analysis using non-parametric statistics with Man Withney (U) and Wilcoxon tests. The results showed that the counseling of the modeling technique by combining live models and symbolic models proved effective for self-efficacy (sign = 0.027 <0.05). These results can be concluded that group counseling through effective modeling techniques on improving self-efficacy in students of MTs Negeri 9 Sleman
Pengaruh Self Control Terhadap Kecanduan Media Sosial pada Remaja Kota Padang
Authors: Pratiwi Chici , Jannah Adinda Miftahul , Dewita Erna , Sari Mezia Kemala , Maiseptian Fadil
Published: August 2024

This research is motivated by the large number of adolescents or teenagers who spend their time playing on social media, so adolescents experience addiction, which causes individuals to forget their responsibilities. This research discusses how adolescent self-control and social media addiction are described, and their effects. This research aims to determine the description of self-control and social media addiction in adolescents, apart from that, to determine the influence of self-control on social media addiction among adolescents in Padang City. The research method used in this research is quantitative correlational. The subjects in this research were 52 teenagers in Padang City who had a high intensity in using social media. The data collection techniques used are research instruments, validity tests, and reliability tests. Next, the analysis prerequisite tests are the normality test and the linearity test. The data analysis technique used is a simple linear regression test. From the analysis results obtained, it is known that the average self-control possessed by Kampung Baru Lubuk Lintah teenagers is in the medium category, as well as social media addiction which is in the medium category. So it can be seen the influence of self-control on social media addiction. The higher an individual's level of self-control, the lower the level of social media addiction can be avoided. Conversely, if the level of self-control is low then social media addiction will increase.
How Ensembling AI and Public Managers Improves Decision-Making
Authors: Keppeler Florian , Borchert Jana , Pedersen Mogens Jin , Nielsen Vibeke Lehmann
Published: August 2024

Artificial Intelligence (AI) applications are transforming public sector decision-making. However, most research conceptualizes AI as a form of specialized algorithmic decision support tool. In contrast, this study introduces the concept of human-AI ensembles, where humans and AI tackle the same tasks together, rather than specializing in certain parts. We argue that this is particularly relevant for many public sector decisions, where neither human nor AI-based decision-making has a clear advantage over the other in terms of legitimacy, efficacy, or legality. We illustrate this design theory within access to public employment, focusing on two key areas: (a) the potential of ensembling human and AI to reduce biases and (b) the inclinations of public managers to use AI advice. Study 1 presents evidence from the assessment of real-life job candidates (n = 2,000) at the intersection of gender and ethnicity by public managers compared to AI. The results indicate that ensembled decision-making may alleviate ethnic biases. Study 2 examines how receptive public managers are to AI advice. Results from a pre-registered survey experiment involving managers (n = 538 with 4 observations each) show that decision-makers, when reminded of the unlawfulness of hiring discrimination, prioritize AI advice over human advice.
An Explanation to why the Light velocity is the maximum attainable velocity value
Authors: Segal Moshe
Published: August 2024

Light velocity, when measured by Humans, would always result in a constant value and the maximum possible velocity that humans can measure, a claim that was presented by Einstein’s Special Relativity Theory as an axiom, without any proof.The above demonstrates the uniqueness of the velocity of Light.But it should be also emphasized that the velocity of Light also presents a severe peculiarity, which is presented as follows:When a moving Human spectator measures the velocity value of any tangible substance, for example, the velocity of a moving Massive Body, the velocity, and the direction of motion of this spectator, relative to the velocity and the direction of motion of this Massive Body, does affect the measured velocity value of this Massive Body, by this Human spectator. But, when a moving Human spectator, measures the velocity value of a Light beam, the velocity, and the direction of motion of this spectator, relative to the direction of motion of this Light beam, does not affect at all, the measured velocity value of this Light beam, by this Human spectator, which always results in a constant Light velocity value, which is also the maximum velocity value that Humans can measure.This should be regarded as a severe peculiarity, in any velocity value measurements of Light beams, by Humans, which must be also explained. Because it seems reasonable that the velocity of a Light beam measured by Humans, when the Light beam and the Human travel at opposite directions, should be bigger as compared to the velocity of a Light beam measured by Humans, when the Light beam and the Human travel on the same directions.This paper presents a prediction that Space and Time, as Humans perceive these notions, do not really exist, and Velocities (and Movements and Changes in general) are only the result of Interactions between Energies.The author of this paper presented this prediction in an additional paper titled: “A discussion related to the existence of the entities of Space and Time” (12) which is referenced in this paper.The details related to this prediction are also presented in this paper.In view of the above-mentioned prediction, that Velocities (and Movements and Changes in general) are only the result of Interactions between Energies, this paper proposes a tentative explanation, to the uniqueness and the severe peculiarity mentioned above, relating to measurements of the velocity of Light by Humans.The referenced paper mentioned above, (12) also suggests an experiment, which if implemented, and its result will be successful, might provide validity, or disprove, the predictions presented in that referenced paper, and, as a result, also might provide validity, or disprove, what is presented in this paper.That experiment is also presented in this paper.
Still No Evidence for an Effect of the Proportion of Non-Native Speakers on Natural Language Complexity
Authors: Koplenig Alexander
Published: August 2024

In a recent study published in this journal (https://doi.org/10.1098/rsos.181274), I demonstrated that large numbers of L2 (second language) speakers do not appear to affect the morphological or information-theoretic complexity of a language. This update paper has three primary aims: First, I rebut the critique recently raised by Kauhanen, Einhaus, and Walkden (https://doi.org/10.1093/jole/lzad005). While I acknowledge the value of post-publication commentary on published research, I show that the points of criticism they raise were already explicitly addressed and analysed in my original paper. Furthermore, I demonstrate that the alternative analyses they propose do not hold up under closer scrutiny. Second, I introduce new data on the information-theoretic complexity of languages, with estimates derived from various language models—ranging from simple statistical models to advanced neural networks—based on a database of 40 multilingual text collections comprising a wide variety of text types. Third, I re-analyse the information-theoretic and morphological complexity data using novel methods that better account for model uncertainty in parameter estimation, as well as the genealogical relatedness and geographic proximity of languages. Consistent with my earlier findings, the results do not provide evidence for an effect of the presence of large numbers of L2 speakers on complexity across languages.
Applications of Large Language Models in Clinical Practice: Path, Challenges, and Future Perspectives
Authors: Liu Jialin , ChangyuWang  , Liu Siru
Published: August 2024

Large language models (LLMs) represent a transformative advance in artificial intelligence, capable of understanding, generating and interpreting complex human language. Despite their generic design, these models have shown great potential in clinical applications, including medical diagnosis, clinical decision support, patient communication, and administrative tasks. However, deploying LLMs in clinical practice faces significant challenges, such as misinterpretation of human instructions, biased content generation, and the complexity of handling sensitive medical data. In this paper, we explore avenues for implementing LLMs in clinical settings, focusing on ethical considerations, bias mitigation, multimodal integration, simulation testing, clinical validation, and workflow integration. By addressing these challenges, we aim to improve the effectiveness, safety, and ethical standards of LLMs in healthcare, ensuring that they maximise benefits for both professionals and patients. The future outlook highlights the need for increased human-AI collaboration, improved model robustness, and adherence to ethical and regulatory standards. The ultimate goal is to provide comprehensive guidance on the effective use of LLM in clinical practice and to contribute to the development of reliable and ethical AI solutions in healthcare.
A new theoretical framework for agricultural risks reduction actions efficiency and impact
Authors: Badolo Mathieu
Published: August 2024

In Sub-Saharan Africa, agricultural policies increasingly integrate agricultural risks reduction. Such actions, whose overall objective is to build an agriculture on which agricultural risks only have residual impacts, will require methodological tools, knowledge bodies and decision support tools that significantly improve agricultural risk reduction strategies relevance, efficiency and impact. They should significantly mitigate agricultural risks direct and indirect impacts which include agricultural production, income, financing and access to infrastructure fluctuations and intensification of agricultural development structural challenges.This article proposes the Badolo AgriRiskProspect theoretical framework for agricultural risks reduction actions. It is a multirisk and multidimensional theoretical tool for developing knowledge bodies and decision support tools for the formulation of integrated and efficient agricultural risks reduction plans. Such plans consider the main agricultural risks and agriculture production, income, financing, infrastructure and governance dimensions. They implement a results-based approach to agricultural risk reduction to build agricultural risk-protected configurations. Specifically, the Badolo AgriRiskProspect theoretical framework is founded by the concepts of indirect impacts, residual impacts and vulnerability, resilience trajectories segments, information classes for resilience and resilience configurations
Heat pain threshold and tolerance do not depend on thermode type or stimulus duration
Authors: Parsons Julie , Delity Maya Joshi , Brookes Jama , Akintola Titilola , Dildine Troy , Owens Hayley , Barhoum Sabrina , Yanes Julio Alejandro , Atlas Lauren Yvette
Published: August 2024

Introduction: Quantitative Sensory Testing (QST) allows researchers and clinicians to evaluate variations in acute pain and thermosensation within and across individuals. With a variety of QST approaches available, it is important to evaluate whether the modality used for pain induction affects conclusions drawn from QST. We compared two types of thermodes (an Advanced Thermal Stimulator (ATS) and a Contact Heat-Evoked Potential Stimulator (CHEPS)) at two stimulus durations (8s and 3s, respectively) to assess potential differences in QST outcomes.Methods: Healthy volunteers (n = 45) underwent two adaptive staircase calibrations during the same visit, with order of thermode counterbalanced across participants. Heat was applied to 8 sites on the left volar forearm, with 24 trials per thermode.Results: There were no differences between thermodes for pain threshold, tolerance, and or correlations between temperature and pain ratings after removing outlier trials (R2, all p’s > 0.05). When outlier trials were included, we did observe a significant difference in temperature- pain correlations (p = .019), driven by higher R2 values with 8s ATS stimuli relative to 3s CHEPS stimuli. We also observed interactions with sex for both R2 measures (p’s < 0.05), such that there was no impact of thermode on temperature-pain correlations in female participants while males had lower correlations with CHEPS compared to ATS.Conclusions: These findings indicate that pain threshold and tolerance are comparable regardless of thermode size or stimulus duration, whereas the strength of the association between temperature and pain may be reduced with brief stimuli administered via CHEPS, particularly in male participants.
Aligning the Astronomical Observations within the Maria Valtorta writings with the Medjugorje birth date of the Virgin Mary
Authors: Mac Namara Damien
Published: August 2024

In this short paper we analyse the writings of Maria Valtortathat relate to the Birth of the Virgin Mary and extract descriptionsrelating to the astronomical and environmental features which the authorallegedly witnesses. Using planetary software we attempt to align theseobservations with August 5th 16BC; the date given for the Birth of theVirgin Mary by the alleged Medjugorje visionaries. Using data from theValtorta vision relating to both the unusual weather conditions and theposition of a rainbow over Mount Hermon; we unexpectedly found thatthe bearing and elevation of the Moon as observed from Nazareth onthe Medjugorje date could indeed create the conditions suitable for anobservable Lunar Rainbow rising from the peak of Mount Hermon. Wefound at no time in August of 16BC could the Sun have been responsiblefor the Valtorta rainbow.
Massive black holes
Authors: Lavi Eran Magshim
Published: August 2024

The study of supermassive black holes has significantly advanced our understanding of galaxy structures, yet fundamental questions remain, particularly concerning the structure and dynamics of massive black holes. This article addresses the core structure of massive black holes, defined as those originating from supernova events. Integrating the concept of "Dachus density," a state of maximum matter density, I propose that the core of all massive black holes exists at this density. The research investigates the size of these cores and their event horizons, using Cygnus X-1 and Sagittarius A* as examples. Calculations reveal that the core size is exceedingly small compared to the overall black hole, with the core's volume being up to ~155 orders of magnitude smaller than the event horizon volume in the case of Sagittarius A*. The article briefly explores the implications of a rotating Dachus core on the black hole's structure, including the "mantle" region between the core and the event horizon. The discussion extends to absolute zero temperature, asserting that for a non-spinning, static Massive black hole, the temperature of its core reaches 0[K] as in this state, particles do not move in relation to each other and do not have any kinetic and in particular rotational Energy.
Advancements in Machine Learning and Artificial Intelligence for Enhancing CNC Machine Tool Operations: A Comprehensive Review
Authors: almajali ali
Published: August 2024

The integration of Machine Learning (ML) and Artificial Intelligence (AI) into Computer Numerical Control (CNC) machine tools marks a significant evolution in manufacturing technology. This review explores the various applications, benefits, and challenges associated with implementing ML and AI in CNC machining. The article discusses how these technologies enhance precision, efficiency, and customization in manufacturing processes. It also highlights the future potential of ML and AI in CNC systems and addresses the barriers to their widespread adoption.
Web-based Visualization and Analytics of Petascale data: Equity as a Tide that Lifts All Boats
Authors: Panta Aashish , Huang Xuan , McCurdy Nina , Ellsworth David , Gooch Amy A. , Scorzelli Giorgio , Torres Hector , KLEIN Patrice , Ovando-Montejo Gustavo , PAscucci Valerio
Published: August 2024

Scientists generate petabytes of data daily to help uncover environmental trends or behaviors that are hard to predict. For example, understanding climate simulations based on the long-term average of temperature, precipitation, and other environmental variables is essential to predicting and establishing root causes of future undesirable scenarios and assessing possible mitigation strategies.While supercomputer centers provide a powerful infrastructure for generating petabytes of simulation output, accessing and analyzing these datasets interactively remains challenging on multiple fronts. This paper presents an approach to managing, visualizing, and analyzing petabytes of data within a browser on equipment ranging from the top NASA supercomputer to commodity hardware like a laptop. Our novel data fabric abstraction layer allows user-friendly querying of scientific information while hiding the complexities of dealing with file systems or cloud services. We also optimize network utilization while streaming from petascale repositories through state-of-the-art progressive compression algorithms. Based on this abstraction, we provide customizable dashboards that can be accessed from any device with any internet connection, enabling interactive visual analysis of vast amounts of data to a wide range of users - from top scientists with access to leadership-class computing environments to undergraduate students of disadvantaged backgrounds from minority-serving institutions. We focus on NASA's use of petascale climate datasets as an example of particular societal impact and, therefore, a case where achieving equity in science participation is critical. We validate our approach by improving the ability of climate scientists to visually explore their data via two fully interactive dashboards. We further validate our approach by deploying the dashboards and simplified training materials in the classroom at a minority-serving institution. These dashboards, released in simplified form to the general public, contribute significantly to a broader push to democratize the access and use of climate data.
The importance of epistasis in the evolution of viral pathogens
Authors: Manivannan Swathi Nachiar , Arenas Carolina Diaz , Grubaugh Nathan D. , Ogbunugafor C. Brandon
Published: August 2024

Understanding the genetic and genomic underpinnings of infectious disease outbreaks has emerged as a frontier of epidemiology. This systematic review argues that epistasis—where the phenotypic effects of mutations or gene variants are dictated by the presence of other mutations or genes—should become a central feature of genomic epidemiology. To demonstrate this, we present the results of a review of existing literature on the role of epistasis in viruses, focusing on three major human viral systems: (i) influenza, (ii) SARS-CoV-2, (iii) human immunodeficiency virus (HIV). In order to explore the generality of these patterns, we also examine two other bodies of literature, mainly focusing on non-human viruses: (iv) experimental evolution of viruses and (v) tobacco etch virus (TEV). Our systematic review of these five bodies of literature highlights that positive magnitude and sign (change in the direction of fitness effect of mutations) epistasis have been reported most often. Nevertheless, there was variation in the frequency of the type of epistatic interactions reported in all five systems. Our systematic review also highlights factors such as the over/under-representation of viral strains/types, host species, and genes studied. Biases in the methods used in these systems could have shaped the nature of epistatic interactions reported in each system. Moving forward, we suggest collaborations between genomic epidemiology and evolutionary biology to implement the identification and measurement of epistasis in studying the evolution of viral pathogens.
Alternative Media: Free from State, Market, and Capital(ism)? On the Antagonisms of Alternative Media and the Alternative Economy
Authors: Knoche Manfred
Published: August 2024

This work discusses the potentials, limits, and problems of alternative media in capitalism. It compares alternative media to commercial media and public service media. A model is introduced that compares commercial and non-commercial media projects. Its dimensions are the economy, work, production, and communication.
Dilemmas of alternative media are analysed. As an example, a conflict at the Austrian free radio station Radio Orange is analysed. The paper discusses the political economy of alternative media. Alternative media such as free radio stations have set out to do media in a way that is different to capitalist media. In this context, the role of the audience as media producers and the rejection of the market, capital, and commodities are important aspects of alternative media.
The analysis shows the problems and antagonisms that non-commercial, alternative media face in capitalist society. They struggle to establish independence from markets, capital, and the state. They face the problem of how to deal with these antagonisms which results in the alternative between adopting to capitalist pressures or operating as small-scale niche alternatives with small audiences and precarious labour. The paper concludes that material aspects and the political economy of alternative media need to be taken seriously. Not selling commodities and not paying wages puts many alternative media at a disadvantage vis-à-vis commercial media.
Development and Evaluation of a Surgical Simulator and Assessment Rubric for Standing Castration of the Horse
Authors: Braid Helen R.
Published: August 2024

In veterinary education, simulators are models or devices that can imitate a real patient or scenario and allow students to practice skills without the need for live patients. Castration is a common surgical procedure in all species, and the standing, open technique is frequently performed in horses. Although a simulator has been developed for equine closed castration, a simulator for standing castration in the horse has not yet been described. This two-part study focused on the design, creation, and evaluation of a simulator for teaching standing castration in the horse. A low-technology simulator was created using molded silicone testicles, cohesive bandage, stockings, and socks. A rubric was created for assessing performance using the simulator. Participants were recruited from three groups: university academic staff members ( n = 12, majority equine veterinarians), equine veterinarians working in private practice ( n = 9), and final-year veterinary students ( n = 28). Each group tested the simulator while being graded using the developed rubric, and participants completed an anonymous online feedback questionnaire. Feedback was positive overall, with 98% of respondents ( n = 48/49) stating that the model would be a useful addition to the veterinary curriculum. Furthermore, 100% of students reported that using the simulator increased their confidence in performing standing castration in horses. Evaluation of the model included assessment of responses from veterinarians and students regarding realism and usefulness of the simulator, comparison of rubric scores between veterinarians and students, and assessment of the reliability of the rubric. Median student rubric score was significantly lower than qualified veterinarians ( p < .001), and Cronbach's alpha demonstrated that there was adequate internal reliability in rubric scoring (α = .85). It was determined that the simulator is effective for teaching the steps of the surgical procedure and for increasing student confidence.
Attitudes, Experience, and Self-Confidence of Veterinary and Veterinary Nursing Students in Small Animal Dentistry: A Survey Study
Authors: Abildgaard Mikkel , Kron Maja , Carlund Tilda , Enlund Karolina Brunius
Published: August 2024

Dental issues are extremely common in dogs and cats, underscoring the importance of veterinary professionals’ knowledge in dentistry. Nevertheless, dental problems are currently often underdiagnosed and, consequently, undertreated.

This study investigated the attitudes, experiences, and self-confidence of veterinary (V) and veterinary nursing (VN) students in their final two years of study in small animal dentistry. An online questionnaire was distributed, and responses were received from 61% of V students ( n = 94) and 41% of VN students ( n = 72).

The majority of both V students (61%) and VN students (69%) expressed a desire for more education in small animal dentistry. Furthermore, a minority of V students (20%) and VN students (22%) felt adequately prepared for their first day in practice after graduation. Less than half of the students (V 44% and VN 38%) had participated in a practical dental procedure outside training sessions.

Self-confidence in small animal dentistry procedures was rated on a 0–10 scale. V students exhibited the highest confidence in teeth polishing (6.1) and removing tartar with ultrasonic scalers (6.0), while VN students were most confident in recognizing common oral/dental problems (6.0) and discussing dental issues with pet owners (5.3). Extra practical training significantly increased confidence in several dental procedures ( p < .005).

Despite positive attitudes, a notable proportion of V and VN students feel unprepared for their first day in practice, potentially stemming from insufficient training. Addressing these gaps through clear guidelines for Day One Competence and enhanced practical training is crucial, ultimately benefiting the well-being of small animals.
The Veterinary Student Survey on Patient Safety Culture (VSSPSC): A Quantitative and Qualitative Exploration of American Veterinary Students’ Perceptions of Patient Safety Culture
Authors: Love Lydia , Patten Trevor , Hofmeister Erik H. , Schoenfeld-Tacher Regina M. , McLaughlin Anne C.
Published: August 2024

Patient safety culture (PSC) is a multidimensional construct that reflects the way healthcare organizations promote safe patient care. Veterinary students are explicitly and implicitly indoctrinated into organizational cultures and will carry these attitudes and behaviors into their future work. In this study, we evaluated the psychometric properties of a PSC survey among veterinary students in the United States and investigated their attitudes toward PSC. Exploratory factor analysis identified factors that explained portions of the variance in responses. Importantly, the measures derived from those factors predicted the likelihood of a student mentioning a negative experience/opinion regarding error reporting. Most students reported receiving explicit training in communication, but coursework in other areas, such as human factors and safety culture, was uncommon. Veterinary students generally reported high levels of agreement with the tenets of patient safety science, though some items demonstrated wide variation in responses, underscoring the need for more uniform incorporation of education in veterinary PSC.
Biportal endoscopic en bloc removal of the ligamentum flavum for spinal stenosis: nuances for the “butterfly” technique
Authors: Park Cheol Wung , Oh Jacob Yoong-Leong
Published: August 2024

The introduction of endoscopic spine surgery has led to a paradigm shift in the treatment of spinal disorders. In particular, biportal endoscopic surgery has gained traction for its wider visual field and improved the maneuverability of instruments, familiar anatomy, and costeffectiveness. In this study, we describe our en bloc removal of the ligamentum flavum using a “butterfly” technique. This approach had several advantages: (1) The flavum serves as a protective barrier for the dura during drilling. (2) There is less epidural bleeding, which provides (3) better visualization. (4) In an inadvertent durotomy, this usually occurs later in the procedure, which is more manageable than the early stages of decompression. Biportal decompression for spinal stenosis can be performed using an en bloc ligamentum flavum removal technique that is safe, reproducible, and efficient. A systematic approach will help early adopters overcome the steep learning curve.
Estrategias de ciberseguridad para MiPymes del sector terciario
Authors: Gordillo Alexander
Published: August 2024

Introducción: Importancia de un Sistema de Vigilancia Tecnológica en ciberseguridad para MiPymes de Fusagasugá, dada la creciente transformación digital. Metodología: Evaluación del conocimiento en ciberseguridad y determinación de áreas vulnerables en hogares geriátricos, gastrobares y hoteles. Resultados: Identificación de riesgos y establecimiento de normas para anticipar y fortalecer la protección de información digital. Discusión: Análisis de vulnerabilidades específicas en MiPymes y la necesidad de priorizar medidas de protección. Conclusiones: Implementar normas y medidas específicas en ciberseguridad para proteger datos en MiPymes del sector terciario.
Mejores prácticas para el desarrollo de software verde (sostenible) utilizando inteligencia artificial
Authors: Botero Rios Ricardo Antonio
Published: August 2024

Introducción: Hoy en día convergen diferentes áreas como la ingeniería de software (IS), medio ambiente y la Inteligencia Artificial (IA). La IS con IA se basa en la transformación del desarrollo de software, iniciando el proceso por el código e incluyendo la implementación. Metodología: la empleada es de tipo descriptivo. Se extrajo información desde bases de datos científicas. Tras identificar el problema y definir el ámbito de trabajo, se seleccionaron dos herramientas de IA para el desarrollo de software, luego se analizó el rendimiento de los programas, evaluando la eficiencia energética. Resultados: De acuerdo a los estudios realizados, el lenguaje Java es el más verde en comparación con Python. Discusión: Los programas informáticos modernos tienen muchos retos, uno de ellos, tienen millones de líneas de código (LDC), este aspecto puede conducir a dificultades de consumo de recursos y de rendimiento, que se ve reflejado en la eficacia y que afecta la experiencia del usuario. Conclusiones: Se pudo concluir que crear sistemas sostenibles y éticos, es primordial proyectar un futuro responsable, donde los desarrolladores tengan el poder y la responsabilidad de generar aplicaciones adecuadas y respetuosas con el medio ambiente.
La inteligencia artificial y otras tecnologías como aliadas en el disfrute del arte y los museos
Authors: Irala Pilar
Published: August 2024

Introducción: El patrimonio cultural, definido como el conjunto de bienes materiales e inmateriales que constituyen el legado de una comunidad, es invaluable para la sociedad. Este legado incluye tanto bienes tangibles como intangibles y forma la base de la identidad cultural y el desarrollo social y económico. La inteligencia artificial (IA) y otras tecnologías emergen como herramientas poderosas para la gestión del patrimonio cultural, ofreciendo amplias posibilidades para su preservación, promoción, difusión y accesibilidad. Metodología: Esta investigación se basa en la revisión y análisis crítico de literatura científica y gris sobre el uso de la IA en museos y proyectos museológicos. A pesar de que aún hay pocas contribuciones científicas en este ámbito, se exploraron diversas aplicaciones y proyectos que incorporan nuevas tecnologías e IA en la gestión del patrimonio cultural. Resultados: La revisión literaria reveló varias oportunidades prometedoras para la IA en el patrimonio cultural. Un uso clave es la capacidad de la IA para analizar grandes cantidades de datos, lo que puede descubrir patrones y relaciones no evidentes a simple vista. Otro uso significativo es la identificación y clasificación de objetos, donde los algoritmos de aprendizaje automático pueden ser entrenados para reconocer distintos tipos de objetos con características específicas. Además, la IA puede combinarse con otras tecnologías para innovar en la experiencia museística, proporcionando experiencias interactivas y personalizadas para los visitantes. Discusión: Aunque la implementación de la IA en la gestión del patrimonio cultural está en sus primeras etapas, su potencial es considerable. La capacidad de la IA para manejar grandes volúmenes de datos y realizar tareas de identificación y clasificación puede transformar significativamente la gestión y exhibición del patrimonio cultural. La combinación de IA con otras tecnologías ofrece nuevas formas de interacción y disfrute del patrimonio por parte de los ciudadanos. Conclusiones: La IA tiene un gran potencial en la gestión y disfrute del patrimonio cultural. Aunque las contribuciones actuales son limitadas, las oportunidades para su uso en la gestión, promoción y exhibición del arte y patrimonio cultural son prometedoras. Es crucial continuar investigando y desarrollando aplicaciones de IA para maximizar sus beneficios y contribuir al desarrollo y preservación del patrimonio cultural.
Análisis de estrategias innovadoras para retención estudiantil con inteligencia artificial: una perspectiva multidisciplinaria
Authors: Alamo Ester Martín-Caro
Published: August 2024

Introducción: La educación superior está transformándose con la adopción de modalidades virtuales e integración de tecnologías como la inteligencia artificial (IA), machine learning (ML), redes neuronales (NN) y big data (BD). Estas tecnologías están redefiniendo el acceso y la retención estudiantil, ofreciendo soluciones personalizadas para mejorar la experiencia educativa en entornos virtuales. Metodología: Esta revisión sistemática, basada en el método PRISMA, examina cómo la interacción de IA, ML, NN y BD influye en la predicción y gestión de la deserción estudiantil, destacando las aplicaciones de learning analytics (LA) para mejorar las intervenciones educativas. Resultados: Los resultados muestran que IA, ML y BD son efectivas para prever y gestionar el abandono escolar, permitiendo intervenciones más personalizadas. El análisis de grandes volúmenes de datos ayuda a identificar patrones cruciales para diseñar estrategias de retención. Discusión: A pesar de las mejoras significativas en la personalización del aprendizaje y optimización de recursos que ofrecen estas tecnologías, enfrentan desafíos éticos y operativos que deben considerarse. Conclusiones: La integración de IA, ML, NN y BD en la educación superior es un enfoque prometedor para enriquecer la experiencia y resultados estudiantiles, destacándose la importancia de inversiones estratégicas y un marco ético robusto para su implementación efectiva.
Trabajo convencional versus teletrabajo: estudio de caso en una universidad pública de Argentina
Authors: Maresca Gabriel Gustavo
Published: August 2024

Introducción: la Universidad Nacional General Sarmiento de Argentina asume el desafío de avanzar en un proyecto de modernización para todas las actividades administrativas y de gestión académica a través de un esquema de 100% de teletrabajo. Metodología: a partir del antecedente de una prueba piloto de teletrabajo parcial, se realiza una evaluación para la implementación total de la modalidad, utilizando como instrumento de diagnóstico el diseño de un índice de eficiencia de teletrabajo.  Resultados: los resultados que se obtienen del índice de eficiencia de teletrabajo facilitarán el diseño de un programa por etapas de implementación de teletrabajo para la totalidad del personal no docente de la Casa de Altos Estudios. Discusión: el desafío de implementar en un 100% el teletrabajo para el personal no docente fue percibido con bastante entusiasmo en términos generales, aunque cierta parte del personal muestra algo de resistencia ante un posible cambio en la forma habitual de trabajo. Conclusiones: los resultados obtenidos del trabajo de campo permiten adoptar una conciencia colectiva dispuesta a avanzar en un proyecto de modernización que incluye a más de 400 personas involucradas en esa transición de esquema de trabajo.
Comparative analysis of the excitatory and inhibitory hippocampal neurons activity during associative context memory retrieval
Authors: Toropova K. A. , Ivashkina O. I. , Vorobyeva N. S. , Anokhin K. V.
Published: August 2024

In the present study, we analyzed the differential involvement of hippocampal interneurons and pyramidal neurons in the retrieval of associative aversive context memory. For this purpose, we used a model of associative learning in which the formation of a neutral context memory and the subsequent association of this memory with the footshock US during a brief reminder of the context were significantly separated in time. The activation of hippocampal neurons during associative context memory retrieval in this task was addressed by immunohistochemical detection of the immediate early gene c-fos protein. Retrieval of associative context memory was accompanied by an increase in the number of c-Fos-positive cells in the CA1 region, but not in the CA3 region and the dentate gyrus of the hippocampus. Next, a protein marker, the product of the homeobox-containing gene Emx1, was used to specifically identify excitatory neurons, and the marker glutamate decarboxylase, GAD, the product of the GAD1 and GAD2 genes, was used to specifically identify inhibitory neurons. The results of double staining for cell markers and c-Fos protein showed that during retrieval of associative aversive context memory in the CA1 region of the hippocampus, both Emx1-positive excitatory neurons and, less, GAD-positive inhibitory interneurons were activated. At the same time, regardless of the type of behavioral procedure (retrieval of associative context memory, non-associative context memory, or exploration of context, where animals previously received the footshock but did not remember it), the proportion of activated excitatory and inhibitory neurons remained constant, only the number of activated cells of each type changed. Altogether, our results indicate the specific role of hippocampal CA1 neurons in associative context memory and demonstrate that both excitatory and inhibitory neurons are involved in the encoding of such memory.