bluuebunny/crossref_metadata_2025 huggingface dataset:
Drug Delivery and Monitoring through Wearable Devices with
Microneedles in the Field of the Health Care System
Authors: Kumarswamy K.C. , Madhu B.K. , Naveen N. Raghavendra , Goudanavar Prakash S. , Purushotham K.N.
Published: June 2024

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Microneedles represent a revolutionary advancement in drug delivery and diagnostics,
offering a minimally invasive approach to accessing the intricate biological environment of the
human body. These micron-sized needles, typically ranging from 25 to 1000 micrometers in
length, penetrate the outermost layer of the skin, creating microchannels that facilitate the transdermal
administration of therapeutics or the extraction of interstitial fluid for analysis. This innovative
technology holds great promise for enhancing patient compliance, reducing side effects, and
improving the overall efficiency of drug delivery. Integrating microneedles with wearable devices
further amplifies their potential impact. Wearable devices provide a seamless interface for monitoring
and controlling microneedle-based systems, fostering real-time data collection and personalized
healthcare. Such devices can be designed to administer precise drug doses at predetermined
intervals, adapting treatment regimens to individual patient needs.

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Additionally, the combination of microneedles and wearable devices enables continuous monitoring
of biomarkers through the extraction of interstitial fluid, offering a non-invasive method for
disease diagnosis and management. The review also provides a detailed overview of the mechanisms,
types, fabrication techniques, applications, and patents for integrating microneedles with
wearable devices. This symbiotic relationship between microneedles and wearables opens new
paths for patient-centric healthcare, with the potential to transform chronic disease management
and streamline therapeutic interventions. As these technologies continue to evolve, their integration
may pave the way for personalized, on-demand healthcare solutions, accompanying a new era
of patient well-being and treatment efficacy.
Elucidation of the Possible Molecular Mechanism for the Anti-Apoptotic Effect of Terpene-Rich Extract of Amomum subulatum and Coriandrum sativum against Rodent Model of Cardiotoxicity
Authors: Singh Mhaveer , Y.T. Kamal , Khan Mohammad A. , Verma Navneet , Mishra Arun K. , Ahmad Sayeed
Published: June 2024

Background:

Spices, including Amomum subulatum and Coriander sativum, are not only popular for improving food flavour but are also accepted worldwide for their health benefits in various disorders.

Objective:

This study aimed to elucidate the possible mechanism for the anti-apoptotic effect of terpene-rich extract of Amomum subulatum and Coriandrum sativum against the rodent model of cardiotoxicity.

Methods:

Effects of standardized terpenoids-rich aqueous methanolic extract of two commonly used spices, viz. Amomum subulatum Roxb. and Coriandrum sativum Linn., were investigated on doxorubicin-induced apoptotic changes and cardiotoxicity in Wistar rats with the aim of in-vestigating the mechanism. Prior to the in vivo experiment, the extracts were subjected to quan-titative estimation of possible bioactive markers of the terpenes by employing a newly devel-oped, optimized, and validated GC-MS method along with TLC profiling.

Results:

Cardiotoxicity was evident from elevated creatinine kinase (CK-MB), lactate dehydro-genase (LDH), and malondialdehyde (MDA) levels in the toxic control group after treatment with doxorubicin (2.5mg/kg i.p. given twice a week for three weeks). Caspase-3, Tumor necrosis factor-α (TNF-α), and Interleukin-6 (IL-6) were also induced in animals treated with doxorubi-cin. Treatment with Amomum subulatum and Coriandrum sativum at the doses of 100 and 200mg/kg exhibited significant (P<0.001) reversal of CK-MB, LDH, MDA, Caspase-3, TNF-α, and IL-6 levels. This protective effect was further supported by the results of DNA gel electro-phoresis and histopathological observations.

Conclusion:

This study supports the cardioprotective role of selected spices against doxorubicin-induced cardiotoxicity through the anti-apoptotic mechanism.
Digital Twins (Artificial Intelligence and Machine Learning) for Diagnosis of Alzheimer’s Disease: Ethical and Regulatory Aspects
Authors: Sanjaykumar Gupta Swati , Malviya Rishabha , Uniyal Prerna
Published: June 2024

Recent strides in artificial intelligence and machine learning have gained considerable
attention in the diagnosis of Alzheimer's disease due to its ability to detect the disease at an
early stage. Along with the advances in AI (Artificial Intelligence) and ML (Machine Learning)
for the detection of AD (Alzheimer’s Disease), ethical considerations and regulatory aspects
must also be meticulously addressed. This review covers the ethical questions that arise
with the use of AI and ML in AD diagnosis. Privacy and protection of individual’s personal
data, clinicians making their decisions based on AI, and unbiased and autonomy concerns like
consent of the patient are covered here. Given their transformational nature, it remains entirely
unclear how AI-driven methods for studying the human brain will impact normative instruments
in research ethics and neuro-ethics, as well as fulfill appropriate criteria of scientific validity.
Explainable AI and ML systems have been developed recently to avoid potential bias
and unethical conduct. This article also discusses the type of potential personal patient information
that could be exploited during the use of AI and ML-based algorithms.
The effect of face-to-face versus web-based structured peer review on writing improvement: Evidence from ESP students
Authors: Pourhosein Gilakjani Abbas , Sheikhy Behdani Reihaneh
Published: June 2024

Engaging students in peer review to improve their writing has become a pedagogical approach. However, little evidence has supported the effects of web-based (WB) peer evaluation on students’ writing enhancement. Correspondingly, the present study, employing a quasi-experimental design, investigated the effect of WB versus face-to-face (FTF) peer review on ESP students’ writing in terms of linguistic features. To this aim, three intact classes (N = 48, 53) were split into two experimental and one control groups at random. The results of pretests revealed that all the participants were homogenous with respect to language proficiency and writing ability based on Oxford Quick Placement Test (OQPT) and a writing test. While there was no peer review for the control group, the two experimental groups practiced peer review; one through FTF interaction and one via Peermark, a WB program provided through Turnitin. The findings indicated that the experimental group outperformed the control group. The findings also showed that FTF group outperformed WB group in writing. However, the analysis of linguistic features in the two modes of peer review demonstrated that WB interaction can be more effective in writing fluency than FTF peer review. Implementation of the findings for the teachers and teacher trainers has been discussed.
Teachers’ perspectives on implementing cooperative learning to promote social and emotional learning
Authors: Karmina Sari , Dyson Ben , Setyowati Lestari
Published: June 2024

Evidence has shown that social and emotional learning (SEL) improves students’ behavior, attitudes, peer relationships, and academic outcomes. However, teachers have challenges in promoting SEL due to insufficient professional development and pedagogical strategies. Cooperative learning, a pedagogy promoting student-centered learning, has been suggested to help teachers foster students’ SEL. However, little research has been conducted to investigate cooperative learning alignment with SEL. Thus, this current study aims to explore teachers’ perspectives on implementing cooperative learning to promote students’ SEL. Seven elementary school teachers implementing cooperative learning and SEL in their classrooms joined the study. A qualitative interpretative case study design was used. Teacher interviews as primary data, and field notes, teachers’ artifacts, lesson plans, and teaching videos were collected. Thematic analysis was used to analyze the data from the teacher interviews and field notes. Four themes were generated: group roles, exploring potentials and weaknesses, meaningful interactions, and consensus decision-making. The findings suggest that cooperative learning through clear group roles promotes elementary school students’ self-awareness and social awareness, meaningful interactions, and consensus decision-making.
Revisiting pedagogical skills: A comprehensive analysis of Mathematics teaching competencies among elementary educators
Authors: Salamah Salamah
Published: June 2024

This research aims to explore the intricate relationships between attitudes towards the teaching profession, teaching experience, self-concept, and teaching competencies among elementary school teachers. The study's sample comprises 40 first-grade teachers from elementary schools in Yogyakarta, selected through a multistage cluster random sampling technique. The findings of this research indicate several key correlations: (1) a positive correlation exists between attitudes towards the teaching profession and teaching competencies; (2) teaching experience positively correlates with teaching competencies; (3) self-concept also shows a positive correlation with teaching competencies. Moreover, the study reveals that attitudes towards the teaching profession, teaching experience, and self-concept collectively contribute to a significant positive correlation with teaching competencies. These results highlight the multifaceted nature of teaching proficiency and underscore the importance of fostering positive attitudes, accumulating teaching experience, and developing a strong self-concept to enhance educational outcomes in elementary education.
E-leadership capacity and readiness for change in tackling learning innovation disruption in implementing Merdeka Belajar policy
Authors: Rusdinal Rusdinal , Komariah Aan , Budi Wiyono Bambang , Meizatri Ranti , Rifma Rifma
Published: June 2024

This study aims to analyze the e-leadership capacity of school principals and change readiness in dealing with disruption of learning innovations to implement independent learning policies. This research was conducted using an ex post facto approach with a correlational study. Respondents were teachers (N=300) from 30 junior high schools in Padang City, Indonesia. The data were then analyzed using SEM Smart PLS. The analysis of the relationships between the variables was determined by referring to the original sample value and the T-statistic outputs from Smart PLS. The significant value of the path was determined using testing criteria with a significant value of (α) 5% and a T-statistic standard 1.96. The results show that the average attainment of the four variables is 79.78%, which is categorized as medium. The variable with the highest achievement is the readiness for change variable which reaches 80.89%. On the other hand, the lowest-achieving variable is the implementation of merdeka belajar policy variable with 78.85%, which is categorized as medium. It can be concluded that public secondary schools in Padang are ready to innovate while being supported by good learning innovation in order to carry out merdeka belajar policy. However, merdeka belajar policy and e-leadership have not been implemented maximally.
The importance of clinical trial protocols
Authors: De Moraes Silva Melissa Andreia
Published: June 2024

The International Committee of Medical Journal Editors (ICMJE) and the World Health Organization (WHO) define a clinical trial as any research that prospectively assigns participants or groups of human subjects to one or more interventions (medicines, procedures, devices, behavioral treatments, dietary supplements and diets, for example). These trials aim to evaluate the effects of interventions on human health. Prospective clinical research is essential for discovering new knowledge, improving the scientific base, solving challenges, and improving clinical practices. The basic principles for a successful researcher include interest, availability, persistence, and honesty. However, it is essential that, first of all, one has complete and detailed knowledge of scientific writing and preparation of the research protocol.
COVID-19 Health Impact: A Use Case for Syndromic Surveillance System Monitoring Based on Primary Care Patient Registries in the Netherlands
Authors: Rahmon Imme , Bosmans Mark , Baliatsas Christos , Hooiveld Mariette , Marra Elske , Dückers Michel
Published: June 2024

Background

The COVID-19 pandemic challenged societies worldwide. The implementation of mitigation measures to limit the number of SARS-CoV-2 infections resulted in unintended health effects.

Objective

The objective of this study is to demonstrate the use of an existing syndromic surveillance system in primary care during a first series of quarterly cross-sectional monitoring cycles, targeting health problems presented in primary care among Dutch youth since August 2021.

Methods

Aggregated data from the surveillance system of Nivel Primary Care Database were analyzed quarterly to monitor 20 health problems often reported in the aftermath of disasters and environmental incidents. Results were stratified by age (ie, 0‐4, 5‐14, and 15‐24 years), sex, and region (province). Weekly prevalence rates were calculated as the number of persons consulting their general practitioner in a particular week, using the number of enlisted persons as the denominator. Findings were compared to quarterly survey panel data, collected in the context of the Integrated Health Monitor COVID-19, and the Dutch stringency index values, indicative of the intensity of COVID-19 mitigation measures.

Results

Over time, weekly rates pointed to an increased number of consultations for depressive feelings and suicide (attempts) among youth, during and after periods with intensified domestic restrictions.

Conclusions

The results illustrate how, from a disaster health research perspective based on the COVID-19 pandemic, health consequences of pandemics could be successfully followed over time using an existing infrastructure for syndromic surveillance and monitoring. Particular areas of health concern can be defined beforehand, and may be modified or expanded during the monitoring activities to track relevant developments. Although an association between patterns and changes in the strictness of mitigation measures might seem probable, claims about causality should be made with caution.
Perspectives on Artificial Intelligence in Nursing in Asia
Authors: Lukkahatai Nada , Han Gyumin
Published: June 2024

Artificial intelligence (AI) is reshaping health care, including nursing, across Asia, presenting opportunities to improve patient care and outcomes. This viewpoint presents our perspective and interpretation of the current AI landscape, acknowledging its evolution driven by enhanced processing capabilities, extensive data sets, and refined algorithms. Notable applications in countries such as Singapore, South Korea, Japan, and China showcase the integration of AI-powered technologies such as chatbots, virtual assistants, data mining, and automated risk assessment systems. This paper further explores the transformative impact of AI on nursing education, emphasizing personalized learning, adaptive approaches, and AI-enriched simulation tools, and discusses the opportunities and challenges of these developments. We argue for the harmonious coexistence of traditional nursing values with AI innovations, marking a significant stride toward a promising health care future in Asia.
Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial
Authors: Burns James , Chen Kelly , Flathers Matthew , Currey Danielle , Macrynikola Natalia , Vaidyam Aditya , Langholm Carsten , Barnett Ian , Byun Andrew (Jin Soo) , Lane Erlend , Torous John
Published: June 2024

As digital phenotyping, the capture of active and passive data from consumer devices such as smartphones, becomes more common, the need to properly process the data and derive replicable features from it has become paramount. Cortex is an open-source data processing pipeline for digital phenotyping data, optimized for use with the mindLAMP apps, which is used by nearly 100 research teams across the world. Cortex is designed to help teams (1) assess digital phenotyping data quality in real time, (2) derive replicable clinical features from the data, and (3) enable easy-to-share data visualizations. Cortex offers many options to work with digital phenotyping data, although some common approaches are likely of value to all teams using it. This paper highlights the reasoning, code, and example steps necessary to fully work with digital phenotyping data in a streamlined manner. Covering how to work with the data, assess its quality, derive features, and visualize findings, this paper is designed to offer the reader the knowledge and skills to apply toward analyzing any digital phenotyping data set. More specifically, the paper will teach the reader the ins and outs of the Cortex Python package. This includes background information on its interaction with the mindLAMP platform, some basic commands to learn what data can be pulled and how, and more advanced use of the package mixed with basic Python with the goal of creating a correlation matrix. After the tutorial, different use cases of Cortex are discussed, along with limitations. Toward highlighting clinical applications, this paper also provides 3 easy ways to implement examples of Cortex use in real-world settings. By understanding how to work with digital phenotyping data and providing ready-to-deploy code with Cortex, the paper aims to show how the new field of digital phenotyping can be both accessible to all and rigorous in methodology.
Perspectives on Artificial Intelligence in Nursing in Asia (Preprint)
Authors: Lukkahatai Nada , Han Gyumin
Published: June 2024

UNSTRUCTURED

Artificial intelligence (AI) is reshaping health care, including nursing, across Asia, presenting opportunities to improve patient care and outcomes. This viewpoint presents our perspective and interpretation of the current AI landscape, acknowledging its evolution driven by enhanced processing capabilities, extensive data sets, and refined algorithms. Notable applications in countries such as Singapore, South Korea, Japan, and China showcase the integration of AI-powered technologies such as chatbots, virtual assistants, data mining, and automated risk assessment systems. This paper further explores the transformative impact of AI on nursing education, emphasizing personalized learning, adaptive approaches, and AI-enriched simulation tools, and discusses the opportunities and challenges of these developments. We argue for the harmonious coexistence of traditional nursing values with AI innovations, marking a significant stride toward a promising health care future in Asia.
Social Media Discourse Related to Caregiving for Older Adults Living With Alzheimer Disease and Related Dementias: Computational and Qualitative Study (Preprint)
Authors: Pickett Andrew C , Valdez Danny , Sinclair Kelsey L , Kochell Wesley J , Fowler Boone , Werner Nicole E
Published: June 2024

BACKGROUND

In the United States, caregivers of people living with Alzheimer disease and Alzheimer disease–related dementias (AD/ADRD) provide >16 billion hours of unpaid care annually. These caregivers experience high levels of stress and burden related to the challenges associated with providing care. Social media is an emerging space for individuals to seek various forms of support.

OBJECTIVE

We aimed to explore the primary topics of conversation on the social media site Reddit related to AD/ADRD. We then aimed to explore these topics in depth, specifically examining elements of social support and behavioral symptomology discussed by users.

METHODS

We first generated an unsupervised topic model from 6563 posts made to 2 dementia-specific subreddit forums (r/Alzheimers and r/dementia). Then, we conducted a manual qualitative content analysis of a random subset of these data to further explore salient themes in the corpus.

RESULTS

The topic model with the highest overall coherence score (0.38) included 10 topics, including caregiver burden, anxiety, support-seeking, and AD/ADRD behavioral symptomology. Qualitative analyses provided added context, wherein users sought emotional and informational support for many aspects of the care experience, including assistance in making key care-related decisions. Users expressed challenging and complex emotions on Reddit, which may be taboo to express in person.

CONCLUSIONS

Reddit users seek many different forms of support, including emotional and specific informational support, from others on the internet. Users expressed a variety of concerns, challenges, and behavioral symptoms to manage as part of the care experience. The unique (ie, anonymous and moderated) nature of the forum allowed for a safe space to express emotions free from documented caregiver stigma. Additional support structures are needed to assist caregivers of people living with AD/ADRD.
Exploring the analysis capabilities and clinical application potential of the Claude 3 Opus in different dermatologic images: the development of a large-scale multimodal model to assist in dermatology clinical practice (Preprint)
Authors: Huang Yuwei , Liu Xu , Zhang Lu , Zhou Xinyu , Kim Min-kyu , Lin Long , Jiang Xian
Published: June 2024

BACKGROUND

Publicly available, accessible, and user-friendly artificial intelligence is expected to serve in medical processes. Claude3, a newly introduced large-scale multimodal model, has demonstrated significantly superior image analysis capabilities compared to other models in official tests. However, there is no research reporting the potential of Claude3 in medical image analysis.

OBJECTIVE

To explore the analysis capabilities and potential applications of Claude3 Opus on dermatologic images.

METHODS

Dermoscopy and dermatopathology images from textbooks were collected, and question templates for different types of diseases were designed for Claude3 Opus. Three dermatologists used a structured scoring system with five modules to evaluate Claude3 Opus' analysis of images based on recognition, description, completeness, diagnosis, and clinical application, with each module scored out of 5 and a total score of 25.

RESULTS

A total of 330 images were collected. Claude3 Opus scored highest in pigmented disorders dermoscopy images (18.65/25), followed by vascular disorders dermoscopy (15.97/25) and vascular disorders dermatopathology images (15.86/25). In pigmented disorders, its score in dermoscopy (18.65/25) was significantly higher than in dermatopathology images (14.54/25), but no such difference existed in vascular disorders. Among the five modules, Claude3 Opus' recognition score (3.65/5) was significantly higher than the other four modules. There was no difference between description score (3.14/5) and completeness score (3.22/5), but they were significantly higher than the diagnostic score (2.47/5). Claude3 Opus scored higher in malignant diseases than benign diseases, regardless of dermoscopy or dermatopathology images (all p-values <0.05), with no impact from different magnifications in dermatopathology images (p>0.05) and no impact from different number of evaluators.

CONCLUSIONS

Claude3 Opus exhibits strong recognition capabilities for dermatologic disease images, can accurately describe abnormalities in images completely, and shows high sensitivity to malignant diseases. Apart from medical assistance, Claude3 Opus could potentially be widely used in medical education and patient communication.

CLINICALTRIAL

no need
Cohesión social en cooperativas del municipio de San Andrés Cholula, Puebla
Authors: Haro Álvarez Gonzalo
Published: June 2024

Las cooperativas en México son parte fundamental de la actividad económica; la unión entre sus miembros es vital para alcanzar metas y objetivos como grupo. Contextualizar su interior es fundamental para entender el papel de la cohesión social. El objetivo del estudio es explicar la importancia de los vínculos sociales, confianza, valores compartidos y sentido de pertenencia como pilares de la cohesión social, a través de lo que perciben los integrantes en las cooperativas. La metodología es cualitativa y transversal. Entre los resultados, los valores compartidos son el pilar más importante en las cooperativas.
Kesiagaan menghadapi bencana di Perpustakaan Kementerian “X” di Jakarta
Authors: Hasan Arnola Dewinta , Rachman Yeni Budi
Published: June 2024

Introduction. This study aims to identify disaster preparedness conducted by the Library of the Ministry of "X" through disaster preparedness standards by the International Federation of Library Associations and Institutions (IFLA).
Data Collection Methods. Using a qualitative case study method, the data collection was carried out through observation, interviews, and document studies.
Data analysis. Data from interviews and observations were reduced using transcripts and coding. The data was analyzed based on the five aspects of disaster management by IFLA.
Results and Discussion. The results of the study show that among the five stages of IFLA disaster preparedness, almost all of the stages did not meet the standard and comprehensive manner. Based on the risk assessment, it is known that the biggest threat comes from the internal environment, one of them is library human resources. Lack of awareness of library human resources affects the absence of an optimal budget and disaster preparedness activities.
Conclusion. The Ministry Library "X" in Jakarta had carried out disaster preparedness according to IFLA standards, however, it is still in the early stage.
Persepsi pustakawan atas aspek hubungan pesan dalam transaksi referensi Tanya Pustakawan Chat Perpusnas
Authors: Wicaksono Arief
Published: June 2024

Introduction. This paper investigates librarians' perception towards relationships in reference transaction in the context of Ask Librarian at National Library of Indonesia. Aspects dicussed within the relationships include opening and closing ritual, rapport building, and compensation for lack of nonverbal cues. The paper was written using Radford's concept.
Data Collection Methods. The paper used a quantitative approach with descriptive statistics.
Data Analysis. The quantitativa data were converted to qualitative data as an importance index to show the average.
Results and Discussion. Perceptions of the content and relationship aspects are very important. The importance index of the relationship aspect showed significant. Besides, the index of opening ritual, building relationships, and closing rituals also important. The index of compensation for the lack of nonverbal cues showed less important.
Conclusion. The content and relationship aspects are perceived as very important. Relational facilitators are also perceived as important. Compensation for nonverbal cues and humor are perceived as less important. The Radford's concept can be applied in the context of librarians' perceptions of chat reference services in the context of national library in Indonesia. Further research may discuss their topic from the perspectives of content analysis of chat transcripts and users survey.
Metacognitive Journal: An Intervention Strategy in Enhancing Low-Achieving Student’s Performance in Solving Functions and Perceptions Towards Mathematics
Authors: C. Ulson Kathlene
Published: June 2024

This research aimed to evaluate the performance of low-achieving students in solving mathematical functions—rational, inverse, logarithmic, and exponential—and their perceptions of mathematics. It also investigated the impact of metacognitive journals on these aspects. This was conducted on the Grade 11 General Academic Strand (GAS) students at Araceli National High School, the study divided participants into two groups: with metacognitive journals and no metacognitive journals. The effectiveness of the journals was measured using a 50-item test on solving functions and a 30-item test on students' perceptions of mathematics. The findings revealed that students using metacognitive journals generally showed score improvements and better posttest performance compared to those who did not use the journals. These students also developed more positive attitudes towards mathematics, though they faced challenges such as maintaining focus and feeling peer pressure. In contrast, students without journals enjoyed peer interactions but showed a slight decrease in performance. Overall, both groups had positive perceptions of mathematics, but the experimental group's perceptions of classmates and teachers were slightly less favorable. The study concluded that metacognitive journals are beneficial for enhancing learning and performance in mathematics, recommending their integration into classroom practices and assessments.
Maestría en Arquitectura. una profesión transdisciplinaria
Authors: Zárate Leticia
Published: June 2024

A lo largo de la vida académica siempre ha existido el mito de las rivalidades entre diversas profesiones, dos de ellas, la Arquitectura y la Ingeniería Civil, sin embargo, en la práctica profesional se ha demostrado que la unión da como resultado grandes obras. Hoy en día, en la Maestría en Arquitectura que se imparte en la FES Aragón no sólo se rompe con ese mito, sino que además el posgrado se propone como una profesión transdisciplinaria y así lo confirma el Maestro Sergio Alfonso Martínez González quien es Ing. Químico y responsable del Posgrado en Arquitectura.
Habilidades lingüísticas y conocimientos gramaticales de los estudiantes del CCH Vallejo
Authors: Fuerte Tavera Karen Fernanda
Published: June 2024

Esta investigación se realizó para analizar las habilidades lingüísticas (específicamente la producción escrita) y los conocimientos gramaticales de los estudiantes del CCH Vallejo, sin dejar de lado tanto la perspectiva como el perfil de los alumnos, para reflexionar sobre el impacto del dominio gramatical en la expresión escrita y, en especial, para tener un precedente que permita generar soluciones que beneficien a la comunidad estudiantil y académica. Se utilizó una metodología cualitativa, empleando como técnicas el análisis de documentos escritos, la observación participante, la entrevista y una prueba de conocimientos gramaticales. Los instrumentos diseñados se aplicaron a 11 estudiantes del CCH Vallejo, con quienes se trabajó durante un año escolar, por lo cual el análisis de los escritos es también de corte longitudinal.De manera general, se encontró que, al inicio del curso, las producciones escritas de los alumnos se caracterizaban por tener construcciones sintácticas simples, además de numerosos errores gramaticales, entre ellos, el mal uso de signos de puntuación (la mayoría de los alumnos sólo empleaba comas y puntos), las faltas de ortografía, los problemas de acentuación, la pobreza de vocabulario, los vicios del lenguaje y el uso indiscriminado de la persona gramatical. Aunque al final del año, la mayoría de los errores se siguieron manifestando, se percibió una madurez sintáctica en la producción escrita de los informantes, principalmente en aquellos con mayor conocimiento gramatical, en el sentido de que comenzaron a emplear estructuras sintácticas más complejas, y a realizar textos más desarrollados, con riqueza léxica y con otros signos de puntuación, como guiones o paréntesis. Con respecto al dominio gramatical de los informantes, se encontró que, a pesar de no ser deficiente, la mayoría carece de los conocimientos gramaticales básicos que debieron haber adquirido en etapas educativas previas, y que son indispensables para mejorar la producción escrita, tales como las categorías gramaticales y las funciones sintácticas. Se concluye que existe una correlación entre el conocimiento gramatical y el dominio de la producción escrita.
¿Qué información es necesaria para la rendición de cuentas de la política educativa? El caso de las Universidades Benito Juárez García
Authors: Salazar Rebolledo María Grisel , Peschard Mariscal Jacqueline , Olea Gómez Octavio
Published: June 2024

El artículo se propone analizar la información pública existente sobre una de las políticas públicas insignes del gobierno del presidente López Obrador que es el programa de las Universidades del Bienestar Benito Juárez García (UBBJG) para identificar si es posible avanzar en la rendición de cuentas de la misma. A partir de revisar la información publicada por el Organismo Coordinador de dichas universidades (OCUBBJG) y de solicitudes de información interpuestas, es posible verificar que existe un volumen importante de información, pero no es ni consistente, ni sistemática y, en algunos casos la información varía dependiendo de la fuente oficial consultada. El texto propone que la deficiencia informativa deriva de la estructura de organización dual de dichas universidades, ya que están sectorizadas en la Secretaría de Educación Pública (SEP), pero dependen de las directrices del presidente de la República, lo cual ha permitido que la información pública responda al objetivo de incrementar constantemente el número de sedes existentes (de 2019 a julio de 2023 han aumentado de 100 a 200 planteles) y la cobertura estudiantil, dejando fuera la relativa a los resultados concretos de la política educativa.
Distorsión del derecho de acceso a la información pública
Authors: Soto Guerrero Héctor Eduardo , Uvalle Berrones Ricardo
Published: June 2024

El artículo analiza las restricciones a la política de transparencia que resultan del embate gubernamental en contra del INAI. Los resultados muestran que el costo anual del INAI por mexicano es de siete pesos con cuarenta centavos. El veto presidencial a las designaciones de comisionados causó inoperatividad del INAI por 151 días, lo que generó una acumulación de 5,994 expedientes de revisión. El decreto presidencial del 18 de mayo de 2023 sobre la restricción de información de obras públicas vulnera el principio de máxima publicidad. Se ofrecen propuestas para superar el impasse y se concluye que la falta de designación de comisionados daña la garantía del ciudadano de acceder a la información pública.
Implementation of Social Communication in the Recovery of Drug Abuse Victims
Authors: Hambali Muhammad , Muniruddin Muniruddin
Published: June 2024

Drug abuse is a big problem in society because its impact can affect many aspects of life. Apart from harming the people directly affected, this also has an impact on families and society as a whole. Facing this challenge, new recovery methods are starting to be developed, especially those involving social and spiritual communication, to help victims of drug conservation. This research aims to evaluate the use of spiritual social communication methods in the recovery of drug abuse victims at the Bhayangkara Indonesia Drug Abuse Prevention Rehabilitation Center, Medan. Using a qualitative approach based on case studies, this research examines the influence of social spiritual communication methods on the recovery process, the challenges that arise, and strategies to increase their effectiveness. Research methods include participant observation, in-depth interviews with drug abuse victims and rehabilitation facilitators, as well as analysis of documents related to rehabilitation programs. The research results show that the integration of socio-spiritual communication methods has a positive impact on the recovery of victims. However, implementing this method faces several obstacles such as lack of community support and limited resources. To overcome these challenges, efforts are needed to increase public understanding and support, provide adequate resources, and strengthen professional capabilities in spiritual guidance. The conclusion of this research is that with shared commitment, social-spiritual communication methods can be an important element in sustainable recovery for victims of drug abuse.
A Case Study of Korean Medicine Treatment in a Patient Complaining of Generalized Dystonia
Authors: Lee Kyeong-hwa , Heo Hye-min , Kim Dong-joo , Kwak Min-jae , Hwang Ye-chae , Cho Seung-yeon , Park Jung-mi , Ko Chang-nam , Park Seong-uk
Published: June 2024

We report a case of generalized dystonia that developed from oromandibular dystonia and improved following Korean medicine treatment. The patient was hospitalized for 18 days and treated with herbal medicine, mainly Hyeongbangsabaek-san and Soyangbowi-tang, acupuncture, electroacupuncture, pharmacopuncture, cupping, and moxibustion. To evaluate the clinical effects of the treatment, we used the Unified Dystonia Rating Scale (UDRS) and Global Dystonia Severity Rating Scale (GDS) and checked dyskinesia occurrence in a diary recorded by the patient’s guardian. After 18 days of hospitalization, the UDRS for the trunk, upper extremities, and lower face improved by more than 50%, and the GDS for the whole region, except the larynx and lower face, also improved. In addition, the maximum duration of dystonia decreased from 6 hours to 3 hours, and the pain and numbness associated with dystonia disappeared. This case suggests that Korean medicine treatment is effective in treating generalized dystonia.
Penghinaan Terhadap Presiden dan Wakil Presiden Dalam KUHP Baru
Authors: Aprilianti Della , Usman Usman
Published: June 2024

The purpose of this study is to find out and analyze the regulation against insults against the president and vice president in the new Criminal Code and the old Criminal Code that has been declared unconstitutional by the Constitutional Court as well as to know and analyze the urgency of the insult article against the president and vice president so that it is revived. The formulation of the problem in this study is: 1) How is the regulation of the criminal act of insult against the President and Vice President in the Criminal Code? And 2) What is the criminal law policy on the urgency of the article of insult to the president and vice president so that it is included in the new criminal code? This thesis is written using a normative juridical type of research, which includes the study of norm vagueness. This thesis uses various approaches, including the Legislation approach, conceptual approach, comparative approach, historical approach. The results of the study found that 1) The regulation on insults to the President and Vice President in the new Criminal Code, is not a violation or defiance of the Constitutional Court Decision Number 013-022 / PUU-IV / 2006 because there is progress from regulating the criminal act of insult to the President and Vice President in the new Criminal Code 2) special protection of the dignity and dignity of the honor of the President and/or Vice President is something that deserves attention in a presidential system like Indonesia because the Criminal Code is considered no longer able to support various cases and dimensions of the development of new forms of crime. The Criminal Code, which is a Dutch heritage, is also seen
as incompatible with the development of thoughts or ideas and aspirations, demands or needs of the community, both on a national and international scale.
Risk Identification Activities Warehouse using Fuzzy AHP and Fuzzy FMEA Method
Authors: Albab Garnisa Ikwanus Sofa Ullul , Supriyadi Supriyadi , Nalhadi Ahmad , Shofa Mohamad Jihan , Maharani Ardita
Published: June 2024

Warehouse is an important part of a company's supply chain. The supply chain of a company involves various stages of activity, including the inspection stage, product¬ion stage, marketing stage, material handling stage, and finished product stage. Problems that occur related to the handling of poor product processes have an impact on the loading process and product delivery to consumers. Resolution methods from the literature can use AHP, FMEA, Fuzzy FMEA, and Fuzzy AHP-FMEA. This research tries to integrate Fuzzy AHP and Fuzzy FMEA to get a priority ranking of risk levels and provide recommen¬dations for decisions in warehouse management. The use of fuzzy in both methods because both methods use expert opinion and fuzzy can minimize the bias value of each respondent. The result of the research is a recommendations for the priority order of improvement of various potential risks that occur in the warehouse.
An Assessment of Vehicle Transport-Induced Air Pollution along a Traffic Corridor in Lagos
Authors: Ege Emmanuel , Adelugba AO , Adedeji Wasiu Oyediran , Oni Samuel Iyiola , Oke Sunday Ayoola , Asenime Charles
Published: June 2024

Air pollution control is receiving more attention for policy support, however, in Lagos, Nigeria, this phenomenon is not being used to its fullest. Furthermore, the use of experimental data from localized field studies is dismally low, causing poor policy decisions. This work is a new initiative to collect and analyze transport-stimulated air pollution in three areas of Lagos: Iyana Ipaja, Egbeda, and Ikotun using a concentration of pollutants (CO, SO2, and NO2) and emission severities. At Iyana Ipaja, CO was above the safe limit stipulated by the Federal Environmental Protection Agency (FEPA) and SO2 and NO2 were below the safe limit. At Egbeda, NO2 and SO2 varied between 0.35-0.4 and 0.2-0.3 parts per million (ppm) with the highest value recorded during the PM peak while CO exceeded the maximum daily limit of 10 ppm. At Ikotun, the CO was 105.8ppm, which is above the stipulated value of 10ppm and SO2 was below the value stipulated by FEPA while NO2 varied between 0.15ppm and 0.45ppm, which is lower than the safe limit of 0.06 parts per million (ppm). Static and dynamic emission levels (  and  ) for CO were most severe for Egbeda at (14.18 and 10.43 ppm/m), respectively. For SO2, ( and  ) were most severe for Iyana Ipaja at (0.08 and 1.00 ppm/m), respectively. The ( and  ) for Iyana Ipaja and Ikotun were tied at (0.08 and 1.00 ppm/m), respectively. The novelty of this work is the proposal of a robust dataset and analysis on the concentration of certain pollutants (CO, SO2 and NO2) and emission seventies in Lagos, which serves as a cornerstone approach to developing and implementing transportation and environmental policy in Lagos. Results suggest that the obtained method and data values adequately represent the air pollution values for policy decision usage.
Analysis of the Potential Hazards of Work Accidents Department of Production Using Failure Mode Effect Analysis (FMEA) and Fault Tree Analysis (FTA) Methods in PT. XYZ
Authors: Mayasi Sinyi Retno , Rusindiyanto Rusindiyanto
Published: June 2024

PT. XYZ is a company engaged in the business of white crystal sugar with raw sugar cane in Jombang. As the industrial world develops, companies are required to produce products both in terms of quality and quantity. Therefore, the production process has the potential to experience work accidents. To minimize this from happening, this research identified the potential hazards of work accidents in the production division. The methods used are the Failure Mode Effect Analysis (FMEA) and Fault Tree Analysis (FTA) methods. Using the FMEA method produced 3 potential hazards with the highest RPN values namely potential for exposed hot ashes at the boiler station with an RPN of 33,716. In second place is the potential collapse of the crane at the mill station with RPN 27,192. Then in third place is the potential Explosion of pipes and tanks at the evaporation station with an RPN value of 23.549. With the FTA method, the 3 potential hazards that have been obtained are used as top events and an analysis is carried out to find out the root causes of the potential accidents that occur. The analysis is grouped from human, equipment, and environmental aspects. From the human factor, it is known that the cause was workers who were not concentrating, were negligent, and did not comply with SOPs. The equipment factor comes from the age of the old tool and lack of maintenance. As well as environmental factors, namely high temperature pressure and humidity which can have an impact on corrosion of iron equipment. So that the suggestions that can be given to companies are imposing sanctions on employees who do not comply with the rules, providing job training according to their respective fields, and scheduling regular machine maintenance.
The Effect of Size, Sales Growth, Current Ratio and Tattoo, on Company Value with ROE as a Mediating Variable (Study on Manufacturing Companies Listed on the Indonesia Stock Exchange in 2019-2021)
Authors: Widyakto Adhi , Souisa Johanis , Rachmawati Windasari , Karim Abdul
Published: June 2024

This study was conducted based on two things: First, the phenomenon that during 2019-2021 many manufacturing industry companies listed on the Indonesia Stock Exchange, have a Price Book Value (PBV) smaller than one. The question is why the phenomenon occurs.  Second, several studies relating to the question produced different findings. The question arises about the determinants of PBV.  Is PBV influenced by SIZE, Growth, Current Ratio, Tattoo and ROE. This research uses two kinds of theories, namely; signaling theory, Trade Off Theory Agency Theory.   The data used is secondary data, which comes from the Financial Statements of Manufacturing Industry Companies listed in the Indonesia Capital Market Directory in 2018-2021.  This study used panel data with a sample of 230 from 431 all manufacturing companies during 2019, 2020, 2021.  Sampling based on purposive sampling. This study aims to find out the relationship between firm size, sales growth, current ratio, and total asset turnover on return on equity and firm value. Data analysis used multiple linear regression with the help of the smartPLS program. The results showed that firm size had no significant negative effect on return on equity. Sales growth, current ratio, and total asset turnover have no significant positive effect on return on equity. Firm size has no significant positive effect on book value. Sales growth, current ratio, and total asset turnover have no significant negative effect on book value. Return on equity has a significant positive effect on book value.
Productivity Improvement of Production Unit Using Objective Matrix (OMAX) Method at PT. X
Authors: Kotimah Khusnul , Aryanny Enny
Published: June 2024

PT. X is one of the industries in Indonesia that processes sugar cane into sugar and is one of the suppliers of national sugar needs. PT. X's production activities in 2022 still cannot reach the target and production per period has fluctuated. Therefore, this study was conducted with the aim of knowing the current level of total and partial productivity and can provide suggestions for improvement to increase the productivity of sugar production at PT. X in the future. The method used is Objective Matrix (OMAX) with the determination of the weight of the criteria using the AHP method. The criteria used in this study are raw materials, labor, boiler machine working hours, electricity and water. Based on the calculations that have been carried out, it can be seen that partial productivity on raw material criteria, the best productivity ratio owned by the company is 6.97, on labor criteria the ratio is worth 1521.86, on the criteria for boiler machine working hours worth 978.91. In the electricity criteria, the best productivity ratio is 3.89. In the water usage criteria, the highest productivity value is 1.83. The company's highest total productivity achieved was 750.7 in the 6th period of August and the lowest productivity with a value of 73.8 in the 2nd period of June. Improvements were made to all criteria, especially labor criteria and boiler machine working hours. With the application of the OMAX method, PT. X can improve partial productivity and total productivity in the future and identify factors that cause productivity to drop in a certain period.