bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Synthesis of Novel Anti-proliferative Formononetin Derivatives
Authors: Luo Zeping , Pan Liwei , Yin XiuJu , Chen Hailin
Published: March 2024

Background:

This study aimed to design and synthesize a series of novel C8-
Formononetin derivatives and evaluate their in vitro anti-tumor activity. The experimental results
showed that these derivatives exhibited varying degrees of anti-tumor effects on HeLa, A549, and
HepG2 cells, and compound 8, in particular, showed excellent inhibitory activity against HepG2 cell
growth, which surpassed that of 5-FU.

Methods:

Importantly, the cytotoxicity of FMN was significantly enhanced after conjugation with
amino acid ethyl ester. To further investigate the mechanisms underlying the anti-tumor effects of
these derivatives, various experimental approaches were employed. They include colony formation
assay, EdU cell proliferation assay, Transwell migration assay, cell apoptosis assay, cell cycle distribution
assay, and ELISA.

Results:

The results revealed that compound 8 effectively induced cell apoptosis by downregulating
the expression of anti-apoptotic proteins P53, Bcl-2, and Mcl-1 while upregulating the expression of
pro-apoptotic proteins Bax, Fas, Caspase-3, Caspase-9, and Fas, which leads to apoptosis of tumor
cells. Furthermore, compound 8 disrupted the mitochondrial membrane potential, perturbed cellular
energy metabolism, and reduced intracellular ATP levels, thereby inhibiting tumor cell growth.

Conclusion:

The newly synthesized FMN derivatives in this study hold great potential in the field of
anti-tumor research. Compound 8 inhibits tumor cell growth through multiple pathways, which provides
new hope for cancer treatment.
Exploring the Pharmacological Potential of Lobelia trigona and its
Bioactive Compounds
Authors: Moharana Ankita , Choudhury Priyabati , Behera Snigdha Rani , Vishwakarma Pratik Kumar , Tripathi Shivendra Mani , Srivastava Shobhit Prakash
Published: March 2024

Aim::

The aim of this in-depth review is to provide an overview of the pharmacologi-cal effects of Lobelia trigona and its bioactive components, highlighting its potential as a source of medicinal agents for various diseases

Methods::

This review involved a comprehensive analysis of existing literature and research studies on the pharmacological effects of Lobelia trigona and its bioactive compounds. A bib-liography survey was carried out using various electronic databases like Google Scholar, Sci-enceDirect, Springer, Scopus, PubMed, Wiley, etc., and other offline as well as online aca-demic libraries were also used for the bibliography survey and compilation of data.

Results::

Lobelia trigona was found to exhibit diverse pharmacological effects, primarily me-diated by bioactive alkaloids, such as lobeline, lobelanidine, and lobelanine. It demonstrated bronchodilator effects with potential applications in respiratory conditions, analgesic and anti-inflammatory properties for treating painful and inflammatory conditions, and cardiovascular effects, including vasodilation and hypotensive effects. The alkaloid lobeline was reported to have promising anti-addictive effects, particularly in smoking cessation. Nanocarrier-based formulations have the potential to address limitations, improve dosing schedules, and enhance the pharmacological effects of Lobelia trigona.

Conclusion::

Lobelia trigona demonstrates diverse pharmacological effects, primarily attribut-ed to its bioactive alkaloids. It holds promise as a source of medicinal agents for a range of diseases. The potential synergy between the pharmacological effects of Lobelia trigona and nanocarrier technology highlights the significance of nanotechnology in improving Lobelia trigona-based therapeutics. However, further research is warranted to determine the clinical effectiveness, safety, biocompatibility, and long-term effects of nanocarrier-based Lobelia trigona formulations in different disease models.
Targeting SIRT1 by Scopoletin to Inhibit XBB.1.5 COVID-19 Life
Cycle
Authors: Sotoudeheian Mohammadjavad , Mirahmadi Seyed-Mohamad-Sadegh , Pirhayati Mohammad , Farahmandian Navid , Azarbad Reza , Toroudi Hamidreza Pazoki
Published: March 2024

Natural products have historically driven pharmaceutical discovery, but their reliance has
diminished with synthetic drugs. Approximately 35% of medicines originate from natural products.
Scopoletin, a natural coumarin compound found in herbs, exhibits antioxidant, hepatoprotective, antiviral,
and antimicrobial properties through diverse intracellular signaling mechanisms. Furthermore,
it also enhances the activity of antioxidants. Severe Acute Respiratory Syndrome Coronavirus
2 (SARS-CoV-2) causes viral pneumonia through cytokine storms and systemic inflammation.
Cellular autophagy pathways play a role in coronavirus replication and inflammation. The Silent
Information Regulator 1 (SIRT1) pathway, linked to autophagy, protects cells via FOXO3, inhibits
apoptosis, and modulates SIRT1 in type-II epithelial cells. SIRT1 activation by adenosine
monophosphate-activated protein kinase (AMPK) and mammalian target of rapamycin (mTOR) enhances
the autophagy cascade. This pathway holds therapeutic potential for alveolar and pulmonary
diseases and is crucial in lung inflammation. Angiotensin-converting enzyme 2 (ACE-2) activation,
inhibited by reduced expression, prevents COVID-19 virus entry into type-II epithelial cells. The
coronavirus disease 2019 (COVID-19) virus binds ACE-2 to enter into the host cells, and XBB.1.5
COVID-19 displays high ACE-2-binding affinity. ACE-2 expression in pneumocytes is regulated
by signal transducers and activators of transcription-3 (STAT3), which can increase COVID-19 virus
replication. SIRT1 regulates STAT3, and the SIRT1/STAT3 pathway is involved in lung diseases.
Therapeutic regulation of SIRT1 protects the lungs from inflammation caused by viral-mediated
oxidative stress. Scopoletin, as a modulator of the SIRT1 cascade, can regulate autophagy and inhibit
the entry and life cycle of XBB.1.5 COVID-19 in host cells.
Ahorros fiscales y valor de la firma en los diferentes sistemas tributarios
Authors: Milanesi Gastón S. , Tennina María Agustina
Published: March 2024

Los sistemas de imposición sobre las ganancias empresarias se agrupan en dos clases conocidas bajo la denominación de integrados y clásicos, siendo el último el de mayor difusión en la literatura financiera. Sus características impactan en el valor de la firma. Partiendo de los diferentes modelos para estimar el valor actual de los ahorros fiscales, el trabajo describe los sistemas, sensibiliza variables y cuantifica el valor de la firma mediante el modelo de descuento de flujos de fondos. Seguidamente, se lleva a cabo un análisis descriptivo y comparativo de los sistemas tributarios, alícuotas, ahorro fiscal, costo del capital y valor de la firma apalancada mediante el modelo de descuento de flujo de fondos. Se toma la información financiera agregada de un conjunto de países integrantes de la OCDE y América Latina. Los resultados permiten exponer los errores comunes de especificación al emplear directamente el modelo clásico en la valoración de empresas. Además, expone las relaciones funcionales existentes entre valor de la firma y efecto fiscal en los diferentes sistemas tributarios correspondientes a la muestra de países estudiados.
Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study (Preprint)
Authors: Abd-alrazaq Alaa , Nashwan Abdulqadir J , Shah Zubair , Abujaber Ahmad , Alhuwail Dari , Schneider Jens , AlSaad Rawan , Ali Hazrat , Alomoush Waleed , Ahmed Arfan , Aziz Sarah
Published: March 2024

BACKGROUND

Research gaps refer to unanswered questions in the existing body of knowledge, either due to a lack of studies or inconclusive results. Research gaps are essential starting points and motivation in scientific research. Traditional methods for identifying research gaps, such as literature reviews and expert opinions, can be time consuming, labor intensive, and prone to bias. They may also fall short when dealing with rapidly evolving or time-sensitive subjects. Thus, innovative scalable approaches are needed to identify research gaps, systematically assess the literature, and prioritize areas for further study in the topic of interest.

OBJECTIVE

In this paper, we propose a machine learning–based approach for identifying research gaps through the analysis of scientific literature. We used the COVID-19 pandemic as a case study.

METHODS

We conducted an analysis to identify research gaps in COVID-19 literature using the COVID-19 Open Research (CORD-19) data set, which comprises 1,121,433 papers related to the COVID-19 pandemic. Our approach is based on the BERTopic topic modeling technique, which leverages transformers and class-based term frequency-inverse document frequency to create dense clusters allowing for easily interpretable topics. Our BERTopic-based approach involves 3 stages: embedding documents, clustering documents (dimension reduction and clustering), and representing topics (generating candidates and maximizing candidate relevance).

RESULTS

After applying the study selection criteria, we included 33,206 abstracts in the analysis of this study. The final list of research gaps identified 21 different areas, which were grouped into 6 principal topics. These topics were: “virus of COVID-19,” “risk factors of COVID-19,” “prevention of COVID-19,” “treatment of COVID-19,” “health care delivery during COVID-19,” “and impact of COVID-19.” The most prominent topic, observed in over half of the analyzed studies, was “the impact of COVID-19.”

CONCLUSIONS

The proposed machine learning–based approach has the potential to identify research gaps in scientific literature. This study is not intended to replace individual literature research within a selected topic. Instead, it can serve as a guide to formulate precise literature search queries in specific areas associated with research questions that previous publications have earmarked for future exploration. Future research should leverage an up-to-date list of studies that are retrieved from the most common databases in the target area. When feasible, full texts or, at minimum, discussion sections should be analyzed rather than limiting their analysis to abstracts. Furthermore, future studies could evaluate more efficient modeling algorithms, especially those combining topic modeling with statistical uncertainty quantification, such as conformal prediction.
Investigating Digital Patient-Reported Outcome Measures in Patient-Centered Diabetes Specialist Outpatient Care (DigiDiaS): Protocol for a Multimethod Prospective Observational Study (Preprint)
Authors: Torbjørnsen Astrid , Spildo Ingeborg , Mollestad Maria Aadland , Jensen Annesofie Lunde , Singstad Tone , Weldingh Nina Mickelson , Joranger Pål , Ribu Lis , Holmen Heidi
Published: March 2024

BACKGROUND

Living with type 1 diabetes is challenging, and to support self-management, repeated consultations in specialist outpatient care are often required. The emergence of new digital solutions has revolutionized how health care services can be patient centered, providing unprecedented opportunities for flexible, high-quality care. However, there is a lack of studies exploring how the use of digital patient-reported outcome measures (PROMs) for flexible specialist care affects diabetes self-management. To provide new knowledge on the relevance of using PROMs in standard care, we have designed a multimethod prospective study.

OBJECTIVE

The overall aim of this protocol is to describe our prospective multimethod observational study designed to investigate digital PROMs in a routine specialist outpatient setting for flexible patient-centered diabetes care (DigiDiaS).

METHODS

This protocol outlines the design of a multimethod prospective observational cohort study that includes data from electronic health records, self-reported questionnaires, clinical consultation field observations, and individual in-depth interviews with patients and diabetes health care personnel. All patients with type 1 diabetes at a designated outpatient clinic were invited to participate and use the digital PROM implemented in clinical care. Both users and nonusers of the digital PROM were eligible for the prospective study, allowing for a comparison of the two groups. Data were collected at baseline and after 12 months, including self-management as the primary outcome assessed using the Patient Activation Measure, along with the secondary outcomes of digital health literacy, quality of life, health economy, and clinical variables such as glycated hemoglobin.

RESULTS

The digital solution was implemented for routine clinical care in the department in November 2021, and data collection for the prospective study started in October 2022. As of September 6, 2023, 84.6% (186/220) of patients among those in the digital PROM and 15.5% (34/220) of patients among the nonusers have consented to participate. We expect the study to have enough participants by the autumn of 2023. With 1 year of follow-up, the results are expected by spring 2025.

CONCLUSIONS

In conclusion, a multimethod prospective observational cohort study can offer valuable insights into the relevance, effectiveness, and acceptability of digital tools using PROMs in diabetes specialist care. Such knowledge is crucial for achieving broad and successful implementation and use of these tools in a large diabetes outpatient clinic.

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/52766
The Effectiveness of a Telenutrition Intervention to Improve Dietary Behavior and Physical Activity Among Adolescents With Obesity: Protocol for a Systematic Review (Preprint)
Authors: Ansari Muhammad Ridwan , Kodriati Nurul , Pertiwi Ariani Arista Putri , Dewi Fatwa Sari Tetra
Published: March 2024

BACKGROUND

The global obesity pandemic among adolescents is becoming a public health issue throughout the world. Telehealth use has significantly increased during and after the COVID-19 pandemic, including its application in adolescent obesity prevention and treatment.

OBJECTIVE

This review aims to synthesize the evidence on the effectiveness of telenutrition in improving dietary behavior and physical activity in adolescents with obesity.

METHODS

The PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols) guideline will be used to structure this protocol. The focus of the systematic review is guided by the population, intervention, comparator, and outcome (PICO) framework. A systematic search of Science Direct, PubMed, Cochrane, Embase, JMIR, ProQuest, and Google scholar databases will be conducted. Two authors will screen the titles and abstracts of identified studies independently and select studies according to the eligibility criteria. The full-text reading will be done independently by 2 reviewers to assess final eligibility. Any discrepancies will then be discussed and resolved. The Cochrane Collaboration Risk of Bias tool was used to assess the risk of bias; a descriptive analysis will summarize the effectiveness of the telenutrition or any type of telehealth intervention used.

RESULTS

The systematic review is expected to be completed by the end of March 2024. The ongoing screening and review of the articles are currently being conducted.

CONCLUSIONS

This systematic review aims to summarize the effectiveness, features, design process, usability, and coherence of a telenutrition intervention using behavior change theory to improve dietary patterns and physical activity among adolescents with obesity. It will identify areas for improvement and best practices, informing the development of more useful and engaging telenutrition interventions for adolescents.

CLINICALTRIAL

PROSPERO CRD42023458336; http://tinyurl.com/cp46fjj9

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/53282
How Does Internet Access Influence Health Status? Moderated Mediation Model Based on the Digital Divide (Preprint)
Authors: Ao Song Harris , Li Qingrui , Zhu Yingxia , Zhao Xinshu
Published: March 2024

BACKGROUND

Nowadays, a number of people have Internet access in the U.S. Despite there being strong reasons to assume that Internet diffusion may improve individuals’ health status, there remain some questions.

OBJECTIVE

Information and communication technologies (ICT) play an important role in almost every aspect of citizens’ lives. However, access to these technologies is not equally distributed among all groups, which can cause inequality. The current study aims to reveal the mechanism of how internet access influences individuals’ health outcomes based on the digital divide theory.

METHODS

The empirical data for this study were drawn from the Health Information National Trends Survey (HINTS) 5, cycle 4, 2020 (N=3,635). Mediation and moderation analyses were conducted to test the hypotheses proposed in this study.

RESULTS

The study investigated the digital divide at all three levels (access, skill & use, and outcome). The findings reveal that Internet access is positively associated with health status through the serial mediation of eHealth engagement and health efficacy. The study also identified health self-efficacy as a mediator between the second (skill & use) and third (outcome) of the digital divide. Additionally, the study found a negative moderation effect of education on the relationship between Internet access and eHealth engagement.

CONCLUSIONS

To promote better public health conditions, it is essential to ensure more equitable access to the Internet. Internet access can improve individuals’ eHealth engagement, which can then facilitate their health self-efficacy and eventually enhance their overall health condition. Furthermore, we recommend that healthcare providers pay more attention to patients’ health self-efficacy during online interactions and information offerings.
Bibliometric Insights: How Machine Learning Shapes the Future of Geriatric Care Globally? (Preprint)
Authors: azizan azliyana
Published: March 2024

BACKGROUND

The rapid growth of elderly populations worldwide puts significant pressure on healthcare systems. Simultaneously, advancements in machine learning (ML) provide significant prospects to address several challenges in geriatric care. Comprehensively mapping out the research landscape is crucial to guide responsible expansion of machine learning in this domain.

OBJECTIVE

This study employs bibliometric analysis to examine the state of research on machine learning applications in geriatric care. It addresses fundamental inquiries regarding growth patterns, influential contributors, subject interconnections, and strategy orientations.

METHODS

Methodical searches obtained 866 articles from Scopus and Web of Science databases. Trends, productivity metrics, citation examination, and keyword co-occurrence mapping offered a multidimensional view.

RESULTS

Publications exploded after 2018, spearheaded by the US and China. Prolific scholars like Dr. Yingyao Wang lead high-impact research. Studies showcase ML's potential for early detection, well-timed interventions, and holistic evaluations. Sensors are at the forefront of driving developments in various journals. The thematic analysis reveals emerging patterns such as the increasing prominence of deep learning and the growing importance of ethical considerations.

CONCLUSIONS

This report offers empirical insights into the rapid and increasing growth, as well as the developing paths, that are driving ML research with the aim of revolutionizing geriatric care. It reveals significant possibilities as well as areas of research that need to be addressed, along with ethical dilemmas that require careful consideration. It will be crucial to maintain a cooperative and interdisciplinary research environment with the goal of promoting fair progress in machine learning. In general, researchers can intentionally utilize the potential of machine learning to significantly improve care for elderly populations.

CLINICALTRIAL

null
Correction: Feasibility of a Pediatric Acute Video Consultation Process Among Health Care Professionals in Primary Care in a Rural Setting: Protocol for a Prospective Validation Study (Preprint)
Authors: Castillo-Rodenas Marta , Vidal-Alaball Josep , Solanas-Bacardit Núria , Farràs-Company Clotilde , Fuster-Casanovas Aïna , Miró Catalina Queralt , López Seguí Francesc
Published: March 2024

UNSTRUCTURED
An Ethical Perspective on The Democratization of Mental Health with Generative Artificial Intelligence (Preprint)
Authors: Elyoseph Zohar , Gur Tamar , Haber Yuval , Simon Tomer , Angert Tal , Navon Yuval , Tal Amir , Asman Oren
Published: March 2024

UNSTRUCTURED

Knowledge has become more open and accessible to a large audience with the "democratization of information" facilitated by technology. This paper provides an ethical perspective on utilizing Generative Artificial Intelligence (GenAI) for the democratization of mental health knowledge and practice. It explores the historical context of democratizing information, transitioning from restricted access to widespread availability due to the internet, open-source movements, and most recently, GenAI technologies such as Large Language Models (LLMs). The paper highlights why GenAI technologies represent a new phase in the democratization movement, offering unparalleled access to highly advanced technology as well as information. In the realm of mental health, this requires a delicate and nuanced ethical deliberation.
Including GenAI in mental health may allow, among other things, improved accessibility to mental health care, personalized responses, conceptual flexibility, and could facilitate a flattening of traditional hierarchies between health care providers and patients. At the same time, it also entails significant risks and challenges that must be carefully addressed. To navigate these complexities, the paper proposes a strategic questionnaire for assessing AI based mental health applications. This tool evaluates both the benefits and the risks, emphasizing the need for a balanced and ethical approach for GenAI integration in mental health.
The paper calls for a cautious yet positive approach to GenAI in mental health, advocating for the active engagement of mental health professionals in guiding GenAI development. It emphasizes the importance of ensuring that GenAI advancements are not only technologically sound but also ethically grounded and patient centered.
Penerapan Healthcare Failure Mode and Effect Analysis (HFMEA) pada Implementasi Rekam Medis Elektronik
Authors: Yudianti Ellya - , Arini Merita -
Published: March 2024

Latar Belakang: Rekam Medis Elektronik (RME) terbukti meningkatkan kualitas layanan kesehatan. Namun, penerapannya belum mencapai target yang diharapkan, berisiko terhadap kepuasan dan keselamatan pasien, bahkan terancam gagal. Rumah sakit harus mengelola berbagai risiko pada penerapan RME untuk mencapai tujuannya.Tujuan: Penelitian ini bertujuan untuk mengidentifikasi dan menilai risiko-risiko penerapan RME, serta menyusun strategi pengendaliannya.        Metode: Penelitian ini menggunakan metode kualitatif dengan pendekatan partisipatif dan menerapkan Healthcare Failure Mode and Effect Analysis di sebuah rumah sakit swasta, melalui Consensus Decision-Making Group.Hasil: Penelitian ini mengidentifikasi 51 risiko penerapan RME, dengan 49 di antaranya yang diproses dan dikelompokkan menjadi 5 tema, yaitu kebijakan penggunaan RME, subjek RME, kualitas sistem RME, infrastruktur, dan komunikasi. Penilaian risiko bervariasi dari risiko rendah sampai sangat tinggi. Perhatian petugas masih berfokus pada kelengkapan data dan sistem yang berjalan, tetapi keamanan data belum menjadi perhatian. Penelitian ini merumuskan 16 rencana pengendalian risiko dengan 3 prioritas yang direkomendasikan, yaitu menyusun kebijakan dan pedoman implementasi RME, pelatihan secara hands-on kepada dokter, dan pembaruan sistem RME berkala serta menyusun co-creation tentang penambahan fitur sistem RME.                   Kesimpulan: Penerapan RME tidak terlepas dari risiko kegagalan. HFMEA mampu memotret hal ini dengan menggali potensi kesalahan. Diperlukan uji coba implementasi rekomendasi strategi perbaikan untuk mencegah kegagalan.
Pemodelan Indeks Ketahanan Pangan di Indonesia Berdasarkan Pendekatan Regresi Logistik Ordinal Data Panel Efek Acak
Authors: Azhar Anisa Laila , Suliyanto Suliyanto , Chamidah Nur , Ana Elly , Amelia Dita
Published: March 2024

ABSTRACTIndonesia is an agricultural country with the agricultural sector being an important sector in supporting food needs. Food availability that is less than necessary can lead to an unstable economy, as well as disrupt national food security. This study was conducted to model The Food Security Index (Indeks Ketahanan Pangan, IKP) and to find out what factors affect the status of food security in Indonesia.The analysis method used in this study is the logistic regression analysis of panel data with random effects. The data used in this study is secondary data related to IKP sourced from the Ministry of Agriculture and factors that are suspected to affect IKP in each province sourced from the Central Statistics Agency (Badan Pusat Statistik, BPS) from 2019 to 2021. The results of the analysis showed that statistically, the variable percentage of stunted toddlers and the variable percentage of households with access to electricity had a significant effect on the IKP. In addition, the results of the model conformity test showed that the random effect panel data logistic regression model was more in line with the classification accuracy of 50.98% when compared to the standard logistic regression with a classification accuracy of 40.80%.
Echoes of War: Exploring War poets and their Continued Resonance
Authors: Bhanot Akanksha
Published: March 2024

War poetry offers a very deep and personal perspective on the cruelty and destruction of war. Despite technological advancements in modern warfare since the World Wars, the fundamental miseries of armed conflict still exist. This essay examines the relevance of classic war poets like Wilfred Owen, Siegfried Sassoon, and Rupert Brooke in the modern context post WW I. Their evocative and authentic portrayal of life and death in the trenches and battlefields of WW I emphasize the necessity of peace and offer long lasting insights into the real consequences of conflict. Even though the vivid experiences of these poets were chronicled decades ago, their writings are still very relevant even today.
Analysis of the Path of Art Education in Township Primary Schools Based on ARCS Motivation Model: Example of Yangchun Root-Carving Intangible Cultural Heritage in Guangdong Province
Authors: Ruan Yuan , Wang Mingliang , Wang Ruei-Yuan , Chen Ho-Sheng , Hsieh Ya-Hui
Published: March 2024

This study cites the ARCS motivation model theory framework and takes the Second Primary School in Chuncheng Street, Yangchun, Guangdong Province, as the research object. The root-carving of intangible cultural heritage is integrated into the art classroom of township primary schools for experimental teaching, supplemented by a questionnaire survey method for sampling investigation. Research has found that current students have a limited understanding of the roots of intangible cultural heritage. However, creating root-carving art works in the form of calligraphy, allowing students to use clay instead of carving and shaping methods, and experiencing the charm of root-carving intangible cultural heritage can effectively increase learning interest, improve hands-on production ability, and improve creative expression ability. This study suggests that the integration of the root-carving of intangible cultural heritage calligraphy forms into art teaching methods still has certain limitations. Therefore, teaching optimization strategies are proposed, including improving teachers' knowledge and skills in root-carving intangible cultural heritage culture; carrying out resource sharing through O2O service models for schools and local cultural centers; adopting flexible and diverse teaching methods to cultivate students' interest in intangible cultural heritage; and expanding the content of primary school art textbooks.
Autorreparaciones en la afasia anómica en español. Un estudio de caso
Authors: Castillo Castillo Olivia
Published: March 2024

La afasia anómica es un trastorno neurológico que se caracteriza por la presencia constante de problemas en el acceso léxico. Estos problemas pueden ir desde una leve dificultad en la producción de palabras deseadas durante una conversación hasta la virtual incapacidad de producir sustantivos bajo cualquier condición. Las descripciones de este síndrome señalan a los silencios prolongados, falsos inicios y repeticiones constantes, como elementos problemáticos en el acceso léxico. En este trabajo se discuten dichas descripciones a partir del análisis de cuatro historias elicitadas narradas por un hablante con afasia anómica. Se muestran operaciones de autorreparación (AR) como búsqueda, reciclaje, eliminación y pausas entre unidades entonacionales. A partir de estos datos se presenta un instrumento de categorización que permite realizar observaciones sobre las formas gramaticales más recurrentes en cada una de las operaciones de AR y que proporciona información acerca de los procesos elaborados por el hablante con afasia anómica para acceder a elementos léxicos. Se presenta a las AR como elementos que privilegian la continuidad discursiva mediante elementos lingüísticos específicos; entre ellos destaca la frase nominal.
Productividad relativa de los esquemas de formación de palabras en el español de México. Actualización 2022
Authors: Zacarías Ponce de León Ramón Felipe
Published: March 2024

En este trabajo se presentan estadísticas sobre productividad de la morfología léxica en el español de México. Los datos se obtuvieron de la base neológica Morfolex y los cálculos se llevaron a cabo con el acumulado de neologismos a junio del 2022, el cual asciende a 21 605 palabras. A partir del corpus de neologismos se realizaron conteos de tipos, ocurrencias y hápax legomena para cada uno de los esquemas de formación de palabras representados en el corpus. La metodología seguida para estos cálculos es la utilizada en Morfolex desde 2010, presentada detalladamente en un trabajo anterior (Zacarías Ponce de León, 2016). En dicha investigación se mostraron los hallazgos correspondientes a diez mil neologismos. Con la actualización que se da a conocer ahora se reafirma que la base de datos Morfolex es representativa del léxico mexicano y ofrece un panorama de los procesos lexicogenésicos más productivos en esta variedad del español. Por último, se hace una comparación entre los datos actuales y los correspondientes a 2016 para constatar la evolución que han experimentado los distintos procesos formativos de léxico.
Las facultades del titular del Poder Ejecutivo estadounidense frente a la renegociación del TLCAN y las relaciones comerciales entre México y los Estados Unidos de América
Authors: Cruz Barney Oscar
Published: March 2024

En el presente texto analizamos la situación de las relaciones comerciales internacionales de México frente a las negociaciones para la modernización del Tratado de Libre Comercio de América del Norte. Se estudian las facultades del Poder Ejecutivo estadounidense en materia de negociaciones comerciales internacionales y las opciones de actuación frente al uso de éstas. Se plantea el proceso de modernización del TLCAN y sus principales aspectos: los objetivos de los países parte del Tratado y las implicaciones de los cambios propuestos.
Gobernanza portuaria clásica y la nue-va tendencia en los países de Latinoamérica
Authors: Freire-Seoane María Jesús , López Bermúdez Beatriz , Pais-Montes Carlos
Published: March 2024

Este artículo analiza con detalle la evolución de la gobernanza portuaria. En primer lugar se presenta una revisión de las teorías más relevantes sobre sistemas de gobernanza portuaria a nivel mundial; en segundo lugar se realiza una clasificación de la gobernanza portuaria en los países de América Latina a través del análisis de su legislación portuaria; finalmente, se presenta una propuesta de modelo de gobernanza portuaria, que responde a la problemática actual existente entre los stakeholders del cluster portuario.
El bioderecho y sus aportes a los ordenamientos jurídicos colombiano e interamericano. A propósito de una decisión peligrosa de la Corte Constitucional y su coincidencia con la jurisprudencia de la Corte Interamericana de Derechos Humanos
Authors: Valdés Erick , Puentes Laura Victoria
Published: March 2024

En sus sentencias C-066/13 y C-042/17, la Corte Constitucional de Colombia entiende la discapacidad como una particularidad individual “intensamente mediada por las barreras físicas, sociológicas y jurídicas que impone el entorno”. En este sentido, la discapacidad estaría radicada en la sociedad, cuya incompetencia para adaptarse a la persona que es diversa funcionalmente sería la verdadera causa eficiente —y por lo demás, exógena— de dicha discapacidad. Desde el enfoque del bioderecho, sostendré que la visión de la Corte es equivocada y, sin perjuicio de estar en sintonía con la jurisprudencia de la Corte Interamericana de Derechos Humanos, constituye un precedente peligroso, ya que al aplicar los argumentos de ambos altos organismos para la intelección del estatuto jurídico de ciertas prácticas biomédicas (como la manipulación genética disgenésica), éstos conducen a aceptar y permitir la creación de personas con discapacidades y deficiencias introducidas tendenciosamente, por vía genética, en su pasado embrionario.
La apelación por errores en la valoración de la prueba en el Código Nacional de Procedimientos Penales
Authors: Dei Vecchi Diego
Published: March 2024

En el texto se aborda la problemática relativa a la impugnación y revisión en alzada de decisiones judiciales, adoptadas durante el proceso penal, en virtud de potenciales errores en la valoración de la prueba y fijación de las premisas fácticas. En primer lugar, se pone de manifiesto la aparente tensión entre, por una parte, la garantía a doble conforme por medio de un recurso integral y, por la otra, el principio de inmediación, del que se seguiría que el tribunal de juicio es soberano en la valoración de la prueba. A partir de allí, y luego de una reconstrucción del modo en que el razonamiento probatorio ha de plasmarse en la decisión judicial de conformidad con las exigencias de la CPEUM y del CNPP, se demuestra que esa tensión es más aparente que real. Esto permite sostener que la solución del CNPP al excluir las cuestiones concernientes a la valoración de la prueba como posibles agravios a alegar por medio del recurso de apelación es una mala solución. Ello así, sobre todo, en virtud de que pretende ser una solución para un problema en gran medida inexistente.
La actividad minera, el nuevo TLCAN y los derechos humanos
Authors: Witker Jorge
Published: March 2024

En los momentos en los que los tres países renegocian el TLCAN, es oportuno destacar que los derechos humanos del artículo 1o. constitucional de la reforma de 2011 obligan a los negociadores mexicanos a responder en forma distinta respecto a las inversiones que vía concesiones Canadá participa mayoritariamente en la actividad minera, con efectos socioambientales negativos para las comunidades y pueblos donde operan las grandes empresas mineras de origen canadiense y estadounidense. A esta temática están destinadas las reflexiones de este artículo. .
Implementation of Productivity Improvement Techniques in Wood Industry
Authors: Pagar Keshav R. , Shinde Sachin V. , Jagtap Om M. , Parkhi Atharva S. , Mule Prathamesh S. , Pawar Swapnil B.
Published: March 2024

Abstract: In Industries, it is very important to save time and money in manufacturing products, because there is lots of competition in the industrial world. The main objective of this study is to improve productivity of the wood industry by implementing different types of productivity improvement techniques such as 5S, Lean Manufacturing, JIT, TQM, 6 Sigma, Kanban, Jidoka and PDCA, etc. Improvement can be done by above techniques and by observing the working process cycle and study of the machineries, time study, identifying the problems during process, process analysis, study of inventory management process, and make the solution on the based problems. The purpose of this study is to eliminate the wastes and reduce the idle times in industry.
Design and Implementation of SRAM Using Verilog
Authors: Bindal Kirti , Sharma Mukul , Agarwal Rachit
Published: March 2024

Abstract: This comprehensive review delves into the intricate realm of the Static Random-Access Memory (SRAM) design and implementation, elucidating its pivotal role in shaping the performance, efficiency, and reliability of contemporary electronic systems, involving applications in ASIC devices. With a primary focus on the integration of Verilog, a hardware description language (HDL), the paper provides an in-depth background on SRAM, meticulously detailing its architecture, operation, and overall significance in electronic systems. The review meticulously addresses challenges inherent in SRAM design, encompassing considerations such as power consumption, speed, and area efficiency. Significantly, it underscores the crucial role of Verilog by delving into its syntax, modules, and procedural constructs, showcasing its application in modeling key SRAM components. The discussion extends to design trade-offs, including size, speed, and power consumption, illustrating how Verilog plays a pivotal role in facilitating optimal parameter optimization. The review seamlessly integrates technical concepts like RTL (Register Transfer Level), and procedural assignments, ensuring a comprehensive exploration of SRAM design intricacies. Additionally, it introduces terms such as testbench, bitcell and power reduction, further enhancing the reader's understanding of the complex interplay between Verilog and SRAM design.
Review on Use of Nanomaterials in Concrete
Authors: Ghogare Prof. R. B.
Published: March 2024

Abstract: Various studies have highlighted the benefits of incorporating carbon nanotubes (CNTs) in concrete. They enhance compressive and flexural strength, prevent cracking, and improve durability. Different methods like sonication ensure uniform dispersion of CNTs in concrete. Additionally, research focuses on optimizing CNT concentrations to avoid adverse effects on properties like shrinkage and thermal conductivity. Overall, CNTs offer a promising solution to reinforce concrete and improve its mechanical properties effectively
Awareness of Night Eating Syndrome Among College Students (18-29 Years) Native to Manipur
Authors: Chisti S. Ferhinn , R Navaneetha
Published: March 2024

Abstract: Night Eating Syndrome (NES) is a stress-related disorder characterized by morning aphagia, evening hyperphagia and insomnia with the presence of nocturnal ingestions and mood variations which worsen in the evening and night. Presence of eating disorders, psychological disorders, sleep issues like trouble getting to sleep or staying asleep also contribute to this disorder . Night eating syndrome may lead to obesity, metabolic syndrome, diabetes and other life style disorders. The aim of this study is to create awareness of NES and its consequences among college students aged 18-29 years who are native to Manipur. The study collected demographic details and anthropometry measurements of the students and also studied their awareness of NES. Their knowledge about the association of regularly eating post dinner and adverse health outcomes was also studied. The following parameters were considered like age, gender, educational status, BMI category, physical level to study and to create awareness of NES among them. The study used descriptive and exploratory survey design with a quantitative approach to collect data from college students (18-29 years) who are native to Manipur. The sample size was 78 (as per inclusion criteria) consisting of both males and females together. This study revealed that the college students with a percentage of 61.5% from among the total respondents of 52, were not aware of NES and it’s consequences. The limitations of the study suggest further research in the area of Night Eating Syndrome to increase the awareness amongst the population and prevent the occurrence of lifestyle diseases.
Changes in the Cardiovascular System in Patients with Acute Leukemia after the Use of Polychemotherapy
Authors: Abdikhalimovna Amerova Dilafruz
Published: March 2024

Abstract: This article examines the seasonal changes in the vascular system and the problems that arise in this process in a patient with leukemic flow after polychemotherapy. Also, in the article, the results of the analysis of the cardiotoxic effects of polychemotherapy in patients with acute leukemia are cited and discussed
Edad materna avanzada y su asociación con resultados materno- perinatales en gestantes de un hospital público en Santiago de Chile
Authors: Ortiz Jovita , Villanueva-Pavón Loreto , Ortega-Colihuinca Camila , Mellado-López Fernanda
Published: March 2024

Introducción: Chile es un país Latinoamericano en etapa IV de transición obstétrica, con gestaciones en edad materna avanzada (EMA), lo cual podría influir en resultados maternos y perinatales. Objetivo: Determinar la prevalencia de gestantes en EMA y su asociación con resultados maternos y perinatales en gestantes de un hospital público en Santiago de Chile entre enero y julio, 2017. Material y Métodos: Estudio transversal analítico, en 2362 gestantes de un hospital público de Santiago. Datos obtenidos de base autorizada por comité de ética. Se realizó un análisis comparativo, mediante Stata 14.0. Se utilizó Chi cuadrado para analizar las variables cualitativas y se consideró un valor de p<0,05 como estadísticamente significativo.  Se calculó OR con un IC de 95%. Resultados: El promedio de edad de las gestantes con EMA fue de 37,9 ± 2,59. La EMA se asoció con escolaridad <12 a años de estudio, encontrarse con pareja, obesidad al ingreso de la atención prenatal y al momento del parto, hipertensión arterial, diabetes pregestacional y gestacional, multiparidad, y síndrome hipertensivo inducido por el embarazo. Asimismo, tuvieron más probabilidad de cesárea, presentar parto prematuro e hijos con bajo peso al nacer. Las mujeres sin EMA, tuvieron mayor probabilidad de estar con sobrepeso. Conclusión: Si bien las mujeres con EMA tienen condiciones maternas y perinatales acordes a la etapa de transición obstétrica avanzada, se requiere también atención de las mujeres sin EMA ya que presentan estados de sobrepeso que dan cuenta de un acelerado avance a un perfil nutricional de mayor riesgo perinatal.
Forensic seismic evidence for precursory mobilization in Gaza leading to the October 7 terrorist attack
Authors: Inbal Asaf
Published: March 2024

Seismic waves excited by human activity frequently mask signals due to
tectonic processes, and are therefore discarded as nuisance. Seismic
noise-field analysis is, however, a powerful tool for characterizing
anthropogenic activities. Here, I apply this analysis to examine seismic
precursors to the October 7 Hamas attack on Israel. The precursory
activity in Gaza included massive mobilization which took place in the
hours leading to the attack, and was documented on multiple media
outlets. Favorable conditions, which arise due to a temporary lack of
anthropogenic activity in Israel, allow remote seismic stations to
record signals due to Gaza vehicle traffic. I use these seismograms to
identify anomalous ground-motions, associate them with pre-attack
mobilization, and precisely determine their location. By applying array
analysis to three seismic stations located tens-of-kilometers from the
Gaza Strip, I was able to obtain valuable information on the Hamas
attack plans. This suggests that embedding seismic noise-field analysis
into decision-making protocols could enhance preparedness, thus
providing an opportunity to blunt terrorist attacks and reduce the
number of casualties.
Plume-driven subduction termination in 3-D mantle convection models
Authors: Heilman Erin , Becker Thorsten Wolfgang
Published: March 2024

The effect of mantle plumes is secondary to that of subducting slabs for
modern plate tectonics, e.g. when considering plate driving forces.
However, the impact of plumes on tectonics and planetary surface
evolution may nonetheless have been significant. We use numerical mantle
convection models in a 3-D spherical chunk geometry with damage rheology
to study some of the potential dynamics of plume-slab interactions.
Substantiating our earlier work which was restricted to 2-D geometries,
we observe a range of interesting plume dynamics, including plume-driven
subduction terminations, even though the new models allow for more
realistic flow. We explore such plume-slab interactions, including in
terms of their geometry, frequency, and the overall effect of plumes on
surface dynamics as a function of the fraction of internal to bottom
heating. Some versions of such plume-slab interplay may be relevant for
geologic events, e.g. for the inferred ~183 Ma Karoo
large igneous province formation and associated slab disruption. More
recent examples may include the impingement of the Afar plume underneath
Africa leading to disruption of the Hellenic slab, and the current
complex structure imaged for the subduction of the Nazca plate under
South America. Our results imply that plumes may play a significant role
not just in kick-starting plate tectonics, but also in major
modifications of slab-driven plate motions, including for the
present-day mantle.
Radiative forcing by super-volcano eruptions
Authors: Enger Eirik Rolland , Graversen Rune Grand , Theodorsen Audun
Published: March 2024

We investigate the climatic effects of volcanic eruptions spanning from
Mt.\ Pinatubo-sized events to super-volcanoes. The study
is based on ensemble simulations in the Community Earth System Model
Version 2 (CESM2) climate model using the Whole Atmosphere Community
Climate Model Version 6 (WACCM6) atmosphere model. Our analysis focuses
on the impact of different \ce{SO2}-amount injections
on stratospheric aerosol optical depth (AOD), effective radiative
forcing (RF), and global temperature anomalies. Unlike the traditional
linear models used for smaller eruptions, our results reveal a
non-linear relationship between RF and AOD for larger eruptions. We also
uncover a notable time-dependent decrease in aerosol forcing efficiency
across all eruption magnitudes during the first post-eruption year. In
addition, the study reveals that larger as compared to medium-sized
eruption events produce a delayed and sharper peak in AOD, and a
longer-lasting temperature response while the time evolution of RF
remains similar between the two eruption types. When including the
results of previous studies, we find that relating
\ce{SO2} to any other parameter is inconsistent across
models compared to the relationships between AOD, RF, and temperature
anomaly. Thus, we expect the largest uncertainty in model codes to
relate to the chemistry and physics of \ce{SO2}
evolution. Finally, we find that the peak RF approaches a limiting
value, and that the peak temperature response follows linearly,
effectively bounding the temperature anomaly to at most
\(\sim\SI{-12}{\kelvin}\).