bluuebunny/crossref_metadata_2025 huggingface dataset:
Spontaneous Coronary Artery Dissection Involving the Left Main with Extension to Left Anterior Descending Artery and Left Circumflex Artery: Diagnostic and Management Challenges
Authors: Rusali Constantin Andrei , Cojocaru Lucia , Lupu Ioana Caterina , Uzea Cezar-Dan , Rusali Maria Lavinia
Published: December 2024

Background. Spontaneous coronary artery dissection is a rare cause of unstable angina, myocardial infarction, and sudden cardiac death, particularly among young women and individuals without conventional atherosclerotic risk factors. Case summary. We present the case of a 43-year-old woman who had two spontaneous coronary artery dissections, on the left anterior descending ar-tery and on the circumflex artery. She was ultimately managed medically, with good outcome. Discussion. SCAD is a unique and intricate condition that demands advanced diagnostic tech-niques and tailored management strategies. Greater awareness and advancements in imaging technologies have enhanced the detection and understanding of SCAD. However, continued re-search is crucial to resolve lingering uncertainties and further optimize patient outcomes.
Childhood Anemia in Mozambique: What Are the Determinants? A Multilevel Mixed Effects Analysis of 2011–2022/23 Population-Based Surveys
Authors: Maulide Cane Réka , Muhumuza Kananura Rornald , Wasswa Ronald , Gonçalves Maria Patrícia , Varandas Luís , Craveiro Isabel
Published: December 2024

Background/Objectives: Anemia adversely affects children's cognitive and motor devel-25 opment and remains a global public health problem. This study aimed to identify the individual, 26 feeding, household, and community determinants of anemia among children, in Mozambique. 27 Methods: We used pooled datasets of Mozambique representative population-based surveys: the 28 Demographic and Health Surveys (DHS 2022/23 and DHS 2011), the Malaria Indicator Survey 29 (2018), and the Immunization, Malaria and HIV/AIDS Indicator Survey (2015). A total sample of 30 16273 children aged 6-59 months with available hemoglobin testing was included. Multilevel mixed 31 effects analysis was performed using STATA (18.0). Results: The overall prevalence of anemia was 32 71.4%. Children aged 6-11 months were less prone to anemia than children from other age groups 33 (AOR = 0.77, 95% CI = 0.62-0.97). Children who have suffered from illnesses were more likely to 34 have anemia than those who have not (AOR = 1.42, 95% CI = 1.15 -1.74). Children who received 35 Vitamin A supplements are less prone to anemia than those who did not (AOR = 0.76, 95% CI = 0.63- 36 0.93). Children from the highest wealth quintile households were less likely to suffer anemia than 37 their peers (AOR = 0.64, 95% CI = 0.41 -0.93). Overall, 17% of the variability in the prevalence of 38 anemia was attributed to differences between clusters (ICC = 0.17). Conclusions: Childhood anemia 39 remains a critical public health challenge in Mozambique, with prevalence rates exceeding the av-40 erage for Sub-Saharan Africa. The findings underscore the urgent need for multisectoral interven-41 tions targeting individual risk factors and the wider regional disparities contributing to this issue.
Finite Element Analysis of the Subframe in a Hydrogen Fuel Vehicle
Authors: Zhuang Jihui , Zeng Fan , Wang Shiying , Yin Chunshan
Published: December 2024

This study investigates the structural integrity and fatigue performance of subframes in hydrogen fuel cell vehicles under complex operating conditions. A systematic approach based on finite element analysis (FEA) is proposed to evaluate subframe performance across various conditions, including vertical impact, cornering, braking (front and rear), cornering braking, and front-wheel obstacle crossing. A 3D model of the subframe is first created using CATIA, followed by high-quality meshing in HyperMesh, which incorporates detailed geometric features, material properties, and connection characteristics. Multi-body dynamics simulations are conducted using Adams to extract data for typical operating conditions. Static and modal analyses are performed with Optistruct and Nastran to assess stress distribution, deformation behavior, and variations in natural frequency. Additionally, fatigue analysis is conducted using HyperLife to evaluate the subframe’s durability under these conditions. The results show that the subframe design exhibits excellent structural safety and fatigue resistance, meeting all design specifications. This research provides valuable theoretical and practical insights for optimizing subframe design in hydrogen fuel cell vehicles. Future work may integrate topology optimization and lightweight design strategies to further enhance subframe performance and cost-effectiveness.
Philosophy of Family-Centered Nursing in Patient Diabetes Type 2: A Systematic Literature Review and Meta-Analysis
Authors: Makmuriana Lestari , Pandin Moses Glorino Rumambo , Sukartini Tintin
Published: December 2024

Background: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that is often associated with a range of complications, including cardiovascular disease, neuropathy, and diabetic retinopathy. Family-centered nursing (FCN) has emerged as an important approach to managing chronic diseases, particularly diabetes care, by involving family members in the patient's treatment and self-care process. This systematic review and meta-analysis aimed to evaluate the impact of family-centered nursing on glycemic control, treatment adherence, self-care behaviors, psychological well-being, and the broader implications of reducing diabetes-related complications and enhancing quality of life in T2DM patients. Methods: A systematic search was conducted across electronic databases to identify studies on family-centered nursing in the management of T2DM. Primary outcomes assessed included glycemic control (HbA1c levels), treatment adherence, self-care behaviors, psychological well-being (e.g., anxiety and depression), and diabetes-related complications. Data were synthesized through meta-analysis where applicable, focusing on quantitative and qualitative studies to gain comprehensive insights into the effectiveness of FCN interventions in diabetes care. Results: Meta-analysis indicated that family-centered nursing significantly improved glycemic control, with a reduction in HbA1c levels by an average of 1.2% (p < 0.05) in intervention groups compared to standard nursing care. Furthermore, treatment adherence was higher in the family-centered nursing groups, with 25% greater adherence to medication and lifestyle modifications. Self-care behaviors, including diet management, physical activity, and blood glucose monitoring, notably improved in the FCN groups. Psychological well-being, particularly anxiety and depression, showed significant improvement, with a reduction in symptoms by 30% in patients receiving family-centered care. Conclusion: Family-centered nursing is an effective and supportive approach for managing type 2 diabetes. It enhances glycemic control, treatment adherence, and self-care behaviors while improving psychological well-being. The involvement of family members in diabetes care contributes to better outcomes and quality of life for patients. Future research is needed to explore the long-term impact of family-centered nursing and its integration into standard diabetes care protocols to optimize its benefits further.
The Usefulness of the Kidney-to-Aorta Ratio in Dogs with Chronic Kidney Disease
Authors: Costanza Dario , Castiello Erica , Coluccia Pierpaolo , Sangiuliano Camilla , Pasolini Maria Pia , Matarazzo Micheletino , Gnudi Giacomo , Greco Adelaide , Meomartino Leonardo
Published: December 2024

The kidney length (KL) to aortic diameter (AoD) ratio (KL/AoD) has been proposed as an ultrasonographic objective method to assess renal dimensions. However, its wide range of normal values limits sensitivity. Of note, its clinical utility in detecting renal disease has not been investigated. The main aim of this study was to assess the sensitivity and specificity of KL/AoD in dogs with chronic kidney disease. Of the 227 dogs in the final sample, 185 were healthy, and 42 were diseased. The obtained cut-off values for healthy dogs were similar to those previously reported. No differences were found between the KL of healthy and diseased dogs; however, using the KL/AoD ratio, diseased dogs showed a significantly smaller ratio (p = 0.0003), although a partial overlap between the two groups' values was present. Considering the Youden index at KL/AoD = 6.3, the ROC curve displayed a specificity of 83.24% and a sensitivity of 41.67%, while for KL/AoD = 5.6, the specificity was 97.57% and the sensitivity was 13.10%. The results of this study provide clinical usefulness for the KL/AoD ratio method, revealing excellent specificity but poor sensitivity.
ECM Stiffness-Induced Redox Signaling Enhances Stearoyl-Gemcitabine Efficacy in Pancreatic Cancer
Authors: Zhao Shuqing , Agyare Edward , Zhu Xueyou , Trevino Jose , Rogers Sherise , Velazquez Enrique , Brant Jason , Eliahoo Payam , Barajas Jonathan , Hoang Ba , Han Bo
Published: December 2024

Background: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, largely due to its dense fibrotic stroma that promotes drug resistance and tumor progression. While patient-derived organoids (PDOs) have emerged as promising tools for modeling PDAC and evaluating therapeutic responses, current PDO models grown in soft matrices fail to replicate the tumor's stiff extracellular matrix (ECM), limiting their predictive value for advanced disease.Methods: We developed a biomimetic model using gelatin-based matrices of varying stiffness, achieved through modulated transglutaminase crosslinking rates, to better simulate the desmoplastic PDAC microenvironment. Using this platform, we investigated organoid morphology, proliferation, and chemoresistance to gemcitabine (Gem) and its lipophilic derivative, 4-N-stearoyl gemcitabine (Gem-S). Mechanistic studies focused on the interplay between ECM stiffness, hypoxia-inducible factor (HIF) expression, and the nuclear factor erythroid 2-related factor 2 (Nrf2) pathway in drug resistance.Results: PDAC organoids in stiffer matrices demonstrated enhanced stemness features, including rounded morphology and elevated cancer stem cell (CSC) marker expression. Matrix stiffness-induced gemcitabine resistance correlated with upregulation of ABC transporters and oxidative stress adaptive responses. While gemcitabine activated Nrf2 expression, promoting oxidative stress mitigation, Gem-S suppressed Nrf2 levels and induced oxidative stress, leading to increased reactive oxygen species (ROS) and enhanced cell death. Both compounds reduced HIF expression, with gemcitabine showing greater efficacy.Conclusions: Our study reveals ECM stiffness as a critical mediator of PDAC chemoresistance through promotion of stemness and modulation of Nrf2 and HIF pathways. Gem-S demonstrates promise in overcoming gemcitabine resistance by disrupting Nrf2-mediated adaptive responses and inducing oxidative stress. These findings underscore the importance of biomechanically accurate tumor models and suggest that dual targeting of mechanical and oxidative stress pathways may improve PDAC treatment outcomes.
Artemisinin Stimulates Neuronal Cell Viability and Possess a Neuroprotective Effect In Vitro
Authors: Pukhov Sergey A. , Semakov Alexey V. , Pukaeva Nadezhda E. , Kukharskaya Olga A. , Ivanova Tatyana V. , Kryshkova Victoria S. , Bachurin Sergey O. , Kukharsky Michail S.
Published: December 2024

Artemisinin is a sesquiterpene lactone derived from the plant Artemisia annua L., renowned for its antimalarial activity. Based on this compound, various derivatives and analogues have been obtained that exhibit diverse biological activities, including clinically approved drugs. Recently, increasing evidence has highlighted the neuroprotective potential of artemisinin. In this study, we evaluated the effects of artemisinin on the viability of neuronal-like cells, including primary hippocampal neuronal cultures. Artemisinin exhibited a stimulating effect on SH-SY5Y and HEK-293 cells and enhanced the survival of primary neurons at low concentrations (1 µM). In contrast, artemisinin derivatives, such as dihydroartemisinin, anhydrodihydroartemisinin, and artemisitene, did not display similar stimulatory activity, suggesting that the intact lactone ring is crucial for this property. Furthermore, artemisinin demonstrated a protective effect against endoplasmic reticulum (ER) stress induced by the proteasome inhibitor MG132 in SH-SY5Y cells. However, it did not exhibit protective activity against oxidative stress induced by sodium arsenite. Additionally, artemisinin effectively inhibited the aggregation of mutated TDP-43 protein in transfected SH-SY5Y cells. These findings suggest that artemisinin exerts neuroprotective effects by targeting key molecular pathways associated with neurodegeneration, offering potential therapeutic insights for related conditions.
A Survey on Machine Learning Techniques in Multi-platform Malware Detection: Securing PC, Mobile Devices, IoT, and Cloud Environments
Authors: Ferdous Jannatul , Islam Rafiqul
Published: December 2024

Malware has emerged as a significant threat to end-users, businesses, and governments, resulting in financial losses of billions of dollars. Cybercriminals have found malware to be a lucrative business because of its evolving capabilities and ability to target diverse platforms such as PCs, mobile devices, IoT, and cloud platforms. While previous studies have explored single platform-based malware detection, no existing research has comprehensively reviewed malware detection across diverse platforms using machine learning (ML) tactics. With the rise of malware on PC/laptop devices, it is now targeting mobile devices and IoT systems, posing a significant threat to cloud environments. Therefore, a platform-based understanding of malware detection and defense mechanisms is essential for countering this evolving threat. To fill this gap and motivate further research, we present an extensive review of malware detection using ML techniques with respect to PCs, mobile devices, IoT, and cloud platforms. This paper begins with an overview of malware, including its definition, prominent types, impacts, analysis, and features. It presents a comprehensive review of machine learning-based malware detection from recent literature, including journal articles, conference proceedings, and online resources published since 2017. This survey also offers insights into current challenges and outlines future directions for developing adaptable cross-platform malware detection techniques. This survey is crucial for understanding the evolving threat landscape and developing robust detection strategies.
HIV Management with Selenium
Authors: Sarker Md. Safiullah , Pervez Mohammed Moshtaq
Published: December 2024

This review article examines the vital role of selenium, an essential trace element, in the management of Human Immunodeficiency Virus (HIV). Selenium’s intrinsic role in human health is emphasized due to its involvement in the synthesis of selenoproteins, critical for antioxidant defense mechanisms, where it mitigates cellular damage and inflammation. A particular focus is given to how selenium levels, often found to be deficient in individuals with HIV, correlate with the progression and management of the disease. The deficiency has been associated with advanced disease states, heightened risk of mortality, and increased susceptibility to opportunistic infections. Correcting selenium levels emerges as a crucial strategy, complementing antiretroviral therapy (ART), not only controlling viral replication but also improving overall well-being in affected individuals. The broader implications of selenium include its role in reducing the risk of co-infections, drug resistance, cardiovascular complications, and other conditions associated with HIV. This article endeavors to explain the multifaceted benefits of selenium in HIV management, exploring its potential to improve the quality of life for those living with HIV and reflecting on its significance in evolving comprehensive HIV care strategies.
An Analysis of Factors Contributing to Cost Overruns in the Global Construction Industry
Authors: Abdelalim Ahmed Mohammed , Salem Maram , Salem Mohammed , Al-Adwani Manal , Tantawy Mohammed
Published: December 2024

The construction industry builds infrastructure and strengthens the global economy, but it struggles with cost overruns. This systematic study uses scientometrics and Social Network Analysis to examine the multifaceted factors causing construction project cost escalations. After reviewing 405 scholarly works, the research maps and analyzes 66 interconnected cost overrun factors in 69 high-impact studies between 200 and 2024. To uncover the patterns, the study used two main research methods. First, this study applied a scientometric analysis that reviews trends and gaps from the previous studies. Second, this study used Social Network Analysis (SNA) to examine how different factors are connected and which factors have the strongest influence on cost overruns. The methodology comprises a systematic literature search, document selection, scientometric analysis, factor standardization, and SNA application. Seven critical drivers with high network centrality were identified: planning and scheduling issues, project estimation inaccuracies, design inefficiencies, negative weather conditions, scope definition challenges, contractual ambiguities, and unforeseeable site conditions. By applying SNA Degree Centrality (DC) the analysis quantifies the significance of each factor within the network. With the use of this dual analysis, a novel mapping of the main causes of cost overrun was produced, leading to the discovery of 7 core factors that significantly affected project outcomes, including planning and scheduling issues, project estimation problems, and design inefficiencies. The findings advanced the knowledge of the dynamics of cost overrun and offered practical insights for enhancing cost management practices in the construction industry.
Vitamin A - Part 2: “Vitamin A5, a Newly Identified Micronutrient for Brain and Nerves: What is Fact, What is Still Missing?”
Authors: Rühl Ralph , Bohn Torsten , Rohn Sascha , Böhm Volker , Despotivic Marta , de Lera Angel R. , Krezel Wojciech , Kucuk Omer , Banati Diana
Published: December 2024

A new vitamin has been discovered 80 years after the last identification of a vitamin - vitamin A5. What criteria are generally used to identify a substance as a vitamin? How does vitamin A5 fit into the partly misinterpreted and misleading definition of vitamin A? In this review, we summarise all the important findings to provide an open assessment of the current situation. It also identifies the missing details of this new vitamin concept. These details - what is present and what is missing - are evaluated in the historical and current context.
Longer Duration of Cord Clamping Improves NICU Survival Without Major Morbidities in Very Preterm Infants
Authors: Jegatheesan Priya , Belogolovsky Esther , Nudelman Matthew , Narasimhan Sudha Rani , Huang Angela , Govindaswami Balaji , Song Dongli
Published: December 2024

Background: Longer duration of deferred cord clamping (DCC) at least 120 seconds is associated with the highest reduction in mortality compared to shorter durations of DCC or immediate cord clamping in preterm infants. We compared the neonatal outcomes of very preterm infants who received at least 60 seconds to those who received at least 120 seconds of DCC. Methods: This is a retrospective single-center study including preterm infants born <33 weeks of gestational age (GA) between 2014 and 2019. The intended duration of DCC was 60 seconds in Period 1 (January 2014 to June 2016, n=139) and 120 to 180 seconds in Period 2 (July 2016 to December 2019, n=155). We compared the demographics, delivery room measures, and neonatal outcomes between the two periods as intent to treat analysis and per protocol analysis. Results: The intended duration of DCC was completed in 75% of infants in Period 1 (n=106) and 76% of infants in Period 2 (n-114). There was an increase in survival without major morbidities in the infants that received at least 120 seconds of DCC which remained significant after adjusting for GA and erythropoietin use (Odds ratio 8.6, 95% CI 1.6 to 45.7). Conclusion: Longer duration of DCC is associated with improved survival without major morbidities in preterm infants <33 weeks GA.
Laryngeal Cancer in Women: Unveiling Gender-Specific Risk Factors, Treatment Challenges, and Survival Disparities
Authors: Verro Barbara , Fiumara Simona , Saraniti Giuseppe , Saraniti Carmelo
Published: December 2024

Laryngeal cancer is one of the main causes of morbidity and mortality worldwide, with a significantly higher prevalence among men than women. However, the incidence, clinical characteristics and specific treatment of laryngeal cancer in women have often been overlooked by research. This review aims to examine gender differences in incidence, risk factors, hormonal mechanisms, survival and therapeutic approaches for laryngeal cancer in women. Although smoking and alcohol remain the main risk factors, evidence suggests that women may be more vulnerable to the harmful effects of these behaviors, with a relative higher risk than men. In addition, hormonal factors such as estrogen may influence women’s susceptibility to laryngeal cancer, accelerating tumor growth and complicating treatment. Differences in treatment between the sexes, with women tending to receive less intensive treatment than men, is another crucial aspect that needs more attention. This article also analyses the disparities in survival, highlighting that women often have a better prognosis, although this trend varies according to demographic characteristics and the health system. The increasing incidence of laryngeal cancer in women requires increased research to fully understand risk factors and underlying biological mechanisms, in order to develop more personalized treatments and optimize clinical outcomes for patients.
Sacrificial Love (Of Cyborgs, Saviors, and Driller, a Real Robot Killer), in the Comics Descender and Ascender
Authors: Admirand Peter
Published: December 2024

Seeking to examine cases of sacrificial love for another that is empathetic, unconditional, and morally redemptive, I focus on writer Jeff Lemire’s and artist Dustin Nguyen’s heralded comic series, Descender and Ascender (published by Image Comics starting in 2015 and 2018, respectively). In the first main subsection, I argue how illustrative fictional cases can mirror inter-human ethical struggles in our own world. Next, I look at some representative theoretical, literary, and biblical examples of sacrifice, especially regarding morally problematic theories about Jesus’ death on the cross, a classic Western example of sacrificial love. I then provide a brief context for why Descender and Ascender and highlight some of the main themes and characters in the comics. In doing so I draw from three main examples: the cyborg and mother Effie (Queen Between), the companion robot TIM-21, and an extended focus on the robot, Driller (“a real killer”), where I gleam key traits of sacrificial love as empathetic, unconditional, and morally redemptive. I close with how to distinguish unholy and holy forms of sacrificial love, and reflect on how the examples of sacrificial love in the comics ultimately complement my reading of Jesus’ sacrificial death on the cross while adding some stipulations to his oft-quoted saying: “No one has greater love than this, to lay down one’s life for one’s friends” (John 15:13).
On High-Resolution Mapping of Subsurface Sedimentary Facies and Reservoirs Using Seismic Sedimentology
Authors: Zeng Hongliu
Published: December 2024

This investigation presents the current status of seismic sedimentology, as applied to high-resolution (
The Neural Basis of Salt Perception: A Focus on Potassium Chloride as a Sodium Alternative
Authors: Iannilli Emilia , Fürer Raffaela , Welge-Lüssen Antje , Hummel Thomas
Published: December 2024

Excessive dietary sodium intake is a major risk factor for hypertension, prompting interest in potassium chloride (KCl) as a sodium chloride (NaCl) alternative. While KCl preserves saltiness, its neural processing compared to NaCl remains underexplored. This study investigates the neural correlates of taste perception for NaCl, KCl, and their mixture using gustatory event-related potentials (ERPs) in a sample of Twenty-eight healthy young adults. Participants rated the intensity, saltiness, and pleasantness of the stimuli, which were matched for iso-intensity and iso-pleasantness. High-density EEG data revealed distinct microstate patterns associated with each condition, particularly in the later stages of processing, which align with the endogenous phases of taste perception. Source localization identified the insula and opercular regions as primary sites for gustatory processing, with specific differences in activation patterns between NaCl and KCl. These findings suggest that while KCl elicits comparable behavioral responses to NaCl, its neural representation involves unique processes that may reflect its distinct chemical properties. This study advances our understanding of the neural dynamics of salt taste perception, providing insights into the potential use of KCl as a potentially healthier alternative in dietary interventions.
Comparison of Bending Properties of Sandwich Structures Using Conventional and 3D-Printed Core with Flax Fiber Reinforcement
Authors: Brejcha Viktor , Böhm Martin , Holeček Tomáš , Jerman Miloš , Kobetičová Klára , Robert Černý , Pavlík Zbyšek
Published: December 2024

The growing interest in sustainable materials has shifted focus toward the use of natural fibers in composite structures as potential substitutes for synthetic fibers. In this study, the bending properties of conventional sandwich structures are compared with alternative designs that incorporate natural fibers and 3D-printed sandwich cores. The mechanical properties of sandwich structures composed of glass fiber with a traditional core and flax fiber with both conventional and 3D-printed cores were evaluated through 3-point bending tests (EN 310) and density profile analysis. Results indicate that the 3D-printed core structure achieved an average modulus of elasticity of 2271 MPa and a bending strength of 30.9 MPa, alongside a lower density profile than conventional materials. However, natural fibers may reduce the saturation quality of foam cores compared to glass fibers. These findings confirm that 3D-printed cores present a competitive alternative for applications requiring precisely engineered structures, with particular promise in sustainable material development.
Short-Term Effects on Tear Film Following Cosmetic Botulinum Toxin Injections in Healthy Individuals
Authors: Bulut Mübeccel , Reyhan Ali Hakim
Published: December 2024

Background and Objectives:To investigate the effect of botulinum toxin-A (BoNT-A) injections on tear film dynamics in patients receiving cosmetic treatment. Materials and Methods: This cross-sectional study evaluated ocular surface parameters in three groups of patients who had received upper face BoNT-A injections within the previous six months, and in an age- and gender-matched control group. Ocular surface health was assessed using the Schirmer test (without anesthesia), Tear Break-Up Time (TBUT), and the Ocular Surface Disease Index (OSDI). Results: Significant differences in tear production were observed, the 0-1 month post-injection group exhibiting the highest mean Schirmer score (18.35 ± 7.63 mm), compared to 12.9 ± 3.64 mm in the control group (p < 0.01). TBUT measurements revealed greater tear film stability in the control (11.35 ± 2.92 seconds) and 0-1 month (11.05 ± 2.97 seconds) groups compared to the 1-3 and 3-6 month groups (p < 0.05). OSDI scores indicated increased symptom severity in the 1-3 month (18.62 ± 7.04) and 3-6 month (18.82 ± 6.08) post-injection groups compared to the control group (11.82 ± 2.67) (p < 0.001). Conclusions: Cosmetic BoNT-A injections can lead to alterations in tear film dynamics, potentially contributing to the development of dry eye symptoms. These effects appear to vary over time following injection. Further research is now needed to fully elucidate the long-term impact of cosmetic BoNT-A injections on the ocular surface.
Manet y el cuadro de maximiliano
Authors: Siller Vázquez Pedro
Published: December 2024

La representación del fusilamiento de Maximiliano de Habsburgo el 19 de junio de 1867, es muy conocida a través de alguna placa litográfica, pero más bien por los cuadros que el pintor francés Edouard Manet realizó años después. Cabe aclarar que él nunca estuvo en México, sino que lo realizó in- spirándose en descripciones, litografías y en reportes periodísticos, como un reportaje aparecido en Le Figaro, publicado el 8 de julio de 1867. En total realizó cinco versiones del suceso.
Inocencia vestida de gris
Authors: Larissa Pacheco Darian
Published: December 2024

Este artículo se basa en una entrevista que se realizó a Camilo del Real Buendía, un hombre que cargó con la responsabilidad infundada del homicidio de once mujeres y a quien se le fue arrebatada su libertad por más de cinco años.

Finalmente resuena la voz de un inocente que expresa su terrible experiencia tras ser víctima de las malas prácticas del Estado ante casos de presión social.
Golpe de estado en Bolivia
Authors: Orozco Víctor
Published: December 2024

No sabemos qué suceda al final del día con la República y el pueblo de Bolivia. Puede entronizarse un dictadura racista y fundamentalista a la manera de algún país islámico, o puede que triunfe de nueva cuenta el movimiento social y se establezcan reglas democráticas de convivencia al parejo que se mantiene un proyecto de transformación para beneficio de las mayorías.
¿Cuántos dijo?
Authors: Pineda Jaimes Servando
Published: December 2024

La UACJ en números en su 46 aniversario
Kemampuan Respresentasi Matematis dalam Pembelajaran Matematika: A Systematic Literature Review
Authors: Hawa Rahma Nur , Nurjanah
Published: December 2024

Mathematical representation ability plays an important role in helping students communicate, solve problems, and understand mathematical concepts better. This research aims to conduct a systematic review of the literature related to mathematical representation ability in mathematics learning, as well as to describe the trends, countries, educational levels, and learning models associated with it. The method used is a systematic literature review with PRISMA steps using the Covidence application on articles indexed in Scopus with the keyword "mathematical representation". The results showed that studies on mathematical representation ability in mathematics learning for the period 2014-2024 were mostly produced in 2018, 2020, and 2021. Indonesia became a productive country with high interest in this field, with the most research subjects from the junior high school level. The learning model often used was Problem Based Learning (PBL).
 
Abstrak
Kemampuan representasi matematis memiliki peran penting dalam membantu siswa mengomunikasikan, memecahkan masalah, dan memahami konsep matematika dengan lebih baik. Penelitian ini bertujuan melakukan kajian sistematis terhadap literatur terkait kemampuan representasi matematis dalam pembelajaran matematika, serta mendeskripsikan tren, negara, jenjang pendidikan, dan model pembelajaran yang terkait dengannya. Metode yang digunakan adalah systematic literature review dengan langkah-langkah PRISMA menggunakan aplikasi Covidence pada artikel yang terindeks Scopus dengan kata kunci "mathematical representation". Hasilnya menunjukkan bahwa kajian mengenai kemampuan representasi matematis pada pembelajaran matematika tahun 2014- 2024 paling banyak dihasilkan pada 2018, 2020, dan 2021. Indonesia menjadi negara produktif dengan minat tinggi dibidang ini, dengan subjek penelitian terbanyak dari jenjang SMP. Model pembelajaran yang sering digunakan adalah Problem Based Learning (PBL).
Evaluating and Accelerating Vision Transformers on GPU-based Embedded Edge AI Systems
Authors: Martin-Salinas Ignacio , Badia Jose M. , Valls Oscar , Leon German , Amor Rocio del , Belloch Jose A. , Amor-Martin Adrian , Naranjo Valery
Published: December 2024

Many current embedded systems comprise heterogeneous computing components including quite powerful GPUs, which enables their application across diverse sectors. This study demonstrates the efficient execution of a medium-sized Self-Supervised Audio Spectrogram Transformer (SSAST) model on a low-power System-on-Chip (SoC). Through comprehensive evaluation, including real-time inference scenarios, we show that GPUs outperform multi-core CPUs in inference processes. Optimization techniques such as adjusting batch size, model compilation with TensorRT, and reducing data precision significantly enhance inference time, energy consumption, and memory usage. In particular, negligible accuracy degradation is observed, with post-training quantization to 8-bit integers showing less than 1% loss. This research underscores the feasibility of deploying transformer neural networks on low-power embedded devices, ensuring efficiency in time, energy, and memory while maintaining the accuracy of the results.
Integrating DNA metabarcoding and morphological analysis improves marine zooplankton biodiversity assessment
Authors: Kim So-yeon , Cheon Seongmin , Park Chungoo , Soh Ho Young
Published: December 2024

Marine copepod communities play crucial roles in ocean ecosystems. However, their accurate assessment remains challenging due to taxonomic complexities. This study combines morphological and DNA metabarcoding approaches to evaluate copepod diversity and community structure in the northern East China Sea. Zooplankton samples were collected from 10 stations along a coastal-offshore gradient in August 2019. Morphological analysis identified 34 species from 25 genera, while DNA metabarcoding detected 31 species from 20 genera. Both methods revealed distinct coastal and offshore assemblages, with Paracalanus parvus s.l. as the dominant species across all stations. A significant positive correlation was found between morphology-based individual counts and metabarcoding sequence reads (Spearman’s Rho = 0.58, p < 0.001), improving at the genus level (Rho = 0.70, p < 0.001). Redundancy analysis revealed that salinity, temperature, and phytoplankton density significantly influenced copepod distribution. Although both approaches captured similar broad-scale patterns, they provided complementary insights into community structure. Morphological identification was more effective for detecting Cyclopoida diversity, whereas DNA metabarcoding had greater sensitivity for specific Calanoid species. This study underscores the value of integrating traditional and molecular methods for marine biodiversity assessment, especially in the context of global environmental changes.
Revealing the Oxidative Stress-Related Molecular Characteristics and Potential Therapeutic Targets of Schizophrenia through Integrated Gene Expression Data Analysis
Authors: Zhu Xiu-Mei , Chen Ji , Liu Jian-Wei , Guo Rui , Ba Hua-Jie , Yang Chun , Li Shi-Lin , Huang Ping , Li Cheng-Tao , Zhang Su-Hua
Published: December 2024

Background
Schizophrenia is a severe mental disorder characterized by oxidative stress imbalances. The underlying mechanisms of oxidative stress-related gene expression in schizophrenia require further investigation. Additionally, the diagnosis of schizophrenia lacks sensitive and specific biomarkers as well as predictive models for assessing susceptibility.
Methods
We analyzed genome-wide mRNA expression profiles from GSE38484 (schizophrenia = 106, control = 96) and GSE54913 (schizophrenia = 18, control = 12) using Weighted Gene Co-expression Network Analysis and machine learning to identify oxidative stress-related hub genes in schizophrenia. Subsequent analyses included Gene Set Enrichment Analysis, protein-protein interaction networks, immune cell infiltration, and molecular docking. A diagnostic model was also constructed.
Results
We identified five hub genes associated with oxidative stress in schizophrenia: CTSB, RNH1, REC8, ITIH4, and TNFAIP8L1, and constructed a diagnostic model (AUC = 0.954). Five hub genes and twenty co-expressed genes were enriched in pathways related to endopeptidase and endoribonuclease activities. Significant differences in the abundance of seven immune cell types were noted in schizophrenia samples. Drug prediction and molecular docking suggested UREA and COUMARIN as potential therapeutic agents targeting CTSB.
Conclusions
We identified five hub genes associated with oxidative stress in schizophrenia: CTSB, RNH1, REC8, ITIH4, and TNFAIP8L1. We carried out downstream analyses and constructed a diagnostic model for schizophrenia.
Transcriptome based weighted gene coexpression network analysis reveals synergistic effects of darkness and mechanical stimulation on pod development in peanut (Arachis hypogea L.)
Authors: Huang Lu , Umer Muhammad J. , Liu Hao , Li Haifen , Wang Runfeng , Qianxia Yu , Li Shaoxiong , Varshney Rajeev K. , Pandey Manish K. , Hong Yanbin , Lu Qing , Chen Xiaoping
Published: December 2024

Background: Peanut is an important oil crop with atypical fruitification pattern which require darkness and mechanical stimulation to facilitate normal pod development. Despite some progress in understanding peanut pod development and its response to external environmental stimulation, numerous unresolved questions and knowledge gaps remain regarding the role of darkness and mechanical stimulation in this complex process. Results: In this study, we managed to investigate the impacts of dark and mechanical stimulation on peanut pod development via transcriptome. A total of 55,087 genes along with a series of DEGs and pathways were identified among different treatment groups (CK, TB, TML and TMB) that play crucial roles, and offers a novel perspective on the role of photosynthesis during peanut pod development. Moreover, by utilizing weighted gene coexpression network analysis (WGCNA) we identified several hub genes (e.g., IAA9 (Ahy_B07g086610), BSK5 (Ahy_B03g068305), GRF7 (Ahy_B10g103808), and PER17 (Ahy_B10g105104)) and key pathways (e.g., plant hormonal and signal transduction pathway, and lignin biosynthesis pathway) that might be true candidates for peanut pod development. Further, the expression patterns of key candidates were validated via qRT-PCR during different pod development stages. Conclusions: Overall, our findings provide valuable insights into the mechanisms underlying peanut pod development in responding to darkness and mechanical stimulations.
Novel Machine Learning Approaches for Predicting Soil Moisture Content Using Hydrological and Soil Characteristics: A Comparative Analysis of ANN, SVM, and ANFIS Models
Authors: Taylan Osman , Al-Juaidi Ahmed E. M. , Guloglu Bulent
Published: December 2024

The agricultural system's ability to make decisions on water management and irrigation scheduling depends on knowledge of the soil moisture content. However, when used with large datasets, standard techniques for estimating soil moisture content, like time-domain reflectometry and gravimetric analysis, need a significant amount of time and manual labor. The moisture content of soil is significantly influenced by numerous critical hydrological and soil parameters. As a result, these characteristics can be used to calculate and predict the soil moisture content. This work offers an alternative machine learning (ML) method for modeling and predicting moisture content of soil based on hydrological and soil characteristics. To predict the moisture content of soil from various hydrological and soil properties, such as average water depth (feet), average soil bulk density (g/cm3), average organic matter (%), Cation-Exchange capacity (meq/100g), percentages of clay and sand content (%), and tonnage of residuals (ton/acre), three machine learning techniques were employed: artificial neural network (ANN), and support vector machine (SVM) and adaptive neuro-fuzzy inference system (ANFIS) were employed for the prediction of the soil moisture content. The findings demonstrated that all three methods (ANN, SVM, and ANFIS) could accurately predict moisture content, with different prediction error rates. The average prediction error (APE) of ANN, SVM, and ANFIS is 9.057%, 10.834%, and 5.753%, respectively, of which the lowest root mean square error (RMSE) was observed for ANFIS of the testing (0.9979) and training (1.0049) datasets. In nutshell, the created models may be used to forecast the moisture in the soil of any farms with given hydrological and soil characteristics to control the water management system, saving money, effort and scarce water resources in the process of figuring out the soil moisture content.
Exploring the Barriers and Facilitators to Vaccination among the Immunocompromised Population: A Scoping Review
Authors: Ejiegbu Anne , Shayanfar Melody , Brondani Mario
Published: December 2024

Objective
Individuals with immune deficiency are at increased risk of morbidity and mortality caused by vaccine-preventable diseases. Despite the advantages of vaccination, some members of this high-risk population question or refuse vaccines. This study aimed to identify the barriers and facilitators to vaccination among people with altered immunocompetence via a scoping review.
Methods
This review was guided by the Joanna Briggs Institute's framework to identify relevant publications examining factors influencing vaccine behaviours in immunocompromised populations. Our search encompassed studies published from January 1974 to July 25, 2022, across various databases, including MEDLINE (Ovid), CINAHL, PsycINFO, Web of Science, Cochrane Database of Systematic Reviews, EMBASE, ProQuest, TRIP, CHODARR, OpenGrey, and Google Scholar. Both peer-reviewed and grey literature were incorporated, irrespective of language, in line with predefined criteria. The synthesis specifically addressed vaccine uptake and hesitancy outcomes, along with factors acting as barriers or facilitators.
Results
Seventy-six publications were included, addressing both congenital and acquired immunodeficiencies. Notably, vaccines for COVID-19, Influenza, Pneumococcal disease, and Hepatitis B featured prominently. Vaccine uptake rates exhibited a wide range, spanning from 5.6–96.7%. Factors deterring vaccination uptake included concerns about adverse vaccine effects, doubts about vaccine benefits, lack of healthcare professional recommendations, and younger age. Conversely, predictors of higher vaccination uptake comprised older age, perceived vulnerability to vaccine-preventable diseases, higher education attainment, prior vaccination history, and longer immunosuppression duration.
Conclusions
Our study highlights that immunocompromised individuals' vaccination behaviours are influenced by unique health-related factors, such as concerns about vaccine safety and reliance on physicians due to limited vaccine knowledge. These insights are pivotal in the formulation of effective public health policies and interventions that address safety concerns and knowledge gaps and enhance understanding to support informed vaccination decisions.
Internet discourse of modern socio-political movements as a way of self-representation (on the example of the yellow waistcoat movement)
Authors:   Yerevan State University, Myasnikov Artyom I. , Vorobyov Maxim ,   Georgia Institute of Technology, Prokhorov Alexander V. ,   Stockholm University
Published: December 2024

The research of the study is Internet discourse as a way of self-presentation of modern sociopolitical
movements (case study of the Yellow Vest movement). The research purpose is analysis
of the Internet discourse of socio-political movements as a way of their self-presentation
(case study of the Yellow Vest movement). The research methodology includes Laclau-Mouffe
discourse analysis: identifying the antagonism of discourses (participants in the conflict),
definition of nodal points and hegemonic articulation that contributes to the positioning of
socio-political movements as an alternative to existing institutions of the system. Also in the
work through the theories of P. Ibarra and J. Kitsuse is going through the identification of the
main rhetorical strategies of Yellow Vest activists in their discourse. The author comes to the
conclusion that the Yellow Vests position themselves as opponents of the French government,
which they perceive as “lying” and “repressive”. The activists of the Yellow Vests present their
activities through the Internet discourse as an alternative to the existing institutions of the
socio-political system: In self-representation, the Yellow Vests define their movement as “a
free community that unites people regardless of their political views”. To create an alternative
to the existing institutions of the socio-political system, the Yellow Vests call for direct civil
referendums that could represent the interests of citizens without any representatives. The
research has theoretical and practical significance for the academic community and specialists
in the field of socio-political movements. The research may also be of interest to researchers of
modern socio-political life in France.
SMO in post-Soviet media on the example of the newspaper “SB. Belarus Today” (Republic of Belarus)
Authors:   St. Petersburg State University, Skidan Olga A. , Trofimova Anna S. ,   St. Petersburg State University
Published: December 2024

The subject of the research is publications on the topic of the Special Military Operation of
Russia in Ukraine in the media of the Republic of Belarus. The purpose of the study is to determine
the changes in the frequency and nature of references to the topic of SMO from March
2022 to February 2023 in the Belarusian newspaper “SB. Belarus Today”. The hypothesis of the
study is that the post-Soviet country takes a neutral stance on the SMO and covers it in terms
of objectivity. The research methodology includes content and event analysis of the newspaper
publications for a certain period of time in order to identify the topics, quantity and quality of
materials on the SMO; comparative analysis of media approaches to the coverage of the SMO
topic; discourse analysis (analysis of statements of the leaders of states, etc.). The authors come
to the conclusion that the examined newspaper the Republic of Belarus applies a comprehensive
approach to covering the subject of SMO, considering it in a separate rubric. The newspaper
presents a wide palette of news on the topics in the context of SMO, and the nature of the
mentioning can be defined as neutral and positive. Theoretical and applied significance of the
article lies in the application of a comprehensive approach in the study of the SMO through
content analysis, systematization of knowledge on the subject of SMO, as well as qualitative
confirmation of the friendly position of the Republic of Belarus on the subject of SMO and
other issues related to Russian involvement. The study is of practical relevance to the academic
community and specialists in the field of union integration. Based on the results obtained, the
researcher will form a comprehensive approach to the vision of the SMO demonstrated in the
pro-Russian media of the Union State.