bluuebunny/crossref_metadata_2025 huggingface dataset:
Determinants of Safe Behavior among Clinical Pathology Assistants at Dr. Soebandi Regional Hospital Jember, Indonesia
Authors: Octaviani Puspita , Hartanti Ragil Ismi , Indrayani Reny
Published: October 2024

Introduction: Every workplace has potential hazards that can threaten work safety, including clinical pathology laboratories. Work accidents in clinical pathology at Dr. Soebandi Regional Hospital Jember have decreased every year. This study aims to examine the determinants of safety behavior among clinical pathology assistants at Dr. Soebandi Regional Hospital, Jember. Methods: This research was a quantitative descriptive study with a cross-sectional approach. The study's respondents were 32 clinical pathology assistants. We collected data using a questionnaire. We analyzed this research using frequency, crosstab, and logistic regression tests. Results: The majority of clinical pathology assistants were under 40 years old, had completed occupational health and safety training, possessed competencies suitable for their work, maintained a positive attitude, and demonstrated high motivation at work. Almost all respondents stated that supervision was good, they had good knowledge, and their most recent level of education was Diploma-III. Most clinical pathology assistants behave safely. Clinical pathology assistants who are under 40 years old, have completed occupational health and safety training, exhibit competence, a positive attitude, and high motivation, report good supervision, possess good knowledge, and hold the latest Diploma-III education level are more likely to behave safely. Conclusion: Several clinical pathology assistants have demonstrated safe behavior while working in the clinical pathology laboratory. Several factors, including superior supervision and reasonable supervision efforts in the clinical pathology laboratory, contribute to the safe behavior of clinical pathology assistants.
Case study about a patient suffering from body integrity dysphoria and gender dysphoria
Authors: Kasten Erich
Published: October 2024

Among the phenomena that arise from a discrepancy between the external appearance of the body and the mental body image, there are two important ones: gender dysphoria (GD; transgender), which denotes people who have problems with their gender identity, and body integrity dysphoria (BID), which refers to people who have an intact body but mentally feel the need to change it in a way that may even cause disability, for example, an amputation. This single case report deals with the fate of a person who has both. This article describes a male-to-female transgender individual who managed to have her feet amputated, but was later arrested by police on charges of extreme pornography. The description shows that the suffering associated with BID can be so severe that extreme attempts at resolution are made. This case report also shows the lack of understanding in our society in dealing with the people affected. The article also shows that there seems to be a connection between the two different changes in body image gender dysphoria (GD) and body identity dysphoria (BID).
Information Theory of Gravity
Authors: Abanto Jeffrey Alloy
Published: October 2024

A new model of gravity is presented here that is similar to MOND and Chameleon theory but uses an Entropic Gravity approach that is not based fundamentally on the First Law of Thermodynamics. Instead, the Second Law of Thermodynamics will be mainly used here as it was applied in Black Hole Physics via the Area Theorem and the Holographic Principle. The Area Theorem was considered here to imply, not only that the total area of the event horizon will never shrink when entropy increases, but also that the mass or energy content within the black hole will always be greater than the original mass-energy input, though not necessarily violating the energy conservation law. This black hole property will be extended to include even a non-black hole setting. Moreover, the approach does not use the Equipartition Theorem to relate energy to temperature ($E=Nk_{b}T$) instead we used Vopson's Energy-Mass-Information Equivalence Principle ($E=k_{b}T\ln(\Omega)$). The theory uses $E=NE_{p}$, for the total energy of a massive object where $E_{p}$ is the Planck Energy and $N$ is the number of Planck Energy to represent the amount of information within the limit set at the Planck scale. It is shown here that gravity emerges whenever information is updated within a given volume of space with a magnitude that is defined not only by the gravitating matter but also by the energy generated in space within the vicinity of the gravitating matter. The model is the first to consider the role of both spacetime and matter as a medium to store information and apply it to describe gravity in a fundamental way.
Proof of the Riemann Hypothesis
Authors: Shehata Mohammed
Published: October 2024

By the strong relation between ξ function and the Riemann ζ function, we will prove the Riemann hypothesis which states that ”All non-trivial zeros z = x+y i of ζ must lie on the critical line x = 1/2". ”.
Neural Network Model for Detecting Leaf Diseases and Assessing Invasive Species: Computational Approach
Authors: Sabit MD Nahidul
Published: October 2024

Invasive species and plant diseases are critical threats to ecosystems and agriculture worldwide. Effective early detection of these threats can significantly mitigate their impact on biodiversity and crop yields. This paper presents a neural network-based model for detecting leaf diseases and identifying invasive species using advanced image processing techniques. The model integrates edge detection, color analysis, and morphological feature extraction to assess leaf health and species type. By automating the identification process, this approach offers an efficient and scalable solution for real-time ecological monitoring, contributing to conservation and agricultural sustainability efforts.
Importance of Modulating Kynurenine Metabolism – Approaches for the Treatment of Dementia
Authors: Baran Halina , Pietryja Marcelin Jan , Kepplinger Berthold
Published: October 2024

In this article we focus on kynurenic acid metabolism, a biochemical part of L-tryptophan catabolism, in processes related to memory and cognitive impairment and its subsequent relevance to neuropsychiatric disorders and the ageing process. Kynurenic acid is synthesised from L-kynurenine by kynurenine aminotransferases.
Experimental pharmacological studies have shown that elevated levels of kynurenic acid in the brain are associated with impaired learning and that lowering kynurenic acid levels can improve these symptoms. The discovery of new compounds with the ability to block kynurenine aminotransferase opens up new therapeutic avenues against memory impairment and dementia. The newly developed Helix pomatia snail model of memory is being used for this pharmacological approach. In conclusion, diet, exercise and physical activity have a significant impact on the endogenous pharmacology of kynurenic acid and significantly modulate steady-state conditions and delay the events of the ageing process.
Development of Homemade Indirect ELISA Kit for the Serological Detection of Antibodies Against Mycoplasma galisepticum in Chickens
Authors: Hurisa Takele Tesgera
Published: October 2024

Mycoplasma galisepticum (MG) is one of the most significant pathogens of domestic poultry and turkeys, causing substantial economic losses, especially in the commercial poultry industry, resulting in reduced egg production and the condemnation of carcasses in Ethiopian abattoirs due to the lack of detection methods to design control strategies. The study was aimed to develop an in-house indirect ELISA kit that can detect antibodies against MG in chickens. Coated antigen was purified from a whole culture of M. galisepticum, and the protein content was estimated, followed by optimization of the antigen, serum, and conjugate dilutions. The kit was assessed with natural and experimentally prepared serum and compared with a commercial ELISA kit. This in-house indirect ELISA kit had a sensitivity of 93.7% and a specificity of 87.5% and showed no cross-reactivity with positive serum against other avian infections. The current ELISA kit is sensitive and specific and can be used for the detection of antibodies against MG in chickens.
Study on Mechanical Properties of Prefabricated Lattice Beam Joint
Authors: Gu Renguo , KANG Yong-liang , HUANG Wei , YAN Zong-xue , FANG Ying-guang , Xu Yafei
Published: October 2024

The slope protection structure of the prefabricated lattice beam is one of the most widely used and studied systems in slope structure, the core part of which is the connection between the lattice beam joint and the longitudinal and transverse beams. Because the prefabricated structure is weak in its structural integrity, it is necessary to study the influence of prefabricated lattice beam joints and the longitudinal and transverse beams on the overall mechanical properties of the structure. In this paper, one ordinary cast-in-place concrete beam and six prefabricated beams with different joint connection modes are designed, and the influence of different connection modes on the bending capacity of the beams is accordingly explored. Moreover, the flexural capacity, bending stiffness change, ductility and energy absorption capacity of the beams are analyzed through three-point bending test. The test results show that the connection mode at the joints could significantly affect the overall mechanical properties of the structure. By embedding holes in steel sleeves, filling cement mortar in the middle, and using steel plates with a thickness of 16mm for anchoring treatment joints of end plates, the specimen beams are thus obtained with the same flexural capacity, ductility and energy absorption capacity as ordinary cast-in-place concrete beams, which could be used for specimen engineering applications.
Parametric Optimization of Inductor Design for Heating Metallic Materials
Authors: Leyva Pablo Alberto Limon , García Antonio de Jesús Balvantín , Diaz Rafael Alfonso Figueroa , Balvantin Antonio , López Eusebio Jiménez
Published: October 2024

This paper presents the experimental characterization and numerical optimization of the parametric design of inductors used for the induction heating process of metallic samples. Here, the variation of the geometric parameters of the inductor (the distance between the coil and the material, as well as the number of turns and separation between them), was analyzed. In addition, changes in the power input values of the heating system variables were also investigated; and finally, the heating time of the materials was taken into consideration. For the multi-objective numerical optimization process, a full factorial 2K experimental design was devised. Afterward, from preliminary experiments, a response surface was performed, from which the optimal candidates for the heating process were obtained. In the experiments, a methodology was designed for the acquisition and processing of heating data on ASTM E8 tensile test specimens. The main objective of this paper is to determine both the geometric parameters of the coil as well as the power input values of the circuit, which allow for generating uniform heating in the specimens. The objectives of the optimization process are to maximize the heating temperature minimizing the consumption of electrical current in the induction circuit. The data generated in the heating of the specimens were acquired using a Fluke® TI10 thermographic camera, while a BK Precision® regulated power supply was used for the induction circuit. The parameters obtained in the optimization process for the optimal candidates were corroborated through experimental tests. The paper shows the initial (non-optimal) and final (optimal) results obtained from the experimental tests. The heating station created with the optimal coil will be used for mechanical characterization tests on metallic materials at temperatures above room temperature.
Signal Transduction of Fucoxanthin Nanoparticles as Anti-Oxidative Stress and Anti-Inflammatory Protecting Aortic Damage in Diabetic Rats
Authors: Wardani Giftania , Kurnijasanti Rochmah , Mustafa Mohammad Rais , Hori Masatoshi , Sudjarwo Sri Agus
Published: October 2024

The anti-oxidative stress and anti-inflammatory effects of natural products can prevent diabetic complications such as retinopathy, nephropathy, neuropathy, and blood vessel damage. Fucoxanthin has potent antioxidant and anti-inflammatory properties. This research aimed to examine the preventative effects of fucoxanthin nanoparticles against aortic damage in diabetic rats. Dynamic Light Scattering (DLS) was utilized to identify the size of fucoxanthin nanoparticles. The experiment consisted of five groups (n=8) namely: Rats only received Streptozotocin (STZ) solvent and fucoxanthin nanoparticles solvent as a control group; Rats only received STZ and solvent of fucoxanthin nanoparticles solvent as the diabetic group; and Rats received STZ and fucoxanthine nanoparticles at a dose of 75, 150 and 300 mg/Kg BW as fucoxanthin nanoparticle group. The fucoxanthin nanoparticle sizes were 217.2 ± 42.8 nm in DLS. The dose-dependent administration of fucoxanthin nanoparticles elevated significant superoxide dismutase (SOD), glutathione peroxidase (GPx), nitric oxide (NO), endothelial nitric oxide synthase (eNOS), and insulin. However, blood glucose, malondialdehyde (MDA), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and endothelial cell necrosis decreased compared to those in the streptozotocin group. Our findings suggest that fucoxanthin nanoparticles decrease malondialdehyde levels and increase superoxide dismutase and glutathione peroxidase levels to inhibit oxidative stress, consequently preventing diabetes-induced aortic damage. Furthermore, fucoxanthin nanoparticles also may inhibit inflammation by reducing IL-6 and TNF-α levels. These mechanisms reduce endothelial cell necrosis, which can increase the expression of eNOS and NO levels in the aorta of diabetic rats.
Role of Mycorrhizal Fungi in Maintaining Sustainable Agroecosystem
Authors: Chaudhary Anju , Poudyal Shital , Kaundal Amita
Published: October 2024

Plant-microbe interactions are pivotal in a plant's growth and development. Mycor-rhizal fungi, in particular, play a crucial role in maintaining sustainable agroecosys-tems through symbiotic relationships with plant roots, improving soil health, facili-tating nutrient uptake, and enhancing plant stress resilience. Arbuscular mycorrhizal (AM) fungi enhance plant growth by increasing the absorption of essential nutrients, particularly phosphorus, nitrogen, potassium, zinc, and copper. The mutualistic rela-tionship between AM fungi and plants promotes a balanced microbial community and improves soil structure by forming stable soil aggregates. Additionally, mycorrhizal fungi increase plant tolerance to abiotic stresses, including drought, salinity, and heavy metal toxicity, by regulating osmotic balance, producing antioxidants, and altering exudatemorphology. It also negate harmful effects of high soil phosphorus levels and bolster plant resilience to environmental stresses. Beneficial microorganisms, such as potassium-solubilizing microbes and nitrogen-transforming bacteria, further enhance the functionality of mycorrhizal associations. Furthermore, mycorrhizal fungi con-tribute to plant health by reducing the incidence of root pathogens and soilborne dis-eases. However, the sustainability of mycorrhizal fungi is threatened by intensive agricultural practices, including heavy tillage, continuous monoculture, and excessive use of chemical fertilizers and pesticides. These practices disrupt hyphal networks and reduce microbial diversity, compromising mycorrhizal functionality. Alternatively, sustainable farming practices such as reduced tillage, crop rotation, and organic amendments are recommended to support healthy mycorrhizal populations. By adopting these practices, we can achieve long-term agricultural productivity while maintaining a healthy soil environment.
Effect of Preheating on Mechanical Properties of AISI 1037 and AISI 304 Welded Joints Using SMAW
Authors: Sudarsono Sudarsono , Arifin Amir , Gunawan Gunawan , Y.Q.A.W M. Rindang , Barata La Ode Ahmad , Ramli Mohd Ikram
Published: October 2024

AISI 1037 and AISI 304 steels are widely used across various industrial sectors, including manufacturing, transportation, petrochemical, and automotive industries. In this study, the effect of preheating on the toughness of dissimilar welded joints between AISI 1037 and AISI 304, joined by Shielded Metal Arc Welding (SMAW) using E309-16 electrodes, was investigated. The preheating process was performed prior to welding, and its influence on the joint's toughness was assessed through impact testing. Additionally, the hardness profile across the welded joint was evaluated using hardness testing. Macrostructure and microstructure examinations were conducted using an optical microscope and scanning electron microscopy (SEM) to analyse the fracture surfaces and microstructural evolution of the welded joints. The experimental results revealed that the impact strength increased as the preheating temperature was elevated. The highest hardness value, recorded in the fusion zone, reached 313 VHN. Compared to joints welded without preheating, the impact strength of the preheated welded joints significantly improved, with a notable transition in fracture mode from brittle to ductile behaviour. This indicates that the preheating process plays a critical role in enhancing the toughness and mechanical properties of dissimilar welded joints.
Data Augmentation Strategies for Improved PM2.5 Forecasting Using Transformer Architectures
Authors: Pan Phoebe , Srirenganathan Malarvizhi Anusha , Yang Chaowei
Published: October 2024

Breathing in fine particulate matter with diameters less than 2.5 µm (PM2.5) has greatly increased an individual’s risk of cardiovascular and respiratory diseases. As climate change progresses, extreme weather events, including wildfires, are expected to rise, exacerbating air pollution. The 2023 Canadian wildfires highlighted the growing threat of PM2.5 as smoke spread across U.S. cities like New York, Philadelphia, and Washington D.C. This research investigates the application of data augmentation techniques to improve the accuracy of PM2.5 concentration forecasts in these urban environments. Models trained on imbalanced datasets often struggle to capture extreme pollution events, underestimating high PM2.5 levels due to the model’s focus on more frequent, low-value samples. To address this, we implemented cluster-based undersampling and trained transformer models using various cutoff thresholds (12.1 µg/m³ and 35.5 µg/m³) and partial sampling ratios (10/90, 20/80, 30/70, 40/60, 50/50). Our results demonstrate that the 35.5 µg/m³ threshold, coupled with a 20/80 partial sampling ratio, provides the best performance regarding RMSE and R², particularly in capturing high PM2.5 events. Overall, models trained on augmented data significantly outperformed those trained on original data, highlighting the importance of resampling techniques in improving air quality forecasting accuracy, especially for high-pollution scenarios. These insights significantly contribute to a better understanding of PM2.5 pollution with the hopes of more informed public health and environmental policies.
A Semi-Supervised Remote Sensing Image Change Detection Network Based on Consistent Regularization for Multi-Scale feature Fusion and Multiplexing
Authors: Qi Yongjun , Jia Zhengzheng , Song Yuanmeng , Yang Shaohua , Zhu Jie , Liu Xin , Zheng Hongxing
Published: October 2024

Remote sensing image change detection is a key application technology in remote sensing. In recent years, the development of deep learning has brought new opportunities for remote sensing image change detection. However, to achieve high change detection accuracy, large-scale, good-quality labeled data is required to train the model, which is often difficult to obtain and costly. This paper proposes a semi-supervised remote sensing image change detection network based on consistent regularization for multi-scale feature fusion and reuse (SCMFM-CDNet), which can enhance change detection performance with limited labeled data. Specifically, the SCMFM-CDNet consists of two parts, the supervised stage multi-scale feature fusion and reuse network (MFM-CDNet) and the consistency regularization method of semi-supervised learning. The MFM-CDNet network uses channel attention mechanism and spatial attention mechanism to enhance the expression ability of features, and gradually completes the extraction and detection of change features through multi-scale feature fusion and reuse strategy. The consistency regularization method of semi-supervised learning adopts the teacher model and student model for alternate training, updating model parameters by minimizing the differences in their predictions, thus achieving semi-supervised learning. This paper conducted extensive experiments on three public datasets, LEVIR-CD, WHU-CD, and GoogleGZ-CD. Under the three labeling data ratios of 5%, 10%, and 20%, the F1 scores of the SCMFM-CDNet network on the LEVIR-CD dataset were 88.62, 90.78, and 90.63, respectively. On the WHU-CD dataset, the F1 scores were 88.40, 90.17, and 90.83, respectively. On the GoogleGZ-CD dataset, the F1 scores were 81.44, 82.36, and 85.40, respectively. The results indicate that the proposed network outperforms existing semi-supervised change detection methods in terms of comprehensive performance. In addition, this paper also conducted ablation experiments to evaluate the contribution of the global context module (GCM) and feature fusion reuse module (FFM) in the MFM-CDNet network. The experimental results show that these two modules are crucial for improving network performance.
Quaternion Spin: From Bell to Baryogenesis
Authors: Sanctuary Bryan
Published: October 2024

Changing the symmetry of spin from SU(2) to the quaternion group, Q8, introduces Q-spin which has a number of ramifications. We first summarize the properties of Q-spin and then discuss some of those resulting changes. Many are counter to well-established ideas which change our view of the microscopic. Dirac’s matter-antimatter pair is challenged, being replaced by a 2D structured spin. His negative energy issue and the baryon asymmetry problem are resolved; parity is not violated in beta decay, and the existence of neutrinos is questioned. Bell’s theorem is disproven by counter example, restoring Local Realism to Nature. The singlet state is an approximation; teleportation is not feasible, quantum computing must change to remove teleportation and focus on the qubit form of Q-spin which gives deterministic outcomes of ±1. This impinges on the Foundations of Quantum Mechanics, and we discuss the reasons for the failure of Bell’s theorem; the use of Hidden Variables, wave function collapse and explain the violation of Bell’s Inequalities by showing Q-spin is a boson of odd parity in free flight, and a fermion of even parity in a polarizing field. The violation of Bell’s Inequalities is due to an anyon transition between a boson and a fermion, formulating wave-particle duality. These changes are a result of compexifying the Dirac field.
Outcome-Based Framework for Gig Work: Enhancing Efficiency in a VUCA World
Authors: Vandy John Festus , Mohanty Sasmita
Published: October 2024

The Gig Economy (GE) has revolutionized traditional employment structures, emphasizing flexibility and autonomy for workers. However, the absence of a standardized framework often leads to uncertainties regarding work arrangements (WA) and outcomes. In response, we pro-pose an Outcome-Based (O-B) approach tailored to the unique dynamics of the GE in an era marked by high volatility, uncertainty, complexity, and ambiguity (VUCA). Drawing from an extensive literature review and industry insights, a comprehensive framework is developed, highlighting the integration of key elements such as task clarity, performance evaluation, and incentive mechanisms. Moreover, this framework considers the implications for various stake-holders, including gig workers, platform operators, and regulatory bodies. By aligning work ex-pectations with measurable outcomes, this approach seeks to enhance efficiency, accountability, and satisfaction within the GE ecosystem. The implications of adopting such a framework are discussed in terms of its potential to foster mutual trust, mitigate conflicts, and promote sus-tainable growth in the evolving landscape of flexible WA.
An Overview for the Need and Accessibility of Palliative Care Services for Romanian Patients with Liver Cirrhosis or End Stage Liver Disease
Authors: Dascalu Dr.
Published: October 2024

The concept of Palliative Care (PC) is more and more known in medicine and the need for this type of approach is growing in a world with great longevity and exponentially increasing chronic diseases. More and more cases from internal medicine, gastroenterology or cardiology wards could benefit from a better care if their medical team would align with the PC concept and principles. In this sense we try to present the specifical needs for Romanian patients in accordance with the current standards of care and how they must be adapted to the reality of the medical system in which they are cared for. We consider also that for medical staff from chronic disease wards it may be necessary to recapitulate the most important principles that govern medical practice of palliation, emphasizing some important aspects of applicability in daily clinical activity.
Urban Green Infrastructures as Tools for Urban Interconnection: The Case of San Bartolomeo District in Cagliari, Italy
Authors: Mundula Luigi , Di Fazio Clara , Leccis Francesca , Paradiso Maria
Published: October 2024

Contemporary urban areas are often characterized by various forms of enclaves, isolated from their surrounding geographical context. Urban Green Infrastructures provide an opportunity to open these enclaves, establishing physical and functional connections with the broader city, while also contributing to climate change mitigation and adaptation. This study examines the district of San Bartolomeo in the Italian city of Cagliari as an example of urban enclave and employs a participatory planning process to design a project that transforms it into a hub open to the wider city community. The result is a neighborhood shaped by its community, where social, economic, and environmental needs are balanced, fostering constant interaction between residents and the city as a whole.
Diabetes Awareness Campaigns to Prevent Ketoacidosis at the Diagnosis of Type 1 Diabetes: Efficacy on Multiple Outcomes and Predictors of Success: A Systematic Review
Authors: Minerba Elisa , Maines Evelina , Maines Evelina , Fedi Ludovica , Fanti Stefania , Fierro Alessandro , Mozzillo Enza
Published: October 2024

In our country, the incidence of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes (T1D) is still very high (35.7-39.6%), especially in youths. We aimed to determine the efficacy of awareness campaigns to prevent DKA on multiple outcomes and identify success predictors. The review included studies that focused on children under 18 years old, and outcomes were measured by comparing before and after implementing the campaigns in the same area and between areas where interventions took place or not. Of 177 records identified, 15 were eligible for analysis. The pooled difference in DKA frequency after a campaign implementation was between 1% and 65.5%. A decrease in the rate of acute complications, such as cerebral edema, was reported. Hemoglobin A1c (HbA1c) at onset showed a mean reduction of 0.7%- 5.1%; C-peptide increased in patients without DKA at diagnosis, and length of hospitalization decreased. Campaign costs were lower than costs of treating subjects with DKA. This review demonstrated that DKA awareness campaigns effectively reduce DKA incidence and improve other parameters, such as acute complications, HbA1c and C-peptide levels, length of hospitalization, and costs, among youths with T1D. To be effective, campaigns must follow specific principles of target population, modality, and minimal duration, reported in this review.
Factores asociados para vía aérea difícil en pacientes adultos atendidos en la Unidad de Trauma Shock del Hospital María Auxiliadora, 2019-2020
Authors:   , Calderon Milla Katherine Stef
Published: October 2024

Objetivos del estudio: Determinar los factores asociados para vía aérea difícil en pacientes adultos atendidos en la Unidad de Trauma Shock del Hospital María Auxiliadora, 2019-2020. Metodología: será un estudio analítico, observacional, retrospectivo y de caso-control. El grupo caso estará conformado por los pacientes que tienen vía aérea difícil y el grupo control estará conformado por los pacientes que no tienen vía aérea difícil. Se revisarán las historias clínicas para la recolección de datos. Los factores a evaluar serán epidemiológicos y clínicos; entre ellos Escala LEMON, Test Patil-Aldrety, Test de la distancia ECM, Test de protrusión mandibular.
Guía de práctica clínica para el manejo farmacológico de la Diabetes Mellitus Tipo 2 en pacientes con falla cardiaca en el tercer nivel de atención
Authors:   , Quispe Pacheco Measee Carolina , Praeli Meza Valeria Maria
Published: October 2024

Objetivo: Emitir recomendaciones para el manejo de la diabetes en pacientes con falla cardiaca, contextualizadas al Hospital Nacional Daniel Alcides Carrión (HNDAC) del Callao, Perú. Material y métodos: Se buscó sistemáticamente las GPC publicadas en los últimos 3 años en bases de datos, repositorios y organismos elaboradores. Se seleccionó aquellas que alcancen un puntaje >60% en la evaluación global con el instrumento AGREE-II. De cada guía se extrajeron las recomendaciones con sus respectivas preguntas clínicas. La aceptabilidad y aplicabilidad de las recomendaciones al contexto del HNDAC fueron evaluadas por médicos especialistas mediante la matriz ADAPTE. La dirección del HNDAC emitió una resolución directoral de la GPC con la versión final del documento. Resultados: De 26 GPC, 3 cumplieron requisitos: Diabetes Canadá 2018, SIGN 2017 y ESC/EASD 2019. Se adoptaron 9 recomendaciones. Los Inhibidores SGLT-2 fueron de primera elección, luego los GLP-1 e inhibidores DPP4, por último, insulina y metformina. Tanto tiazolidinedionas, saxagliptinas y sulfonilureas están contraindicadas. Conclusiones: Mediante un proceso de adopción y contextualización, se elaboró una GPC para el manejo de la diabetes mellitus tipo 2 en pacientes con falla cardiaca.
Comunicación organizacional y gestión de conflictos en un call center, distrito del Cercado de Lima (Perú), 2023
Authors:   , Chira Sencio Luz Marina , Yauri Jaramillo David Isaias , Salazar Urruchi Yrca Neir
Published: October 2024

La pesquisa tuvo como intención primordial abordar la vinculación entre la comunicación organizacional y la gestión de conflictos en un call center. El abordaje metodológico empleado fue de naturaleza cuantitativa, con un diseño no experimental, de corte transversal y de índole correlacional-causal. La muestra utilizada en el estudio estuvo conformada por 80 colaboradores, lo cual representa el total de trabajadores del call center. A partir de la implementación de instrumentos de medición, se obtuvo información trascendente que posibilitó la exploración de la asociación entre las variables analizadas. Los hallazgos indicaron una relación positiva y robusta entre ambas variables, sustentada por el coeficiente de correlación de Spearman, el cual registró un valor de Rho=0.803. Estos hallazgos avalan la veracidad de la hipótesis alterna esbozada, la cual proponía la presencia de una relación directa y notable entre la comunicación organizacional y la gestión de conflictos en el call center analizado. Estos hallazgos son de relevancia para la organización, ya que sugieren que fortalecer la comunicación interna y desarrollar estrategias efectivas de gestión de conflictos puede contribuir con el ambiente laboral y en la resolución de disputas en el call center materia de análisis.
Using feral pigeon (Columba livia) to monitor anthropogenic debris in urban areas: a case study in Taiwan's capital city
Authors: Chen Wei-Ting , Yang Wen-Ta , Ko Chia-Ying , Liou Sofia Ya Hsuan , Hsu Chia-Hsuan , Ko Chun-Han , Hung Chung-Hang , Yuan Hsiao-Wei
Published: October 2024

The terrestrial environment is a significant source of anthropogenic debris emissions. While most studies on anthropogenic debris focus on the marine environment, our research delves into human activity's effect on anthropogenic debris ingestion by studying the carcasses of feral pigeons. From January to June 2022, we collected the gastrointestinal tracts (GI tracts) of 46 pigeon carcasses in Taipei, Taiwan's capital city. The results reveal that 224 anthropogenic debris are found, with the dominant form being fibers (71.9%), primarily black (29.9%). Fourier transform infrared spectroscopy (FTIR) shows that the main component of anthropogenic debris is polyethylene (PE) (20.5%), followed by anthropogenic cellulose (19.2%) and various other plastics. This study finds that the number of anthropogenic debris and chemical composition in the GI tract significantly increases with human activity. This result proves that feral pigeons are valuable indicators for monitoring anthropogenic debris pollution in urban ecosystems. On the other hand, past research focused on analyzing microplastic, but we confirmed that pigeons' GI tract has a high proportion of anthropogenic cellulose. It is crucial that future studies consider the potential impacts of anthropogenic cellulose in terrestrial ecosystems, as this could have significant implications for ecosystem health.
Ursodeoxycholic acid prompts glycolytic dominance, reductive stress and epithelial-to-mesenchymal transition in ovarian cancer cells through NRF2 activation
Authors: Bai Peter , Sipos Adrienn , Kerekes Éva , Szeőcs Dóra , Szarvas Fanni , Schwarcz Szandra , Tóth Emese , Mikó Edit , Ujlaki Gyula
Published: October 2024

Numerous secreted bacterial metabolites were identified with bioactivity in various neoplasias, including ovarian cancer. One such metabolite is ursodeoxycholic acid (UDCA), a secondary bile acid. Hereby, we assessed the bioactivity of UDCA in cell models of ovarian cancer, by applying UDCA in concentrations corresponding to the serum reference concentrations of UDCA (300 nM). UDCA induced epithelial-to-mesenchymal transition (EMT), increased the flux of glycolysis and reduced the naturally occurring oxidative stress in ovarian cancer cells. These changes were dependent on the activation of NRF2. The tumoral overexpression of UDCA-induced genes in humans correlated with worse survival. These results point out that bacterial metabolites may have opposite effects in different neoplasias and raise the possibility that UDCA-containing remedies on the long run may support cancer progression in ovarian cancer patients.
Prescribing of antiepileptic drugs for the treatment of pain
Authors: Xia Ting , Ilomaki Jenni , Picco Louisa , Nielsen Suzanne
Published: October 2024

Background
Antiseizure medications (ASMs), particularly gabapentinoids like pregabalin, are increasingly prescribed for pain management. Despite their growing use, evidence of their effectiveness for pain is mixed. This highlights the need for a clearer understanding of the prevalence and prescribing patterns of ASMs in pain management.
Aims
To investigate the initiation of ASMs in people with and without pain or epilepsy diagnoses and to explore the concurrent use of opioids.
Method
This cross-sectional study used deidentified primary care data from 542 general practices in Victoria, Australia. Descriptive statistics were used to analyze ASM prevalence, concurrent opioid use, and prescribing patterns by age and gender.
Results
We identified 171,619 primary care patients who initiated an ASM between January 1, 2018, and May 31, 2023, of whom 80.1% had pain without epilepsy. Pregabalin was the most commonly initiated ASM, particularly among older adults with pain diagnoses, while sodium valproate, lamotrigine, levetiracetam, and carbamazepine were more commonly initiated for epilepsy. We also found high rates of opioid use preceding ASM initiation, particularly among patients with pain but not epilepsy.
Conclusion
Given the widespread off-label use of gabapentinoids and the potential for serious harm, further research is warranted to better understand their clinical and safety outcomes.
Electrical DNA Sensing using a Vertical 2D Heterojunction Diode Nanopore
Authors: Chen Sihan , Huang Siyuan , Son Jangyup , Han Edmund , Watanabe Kenji , Taniguchi Takashi , Huang Pinshane , King William , Zande Arend van der , Bashir Rashid
Published: October 2024

A long-unrealized vision in solid-state nanopore sensing is to develop membranes with out-of-plane architectures for local electrical sensing and control of DNA during translocation. Two-dimensional (2D) heterostructures enable out-of-plane electronics with layer-by-layer precision, making them ideal yet unexplored candidates for electrical sensing membranes. We demonstrate a nanopore architecture using an out-of-plane 2D heterojunction diode of p-type WSe₂ on n-type MoS₂. This diode exhibits rectified interlayer tunneling currents modulated by ionic potential, while the heterojunction interlayer potential reciprocally rectifies ionic transport through the nanopore. We achieve concurrent detection of DNA translocation using both ionic and diode currents and demonstrate a 2.3-fold electrostatic slowing of translocation speed. Encapsulation layers enable robust operation while maintaining the spatial resolution of atomically sharp heterojunctions for sensing. These findings establish a new paradigm for electrical DNA sensing and control using solid-state nanopores.
Geothermal Prospect Evaluation of Northern Benue Tough, northeastern Nigeria, From High Resolution Airborne Magnetic Data
Authors: Osinowo Olawale Olakunle , Abdulmumin Yusuf , Lamidi Tolulope Florence
Published: October 2024

Geothermal prospect evaluation of the northern Benue Trough was carried out using high resolution airborne magnetic data, with a view to delineate zones of geothermal potential for possible geothermal development. The spectral analysis of 76 overlapping gridded blocks of filtered, transformed and enhanced residual magnetic data of the northern Benue Trough was carried out to generate geothermal gradient and heat flow across the area. Lineament mapping for delineation and extraction of regional linear structures known to aid permeability and ease conduction of the subsurface heat through conduits created for underground water by fractures were also undertaking from the horizontal component of tilt derivative. The analyses of the resultant spectral generated from the processed grids of overlapping blocks of airborne magnetic data indicate geothermal gradient that range in values from 5 oC/km to 42 oC/km and heat flow values range between 19 mW/m2 to 105 mW/m2 across the study area. The delineated linear structures range in length from 7 – 170 km and trend dominantly along NE-SW direction. Two prominent anomalous geothermal zones with geothermal gradients and heat flow magnitude of up to 20 oC/km to 42 oC/km and 50 mW/m2 to 105 mW/m2, respectively, were delineated in the southwestern and southeastern part of the study area. The high geothermal zones coincide with zones of high lineament density and occurrence of warm springs and volcanic plugs.
Mechanisms of parasympathetic cholinergic control of pancreatic cell function
Authors: Caicedo Alejandro , Levi Noah , Tamayo Alejandro , Sokolov Madina , Barro-Soria Rene
Published: October 2024

It is generally recognized that the parasympathetic nervous system uses the vagus nerve to control insulin and digestive enzyme secretion from the pancreas. However, the neurotransmission mechanisms between the vagus nerve and the final targets in the pancreas have not been fully elucidated. Here we show that intrapancreatic neurons are the exclusive pancreatic targets of vagal efferent fibers, respond to vagal stimulation, react to cholinergic input with nicotinic and muscarinic receptors, and activate target cells in the pancreas. Using chemogenetic stimulation of intrapancreatic neurons in living pancreatic slices, we demonstrate that activation of muscarinic receptor signaling and concomitant closure of Kv7 potassium channels in neurons is required to efficiently stimulate acinar and islet cells. This mechanistic insight into how intrapancreatic neurons transmit vagal input to regulate pancreas function contradicts canonical models of neurotransmission at parasympathetic postganglionic neurons and is critical to develop vagus nerve electroceutical devices to treat diabetes and pancreatitis.
Changes in Cervical Cancer Stage at Diagnosis in Zambia over 15 years
Authors: Wu Rongyi , Kalima Mulele , Msadabwe Susan , Mwaba Catherine , Ng’uni Fred , Watson Zulu , Kamfwa Paul , Chonga Simoonga , Lishimpi Kennedy , Elul Batya , Soliman Amr
Published: October 2024

Purpose
This study explored the trend for change in the proportion of late-stage cervical cancer at one cancer center in Zambia from 2008–2022.
Method
This study included data of 5,755 cervical cancer patients seen at the Cancer Diseases Hospital (CDH) in Lusaka, Zambia between 2008 and 2022. The data included information about patient age, year of diagnosis, FIGO stage at diagnosis, HIV status, marital status, employment status, region of residence, and cervical screening history. We evaluated the stage at diagnosis over three time periods (2008–2012, 2013–2017, 2018–2022). Regression analysis identified the predictors of late-stage presentation.
Results
The proportion of late-stage presentation (Stages III and IV) decreased during 2013–2017 compared to the late stages during 2008–2012 (OR: 0.70, 95% CI: 0.60–0.80). Subsequently, late-stage presentation increased during 2013–2017 compared to 2018–2022 (OR: 0.80, 95% CI: 0.71, 0.91). Women who were divorced or widowed, unemployed, and lived in provinces distant from Lusaka were more likely to present with late-stage diagnoses, irrespective of the time period.
Conclusion
Although there was an initial decrease in late-stage diagnoses during 2008–2012 compared to 2013–2017, the trend reversed from 2018–2022. The increase in the proportion of late-stage presentations in 2018–2022 is probably due to lack of treatment availability and low visual inspection of the cervix with acetic acid (VIA) screening sensitivity. Increasing the accessibility and availability of cervical cancer treatment and educating the vulnerable and risk-groups about the importance of screening may lead to early detection and downstaging in Zambia and other low-income countries.
Cellular prion protein and calcium ions trigger the neurotoxicity of α-synuclein aggregates
Authors: Bigi Alessandra , Napolitano Liliana , Fusco Giuliana , De Simone Alfonso , Chiti Fabrizio , Cascella Roberta , Cecchi Cristina
Published: October 2024

α-Synuclein (αS) aggregation and deposition are associated with the onset and progression of Parkinson’s disease (PD) and other synucleinopathies. Here, we explored the role of the cellular prion protein (PrPC) in the cytotoxic cascade induced by αS prefibrillar oligomers and fibrils in human iPSC-derived dopaminergic neurons, primary rat cortical neurons and human neuroblastoma cells. Using high resolution confocal microscopy and both siRNA-mediated PrPC silencing and blockade with an anti-PrPC antibody, we showed that PrPC mediates the rapid recruitment of αS aggregates at the plasma membrane, resulting in massive Ca2+ influx and membrane permeabilisation, with only a minor contribution to the release of toxic oligomers from aS fibrils and the downstream events leading to cell death. aS aggregates neurotoxicity was largely associated with the presence of extracellular Ca2+, that directly promoted the cell membrane recruitment and penetration of αS oligomers inside neurons, allowing them to cause neuronal death after prolonged times of exposure with the cells.
First Report of Moxifloxacin-Induced Type II Kounis Syndrome: A Case Study and Comprehensive Literature Review
Authors: Chen Qiqi , Xu Junyue , Zhang Ming , Yang Yanna , Dai Lili , Niu Hongxia
Published: October 2024

Background Kounis syndrome is a distinct form of acute coronary syndrome that is precipitated by allergic or hypersensitivity reactions. Although this syndrome is infrequently observed in clinical practice, it can result in severe cardiovascular events and represents a significant threat to patient life when it occurs. Consequently, enhancing the understanding, diagnosis, and management of this condition is essential. We present a case of Type II Kounis syndrome induced by intravenous moxifloxacin. Case Summary A 71-year-old female patient with no prior history of coronary artery disease developed hypotension and chest pain thirty minutes after the intravenous administration of moxifloxacin. Electrocardiography revealed T-wave inversion in leads I and aVL, accompanied by elevated levels of troponin I. Coronary angiography indicated 80% stenosis in the mid-segment of the left anterior descending artery (LAD), 99% stenosis at the ostium of the diagonal branch, and localized 60% stenosis in the proximal segment of the left circumflex artery (LCx). Subsequent echocardiography demonstrated segmental wall motion abnormalities, with a left ventricular ejection fraction (LVEF) of 52%. The diagnosis was moxifloxacin-induced Type II Kounis syndrome, presenting as acute non-ST-segment elevation myocardial infarction. Conclusion Kounis syndrome is a potentially life-threatening emergency that necessitates prompt intervention. Although primarily documented in case studies, the actual incidence of Kounis syndrome may be underreported. Clinicians should remain vigilant for the possibility of allergic reactions in patients presenting with acute coronary syndrome (ACS). For patients with known allergies, particularly those suspected of experiencing systemic allergic reactions, it is crucial to monitor for cardiac symptoms, perform electrocardiograms, conduct cardiac enzyme tests, and, if indicated, carry out coronary angiography. Early recognition and appropriate management of Kounis syndrome can significantly enhance patient prognosis.
“All-in-One” Hall Rectenna Surpassing 100 GHz Bandwidth
Authors: Hu Weida , Hu Zhen , Pan Xiaokai , Ahammed Raihan , Zhang Ziteng , Wang Fang , Yin Bo , Zhang Libo , Wei Yingdong , Fei Fucong , Wang Zhijun , Ye Lei , Wu Xing , Song Fengqi , Xu Yang , Lu Wei , Agarwal Amit , Wang Lin , Chen Xiaoshuang
Published: October 2024

Current-carrying nonlinear electron transport in extrinsically doped PN diodes or junctions, leading to rectification and wave-mixing, forms the foundation of modern electronics and optoelectronics. However, these rectifiers and mixers face fundamental limitations in cut-off wavelength, frequency, sensitivity, and working temperature due to thermal-voltage thresholds and transit-time limits. Here, we demonstrate an “all-in-one” nonlinear Hall rectenna based on a type-II Weyl semimetal at room temperature, showing versatile electromagnetic conversion abilities arising from the band geometry and topology. It encompasses capabilities of a broadband frequency-comb exceeding the 27th order, subharmonic-mixing at extremely low power levels of -25 dBm, and tunable sideband bandwidth and intermediate frequency outputs surpassing 100 GHz and 27 GHz, respectively. Notably, the nonlinear Hall rectification shows superior performance with photonic frequencies extending over 0.8 THz. Our work provides unique pathways for developing ultra-compact, low-power Hall-rectenna by engineering the quantum geometry of Bloch wavefunctions, for next-generation terahertz communication, spectroscopy, and sensing applications.