bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Destructive Synergy Between IL-33 and Suilysin Hemolysis on Blood Brain Barrier Stability
Authors: Yang Fu , Jing jie , Liang Lei , Mengmeng Liu , Junjie Wang , Liancheng Lei , Hongtao Liu
Published: November 2023

Streptococcus suis type 2 (SS2) is a zoonotic pathogen capable of eliciting meningitis, presenting significant challenges to both the swine industry and public health. Suilysin (Sly), one of SS2 most potent virulence determinants, releases a surfeit of inflammatory agents following red blood cell (RBC) lysis. Notably, while current research on Sly role in SS2-induced meningitis predominantly centers on its interaction with the blood-brain barrier (BBB), the repercussions of Sly hemolytic products on BBB function have been largely sidestepped. In this vein, our study delves into the ramifications of Sly-induced hemolysis on BBB integrity. We discern that Sly hemolytic derivatives exacerbate the permeability of Sly-induced in vitro BBB models. Within these Sly hemolytic products, Interleukin-33 (IL-33) disrupts the expression and distribution of Claudin-5 in brain microvascular endothelial cells, facilitating the release of Interleukin-6 (IL-6) and Interleukin-8 (IL-8), thereby amplifying BBB permeability. Preliminary mechanistic insights suggest that IL-33-driven expression of IL-6 and IL-8 is orchestrated by the p38-mitogen-activated protein kinase (p38-MAPK) signaling, whereas matrix metalloproteinase 9 (MMP-9) mediates IL-33-induced suppression of Claudin-5. To validate these in vitro findings, an SS2-infected mouse model was established, and upon intravenous administration of ST2 antibodies, in vivo results further underscored the pivotal role of the IL-33/ST2 axis during SS2 cerebral invasion. In summation, this study pioneerly illuminates the involvement of Sly hemolytic products in SS2-mediated BBB compromise and spotlights the instrumental role and primary mechanism of IL-33 therein. These insights enrich our comprehension of SS2 meningitis pathogenesis, laying pivotal groundwork for therapeutic advancements against SS2-induced meningitis.
Enhanced mechanical, thermal, and erosion resistance properties via the synergetic effect of n-ATH/LMGP added ceramifiable silicone rubber composites for electrical insulation
Authors: J Manoj Dhivakar , Kornhuber Stefan , Sarathi Ramanujam
Published: November 2023

The present work is focused on investigating the mechanical, thermal, and electrical erosion resistance properties of newly developed silicone rubber composites with micro-size-low melting glass powder (LMGP) and nano-size alumina trihydride (n-ATH). Utilizing the fluorescent fiber, a new erosion testing method has been developed. The intensity of the signal generated from the fluorescent fiber explains the severity of damage caused by electrical inception followed by arcing and erosion. LMGP filler exhibits good thermal stability, arc resistance, and flame-retardant properties by forming a ceramic structure between ATH and silicone rubber matrix. With ATH/LMGP-filled hybrid samples, the formation of fire cinders is observed rather than flame formation in virgin silicone rubber samples at the time of erosion. Very little temperature rise is observed at the time of erosion with the LMGP-added samples. Compared to virgin material, the hybrid composite material shows a mechanical improvement of 13.03% in tensile strength and 12.47% in tear strength. The synergetic effect of the ATH and LMGP fillers enhances the thermal conductivity of the silicone rubber matrix by 59.34%. FEM studies revealed the basic understanding of the local hotspot reduction with the addition of high thermal conductive fillers and its effect on erosion resistance.
Improving the performance of a spectral model to estimate total nitrogen content with small soil samples sizes
Authors: Tang Weihao , Hu Wenfeng , Li Chuang , Wu Jinjing , Liu Hong , Wang Chao , Luo Xiaochuan , Tang Rongnian
Published: November 2023

The application of near-infrared spectrum spectroscopy (NIRS) for rapid quan titative analysis of soil total nitrogen (STN) is of great significance to recycling nitrogen in the ecosystem and crops growth. However, collecting thousands of soil samples and chemical annotation are impracticable, more importantly a deviation from NIRS advantages of rapid, costless and nondestructive. To improve the estimation performance and reduce uncertainty of the model under small sample sizes, new solutions from soil spectral data augmentation and model fusion were investigated. Specifically, 123 Latosols samples were collected, and decomposed by particle sizes to generate more data from multiple scales. Subsequently, based on the augmented data, multi-modal fusion methods were implemented. The results showed that the proposed method increased the scale of spectral data, mined more STN-related spectral information, improved estimation accuracy, and reduced uncertainty. The fusion model based on augmented data yielded optimal estimated results (root mean square error (RMSE) = 0.082g.kg−1) R2 = 0.779, and a ratio of performance to interquartile distance (RP IQ) = 3.428) on the validation set. In addition, we explored the impact of different model fusion strategies and proposed soil data augmentation method for estimating. From a 10-folds validation, the R2 cv of the weighted fusion model with using augmented data was increased by 0.285, and RP IQ was 1.015 improved than model constructed from conventional machine learning (ML) technique and pristine limited data (R2 cv = 0.432, RP IQ = 2.294). Therefore, in the scenario of using NIRS to build a rapid and accurate STN predictive models, the proposed method shows great potential in improving model reliability under small sample sizes.
Blade Optimization of Multi-Blade Centrifugal Fan: Experimental and simulation study
Authors: Zhao Hanqing , Li Yiping , Zheng Tongfu , Bao Ming , Huang Jiayu , Li Congcong , Zhao Jie , Zhang Kai
Published: November 2023

To overcome the technical challenges of the multi-blade centrifugal fan, such as low efficiency and insufficient total pressure, the single-arc blades of the fan were optimized and replaced in this study. The flow field of the multi-blade centrifugal fan with a single-arc blade and an airfoil blade was simulated and compared using Computational Fluid Dynamics (CFD). Under steady-state conditions, the total pressure, velocity field distribution, and aerodynamic performance of a multi-blade centrifugal fan were analyzed. The numerical results show that the presence of vortices, secondary flows, and boundary layer separation in the flow channel of a single-arc multi-blade centrifugal fan. Combined with the lift-to-drag ratio theory of aerodynamic airfoil, four different airfoil blades were selected for the multi-blade centrifugal fan. It can be found that the lift-to-drag ratio of the airfoil was positively correlated with fan efficiency. Furthermore, the airfoil blade can suppress the above phenomena in the flow channel and enhance the flowability of the blade flow channel. Verified experiments on airfoil effects showed a 3%-7% efficiency improvement in the multi-blade centrifugal fan compared to the single-arc blade. Additionally, the airfoil fan exhibited substantial enhancements in total pressure and power. These findings hold significance for guiding optimal fan design.
Modified capillary number to standardize droplet generation in suction driven microfluidics
Authors: Panwar Jatin , Roy Rahul
Published: November 2023

In droplet microfluidic devices with suction-based flow control, the microchannel geometry and suction pressure at the outlet govern the dynamic properties of the two phases that influence the droplet generation. Therefore, it is critical to understand the role of geometry along with suction pressure in the dynamics of droplet generation to develop a predictive model. We conducted a comprehensive characterization of droplet generation in a flow focusing device with varying control parameters. We used these results to formulate a scaling argument and propose a governing parameter, called as modified capillary number (CaL), that combines normalized droplet volume with geometrical parameters (length of dispersed and continuous phase channels) and flow parameters (interfacial tension, phase viscosity and velocity) in a power-law relationship. CaL effectively captures the transition from squeezing and dripping regimes of droplet generation, providing essential insights into the design requirements for suction-driven droplet generation. These findings are key to standardize microfluidic flow-focusing devices that can achieve the desired droplet generation behavior with optimal pressure consumption.
Mapping Stiffness Landscape of Heterogeneous and Anisotropic Fibrous Tissue
Authors: Chavoshnejad Poorya , Li Guangfa , Liu Dehao , Razavi Mir Jalil
Published: November 2023

Finding the stiffness map of biological tissues is of great importance in evaluating their healthy or pathological conditions. However, due to the heterogeneity and anisotropy of biological fibrous tissues, this task presents challenges and significant uncertainty when characterized only by single-mode loading experiments. In this study, we propose a new method to accurately map the stiffness landscape of fibrous tissues, specifically focusing on brain white matter tissue. Initially, a finite element model of the fibrous tissue was subjected to six loading modes, and their corresponding stress-strain curves were characterized. By employing multiobjective optimization, an equivalent anisotropic material model was inversely extracted to best fit all six loading modes simultaneously. Subsequently, large-scale finite element simulations were conducted, incorporating various fiber volume fractions and orientations, to train a convolutional neural network capable of predicting the equivalent anisotropic material model solely based on the fibrous architecture of any given tissue. The method was applied to imaging data of brain white matter tissue, demonstrating its effectiveness in precisely mapping the anisotropic behavior of fibrous tissue. The findings of this study have direct applications in traumatic brain injury, brain folding studies, and neurodegenerative diseases, where accurately capturing the material behavior of the tissue is crucial for simulations and experiments.
Antimalarial effect of ethanol extract of Parinari curatellifolia stem-bark in Plasmodium berghei-NK 65 infected mice
Authors: Michael Lomi Oruchukwu , Joshua Parker Elijah , Amah Christian Chijioke , Okoro Ikechukwu Jacob , Felix Joshua Ogah
Published: November 2023

Background
The use of Parinari curatellifolia for the management of malaria by Africans without scientific validation, prompted this study, to investigate the antimalarial effect of ethanol extract of Parinari curatellifolia stem bark (EEPCSB) in Plasmodium berghei (NK-65)-infected mice.
Method
Thirty mice (16–21 g) were grouped into six of five mice each. Group 1 (uninfected) served as normal control while groups 2–6 were infected. Group 2 (positive control) was untreated while group 3 (standard control) received 20/120 mg/kg b.w. of arthemeter/lumefantrine, groups 4–6 received 200, 400 and 600 mg/kg b.w. of EEPCSB respectively. The treatment lasted for four consecutive days. Parasitemia, heamatological and biochemical tests were carried out using established methods. The obtained data were analysed using one-way analysis of variance (ANOVA).
Result
The extract significantly (p < 0.05) suppressed the parasitemia, and produced significant (p < 0.05) increase in the PCV, RBC, and Hgb and a significant (p < 0.05) decrease in the WBC of groups 4–6 compared to the positive control. The liver function marker enzymes - AST, ALT, ALP, and total bilirubin were all significantly (p < 0.05) reduced in the treated animals, while there was a significant (p < 0.05) decrease in the total cholesterol, triacylglycerol and LDL, and a significant (p < 0.05) increase in the HDL of the infected animals compared to the positive control. While there was a significant (p < 0.05) reduction in lipid peroxidation marker MDA in the treated groups, the activities of the SOD and catalase, significantly (p < 0.05) increased compared to the positive control. The GSH concentration reduced significantly (p < 0.05) in the treated groups compared to the untreated group.
Conclusion
The extract showed excellent antimalarial effect by reducing parasitemia and reversing haematological and biochemical aberrations in Plasmodium berghei-infected mice as demonstrated in this study. Therefore, Parinari curatellifolia stem bark could be a source of lead compound for a novel and effective antimalarial drug.
Detection Method of Smart Meter Carrier Module Pin Based on Blob Analysis
Authors: Zhou Shuai , Zhang Jia , Luo Yong , 邢 家瑞
Published: November 2023

In order to achieve automatic detection of pin defects in smart meter carrier module, a machine vision detection method based on Blob analysis is proposed in this paper. Firstly, the interface region of carrier module is segmented using the maximum class variance method combined with perspective transformation. Secondly, a two-stage identification strategy based on Blob analysis is proposed to complete the rough positioning of the pins, which takes the distribution rules of the pins as constraint conditions. The spot is extracted by adaptive binarization strategy. Finally, the centroid method was used to calculate the spot center of the pin, which is registered with the template point set. The defect detection of the pin was completed according to the offset of each pin.
Experimental characterization of humerus bones with complex fracture patterns and fixation systems via laser vibrometry
Authors: Carboni Biagio , Guruva Sawan Kumar , Gumina Stefano , Candela Vittorio , Tirillò Jacopo , Sergi Claudia , Valente Teodoro , Lacarbonara Walter
Published: November 2023

This work discusses a comparative experimental investigation into specimens mimicking healthy humerus bones and fractured bones subject to an innovative surgery procedure and to a classical technique defined as the gold standard surgery. The new surgery technique consists in the installation of an external fixation mechanism (fixator) that constrains in defined positions a certain number of titanium slender bars inserted and clamped to the fractured bones according to different spatial patterns. The mechanical properties of the material constituting the artificial bones are obtained by means of compressive tests while a SEM imaging is employed to characterize the morphology of the fracture surface. A 3D laser vibrometer is employed to acquire the resonance frequencies and the associated operational deflection shapes of the specimens subject to piezoelectric actuation. The same experimental configurations are employed to acquire the mechanical waves propagating from the actuators across the surface of the bones. The analysis of the results provides insights into which configuration of the fixator performs better for a fast recovery using as references the healthy bones and the gold standard surgery. The experimental campaign paves also the way towards the adoption of advanced techniques employed for the mechanical characterization of materials and structures in biomedical applications with the additional aim of extracting data-driven models of the systems.
Malaria Notifications in Legal Amazon, Brazil (2003-2022): A Comprehensive Dataset for Research & Surveillance
Authors: Monteiro Kayo Henrique de Carvalho , Rocha Elisson da Silva , Neto Sebastião Rogerio da Silva , Maia Leonardo de Carvalho , Peterka Cássio , Dourado Raphael Augusto , Sampaio Vanderson Souza , Endo Patricia Takako
Published: November 2023

Background Malaria remains a significant threat to global health, with substantial economic and public health implications. In 2019, over 247 million cases of malaria were reported, resulting in 619,000 deaths. More than 42 million Brazilians are at risk of developing malaria, with cases concentrated in the Legal Amazon region (WHO, 2020). Malaria continues to be a major public health issue in Brazil.
Methods In this study, we focus on predicting malaria cases in the high-incidence region of Legal Amazon. Our investigation contributes in two main ways: by developing a comprehensive data preprocessing methodology for the SIVEP-MALARIA dataset and by providing the preprocessed dataset to enhance research reproducibility. Subsequently, we employ two machine learning models, SVR and Random Forest, to predict malaria cases in Legal Amazon states. Our analysis spans different states and malaria categories, assessing model performance using RMSE and MAE metrics.
Results The results indicate that the SVR model outperformed for the Vivax and Falciparum Malaria datasets. Random Forest exhibited superior performance in states and malaria categories with limited case notifications, providing accurate predictions even when no notifications were available.
Conclusions Evaluating each state individually and considering each malaria type is an approach for policymakers to tailor public policies according to each state's specific needs. Ongoing actions and innovative approaches are essential in the fight against malaria, where the integration of predictive tools leveraging epidemiological data stands out as a promising strategy to overcome this global challenge. Our findings point towards a potential path to malaria elimination in the Legal Amazon region.
Superlative ever in Dutch, French, German, and Spanish
Authors: Sailer Manfred , Lamoure Nicolas
Published: November 2023

The paper examines borrowed instances of what we call emphatic superlative ever (ES-ever) into two Germanic languages (Dutch and German) and two Romance languages (French and Spanish). We base our study on extensive corpus data. We model the data in three stages ranging from constructional borrowing (Stage-1: el coolest job ever ‘the coolest job ever’), via diaconstructions (Stage-2: la mejor canción ever ‘the best song ever’), up to lexical borrowing (Stage-3: las portadas más photoshopeadas ever ‘the most photoshoped portals ever’). We extend an earlier approach to social meaning in HPSG to borrowing.
The data extracted for this study is available at: https://osf.io/juewa/?view_only=215970c573d34b148815cc5653965697
Penerapan User Interface Design Pattern untuk Situs Web Katalog Seni Pertunjukan Indonesia
Authors: I Nyoman Marcel Mahardika  , Purwadi Joko , Susanto Budi
Published: November 2023

Seni pertunjukan memainkan peran penting dalam keragaman budaya Indonesia. Namun, masih belum banyak media yang mempublikasikan informasi terkait seni pertunjukan kedalam satu pusat informasi. Berdasarkan permasalahan yang dijelaskan, maka diperlukan situs web seni pertunjukan yang dapat menampilkan informasi terkait seni pertunjukan dan memiliki desain antarmuka yang baik.

Pada penelitian ini, dilakukan perancangan antarmuka untuk situs web seni pertunjukan dengan menerapkan pola desain antarmuka pengguna sebagai solusi dalam perancangan antarmuka. Untuk menghasilkan desain antarmuka yang dapat memenuhi harapan pengguna, digunakan metode User Centered Design (UCD) dalam melakukan proses perancangan antarmuka.

Hasil pengujian menunjukan bahwa desain antarmuka memiliki tingkat efektivitas dan efisiensi yang baik, dengan nilai efektivitas sebesar 97.85% dan nilai efisiensi sebesar 96.94%. Selain itu, pengujian situs web dilakukan menggunakan metode SUS yang mendapatkan tingkat kebergunaan untuk situs web seni pertunjukan sebesar 82.87. Dari hasil yang didapatkan mengindikasikan bahwa situs web seni pertunjukan dapat diterima dan digunakan dengan baik oleh pengguna.
Scale-free non-Hermitian skin effect in a boundary-dissipated spin chain
Authors: Wang He-Ran , Li Bo , Song Fei , Wang Zhong
Published: November 2023

We study the open XXZ spin chain with a PTPT-symmetric non-Hermitian boundary field. We find an interaction-induced scale-free non-Hermitian skin effect by using the coordinate Bethe Ansatz. The steady-state and the ground state in the PTPT broken phase are constructed, and the formulas of their eigen-energies in the thermodynamic limit are obtained. The differences between the many-body scale-free states and the boundary string states are explored, and the transition between the two at the isotropic point is investigated. We also discuss an experimental scheme to verify our results.
Quasi-particle functional renormalisation group calculations in the two-dimensional t-t'-Hubbard model
Authors: Rohe Daniel
Published: November 2023

We extend and apply a recently introduced quasi-particle functional renormalisation group scheme to the two-dimensional Hubbard model with next-nearest-neighbour hopping and away from half filling. We confirm the generation of superconducting correlations in some regions of the phase diagram, but also find that the inclusion of self-energy feedback by means of a decreasing quasi-particle weight can suppress superconducting tendencies more than anti-ferromagnetic correlations by which they are generated. As a supplement, we provide sample results for the self-energy in second-order perturbation theory and address some conceptual matters.
Codebase release 1.0 for Nevanlinna.jl
Authors: Nogaki Kosuke , Fei Jiani , Gull Emanuel , Shinaoka Hiroshi
Published: November 2023

We introduce a Julia implementation of the recently proposed Nevanlinna analytic continuation method. The method is based on Nevanlinna interpolants and inherently preserves the causality of a response function due to its construction. For theoretical calculations without statistical noise, this continuation method is a powerful tool to extract real-frequency information from numerical input data on the Matsubara axis. This method has been applied to first-principles calculations of correlated materials. This paper presents its efficient and full-featured open-source implementation of the method including the Hamburger moment problem and smoothing.
Sustainable synthesis of superhydrophobic textile filters for oil/water separation using biomass waste-derived Bio-Ag nanoparticles
Authors: Beagan A. , Chen C. , Mohamed M. E.
Published: November 2023

Separation of oil and water has become a daunting task at a global scale due to the frequent presence of industrial oily wastewater. This study describes the synthesis of a Bio-Ag nanoparticle and its utilization in fabricating superhydrophobic (SH) films on textile fibers for separating oil–water mixture. The Bio-Ag nanoparticles were prepared from grape seed extract. The study examined various aspects of the synthesized SH textile fiber, including its morphology, wettability, surface composition, chemical stability, mechanical stability, oil absorption capacity, oil–water separation performance, and flux rate. The results indicate that the developed Bio-Ag-based SH textile filter has excellent SH properties, with a low water sliding angle of 1° and a high water contact angles of 159°. The SH textile filter exhibited good separation efficiency, oil absorption capacity, and flux rate toward silicone oil, toluene, and petroleum ether. The SH textile filter also demonstrated satisfactory chemical and mechanical stability. The developed Bio-Ag-based SH textile filter has the potential to be an efficient material for oil–water separation applications.
Análisis en el dominio del tiempo de los mecanismo inherentes al Fenómeno de Estabilidad de Tensión en Sistemas de Potencia
Authors: Pessanha Jóse E. O. , Paucar V. Leonardo , Rider Marcos J.
Published: November 2023

En este trabajo se investiga la dinámica envuelta en los escenarios de inestabilidad de tensión usando como herramienta de análisis un programa computacional de estabilidad transitoria modificado. Esas modificaciones incluyen modelos de los equipamientos y de las cargas relevantes al fenómeno de estabilidad de tensión, sistemas de control de los transformadores con tap variable, limitadores de sobreexcitación de los generadores y un algoritmo de integración numérica de paso variable para simular fenónemos dinámicos en el largo plazo. Se enfatiza la eficiencia y utilidad del análisis dinámico al investigar los mecanismos involucrados en el proceso de colapso de tensión. La adopción de modelos dinámicos de las cargas permite identificar los parámetros críticos que permitirán el desarrollo e implantación de medidas correctivas y preventivas con la finalidad de garantizar una operación segura delsistema eléctrico. Se presentan los resultados de estudios computacionales realizados con un sistema de potencia de prueba real en el cual se identifican problemas de estabilidad de tensióny a partir de ellos se proponen medidas para mejorar la estabilidad de tensión del sistema.
Respuesta en Frecuencia Monofásica del Motor de Inducción para la determinación de sus parámetros eléctricos
Authors: Becerra Areválo Gilberto , Gutiérrez Paucar Agustín , Ochoa Jiménez Ismael
Published: November 2023

Este trabajo de investigación tiene como objetivo fundamental mostrar un nuevo método para la determinación de los parámetros del circuito equivalente del motor trifásico de inducción.Este nuevo método consiste en utilizar los resultados de la prueba monofásica como prueba base a frecuencia variable.La prueba monofásica se realiza utilizando voltaje y frecuencia variable provenientes de una fuente de potencia (Grupo Ward-Leonard). Palabras claves: Motor de Inducción, Prueba Monofásica, Circuito Equivalente, Parámetros.
Estandarización de la carga procesal de Poder Judicial de la República del Perú: Un enfoque factorial estructurado
Authors: Huamachumo de la Cuba Luis E.
Published: November 2023

El presente estudio propone que los estándares de carga procesal y producción judicial es el resultado de un proceso Input/Output (1/0), el cual, está determinado por la dotación de tecnología disponible y por los recursos humanos y materiales con los que cuenta la dependencia. Con la información estadística de la Gerencia General del Poder Judicial del año 2003 ha sido posible demostrar que los factores que explican los estándares de carga procesal en los juzgados civiles, laborales y de familia pueden resumirse en los factores Ubicación de la dependencia judicial (Sede de Corte/Fuera de Sede), y/o del Sistema Organizativo al que pertenecen De esta forma, mediante la aplicación de la técnica MANOVA estructurada se obtuvo los estándares observados en las mencionadas dependencias.
Diseño de Sistema Inalámbrico Wavepoint bajo Plataforma Linux
Authors: Muñoz Vara Eddie Raúl
Published: November 2023

El siguiente artículo desarrolla la implementación de un sistema que emplea el espectro ensanchado a través de tarjetas inalámbricas de la compañía Lucent Technologies (a 10 Mb/s). El objetivo principal fue establecer un enlace inalámbrico entre PC's con conexión a Internet. El servidorinalámbrico (wavepoint) fue implementado en plataforma Linux, para lo cual, fue necesario diseñar un driver que permita controlar uma Tarjeta Wave LAN. Los usuarios tienen la capacidad de trabajar en sistema operativo Windows o Linux. Los controladores para tarjetas inalámbricas en plataforma Linux tienen velocidades de 2 MB/s el cual, con el driver diseñado se llega a velocidades de 10 MB/s. Este sistema implementado en una computadora personal con requerimientos mínimos de hardware, se conoce como punto de acceso. Comercialmente lo produce la compañía Lucent Technologies y su nombre comercial es "WavePoint", cuyo costo se aproxima los 2,000 USD. El costo del dispositivodesarrollado tiene un precio de alrededor de los 750 dólares, con la misma funcionalidad. Uno de las pruebas importantes fue determinar las distancias máximas de operación del sistema, para comprobar que este es sistema es óptima a comparación de una tecnología de mayor costo.
Diseño e iplementación de un estimulador electrónico
Authors: Del Carpio Salinas Jorge , Romero Cacha Miguel Ángel
Published: November 2023

El proyecto se desarrollo dentro del marco y estándares que se tienen en el campo de estudios de la medicina; su arquitectura interna se diseño utilizando circuitos integrados compactos, tal es el casodel generador de señales ICL8038, quien proporciona tres tipos de señal de frecuencia variable, a esto se suma la implementación de una etapa amplificadora conformada por el CI STK086, quien mantiene la frecuencia y forma de señal a amplificarse. El estimulador electrónico implementado tiene la capacidad de generar tres tipos de señal eléctrica (senoidal, triangular y cuadrada) y a la vez estas tienen la características de variar su amplitud y frecuencia para de esta manera seraplicado a tejidos de organismos vivos y analizar su comportamiento fisico y eléctrico.
Un sistema de alimentación dual glp/gasolina de bajo costo para motores automotrices de pequeña cilindrada
Authors: Lira Cacho Guillermo , Condori Antezama Juan C.
Published: November 2023

En este artículo se presentan aspectos relacionados al diseño y cálculo de un nuevo sistema de alimentación de GLP para pequeños motores automotrices de encendido por chispa, con carburador, refrigerados por líquido, de hasta 800 cm' de cilindrada utilizando la fase vapor del GLP. Este nuevo sistema propuesto se caracteriza por su sencillez constructiva, seguridad y por su relativo bajo costo, que permite un trabajo económico, confiable y de bajas emisiones tóxicas del motor. Se muestran los cálculos del regulador-osificador, y para el diseño del mezclador aire/gas, el cual se instala en serie con el carburador del motor para que éste pueda trabajar en forma dual. Un aspecto peculiar de este sistema es la presencia de un pequeño intercambiador de calor que utiliza el agua caliente del sistema de enfriamiento del motor para compensar el enfriamiento del vapor de GLP, por el efecto Joule - Thompson, al reducirse la presión del GLP a través del sistema, y así evitar eventuales obstrucciones. También, se presentan algunos resultados experimentales de pruebas de campo, mostrando de forma comparativa la economía de combustible.
Optimización e implementación de un sistema reconocedor de rostros
Authors: Del Carpio Salinas Jorge Alberto , Huamán Layme Jose Antonio
Published: November 2023

Los Sistemas de seguridad controlados por características de tipo biométrico experimentan un creciente interés frente a alternativas tradicionales. Este éxito se debe en gran medida a que, cuando una persona pretender acceder a un sistema, la decisión se toma en ase a características específicas de esa persona, y no en base a lo que se conoce o a lo que posee (Tarjetas magneticas, claves, etc); En los últimos años e gran desaroollo de los isstemas de información unido al barcamiento y masificación de computadoras y sensores ha porvcado un creciente interés por sistemas que permitan establecer la identidad de un individuo en forma automatizada. Frente a esto, en este trabajo se describe e implementa un reconocedor de rostos utilizando las técnias más exitosas en el campo de la biometría basadas en métodos Estadísticos como son: Descomposiciones del tipo Eingenface y Modelo Oculto de Markov Embebido (HMME). El primer método genera una representación lineal reducida de las imágenes de rostros de manera que cada rostro sea proyectado en un espacio de dimensionalidad reducida donde se llavara a cabo el reconocimiento. El segundo método genera un modelo de estados. Para ello se ha empleado una base de datos de rostros obtenida con estudiantes de la Universidad Nacional de Ingeniería UNI, una cámara, una tarjeta digitalizadora y el sistema se implemento casi en tiempo real empleando el C++
Assessment of a Person's Social Success Through the Characteristics of Interpersonal Relationships in A Virtual Environment
Authors: Shevcov Aleksey , Ustin Pavel , Popov Leonid , Gafarov Fail , Vakhitov Galim
Published: November 2023

The sudden spread of the COVID-19 pandemic has convincingly proved the role of social networks in human life activity as an actor of interpersonal relations. The need for isolation and the limitation of face-to-face communication between people has significantly transformed the system of interpersonal connections through an extensive increase in social contacts in the virtual environment and the growing importance of online social services. In the study, we addressed the problem of diagnosing the indicator of social success of a personality, reflecting characteristics of its interpersonal relations in offline activity through the attributes of its virtual activity in social networks. The research was based on the methods of social network analysis and traditional ways of psychodiagnostics. Social networks were analyzed using social graphs - mathematical models that describe the characteristics of relationships between users in social networks through various metrics (friends, elements, edges, density, closeness centrality, degree centrality, clustering coefficient, etc.). The study aims to prove the predictive validity of social graph indicators as predictors of personality social success through correlations of graph characteristics reflecting the features of interpersonal relations of a social network user in a virtual environment with the socio-psychological hands of traditional psychodiagnostic tools. The study included 601 subjects. Data was collected using psychological questionnaires and personal profiles from the social network VKontakte. The results of the study showed correlations between several characteristics of social graphs (density, clustering coefficient, closeness centrality, etc.) and several indicators of psychodiagnostic techniques (Dominance index in relationships with others, Organizational abilities, Desire for people, Narcissism, etc.). The significant contribution of the research is to expand the methodological apparatus of psychological science and to open new methods of predicting interpersonal relations of personality through its activity in a virtual environment.
La violencia mediatizada. Entre la legitimación y la resignificación de prácticas policiales violentas durante la pandemia por COVID-19 en Argentina
Authors: Calzado Mercedes Celina , Fernández Mariana Cecilia
Published: November 2023

El objetivo de este artículo es analizar cómo las imágenes divulgadas por los medios de comunicación de la Ciudad de Buenos Aires presentaron las intervenciones violentas de las fuerzas de seguridad en el contexto de la pandemia por COVID-19. Para comprender este proceso se revisan un conjunto de casos cubiertos en 2020 por portales de medios gráficos (en versión digital, hegemónicos y alternativos) y de noticieros televisivos de la ciudad de Buenos Aires. El artículo se interroga sobre el sentido de lo violento de las imágenes durante la pandemia, sus legitimaciones y resignificaciones. Algunos resultados revelan que, durante la primera parte de la pandemia, los medios difundieron imágenes de hostigamiento y violencia letal protagonizadas por personal policial mediante el empleo de fuentes ciudadanas (videos tomados por testigos de los hechos) y cámaras de seguridad como modo de denuncia moral y política, de las prácticas policiales. Cuando las medidas de aislamiento disminuyeron, los medios analizados ampliaron el uso de fuentes policiales y las imágenes de violencia mediatizadas tendieron a declinar, así como también el carácter de denuncia.
Clientelismo y crimen organizado en tiempos de COVID-19: la injerencia de grupos criminales en las elecciones locales en México (2020-2021)
Authors: Cobilt Cruz Elizabeth , Díaz Sandoval Mariela
Published: November 2023

La crisis provocada por la pandemia del COVID-19 evidenció la fragilidad institucional a nivel mundial, más aún en los países latinoamericanos. En este sentido, los cierres temporales y las medidas de contención para aminorar la pandemia afectaron principalmente a los trabajadores de bajos ingresos e informales. Ante este contexto, el objetivo de este artículo es analizar las particularidades del intercambio clientelar llevado a cabo por integrantes del crimen organizado en el contexto del Proceso Electoral 2020-2021 en México. La evidencia muestra que algunas organizaciones del crimen organizado repartieron diferentes apoyos económicos o en especie, fenómeno que tuvo lugar principalmente a nivel local.
Fabrication and Experimental Investigation of Composite Pressure Vessel
Authors: Reddy Y. Srinivasa
Published: November 2023

Abstract: Composite pressure vessels are an important type of high-pressure containers that are widely used in aerospace industries. The pressure vessels develop hoop stresses that are twice the longitudinal stresses. CFRP (Carbon Fiber Reinforced Polymer) composite materials with their higher specific strength and characteristics will result in reduction of weight of the structure when compared with isotropic materials like steel. The present work is aimed in understanding the behaviour of the Composite Pressure Vessel with variation of internal pressure. In this connection, a pressure vessel using CFRP (Carbon Fiber Reinforced Polymer) is fabricated which can hold liquids or gases under pressure and is tested at various pressures. The FEA tool ANSYS 14.5 is used to determine better fiber angle required for liquid storage, when the conventional low carbon steel cylinder is replaced with CFRP Pressure Vessel.
Efficient Backend Development with Spring Boot: A Comprehensive Overview
Authors: Hubli Sushmita C. , Jaiswal Dr. R. C.
Published: November 2023

Abstract: This journal paper provides a comprehensive exploration of Spring Boot, a highly sought-after framework in contemporary web application development. It begins by introducing Spring Boot's core concepts, architectural principles, and its capacity to reduce redundant coding efforts. The paper delves into various facets of backend development, focusing on data storage through Spring Data JPA, as well as its adaptability to relational databases. Spring Boot's proficiency in simplifying data source integration and providing efficient data access tools is emphasized. Serving as an invaluable resource, this paper offers developers insights into Spring Boot's pivotal features, benefits, and best practices for crafting scalable, maintainable, and robust backend systems in the ever-evolving landscape of web applications
The Effectiveness of Using Dubbing and Subtitle Methods on Mastering Arabic Vocabulary for Class XI MAN 1 Ponorogo Students | Efektivitas Penggunaan Metode Dubbing dan Subtitle Terhadap Penguasaan Kosakata Bahasa Arab Siswa Kelas XI MAN 1 Ponorogo
Authors: Nurul izzah amir
Published: November 2023

This research is to find out the effectiveness of using dubbing and subtitle methods on Arabic vocabulary. The purpose of this research was to determine students' Arabic vocabulary before and after the dubbing and subtitle methods were applied. The research method used is a quasi-experiment with a one-group pre-test post-test design. The sample of this research was 72 students of class XI MAN 1 Ponorogo. Based on the results of data analysis before being given treatment, the average value of students was 45.76 while after being given treatment was 77.01. This means that there is an increase of 31.25. In the Wilcoxon test, a significance level/p value of 0.001 is obtained, if the Asymp.Sig. (2-tailed) smaller than < 0.05 then Ha is accepted. This shows that there is a significant difference between the pretest scores and posttest scores. This means that there are differences in Arabic vocabulary mastery of class XI MAN 1 Ponorogo students before and after using the dubbing and subtitle method.
Scene effects on disgusted facial expression detection in individuals with social anxiety: the role of emotional intensity
Authors: He Siyu , Zhao Ruonan , Li Chieh , Hui Lihong , Dong Shubo , Xu Cai , Cui lixia
Published: November 2023

Individuals exhibiting high social anxiety (HSA) typically encounter
challenges in identifying threatening stimuli with varying levels of
intensity in different social scenes, ultimately affecting their social
interactions. However, it is not well understood how social scenes and
emotional intensity and their interaction influence the recognition of
threat stimuli among HSA individuals (HSAs). To address this issue, a
face recognition task was administered to 20 HSA participants and 22
individuals exhibiting low social anxiety (LSA) in this study. Results
indicated that during the stage of social scenes presentation, HSAs
produced larger P2 amplitude than LSA individuals (LSAs) no matter the
valence of the scenes, and during the stage of face recognition, HSAs
had smaller N170 amplitude than LSAs and exhibited lower recognition
time for 2% disgusted faces compared to LSAs. Furthermore, the
consistency between scenes and faces led to faster recognition of
disgusted faces in HSAs, but not in LSAs. Consequently, our findings
suggested that HSAs recognizing faces were influenced by social scenes
and invested too many cognitive resources in the scene presentation
phase, which led to insufficient resources when performing the face
recognition task. However, the emotional congruence of the scene and the
faces could facilitate the recognition of faces by HSAs.
Molecular Markers for Fish Identification and Conservation: A Systematic Review
Authors: Erarto Felegush , Mingist Minwyelet , Zelalem Wondie , Kibret Mulugeta , Steenberge Maarten Van , Vocht Alain De
Published: November 2023

This systematic review aimed to generate comprehensive information on
the effectiveness of molecular markers for fish identification and
conservation. Four stages were used for its execution: article
identification using search directories and Boolean operators, screening
all available papers, evaluating eligible articles and data extraction.
Based on the analysis, mitochondrial markers, microsatellite markers,
random amplified polymorphic DNA (RAPD) markers, sequence-related
amplified polymorphism (SRAP) and single nucleotide polymorphism (SNP)
markers are identified as the most frequently used markers.
Molecular-based fish identification is the most accurate, trustworthy,
reproducible and efficient technique Its effectiveness also depends on
the type of molecular marker employed, the DNA sample’s quality and
quantity, the fish population’s genetic diversity, the presence/absence
of contaminants and the types of tissue and preservatives. The precise
research topics that researchers are interested in addressing determine
which molecular marker should be used.
Effects of an inpatient rehabilitation programme on functional capacity, quality of life and psychological distress in patients with post covid-19 condition: an observational study
Authors: Graf Daniel , Gschwenter Stefan , Kuzdas-Sallaberger Marina , Reiger Gabriele , Edlmayer Alexandra , Felder David , Klausberger Hermine , Wagner Katharina , Skoumal Martin
Published: November 2023

Objectives: To examine changes in functional capacity, health-related quality of life and psychological distress in patients with post-COVID-19 condition following a multidisciplinary rehabilitation programme. In addition, to explore whether additional respiratory muscle training for more impaired patients might support their recovery process.
Design: Retrospective observational cohort study.
Patients: A total of 779 patients with post-COVID-19 condition (47.9% female, mean age 56.6 years).
Methods: Measures assessed were: 6-minute walk test (6MWT), 5-level EQ-5D (EQ-5D-5L) including EQ Visual Analogue Scale (EQ-VAS) and Patient Health Questionnaire-4 (PHQ-4). Data were provided pre- and post-rehabilitation from 2 cohorts: (i) patients participating in a regular multidisciplinary rehabilitation programme; and (ii) patients receiving additional respiratory muscle training due to an initially greater level of impairment. Dependent t-tests and general linear mixed models were used for data analysis.
Results: A series of dependent t-tests revealed mean overall improvement for both groups in 6-minute walk test distance (6MWD), EQ-5D-5L index, EQ-VAS and PHQ-4 following the rehabilitation programme. General linear mixed models showed significant interaction effects between groups and time for the EQ-5D-5L index and 6MWD.
Conclusion: A multidisciplinary rehabilitation programme appears to have a beneficial impact on the recovery process of patients with post-COVID-19 condition.
Encryption of text messages using multilayer neural networks
Authors:   Institute of Technical Engineering the State Higher School of Technology and Economics in Jarosław, Brygilevych Volodymyr , Pelypets Nazar ,   Department of Sensory and Semiconductor Electronics Ivan Franko National University of Lviv, Rabyk Vasyl ,   Department of Radio Physics and Computer Technologies Ivan Franko National University of Lviv
Published: November 2023

The article considers an algorithm for encrypting / decrypting text messages using multilayer neural networks (MLNN). The algorithm involves three steps: training a neural network based on the training pairs formed from a basic set of characters found in the text; encryption of the message using the weight coefficients of the hidden layers; its decryption using the weight coefficients of the output layer. The conditions necessary for successful encryption / decryption with this algorithm are formed, its limitations are emphasized. The MLNN architecture and training algorithm are described. The results of experimental research done by using the NeuralNet program are given: training the MLNN employing the BP (Sequential), BP (Batch), Rprop, QuickProp methods; an example of encrypting / decrypting a text message.
Step-continuous phase power control of multi-section resonant inverter
Authors:   Ternopil Ivan Puliui State National Technical University, Lupenko Anatoliy
Published: November 2023

The method of step-continuous phase power control of a multi-section resonant inverter on the basis of parallel connection of half-bridge inverter sections is proposed. Step power change consists of the commutation of synchronized step-controlled sections and continuous power control at power intervals between commutations is realized by the phase shift of pulses of a continuous-controlled section relative to the pulses of step-controlled sections. Such control provides the increase in inverter efficiency at the medium and low power levels, a wide power control range and constant inverter operation frequency.
Proposed Capability Indices Based on Robust Estimation Compared with Classical Capability Indices
Authors: Kadir Dler H. , Rahim Alan G. , Jamil Dashty I. , Saleh Dlshad M.
Published: November 2023

A process capability study is a scientific and systematic procedure that uses control charts to detect and eliminate the unnatural causes of variation until a state of statistical control is reached. On the other hand, in order to meet the quality requirements of the final product, quality should be achieved at every stage of production. Another way of achieving good quality during production is to use statistical techniques at every stage of production. The purpose of this research is to apply it to process capacity indices in replace of the standard deviation estimator. The information, which is taken from the Coca-Cola/Erbil production process, illustrates the qualities of the beverage (750 ml). A Coca-Cola product's 100 observations are divided into 25 models. Employed both the standard deviation estimator-based and the robust Downton estimation-based process capability indices. It was determined that in this inquiry, the robust Downton estimation had better qualities than the standard division estimator because the robust Downton estimation process capacity index values were greater.