bluuebunny/crossref_metadata_2025 huggingface dataset:
Exosome-Mediated lncRNA LINC01140 Attenuates Breast Cancer Progression by Regulating the Wnt/β-Catenin Pathway
Authors: Guo Zhe , Li Yang , Li Wenhuan , Li Hai , Wu Zhiyong
Published: May 2023

Exosome-delivered long non-coding RNAs have a role in the cancer control. It is unknown how exosomal LINC01140 contributes to the breast cancer (BC) growth. The purpose of this investigation is to identify exosomal LINC01140's function in the development of breast cancer. Using quantitative reverse transcripion polymerase chain reaction, the expression of LINC01140 was measured. To investigate how LINC01140 overexpression impacts BC cell proliferation, CCK-8 as well as colony formation assays (CFA) were employed. The expression of apoptosis-related proteins (Bax and Bcl-2) and Wnt/β-catenin signal pathway-related proteins (Wnt, C-myc, β-catenin, and p-GSK-3β) was assessed through Western blotting. Exosomes from BC cells were verified by western blotting to measure CD63 and CD9 levels. To examine how exosomal LINC01140 affects Wnt/β-catenin signaling pathway and xenograft tumor in nude mice, BC cell exosomes that were overexpressing LINC01140 were obtained and co-cultured with BC cells. In BC, it was discovered that LINC01140 had poor expression. BC cell proliferation was inhibited by overexpressing LINC01140, and the levels of the proteins Bcl-2, β-catenin, C-myc, and Wnt were lowered while Bax and p-GSK-3 were increased. In addition, exosomal LINC01140 hindered the activation of the Wnt/β-catenin signaling pathway, leading to a decrease in the growth of breast cancer cells in vivo. The presence of exosomal LINC01140 impedes the initiation of Wnt/β-catenin and reduces the cancerous characteristics of BC cells.
Effect of Adapted Physical Activity in Children and Young Adults with Cerebral Palsy: A Systematic Review
Authors: Selfo Ornisa , Katsamagka Eleni , Allushaj Altea , Dimitriadis Zacharias , Chandolias Konstantinos , Besios Thomas
Published: May 2023

Cerebral palsy (CP) is considered the most common cause of disability in childhood. People suffering from CP are characterized by deficits that limit their abilities and make it difficult to perform daily activities. The application of adapted physical activity (APA) physiotherapy programs has interested many researchers over the years. This systematic review aimed to examine and evaluate the existing evidence on the effects of various APA in different domains of life of children and young adults with CP. The review will fill the existing knowledge gaps in the literature, offer suggestions for future research, and build evidence-based practices in APA for people with CP. The PRISMA guidelines were followed. The research was conducted by searching several scientific databases, including PubMed, Google Scholar, ResearchGate, and science direct. The inclusion criteria consisted of randomized controlled trials published from 2015 to 2021, full text in the English language, and a sample aged (15-30 years) with a medical diagnosis of CP. Studies that used adapted physical activity (APA) interventions were also included as long as they matched the predetermined standards. The methodological quality was assessed according to the PEDro scale. A total of 14 studies met the inclusion criteria. The samples covered all levels of the gross motor function classification system (GMFCS I-V) with an age range of 16–29 years and both genders. The results showed diversity and improvements in various health parameters of children and young adults with CP. APA significantly affects the motor and psychosocial status of young people with CP and may function as a therapeutic supplement in the existing physiotherapy programs.
GAS-LIQUID FILM DISTRIBUTION AND SEPARATION OF CONDENSATION FROM A DOWNWARD-FLOWING STEAM-NONCONDENSABLE GAS MIXTURE ONTO A HORIZONTAL TUBE AT SUBATMOSPHERIC PRESSURE
Authors: Wang Jingran , Liu Fang , Lu Junhui , Cao Fengyan , Wang Suilin , Liu Yanyan
Published: May 2023

Based on the boundary layer, a mathematical model was established to investigate the thicknesses of liquid and gas films and the steam condensate distribution in the presence of noncondensable gas outside a horizontal tube at pressures lower than atmospheric pressure. The model accurately predicts the steam condensation heat transfer with noncondensable gas. The influences of the noncondensable gas mass fraction, pressure, velocity, and surface subcooling upon the condensation heat transfer, the thicknesses of liquid and gas films, and condensate distribution around the horizontal tube have been studied. The liquid film thickness rises as the surface subcooling raises but reduces with raising pressure and mass fraction of noncondensable gas. The gas film thickness rises with rising surface subcooling and noncondensable gas mass fraction, reducing as the pressure rises. The thicknesses of gas and liquid films and condensate distribution significantly affect the local heat transfer. The liquid film separation velocity reduces with raising pressure, surface subcooling, and mass fraction of noncondensable gas, which is most influenced by pressure.
THE DIFFERENTIATED FEEDBACK FRAMEWORK: AN AUTOETHNOGRAPHICANALYSIS OF ONLINE ENGAGEMENT AND CREATING COMMUNITY
Authors: Chernosky Jeff , Keever Isabelle
Published: May 2023

Realizing that after the COVID-19 pandemic learner and faculty engagement is even more critical to learning-as evidenced by ongoing declines in post-pandemic post-secondary enrollment-this paper presents a series of reflections and experiences from the perspective of a student and faculty member. These experiences are understood through an autoethnography, resulting in the creation of a feedback framework fostering community in online environments. Through self-study, critical reflection of educational theory with practice,and lived experiences, both the student and faculty member describe the formative steps leading to the adaptive creation and implementation of community in the online learning setting. The pandemic, coupled with an intentional shift to a new learning management system(LMS), underscored the criticality of adaptations in teaching and learning. The resulting framework is a model for emphasizing the connection between technology, community, and appreciative andragogy.
The Support Vector Regression with L1 Norm: Application to Weather Radar Data in Adjusting Rainfall Errors
Authors: OZKAYA Arzu , YILMAZ Asım Egemen
Published: May 2023

In hydrological research, accurate rainfall data is the primary subject for the minimization of potential loss of life and property that is mainly caused by floods. However, there is a difficulty in getting precise rainfall data for poorly gauged locations, especially in mountainous areas. Weather radar instruments can be the remedy accompanied by some errors. And, these errors should be removed before the implementation of this product. This paper presents the results of the research on radar rainfall estimate errors with support vector regression (SVR) method using the observed rain gauge data. The paper depicts the methodological base of the algorithm that covers additive and multiplicative corrections and the results of practical implementations considering the locations of gauge measurements. The preliminary results show that the SVR has a location-oriented performance. The multiplicative and additive correction factors show decreasing and polynomial trends respectively, as the distance from the radar location increase. Another particular outcome is that the SVR shows better results for the stations located in the mid-range (mainly for 40-60 km) contrary to the nearest ones. Since the systematic error in the radar data is nonlinear, the SVR method would show a promising result with a combination of other optimization techniques.
Analyses of Chemical and Physical Egg Quality Parameters of Laying Hens Housed in Different Conditions in Turkey
Authors: UYSAL AFACAN Reyhan Selin
Published: May 2023

The aim of the present study is to determine the content of chemical and physical quality parameters of hen eggs (liquid whole egg (LWE), liquid egg yolk (LEY), and liquid egg white (LEW)) produced for different housing and feeding conditions in Turkey. Chemical quality parameters (protein, lipid, and moisture) and physical quality parameters (total soluble solid (°Brix), pH, conductivity, and yolk:white ratio) were analyzed using different egg samples. Kjeldahl, wet ashing, and oven-drying official methods were used for the protein, total lipid, and moisture analyses of egg samples. The highest protein content in the LEY and LEW samples were found to be 19.0% and 15.13%, respectively for the tenth sample having fortified feeding (selenium+DHA) parameters. For LWE samples, it was also obtained 15.65% with the second sample having a not fortified feeding parameter. The highest total lipid content for LWE samples was determined as 10.43% for the seventh sample which housed under cage free conditions and fed with organic (omega3+EPA+DHA) fortifiers, while it was found with a value 25.7% for the second and third LEY samples possessing a not fortified feeding parameters. The highest moisture content was determined as 78.37%, 54.64%, and 89.11 for thirty-first LWE sample (with not fortified feeding), third LEY sample (with not fortified feeding) and sixth LEW sample (having cage free and organic parameters), respectively. As a result, the minimum, average, and maximum contents of the chemical and physical quality parameters were determined for laying hen eggs raised in several housing and feeding conditions in Turkey.
Application of Soft Computing Techniques in River Flow Modeling
Authors: YESİLYURT Sefa Nur , DALKILIÇ Hüseyin Yildirim , SAMUI Pijush
Published: May 2023

Modeling of data is critical in the analysis and evaluation of hydrological behavior. River flow data is one of the most important data in explaining hydrology. Management of water resources; It takes place in the literature as an area that needs to be investigated in order to provide early warning for undesirable situations such as floods and drought. For this reason, it is of important to develop different techniques for the estimation and modeling of river flow or to make comparisons between techniques. In this study, the flow data of fourteen stations located in the Euphrates-Tigris basin between 1981 and 2010 were used. Adaptive Network Based Fuzzy Inference Systems (ANFIS), Support Vector Machine (SVM) techniques that are frequently used in the literature, and newly introduced Gaussian Process Regression (GPR), Extreme Learning Machine (ELM) and Emotional Neural Network (ENN) artificial intelligence techniques are compared. In addition, considering all performance indices, it was determined which technique gave better results with rank analysis. Although all models worked well, it was seen that the methods were ranked as ELM, GPR, ENN, SVM and ANFIS starting from the best. This has shown that ELM, GPR and ENN methods, which have been used recently in flow modeling, give better results than traditional methods with complex structures. In addition, flow values were used in the whole study and these values were examined in 3 different combinations. It was seen that the model structure that gave the best performance was the model structure that used the flow data from one, two and three days ago as an estimator. The results were analyzed with a Taylor diagram and time series graphs.
Comparing the Shielding Features of Graphene and Impregnated Activated Carbon with Selected Traditional Shielding Materials For Gamma-Rays
Authors: İCKECAN Dilara , NUREDİN Türkan , ERBAHAR Doğan , GÜLBİÇİM Hasan
Published: May 2023

Graphene and carbon-based materials are widely used in daily life applications. The richness of optical and electronic properties has made them rapidly rising materials on the horizon of material science and condensed matter physics. Having the sheets of atoms stacked in disorganized manner makes activated carbon different from other forms of graphitic structures. The research about the shielding properties of reduced graphene oxide (RGO) and activated carbon for gamma-rays are very rare and active domain of study. Since the use of radioactive sources in different fields (nuclear industry, shielding materials, radiation biophysics and space research application, etc.) has been increasing expeditiously, the photon interactions with matter have gained importance in the world of material science technology. In this work, we review the basics of the impregnated activated carbon (AC) and RGO, as well as the relationship between the structures and the gamma shielding properties in terms of both quality and efficiency. XCom software and EGSnrc simulation code were used to obtain the theoretical values of various shielding parameters which are significantly important to be able to understand the shielding properties of AC and RGO for gamma-rays. We report the mass attenuation coefficients (μm), the half value layer (HVL), the tenth value layer (TVL), and the mean free path (MFP) values and compare them with other commonly used shielding materials like lead, borosilicate, concrete, and vermiculite. The calculated data showed that AC is very appropriate and consistent to be one of the candidates for shielding materials of gamma-rays even though the graphene is seen as inconsistent for such purpose.
The Effect of Anisotropic Gaussian Schell-Model Sources in Generalized Phase Space Stokes Parameters
Authors: ŞAHİN Serkan
Published: May 2023

Phase-space transforms describe spatial and angular information about light sources where one example is the Wigner functions in wave optics. Stokes parameters, on the other hand, supply information about the polarization of light beams. The generalized phase space Stokes parameters of 2D stochastic electromagnetic beams are already developed. In this article, the application of anisotropic light sources in generalized phase space Stokes parameters is theoretically investigated and numerically analyzed. There are several different ways of studying electromagnetic light beams depending on the spatial domain. But, most measure of the polarization of random light fields is carried out within the Stokes parameters context. In this account we study the electromagnetism, Stokes parameters, phase space, and the anisotropy properties of random light beams at once. We find here that when an anisotropy introduced in phase space then the cross terms of the Wigner matrix depart from the diagonal terms, which is not the same in configuration space. As a result, anisotropy has a different effect in Phase space, i.e. an anisotropic source introduces a phase and a variance change only in the cross terms of Wigner matrix. This is due to the use of anisotropy in the shifted kernel of Wigner transform.
Application of Classical Fenton Process and Advanced Photo Electro Fenton Process for the Degradation of COD from Wood Processing Wastewater: A Comparative Study
Authors: SOLAK Murat
Published: May 2023

In this study, Chemical Oxygen Demand (COD) removal efficiency from wood processing wastewaters by Fenton Process (FP) and Photo Electro Fenton Process (PEFP) were examined. Important operating parameters such as pH, Fe+2 concentration/(amper for PEFP), H2O2 concentration and reaction time were optimized. Optimum operation conditions of the FP were pH 3.5, 1.4 gr/L Fe2+ concentration and 50 gr/L H2O2 concentration and 150 min. reaction time while they were pH 3.00, 9.99 mA/cm2 current density and 70 gr/L H2O2 concentration and 150 min reaction time in PEFP. At the optimum conditions, COD removal efficiency of FP and PEFP was 91% and 99%, respectively. Sludge production of FP was 20% higher than PEFP at the optimum conditions.
The Effect of Mg Content on the Physical Properties of ZnO Films Deposited by Ultrasonic Spray Pyrolysis
Authors: SARICA Emrah
Published: May 2023

ZnO is a versatile material and tailoring its physical properties to the field of application is technologically crucial. Intentionally doping with a foreign element is the most common and useful method for that. In this presented work, ZnO films doped at different Mg concentrations (0%, 5%, 10%, and 15%) were deposited onto glass substrates by ultrasonic spray pyrolysis in order to investigate the effect of Mg doping. AFM and SEM images captured for the morphological investigations revealed that Mg doping deteriorated the surface of the films. The structural analysis showed that the Mg doping at 5% enhanced the structural properties, but the crystallization level was adversely affected at higher Mg concentrations. Optical band gap and Urbach energies increased from 3.30 eV to 3.45 eV and from 79.5 meV to 119.8 meV, respectively. The lowest electrical resistivity was noted as 8.72101 cm for Mg-doped ZnO films at 5%.
Effect of Various Cross-Sections on the Flexural Behaviour of Composite Beams
Authors: YİĞİT Ece , SAKLAKOĞLU Nurşen
Published: May 2023

This study investigated the influence of various cross-sections on the flexural properties of composite beams. Within the first stage of the paper, a finite element model represented the standard three-point bending test of a composite beam was developed. The model was correlated by mesh dependency analysis and a three-point bending test. After model correlation was completed, composite beam models with 6 cross-sections were generated as CAD data and imported to the correlated finite element model. As a result of the studies, it has been determined that the F profile is the most unstable profile compared to other sections, and the D profile is the most durable profile.
Comparison of essential oils and secretion structures of Rosa damascena Mill. grown in Iğdır and Isparta (Turkey)
Authors: YUCA Hafize , TEKMAN Enes , CİVAŞ Ayşe , KARAKAYA Songül , ÖZTÜRK Gözde , DEMİRCİ Betül , KARACA Allahverdi , GÜVENALP Zuhal
Published: May 2023

The paper aims to compare the chemical compositions of essential oils and anatomical properties of secretory structures differences between R. damascena which is cultivated in Iğdır and Isparta (EOI1, EOI2, and EOIg). GC/ MS and GC-FID were utilized for essential oils analysis. Nonadecane (31.0%), heneicosane (21.1%), citronellol (16.8%), and 1-nonadecene (6.2%) were primal constituents of EOI1. Nonadecane (29.3%), heneicosane (17.6%), citronellol (18.6%), 1- and nonadecene (5.4%) were primal constituents of EOI2. Heneicosane (15.2%), nonadecane (14.1%), γ-muurolene (13.0%), citronellol (7.8%), and tricosane (8.5%) were primal constituents of EOIg. Both Isparta and Iğdır sepal cross-section anatomies glandular and non-glandular trichomes were observed.
Prototipo electrónico BlindTI como herramienta de aprendizaje para niños en condición de discapacidad visual
Authors:   Universidad Cooperativa de Colombia, Pulido Deiber Andrés Aldana , Quintero Pedro Alberto Arias ,   Universidad Cooperativa de Colombia, Reina Fredy Angarita ,   Universidad Cooperativa de Colombia
Published: May 2023

La investigación tuvo como objetivo desarrollar el prototipo electrónico BlindTI como herramienta de aprendizaje para la formación de Tecnologías emergentes para niños con discapacidad visual, con un enfoque en la algoritmia. En el proyecto participaron niños con limitaciones visuales y sus padres de familia, pertenecientes a la fundación Ojos del Alma de la ciudad de Neiva Colombia. Se obtuvo el desarrollo y aplicación del prototipo BlindTI para la enseñanza del braille y conceptos básicos de algoritmia aplicados en un tablero didáctico para la representación de algoritmos. Se evidencia que la falta de herramientas tecnológicas inclusivas potencia el crecimiento de brechas de acceso a educación a niños con limitaciones visuales, y que, con la aplicación de la propuesta presentada en este artículo, es posible contribuir al cierre de esta brecha e implementar metodologías de enseñanza y aprendizaje para niños con discapacidad visual con profundización en competencias del siglo XXI.
Adoção da Nota Fiscal de Serviços Eletrônica: um Estudo sobre os Efeitos na Arrecadação de Imposto Sobre Serviço de Qualquer Natureza em Municípios do Rio Grande do Norte
Authors:   Universidade Federal do Rio Grande do Norte, Lucena João Paulo Oliveira , Alves Thales da Costa Lago ,   Universidade Federal do Rio Grande do Norte, Sampaio Raquel Menezes Bezerra ,   Universidade Federal do Rio Grande do Norte
Published: May 2023

Este trabalho estuda a relação entre a implantação da Nota Fiscal de Serviços Eletrônica (NFS-e) e a arrecadação do Imposto Sobre Serviços de Qualquer Natureza (ISSQN) em municípios de quatro microrregiões do Estado do Rio Grande do Norte. Aplica-se uma análise de dados em painel para os anos de 2013 a 2016 com base em informações oficiais sobre as datas de adoção da NFS-e e de arrecadação bruta do ISSQN, dimensão populacional, pessoal ocupado e assalariado, quantitativo de empresas atuantes e Produto Interno Bruto. Os resultados sugerem que a implantação da NFS-e, por todo um ano fiscal completo, repercute em cerca de 46% de acréscimo na arrecadação do ISSQN aos municípios que fazem uso da inovação, frente aos que não adotam esse recurso tecnológico, indicando que esta pode ser uma boa estratégia de combate à evasão fiscal e de aumento de arrecadação para pequenos municípios.
Management of diacapitular mandibular condyle fracture using a single lag screw fixation: Case Repor
Authors:   Consultant Oral and Maxillofacial Surgeon, India., Karthik K P , Ashwin V ,   Consultant Oral and Maxillofacial Surgeon, India., Balamurugan R ,   Oral and Maxillofacial Surgeon, RYA COSMO Foundation, India.
Published: May 2023

Introduction: Mandibular fractures are the most common facial fractures affecting various anatomical sites of the mandible. Among the various mandibular fractures, management of condylar fractures remains a challenging task for surgeons. Case Report: We report the case of a 28 year old male patient who presented with pain in the chin and restricted mouth opening. Computed tomography revealed a sagittal fracture of the right condylar head with medial displacement of the fractured fragments. Management of diacapitular fractures includes open reduction and internal fixation of the right condyle using a single lag-screw. Results: The postoperative outcomes were favorable, where normal mandibular movements, desired dental occlusion and exact positioning of the condyle with rigid fixation were established thereby maintaining the shape of the condyle. Conclusion: Use of single lag screw fixation is highly recommended as it greatly supports the stabilized fracture fragments and also aid in prevention of fracture fragment rotation medially.
El estudiante universitario protagonista en el proceso de aprendizaje
Authors: Loyola Illescas, Edgar , Méndez Reyes Johan , Rodríguez Pucha Irene , Arias Luis , Jurado Pamela , Rodríguez Martha , Allauca Cauja Luis Joel , Iza Villacís Víctor
Published: May 2023

El libro invita a una lectura reflexiva, que nos permita entender y enriquecer nuestras realidades socioeducativas, en aras de un mundo más comprometido, culto, sensible y con espíritu transformador, para cambiar lo que necesite ser cambiado, para transformar nuestra sociedad a la vez que nos transformamos nosotros mismos y podamos construir un mundo más feliz y equitativo para todos.
Intrapancreatic injection surgery v1
Authors: Jimenez Gonzalez Maria
Published: May 2023

This is a protocol for performing intrapancreatic injection of Cholera Toxin Beta (CTb) in mice.
efecto de la información del sistema de información sobre la satisfacción de los usuarios mediante el papel mediador del valor percibido de la información
Authors: Farhadpoor Mohammad Reza , Farhadi Bajoli Khadijeh
Published: May 2023

Este estudio investiga el efecto de la calidad de la información sobre la satisfacción de los usuarios del sistema de información considerando el papel mediador del valor percibido de la información. En este estudio aplicado, realizado utilizando un enfoque de correlación causal, la población de estudio fueron todos los usuarios del sistema de información en las bibliotecas públicas de Ahvaz. Se seleccionó un tamaño de muestra de 384 sujetos mediante muestreo aleatorio simple. Los datos fueron recogidos por un cuestionario hecho por el investigador basado en estudios previos. Las herramientas fueron validadas por validez aparente y su confiabilidad fue confirmada mediante el alfa de Cronbach (en el valor de α = 0.812, 0.866 y 0.880, respectivamente) y los resultados fueron analizados por SEM utilizando los softwares SPSS 21 y AMOS 5. Con base en los resultados de la prueba de hipótesis, la calidad de la información del sistema de información tiene un efecto positivo y significativo en la satisfacción del usuario (P = 0,000; β = 304) y el valor percibido de la información (P = 0,000; β = 0,000). Además, el valor percibido de la información tiene un efecto significativo en la satisfacción del usuario (P = 0,000; β = 644). Mientras tanto, la calidad de la información del sistema de información tiene un efecto significativo en la satisfacción del usuario con el papel mediador del valor de la información percibida (P = 0,000, β = 0,834). Concluimos que la mejora de la calidad del sistema de información en términos de calidad de la información puede mejorar la percepción de los usuarios sobre el valor de la información y su satisfacción.
Comparison of Interdisciplinary Connections between Mathematic and other Subjects through Student-centred Approaches
Authors: Drobnič Vidic Andreja
Published: May 2023

In some European countries inquiry-based learning (IBL) has become popular in primary and secondary mathematics education, especially for science-connected content. On the other hand, problem-based learning (PBL) and project-based learning (PjBL) have a longer history in mathematics, science, technology, engineering (STEM) and in some other fields in higher education. After presenting the theoretical similarities and differences among these three interdisciplinary student-centred approaches, we review the use of them in mathematics education. We analyse a selection of n=112 high quality research articles about the use of IBL, PBL or PjBL in mathematics, and its interdisciplinary connection with other subjects, level of education, type of research method, research design and participants for each study. Based on these characteristics, we identify the differences between the approaches in mathematics education. Finally, detailed examination of a subsample of experimental studies, where effect size is or can be measured, describes differences in interdisciplinary connections between the target approaches and indicate what kind of studies are still missing in mathematics education.
Evaluando el grado de idoneidad didáctico matemático en maestros: un estudio de caso
Authors: García Marimón Orlando Enrique
Published: May 2023

En este trabajo se evalúa el impacto del Diplomado Estrategias Didácticas de la Enseñanza de la Matemática (EDEM) utilizando como herramienta de apoyo a los Criterios de Idoneidad Didáctica (CID) que permiten valorar la práctica educativa a tres maestras participantes del programa panameño.  Este impacto permite observar si las maestras tienen desarrollada la competencia de análisis e intervención didáctica. Para ello se empleó una metodología tipo exploratorio analítico interpretativo triangulando dos entrevistas estructuradas (sobre los CID) realizadas al grupo de maestras en forma individual y grupal y contrastado con unas valoraciones previas sobre datos obtenidos en una tarea final del Diplomado. Dentro de los resultados se encontró que dos de las maestras le dan mayor relevancia al criterio afectivo al desarrollar “matemática escolar”.  La afirmación anterior sugiere que sí hay un impacto positivo después de haber capacitado a las maestras en el Diplomado e igualmente, se evidencia que las maestras descartan como prioritarios a los criterios epistémicos y el mediacional, porque consideran que están suficientemente “preparadas”. De ahí que el objetivo de este programa sea la capacitación docente.
Razonamiento Covariacional y Técnicas Instrumentadas en la Resolución de un Problema de Optimización Mediado por GeoGebra
Authors: Martínez-Miraval Mihály André , García-Cuéllar Daysi Julissa , García-Rodríguez Martha Leticia
Published: May 2023

El estudio realizado tuvo por objetivo documentar cómo distintas técnicas instrumentadas se relacionan con distintas acciones mentales durante el trabajo de estudiantes universitarios en una actividad de optimización mediada por GeoGebra. Con el fin de minimizar la longitud de la cerca de un terreno rectangular, los estudiantes pusieron en juego acciones mentales, que fueron visibles en las manipulaciones con GeoGebra, asociadas con distintos niveles de razonamiento covariacional, y que permitieron identificar diferentes técnicas instrumentadas. Se concluye que el uso de técnicas instrumentadas que involucran conceptos relacionados con la derivada, como la pendiente de recta tangente o la función derivada, visibilizan comportamientos asociados con acciones mentales de un razonamiento covariacional más sofisticado.
KITCHEN FACTORIES OF THE FORMER USSR IN KAZAKHSTAN, AZERBAIJAN AND UZBEKISTAN
Authors: Isakov Alexander
Published: May 2023

The features of the architectural and planning organization of new typological objects of the period of the 1920-1930s kitchen factories are investigated. Specific features of the architecture of kitchen factories built in the cities of the Asian republics of the USSR are revealed, national differences in the architectural solutions of these objects, a combination of constructivist and local architecture techniques are revealed. Three-dimensional functional-planning models of preserved and lost buildings are recreated, information about the authors is replenished. Previously unknown information about the kitchen factories built in the first years of Soviet power is introduced into scientific use.
PECULIARITIES OF THE ARCHITECTURAL AND PLANNING STRUCTURE OF TOURIST CENTERS IN THE CONDITIONS OF THE SLOPE
Authors: Rybacheva Olga Stanislavovna , Plotnikova Ekaterina Olegovna
Published: May 2023

Tourist center is considered as a place of attraction for the flow of tourists. The features of architectural and planning structure of modern tourist centers and their relationship with the environment are disclosed. The concept of "context" in architecture is considered. The foreign experience of designing tourist centers in the slope conditions is studied. The main problems and positive aspects of the Samarins' Estate site in the village of Privolzhye on the shore of the Saratov Water Reservoir that influence the design of a modern tourist center with exhibition space are revealed. General recommendations for the design of the facility on this site with the relief are formulated.
COGNITIVE POTENTIALS OF THE MALE BRAIN EVOKED BY PERCEIVINGHUMAN'S FACES WITH DIFFERENT EMOTIONAL MODALITIES
Authors:   Taras Shevchenko national University of Kyiv, Myronenko Yaroslav , Zyma Ihor ,   Taras Shevchenko national University of Kyiv
Published: May 2023

The calculation of the difference in peaks of the event-related potential in men during exposure to different-sex faces with differential emotional modality using the MATLAB and EEGLAB software packages. The electrical activity of the brain of 20 male students of Taras Shevchenko Kyiv National University was recorded to identify the difference in the activation of brain structures during the demonstration of portraits of different sexes with positive and negative emotional modalities. Statistically significant differences in peak amplitude were recorded for components N250, N400, and P300 when subjects were presented with male and female portraits with a positive emotional modality, while when exposed to a series of images with a negative emotional modality, no statistical differences were registered in any of the componenStatistically significant differences in the peak amplitude were recorded for the N250, N400, and P300 components when subjects were presented with male and female portraits with a positive emotional modality, while when exposed to a series of images with a negative emotional modality, no statistical differences were registered in any of the components.
ON COMPUTATIONALISM: FORMAL INTERPRETATION AND INITIAL MODEL
Authors: Awwad Mohamad
Published: May 2023

In this article, we propose an initial formal model of computationalism based on mathematical relations between cognition and computation. More specifically, based on a set of cognitive constituents as a domain, and a set of computational implementations as a range, we define two relations of transformation over these sets. Moreover, we define the principles of implementability, describability, and phenomena correspondence, and we conjecture that full computationalism does not hold since these principles are not fulfilled. Particularly, many cognitively-tied phenomena fail to respect the describability principle which is necessary for representing a cognitive state by a computational state.
The Impact of Globalization on Organizational Strategy and Decision Making: An Empirical Study
Authors: Sharma Akhilesh
Published: May 2023

The necessity for businesses to develop globally is one of the most important effects of globalisation on organisational strategy. As a result, international supply networks have emerged, and businesses now need to adjust to shifting social, legal, and political contexts. Additionally, the rise in competition as a result of globalisation has forced businesses to adopt more creative and adaptable business strategies in order to stay competitive. Globalisation has also had an impact on organisational decision-making since organisations now have to take into account a wider range of stakeholders in the decision-making processes, such as consumers, employees, suppliers, and communities. In addition, as organisations are expected to operate in a socially and environmentally responsible way, globalisation has led to a greater emphasis on corporate social responsibility. In general, the effects of globalisation on organisational strategy and decision-making have been significant, necessitating the adoption of more creative and adaptable strategies by organisations in order to cope with rapidly changing global settings. In order to stay competitive and sustainable over the long term, organisations must continue to change the strategies and decision-making procedures as globalisation continues to shape the global marketplace.
Role of Balance Scorecard in Improving Business Decision Making and Effectiveness: An Analytical Study
Authors: Gupya Omdeep
Published: May 2023

A performance management tool known as the Balanced Scorecard (BSC) has the potential to significantly increase India's businesses' efficiency and decision-making. The BSC provides an extensive view of an organization's success by analysing key performance indicators from four separate perspectives: financial, customer, internal processes, and learning and growth.The BSC enables companies in India to more effectively integrate their long-term objectives and strategies into their daily operations. Information on profitability is provided from the financial perspective, while customer happiness and loyalty are gauged from that perspective.The internal processes perspective emphasises the effectiveness of internal procedures, while the learning and growth perspective identifies opportunities for employee advancement.Businesses can better identify their strengths and weaknesses and make changes that will increase overall effectiveness by monitoring performance from all four viewpoints. Organizations can spot opportunities for improvement and take proactive measures to improve their overall performance by monitoring key performance indicators from a variety of angles.
Consumer Buying Behaviour And Brand Choice in Small Car Segment: A Quantitative Investigation
Authors: Chauhan Sweta
Published: May 2023

Modern technology has made cars less of a status symbol and more of a necessity. One of the industries in our country that is growing the fastest is the auto business. It has become a staple of our daily lives, which is why automobile manufacturers are focusing more on the common male market. The option to purchase an automobile is not a personal one. The marketing environment today has changed from product-based to need-based, giving consumers a wide range of options from which to choose. This study concludes that consumer purchasing behavior plays a vital part in providing marketers with 4 wheels, and there is a wealth of opportunity for more research in this area. Each person has distinctive tastes, interests, perceptions, beliefs, and considerations. In the current state of the automobile industry, there are several options available in every segment, making it risky and challenging work to understand human behavior. Companies must comprehend the precise needs of the client to gain market share. The basic data used in this study was gathered through the distribution of a structured questionnaire. With the aid of several characteristics, an effort is made to research buyer behavior for small-segment vehicles, and data is interpreted under that understanding.
Role of Business Ethics in Better Governance: A Quantitative Study of Executive’s Opinions
Authors: Srivastava Barun
Published: May 2023

The important attributes that make Business ethics crucial stands on strong pillars namely, Rule of Law, Competence and Capacity, openness to change, transparency and accountability and most importantly Human Rights and Ethical conduct. In this paper all the important attributes of business ethics are considered which are helpful for the better Governance. This responsibility lies not only with the CEO or owner of the business or company but with each and every employee or worker working in the organization regardless of his or her post and designation. This paper will highlight the important business ethics and its implementation throughout the working of the business. This paper will also emphasize how the ethical code of conduct will help in the better governance of the business. This paper will also stress on the point that business ethics though are not legal obligation but they are as important as any other legal law. The sample size of the study was 193 respondents. The data analysis was performed with the help of t-test and mean.
Feature-Based Image Patch Approximation for Lung Tissue Classification Using RGLBP and MCHOG
Authors: Das Purushottam
Published: May 2023

Since there are over 150 different types of lung tissue disorders that can occur, the main goal of this project is to identify abnormal lung tissue. The anomaly of the lung tissue was first identified in order to diminish this condition, and the proper treatment was then administered through clinical practise. As a result, the imaging system is used to detect the issue utilising some of the currently available approaches. The methodology utilised in this suggested method to extract the feature from the collected HRCT image uses the rotation-invariant Gabor-local binary patterns (RGLBP) texture descriptor with multi-coordinate histogram of oriented gradients (MCHOG). The dataset image is taken for the detection of the irregularity in order to get better results and images of higher quality. The picture is reduced to include only the various lung tissue locations necessary for the SVM classifier to identify the state of abnormality. In this procedure, the test features and train features are classified using the SVM classifier to determine the condition of the anomaly. The test feature and the train feature play a vital part in the classification procedure for the classification purposes. The train feature is only the feature that was got from the train picture, whereas the test feature is only the feature that was gained from the test image.
W-Tree Indexing For Fast Visual Word Generation
Authors: Kundlia Anmol
Published: May 2023

In image retrieval and visual identification, the bag-of-visual-words model has been extensively employed. The process of creating visual words—adding visual words to the associated local characteristics in a high-dimensional space—takes the longest to complete in order to acquire this representation. In order to save time, structures constructed around multi-branch trees & forests have recently been implemented. However, without a lot of backtracking, these approaches are unable to work well. In this study, we demonstrate that the lengthy process of visual word formation may be greatly sped up while keeping accuracy by taking into account the spatial correlation of local variables. We may create a co-occurrence table for each visual word in a huge data collection since some visual terms commonly co-occur with specific structures. We are able to allocate a probabilistic weight to each node of an index structure (for example, a KD-tree and a K-means tree) by associating each visual word with a probability in accordance with the corresponding co-occurrence table. This allows us to re-direct the searching path to be nearby to its global optimum within a minimal number of backtrackings. On the Oxford data set, we carefully examine the proposed scheme by contrasting it with the fast library for approximative nearest neighbours along with the random KD-trees. Extensive experimental findings point to the new scheme's effectiveness and efficiency. FeatureMatch, a generalised approximate nearest-neighbor field (ANNF) calculation framework connecting a source and target picture, is the solution we provide in this study. The suggested approach can calculate ANNF maps between any picture pairings, including unrelated ones. By using the proper spatial-range transformations, this generalisation is accomplished. Global colour adaptation is used on the source picture as a range transform to calculate ANNF maps. Low-dimensional characteristics are employed to approximate the image patches from the pair of photos, and KD-tree and ANNF estimation are combined. Based on picture coherency and spatial transformations, this ANNF map is further enhanced. We can now handle a broader spectrum of vision applications thanks to the suggested generalisation, which we couldn't previously manage with the ANNF framework.
A Deep Learning-Based Approach for Real-Time Object Detection and Recognition
Authors: Juyal Amit
Published: May 2023

Object detection and recognition is an essential task in computer vision with numerous real-world applications such as surveillance, self-driving cars, and robotics. In recent years, deep learning-based approaches have significantly improved the accuracy and speed of object detection and recognition. The You Only Look Once version 3 (YOLOv3) algorithm is a popular deep learning-based approach that can detect and recognize objects in real-time. The Common Objects in Context (COCO) dataset is a large-scale dataset with over 330,000 labeled images and more than 2.5 million object instances, making it a popular choice for object detection and recognition tasks. In this paper, we propose a deep learning-based approach for real-time object detection and recognition using the YOLOv3 architecture and COCO dataset. We evaluate our approach based on several performance metrics, including mean average precision (mAP), frames per second (FPS), total object detection time, object detection accuracy, false positive rate, number of detected objects, and mean intersection over union (mIoU). Our results show that our approach achieves a mean average precision of 0.76 on the COCO dataset and a real-time performance of 40 frames per second on a single GPU. Additionally, our approach achieves an object detection accuracy of 93.5%, a false positive rate of 6.5%, and a mean intersection over union of 0.65. Our proposed approach shows promising results for real-time object detection and recognition and can be applied to various real-world applications.
Optimal Bibd Extended Design Based Neighbour Discovery in Asynchronous Wsn
Authors: Joshi Nidhi
Published: May 2023

For asynchronous Wireless Sensor Networks (WSNs), this research suggests an ideal Balanced Incomplete Block Design (BIBD) extended design based neighbour finding technique. The algorithm takes use of the characteristics of BIBD extended designs to build a series of transmission plans that guarantee effective neighbour detection with little energy consumption and delay. Simulations are used to test the proposed algorithm, and the results show that it significantly outperforms previous approaches in terms of energy usage, latency, and scalability.

The value of this study is in the innovative neighbour finding algorithm that it proposes, which overcomes the drawbacks of existing approaches and provides a scalable and energy-efficient solution for large-scale WSNs. The suggested technique may be used in a variety of settings, including environmental monitoring, industrial automation, and healthcare, where accurate and timely data gathering and processing depend on efficient neighbour detection.

The suggested algorithm is implemented step by step in the technique section along with the relevant equations and tables. The simulation results for sample input data are shown in the results section along with pertinent tables and graphs. The results are outlined in the conclusion section, which also emphasises the importance of the suggested method.

Overall, the suggested technique provides a viable option for rapid neighbour detection in WSNs, potentially having repercussions for a broad variety of applications.
Enhanced Energy Allocating Time Slots Mechanism (Eeatsm) in Smart Water Management for Iot and Wsn
Authors: Joshi Nidhi
Published: May 2023

The utilisation of Internet of Things (IoT) and Wireless Sensor Network (WSN) technologies in the implementation of intelligent water management systems has become an essential approach in tackling the growing need for sustainable water management. One of the primary obstacles in the creation of such systems pertains to the need to optimise energy efficiency, given the restricted power supply available in austere and remote settings. The Enhanced Energy Allocating Time Slots Mechanism (EEATSM) has been proposed as a potential solution to tackle the challenge of optimising energy consumption in IoT and WSN systems.

The present study puts forth a proposition for the application of EEATSM in the context of intelligent water management systems, utilising the Internet of Things (IoT) and Wireless Sensor Network (WSN) technologies. The methodology employed in this study involves the implementation of a dynamic time slot allocation mechanism aimed at enhancing the efficiency of energy utilisation within the system. A systematic methodology for the implementation of EEATSM is presented, comprising of pertinent equations, models, and tables. The study showcases the outcomes of our experiments that exhibit the efficacy of EEATSM in curtailing energy consumption while simultaneously guaranteeing dependable data transmission in smart water management systems.

The proposed implementation of Energy-Efficient Adaptive Time Synchronisation Method (EEATSM) has the potential to enhance the development of sustainable and efficient water management practises. This can facilitate the extensive deployment of Internet of Things (IoT) and Wireless Sensor Network (WSN) systems in environments that are remote and have limited resources. The present study has the potential to yield societal benefits through the enhancement of safe drinking water accessibility, reduction of operational expenses, and mitigation of environmental repercussions associated with water management practises. In general, this manuscript can offer perspectives on the advancement of energy-efficient strategies for intelligent water management systems utilising Internet of Things (IoT) and Wireless Sensor Network (WSN) technologies.