bluuebunny/crossref_metadata_2025 huggingface dataset:
Módulo de ventas itinerantes para la ciudad de Pereira
Authors: Sánchez Roldan Bernardo de Jesús
Published: February 2023

El siguiente artículo describe el módulo de ventas itinerantes proyectado para la ciudad de Pereira, teniendo en cuenta el factor social que atañe a esta actividad económica y las normativas y proyecciones que la ciudad posee respecto a su espacio público y la cultura del café como bebida representativa de una tradición histórica, lo cual constituye un núcleo pro blémico pertinente al diseño industrial en cuanto que debe crearse un producto que no solo permita un adecuado espacio de trabajo para el vendedor como su usuario directo, sino todas las variables de sus usuarios indirectos, la ciudad y los consumidores de la bebida del café que exigen ciertos requerimientos respecto a la bebida servida en este contexto.
Ayuda técnica para personas con artritis reumatoidea
Authors: Chávez Michelle
Published: February 2023

El artículo da a conocer el proyecto final de grado que se realizó para obtener el título de diseñadora industrial de la Universidad Católica de Pereira. Consiste en un estudio relacionado con la artritis reumatoidea, tratamientos, ayudas técnicas, psicología de la vejez, calidad de vida en los ancianos, característica de la tercera edad en Colombia, diseño emocional y principios de diseño universal, con el fin de diseñar una ayuda técnica para personas con artritis reumatoide que padecen esta enfermedad, en sus niveles 3 y 4. Metodológicamente, se realizaron entrevistas a expertos (fisioterapeutas, reumatólogos, entre otros) y a afectados con la enfermedad, así como encuesta de diagnóstico. Se llega a un diseño de elementos que contribuyen a favorecer el desarrollo de las actividades diarias de las personas con esta enfermedad con ventajas para su uso y mantenimiento.
Incidencia de la vivienda multifamiliar social en el contexto urbano.
Authors: Velásquez Saray Laura
Published: February 2023

El siguiente artículo hace un recorrido por algunas de los aspectos que trata la vivienda de interés social en Colombia principalmente, por la vivienda social en altura, iniciando con una historia concreta de la vivienda colectiva y como ha influenciado en la ciudad a través de los años, viendo la necesidad de este tipo de vivienda, sus beneficios y desventajas, y como puede afectar esto socialmente en la población. Así mismo algunos planteamientos para la proyección de este tipo de vivienda en sus unidades habitacionales ya que con el crecimiento y desarrollo de las ciudades se va volviendo un factor importante para discutir y tener en cuenta.
Una reflexión sobre la enseñanza de la arquitectura
Authors: Vela Rosero Miguel Ángel , Céspedes Valencia Sonia
Published: February 2023

El objetivo de estas notas es reflexionar sobre las transformaciones y desafíos que se están delineando en la enseñanza de la arquitectura, debido a la búsqueda de nuevas técnicas y metodologías que el mundo requiere, con el fin de contribuir con nuevos procesos académicos y que sean estas propuestas las que enriquezcan el ámbito profesional y académico.
Métodos y formas de construcción del espacio urbano
Authors: Aristizábal Restrepo Arq. Luis Guillermo , Castaño Duque Arq. Santiago , Monsalve Morales Abg. Olga Lucía , Osorio Velásquez Arq. Jorge Enrique
Published: February 2023

El artículo reflexiona sobre el crecimiento urbano de Pereira desde una perspectiva histórica, definiendo tres escenarios en los que se narran y analizan los efectos de la acción proyectual formal y de las actuaciones urbanas informales, sobre el tipo de ciudad actual. Esta ciudad, caracterizada por la oscilación que generan los contrastes urbanos, por periodos de bonanza económica que se reflejan en algunos fragmentos de ciudad símbolos de viabilidad, por la precariedad urbana y por la exclusión social, se pone en observación buscando generar criterios que guíen hacia la implementación de mecanismos de análisis e intervención adecuados, consecuentes con las demandas de un entorno dinámico actual, que permitan la construcción de un escenario de participación desde la acción, a partir de una conciencia con responsabilidad social en los escenarios académicos y profesionales.
Conveniencia de la zona franca en Pereira vista desde la localización estratégica
Authors: Muriel Andrés Felipe
Published: February 2023

Se pretende entender la lógica estratégica desde la localización y situación de la zona franca de Pereira y conocer su pertinencia o no en la región. Se aborda el tema desde las categorías afines al tema, la planeación y el desarrollo urbanístico y la subcategoría de nueva centralidad industrial. Se hace énfasis en los ámbitos económicos y urbanísticos, puesto que abarcan la mayor parte del contenido contemplado desde la categoría de planeación.
La Ciudad - Centro cultural
Authors: Martínez Vanegas Felipe
Published: February 2023

La arquitectura de Aldo Rossi es claramente urbana; sus edificios independientes como el colegio Fagano Olona (1970-1972) parecen ciudades en sí mismos con pasillos que hacen las veces de calles y patios que hacen las veces de plazas. SegúnAldo Rossi en el libro la arquitectura de la ciudad, existen elementos que no pueden faltar en la ciudad (elementos primarios) y elementos comunes, los cuales están siempre y no son de vital importancia. (Elementos homogéneos)
Central Park
Authors: Aya Cardona Luis , Bernal Santacruz Jeferson , Medina Luis , Ospina James
Published: February 2023

El funcionará como un enclave natural dentro de un entramado eminentemente urbano que considera una finalidad unitaria: ser un elemento integrador entre las realidades socio-culturales de quienes van a utilizar dicho espacio.
El diseño estratégico y la importancia de la investigación del usuario
Authors: Marín Montoya Martha Liliana
Published: February 2023

Al interior del Grupo de Investigación de Medio Ambiente y Diseño se ha fortalecido la formación de los estudiantes del semillero en metodologías de investigación para el diseño industrial, es así como semestralmente se ha contado con la participación de un experto internacional como estrategia para contribuir en este proceso. En este caso, siendo el problema de la innovación una constante en la demanda de las empresas y en el campo de acción del dise- ño, en el semillero y con el invitado experto se profundizó en el aporte del diseño a la solución de problemas del contexto de manera estratégica.
Optimized instance segmentation by super-resolution and maximal clique generation
Authors: García-Aguilar Iván , García-González Jorge , Luque-Baena Rafael M. , López-Rubio Ezequiel , Domínguez Enrique
Published: February 2023

The rise of surveillance systems has led to exponential growth in collected data, enabling several advances in Deep Learning to exploit them and automate tasks for autonomous systems. Vehicle detection is a crucial task in the fields of Intelligent Vehicle Systems and Intelligent Transport systems, making it possible to control traffic density or detect accidents and potential risks. This paper presents an optimal meta-method that can be applied to any instant segmentation model, such as Mask R-CNN or YOLACT++. Using the initial detections obtained by these models and super-resolution, an optimized re-inference is performed, allowing the detection of elements not identified a priori and improving the quality of the rest of the detections. The direct application of super-resolution is limited because instance segmentation models process images according to a fixed dimension. Therefore, in cases where the super-resolved images exceed this fixed size, the model will rescale them again, thus losing the desired effect. The advantages of this meta-method lie mainly in the fact that it is not required to modify the model architecture or re-train it. Regardless of the size of the images given as input, super-resolved areas that fit the defined dimension of the object segmentation model will be generated. After applying our proposal, experiments show an improvement of up to 8.1% for the YOLACT++ model used in the Jena sequence of the CityScapes dataset.
Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment
Authors: \DJurasević Marko , Gil-Gala Francisco J. , Jakobović Domagoj
Published: February 2023

Scheduling is a frequently studied combinatorial optimisation problem that often needs to be solved under dynamic conditions and to optimise multiple criteria. The most commonly used method for solving dynamic problems are dispatching rules (DRs), simple constructive heuristics that build the schedule incrementally. Since it is difficult to design DRs manually, they are often created automatically using genetic programming. Although such rules work well, their performance is still limited and various methods, especially ensemble learning, are used to improve them. So far, ensembles have only been used in the context of single-objective scheduling problems. This study aims to investigate the possibility of constructing ensembles of DRs for solving multi-objective (MO) scheduling problems. To this end, an existing ensemble construction method called SEC is adapted by extending it with non-dominated sorting to construct Pareto fronts of ensembles for a given MO problem. In addition, the algorithms NSGA-II and NSGA-III were adapted to construct ensembles and compared with the SEC method to demonstrate their effectiveness. All methods were evaluated on four MO problems with different number of criteria to be optimised. The results show that ensembles of DRs achieve better Pareto fronts compared to individual DRs. Moreover, the results show that SEC achieves equally good or even slightly better results than NSGA-II and NSGA-III when constructing ensembles, while it is simpler and slightly less computationally expensive. This shows the potential of using ensembles to increase the performance of individual DRs for MO problems.
Implicit spatio-temporal based hybrid recommendation model to discover malicious wireless access points
Authors: Senthil Mahesh P.C. , Muthumanickam K. , Vijayalakshmi P.
Published: February 2023

Recent technological advancements have enabled users to conduct more sophisticated business transactions via Wi-Fi enabled networks. Typically, a compromised access point (CAP) can handle all traffic between a user and an Internet server, thus becoming a serious security hazard. In addition, an attacker can easily control the entire network using the CAP remotely and compromise as many victims as possible to form a botnet. This paper presents a hybrid recommendation prediction model for forecasting CAP attacks based on network traffic in a private network. This model combines various prediction techniques likethe time-series model, the kNN model and cross association algorithm for attack prediction. This hybrid blacklisting recommendation system effectively improves the prediction rate significantly as well as the robustness against poisoning attacks.
RETRACTED: Machine learning modelling of removal of reactive orange RO16 by chemical activated carbon in textile wastewater
Authors: Khan Izaz Ullah , Shah Jehanzeb Ali , Bilal Muhammad , Faiza  , Khan Muhammad Saqib , Shah Sajid , Akgül Ali
Published: February 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Fuzzy incidence coloring on cartesian product of some fuzzy incidence graphs
Authors: Yamuna V. , Arun Prakash K.
Published: February 2023

The Fuzzy Incidence Coloring (FIC) of a graph is a mapping of its Fuzzy Incidence set to a color set in which adjacent Fuzzy Incidences (FIs) are colored with different colors. Using various sorts of fuzzy graph products, new graphs can be created from two existing graphs. In this paper, we determined the Fuzzy Incidence Coloring Number (FICN) of some cartesian product with two Fuzzy Incidence Paths (FIPs) ( P m ˜ × P n ˜ ) , two Fuzzy Incidence cycles ( C m ˜ × C n ˜ ) , two Fuzzy Incidence complete graphs ( K m ˜ × K n ) ˜ , FIP and Fuzzy Incidence cycle ( P m ˜ × C n ) ˜ , FIP and Fuzzy Incidence complete graph ( P m ˜ × K n ) ˜ , Fuzzy Incidence cycle and Fuzzy Incidence complete graph ( C m ˜ × K n ) ˜ , respectively.
ECG-NETS – A novel integration of capsule networks and extreme gated recurrent neural network for IoT based human activity recognition
Authors: Arokiaraj S. , Viswanathan N.
Published: February 2023

Human Activity Recognition (HAR) has reached its new dimension with the support of Internet of Things (IoT) and Artificial Intelligence (AI). To observe human activities, motion sensors like accelerometer or gyroscope can be integrated with microcontrollers to collect all the inputs and send to the cloud with the help of IoT transceivers. These inputs give the characteristics such as, angular velocity of movements, acceleration and apply them for an effective HAR. But reaching high recognition rate with less complicated computational overhead still represents a problem in the research. To solve this aforementioned issue, this work proposes a novel ensembling of Capsule Networks (CN) and modified Gated Recurrent Units (MGRU) with Extreme Learning Machine (ELM) for an effective HAR classification based on data collected using IoT systems called Ensemble Capsule Gated (ECG)-Networks (NETS). The proposed system uses Capsule networks for spatio-feature extraction and modified (Gated Recurrent Unit) GRU for temporal feature extraction. The powerful feed forward training networks are then employed to train these features for human activity recognition. The proposed model is validated on real time IoT data and WISDM datasets. Experimental results demonstrates that proposed model achieves better results comparatively higher than existing (Deep Learning) DL models.
Enhanced ant colony optimization algorithm for packet delivery with improved energy efficiency in wireless sensor networks
Authors: Suresh Kumar M. , Sathish Kumar G.A.
Published: February 2023

This paper aims to formulate an enhanced ant colony optimization algorithm that helps find a suitable data route that improves energy efficiency and reduces the time consumption for the delivery of packets. Energy equations have been framed to analyze energy used at the transmitting, receiving, and relay nodes. The network is segmented into smaller virtual segments for easier analysis of the proposed algorithm. Each segment is assumed to have nodes with a cluster head. The sink gathers information from different cluster heads as it moves from one segment to another. The nodes not in close connection with the network used the overhearing mechanism to share the information with the sink. The simulation has been done using Cisco Packet Tracer software. The proposed algorithm has been applied to different types of wireless networks to determine their efficiency. The wireless networks considered for this purpose are Bluetooth, Wi-Max, and Wi-Fi. Packet delivery ratio, end-to-end delay, collision, and lifetime are evaluated for the different types of wireless networks. The obtained results are analyzed, and graphs are plotted.
Decision support for technology transfer using fuzzy quality function deployment and a fuzzy inference system
Authors: Sarfaraz Amir Homayoun , Yazdi Amir Karbassi , Hanne Thomas , Hosseini Raheleh Sadat
Published: February 2023

Technology transfer plays an essential role in developing an organization’s capabilities to perform better in the market. Several protocols are defined for technology transfer. One of the main techniques in technology transfer is licensing, which significantly impacts profit and income. This study intends to develop a decision framework that integrates both a Fuzzy Inference System (FIS) and a two steps Fuzzy Quality Function Deployment (F-QFD) to assist an organization in selecting a licensor. To illustrate the decision framework’s performance, it has been implemented in an Iranian lubricant producer to select the best licensor among the 13 targeted companies. A complete product portfolio, brand image enhancement, increasing the market share of the high-value products, and improving the technical knowledge of manufacturing products were identified as the most important expectations of the licensees. A sensitivity analysis for the recommended framework has been conducted. For doing so, 27 rules of the FIS were categorized into four group and then changed. The results are compared using the Pearson correlation coefficient. Inference rules detect unconventional changes, while logical changes are appropriately considered.
Loss and premium calculation of network nodes under the spread of SIS virus
Authors: Qi Ju
Published: February 2023

In the big data and “Internet+” era, the research related cybersecurity risk has attracted much attention. However, Premium pricing for cybersecurity insurance remains in its early days. In this paper, we established a premium pricing method for cybersecurity risks. Firstly, the losses during the cyber infection is modeled by an interacting Markov SIS (Susceptible-Infected-Susceptible) epidemic model. we also proposed a premium simulation method called the Gillespie algorithm, which can be used for simulation of a continuous-time stochastic process. At last, as an example, we calculated the premiums by using premium principles and simulation in a simple network respectively. The numerical case studies demonstrate the premium pricing model performs well, and the premiums based on simulations are rather conservative, and recommended using in practice by comparing the results of premiums.
Association Coefficient Measure of Intuitionistic Fuzzy Graphs with Application in Selecting Best Electric Scooter for Marketing Executives
Authors: Akula Naveen Kumar , S Sharief Basha
Published: February 2023

Group decision-making is a technique wherein professionals rank and select the most acceptable ones based on recognised criteria. The objective of the present study was to establish a strategy for solving issues with Laplacian energy and association coefficient measures of intuitionistic fuzzy graphs through group decision-making. Initially, making use of Laplacian energy, the load of each criterion is determined, and the entire criterion load vector is then computed by averaging the determined loads. The substitutes are then ranked using the association coefficient measure linked to every criterion. Finally, we used the proposed technique wherein professionals rank and select the most acceptable based on recognised criteria with real-time application.
Pattern recognition of grooves in human lips for improved authentication in cyber-physical systems using U-Net architecture
Authors: Vasavi J. , Abirami M.S.
Published: February 2023

Latent Lip groove application is been a notable topic in forensic applications like crime and other investigations. The detection of lip movement is been a challenging task since it is a smaller integral part of the human face. The conventional models operate on the available public or private dataset but it is constrained to the large population and unconstrained environment. The study aims at developing a deep learning model in a multimodal system using the deep U-Net Convolutional Neural Network architecture. It also aims at improving biometric authentication through a deep pattern recognition that involves the feature extraction of grooves present in the human lips. An examination of grooves present in the input lip image is conducted by the present system to check the authenticity of the person entering the cyber-physical systems. The lip images are collected from the public security cameras via high-definition cameras in crowded areas that help the proposed method in forensic investigation and further, it considers various unconstrained scenarios to improve the efficacy of the system. The study involves initially pre-processing of lip image, and feature extraction of lip grooves to improve the efficacy of the lip trait. The simulation is conducted on the MATLAB tool to examine the efficacy of the model against various existing methods. Further, the study does not take into account the datasets available on the websites and lip images are only collected from a large set population in a real-time environment. The results of the simulation show that the proposed method achieves a higher degree of accuracy in extracting the grooves from the input lip images.
A compact CNN model for automated detection of COVID-19 using thorax x-ray images
Authors: Awan Tehreem , Khan Khan Bahadar , Mannan Abdul
Published: February 2023

COVID-19 is an epidemic, causing an enormous death toll. The mutational changing of an RNA virus is causing diagnostic complexities. RT-PCR and Rapid Tests are used for the diagnosis, but unfortunately, these methods are ineffective in diagnosing all strains of COVID-19. There is an utmost need to develop a diagnostic procedure for timely identification. In the proposed work, we come up with a lightweight algorithm based on deep learning to develop a rapid detection system for COVID-19 with thorax chest x-ray (CXR) images. This research aims to develop a fine-tuned convolutional neural network (CNN) model using improved EfficientNetB5. Design is based on compound scaling and trained on the best possible feature extraction algorithm. The low convergence rate of the proposed work can be easily deployed into limited computational resources. It will be helpful for the rapid triaging of victims. 2-fold cross-validation further improves the performance. The algorithm proposed is trained, validated, and testing is performed in the form of internal and external validation on a self-collected and compiled a real-time dataset of CXR. The training dataset is relatively extensive compared to the existing ones. The performance of the proposed technique is measured, validated, and compared with other state-of-the-art pre-trained models. The proposed methodology gives remarkable accuracy (99.5%) and recall (99.5%) for biclassification. The external validation using two different test dataset also give exceptional predictions. The visual depiction of predictions is represented by Grad-CAM maps, presenting the extracted features of the predicted results.
Spherical fuzzy hamacher power aggregation operators based on entropy for multiple attribute group decision making
Authors: Zhang Huiyuan , Wang Hongjun , Cai Qiang , Wei Guiwu
Published: February 2023

As an improved form of fuzzy sets (FSs), spherical fuzzy sets (SFSs) could provide decision makers (DMs) with more free space to express their preference information. In this article, we first develop some Hamacher power aggregation operators under SFSs by power operators and Hamacher operators, including spherical fuzzy Hamacher power average (SFHPA) operator, spherical fuzzy Hamacher power geometric (SFHPG) operator, spherical fuzzy Hamacher power weighted average (SFHPWA) operator, spherical fuzzy Hamacher power weighted geometric (SFHPWG) operator, spherical fuzzy Hamacher power ordered weighted average (SFHPOWA) operator, spherical fuzzy Hamacher power ordered weighted geometric (SFHPOWG) operator, spherical fuzzy Hamacher power hybrid average (SFHPHA) operator and spherical fuzzy Hamacher power hybrid geometric (SFHPHG) operator. At the same time, some properties of the proposed operators are investigated, and the relationships between these operators and existing operators are discussed. Furthermore, a novel spherical fuzzy entropy measure is introduced to calculate unknown attribute weights. Then, some novel multiple attribute group decision making (MAGDM) methods are established by the proposed operators as well as entropy measure under SFSs. Lastly, the practicability of the presented methods is verified with a numerical case. Moreover, the robustness, availability and superiority for the developed methods are demonstrated via sensitivity analysis and further comparation with the existing methods.
Translation and preliminary validation of the Brazilian family resources scale in a sample of parents of children with congenital Zika virus syndrome
Authors: Barker Ladd Sarah , Williams Natalie A. , Villachan-Lyra Pompéia , Chaves Emmanuelle , Hollist Cody , Trefiglio Mendes Gomes Renata , Barbosa Leopoldo Nelson F.
Published: February 2023

PURPOSE: Family-centered rehabilitative care optimizes outcomes for children with significant developmental disabilities. Family-centered services involve assessing family resources that promote positive developmental outcomes for children. Little is known regarding family resources in the context of caring for a child with developmental disabilities in Brazil due to an absence of validated measures. This study describes the translation and cultural adaptation of the Family Resource Scale and explored the measurement quality of the resulting measure (the Brazilian-Family Resource Scale, or B-FRS). METHODS: A rigorous serial translation process that emphasized linguistic accuracy as well as cultural adaptation was utilized. The resulting 27-item B-FRS was theoretically related and reflected the contextual intent of the original measure. RESULTS: A four-factor scoring approach yielded acceptable internal consistency estimates for the subscales and total scale score. Overall, low levels of family resources were reported by caregivers of children with Congenital Zika Syndrome. Low family resources were associated with parental depressive and stress-related symptoms. CONCLUSION: Confirmatory factor analysis of the B-FRS in a larger sample is recommended. Practitioners in Brazil should broadly consider family needs and resources to provide family-centered care that is effective for the child and engages the family in a way that highlights their strengths and promotes positive developmental trajectories.
Functionally relevant physical exercises as an objective measure of clinical improvement in pediatric chronic pain
Authors: Kempert Heidi , Benore Ethan
Published: February 2023

PURPOSE: This exploratory study demonstrates the application of functionally relevant physical exercises (FRPE) to objectively assess physical functioning among children with chronic pain. Intensive interdisciplinary pain treatment (IIPT) focuses on functional improvements as a primary outcome. FRPEs aim to enhance clinical assessments and monitoring by providing relevant data for physical and occupational therapies. METHODS: Children enrolled in three weeks of IIPT provided data for study. They completed two self-report measures of functioning (Lower Extremity Functioning Scale [LEFS] and Upper Extremity Functioning Index [UEFI]), measure of pain intensity, and six separate FRPEs (box carry, box lifts, floor to stand, sit to stand, step ups, and modified six-minute walk test). Data from 207 participants aged 8–20 years old were analyzed. RESULTS: Upon admission, over 91% of children could perform each FRPE at some level to provide clinicians with a baseline assessment of functional strength. Following IIPT, all children were able to complete FRPEs. Overall, children reported statistically significant gains in functioning on all subjective reports and FRPEs (p’s < 0.001). Spearman correlations demonstrated that LEFS and UEFI were weakly to moderately correlated to all FRPEs at admission (r’s between.43–.64, p’s < 0.001 and.36–.50, p’s < 0.01 respectively). Correlations between all subjective and objective measures were comparatively lower at discharge. CONCLUSION: FRPEs appear to serve as good objective measures of strength and mobility for children with chronic pain, measuring variability across patients and change over time, which is unique from subjective data gathered via self-report. Due to face validity and objective measurement of functioning, from a clinical practice perspective, FRPEs provide meaningful information to support initial assessment, treatment planning, and patient monitoring. This study offers initial support for a novel measurement method that is easily administered and replicated to effectively measure functional improvement in children with chronic pain.
Genetic identification and phylogenetic relationships of fish species at Panjnad , Abbasia and Abu Dahbi canals (Punjab, Pakistan) based on mitochondrial COI sequences
Authors: Naz Dr. Saima , Ahmad Manan Mustafa Chatha  , Durali DANABAS3  , , Naila Kouser  , Ashraf Naeem Mehmood
Published: February 2023

Fish is an extremely nutritious food that is abundant in important minerals, vitamin D, protein, and omega-3 fatty acids. Now a day, mislabeling of fish products is a major problem in the fish industry that affects the market prices and causes fluctuations. Phylogenetic analysis of nucleotide sequences is a technique that might be used to verify the identity of misidentified fish species. In this study five species (Cirrhinus mrigala, Hypophthalmichthys molitrix, two Actinopterygii sp., and Mastacembelus armatus) were used for phylogenetic analysis using the COI gene was amplified using the PCR, average product size is 658 base pairs. A comparison of obtained sequences was implemented through National Center for Biotechnology Information database (NCBI) and the Basic Local Alignment Search Tool (BLAST). Most resemble sequences were downloaded for comparison with our sequencing results. By using MAGA X the rates of different transitional substitutions are 11.33 and transversional substitutions are 6.83. The estimated Transition/Transversion bias (R) is 0.83. The K2P model was used for the estimation of this substitution pattern. Because most freshwater fish species were in the same order or family, phylogenetic tree analysis indicated that they grouped together. Using the InterPro database, the activity and regulatory pathways of the Cytochrome C Oxidase 1 gene are identified to show their activity on the protein level, especially for some important physiological functions. Each species of fish could be identified based on their speciation and node position and distance from their parent nodes. Based on the closest phylogenetic relations, DNA sequence-based study was developed for the accurate identification of fish species.
INSILICO ANALYSIS OF FUNCTIONAL SNPs IN HUMAN CRB2 GENE ASSOCIATED WITH FOCAL SEGMENTAL GLOMERULOSCLEROSIS
Authors: Sattar Imran , Maqbool Hajira , Dr. Muhammad Shahbaz Aslam  , Dr. Iram Gull  , Dr. Imran Tipu  , Zainab Mishel
Published: February 2023

The CRB2 gene contributes to the onset of hereditary focal segmental glomerulosclerosis, which damages the kidney, particularly the glomerulus, and results in chronic kidney failure. Missense variations account for more than 90% of mutations that alter the protein's structure or activities. The pathogenicity of CRB2 non-synonymous single nucleotide polymorphisms (nsSNPs) was predicted in this work using a variety of bioinformatics techniques for mutation analysis. We retrieved 1201 nsSNPs from dbSNP-NCBI for the analysis, and 20 were predicted deleterious. 20 missense variants are G349D, C629S, R534W, G178D, C620Y, C620S, R628C, R633G, R633W, E643A, T841M, R960S, R960C, P1064T, P1064S, N800K, G1088D, T1187P, R1249Q, and R1249P.  SIFT, PROVEAN, Mutation Assessor, and PANTHER, four sequence homology-based approaches, suggested that one variation, R960S, was benign and that 19 SNPS were deleterious. Six supervised based approaches, including SNAP2, MutPred2, SuSPect, PhD-SNP, SNPs&Go, and PMut, predicted 14 SNPs as detrimental in all six applied methods. 13 variations were identified as harmful by one structure-based technique, Poly-Phen, and two consensus-based methods, Meta-SNP and Predict-SNP. The CRB2 protein's mutant and wild-type structures were predicted using itaser. Following PyMol 5 structural analysis, the mutations rs879255250 Cysteine at 620 changes to Tyrosine, variation rs879255250 Glycine at 178 changes to Aspartate, and variant rs1322315181 Glycine at 178 changes to Aspartate Arginine changes to Proline at position 1249, and Cysteine changes to Serine at position 620, with variants rs147412276 and rs868484209. Proline at position 1064 alterations to Serine are expected to be extremely harmful and result in structural changes in the protein, which may be candidates for the FSGS aetiology. These CBR2 nsSNPs may thus be possibilities for diagnostic genetic screening and therapeutic molecular targeting.
Shear stress during the flow of thixotropic and rheopex suspensions
Authors: Levinsky Alexander
Published: February 2023

A semi-empirical equation is derived that describes the dependence of shear stress on shear rate during the flow of a one-component thixotropic and rheopex suspension. The suspension is considered as consisting of two fractions: single grains and their dimers, and the dimerization of single grains is considered as a reaction characterized by a constant rate constant, and the decomposition of dimers is considered as a reverse reaction with a rate constant that linearly increases with shear rate. The equation is based on the Krieger formula generalized to the case of multicomponent suspensions.

The equation needs experimental verification.
Quality assessment program of the teaching activity of the higher education faculty staff. A case study
Authors: Llopis-Albert Carlos , Rubio Francisco , Zeng Shouzhen , Devece Carlos , Torner-Feltrer María Eugenia
Published: February 2023

The European Higher Education area has as one of its axes of development the promotion of quality in universities. Within this framework, the assessment of the quality of the teaching staff is highly recommended. With this aim the Teaching Evaluation Support Programme (DOCENTIA) promoted by Spanish National Agency for Quality Assessment and Accreditation (ANECA) is designed to satisfy the needs of the higher education system for a model and procedures to guarantee the quality of the teaching activity while fostering its development and recognition. Currently, more than 90% of the Spanish universities participate in this program, throughout its different phases. This paper presents this program, explains how it is being implemented at the Universitat Politècnica de València (UPV, Spain), and provides the proposed amendments by the evaluation commission during the follow-up verification phase that must be justified and solved during the monitoring phase, which is currently in progress, to obtain the certification.
IMPACT OF TUMOR MOLECULAR PHENOTYPE ON SURVIVAL OF PATIENTS WITH GASTRIC CANCER AFTER RADICAL SURGERY
Authors: Dumanskyi Yu.V. , Kirkilevskyi S.I. , Sulaeva O.M. , Polyasnyi V.O. , Mashukov A.O. , Kovalevska L.A. , Yarema R.R. , Ogorchak M.A.
Published: February 2023

The strategy for the treatment of gastric cancer (GC), in particular the use of the extended surgical interventions in different countries varies. The different proportion of specific molecular GC subtypes in various populations frequently is not taken into account for comparing treatment outcomes. This pilot study analyzes the association of survival of GC patients after the extended combined surgical interventions depending on the molecular subtype of the tumors. An improved survival for patients with diffuse cancer types (p53–, VEGFR+, HER2/neu+, Ki-67+ phenotype) was demonstrated. The authors propose their point of view on the importance of recognizing GC molecular heterogeneity.
РАДІОХІРУРГІЧНЕ ЛІКУВАННЯ ХВОРИХ НА РЕЦИДИВНУ ГЛІОБЛАСТОМУ ТА ПРОГНОСТИЧНІ ФАКТОРИ, ЩО ВПЛИВАЮТЬ НА ЙОГО РЕЗУЛЬТАТИ
Authors: Главацький О.Я. , Грязов А.Б. , Чувашова О.Ю. , Кручок І.В. , Грязов А.А. , Хмельницький Г.В. , Шуба І.М. , Стулей В.А. , Земскова О.В.
Published: February 2023

Стан питання: Гліобластома (ГБ) — це найбільш поширена злоякісна пухлина головного мозку в дорослих із вкрай агресивною біологічною поведінкою та високим ризиком рецидивування. Стереотаксична радіохірургія (СРХ) розглядається як ефективний метод, що підвищує виживаність хворих на рецидивну ГБ та має прийнятний рівень токсичності. Мета: Оцінити вплив різних факторів на показники виживаності пацієнтів з рецидивною ГБ після радіохірургічного лікування. Хворі та методи: Дослідження базується на ретроспективному аналізі результатів лікування 68 хворих на ГБ, яким проводили СРХ на ділянку рецидиву/продовження росту ГБ (LINAC «Trilogy», 6 MeV) за період 2014–2020 рр. в Державній установі «Інститут нейрохірургії ім. акад. А.П. Ромоданова НАМН України». Усім пацієнтам з первинною ГБ після операції було проведено курс ад’ювантної променевої терапії в стандартному режимі фракціонування (сумарна вогнищева доза (СВД) 60,0 Гр за 30 фракцій (відповідно до протоколу Stupp)) на тлі конкомітантної хіміотерапії алкілуючим препаратом темозоломідом. 36 (52,9%) хворих у подальшому отримували підтримувальну хіміотерапію темозоломідом. Після встановлення діагнозу рецидиву ГБ, при радіохірургічному лікуванні СВД на мішень опромінення становила 12,0–42,0 Гр (середня 20,2 Гр) і підводилася за 1–5 фракцій з разовою вогнищевою дозою (РВД) 4,8–20,0 Гр (середня 12,4 Гр). Середній об’єм мішені опромінення становив 34,4 см3. Метод Каплана — Майера, логарифмічний ранговий тест, регресійний аналіз Кокса використано для статистичного аналізу. Результати: Медіана загальної виживаності (ЗВ) становила 21,7 міс (95% довірчий інтервал (ДІ) 16,4–43,1). Рівень 12-місячної ЗВ становив 91% (95% ДІ 84–98), 24-місячної ЗВ — 48% (95% ДІ 36–60). Медіана виживаності після СРХ становила 9,3 міс (95% ДІ 5,6–22,7). Ад’ювантна хіміотерапія темозоломідом підвищує показники виживаності. Термін між первинним діагнозом та СРХ значуще впливав на ЗВ (p = 0,00008), але не мав впливу на виживаність після СРХ (p = 0,70568). Виживаність жінок була вищою, ніж у чоловіків. Не зафіксовано впливу на показники виживаності таких коваріат, як вік хворих, кількість фракцій СРХ та об’єм мішені опромінення при радіохірургічному лікуванні. Висновки: Радіохірургія покращує показники виживаності хворих на рецидивну ГБ. Значущий вплив на виживаність мають такі фактори, як радикальність хірургічного лікування первинної пухлини, ад’ювантна хіміотерапія темозоломідом, сумарна біологічно ефективна доза, термін між первинним діагнозом та СРХ. Існує нагальна потреба у проведенні подальших досліджень з радіохірургічного лікування хворих зі злоякісними гліомами головного мозку, зі збільшенням вибірки та терміну спостереження.
MALIGNANT TUMORS IN PEDIATRIC POPULATION OF UKRAINE: TRENDS AND STRUCTURAL FEATURES
Authors: Shipko A.F. , Fedorenko Z.P. , Ryzhov A.Yu.
Published: February 2023

The creation of a central bank of personalized information of cancer patients, including children, allowed to obtain objective data and establish continuous cancer surveillance in the child population in Ukraine. The aim of the study was to analyze the dynamics of cancer incidence (1989–2019) and mortality (1999–2019) based on the 3rd revision of International Classification of Childhood Cancer (ICCC-3). Materials and Methods: A study cohort includes 31,537 patients aged 0–19 years at the time of diagnosis in 1989–2019, registered in Ukrainian population. Results: The major groups of malignancies in the child population are presented by leukemia, lymphomas, central nervous system (CNS) tumors, epithelial neoplasms, bone cancer and soft tissues sarcomas. There were observed no gender differences in cancer incidence, except germ cell tumors and trophoblastic tumors, gonadal malignancies, as well as some other malignant epithelial neoplasms, with their proportion being twice higher in the female population. Our analysis showed a trend towards increase in the incidence of leukemia, CNS neoplasms, neuroblastoma, trophoblastic tumors and epithelial malignancies; decrease in the incidence of lymphomas and bone neoplasms; stabilization in the incidence of malignancies of liver and kidneys. The dynamic changes in cancer mortality in the studied cohort were observed, namely, the decrease of mortality from leukemias and lymphomas in males (but not in females), along with the increase of mortality from CNS neoplasms, neuroblastoma, soft tissues sarcomas and germ cell tumors, regardless of gender. Conclusions: The analysis and presentation of the epidemiological data on children’s malignancies implementing ICCC-3 classification for all relevant records in the National Cancer Registry of Ukraine allows for evaluating the major trends of cancer incidence and mortality in Ukrainian pediatric population, taking into account tumor morphology, topography, gender and age.
EXPRESSION PATTERN OF miR-125b-2, -155, -221, AND -320a IS ASSOCIATED WITH RESPONSE OF BREAST CANCER PATIENTS TO TAMOXIFEN
Authors: Pridko O. , Borikun T. , Rossylna O. , Rishko M. , Rusyn A.V.
Published: February 2023

Background: Hormonal therapy is one of the main methods of comprehensive treatment of patients with locally advanced breast cancer (BC). Despite the intensive search for molecules associated with the aggressiveness of the tumor process, currently there are no reliable markers predicting response to neoadjuvant hormonal therapy (NHT). Aim: To investigate the correlation between miR-125b-2, -155, -221, -320a expression in tumor tissue and HER2/neu status and response to tamoxifen treatment in BC patients. Materials and Methods: Expression levels of miR-125b-2, -155, -221, and -320a were analyzed in biopsy samples of 50 BC patients using a real-time polymerase chain reaction. Results: We found that levels of miR-125b-2, -155, -221, and -320a were 1.72, 1.65, 1.85, and 2.89 times higher in BC biopsy samples expressing estrogen/progesterone receptors and HER2/neu compared with HER2/neu-negative luminal tumors. Patients with a luminal BC showing higher levels of miR-125b-2 and miR-320a expression before therapy demonstrated better response to NHT with tamoxifen. A strong correlation was calculated for miR-221 expression and response to NHT (r = 0.61). Conclusions: The high levels of miR-125b-2, -155, -221, and -320a in tumor tissue are associated with the HER2/neu-positive status of luminal BC subtypes. Tumor samples of patients showing the low response to NHT with tamoxifen are characterized by lower expression of miR-125b-2 and -320a. Hence, miR-125b-2 and -320a could be considered as putative predictive biomarkers associated with tamoxifen sensitivity of hormone-dependent BC.
Socio-cultural analysis on a textbook Grow with English for students of elementary schools
Authors: Wati Yuli Yana , Sugesti Ikariya
Published: February 2023

Indonesian culture is often connected with the reality of life and it appears on textbook Grow with English. This research aims to analyze the representation of Indonesian culture on Grow with English textbook for third grade of elementary school. The problems of the research are the teacher only focuses on theory or language itself, without recognizing another aspect inside the textbook that is socio-cultural aspect. Students have difficultly to know Indonesian culture that appears on the English textbook. This research was descriptive qualitative by which the researcher interprets of Indonesian culture in the data of word and description from picture. The findings showed that there were various illustrations that indicated Indonesian culture, the characters’ name indicated of origin, traditional attribute that indicated of religion, traditional home living, traditional food, traditional toys and game, the last about physical appearance of the character and it is indicated socio-cultural aspect. Furthermore, for teachers who are interested in doing similar research, this research will be reference, it is appropriate English textbook for elementary school and as contribution to comprehend that Indonesian culture appears on Grow with English textbook and recommended to use it continually.

Keywords: socio-cultural; textbook; students of elementary school
Writing development in K-Pop stan Twitter communities
Authors: Darmawan Dinda Alifia , Izzah Lidiyatul
Published: February 2023

This research focuses on the use of language in social interactions, specifically within the context of K-Pop fans using social media platform Twitter to communicate with other fanbases. The study aims to determine the impact of the K-Pop community on Twitter on the writing skills of high school students in English. The research method employed is quantitative, using a sample of 100 high school students who are members of the K-Pop community on Twitter for at least a year and have studied English. Data was collected using a Likert scale. Results of the analysis indicate a significant effect of the Twitter community on the development of student's writing skills in English

Keywords: Twitter; K-Pop; Writing
The Construction of turn taking and interactional moves pragmatics analysis in drama Tarling Cirebon
Authors: ZA Dede Rosyadi
Published: February 2023

This study examines how turn construction talks and the conversational interaction movements that have been distributed by Cirebon Tarling drama actors that are in the form of conversation. Analysis of identity, motivation, and ideology complements this analysis to identify identity, motivation, and ideology which are the backgrounds for the turn construction of speech and the movement of conversation interactions. Data was obtained from two sources, namely first, the Cirebon Tarling drama entitled “Gila Harta Warisan” and “Mencari Wali Sejati”. The initial data is in the form of video. Then the researcher listens and looks at it and changes it into a conversation transcript. The method that used is descriptive method. Techniques used through transcription, recording, collection, reduction, and analyzing. The results of the study show the following: Identified turn taking construction and the construction of interactional moves in the Cirebon regional languages ??are not much different from English. It was identified that there were participants who started the conversation with small talk or older siblings. A person's identity plays an important role in acting speech. Identity influences the speech of the speaker. Motivation is the impulse of someone in acting well or acting in speech. In this study motivation becomes a person's background in speaking. Ideology is a person's principle in acting behavior and acting speech. The relation between the identity, motivation, and ideology of participants is very related.

keywords: turn taking; interactional moves; identity; motivation; ideology.
Augmenting scientific literacy through HOTS instruction in EFL classroom: Students’ perception
Authors: Wijaya Armeria
Published: February 2023

This paper examines students' perceptions of the current practice of using Higher Order Thinking Skills (HOTS) in the classroom to enhance their scientific literacy. The study was prompted by the traditional monotonous teaching of Sociolinguistics. Pre-observation activities revealed that students found the traditional sequence of classroom movement tedious and impractical in linguistics learning. Using students' presentations and classroom discussions as a learning strategy, which are considered low-order thinking skills, resulted in students not being engaged in the discussion. However, after learning with HOTS instructions, it was found that activities such as analyzing sociolinguistics phenomena, evaluating them, and proposing ideas for further research in the field of sociolinguistics, brought new perspectives to the learning experience. The results of the questionnaires, analyzed qualitatively, showed that students had positive perceptions of learning with HOTS instructions; their scientific literacy was competently advanced, the scientific knowledge was advantageous for their social and academic interactions, and they were able to identify connections between sociolinguistics and technology. In conclusion, English as a Foreign Language (EFL) students' scientific literacy can be enhanced through this type of instruction

 Keywords: Students’ Perception; Scientific Literacy; Augmenting Scientific Literacy; HOTS Instruction; EFL Classroom