bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated Lung Disease Detection and Classification Using Quantum Glowworm Swarm Optimizer with Quasi Recurrent Neural Network on Chest X-Ray Images
Authors: Vidyasri S. Et al. 
Published: December 2023

Lung diseases or otherwise called respiratory diseases are airborne diseases that affect the lungs and the other tissues of the lungs. Tuberculosis, Coronavirus Disease 2019 (COVID-19), and Pneumonia are a few instances of lung diseases. If the lung disease is diagnosed and treated in the initial stage, the chances of recovery rate and long-term survival rates can be increased. Usually, lung disease is identified by Chest X-Ray (CXR) image examination, skin test, sputum sample test, Computed Tomography (CT) scan examination, and blood test. Because of its non-invasive and convenient evaluation for overall outcomes of the chest situation, Lung disease can be detected by specialized radiologists on CXR images. In recent times, Deep Learning (DL) applies to medical images for disease detection and has proved an effective technique for detecting disease. The recent advancement of DL supports the detection and classification of lung diseases in medicinal imaging. This article presents an Automated Lung Disease Detection Using Quantum Glowworm Swarm Optimization with Quasi Recurrent Neural Network (QGSO-QRNN) model on CXR imaging. The presented QGSO-QRNN technique focuses on the identification of lung diseases using DL concepts. To accomplish this, the presented QGSO-QRNN technique initially performs image pre-processing by the use of the Gaussian Filtering (GF) technique. Besides, the Faster SqueezeNet approach is exploited for feature vector generation. Finally, the QRNN model is applied for precise classification of lung diseases with the QGSO technique as a hyperparameter optimizer. The investigational assessment of the QGSO-QRNN technique is examined by employing standard medical datasets and the outputs display the promising performance of the QGSO-QRNN technique over other existing techniques by means of diverse measures.
An Overview of Deep Learning Networks for Remote Sensing Applications
Authors: Gottapu Santosh Kumar Et al. 
Published: December 2023

To study and understand the world around us, remote sensing specialists rely on aerial and satellite photographs. Today, deep learning models necessitating extensive data or specialised data are employed in many remote sensing applications. Sometimes, the spatial and spectral resolution of Observation satellites of the planet earth will fall short of requirements due to technological constraints in optics and sensors, as well as the expensive expense of upgrading sensors and equipment. Insufficient information might reduce a model's efficiency. The efficiency of deep learning frameworks that rely on data can be improved by the use of a adversarial networks, which is a type of technique that can generate synthetic data. This is one of the best innovative developments in Deep Learning in past decade. GANs have seen rapid adoption and widespread success in the Remote Sensing sector. GANs can also perform picture-to-image translation, such as clearing cloud cover from a satellite image.This paper aims to investigate the applications of different Adversarial Networks in the remote sensing area and the databases used for training of GANs and metrics of evaluation.
Enhanced Cauchy Matrix Reed-Solomon Codes and Role-Based Cryptographic Data Access for Data Recovery and Security in Cloud Environment
Authors: Vijay R. Sonawane Et al. 
Published: December 2023

In computer systems ensuring proper authorization is a significant challenge, particularly with the rise of open systems and dispersed platforms like the cloud. Role-Based Access Control (RBAC) has been widely adopted in cloud server applications due to its popularity and versatility. When granting authorization access to data stored in the cloud for collecting evidence against offenders, computer forensic investigations play a crucial role. As cloud service providers may not always be reliable, data confidentiality should be ensured within the system. Additionally, a proper revocation procedure is essential for managing users whose credentials have expired. With the increasing scale and distribution of storage systems, component failures have become more common, making fault tolerance a critical concern. In response to this, a secure data-sharing system has been developed, enabling secure key distribution and data sharing for dynamic groups using role-based access control and AES encryption technology. Data recovery involves storing duplicate data to withstand a certain level of data loss. To secure data across distributed systems, the erasure code method is employed. Erasure coding techniques, such as Reed-Solomon codes, have the potential to significantly reduce data storage costs while maintaining resilience against disk failures. In light of this, there is a growing interest from academia and the corporate world in developing innovative coding techniques for cloud storage systems. The research goal is to create a new coding scheme that enhances the efficiency of Reed-Solomon coding using the sophisticated Cauchy matrix to achieve fault tolerance
PAPR and BER Analysis in FBMC/OQAM System with Pulse Shaping Filters and Various PAPR Minimization Methods
Authors: Allanki Sanyasi Rao Et al. 
Published: December 2023

Filter Bank Multicarrier with Offset Quadrature Amplitude Modulation(FBMC/OQAM) system design based on frequency sampling prototype filter takes into account the low frequency utilization of Orthogonal Frequency Division Multiplexing(OFDM) caused by adding Cyclic Prefix(CP). The CP decreases spectral efficiency and increases Peak to Average Power Ratio(PAPR). FBMC is an OFDM enhancement. In this paper to reduce the PAPR, we explained companding methods. We have proposed an FBMC that makes use of prototype pulse shaping filters which can be adjusted to meet system requirements in order to defeat these limitations. Due to its significant effect on the performance of FBMC-OQAM, choosing the right filter is crucial. Different prototype filters are used to investigate the performance of the FBMC-OQAM in this paper. Using the validated system, it was found that frequency utilization is more and good out-band suppression as well as an excellent application value in 5G technology. By using ?-law companding method, FBMC/OQAM provides better performance. It produces low PAPR, low out of band(OoB), high BER performance, less computational complexity and high spectral efficiency as compared to other methods.
Analysis of Recent Advances in Artificial Intelligence for Human Resource Management
Authors: Al-Onizat Hamdan Hasan 
Published: December 2023

Perhaps people once thought AI was something out of a science fiction novel. The majority of today's working population, however, is well aware that smart technology is actively reshaping the business world. It's true despite the fact that AI has traditionally been associated with science fiction. Human resources are one of the most notable uses of AI today, but it is not an exception to the rule that AI can be used to practically any sector or profession. According to the results of a recent survey conducted by Oracle and Future Workplace, human resource professionals are optimistic that AI will open up opportunities for learning new skills and gaining more personal time. Human resource experts will be able to take on greater responsibility and play a more strategic role inside their companies as a result.
Integrating Adam Optimizer to Enhance Efficiency of Transfer Learning Model for Diagnosing Cancers
Authors: Sushree Gayatri Priyadarsini Prusty Et al. 
Published: December 2023

Despite huge advancements in medical fields, diseases like cancer continue to plague people since we are still prone to them. The main purpose is to design a critical analysis of cancers, including breast, pancreatic, colon, skin, lung, and other cancers from the year 1990 to 2019, to identify some of the rising factors of both lung and colon cancers that cause unnecessary deaths. Thus, early detection on the other hand greatly improves the chances of survival rates in humans. At that place, Transfer Learning (TL) techniques have made significant improvements these days.
Material and Methods: We herein implemented the exploratory data analysis (EDA) technique to analyze 29 types of cancer deaths worldwide since 1990th century. Between them, we have emphasized lung cancer (LC) and colon cancers (CC) for our study and taken 25,000 histopathology image data from the publicly available Kaggle repository. Further, we proposed a novel methodology using the EfficientNetB7 model defining each step to classify five types of lung and colon tissues (two benign and three malignant) from the histopathological images. Although, an algorithm has been designed that clearly describes the workflow of our proposed method. This experiment has been done through input_shape=(X, Y, 3) on the ‘ImageNet’ dataset, Adam optimizer, and accuracy metrics using Python 3.8.8 software on Jupyter 6.4.3 environment.
Results: We evaluated the model progress using 50 epochs during the training phase, which resulted in more than 98% accuracy and less than 2% loss in both the training/ validation phases. Besides that, we designed a classification report that describes the performance of our model, where we achieved more than 98.07% accuracy score, 98% precision score, 98% of recall score, and 98% of f1-score. These results signify that implementing an optimization technique on the EfficientNetB7 model improves the overall performance as compared to 93.19% for LC 1 and 93.91% for CC 2 for the RestNet50 model.
Conclusion: A novelty of this research specifies the methodology to predict LC and CC by applying the EfficientNetB7 model to the cancer dataset which might be beneficial for both doctors as well as healthcare firms.
Nivel de conocimiento sobre toxoplasmosis en mujeres gestantes que asisten a consulta prenatal
Authors: Chávez Arévalo Mauricio Andrés , Roa Correa Stephani Tatiana , Terraza Cadavid Jorge Andrés , García Cuan Aracely 
Published: December 2023

Objetivo: En este trabajo se investigó el nivel de conocimiento sobre toxoplasmosis y sus factores de riesgo en mujeres gestantes que asisten a control prenatal, debido a que el bajo nivel de conocimiento de esta infeccion puede relacionarse directamente con aumento en su incidencia por la pobre percepcion de la poblacion respecto a los riesgos y consecuencias a futuro.
Metodología: A una muestra aleatoria de 93 mujeres en estado de embarazo, quienes estaban llevando sus controles prenatales en la Clinica General San Diego de Barranquilla, en el segundo trimestre de 2021, se aplicó una encuesta con preguntas de tipo binario relacionando el entendimiento sobre Toxoplasmosis y factores de riesgo para contraer la infecccion. La encuesta fue dividida en dos partes: una parte antes y la otra despues de una charla informativa sobre Toxoplasmosis, factores de riesgo, consecuencias para la salud y métodos de prevención. Se tuvo en cuenta, antecedentes clinicos, controles prenatales y nivel socioeconomico de las participantes.
Resultados: Se encontró que el 64,5% de las embarazadas desconocía qué es Toxoplasmosis y 66,6% los factores de riesgo y métodos de prevención.
Conclusiones: El nivel de conocimiento sobre la infeccion por Toxoplasma gondii encontrado en las gestantes que asistieron a control prenatal en la Clinica General San Diego, durante el periodo de estudio, es bajo.
Formation of a rational approach to teaching students of technical during the transition to distance learning
Authors: Якимович Б.А. , Горпинченко А.В. 
Published: December 2023

Представлены результаты исследования, целью которого стало формирование рационального подхода к обучению бакалавров и магистрантов очной и заочной форм обучения по направлениям подготовки 13.03.02 и 13.04.02 «Электроэнергетика и электротехника» с использованием систем гибридного интеллекта. Системы гибридного интеллекта рассматриваются как открытые системы, сочетающие в себе информационные и телекоммуникационные образовательные технологии с передовыми методами контактного обучения. Определены академические проблемы студентов и преимущества дистанционного обучения, а также пути использования его возможностей в кризисных ситуациях, влияющих на университетское образование. Сделан вывод о важности и востребованности современных информационных и телекоммуникационных образовательных технологий для студентов технических направлений очной и заочной форм обучения. Выделены задачи, решение которых позволит облегчить преподавателям процесс перехода на дистанционное обучение.
The results of the study are presented, the purpose of which was to form a rational approach to teaching bachelors and masters of full-time and part-time forms of study in the areas of training 13.03.02 and 13.04.02 “Electrical power and electrical engineering” using hybrid intelligence systems. Hybrid intelligence systems are considered as open systems that combine information and telecommunication educational technologies with advanced contact learning methods. The academic problems of students and the advantages of distance learning are identified, as well as ways to use its capabilities in crisis situations that affect university education. The conclusion is made about the importance and relevance of modern information and telecommunication educational technologies for students of technical areas of full-time and part-time forms of education. The tasks are identified, the solution of which will make it easier for teachers to transition to distance learning.
A modern model for optimizing the interaction between teachers and parents of elementary school students
Authors: Бурова В.С. 
Published: December 2023

Рассматривается одна из проблем современного школьного образования и общества в целом – проблема взаимодействия семьи и образовательного учреждения. Выделены ключевые понятия и термины проводимого исследования, представлены основные традиционные и инновационные формы взаимодействия педагогов и родителей обучающихся начальной школы. Обосновывается необходимость реализации сотрудничества школы и семьи с использованием современных цифровых технологий. На основе полученных научных данных создана и описана авторская модель оптимизации взаимодействия педагогов и родителей учащихся начальной школы, сделаны выводы и обозначены направления дальнейшей работы.
One of the problems of modern school education and society as a whole is considered – the problem of interaction between the family and the educational institution. The key concepts and terms of the ongoing research are highlighted, the main traditional and innovative forms of interaction between teachers and parents of elementary school students are presented. The necessity of implementing cooperation between the school and the family using modern digital technologies is substantiated. Based on the obtained scientifi c data, an author’s model for optimizing the interaction between teachers and parents of elementary school students was created and described, conclusions were drawn and directions for further work were outlined.
Formation of patriotic values ​​among students in the classroom in a foreign language in the educational process of the university
Authors: Талалаева Л.Н. , Сливин Т.С. 
Published: December 2023

Анализируется проблема формирования патриотических ценностей у будущих учителей. Выделены подходы и принципы организации патриотического воспитания, педагогические условия успешной реализации его задач. Определены чувства и умения, которые должны быть развиты у студентов в образовательном процессе. Показаны роль и воспитательные возможности краеведения. Представлены варианты включения краеведческого материала в различные темы учебного предмета «Иностранный язык».
The problem of formation of patriotic values among future teachers is analyzed. Approaches and principles of organizing patriotic education, pedagogical conditions for the successful implementation of its tasks are highlighted. The feelings and skills that should be developed among students in the educational process are determined. The role and educational possibilities of local history are shown. Options for including local history material in various topics of the subject “Foreign language” are presented.
Management in social work
Authors: Мельников С.В. 
Published: December 2023

Определена предметная область управления в социальной работе как совокупность финансовых, административных и иных факторов, влияющих на механизмы управления в социальной работе в России. Выделена теоретическая значимость исследования управления в социальной работе, заключающаяся в определении проблем эволюции управленческого механизма, которые происходят из существующей патерналистской модели социальной работы. Показана возможность исследования существующих недостатков системы социального обслуживания для ее совершенствования. Очерчен круг ресурсов, еще не задействованных в оказании помощи нуждающимся категориям граждан. Отмечено незначительное количество исследований и публикаций современных российских авторов по проблемам управления в социальной работе, систематизированы и дополнены существующие теоретико-методологические подходы.
The subject area of management in social work is defi ned as a set of financial, administrative and other factors influencing the mechanisms of management in social work in Russia. The theoretical significance of the study of management in social work is highlighted, which consists in identifying the problems of the evolution of the management mechanism, which originate from the existing paternalistic model of social work. The possibility of studying the existing shortcomings of the social service system for its improvement is shown. The range of resources not yet involved in providing assistance to needy categories of citizens is outlined. A small number of studies and publications by modern Russian authors on the problems of management in social work are noted, the existing theoretical and methodological approaches are systematized and supplemented.
C-Kit and Flt3 mutation status in acute myeloid leukaemia with cytogenetic correlation and prognosis: A series of 75 cases
Authors: Parikh Biren , Dhandapani Karthik , Shankaralingappa Sunitha , Sundarajan Udaya , Patel Jayendrakumar , Jethva Disha 
Published: December 2023

Recent WHO classification (5 edition) has included Acute Myeloid Leukaemia (AML) with mutations in NPM1, CEBPA as separate entities along with AML with cytogenetic abnormalities in AML with recurrent genetic abnormalities. Even though C-kit and FLT3 mutations in AML have no diagnostic importance, prognostic significance in different subtypes of AML for the presence of these mutations are not the same.To assess the correlation between French American British (FAB) AML classification, specific cytogenetic abnormalities with C-kit, and FLT3 mutation in AML and to evaluate the prognosis and survival of AML patients with respect to cytogenetic abnormalities and C-kit and FLT3 mutation status. Retrospectively all AML cases in which C-kit and FLT3 mutation status was assessed were retrieved; C-kit D816V mutation status had been assessed by Real time PCR; For FLT3 mutation, both Internal tandem duplication (ITD) and D835V mutation status had been assessed using PCR and gel electrophoresis; The data regarding morphological with immunophenotypic diagnosis, conventional karyotyping, FISH for translocation 8;21 (t (8;21)) and inversion16 / translocation16;16 (t (16;16) were also retrieved in all these cases along with follow-up from hospital records. Total 75 cases were included; Male/ Female ratio was 1.21:1 (41/34); Median age was 31 (Range: 2 - 64); 18 cases had translocation 8;21 (t (8;21)); 3 cases showed inversion16 / translocation16;16 (t (16;16); Out of the 18 cases which showed t (8;21), 10 cases had associated loss of sex chromosome. Eight cases had C-kit D816V mutation; three of which had t (8;21) while two had inversion 16. 12 cases had FLT3 mutations among which nine were ITD while three had D835V mutation. On karyotyping, one of these cases showed hyperdiploidy while the majority had normal karyotype. A single case had both C-kit D816V mutation and FLT3 D835V mutation with inversion 16 on karyotyping; Most common type of AML in both cases with FLT3 mutation and C-kit mutation was AML-M2 (FAB); Commonest karyotyping abnormality for cases with C-kit mutation was t(8;21); while for FLT3 mutation, the majority had normal karyotype; The single case which had both C-kit D816V mutation and FLT3 D835V mutation was alive event-free at three-year follow-up. Both FLT3 ITD and TKD mutations had a worse prognosis in our study. However, AML cases with C-kit mutation had a similar prognosis comparable to C kit negative cases. A large-scale study is required to elucidate the significance of this.
Multiple-lesion, non-familial basal cell carcinoma-An interesting oddity
Authors: Kadam Sameer Arun , Pardeshi Kirti G , Basalingappa Hoogar Mallinath , Bhasale Satish , Bhonsle Vaishali , Sampat Nakul , Valand Arvind 
Published: December 2023

Basal cell carcinoma (BCC) is the most common primary carcinoma of skin, which accounts for three-fourth of all primary skin tumours. Basal carcinoma occurs commonly as a single lesion, though occasionally it can occur as Multiple lesions, which may occur in close association with heredofamilial conditions such as nevoid basal cell carcinoma syndrome (Gorlin’s syndrome), Bazex syndrome, Rombo syndrome, and unilateral basal cell nevus syndrome. The case of multiple basal cell carcinomas being presented here is unique in its occurrence inasmuch as it is not associated with heredofamilial conditions, and despite not being associated with heredofamilial conditions there is occurrence of multiple basal carcinomas in a patient in a tertiary care hospital in a dominantly tribal region. The patient has no family history of genodermatosis that could increase the incidence of multiple basal cell carcinomas such as xeroderma pigmentosum, and no history of other predisposing conditions including actinic keratosis, Bowen’s Disease, leukoplakia, Erythroplasia of Queyrat, keratoacanthoma, radiation dermatitis and exposure to arsenicals, psoralen and other photosensitizing medications. However, the patient had history of having raised macules over the face which were diagnosed as seborrheic keratosis.