bluuebunny/crossref_metadata_2025 huggingface dataset:
Cochlear implantation in children with enlarged vestibular aqueduct (EVA): relationship to Pendred syndrome diagnosis, surgical outcomes, and radiological findings
Authors: Remjasz-Jurek Agnieszka , Clarós Pedro , Clarós-Pujol Astrid , Clarós Andres
Published: July 2023

Introduction

The cochlear implant (CI) procedure in patients with inner ear malformations is challenging. The aim of this study was to evaluate auditory perception and speech development in children with enlarged vestibular aqueduct (EVA) and to relate the results to the diagnosis of Pendred syndrome (PS), imaging findings, surgical course, and postoperative period.

Material and methods

The study group consisted of 49 children with EVA, aged 11 months to 15 years, with severe to profound hearing loss. The EVA patients included 22 with PS and 27 with nonsyndromic EVA (NSEVA). The control group consisted of 46 children with nonsyndromic deafness. Outcomes after cochlear implantation were evaluated annually for at least 10 years. Auditory performance was assessed by categories of auditory performance (CAP) and Meaningful Auditory Integration Scale (MAIS). Speech outcomes were evaluated by Speech Intelligibility Rating Scale (SIR) and Meaning Use of Speech Scale (MUSS). Genetic counselling, imaging studies, and vestibular testing were also evaluated when available.

Results

All patients included in the study benefited from cochlear implants, especially when implantation was performed before the age of 3 years. After CI, EVA patients (PS and NSEVA) achieved a steeper rate of increase in auditory perception and speech intelligibility, demonstrating higher scores at each follow-up point compared to nonsyndromic patients (NS). There were no differences in auditory and speech perception between NSEVA and PS patients. In addition to EVA, the most commonly diagnosed malformation was incomplete partition type 2 (IP-2), the presence of which negatively affected postoperative outcomes. During cochleostomy, cerebrospinal fluid (CSF)/perilymph leakage was observed in 50% of implanted ears, but its presence did not affect the final outcomes.

Conclusions

Early cochlear implantation is associated with satisfactory speech and auditory development in children with EVA. Due to the presence of inner ear malformations in patients with Pendred syndrome, detailed imaging of the temporal bone is indicated. Despite the frequent occurrence of CSF/perilymph leakage during cochleostomy, patients with EVA benefit satisfactorily from cochlear implantation.
As transformações socioespaciais e a apropriação territorial da região de Ipeúna, estado de São Paulo, Brasil1
Authors: Scotton de Carvalho Mara Ligia
Published: July 2023

O estudo analisa a apropriação territorial da região que abrange o município de Ipeúna, bem como áreas próximas às divisas com seus municípios limítrofes e estabelece como recorte temporal o período compreendido entre os séculos XVII e XX. Objetiva-se compreender o início e a consolidação da ocupação desse território, bem como investigar os agentes envolvidos nesse processo de povoamento, a partir do entendimento de sua relação com o contexto local e regional. Trata-se de identificar as transformações ocorridas após a constituição dos primeiros caminhos, as sesmarias doadas para essa região, e acompanhar as fragmentações sucedidas por meio dos primeiros registros oficiais de seus desmembramentos; em paralelo contextualizam-se os agentes que ocasionaram a organização do espaço e, ainda, as transformações de sua paisagem, em decorrência dos fatores históricos, sociais, econômicos, políticos, e culturais pertinentes ao processo.
La Educación para la Salud de la Cátedra Ambulante de Huelva (1956-1977)
Authors: Pérez Moreno Heliodoro Manuel , García Padilla Francisca Mª. , Gonzalez-Sanz Juan D. , Teresa-Morales Cristina
Published: July 2023

Con el objetivo de identificar la labor educadora en materia de salud realizada por las divulgadoras sanitario-sociales de las Cátedras Ambulantes de la Sección Femenina en la provincia de Huelva durante el periodo de 1956 a 1977, se ha realizado este estudio histórico, consultando fuentes primarias encontradas en el Archivo Histórico Provincial de Huelva. A través del Programa de Puericultura e Higiene, el curso de Madres Ejemplares, el curso de Socorrismo y otras acciones específicas se pretendió mejorar la Higiene y la Salud Pública en los 61 municipios donde la cátedra llegó, alcanzando con sus actuaciones a gran parte de la población de estas zonas rurales. Las principales destinatarias fueron las mujeres, pero los hombres también participaron en esta formación, recibiendo cursos de Higiene. La divulgadora de la Cátedra Ambulante contó con el apoyo de otros agentes sanitarios en su labor educadora, principalmente, el médico de la localidad, el practicante, o personal sanitario de empresas de la zona. La elevada asistencia y motivación por el programa de Educación para la Salud estuvo impulsado por la aplicabilidad del aprendizaje en lo cotidiano para satisfacer la necesidad de mejorar el estado de salud en un medio con escasos recursos.
Improvisation and Planning: Engaging With Unforeseen Encounters in Urban Public Space
Authors: Sand Anne-Lene , Førde Anniken , Pløger John , Poulsen Mathias
Published: July 2023

Despite the significant emphasis in Scandinavian cities on vital urban spaces and creative unfolding in urban development, there is a tendency towards designing for “finished” urban spaces with a pre-defined conclusion. The result is often standardised design and staged play, ignoring the diversity of lived experiences taking place in the here and now. How can urban spaces be generated to accommodate unforeseen encounters fostering moments of intensity, affect, and disorder? In this article, we explore the potential of improvisation in urban spaces by examining how urban public spaces facilitate improvisation in interactions between places, senses, materials, and participants. Improvisation is understood as a productive force in urban development that gives space to what occurs in urban encounters. The article draws on Richard Sennett’s concept of “disorder” and Jennifer Mason’s concept of “affinity.” By using design experiments and sensory and visual methods inspired by ethnographic methodology the article analyses two improvisational practices occurring in public spaces in Norway and Denmark, which emphasise the performative, affective, and sensory elements of urban life. The analysis brings forth a discussion of how improvisation unfolds in multimodal urban encounters, between order and disorder, and sensory and emotional connections. The authors argue for a more place-sensitive form of city-making and more improvisatorial urban designs that stimulate varied, spontaneous, and changeable use.
Blockchain-Empowered Security Enhancement IoT Framework in Building Management System
Authors: Tomar Uma , Gandhi Parul
Published: July 2023

Centralized architectures, like the cloud model, have their advantages, but they also come with drawbacks, such as higher upfront costs, longer deployment times, and a higher probability of catastrophic failure. Building Management Systems (BMS) is an application that can adopt Internet of Things (IoT) designs and services. However, implementing IoT in a highly modular environment with various moving parts and interdependencies between stakeholders can create security issues. Therefore, this paper proposes a system design using Blockchain technology as a means to protect and control the system, which includes the integration of IoT and BMS technologies. This paper has also included broad discussion on current Blockchain based IoT solution and its IoT limitations in Building Management Systems.
Generative Adversarial Networks as a Data Augmentation Tool for Handwritten Digits
Authors: Rayavarapu Swarajya Madhuri , Prashanthi Tammineni Shanmukha , Kumar Gottapu Santosh , Rao Gottapu Sasibhushana , Yegireddy Narendra Kumar
Published: July 2023

In the field of data processing, handwritten digit recognition (HDR) has proven to be of great use. However, due to the vast differences in how different people write, accurate recognition of such characters from images is a challenging job. The labelled samples necessary for supervised learning methods are not always easy to come by. For instance, a lot of labelled examples are needed to train a model in deep learning approaches, where all the feature extraction steps are learned within the artificial neural network. To get around this problem, data augmentation methods can be used to fill in the gaps using variations in an example's label that are already known. The Generative Adversarial Network (GAN) is able to generate random samples from the latent space that are statistically indistinguishable from the training set's actual examples. In this study, we leverage the powerful features of GAN to learn from the MNIST data set and produce digital images of handwriting.
Sentiment Classification Using a Sense Enriched Lexicon-based Approach
Authors: Srivastava Anima , Srivastava Amit , Siddiqui Tanveer J.
Published: July 2023

The prominent approach in sentiment polarity classification is the Lexicon-based approach which relies on a dictionary to assign a score to subjective words. Most of the existing work use score of the most dominant sense in this process instead of using the contextually appropriate sense. The use of Word Sense Disambiguation (WSD) is less investigated in the sentiment classification tasks. This paper investigates the effect of integrating WSD into a Lexicon-based approach for Sentiment Polarity classification and compares it with the existing Lexicon-based approaches and the state-of-art supervised approaches. The lexicon used in this work is SentiWordNet v2.0. The proposed approach, called Sense Enriched Lexicon-based Approach (SELSA), uses a word sense disambiguation module to identify the correct sense of subjective words. Instead of using the score of the most frequent sense, it uses the score of the contextually appropriate sense only. For the purpose of comparison with the supervised approaches, the authors investigate Naïve Bayes (NB) and Support Vector Machines (SVM) classifiers which tend to perform better in earlier research. The performance of these classifiers is evaluated using Word2vec, Hashing Vectorizer, and bi-gram feature. The best-performing classifier-feature combination is used for comparison. All the evaluations are done on the Movie Review dataset. SELSA achieves an accuracy of 96.25% which is significantly better than the accuracy obtained by SentiWordNet-based approach without WSD on the same dataset. The performance of the proposed algorithm is also compared with the best-performing supervised classifier investigated in this work and earlier reported works on the same dataset. The results reveal that the SVM classifier performs better than SentiWordNet approach without WSD. However, after incorporating WSD the performance of the proposed Lexicon-based approach is significantly improved and it surpasses the best-performing supervised classifier (SVM with bi-gram features).
Security in 5G Networks: A Systematic Analysis of High-Speed Data Connections
Authors: Prasad V. Maruthi , Bharathi B.
Published: July 2023

Maximum user systems on 5G networks will now not be consumer phones or computers, but IoT device. Via 2021, there might be about 30 billion such devices. The quantity of attacks on the IoT is growing. Device protection is terrible and malware distribution is without problems scalable. Protection has ended up the primary challenge in many telecommunications industries these days as risks may have high outcomes. especially, because the center and enable technologies might be related to the 5G network, the confidential information will pass at all layers in destiny Wi-Fi structures. Even with modern-day 4G networks, now not each operator succeeds in securely configuring the center network and protecting it from all angles. As SDN and NFV are carried out for network cutting in 5G, the administration will become even extra difficult. Flexibility in 5G networks comes at the fee of multiplied complexity and high bandwidth communication settings to monitor. 5G will offer broadband access anywhere, entertain better person mobility, and permit connectivity of a large number of devices in an ultra- reliable and low-priced manner. Furthermore, we present protection solutions to those demanding situations and future instructions for secure 5G systems.
Controller Placement in Vehicular Networks: A Novel Algorithm Utilizing Elite Opposition-Based Salp Swarm and an Adaptable Approach
Authors: Pathak Sanjai , Mani Ashish , Sharma Mayank , Chatterjee Amlan
Published: July 2023

The rapid advancement of networking technology has enabled small devices to have communication capabilities, but the current decentralized communication system is not ideal for heterogeneous networks like vehicular networks. The integration of routing, switching, and decision-making capabilities in the same network device limits innovation and impedes performance in decentralized networks, especially in vehicular networks where network topologies change frequently. To address the demands of such networks, Software-Defined Networking (SDN) provides a promising solution that supports innovation. However, SDN's single-controller-based system may restrict the network's operational capabilities, despite being programmable and flexible. This paper suggests two methods to tackle the complex problem of controller placement in SDN: an adaptable approach based on OpenFlow protocol in OpenNet and an evolutionary algorithm called Elite Opposition-Based Salp Swarm Algorithm (EO-SSA) to minimize propagation latency, load imbalance, and network resilience. Multiple controllers increase the network's capabilities and provide fault tolerance, but their placement requires a trade-off among various objectives. The proposed methods have been evaluated and analyzed to confirm their effectiveness. The current decentralized network system is not adequate for vehicular networks, and SDN offers a promising solution that supports innovation and can meet the current demands of such networks.
Fuzzy Inference System-based Geo Visualization Tool Development for Yamuna River Water Quality Analysis
Authors: Zehra Rahat , Singh S.P. , Verma Jyoti
Published: July 2023

An analysis of Yamuna River Water Quality through the use of a Fuzzy Inference System illustrates the capabilities of artificial intelligence in the development of novel Geovisualizer. Numerous Geovisualizer systems exist worldwide, but none can estimate water quality with artificial intelligence instead, relying on statistical data that vary with the scenario and have dubious accuracy. This logic has not been applied to the classification of Water Quality Standards by any designated government agency for water quality monitoring and management. A robust and integrated application program interface is developed by combining MongoDB and JavaScript library utilities Leaflet.js, Node.js, ArcGIS, ERDAS Imagine, and Fuzzy Algorithm; embellished with HTML and CSS. The Yamuna River is considered for the spatial-temporal aspect of the application. End users can authenticate with JSON web tokens. Spatial and non-spatial data are visualized by Inverse Distance Weighted Interpolation technique of ArcGIS. The Water Quality Index can be calculated using combinations of critically chosen input parameters integrated through frontend and backend functionality that incorporates fuzzy set theory with input from a Geovisualizer database and frontend platforms; not available on the existing geovisualization platform. With its scalability, extensibility, and execution speed, the resultant 121RRwebgis Geovisualizer outperforms conventional applications. Thus, a robust platform for global researchers is developed.
Automotive Movie Recommendation System based on Natural Language Processing
Authors: Bagane Pooja , Gonge Sudhanshu , Joshi Rahul , Jebessa Obsa Amenu
Published: July 2023

People are puzzled about which movie to watch these days because there are so many movies available on various OTT platforms. A recommender system would solve this problem by recommending the best movie to the user based on his genre, actor, director, and rating preferences. The cosine similarity principle would be used to guide the recommendation system. Apart from that, we will use the Tfidftransformer and count vectorizer from the sci-kit-learn library in Python in this work. In this study work, all of the approaches' constraints have been described. All of this work was done using datasets from several OTT platforms that were available on Kaggle.
A Research Perspective on Data Management Techniques for Federated Cloud Environment
Authors: Kolekar Vikas K , Sakhare Sachin R
Published: July 2023

Cloud computing has given a large scope of improvement in processing, storage and retrieval of data that is generated in huge amount from devices and users. Heterogenous devices and users generates the multidisciplinary data that needs to take care for easy and efficient storage and fast retrieval by maintaining quality and service level agreements. By just storing the data in cloud will not full fill the user requirements, the data management techniques has to be applied so that data adaptiveness and proactiveness characteristics are upheld. To manage the effectiveness of entire eco system a middleware must be there in between users and cloud service providers. Middleware has set of events and trigger based policies that will act on generated data to intermediate users and cloud service providers. For cloud service providers to deliver an efficient utilization of resources is one of the major issues and has scope of improvement in the federation of cloud service providers to fulfill user’s dynamic demands. Along with providing adaptiveness of data management in the middleware layer is challenging. In this paper, the policies of middleware for adaptive data management have been reviewed extensively. The main objectives of middleware are also discussed to accomplish high throughput of cloud service providers by means of federation and qualitative data management by means of adaptiveness and proactiveness. The cloud federation techniques have been studied thoroughly along with the pros and cons of it. Also, the strategies to do management of data has been exponentially explored.
Improved QoS with Fog computing based on Adaptive Load Balancing Algorithm
Authors: Saurabh Saurabh , Dhanaraj Rajesh Kumar
Published: July 2023

As the number of sensing devices rises, traffic on the cloud servers is boosting day by day. When a device connected to the IoTwants access to data, cloud computing encourages the pairing of fog & cloud nodes to provide that information. One of the key needs in a fog-based cloud system, is efficient job scheduling to decrease the data delay and improve the QoS (Quality of Service). The researchers have used a variety of strategies to maintain the QoS criteria. However, because of the increased service delay caused by the busty traffic, job scheduling is impacted which leads to the unbalanced load on the fog environment. The proposed work uses a novel model which curates the features and working style of Genetic algorithm and the optimization algorithm with the load balancing scheduling on the fog nodes. The performance of the proposed hybrid model is contrasted with the other well-known algorithms in contrast to the fundamental benchmark optimization test functions. The proposed work displays better results in sustaining the task scheduling process when compared to the existing algorithms, which include Round Robin (RR) method, Hybrid RR, Hybrid Threshold based and Hybrid Predictive Based models, which ensures the efficacy of the proposed load balancing model to improve the quality of service in fog environment.
Outlier Detection Mechanism for Ensuring Availability in Wireless Mobile Networks Anomaly Detection
Authors: L.Esteban Allen Paul , Cochanco Alexander , Aquino Jet , Sonza Rolaida
Published: July 2023

Finding things that are significantly different from, incomparable with, and inconsistent with the majority of data in many domains is the focus of the important research problem of anomaly detection. A noteworthy research problem has recently been illuminated by the explosion of data that has been gathered. This offers brand-new opportunities as well as difficulties for anomaly detection research. The analysis and monitoring of data connected to network traffic, weblogs, medical domains, financial transactions, transportation domains, and many more are just a few of the areas in which anomaly detection is useful. An important part of assessing the effectiveness of mobile ad hoc networks (MANET) is anomaly detection. Due to difficulties in the associated protocols, MANET has become a popular study topic in recent years. No matter where they are geographically located, users can connect to a dynamic infrastructure using MANETs. Small, powerful, and affordable devices enable MANETs to self-organize and expand quickly. By an outlier detection approach, the proposed work provides cryptographic property and availability for an RFID-WSN integrated network with node counts ranging from 500 to 5000. The detection ratio and anomaly scores are used to measure the system's resistance to outliers. The suggested method uses anomaly scores to identify outliers and provide defence against DoS attacks. The suggested method uses anomaly scores to identify outliers and provide protection from DoS attacks. The proposed method has been shown to detect intruders in a matter of milliseconds without interfering with authorised users' privileges. Throughput is improved by at least 6.8% using the suggested protocol, while Packet Delivery Ratio (PDR) is improved by at least 9.2% and by as much as 21.5%.
Enhancing Skin Cancer Diagnosis with Deep Learning-Based Classification
Authors: N. Gangatharan , S. Muthumanickam , R. Rajagopal , V. Sudharsanam , K. V. Sai Rakesh , Kumaran B. Sanjive
Published: July 2023

The diagnosis of skin cancer has been identified as a significant medical challenge in the 21st century due to its complexity, cost, and subjective interpretation. Early diagnosis is critical, especially in fatal cases like melanoma, as it affects the likelihood of successful treatment. Therefore, there is a need for automated methods in early diagnosis, especially with a diverse range of image samples with varying diagnoses. An automated system for dermatological disease recognition through image analysis has been proposed and compared to conventional medical personnel-based detection. This project proposes an automated technique for skin cancer classification using images from the International Skin Imaging Collaboration (ISIC) dataset, incorporating deep learning (DL) techniques that have demonstrated significant advancements in artificial intelligence (AI) research. An automated system that recognizes and classifies skin cancer through deep learning techniques could prove useful in the medical field, as it can accurately detect the presence of skin cancer at an early stage. The ISIC dataset, which includes a vast collection of images of various skin conditions, provides an excellent opportunity to develop and validate deep learning algorithms for skin cancer classification. The proposed technique could have a significant impact on the medical industry by reducing the workload of medical personnel while providing accurate and timely diagnoses..
CCNN: An Artificial Intelligent based Classifier to Credit Card Fraud Detection System with Optimized Cognitive Learning Model
Authors: Vetrivendan L. , Kumar Ganesh
Published: July 2023

Nowadays digital transactions play a vital role in money transaction processes. Last 5 years statistical report portrays the growth of internet money transaction especially credit card and unified payments interface. Mean time increasing numerous banking threats and digital transaction fraud rates also growing significantly. Data engineering techniques provide ultra supports to detect credit card forgery problems in online and offline mode transactions. This credit card fraud detection (CCFD) and prevention-based data processing issues raising because of two major reasons first, classification rate of legitimate and forgery uses is frequently changing, and next one is fraud detection dataset values are vastly asymmetric. Through this research work investigating performance of various existing classifier with our proposed cognitive convolutional neural network (CCNN) classifier. Existing classifiers like Logistic Regression (LR), K-nearest neighbor (KNN), Decision Tree (DT) and Support Vector Machine (SVM). These models are facing various challenges of low performance rate and high complexity because of low hit rate and accuracy. Through this research work we introduce cognitive learning-based CCNN classifier methodology with artificial intelligence for achieve maximum accuracy rate and minimal complexity issues. For experimental data analysis uses dataset of credit card transactions attained from specific region cardholders containing 284500 transactions and its various features. Also, this dataset contains unstructured and non-dimensional data are converted into structured data with the help of over sample and under sample method. Performance analysis shows proposed CCNN classifier model provide significant improvement on accuracy, specificity, sensitivity and hit rate. The results are shown in comparison. After cross-validation, the accuracy of the CCNN classification algorithm model for transaction fraudulent detection archived 99% which using the over-sampling model.
A Novel IoT-based Framework for Urine Infection Detection and Prediction using Ensemble Bagging Decision Tree Classifier
Authors: Anisha Anisha , Sabharwal Munish , Tripathi Rohit
Published: July 2023

One of the most common conditions treated in adult primary care medicine is Urinary Tract Infection (UTI), which accounts for a sizeable portion of antibiotic prescriptions. A high degree of diagnostic accuracy is necessary because this issue is so prevalent and important in everyday clinical practice. Particularly in light of the rising prevalence of antibiotic resistance, excessive antibiotic prescriptions should be avoided. To examine the machine learning approach and Internet of Things (IoT) for urinary tract infections, this research proposes an Ensemble Bagging Decision Tree Classifier (EBDTC). In our study, to learn more about UTI, we conducted a study in which we collected the physiological data of 399 patients and preprocessed them using the min-max scalar normalization. Feature extraction using Principle Component Analysis (PCA) and classification using Ensemble Bagging Decision Tree Classifier (EBDTC). The performance outcomes of accuracy (96.25%), precision(96.22%), recall (98.07%), and f-1 measure(97.17%) demonstrate the proposed strategy's significantly improved performance in comparison to other baseline existing techniques.
Non-invasive Ventilation to Provide a More Positive Outlook in Neuromuscular Disease: An Update on the CHEST Guidelines
Authors: Butzko Ryan ,   Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA, Lapinel Nicole ,   Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA, Greenberg Harly ,   Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA
Published: July 2023

In this editorial, the American College of Chest Physicians (CHEST) guidelines for the respiratory management of patients with neuromuscular disease are discussed. The importance of personalizing treatment to the patient by using specific modalities of non-invasive ventilation is discussed, with emphasis on its benefits and the endpoints of successful treatment and the management of bulbar symptoms, such as secretion management and cough assistance. Finally, disease monitoring and the management of expectations throughout the course of the disease are explored.
The Case for Rhodobacter Sphaeroides as a probiotic: Applications for Human Health and Ulcerative Colitis
Authors: St-Laurent Tristan
Published: July 2023

In this short review, the mechanisms through which the probiotic administration of non-pathogenic bacterium Rhodobacter Sphaeroides could contribute to human health in general, and more specifically, the treatment of ulcerative colitis, are explored. This review is built around the concept that the mitochondrion is the key player in the pathogenesis of ulcerative colitis, and proposes ways that the probiotic could contribute to a more optimal environment for mitochondrial functioning, namely through reduction of inflammation and production of beneficial compounds like ubiquinone and bacteria-derived carotenoids. It concludes with the current state of the research involving Rhodobacter Sphaeroides as a probiotic and suggests possible future directions.
Mucopolysaccharidosis: An overview and new treatment modalities
Authors: Silvia CR Wilma Delphine , Atre Akshay , Shivakumar Preksha , Chakraborty Arpita
Published: July 2023

Mucopolysaccharidosis is a lysosomal storage disorder, caused due to deficiency of enzymes required for the breakdown of Mucopolysaccharides. These undegraded Mucopolysaccharides accumulate in various tissues and cause characteristic features like neurological deficit, impaired motor function, developmental delay, hearing loss, behavioral problems, corneal clouding, glaucoma, respiratory distress, coarse facial features, skeletal deformities, and organomegaly. Based on deficient enzymes they have divided into subtypes Mucopolysaccharidosis I (MPS I) Hunter syndrome (I H / I HS / I S), Mucopolysaccharidosis II(MPS II) Hunter syndrome (severe and mild form), Mucopolysaccharidosis III (MPS III) Sanfilippo syndrome, Mucopolysaccharidosis IV(MPS IV) Morquio syndrome, Mucopolysaccharidosis VI(MPS VI) Maroteaux Lamy syndrome, Mucopolysaccharidosis VI (MPS VII) Sly syndrome. Diagnosis is classically based on clinical examination and urine analysis. Enzyme assay can also aid in diagnosis. Chorionic villi sampling and amniocentesis are also becoming popular. The main objective of treatment is to improve the quality of life. Symptomatic management includes daily exercise, physiotherapy, tonsillectomy, shunting surgery, and corneal transplantation. There are various recent concepts utilized for the treatment of Mucopolysaccharidosis. This review article emphasizes such treatment aspects as Hematopoietic stem cell therapy, Enzyme replacement therapy, Gene therapy, Nano-enabled therapy, and Substrate reduction therapy.
Assessment of cardio-vascular disease risk in diabetic population of Northern India
Authors: Shekhar Ravi , Surit Richa , Keshari Jiut Ram , Prakash Pritam , Kumari Sweta
Published: July 2023

: Type 2 Diabetes mellitus (DM) is a chronic metabolic disorder. India has 72.9 million people living with diabetes (8.8%). The Cardio Vascular Disease (CVD) risk increases in patients with Type 2 diabetes. The Non-HDL-C level includes cholesterol carried in several atherogenic lipoproteins. The estimation of non-HDL-C may provide a better means to follow these patients toward their treatment goals. The study compares the level of non-HDL-C in non diabetic, pre-diabetic and diabetes patients and their occurrence of dyslipidemia.

: The study group included 1418 patients and were grouped as – Non diabetic, pre-diabetic and Diabetic, having age group of 20 to 85 years. The Male:Female ratio was 1.9:1. Their blood samples were analysed in Clinical Biochemistry Laboratory on automated chemistry analyzer with quality checks.

: The Non Diabetic group (HbA1c<5.7%) had 564 patients having Non-HDL-C 127.85±1.79 mg/dl; the Pre-Diabetic group (HbA1c-5.7-6.4%) had 316 patients with Non-HDL-C 132.37±2.35 mg/dl and Diabetic group (HbA1c >6.4%) had 538 patients and its non HDL-C was 148±4.27 mg/dl.

: This study showed the groups, pre-diabetic and diabetic, had Non-HDL-C >130mg/dl. An increase in Non-HDL-C levels is associated with increased risk of CVD according to Adult Treatment Panel (ATP) III guidelines.
Impact of anemia on HbAC level in type 2 diabetes mellitus patients
Authors: Gulavani Gouri Avadhut , Panchbudhe Sanjyoti Ankur , Gawade Shubhangi Haribhau , Mujawar Farheen B
Published: July 2023

HbA1c is one of the important laboratory markers of blood glucose levels monitoring over last 2-3 months. Studies have shown that many factors affect HbA1c levels, hence it is not the only investigation to diagnose diabetes mellitus. As both iron deficiency anaemia and diabetes mellitus are highly prevalent disorders, effect of iron deficiency anaemia on HbA1C need to be evaluated. Many factors such as haemolytic anaemia, vitamin deficiencies, pregnancy. Kidney disease, haemoglobin variants can affect HbA1C levels.

This study had two groups of participants. Group 1 included diabetic patients with iron deficiency anaemia and group 2 included diabetic patients without iron deficiency anaemia. Significant correlation between HbA1C and iron deficiency anaemia has been found. PCV, MCH, MCHC, MCV are low in diabetics with Iron deficiency anaemia and high in diabetics without iron deficiency anaemia. Need for anaemia screening before treatment planning of diabetes based on HBA1C levels must be considered and for optimal diabetes control, treating anemia is necessary.
Assessment of alpha-fetoprotein clinical performances in the diagnosis of the hepatocellular carcinoma at Sominé DOLO hospital of Mopti
Authors: Coulibaly Modibo , Kondé Adama , Traoré Djibril , Bah Ousmane , Sagara Valentin , Maiga Bakary
Published: July 2023

Serum AFP as a poor clinical performance values especially when it comes to deal with the early and AFP-negative diagnostic of HCC. The aim of this work was to assess the contribution of AFP in the diagnosis of HCC.

: A total of 95 subjects was enrolled a prospective observational study by consecutive enrolment and divided in two groups. The first group was made up with subjects in whom the diagnosis of HCC had been retained while the second was the control group which was free of HCC. AFP levels were performed by electrochemiluminescence immunoassay on the cobas e411. Data were captured in Excel and analyzed by Ri386 version 4.1.2 binary for macOS 10.13.

The Log of median of AFP in HCC subjects was significantly greater than in non HCC subjects 6.91 ng/mL versus 1.43 ng/mL, Wilcoxon < 0.001. At the cut-off of 200 ng/mL, the clinical performances showed an acceptable sensitivity 97.1% CI 95% [93.7 – 100] but a poor specificity 73,8% CI 95% [64.9 – 82.6] and out of the 34 cases of HCC, one case (2.9%) was AFP-negative HCC.

our data show an acceptable sensitivity but a weak specificity of AFP as a biomarker for HCC at cut-off 200 ng/mL. This suggests that AFP should be used with other biomarkers mainly for the early and AFP-negative HCC diagnosis.
filosofía como cuidado de sí y cuidado del otro
Authors: Schutijser Dennis
Published: July 2023

El presente artículo presenta los temas comunes con respecto a la filosofía como cuidado. La primera distinción es entre el cuidado de uno mismo y el cuidado del otro. Dentro del marco de la filosofía como cuidado de uno mismo, la siguiente distinción es entre un enfoque en diferentes formas de felicidad, por un lado; y un enfoque en la cuestión del significado en el otro. Dentro del marco de la filosofía como cuidado por el otro, otra distinción es entre el cuidado por el otro basado en una vulnerabilidad compartida y el requisito concomitante de atender al otro en el cuidado de sí mismo; y sobre una fragilidad personal frente al otro y la apelación a nuestra responsabilidad de cuidar al otro.

El objetivo del artículo, más allá de presentar una breve presentación de los debates actuales más importantes sobre la filosofía como cuidado, es mostrar que, en muchos sentidos, tal concepto de cuidado desde el punto de vista de la filosofía superará las expectativas y presentará la filosofía como una práctica que más bien perturba, problematiza y subvierte la práctica común de cuidado, en lugar de reforzarla.
Maestrías literarias atrapadas en cuerpo de mujer
Authors: Arevalo Emily
Published: July 2023

El Boom latinoamericano fue lo que fue debido al contexto sociocultural y literario en el que se desenvolvió: los años 60 y 70. No es posible negar esta afirmación. Por ende, se puede atribuir la concepción de la literatura que se forjó alrededor del movimiento a la fuerte influencia social de la época. Uno de los rasgos que saltan a la vista es la falta de presencia de nombres femeninos en la lista de autores del Boom. Si bien una explosión literaria a tal escala no puede ser planificada minuciosamente, esto no significa que el epíteto “club de machos” sea inapropiado para caracterizar al movimiento.
Lo místico en lo terrenal en "Las siete obras de misericordia" de Caravaggio
Authors: Gualpa Carolina
Published: July 2023

El estilo naturalista de Caravaggio causó que críticos como Bellori y Baglione cuestionaran su valor artístico; sin embargo, el naturalismo hace que las pinturas de Caravaggio cobren vida ante el espectador y lo conmuevan. En “Las siete obras de misericordia”, el artista no solo plasma la realidad de la sociedad napolitana, sino que muestra la posibilidad del perdón y la salvación, habilitada gracias a las obras de misericordia. Para comprender mejor lo que se consideraba “buen arte” en el barroco italiano, se usaron los textos originales que Bellori y Baglione escribieron con respecto a Caravaggio. De igual manera, se estudió la pintura por partes para entenderla a mayor profundidad y analizar el rol de cada personaje en la escena, al igual que la luz como representación de la gracia. Finalmente, se concluye que la pintura, al representar fielmente la naturaleza humana, a la vez que le otorga misticismo, provoca que en el observador surja la esperanza de que la salvación es posible. Así, el naturalismo en esta pintura responde a las preocupaciones del arte barroco de la Contrarreforma, y logra conmover y convencer a quien la observa.
Исследование фотокаталитических процессов на поверхности порошковых гетероструктур на основе системы CuO-MoO3
Authors: Штарев Д. С , Белозерова Л. А , Ван Х.
Published: July 2023

Фотокаталитическая деградация загрязняющих веществ является сложной и одной из наиболее востребованных задач в экологических науках. Одним из основных направлений гетерогенного фотокатализа [1] является поиск новых твердотельных фотокаталитических материалов, активных в видимом свете. В последние годы в качестве катализаторов находят применение молибдаты переходных металлов. Так, например, молибдат меди CuMoO4 выступает в качестве эффективного катализатора для дожигания сажи [2], проявляет свойства электрокатализатора в реакции выделения кислорода [3] или восстановления углекислого газа [4]. Данный катализатор применяется также для деструкции органических соединений, в частности, химических красителей.
Эффективность профилактических прививок против COVID-19 и заболеваемости корона вирусной инфекции население Сузакского района Жалал-Абадской области в период 2021г.
Authors: Чолпонкулова Б.М , Калаева Г.С , Темиров Н.М , Темирова В.Н
Published: July 2023

В статье отражены анализ профилактических прививок против COVID-19 население Сузакском районе Жалал-Абадской области в период 2021года. Вакцинация начато с вакциной Vero-Cell, последующем вакцинация проводилось разными видами вакцин: - Спутник V, Astra Zeneca, Qaz Vac, Pfizer – BioNTech, Спутник – Light, Moderna mRNA-1273. По району подлежало к профилактическим прививкам – 103003 человек старшее 18 лет. Привито 1 дозой – 67107 (65,2%) человек, 2 дозой – 52491 (51%) человек и 3 дозой (бустерная доза) - 2319 (4,4%). Организация вакцинации среди населения против корона вирусной инфекции в апреле 2021г, привело локализации и снижение заболеваемости COVID-19 в осенний период среди населения района и области, создала условии формировании коллективного иммунитета, который препятствовали возникновению повторных вспышек заболевания.
Наследие русской литературы в горском фольклоре северокавказских писателей
Authors: Ачох Б.Д.
Published: July 2023

Процесс исследования наследия русской литературы и литературы народов СССР не завершен, он продолжается на протяжении современности. Послереволюционное время характеризуется глобальном переосмыслением взаимоотношений человека и окружающего мира. Писатели находят новые приемы художественной изобразительности, вводя в литературу народ и человека из народа в качестве творцов истории. В литературе идет упор в пользу моральных ценностей, принципов души и совести. Главное требование этого времени — преимущественное внимание к рядовому человеку, отрицание лжи, искренность и исповедальность.
Национальные литературные традиции в произведениях писателей Северного Кавказа
Authors: Ачох . Б.Д
Published: July 2023

В данной статье выделяются национально-этические концепции литератур Северного Кавказа, национальная специфика, проблемы взаимосвязи фольклора и литературы. В современных литературных исследованиях отмечается, что особый интерес у кавказских писателей вызывает жанр эпической поэмы, т.к. в таком крупном эпическом жанре читатель находит воплощение коренных социально-нравственных, гуманистических идеалов народа с позиций углубленного историзма и народности. Современные произведения Северного Кавказа раскрывают новые, не встречающиеся в фольклорных источниках сюжетные мотивы, профессионально углубляет и художественно обогащает социальное звучание традиционных, выработанных и накопленных вековым народным опытом тем, мотивов и образов.
Русские национальные безэквивалентные фразеологические единицы
Authors: Блинова А.А.
Published: July 2023

В данном исследовании рассмотрены уникальные фразеологические элементы, которые называются безэквивалентными фразеологическими единицами. Нами сделаны выводы о специфики данного явления, изучены и представлены возможные причины его возникновения. Приведены примеры реализации его в языке. Кроме того, мы попытались указать на необходимость сохранения таких фразеологических элементов для будущих поколений.
Особенности перевода текстов по техническому направлению
Authors: Воронцова Ю.А , Карасева Е.В.
Published: July 2023

Данная статья посвящена особенностям перевода текстов технической тематики с английского языка на русский. В статье рассмотрены лексические единицы по техническому направлению, указывается назначение технических терминов, приведены примеры и особенности их перевода с учётом возникающих у переводчика трудностей, приведены некоторые рекомендации по переводу английского языка технического направления
Иноязычная коммуникативная компетенция: формирование и совершенствование посредством интерактивных дидактических материалов
Authors: Гусева А.Х
Published: July 2023

Публикация посвящена методике обучения иностранному языку как языку специальности в контексте формирования и совершенствования иноязычной коммуникативной компетенции. Приведена классификация иноязычных компетенций, проанализирована их взаимосвязь и взаимозависимость в различных трактовках. Представлены дидактические материалы, проанализирована образовательная эффективность комплекса интерактивных заданий.
Китайские мемы как способ изображения стереотипов о России
Authors: Ефимова А.Н. , Ордахова Т.В
Published: July 2023

В статье затрагивается тема стереотипов о России, так как в эпоху глобализации, когда страны со всех уголков мира поддерживают политические, экономические, культурные связи, стереотипы особенно выражают отношения стран к друг другу, что может повлиять на взаимное восприятие разных народов и сотрудничество государств. Сейчас, когда российскокитайские отношения являются особенно близкими, важно выявить, какое впечатление мы вызываем у китайцев, какими они видят нас, и как жители Поднебесной выражают свое представление о жителях России в мемах, которые являются сейчас одними из самых важных и популярных единиц в интернет-пространстве.
Манипулятивные стратегии в англоязычной рекламе косметики
Authors: Маннапова Р.М.
Published: July 2023

В статье изложен материал о современных стратегиях манипуляции в англоязычной рекламе косметических средств. Манипуляции не только побуждают человека, находящегося под воздействием, делать то, чего желают другие, – они заставляют хотеть это сделать. Также представлены теоретические аспекты изучения проблемы: анализ понятий «реклама» и «манипуляция», а также классификация манипулятивных стратегий и некоторых лингвистических средств манипуляции.
Об искусственных словах в современном немецком языке
Authors: Ревеко Л.С , Тимоничев А.В.
Published: July 2023

В статье рассматривается класс искусственных слов в современном немецком языке, анализируется их словообразовательная и грамматическая структура, наиболее типичные способы создания и функционирование в языке.
Адъективированные существительные в языке рекламы
Authors: Рябцова Н.И
Published: July 2023

Статья посвящена исследованию употребления адъективированных существительных во французских рекламных текстах. Именно словосочетания из двух существительных, одно из которых играет роль прилагательного, придают рекламному слогану оригинальность, образность, и экспрессивность
П.С. Паллас – исследователь и собиратель материалов по марийскому языку
Authors: Сергеев . О.А
Published: July 2023

В статье рассматривается деятельность немецко-русского учёного П.С. Палласа. По инициативе Российской Академии наук он стал руководителем 1-й Оренбургской экспедиции. В течение шестилетнего путешествия по Российской земле побывал в Поволжье, на Среднем и Южном Урале. В лингвистических записях естествоиспытателя оказалась и лексика флоры марийского языка. Впоследствии они включены в книгу «Описание растений Российского государства…». Лексические единицы главным образом принадлежит к словарным богатствам лугового и восточного наречия марийского языка. Работая над составлением сравнительного словаря, П.С. Паллас активно пользовался словниками, присланными в академию из разных этнотерриториальных регионов, где компактно проживали марийцы.
Лингвистические и культурологические особенности древней письменности (на материалах огамического письма и рунических надписей)
Authors: Шапкарина Е.И.
Published: July 2023

В статье рассматриваются особенности двух систем древней письменности. Дается характеристика лингвистических и культурологических аспектов огамического письма и рунических надписей. Анализируется их влияние на развитие общества
О работе над музыкальным произведением в аспекте публичного исполнения
Authors: Исаева С.А
Published: July 2023

В статье рассматриваются методы работы над музыкальным произведением в аспекте публичного исполнения; обращается внимание на необходимость выявления четкой конструкции общего замысла – «плана» произведения, его составных частей и драматургии, специфической «ленты видения» образов; раскрывается сущность «кодовой» формы сочинения, как целостной, емкой структуры, обладающей центростремительными тяготениями и способной к свертыванию, сохранению в долговременной памяти, а затем к «развертыванию» на эстраде в реальный звуковой процесс.
Народно-певческая практика фольклорного ансамбля «Гайги моро»
Authors: Колесникова С.В.
Published: July 2023

В статье автор освещает основные подходы в реализации традиционных музыкальнопесенных образцов в певческой практике фольклорного ансамбля «Гайги моро»; рассматривает необходимые формы аналитической и практической деятельности участников коллектива; указывает комплекс средств адаптации и достоверной трансляции музыкального фольклора в современной исполнительской среде
Опера «Гармония мира» Пауля Хиндемита: философия и музыка
Authors: Петрова Е.Ю.
Published: July 2023

В статье обобщаются результаты исследования тенденций современного искусства к созданию масштабных произведений, в основе которых лежит исторически значимая философско-эстетическая концепция. Автором выявлены особенности воплощения замысла И. Кеплера о гармонии мира в опере П. Хиндемита.
Нефизическое общение растений и человека
Authors: Димитриенко О.В.
Published: July 2023

В данной статье рассматриваются аспекты психологоботаники, описываются исследования проводимые в этой области, приводятся примеры исследований описываемые учеными в данном направлении