bluuebunny/crossref_metadata_2025 huggingface dataset:
A DEEP LEARNING BASED IT SERVICE DESK TICKET CLASSIFIER USING CNN
Authors:   Central University of Karnataka, India, S.P. Paramesh , K.S. Shreedhara ,   University B.D.T College of Engineering, India
Published: October 2024

Assignment of problem tickets to a proper resolver group is an important aspect and crucial step in any IT Service management tools like IT Service desk systems. Manual categorization of tickets may lead to dispatching of problem tickets to an inappropriate expert group, reassignment of tickets, delays the response time and interrupts the normal functioning of the business. Traditional supervised machine learning approaches can be leveraged to train an automated service desk ticket classifier by using the historical ticket data. Sparsity, non-linearity, overfitting and handcrafting of features are some of the issues concerning the traditional ticket classifiers. In this research work, a deep neural network based on Convolution Neural Network (CNN) is proposed for the automated classification of service desk tickets. CNN automatically extracts the most salient features of the ticket descriptions represented using word embeddings. The extracted features are further used by the output classification layer for efficient ticket category prediction. To corroborate the efficacy of the proposed ticket classifier model, we empirically validated it using a real IT infrastructure service desk data and compared the results with the traditional classifier models like Support Vector machines, Naive Bayes, Logistic Regression and K-nearest neighbour. The proposed CNN model with proper hyperparameters tuning outperforms the traditional classifiers in terms of overall model performance. Assignment of tickets to the correct domain groups, speedy resolution, improved productivity, increased customer satisfaction and uninterrupted business are some of the benefits of the proposed automated ticket classifier model.
TENSORFLOW BASED PREDICTION MODEL FOR CLASSIFYING HUMAN BLOOD SMEAR MICROSCOPIC IMAGES AS INDICATING PRESENCE OF MALARIA PARASITE
Authors:   RV College of Engineering, India, N Patil Preethi , Dharani Andhe ,   RV College of Engineering, India, S Anupama Kumar ,   RV College of Engineering, India, Patil Naganagouda ,   Sri Krishna Institute of Technology, India
Published: October 2024

Malaria is now considered to be present in south Asian and African regions. Many countries are declared and certified as malaria free nations. But India is yet seen to be hosting with one or more indigenous cases. As per the World Health Organization (WHO) report India is one among the 25 nations expected to be malaria free by 2025. Currently the two variants out of four species of malaria parasite are prevalent in India. Falciparum and Vivax are the seen in several states of the country. The malaria detection is a manual procedure followed in the pathology laboratories. The human blood smears are collected and examined under the microscope. This process requires the experienced staff for better and accurate identification of the stages of the parasite detection. As per the standards specified for examination of a single slide is a minimum of 3 minutes and maximum of 5 minutes. But the process usually consumed by the pathology lab staff is minimum of 7 minutes with thick smears. Whereas the time duration required in case of thin smears is usually more. The proposed work aims at automating this process of detecting and identifying from thin blood smears without any compromise on the actual process adopted in detecting the parasite stages. The experiments are conducted on 200 images from Kaggle database, and the results obtained are encouraging.
ILLUSTRATING A SCALABLE ARCHITECTURE-POWERED DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES
Authors:   Bharathidasan University, India, Surianarayanan Chellammal , Rengasamy Sharmila ,   Government Arts and Science College, Srirangam, Tiruchirappalli, India, M Baby Nirmala ,   Holy Cross College, India, Chelliah Pethuru Raj ,   Reliance Jio Platforms Ltd., Bangalore, India
Published: October 2024

Healthcare information systems typically collect, store and manage various kinds of data such as illness details, clinical history, essential body parameters, health insurance plans, and other related data towards enabling data processing and analytics to arrive at better decision making with all the clarity and alacrity. To reduce the mortality rate due to heart diseases, it is essential to predict the presence of disease in its budding stage itself. Manual extraction of the useful knowledge from historical data is practically tedious and time-consuming. Machine learning (ML) algorithms are being used to detect and predict something useful out of both historical and current data. Despite the applicability of machine learning algorithms for prediction, the accuracy of prediction is significantly influenced by features used for prediction. Moreover, to meet the needs of evolving data sizes, suitable technologies for data storage also become essential. Based on these two aspects, a comparative analysis has been performed for feature selection using four filter methods, namely, correlation measure, information gain, gain ratio and relief. Further, a scalable architecture using Hadoop framework has been proposed to enable the machine learning algorithms to handle larger datasets while performing prediction task. The impact of the proposed architecture on the performance of machine learning algorithm has been evaluated with benchmark dataset and found to have improved scalability and accuracy.
CLOUD DATA PROTECTION USING WEIBULL DISTRIBUTED RECURRENT NEURAL ERGODIC SIGNCRYPTION
Authors:   Sri Ramakrishna Institute of Technology, India, J Mala
Published: October 2024

Cloud computing has become an integral part of modern computing, offering scalable storage and processing resources. However, the security of data stored in the cloud remains a major concern, especially when dealing with sensitive information. Traditional encryption schemes, while effective, often face limitations in terms of computational overhead and vulnerability to advanced attacks. To address these challenges, we propose a novel Weibull Distributed Recurrent Neural Ergodic Skewed Certificateless Signcryption scheme aimed at enhancing data protection in cloud environments. The key problem addressed by this work is the inherent inefficiency of existing cryptographic solutions that either rely on certificate-based systems or suffer from high computational and communication costs. This is especially crucial in cloud systems where real-time data processing is essential. Our approach integrates Weibull distribution for key management and optimization, recurrent neural networks (RNNs) for secure data transmission prediction, and ergodic skewed signcryption to eliminate the need for certificate authorities. This results in improved security, reduced computational overhead, and efficient communication, ensuring that the data remains secure even in dynamic cloud environments. The proposed scheme was tested using various metrics, including encryption/decryption time, data throughput, and attack resistance. Results demonstrate a significant reduction in computational cost by approximately 28% compared to traditional certificateless encryption. Furthermore, encryption times decreased from an average of 1.8 ms to 1.2 ms, and the scheme showed robustness against man-in-the-middle and chosen-ciphertext attacks with a detection accuracy of 98.6%. These results confirm the efficacy of the proposed system for enhancing security in cloud computing environments while maintaining high performance.
APPLYING SOFT COMPUTING METHODS IN BUSINESS ANALYTICS USING HYBRID GENETIC ALGORITHMS
Authors:   AAA College of Engineering and Technology, India, P Senthil Pandian , Anakal Sudhir ,   Sharnbasva University, India, C Padmavathy ,   Sri Ramakrishna Engineering College, India, Pitty Nagarjuna ,   Indian Institute of Science, India
Published: October 2024

In the era of big data and advanced analytics, the application of soft computing techniques has emerged as a powerful tool in solving complex business problems. This paper presents the use of hybrid genetic algorithms (HGAs) in business analytics to address challenges related to optimization, prediction, and decision-making processes. Traditional algorithms often struggle with large, nonlinear, and dynamic datasets typical of business environments. The incorporation of soft computing techniques such as genetic algorithms (GAs) and their hybridization with other methods like fuzzy logic and neural networks can help overcome these limitations. The problem addressed in this research is optimizing decision-making in marketing strategies, focusing on maximizing return on investment (ROI). Standard methods face difficulties in navigating through vast datasets and discovering optimal solutions. The hybrid genetic algorithm proposed in this study combines the exploration strength of GAs with the exploitative precision of local search techniques. The model was tested using a real-world dataset of marketing expenditures and revenues from a retail company. The HGA achieved an ROI improvement of 25%, significantly outperforming standard GAs and traditional optimization methods, which yielded only a 12% improvement. The flexibility and efficiency of this approach make it ideal for various business applications, including supply chain optimization, customer segmentation, and product pricing.
Experiences of Patients With Cancer Using Electronic Symptom Management Systems: Qualitative Systematic Review and Meta-Synthesis
Authors: Zhu Siying , Dong Yan , Li Yumei , Wang Hong , Jiang Xue , Guo Mingen , Fan Tiantian , Song Yalan , Zhou Ying , Han Yuan
Published: October 2024

Background

There are numerous symptoms related to cancer and its treatments that can affect the psychosomatic health and quality of life of patients with cancer. The use of electronic symptom management systems (ESMSs) can help patients with cancer monitor and manage their symptoms effectively, improving their health-related outcomes. However, patients’ adhesion to ESMSs decreases over time, and little is known about their real experiences with them. Therefore, it is necessary to gain a deep understanding of patients’ experiences with ESMSs.

Objective

The purpose of this systematic review was to synthesize qualitative studies on the experiences of patients with cancer using ESMSs.

Methods

A total of 12 electronic databases, including PubMed, Web of Science, Cochrane Library, EBSCOhost, Embase, PsycINFO, ProQuest, Scopus, Wanfang database, CNKI, CBM, and VIP, were searched to collect relevant studies from the earliest available record until January 2, 2024. Qualitative and mixed methods studies published in English or Chinese were included. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement checklist) and the ENTREQ (Enhancing Transparency in Reporting the Synthesis of Qualitative Research) statement were used to improve transparency in reporting the synthesis of the qualitative research. The Critical Appraisal Skills Program (CASP) checklist was used to appraise the methodological quality of the included studies, and a meta-synthesis was conducted to interpret and synthesize the findings.

Results

A total of 21 studies were included in the meta-synthesis. The experiences of patients with cancer using ESMSs were summarized into three major categories: (1) perceptions and attitudes toward ESMSs; (2) the value of ESMSs; and (3) barriers, requirements, and suggestions for ESMSs. Subsequently, 10 subcategories emerged from the 3 major categories. The meta-synthesis revealed that patients with cancer had both positive and negative experiences with ESMSs. In general, patients recognized the value of ESMSs in symptom assessment and management and were willing to use them, but they still encountered barriers and wanted them to be improved.

Conclusions

This systematic review provides implications for developing future ESMSs that improve health-related outcomes for patients with cancer. Future research should focus on strengthening electronic equipment and technical support for ESMSs, improving their functional contents and participation forms, and developing personalized applications tailored to the specific needs and characteristics of patients with cancer.

Trial Registration

PROSPERO CRD42023421730; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=421730
Perencanaan Pembangunan Penyulang Baru Wirobrajan 07 (WBN07) sebagai Pemecah Beban Lebih (Overload) Penyulang Wirobrajan 01 (WBN01) di PT PLN (Persero) UP3 Yogyakarta
Authors: Sumartopo Astri , Saputra Yuris Mulya
Published: October 2024

Peningkatan konsumsi energi listrik dapat mengakibatkan peningkatan nilai arus beban sebuah penyulang. Pada bulan Januari 2023, penyulang WBN01 memiliki nilai arus beban maksimal sebesar 345 A di mana telah melebihi standar yang disarankan PT PLN (Persero) yaitu 250 A. Standar tersebut bertujuan untuk menjaga kualitas sistem tenaga listrik, yaitu operasi manuver jaringan, jatuh tegangan, susut daya, lifetime transformator, dan kerusakan konduktor. Solusi untuk mengatasi overload penyulang WBN01 yang diperkenalkan dalam penelitian ini yaitu merencanakan pembangunan penyulang baru WBN07 untuk memecah beban penyulang WBN01 dengan metode simulasi menggunakan software ETAP 12.6 dan perhitungan matematis. Selanjutnya, dilakukan analisis operasi manuver jaringan, jatuh tegangan, susut daya, susut energi, dan kerugian ekonomis penyulang WBN01. Penelitian ini menunjukkan bahwa penyulang WBN01 dapat menerima pelimpahan beban dari penyulang lain yang semula sebesar ± 63 A menjadi ± 139 A setelah pemecahan beban. Selain itu, berdasarkan hasil simulasi penyulang WBN01 mengalami penurunan nilai jatuh tegangan sebesar 0,056 kV, susut daya sebesar 37,5 kW, serta susut energi sebesar 24.558,12 kWh dan berdasarkan hasil perhitungan matematis nilai jatuh tegangan penyulang WBN01 turun sebesar 0,019 kV, susut daya sebesar 22,345 kW, dan susut energi sebesar 15.068,306 kWh. Penurunan tersebut meningkatkan besarnya rupiah yang dapat disimpan yaitu Rp41.737.261,683/bulan berdasarkan hasil simulasi atau Rp25.609.038,096/bulan berdasarkan hasil perhitungan matematis.
Analisis Kinerja Sistem Photovoltaic Management Platform pada Implementasi Sistem PLTS Hybrid Berbasis Internet of Things Area R&D Syngenta Cikampek
Authors: Aprilianto Kurniawan , Oktiawati Unan Yusmaniar
Published: October 2024

Pembangkit listrik tenaga surya (PLTS) hybrid yang menggabungkan energi surya dengan sumber daya lain seperti baterai atau grid listrik konvensional menjadi pilihan yang relevan untuk memastikan ketersediaan energi yang dapat diandalkan, stabil, dan berkelanjutan. Kinerja photovoltaic management platform yang mengelola proses produksi, distribusi, dan konsumsi energi surya, menjadi kritis dalam menghadapi kompleksitas sistem ini. Penelitian ini bertujuan untuk mengeksplorasi kinerja photovoltaic management platform dalam konteks penerapan PLTS hybrid berbasis internet of things (IoT). Metode analisis data melibatkan pengukuran kualitas pengiriman data (quality of service/QoS) menggunakan standar ITU-T G.1010 pada sistem IoT pemantauan PLTS, serta pengujian Nielsen Attributes of Usability (NAU) pada penggunaan platform manajemen photovoltaic Solarman Smart. Hasil utama penelitian menunjukkan bahwa sistem PLTS yang diuji berkinerja optimal, dengan kualitas layanan jaringan yang tinggi. Platform manajemen PLTS menunjukkan tingkat kinerja usability yang baik, dengan keunggulan usability seperti pemahaman sistem, efisiensi, kemudahan diingat, tingkat error, dan kepuasan pengguna dalam memanfaatkan PV plant Management Platform. Hasil ini memberikan kontribusi positif terhadap kualitas, keandalan, serta kepuasan pemantauan kinerja PLTS secara keseluruhan. Terdapat hubungan yang berbanding lurus antara kualitas jaringan, tingkat kinerja, dan kepentingan usability.
Rancang Bangun Smart Belt Berbasis ATmega8 untuk Peningkatan Keselamatan dan Keamanan Berkendara
Authors: Sidik Darmawan , Humami Faris , Prasetyo Ramadhan Dwi
Published: October 2024

Tingginya jumlah kendaraan di Indonesia mengakibatkan banyaknya jumlah kasus pelanggaran. Perlengkapan keselamatan merupakan alat utama untuk meminimalkan fatality saat terjadinya kecelakaan lalu lintas. Penggunaan seat belt sering kali diabaikan oleh masyarakat sehingga berakibat fatal. Smart belt dirancang untuk merespons tantangan keselamatan berkendara dengan menghadirkan sistem inovatif berbasis mikrokontroler ATMega8. Sistem ini mengintegrasikan sensor suhu DHT11, sensor magnetik MC-38, dan sensor ultrasonik HC-SR04 untuk mendeteksi status seat belt dalam kendaraan. Proses pengembangan menggunakan metode ADDIE dengan lima tahapan: 1) analisis, 2) perancangan, 3) pengembangan, 4) implementasi, dan 5) evaluasi. Hasil dari Uji responsif sensor menunjukkan 0,24s untuk respons sensor ultrasonik HC-SR04 terhadap penerimaan objek, 14,58s untuk akurasi sensor suhu DHT11, dan pada uji kinerja alat menunjukkan angka 100% yang dapat disimpulkan bahwa alat ini berhasil konsisten dan akurat. Smart belt layak dipasang pada setiap kendaraan guna meningkatkan penerapan regulasi Permenhub 74 Tahun 2021. Komitmen pemerintah untuk menekan angka kecelakaan dan kematian di jalan raya didukung dengan pengembangan smart belt.
Innovative Path of Accounting Teaching under the Background of Intelligent Finance
Authors: Wang Chengfang , Xu Ning , Huang Bing
Published: October 2024

This article focus on the development and application status of intelligent finance, and explores innovative paths for deep integration of intelligent finance and accounting teaching from the perspective of accounting teaching mode transformation. Firstly, it constructs an intelligent financial teaching practice platform from the aspects of data integration and intelligent financial decision execution; Secondly, promote the deep integration of industry, academia and research; The third is to promote mutual learning and mutual learning. In order to provide some reference and inspiration for the construction of the accounting team under the new management background, promote the integration of industry and academia, and accelerate the construction of an intelligent financial teaching system.
A Study on the Path of Improving the Quality of Mathematics Classroom Teaching in Vocational Universities
Authors: Wang Shi
Published: October 2024

This study aims to explore the path of improving the quality of mathematics education in vocational colleges in order to meet the growing demand for high-quality applied talents in society and industry. It analyses the need to improve the quality of mathematics education and points out that mathematics education should not only focus on imparting theoretical knowledge, but also enhance students' practical application skills. To this end, six main paths were proposed, including clear career-oriented teaching objectives, innovative practice-oriented teaching models, flexible adaptation of course content, use of modern educational technology, diversified evaluation mechanisms and teacher training. Finally, it is recommended that vocational universities strengthen teacher training, increase investment in teaching resources, and deepen cooperation between schools and enterprises during the reform process, so as to ensure that mathematics education keeps pace with the needs of the economy, thereby cultivating applied talents with both a solid mathematical foundation and good professional qualities.
Review on Fragility Analysis of Building Structure in Seismic Prone Area
Authors: Verma Ankur
Published: October 2024

In general, using a steel bracing system is the most effective choice for enhancing the resistance of reinforced concrete frames to lateral loads. Steel bracing offers notable advantages over other methods, including greater strength and stiffness, cost-effectiveness, a smaller footprint, and minimal additional weight on existing structures. Both empirical and analytical fragility curves have been taken into account. Strengthening seismically deficient reinforced concrete frames with steel bracing systems is a practical solution for improving earthquake resilience. Nearly all structural analysis software, such as ETABS and SAP2000, supports linear and nonlinear static analysis for high-rise structures. Key parameters include fragility curves, the P-Δ effect, base shear, lateral displacement, axial force, and story drift, among others. The findings showed that bracing systems significantly reduce lateral displacement in frames. Fragility curves were developed based on peak ground acceleration (PGA) for various limit states—slight, moderate, major, and collapse-assuming a lognormal distribution. This study aims to develop analytical fragility curves for high-rise building structures.
Developing mobile augmented reality in picture book for teaching English for young learners
Authors: Mafruudloh Naajihah , Ahsanah Finaty , Khoiriyah K.
Published: October 2024

An effective language and learning process must contain interactive, fun, challenging, motivating aspects and provide more space for students to develop their creativity and independence, according to students' talents and interests; thus, appropriate teaching media can be as assisting tools. When selecting media, you need to consider several things, namely learning objectives, effectiveness, easy to obtain, students, use, not rigid, cost, and quality. One of the developments in learning media that is currently still new is learning media using Augmented Reality. This research aims to develop Augmented Reality-based text book learning media for English language learning. Developing text-book media using an application with a barcode scanner on text-books. This application displays 4D images or animations that have sound and movement so that it will help students to understand English texts. The research method used is the research and development method (Research & Development) while the product development model used is the ADDIE model (Analysis, Design, Development, Implementation, & evaluation. After developemnt anf evalution phase, the findings reveals that the outcome of teaching material product is deemed highly valid and appropriate for teaching English to yong learners, especially for primary school in this research context, as it was supported by the result of validation phase with media experts, subject matter experts, and student trials. Additionally, reflecting on the result of this study, the pedagogical implications of this result discussed further in this research.
Synergistic Effect of Purified Protease Enzyme with Antibiotics on Pathogenic S. Aureus In-Vitro and In-Vivo
Authors: Abdulwahhab Haifa Sadoon , Khalaf Khawlah Jebur , Aziz Raghad Akram
Published: October 2024

Objective: The goal of this study is the detection of the P. aeruginosa isolate for production the protease, the optimal conditions for produce, extraction, purification and characterization of the enzyme and study the synergistic effect of protease with antibiotics on S. aureus.
Method: Among (110) isolates from clinical sources, only (74) isolates identified as P. aeruginosa isolated from Baghdad hospitals. Detection of the optimal isolate for production the protease enzyme and the optimal conditions its produce, purification of enzyme by using ammonium sulfate, ion exchange chromatography and gel filtration, enzyme characterization of PH and temperature activity and stability, the study of synergistic effect of protease with antibiotics on S. aureus.
Results: The optimal conditions to produce protease is pH (8), (37) ºC, (BHI) broth, and during (48 hrs.). The precipitation saturation ratio (80%). Ion- exchanges (DEAE and CM) Cellulose and Gel filtration have specific activity ((121.25), (161.6), (660.53)) units/ mg)) respectively. The characterization done by pH and temperature activity purified protease was active in (138.51units/ ml) at pH (8), and stable in pH (8), the temperature for protease activity is (158.21 units/ ml) at (37) ºC. The synergistic effect of purified protease with antibiotics on S.aureus in- vitro,was detected using the agar diffusion method, the effectiveness of the prepared hydrogel types, the results showed S.aureus was more sensitive isolate to prepare (Gel & Protease & Ceftriaxone) the diameter of the inhibition zone reached (44 mm) ,the synergistic effect we noticed when using a (Gel & Ceftriaxone & Protease) healing was observed in time (five days) with wound healing without effect.
Conclusion: In this study, it was discovered that mixing (protease + hydrogel + Ceftriaxone) accelerates the wound healing without leaving traces.
Evaluation and Improvement of Oncologists' Adherence to NCCN Guideline for Prevent and Treatment of Cancer Associated Venous Thromboembolism
Authors: Naeemah Ghufran Hassoun , AL. Ameen Ayad Ali Hussein
Published: October 2024

Objective: the aim of this study is asses the adherence of physician to NCCN guideline recommended anticoagulant therapy in patient with cancer associated venous thromboembolism.
Method: study was designed with two phases an observational phase and an interventional prospective phase with the educational program, was conducted at Middle Euphrates cancer center /An-Najaf governorate/Iraq. Ten oncologists who agreed to participate in the study. Used validated questionnaire include (25 items) where distributed to 10 oncologists who were working at the Middle Euphrates cancer center then all questionnaires were collected from participated oncologists over two months. Subsequently, an educational part including a lecture and posters was submitted in cancer center to in raising awareness of seriousness of this disease and how prevention and treatment.    
Results: The overall mean total score of oncologists for prevention and management     of cancer associated VTE (out of 25 items) of all questionnaire parts was remarkably increased from (0.54) to (0.72) after the intervention therefore the level of oncologist's adherence to NCCN guideline improved to 70% with large effect size (1.04).                                             
Conclusion: According to the final evaluation of responses of oncologists showed improvement in adherence toward the NCCN guideline. In addition, there were several barriers that mainly reduce the adherence like sever side effect, increase cost and Lack of awareness of guidelines.
Anti-Inflammatory Humulene-Type Sesquiterpenoids from Asteriscus Graveolens
Authors: Alorfi Hajer S. , Aljohany Fayza A. , Alamri Fatima B. , Althagbi Hanan I. , Abdel-Naim Ashraf B. , Alarif Walied M. , Budiyanto Fitri , Aboubakr Esam M.
Published: October 2024

Objectives: Inflammation is the initial physiological reaction of the immune system to infection or irritation, leading significant risk factors for several forms of cancer. The genus Asteriscus has been observed to possess a notable abundance of sesquiterpenes with anti-inflammatory properties. This study was designed to assess the anti-inflammatory activity of the sesquiterpenoids isolated from Asteriscus graveolens.
Methods: The organic extract of the Asteraceae plant A. graveolens was subjected to different chromatographic and spectroscopic techniques for isolation, purification, and identification of sesquiterpenoid contents. The isolated compounds were screened for anti-inflammatory activities in two animal models: rat paw edema and rat ear edema. Histopathological examinations as well as biochemical markers of inflammation were assessed. This was followed by in silico screening for anti-inflammatory activity.
Results: Four known sesquiterpenoids were isolated from A. graveolens, including two humulene derivatives, namely, 9-oxohumula-4-en-6,15-olide (1), and 9-oxohumula-1(10)(Z),4,7(E)-trien-6,15-olide (2) and two bisabolene derivatives, identified as bisabola-2,10-dien-1-one (3) and 6- hydroxybisabola-2,10-dien-1-one (4) described. In the rat paw edema model, compound 2 showed highest activity in preventing formation carrageenan-induced paw edema. This was confirmed by histopathological examinations that indicated partial preservation of the epidermal and dermal layers. Further, the compound significantly inhibited cyclooxygenase-2 (COX-2) and tumor necrosis factor-α (TNF-α) release. In the croton oil indued rat ear edema, compounds 2 and 4 significantly inhibited ear edema and protected against histopathological alterations. This was associated with prevention of myeloperoxidase (MPO) concentration in ear tissues. Molecular docking and molecular dynamic simulation indicated the affinity and docking stability of compounds 1-4 to the selected inflammatory protein.
Conclusion: Phytochemical investigation of A. graveolens resulted in the isolation and characterization of four sesquiterpenes. In particular, compound 2 showed potent anti-inflammatory activity in carrageenan rat paw edema and croton oil ear edema.
LA PLURIVERSIDAD, COMPLEJIDAD Y LOS APORTES PARA LA RESOLUCIÓN DE PROBLEMAS
Authors: Loncón Antileo Elisa
Published: October 2024

Este trabajo busca desarrollar los conceptos de pluriversidad, complejidad y la ontología del Itxofill mogen. La pluriversidad es un cuerpo de saberes reconocidos a partir de la filosofía del sur que incluye todos los conocimientos de los mundos indígenas, afro, cimarrones, que fueron excluidos de la cultura europea, que fueron objeto de violencia epistémica producto del colonialismo y la exclusión de la academia. Respecto de la complejidad, uno de los grandes pensadores como es Morin propone una nueva manera de pensar sobre la naturaleza y los fenómenos, para abordar los problemas contemporáneos que no pueden ser comprendidos ni resueltos adecuadamente desde un enfoque reduccionista y lineal. Finalmente, la ontología del itxofill mogen que significa ‘de todo tipo, sin excepción’ (adverbio), mogen ‘vida’, la que corresponde a una categoría filosófica empleada para reconocer la vida de la tierra y su interdependencia con lo existente. Todas las vidas existentes en la tierra, dan cuenta de una diversidad de seres que son corpóreos, tangibles y materiales, pero al mismo tiempo son incorpóreos, energéticos y espirituales. Estos conceptos representan un gran desafío para las universidades, ya que es allí donde deben abrirse las puertas a la pluralidad de conocimientos existentes para atender la complejidad de problemas que conduzcan a detener las violencias contra la Madre Tierra, contra las mujeres, contra el racismo y contra la violencia epistémica.
Контроль химической деструкции материала стеновой керамикис учетом параметров эксплуатации конструкции
Authors: Ерофеев Владимир , Желдаков Дмитрий , Козлов Владимир
Published: October 2024

В статье рассматривается новый метод оценки скорости деструкции материала строительной керамики на основании процесса химической коррозии материала. Авторами разработан и описывается химизм процесса деструкции, состоящий из двух стадий: стадии образования гидроксидов щелочных и щёлочноземельных металлов при увлажнении материала строительной керамики и стадии взаимодействия гидроксидов с оксидами кремния и алюминия аморфной части материала. Разработаны методики исследования кинетических характеристик обеих стадий процесса деструкции материала. В настоящее время методики имеют статус государственных стандартов. На основании анализа результатов исследований разработано феноменологическое уравнение для расчёта скорости химической деструкции материала строительной керамики. Приводится разработанный метод оценки ограждающей конструкции по наиболее критическим координатам с учётом скоро­сти химической коррозии, распределения температуры и влажности по толще конструкции. На основании математической модели создана программа расчёта долговечности стеновой керамики. Результаты работы важны при контроле за надёжно­стью несущих конструкций. Опираясь на полученную математическую модель определения стойкости материала стеновой керамики к процессам химической коррозии, возможно контролировать правильность эксплуатации зданий и сооружений.
Обобщённые коэффициенты корреляции и их применимость для определения свойств бетона при испытаниях
Authors: Арленинов Пётр , Крылов Сергей , Калмакова Полина , Корнюшина Марина
Published: October 2024

Работа посвящена выявлению геометрического смысла коэффициента парной корреляции, а также множе­ственного коэффициента корреляции. Сделаны широкие обобщения этих коэффициентов. Предложен новый вид множе­ственного коэффициента корреляции - между набором независимых переменных и набором зависимых переменных. При­ведены примеры использования предложенных обобщённых коэффициентов корреляции для определения свойств бетона при испытаниях. Показаны их преимущества перед обычными коэффициентами корреляции.
Compensation for Losses in Latvian Groups of Companies Law
Authors: Balodis Kaspars
Published: October 2024

The main purpose of the legal regulation of groups of companies, i.e. the Groups of Companies Law of Latvia, is to protect rights and legitimate interests of the dependent company, its creditors and minority shareholders. A controlling enterprise is entitled to pursue its own economic interests by exerting the decisive influence on a dependent company. There is no general prohibition for a controlling enterprise to induce the dependent company into entering transactions or carrying out measures that are disadvantageous to the dependent company. Disadvantageous transactions have to be reflected in the yearly dependency report submitted by the board of the dependent company. As a general principle, the controlling enterprise shall compensate the dependent company for losses arising from disadvantageous transactions or undertakings. If a group contract between the controlling enterprise and the dependent company exists, legal representatives (board members) of the controlling company are jointly responsible for the losses of the dependent company. If a group contract has not been concluded and a de facto group of companies exists, the controlling enterprise itself has to compensate for the losses of the dependent company. Besides the controlling enterprise, the legal representatives of this enterprise are jointly responsible.
Experience of Reforms to the State Social Insurance in the Republic of Latvia after Restoring the Independence of the State de facto
Authors: Lazdiņš Jānis
Published: October 2024

The article is dedicated to an overview of the reforms to the state social insurance law and criticism of some aspects in the reforms carried out in the Republic of Latvia after the restoration of independence de facto in 1990–1991, analysing the rights and obligations of the State, the employer and the employee in the area of social insurance. On the basis of research outcomes, the author concludes that the Soviet understanding of the social insurance law was soon dispensed with. However, it is debatable whether the reforms of social insurance have been successful enough. Although the social insurance contributions are paid in the amount of at least “the minimum amount of the object of mandatory contributions”, it is not clear whether, if an insured case sets in, the disbursed benefit ensures a life that is worthy of human dignity because the subsistence minimum has not been calculated in Latvia. Moreover, not all socially insured persons have all forms of social insurance. Hence, reforms in the area of social insurance cannot be regarded as being completed.
EDUCAÇÃO FÍSICA ESCOLAR NOS ANOS FINAIS DO ENSINO FUNDAMENTAL: PROBLEMATIZANDO A RELAÇÃO ENTRE O QUE SE ENSINA E O QUE SE AVALIA
Authors: Loisen Gabriel Vinicius , Neuenfeldt Derli Juliano
Published: October 2024

Este artigo tem como objetivo analisar compreensões de professores acerca da Educação Física Escolar e suas implicações com a avaliação nas aulas de Educação Física dos anos finais do Ensino Fundamental de escolas da rede municipal de um município do Vale do Taquari/RS. É uma pesquisa qualitativa que se utilizou para a coleta de informações de uma entrevista semiestruturada, realizada com sete professores formados em Educação Física, atuantes nos anos finais do Ensino Fundamental. Constatou-se que o foco do ensino são os esportes, mais especificamente, o vôlei, o futebol e o handebol, os seus fundamentos e a progressão para o jogo, além de outros temas da cultura corporal previstos na BNCC, como ginástica, lutas e atletismo. Quanto à avaliação, os professores de Educação Física têm enfatizado, principalmente, as dimensões atitudinais e conceituais, negligenciando a dimensão procedimental. A observação da participação e do comportamento são os critérios da avaliação atitudinal e os instrumentos de avaliação conceitual são provas, trabalhos e pesquisas. Conclui-se que há uma desconexão entre o que se ensina e o que se avalia, visto que se ensina fundamentos e gestos técnico-esportivos e que a avaliação se foca principalmente na participação dos alunos nas aulas e na dimensão conceitual.
PREVALÊNCIA DO ALEITAMENTO MATERNO E OS FATORES PARA O DESMAME PRECOCE EM ESCOLAS DE EDUCAÇÃO INFANTIL DO MUNICÍPIO DE CAXIAS DO SUL
Authors: Mazzarotto Borges Indiara , Conde Simara Rufatto
Published: October 2024

O presente artigo teve como objetivo analisar a prevalência do aleitamento materno e as possíveis causas do desmame precoce em escolas de educação infantil do município de Caxias do Sul/RS. Foi realizado um estudo do tipo transversal, quantitativo e descritivo, a amostra foi por conveniência e composta por 142 responsáveis de crianças de 0 a 2 anos matriculadas em turmas de berçários na rede do Município de Caxias do Sul. Foi aplicado um questionário via Google Forms® com 15 questões relacionadas à duração do aleitamento materno, dificuldades durante a amamentação, período e tipos de alimentos ofertados na introdução alimentar e a utilização de mamadeiras e chupetas. Os dados foram analisados através de tabelas simples, cruzadas, porcentagens e pelo Teste de associação Teste Exato de Fisher. Os resultados foram considerados significativos a um nível de significância máximo de 5% (p≤0,05). Os resultados mostraram que 100% (n=142) das crianças receberam aleitamento materno. Observou-se que 38,5% (n=37) dos lactentes mamaram entre menos de um mês a três meses e apenas 2,1% (n=2) tiveram o aleitamento até os dois anos. Dentre os motivos para a pausa do aleitamento materno, 26,8% (n=38) da população estudada respondeu que a pouca produção de leite foi um fator determinante para o interrompimento da prática. Constatou-se que todas as crianças foram amamentadas, a maioria dos lactentes receberam o aleitamento materno entre menos de um mês até três meses e a minoria foi amamentada até os dois anos de idade. A baixa produção de leite e introduções de fórmulas foram os principais motivos para a interrupção do aleitamento materno. Ter recebido orientação médica pós-parto sobre a importância do aleitamento materno não possuiu associação significativa com o tempo de amamentação.
DIAGNÓSTICO SITUACIONAL DA POPULAÇÃO TAPEBA EM CAUCAIA, CEARÁ: REVISÃO DE ESCOPO
Authors: De Abreu Leidy Dayane Paiva , Paiva dos Santos Artur , Araújo de Carvalho Jéssica , Lourdes dos Santos Maria , Socorro Martins Maria Iara , Monteiro de Castro Fabíola , Franco Moreira Francisco Jadson
Published: October 2024

Objetivou-se analisar na literatura científica o que tem sido estudado, publicado e divulgado sobre o contexto social, cultural, histórico, educacional e de saúde da população indígena Tapeba em Caucaia-Ceará. Foi realizada uma revisão de escopo. Para tanto, foram selecionados estudos na Scientific Electronic Library Online (SciELO); Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS); repositórios de instituições acadêmicas; e “literatura cinzenta”, como Biblioteca Nacional de Teses e Dissertações (BDTD); Associação para Desenvolvimento Local Coproduzido (Adelco); e Povos indígenas no Brasil (PIB). O estudo foi conduzido entre dezembro de 2022 a junho de 2023. Foram utilizadas as equações de busca: 1 (“Tapeba”) AND (Indian); 2 (“Tapeba”) AND (Health of Indigenous Peoples); e 3 (“Tapeba”) AND (Situational diagnosis). Identificou-se dezessete artigos. Os estudos apresentavam informações sobre identidade histórica, cultural, além das questões educacionais de saúde da população indígena Tapeba. Espera-se que esta revisão sensibilize e mobilize para o aumento das discussões e ações no âmbito da epidemiologia, cuidado intersetorial e centrado nas populações indígenas no Ceará.
CARACTERIZAÇÃO DA CAPACIDADE FUNCIONAL CARDIORRESPIRATÓRIA DE PRATICANTES DE DANÇA FOLCLÓRICA ALEMÃ
Authors: Steffens Gustavo Bento , Konrath Milena Thaís , Grave Magali Quevedo , Fleig Tania Cristina Malezan , Capalonga Lucas
Published: October 2024

Introdução: A dança é uma atividade física que envolve o indivíduo de forma global e como os aspectos físicos são fundamentais para a performance, a avaliação do condicionamento cardiorrespiratório dos dançarinos torna-se primordial. Objetivo: Avaliar a capacidade funcional cardiorrespiratória de participantes de um grupo de danças folclóricas alemãs, para correlacionar os resultados obtidos e valores preditos para idade e gênero. Métodos: Estudo descritivo e analítico, com delineamento transversal e análise quantitativa. Foram incluídos 30 dançarinos, 19 mulheres e 11 homens, com média de idade 20,8 ± 3,6 anos, integrantes das categorias principais do Grupo de Danças Folclóricas Alemãs de Estrela/RS. O processo de avaliação foi composto por identificação e avaliação antropométrica, medida do nível de atividade física através do International Physical Activity Questionnaire (IPAQ), manovacuometria para força muscular respiratória e teste do degrau de 6 minutos (TD6). Resultados: Os dançarinos foram classificados como ativos pelo IPAQ (53%) e seu desempenho foi superior à meta estabelecida pelas equações preditivas com base em idade e gênero, ao superar em 11% o previsto para pressão inspiratória máxima (96,6 ± 27,8 cmH2O) e 28% o previsto para TD6 (249,1 ± 45 degraus). Os resultados apontam que quanto maior o número de degraus alcançados no TD6, maior é a força muscular respiratória. Conclusão: Os achados evidenciam que praticantes de dança folclórica alemã desta amostra apresentam capacidade funcional cardiorrespiratória dentro do esperado, já que possuem força muscular inspiratória e capacidade funcional submáxima superior aos valores previstos, bem como, mostram tendência linear entre melhores resultados de força muscular respiratória e número de degraus subidos no TD6, possivelmente devido ao rigor dos ensaios, apresentações ou treinamento individual adicional.
AVALIAÇÃO DO ESTADO NUTRICIONAL, CONSUMO ALIMENTAR E USO DO MEDICAMENTO LEVODOPA DE PACIENTES COM DOENÇA DE PARKINSON
Authors: Wermann Renata Gabriela , Fassina Patricia
Published: October 2024

Introdução: Devido à grande demanda energética e dificuldade de se alimentar, a desnutrição pode ocorrer em pacientes com Doença de Parkinson. Levodopa, geralmente utilizado no tratamento, pode ter sua biodisponibilidade reduzida se administrada junto a proteínas. Objetivo: Avaliar o estado nutricional, consumo alimentar e horário de uso do medicamento levodopa em pacientes com Doença de Parkinson. Metodologia: Estudo transversal, quantitativo, descritivo, realizado com 7 pacientes com Doença de Parkinson. O estado nutricional foi avaliado pela Mini Avaliação Nutricional (MNA®). Para avaliar magreza ou adiposidade foram aferidas a circunferência do braço (CB), a prega cutânea tricipital (PCT) e a circunferência muscular do braço (CMB). O consumo alimentar foi avaliado por meio de três recordatórios alimentares de 24 horas, sendo analisado valor energético total (VET), macronutrientes, ferro, magnésio, vitamina B6, açúcares e fibras. O horário de uso do levodopa foi avaliado e comparado ao horário da refeição mais próxima. Resultados: Os pacientes apresentaram estado nutricional normal pela MNA®. Para a PCT, a maioria apresentou obesidade e para a CMB eutrofia. Todos faziam uso de levodopa, conforme a recomendação. O consumo de macronutrientes e açúcares esteve adequado. As mulheres consumiram VET próximo à recomendação e os homens abaixo. O consumo de ferro esteve acima do recomendado e magnésio abaixo em ambos os sexos, a vitamina B6 e as fibras, apresentaram consumo adequado pelas mulheres. Conclusão: Os pacientes apresentaram estado nutricional normal, faziam uso adequado da medicação em relação ao horário da refeição, sendo necessário adequar o consumo de VET e de micronutrientes.
EFEITOS DE UM PROGRAMA DE PREVENÇÃO DE LESÕES SOBRE OS FATORES DE RISCO DE ENTORSE DE TORNOZELO EM UMA EQUIPE DE BASQUETEBOL
Authors: Costenaro Laura , Sehnem Eduardo
Published: October 2024

O basquetebol é um esporte que envolve contato intenso entre os jogadores, exigindo movimentos de trocas de direção, saltos, arremessos, aceleração e desaceleração fazendo com que os membros inferiores exerçam uma grande demanda para o gesto esportivo, acarretando em maior risco de lesão, como o entorse de tornozelo. Com essa lesão, o atleta pode desenvolver instabilidade crônica de tornozelo, sofrer com dores e não participar de treinos e competições, afetando o desenvolvimento de habilidades. A avaliação fisioterapêutica pode identificar déficits do jogador e desenvolver estratégias para impedir que tais lesões ocorram, através de programas de prevenção de lesões. O objetivo da pesquisa foi avaliar o efeito de um programa de prevenção de lesões aplicado em jovens atletas praticantes de basquetebol sobre os preditores de lesão de entorse de tornozelo. A pesquisa foi de campo, de caráter longitudinal e quantitativo e de objetivo exploratório, comparando dados pré e pós intervenção com testes específicos, em que a amostra foi de 9 atletas entre 14 e 15 anos, praticantes de basquetebol. Foram aplicados exercícios com frequência semanal de 2 vezes por um período de 9 semanas, direcionados à mobilidade de tornozelo, treino de propriocepção, força dos estabilizadores de tornozelo, saltos e trocas de direção, com progressão de complexidade. Os resultados mostraram um bom desenvolvimento de força muscular de 3 dos 4 músculos avaliados e melhora da propriocepção dos membros inferiores. Concluímos que um programa de exercícios pode diminuir alguns dos fatores preditores de lesão de entorse de tornozelo, mas vale destacar que uma avaliação deve ser feita para identificar déficits do atleta e assim desenvolver exercícios específicos.
CUIDADOS PALIATIVOS EM PACIENTES COM FIBROSE CÍSTICA: UMA REVISÃO INTEGRATIVA
Authors: Ramos Moreira da Silva Juliana , Barreto de Freitas Rebeca , Almeida Silva Renan , Vitória Caldas Vieira Yully , Dos Santos Souza Mariana Cristina
Published: October 2024

Introdução: A fibrose cística (FC) é uma doença genética, crônica, progressiva e hereditária, de transmissão autossômica recessiva, que afeta principalmente o sistema respiratório e digestivo. Enquanto a FC é frequentemente associada a tratamentos intensivos e prolongados, a integração dos cuidados paliativos pode proporcionar alívio dos sintomas, gerenciar a dor e melhorar o conforto geral dos pacientes. Objetivo: Identificar, analisar e sintetizar publicações científicas relacionadas à cuidados paliativos a pacientes com Fibrose Cística. Método: Revisão Integrativa norteada pela questão “’qual é a importância dos cuidados paliativos em pacientes com fibrose cística para melhorar a qualidade de vida e o bem-estar?”. Foram revisados artigos publicados nos últimos dez anos (2013-2023), nas bases de dados Scientific Electronic Library Online (SciELO), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Base de Dados de Enfermagem (BDENF), Medical Literature Analysis and Retrieval System Online (MEDLINE), Cumulative Index to Nursingand Allied Health Literature (CINAHL), SCOPUS, Web of Science e Science Direct. Resultados: Foram localizados 66 artigos e, após as etapas de triagem e elegibilidade, incluídos 6 para análise. Emergiram três classes temáticas: Saúde mental dos pacientes com FC, Barreiras e rejeições durante o tratamento e Abordagens eficientes para o planejamento antecipado de cuidados. Conclusão: Os cuidados paliativos desempenham um papel vital, aliviando sintomas físicos e proporcionando suporte emocional e social, melhorando significativamente a qualidade de vida. Essa abordagem humanizada otimiza a experiência do paciente, considerando não apenas as necessidades médicas, mas também os aspectos emocionais e sociais.