bluuebunny/crossref_metadata_2025 huggingface dataset:
Hybrid Crow Search and Particle Swarm Algorithmic optimization based CH Selection method to extend Wireless Sensor Network operation
Authors: P Vinoth Kumar , K Venkatesh
Published: April 2024

In ad hoc wireless sensor networks, the mobile nodes are deployed to gather data from source and transferring them to base station for reactive decision making. This process of data forwarding attributed by the sensor nodes incurs huge loss of energy which has the possibility of minimizing the network lifetime. In this context, cluster-based topology is determined to be optimal for reducing energy loss of nodes in WSNs. The selection of CH using hybrid metaheuristic algorithms is identified to be significant to mitigate the quick exhaustion of energy in entire network. This paper explores the concept of hybrid Crow Search and Particle Swarm Optimization Algorithm-based CH Selection (HCSPSO-CHS) mechanism is proposed with the merits of Flower Pollination Algorithm (FPA) and integrated Crow Search Algorithm (CSA) for efficient CH selection. It further adopted an improved PSO for achieving sink node mobility to improve delivery of packets to sink nodes. This HCSPSO-CHS approach assessed the influential factors like residual energy, inter and intra-cluster distances, network proximity and network grade during efficient CH selection. It facilitated better search process and converged towards the best global solution, such that frequent CH selection is avoided to maximum level. The outcomes of the suggested simulation HCSPSO-CHS confirm better performance depending on the maximum number of active nodes by 23.18%, prevent death of sensor nodes by 23.41% with augmented network lifetime of 33.58% independent of the number of nodes and rounds of data transmission.
Sustainable Food Development Based on Ensemble Machine Learning Assisted Crop and Fertilizer Recommendation System
Authors: K Komala Devi , Kumar Josephine Prem
Published: April 2024

Agriculture is the most vital sector for the global food supply, and it also provides raw materials for other types of industries. A crop recommendation system is essential for farmers who want to get the most out of their crop-choosing decisions. Over the last several decades, the world's ability to produce food has grown substantially owing to the extensive usage of fertilizers. Therefore, there has to be a more eco-friendly and effective way to utilize fertilizers that include nitrogen (N), phosphorous (P), and potassium (K) to ensure food security. For the reason, this study proposes an ensemble machine learning–assisted crop and fertilizer recommendation system (EML–CFRS) to maximize agricultural output while ensuring the correct use of mineral resources. The research used a dataset obtained from the Kaggle repository like that people can assess several distinct ML algorithms. The databases include data on three climate variables—temperature, rainfall, and humidity—and information on NPK and soil pH. The yields agricultural crops were used to train these models, including Decision Tree, KNN, XGBoost, Support Vector Machine, and Random Forest. Depending on the current weather and soil conditions, the trained model may then recommend the optimal fertiliser for a certain crop. Predicting the ideal kind and quantity of fertilizer for different crops was accomplished with a 96.5% accuracy rate by our suggested strategy.
Enhancing Urban Traffic Management Through Hybrid Convolutional and Graph Neural Network Integration
Authors: Mohsin Karrar S. , Mettu Jhansilakshmi , Madhuri Chinnam , Usharani Gude , N Silpa , Yellamma Pachipala
Published: April 2024

Traffic congestion has made city planning and citizen well-being difficult due to fast city growth and the increasing number of vehicles. Traditional traffic management fails to solve urban transportation's ever-changing issues. Traffic prediction and control systems are vital for enhancing Traffic Flow (TF) and minimizing congestion. Smart cities need advanced prediction models to regulate urban TF as traffic management becomes more complex. This paper introduces a hybrid Convolutional Neural Networks (CNN) and Graph Neural Networks (GNN) model for better real-time traffic management. The hybrid model combines CNNs' spatial feature extraction with GNNs' structural and relational data processing to analyze and predict traffic conditions. Traffic camera images are pre-processed to extract spatial characteristics. Traffic network graph construction is used for structural research. The model accurately captures traffic topology and space. The proposed method sequentially processes spatial data with CNNs and integrates them with GNNs. The final hybrid model is trained on one year of traffic data from diverse circumstances and events. The hybrid model is compared to CNN, GNN, and traditional Traffic Prediction Models (TPM) like ARIMA and SVM utilizing MAE, RMSE, and MAPE. The hybrid GNN+CNN model outperforms benchmark models with lower MAE, RMSE, and MAPE across several prediction intervals.
3D Face Reconstruction with Feature Enhancement using Bi-FPN for Forensic Analysis
Authors: John Sincy , Danti Ajit
Published: April 2024

The representation of facial features in three-dimensional space plays a pivotal role in various applications such as facial recognition, virtual reality, and digital entertainment. However, achieving high-fidelity reconstructions from two-dimensional facial images remains a challenging task, particularly in preserving fine texture details. This research addresses this problem by proposing a novel approach that leverages a combination of advanced techniques, including Resnet, Flame model, Bi-FPN, and a differential render architecture. The primary objective of this study is to enhance texture details in reconstructed 3D facial images. The integration of Bi-FPN (Bi-directional Feature Pyramid Network) enhances feature extraction and fusion across multiple scales, facilitating the preservation of texture details across different regions of the face. The objective is to accurately represent facial features from 2D images in three-dimensional space. By combining these methods, the proposed framework achieves significant improvements in preserving fine texture details and overall facial structure. Experimental results demonstrate the effectiveness of the approach, suggesting its potential for various applications such as virtual try-on and facial animation.
Hybrid HAR-CNN Model: A Hybrid Convolutional Neural Network Model for Predicting and Recognizing the Human Activity Recognition
Authors: A Venugopal Rao , Vishwakarma Santosh Kumar , Kundu Shakti , Tiwari Varun
Published: April 2024

Human activity recognition (HAR) is an active research area in computer vision from past several years and research is still continuing in this field due to the unavailability of perfect recognition system. The human activity recognition system it covers e-health, patient monitoring, assistive daily living activities, video surveillance, security and behaviour analysis, and sports analysis. Many researchers have suggested techniques that use visual perception to detect human activities. Researchers will need to address problems including light variations in human activity detection, interclass similarity between scenes, the surroundings and recording setting, and temporal variation in order to construct an efficient vision-based human activity recognition system. However, a significant drawback of many deep learning models is their inability to achieve satisfactory results in real-world scenarios due to the conflicts mentioned above. To address this challenge, we developed a hybrid HAR-CNN classifier aimed at enhancing the learning outcomes of Deep CNNs by combining two models: Improved CNN and VGG-19. Using the KTH dataset, we collected 6,000 images for training, validation, and testing of our proposed technique. Our research findings indicate that the Hybrid HAR-CNN model, which combines Improved CNN with VGG-19 Net, outperforms individual deep learning models such as Improved CNN and VGG-19 Net.
An Enhanced Hybrid Deep Learning Model to Enhance Network Intrusion Detection Capabilities for Cybersecurity
Authors: Das Abhijit , N Shobha , M Natesh , Tiwary Gyanendra , V Karthik
Published: April 2024

Recently, we have noticed tremendous growth in the field of Information Technology. This increased growth has proliferated the use of new technologies and continued advancement of networking systems. These systems are widely adopted for real-time online and offline tasks. Due to this growth in information technology, maintaining security has gained huge attention as these systems are vulnerable to various attacks. In this context, an Intrusion Detection System (IDS) plays an important role in ensuring security by detecting and preventing suspicious activities within the network. However, as technology is overgrowing, malicious activities are also increasing. Moreover, legacy IDS methods cannot handle new threats, such as traditional signature-based methods requiring a predefined rule set to detect malicious activity. Also, several new methods have been proposed earlier to address security-related issues; however, the performance of these methods is limited due to poor attack detection accuracy and increased false positive rates. In this work, we propose and compare different deep-learning (DL) models that can be used to construct IDSs to provide network security. Details on convolutional neural networks (CNNs), Multilayer Perceptron (MLP), and long short-term memories (LSTMs) are introduced. A discussion of the outcomes achieved follows an assessment of the proposed DL model known as the FOA-CNN-LSTM technique. Comparisons are made between the suggested models and other machine-learning methods. This work presents a deep-learning approach based on hybrid CNN-LSTM with Fruit fly Optimization Algorithm (FOA) by ensemble techniques to distinguish between normal and abnormal behaviors.
An Analytical Evaluation of the Signification of ‘The Development of Metaphysics in Persia’ in the Advancement of Allama Muhammad Iqbal’s Theo-Philosophic Ideas
Authors: Dr. Ali Raza Tahir  , Muhammad Iqbal shah
Published: April 2024

Allama Muhammad Iqbal (1877-1038) is a versatile thinker of the modern Muslim world. Although he was born in Sub-Continent but his thought crossed all the barriers of color, creed, race and land. Syed Jamal Din Afghani (1838-1898) was the 1st person who set the foundation of the renaissance of the modern Muslim world. Iqbal preceded and accelerated Syed Jamal al Din Afghani’s movement of reformation with his sagacious approach in a new way with new dimensions. He used both the mediums ‘prose’ and ‘poetry’ to present his thought. His poetic work is in Persian and Urdu languages while his prose work is in English, Urdu and Persian. He was a theologian, philosopher, mystic poet and politician. His 1st research work is his doctoral dissertation under the title ‘The Development of Metaphysics in Persia’.  This research work is the 1st outcome of his intellectual endeavors during his stay in Europe from 1905 to 1908 in England and Germany. A common viewpoint of Iqbal scholars about this research work of is that ‘it is outdated and has no value in Iqbal’s thought and literature now’. The last and final philosophical work of Allama Iqbal is under the title ‘The Reconstruction of Religious Thought in Islam’. From 1st to final philosophical work there are many others his valuable books in poetry and prose. In this article our aim is to analyze the said views about his doctoral thesis and to find out the significance of his 1st philosophical work in the development of his thought.
Keyword Inventory for Systematic Literature Review on Understanding Quality Characteristics of EdTech Interventions and Implementation for Disadvantaged Pupils
Authors: Haßler Björn , McBurnie Chris , Walker Hannah , Klune Christopher
Published: April 2024

An output of the Open Development & Education, https://opendeved.net/
Codebook for Systematic Literature Review on Understanding Quality Characteristics of EdTech Interventions and Implementation for Disadvantaged Pupils
Authors: McBurnie Chris , Walker Hannah , Haßler Björn
Published: April 2024

An output of the Open Development & Education, https://opendeved.net/
Peningkatan Pertumbuhan Suplir dengan Pupuk Kompos Organik di Kelompok PKK RT 20, Pakuan Baru, Jambi
Authors: Nasution Hasriati , Suryanto  , Emanauli
Published: April 2024

Tanaman Adiantum, yang umumnya dikenal sebagai Bunga Suplir, memiliki popularitas yang signifikan sebagai tanaman hias di dalam ruangan maupun di luar ruangan, karena kemampuannya dalam menyaring udara dan manfaatnya bagi kesehatan. Pertumbuhan optimal tanaman ini membutuhkan kondisi tanah yang subur, yang dapat dicapai melalui penggunaan pupuk kompos organik yang diperkaya. Penelitian ini bertujuan untuk meningkatkan pemahaman dan penerapan ibu-ibu PKK RT 20 Kelurahan Pakuan Baru, Kota Jambi, terhadap penggunaan pupuk kompos organik yang diperkaya untuk pertumbuhan tanaman Bunga Suplir. Melalui serangkaian penyuluhan dan demonstrasi praktis, ibu-ibu PKK diberikan pengetahuan dan keterampilan yang diperlukan untuk mengelola pupuk kompos organik yang diperkaya secara efektif. Hasil dari pendekatan ini diharapkan mampu meningkatkan kesadaran dan implementasi penggunaan pupuk kompos organik yang diperkaya dalam budi daya tanaman Bunga Suplir, sehingga menghasilkan pertumbuhan tanaman yang optimal dan estetika yang memuaskan.
Optimasi Pertumbuhan Lidah Buaya dengan Pupuk NPK Phonska dalam Metode Polybag di Kelompok PKK RT 23, Pasir Putih, Kota Jambi
Authors: Nasution Hasriati , Yusfaneti  , Saat Asmadi
Published: April 2024

Tanaman lidah buaya (Aloe vera) memiliki daging tebal yang kaya akan zat aktif seperti asam folat, kolin, vitamin A, C, B12, E, serta berbagai mineral seperti kalsium, kalium, magnesium, dan natrium. Pemberian pupuk NPK Phonska dapat meningkatkan pertumbuhan dan kehijauan daun lidah buaya serta memacu pertumbuhan akar dan pembentukan anak-anak tanaman. Tujuan dari pengabdian ini adalah untuk meningkatkan keterampilan kelompok ibu-ibu PKK RT 23 Kelurahan Pasir Putih Kota Jambi dalam menanam lidah buaya dengan memberikan penyuluhan tentang pemberian pupuk NPK Phonska. Pengabdian ini dilaksanakan dalam dua tahap, yaitu memberikan materi tentang pemupukan NPK Phonska dan melakukan demo menanam lidah buaya menggunakan polybag. Tim pengabdian menyediakan bahan-bahan seperti anakan lidah buaya, pupuk NPK Phonska, polybag, media tanah, dan alat-alat pertanian lainnya. Hasilnya menunjukkan antusiasme dan pemahaman yang tinggi dari kelompok ibu-ibu PKK RT 23 dalam pemberian pupuk NPK Phonska untuk pertumbuhan lidah buaya. Diharapkan bahwa dengan penyuluhan ini, keterampilan mereka dalam merawat tanaman lidah buaya dapat meningkat sehingga tanaman dapat tumbuh subur dengan daun yang hijau mengkilat dan banyak membentuk anak-anak tanaman.
MY FATHER VIKTOR NIKITOVICH GRECHKO IN THE BATTLE OF THE KURSK BULGE
Authors: Гречко И.В.
Published: April 2024

В статье рассматривается крупнейшее сражение всей Великой Отечественной войны — Курская битва. Кровопролитные бои к западу от Прохоровки. Автор предпринимает попытку восстановить весь ход военных действий к западу от Прохоровки. Подробно исследует малоизученный бой за стратегическую высоту 226,6. Статья написана в виде виртуального письма своему отцу из военного Донбасса в наш «трагический XXI век».

The article deals with the largest battle of the entire Great Patriotic War —the Battle of Kursk. Bloody battles west of Prokhorovka. The author makes an attempt to restore the entire course of hostilities west of Prokhorovka. Explores in detail the little-studied battle for the strategic height 226.6. The article is written in the form of a virtual letter to his father from the military Donbass in our “tragic XXI century”.
JAPAN IS THE ORGANIZER OF THE SECOND WORLD WAR IN THE EAST IN THE 20–30 YEARS OF THE TWENTIETH CENTURY
Authors: Борисов В.И.
Published: April 2024

Освещается военно-политическая деятельность Японии в 20–30 г. ХХ в. Ретроспективно показано формирование милитаристских тенденций, экспансия Японии против соседних государств — Китая, Кореи, России. Подробно рассмотрен меморандум Танаки как документ долговременной агрессии. Захват Китая, Нанкинская резня. Показан конфликт на Халхин-Голе и значение пакта о нейтралитете СССР и Японии.

The article highlights the military and political activities of Japan in the 20–30 years of the twentieth century. The formation of militaristic tendencies, the expansion of Japan against neighboring states — China, Korea, Russia — is retrospectively shown. The Tanaka memorandum is considered in detail as a document of long-term aggression. The capture of China, the Nanjing massacre. The conflict on Khalkhin Gol and the significance of the neutrality pact of the USSR and Japan are shown.
VYAZMA PEOPLE — HEROES OF THE SOVIET UNION: SOCIO-PSYCHOLOGICAL PORTRAIT
Authors: Алексанова М.Ф.
Published: April 2024

В статье предпринята попытка дать социально-психологическую характеристику уроженцам Вяземского района, удостоенным звания Героя Советского Союза. Исторические личности классифицированы по: возрасту, месту проживания, профессии, гендерному признаку, воинскому званию. Предпринята попытка сформировать социальный портрет вязьмича-Героя Советского Союза.

The article attempts to give a socio-psychological description of the natives of Vyazema district, who were awarded the title of Hero of the Soviet Union. Historical figures are classified by age, place of residence, profession, gender, military rank. An attempt was made to form a social portrait of Vyazma person — the Hero of the Soviet Union.
THE WAR OF ANNIHILATION ON THE EASTERN FRONT IN THE DIARIES OF ERNST JUNGER
Authors: Артамошин С.В.
Published: April 2024

В статье рассматривается поездка Э. Юнгера на Восточный фронт, нашедшая свое отражение в его дневниках. Анализируется повседневная жизнь и нацистская политика на оккупированных территориях Советского Союза. Поездка в зону боевых действий позволила Э. Юнгеру создать собственное представление о трансформации характера войны и степени ожесточения. Исследуются особенности политики уничтожения на Восточном фронте.

The article discusses E. Junger’s trip to the Eastern Front, which was reflected in his diaries. The daily life and Nazi policy in the occupied territories of the Soviet Union are analyzed. The trip to the war zone allowed E. Junger to create his own idea of the transformation of the nature of the war and the degree of bitterness. The peculiarities of the policy of destruction on the Eastern Front are investigated.
THE FATE AND TRAGEDY OF THE COMMANDER OF THE 38TH RIFLE DIVISION WHO DIED IN THE VYAZMA DEFENSIVE OPERATION IN OCTOBER 1941
Authors: Комаров Д.Е.
Published: April 2024

В представленной статье рассматривается судьба одного из представителей старшего командного состава РККА полковника Максима Гавриловича Кириллова. В должности командира 38-й стрелковой дивизии он участвовал в Вяземской оборонительной операции октября 1941 г. Полковник, командуя дивизией, сражался с врагом, был разбит, пленен, возглавил партизанский отряд, обвинен в «измене Родине» и расстрелян.

In the presented article, the fate of one of the representatives of the senior command staff of the Red Army, Colonel Maxim Gavrilovich Kirillov, is considered. As commander of the 38th rifle division, he participated in the Vyazma defensive operation in October 1941. The colonel, commanding the division, fought the enemy, was defeated, captured, led a partisan detachment, accused of “treason” and shot.
PSO-enhanced discrete-time integrated sliding mode-based control of three-level NPC converter for grid-connected PV-FC distributed generation system
Authors: Khoudiri Abdelkader , Khoudiri Said , Khaleel Mohamed
Published: April 2024

This study proposes the control of a three-level NPC converter applied in a PV-FC hybrid generation system based on discrete-time integral sliding mode control (DISMC) combined with the particle swarm optimization (PSO) technique. First, the comprehensive depiction and modeling of the system's main components are initially presented. Then, the controller's detailed design procedure is given.  The sliding manifold is designed to have a fast dynamic response, and its stability analysis is verified using the Lyapunov direct method. Next, the optimization procedure is introduced to calculate the optimal values of the DISMC gains. Furthermore, a power management strategy is examined within the proposed control system to maximize the utility of the power produced by the hybrid system; the control is done through the designed PSO-DISMC to allow decoupled control of the active and reactive powers in two distinct modes of operation (the feeder-flow control (FFC) and the unit-power control (UPC) modes). The simulation of the approach is conducted in MATLAB/Simulink, and the findings demonstrate the effectiveness and robustness of the proposed control strategy.
Desafios e avanços no tratamento da doença de Alzheimer: uma revisão abrangente das estratégias terapêuticas contemporâneas
Authors: Silva Claudenice Lourenço da , Lima Suellen Keyze Almeida , Oliveira Carlos Walmyr de Mattos , Gravetz Flávio Roberto , Valentim Laenne Ágata , Carvalho Gabriela Borges , Pandini Gabriela , Amaral Gabryella Nogueira , Amaral Filho Edimar Nogueira , Rodrigues Bruna Braga , Pereira Maria Vitória Rodrigues Alves , Nascimento Maria Rita Barcelos Corrêa do , Conceição Jamile de Assis Marques , Morais Júnior Francisco Almeida de , Tirollo Fernando Navarro , Sá Camila Marciele Caetano de , Alves Pedro Henrique Pereira da Silva
Published: April 2024

A Doença de Alzheimer (DA), uma condição neurodegenerativa prevalente que afeta principalmente indivíduos com mais de 70 anos, representa um desafio significativo para o manejo clínico devido à falta de uma cura definitiva. Este artigo científico oferece uma revisão abrangente das estratégias terapêuticas contemporâneas para o tratamento da DA, fundamentado em uma abordagem integrada de revisão bibliográfica e exploração. A metodologia adotada incluiu uma pesquisa criteriosa em plataformas reconhecidas, como PubMed, Google Acadêmico, SCIELO, LILLACS e Biblioteca Virtual em Saúde, utilizando palavras-chave como "Doença de Alzheimer", "fisiopatologia da Doença de Alzheimer" e "manifestações clínicas". A seleção de fontes foi orientada pela escolha criteriosa de obras especializadas em neurologia e patologia cerebral, além de referências abrangentes da medicina interna, priorizando autores renomados e contribuições relevantes. A análise dos dados revelou uma exploração profunda da definição da DA, seus desdobramentos clínicos e a progressão dos sintomas ao longo do tempo. O diagnóstico diferencial foi discutido em detalhes, destacando a importância da exclusão cuidadosa de outras etiologias de demência. Aspectos epidemiológicos, incluindo fatores genéticos, ambientais e a idade como determinantes da prevalência da doença, foram abordados. A patologia subjacente à DA, incluindo placas neuríticas e emaranhados neurofibrilares, foi examinada em profundidade. Os resultados da revisão também abordaram as estratégias terapêuticas atuais, como o uso de medicamentos aprovados pela FDA, abordagens experimentais e não farmacológicas, bem como os sintomas neuropsiquiátricos associados à DA e a importância da abordagem multidisciplinar no cuidado dos pacientes. Este estudo busca fornecer uma visão abrangente das estratégias terapêuticas atuais e dos desafios enfrentados no tratamento da DA, visando orientar profissionais de saúde e cuidadores na prestação de cuidados eficazes e compassivos aos pacientes afetados por esta complexa condição neurodegenerativa.
Uma sinfonia de transformação: os benefícios da musicoterapia no cenário terapêutico do Transtorno do Espectro Autista (TEA)
Authors: Nava Carolina Fátima Gioia , Godoy Yasmim Albernaz Maia de , Souza Ravenna Resende Novais , Luna Bárbara Maria Aguiar , Nunes Maria do Carmo Holanda , Pinto Murillo de Sousa , Oliveira Stela Ramirez de , Leite Marinaldo Soares , Almeida Fábio Marques de
Published: April 2024

A música se tornou uma ferramenta terapêutica que estimula a interação e o desenvolvimento das habilidades comprometidas dos indivíduos com Transtorno do Espectro Autista (TEA). O objetivo deste estudo delineia-se na avaliação do impacto da musicoterapia no processo terapêutico às crianças portadoras do TEA, com o propósito de analisar os efeitos positivos na qualidade de vida dos pacientes. Trata-se de uma revisão integrativa, no qual, 11 artigos foram selecionados totalizando 46.239 participantes. A análise criteriosa desses estudos revelou que a musicoterapia não apenas contribui para a melhoria dos sintomas do autismo, mas também desempenha um papel crucial na promoção da inclusão social e na redução do estigma associado ao TEA. Os resultados demonstraram que a musicoterapia estimula a criatividade, promove interações sociais mais amplas e enriquecedoras, e otimiza a compreensão de fatores emocionais e comunicativos. Além disso, a abordagem terapêutica se mostrou segura, com baixo limiar de intervenção e capaz de promover o desenvolvimento da identidade individual dos participantes. A divulgação dos benefícios da musicoterapia no TEA pode contribuir para a conscientização da comunidade civil, ampliando as opções de cuidados e intervenções disponíveis. Em suma, este estudo destaca a importância da musicoterapia como uma ferramenta terapêutica integral e transformadora no contexto do TEA, ressaltando seus efeitos positivos na comunicação verbal, interação social, empatia e mobilidade dos indivíduos com autismo. Ademais, o trabalho destaca a importância de reunir e analisar estudos científicos, servindo como base para futuras pesquisas e publicações na área. Reconhecendo as limitações e desafios na literatura, especialmente em estudos com musicoterapeutas e diferentes graus de TEA, orienta os pesquisadores sobre novas direções a serem exploradas. Portanto, a sinfonia da musicoterapia ressoa como uma promissora aliada no caminho rumo ao bem-estar e à inclusão dos indivíduos com TEA.
PENGARUH PROFITABILITAS, INTENSITAS ASET TETAP, DAN UKURAN PERUSAHAAN TERHADAP AGRESIVITAS PAJAK PADA PERUSAHAAN INDUSTRI BARANG KONSUMSI SUB SEKTOR MAKANAN DAN MINUMAN YANG TERDAFTAR DI BEI PERIODE 2018-2021
Authors: Helen Helen , Mulatsih Endang Sri , Kurniati Echi , Wandestarido Wandestarido
Published: April 2024

Pajak merupakan salah satu pendapatan terbesar bagi negara. Sehingga pemerintah menaruh perhatian lebih pada sektor perpajakan. Pembayaran pajak yang sesuai dengan ketentuan tentunya akan bertentangan dengan tujuan utama perusahaan yaitu memaksimalkan keuntungan atau laba, sehingga perusahaan berusaha untuk meminimalkan biaya pajak yang ditanggungnya. Cara yang dilakukan oleh perusahaan ialah dengan cara yang legal dan tidak melanggar hukum (Tax Avoidance) dengan menerapkan strategi Agresivitas Pajak lewat kegiatan perencanaan pajak Tax Planning dan Tax Saving. Faktor-faktor yang mempengaruhi Agresivitas Pajak yaitu Profitabilitas, Intensitas Aset Tetap dan Ukuran Perusahaan. Tujuan dalam penelitian ini adalah untuk mengetahui pengaruh Profitabilitas, Intensitas Aset Tetap, dan Ukuran Perusahaan Secara Parsial dan Simultan terhadap Agresivitas Pajak pada perusahaan Industri Barang Konsumsi Subsektor Makanan dan Minuman yang terdaftar di BEI Periode 2018-2021. Penelitian ini menggunakan metode kuantitatif. Metode analisis data yang digunakan metode Deskriptif dan Verifikatif. Hasil penelitian ini menunjukkan bahwa Profitabilitas dan Intensitas Aset Tetap tidak berpengaruh terhadap Agresivitas Pajak sedangkan ukuran perusahaan berpengaruh terhadap Agresivitas Pajak.
PENGARUH DISIPLIN KERJA TERHADAP KINERJA KARYAWAN PADA PT.TELKOM INDONESIA
Authors: Puspita Rindiani , Darmawan Sukaria , Maliki Usman
Published: April 2024

Tujuan penelitian ini adalah untuk mengetahui Pengaruh Disiplin Kerja Terhadap Kinerja Karyawan pada  PT. Telkom Indonesia cabang Palembang, Permasalahan dalam penelitian ini adalah apakah disiplin kerja berpengaruh terhadap kinerja karyawan atau tidak. Pengujian Hipotesis menggunakan analisis regresi linier sederhana, melalui uji t dengan  maksud  untuk   mengetahui  pengaruh   variabel  indenpenden   terhadap  variabel dependen pada tingkat kedisiplinan 95% ( a = 0,05 ). Hasil pengujian uji t pada variabel  Kedisiplinan berpengaruh positif terhadap kinerja. Hal ini terlihat dari nilai t hitung ( 3,440 ) > t tabel ( 2,021 ), Signifikasi ( 0,001 ) dibawah atau lebih kecil dari 0,05 , sedangkan pada variabel berpengaruh positif terhadap kinerja, Hal ini terlihat dari nilai t hitung 3,3440 tabel 2,021 dan Signifikasi 0,001 dibawah atau lebih kecil dari 0,005.
PENGARUH KEPEMILIKAN MANAJERIAL,KEPEMILIKAN INSTITUSSIONAL DAN PROFITABILITAS TERHADAP KEBIJAKAN HUTANG PADA PERUSAHAAN SUB SEKTOR LOGAM DAN SEJENISNYA YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2017-2021
Authors: Astuti Mia , Marzuki Agustina , Ridho Ahmad Muhammad , Nopen Candra Nopen , Sazili Sazili
Published: April 2024

Kebijakan hutang merupakan kebijakan pendanaan perusahaan mengenai penambahan atau pengurangan hutang perusahaan yang diambil oleh pihak manajemen dalam rangka memperoleh sumber pembiayaan bagi perusahaan sehingga dapat digunakan untuk membiayai aktivitas operasional perusahaan. Faktor-faktor yang mempengaruhi kebijakan hutang dalam penelitian ini adalah kepemilikan manajerial, kepemilikan institusional dan profitabilitas. Metode penelitian yang digunakan kuantitatif dan analisis deskriptif. Teknik sampel menggunakan sampling purposive, jumlah populasi adalah 17 perusahaan sub sektor logam dan sejenisnya di BEI periode 2017-2021, sehingga sampel penelitian yang memenuhi kriteria sebanyak 6 perusahaan. Metode pengumpulan data menggunakan data sekunder yang berasal dari laporan keuangan sedangkan alat analisis data adalah regresi linier berganda dengan menggunakan SPSS versi 26.0. Penelitian ini memiliki hasil yang menunjukkan bahwa secara parsial kepemilikan manajerial dan profitabilitas berpengaruh negatif terhadap kebijakan hutang sedangkan kepemilikan institusional berpengaruh positif terhadap kebijakan hutang. Hasil nilai koefisien determinasi sebesar 60,5% yang menunjukkan bahwa kepemilikan manajerial, kepemilikan institusional dan profitabilitas berpengaruh terhadap kebijakan hutang, sisanya 39,5% dipengaruhi variabel lain yang tidak dimasukkan dalam penelitian ini.
PENGARUH KEMAMPUAN KERJA, KEPEMIMPINAN DAN KOMPENSASI TERHADAP KEDISIPLINAN KERJA KARYAWAN PT.AMAAN INDONESIA SEJAHTERA PALEMBANG
Authors: Karina Okta , Helmi Muhamad , Aktarina Destia , Furqon Muhammad
Published: April 2024

Disiplin kerja pada diri karyawan mempunyai peran penting, karena dengan disiplin diharapkan setiap individu karyawan dapat patuh terhadap peraturan-peraturan dan norma yang berlaku dalam suatu perusahaan guna meningkatkan keteguhan karyawan dalam mencapai tujuan perusahaan. Tujuan dalam penelitian ini adalah untuk mengetahui pengaruh kemampuan kerja, kepemimpinan dan kompensasi secara parsial dan simultan terhadap kedisiplinan kerja karyawan PT. Amaan Indonesia Sejahtera Palembang. Tehnik penarikan sampel dalam penelitian ini menggunakan sampel jenuh. Sampel yang di ambil dalam penelitan ini adalah 80 orang karyawan PT. Amaan Indonesia Sejahtera Palembang. Metode analisis data dalam penelitian ini adalah metode kuantitatif. Metode analisis data dalam penelitian ini metode deskriptif verifikatif. Hasil uji T dapat dijelaskan variabel kemampuan kerja, kepemimpinan dan kompensasi berpengaruh positif terhadap kedisiplinan kerja karyawan PT. Amaan Indonesia Sejahtera Palembang. Hasil uji F penelitian ini mampu membuktikan hipotesis yang menyatakan minimal ada satu variabel bebas yaitu kemampuan kerja, kepemimpinan, dan kompensasi berpengaruh positif terhadap kedisiplinan kerja karyawan PT. Amaan Indonesia Sejahtera Palembang. Koefisien determinasi Adjusted R Square yang diperoleh nilai sebesar 0,207. Hal ini menunjukkan bahwa kedisiplinan kerja dipengaruhi oleh variabel kemampuan kerja, kepemimpinan, dan kompensasi sebesar 55,5% sedangkan sisanya sebesar 44,5% (100% - 55,5%) dipengaruhi oleh faktor lain yang tidak termasuk dalam penelitian ini.
PENGARUH ARUS KAS, STRUKTUR MODAL, PROFITABILITAS, DAN PERTUMBUHAN PENJUALAN TERHADAP KEPUTUSAN INVESTASI PADA PERUSAHAAN FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2016-2020
Authors: Aprilia Ririn , Utari Dian , Carolina Debi , Pratiwi Nurul Mardiyyah
Published: April 2024

Keputusan investasi adalah suatu kebijakan pengalokasian modal atau sumber dana yang dimiliki oleh individu maupun perusahaan ke dalam suatu kegiatan investasi yang diharapkan nantinya akan menghasilkan keuntungan. Faktor-faktor yang mempengaruhi keputusan investasi dalam penelitian ini adalah arus kas, struktur modal, profitabilitas, dan pertumbuhan penjualan. Tujuan penelitian ini yaitu untuk mengetahui perkembangan arus kas, struktur modal, profitabilitas, pertumbuhan penjualan, dan keputusan investasi pada perusahaan farmasi yang terdaftar di Bursa Efek Indonesia periode 2016-2020, serta untuk mengetahui pengaruh arus kas, struktur modal, profitabilitas, dan pertumbuhan penjualan terhadap keputusan investasi pada perusahaan farmasi yang terdaftar di Bursa Efek Indonesia periode 2016-2020 secara parsial dan simultan. Locus dalam penelitian ini adalah perusahaan farmasi yang terdaftar di Bursa Efek Indonesia periode 2016-2020. Sampel dalam penelitian ini sebanyak 10 perusahaan dengan teknik sampling purposive. Metode penelitian yang digunakan adalah metode kuantitatif. Metode analisis data yang digunakan adalah deskriptif dan verifikatif. Hasil penelitian menunjukkan bahwa perkembangan arus kas, struktur modal, profitabilitas, pertumbuhan penjualan dan keputusan investasi selalu mengalami fluktuasi dari tahun ke tahun. Hasil pengujian secara parsial menunjukkan bahwa struktur modal berpengaruh terhadap keputusan investasi, sedangkan arus kas, profitabilitas, dan pertumbuhan penjualan tidak berpengaruh terhadap keputusan investasi. Hasil pengujian secara simultan menunjukkan bahwa minimal ada satu variabel X (arus kas, struktur modal, profitabilitas, dan pertumbuhan penjualan) yang berpengaruh terhadap keputusan investasi. Hasil pengujian koefisien determinasi pengaruh variabel bebas arus kas (X1), struktur modal (X2), profitabilitas (X3), dan pertumbuhan penjualan (X4) terhadap keputusan investasi (Y) sebesar 41,7%, sisanya 58,3% (100% - 41,7%) dipengaruhi oleh variabel lain yang tidak dimasukkan dalam penelitian.
ASSESSMENT OF OUTCOMES OF MALIGNANCY PATIENTS ADMITTED IN INTENSIVE CARE UNITS
Authors: PERVAIZ R , ARIF B , SARWAR T , RIZVI AZ , MUNAWAR MU , KANDEEL H , AWAD AHA
Published: April 2024

Background: The decision to admit advanced cancer patients to the intensive care unit (ICU) is multifaceted, considering factors such as prognosis and quality of life. Objectives: The objective of this study was to identify mortality risk factors in critically ill advanced cancer patients admitted to the ICU. Study Design: This was an observational study. Setting: The study was conducted at Bahria International Hospital, Lahore. Duration of Study: The study was conducted between March 2022 and March 2023.Material and Methods: A total of 65 adult cancer patients admitted non-electively to the ICU were enrolled in the study. Data on demographics, clinical conditions, and outcomes were collected. Independent medical decisions were collected by ICU staff. Results: The ICU mortality rate was 34.6%, increased to 59.4% within thirty days post-discharge. Patients spent an average of 15.2 days in the ICU. Common admission reasons included respiratory failure (36.2%) and sepsis/septic shock (59.2%). Cox regression analysis revealed six significant indicators of poor outcomes: acute kidney injury (AKI), sepsis with multiple organ failure (MOF), acute respiratory distress syndrome (ARDS), uncontrolled malignancy, mechanical ventilation, and vasopressor use. Conclusion: Our findings highlight AKI, sepsis, MOF, ARDS, and uncontrolled malignancy as prognostic predictors of early death in critically ill cancer patients admitted to the ICU. Additionally, mechanical ventilation and vasopressor use are associated with increased mortality risk. These insights can aid clinicians in optimizing care strategies for cancer patients
THE PREVALENCE, RISK FACTORS, AND OUTCOMES OF DELIRIUM AMONGST ICU PATIENTS. A STUDY FROM THE LOCAL POPULATION OF PAKISTAN
Authors: PERVAIZ R , SARWAR T , ARIF B , BANO S , NAYYAR MA , MOSTAFA AMH , ELMASRY WG , RAZA S
Published: April 2024

Background: Patients admitted to intensive care units (ICUs) often experience delirium, which is associated with adverse outcomes including prolonged ICU stays, increased mortality rates, and elevated healthcare costs. Despite its significance, delirium in Pakistan remains understudied. Objectives: To assess the delirium prevalence, identify predisposing factors and precipitating events, determine predictors of delirium, and explore its impact on ICU length of stay and mortality. Study Design: The study utilized a prospective observational design. Setting: The study was conducted at Bahria International Hospital ICU in Lahore, Pakistan. Duration of Study: This study was conducted from September 2022 to March 2023.  Material and Methods: Utilizing the Intensive Care Delirium Screening Checklist (ICDSC), bedside nursing staff evaluated 140 patients twice daily. Data on predisposing factors, precipitating events, and clinical parameters were collected. Regression analysis was performed to identify predictors of delirium. Results: The study found a delirium prevalence of 29.2%, significantly affecting ICU length of stay. Regression analysis identified sepsis, metabolic acidosis, nasogastric tube use, and APACHE II score as independent predictors of delirium among ICU patients. Conclusion: Given the detrimental effects of delirium, implementing multidisciplinary preventive strategies targeting modifiable risk factors are recommended to improve patient outcomes.
Multi-Criteria Evaluation of the Effectiveness of Computer Crime Disclosure Under Ecuadorian Legal Regulations
Authors:   Universidad Regional Autónoma de los Andes , Puyo, Ecuador, Medına Med� ,   Universidad Regional Autónoma de los Andes , Riobamba, Ecuador,   Universidad Regional Autónoma de los Andes , Santo Domingo, Ecuador, .. Guambo Llerena M. � , Leonardo Toapanta J.
Published: April 2024

Decision-making based on multiple criteria is common in various contexts, recognized for its high complexity in seeking viable solutions. Computer crimes encompass any act with criminal intent that seeks to cause harm or put at risk a legally protected interest using computer tools. This study aims to determine whether residents of Santo Domingo are aware of computer crimes established in Ecuadorian legislation, employing multicriteria evaluation techniques and the TODIM and PROMETHEE methods. These methodologies are complemented by neutrosophic single-value sets, based on neutrosophic logic, to effectively manage the indeterminate and inconsistent information typical in real-world scenarios. In this way, the utility of these techniques for addressing complex problems in daily life and in various social domains is demonstrated.
Object Detection Using Deep Learning
Authors:   Associate Professor, Panimalar Engineering College, India, S. S. ,   U.G Student, Panimalar Engineering College, India,   U.G Student, Panimalar Engineering College, India,   U.G Student, Panimalar Engineering College, India,   U.G Student, Panimalar Engineering College, India, S. Vibu Krishnan. , Kumar Mathan Raj , .. Ashok , Janakiraman M.
Published: April 2024

Object recognition is an important task in computer vision that involves identifying the objects such as digital images or videos. This research paper provides a comprehensive review of the different techniques and applications of object recognition. The paper first discusses the basic concepts of object recognition, including feature extraction and matching, classification, and detection. Next, the paper reviews the different techniques for object recognition, such as template matching, PCA-based recognition, and deep learning-based recognition. The paper then presents an overview of the different applications of object recognition, including image and video classification, object tracking, face recognition, and autonomous driving. Finally, the paper ends with a discussion of the difficulties and likely new paths for object recognition.
Survey Paper About Carbon Footprint
Authors:   UG student, ai  ds  panimalar engineering college, chennai,india, Mohammad Mohammad ,   UG student, ai  ds  panimalar engineering college, chennai,india,   UG student, ai  ds  panimalar engineering college, chennai,india, Reddy Mota Harshavardhan , Tharik Mohamed
Published: April 2024

The aim of this proof of concept is to develop a framework to trace the carbon footprints emitted by fossil fuels during power generation. The framework will utilize a life cycle assessment approach to identify the amount of greenhouse gas emissions associated with each stage of the power generation process, from raw material (fuel) extraction to power delivery. The proof of concept will focus on the use of coal and natural gas, which are the most widely used fossil fuels in power generation.The data collected from sources is used to create model which can help us to estimate the amount of carbon footprint generated from different types of power plants like coal-fired power plants and natural gas-fired power plants.The results of this proof of concept are analyzed to identify areas where we can reduce the greenhouse gas emission and also to develop and deploy strategies to transition to cleaner sustainable energy sources.Overall, this concept will provide a valuable tool for energy policymakers and stakeholders to make informed decisions about reducing carbon footprints from fossil fuel power generation
HISTORICISING THE MONSTROSITY OF JEALOUSY IN OTHELLO AND THE WINTER’S TALE
Authors: Ahmed Dr Naseer
Published: April 2024

This article historicises the monstrosity of the passion of jealousy and situates it in its early modern cultural context with special reference to Othello and The Winter’s Tale; hence, the study is separate from the pure discussion of the nature or causes of jealousy. The cultural effects of the Reformation and the Renaissance and the abundant availability of literature, both original and in translations, inspired Shakespeare to portray the monstrosity of jealousy with all its early modern character. Most of such literature retained a strong influence from the classical antiquity. Moreover, the patriarchal standards of the period and residual elements of the shame culture rendered jealousy such a strong inflammability that it could, in early modern culture, “Burn like the mines of sulphur” (Othello: III.3.323).i The study contextualises and historicises the monstrosity of the passion of jealousy in the chosen plays and concludes that jealousy in Shakespeare’s society was regarded as a complex male-oriented malady, accompanied by monstrosity of violent passions capable of wreaking havoc in the family life of the victim. Shakespeare portrays Othello and Leontes as the epitome of this monstrous passion as was known to the people, the intelligentsia and the stage-goer which gave it an axiomatic status
Estimating Rural Premium and Financial Crisis Effect on the Nexuses between Food, Energy, and Water Consumption on Urban-Rural Income Gap in South–Eastern Asian Countries Using Pooled Regression Analysis
Authors: Khamjalas Khambai
Published: April 2024

Poverty and inequality reduction and access to affordable clean energy and clean water are among the global sustainable development goals. Yet, researchers have overlooked how food, energy, and water (FEW) resources can be instrumental in reducing the urban-rural income gap. In this article, ordinary least squares regression analysis was used to estimate rural premium and financial crisis effect on the nexuses between food, energy, and water consumption on urban-rural income gap using a sample of data pooled from three Asian countries: China, India, and Indonesia over 2000 to 2019. No significant urban or crisis effect on the poverty rate was established. However, a significant crisis effect on the poverty gap was established, but not on the urban premium. A significant positive interaction between food insecurity and water was established. Water supply improves agricultural production, improves food security, and reduces poverty by raising income. However, modern clean energy is associated with rising income inequality. Modern energy technologies benefit a few wealthier individuals investing in the energy and agriculture sectors. Therefore, improved water access, particularly to support food production and affordability, and efficient utilization of clean fuels and technologies among all individuals, regardless of socio-economic class, are crucial to escaping poverty and achieving prosperity.
Unlocking the pathological pathway in urinary tract infection-induced brain fog: A literature review
Authors: Kteich Youssef , Ftouni Hadi , Hamdar Hiba , Sapoor Shady
Published: April 2024

Brain fog is a common and bothersome symptom caused by urinary tract infections. Along with other symptoms like delirium, memory issues, confusion, and disorientation, this cognitive impairment may include trouble thinking clearly. Sudden confusion or delirium can be brought on by urinary tract infections, especially in elderly or dementia patients. It is hypothesized that urinary tract infections affect hippocampal neurogenesis and other aspects of brain homeostasis, which may be linked to their effects on cognitive function. Moreover, mental anguish and confusion are linked to urinary tract infections, though not all symptoms that resemble urinary tract infections are caused by urinary tract infections. Our search turned up articles about delirium, brain fog, and urinary tract infections in PubMed, Google Scholar, Scopus, and other online databases. Urinary tract infections (UTIs) can cause a variety of symptoms, including brain fog, confusion, and delirium. These symptoms can impair cognitive function and require a thorough diagnosis.

This review describes the various symptoms that are linked to urinary tract infections, ranging from traditional indications like fever and frequent urination to non-specific symptoms like delirium and confusion. It emphasizes how important it is to diagnose and comprehend non-specific symptoms by including assessment tools such as the Glasgow Coma Scale, DSM-V, and the Brief Confusion Assessment Method. In addition, it discusses the current controversy regarding the management of individuals with asymptomatic bacteriuria or urinary tract infections, emphasizing the difficulties in avoiding and treating urinary tract infections -related mental impairment. Confusion and delirium brought on by urinary tract infections are better understood when underlying causes, such as immunological, genetic, and microbiological factors, are investigated.
Evaluating underlying factors such as immunological, genetic, microbiological aspects can lead to a better understanding of the confusion and uncertainty caused by UTI. This knowledge can help healthcare professionals in conditions, in order to improve diagnostic, therapeutic and management strategies for patients experiencing UTI and possibly cognitive impairment.