INTERCEPTION OF CONTEMPORARY THEORIES OF MANAGEMENT AND SUSTAINABLE DEVELOPMENT CONCEPT by L.V. Zharova

“…The paper affirms that the development of modern management is based on the aspiring of long-term balance between all components and efficient use of resources. At present, it is impossible to build continuous success without entrepreneurship that includes design of new ideas within the organization. …”
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Nanosecond Magneto‐Ionic Control of Magnetism Using a Resistive Switching HfO2 Gate Oxide by Jimin Jeong, Yeon Su Park, Min‐Gu Kang, Byong‐Guk Park

“…Abstract Voltage‐controlled magnetism (VCM) offers an efficient operating method for various spintronic applications, with reduced power consumption compared to conventional current‐driven technologies. …”
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Multilingual Virtual Healthcare Assistant by Geetika Munjal, Piyush Agarwal, Lakshay Goyal, Nandy Samiran

“…ABSTRACT This study proposes a virtual healthcare assistant framework designed to provide support in multiple languages for efficient and accurate healthcare assistance. The system employs a transformer model to process sophisticated, multilingual user inputs and gain improved contextual understanding compared to conventional models, including long short‐term memory (LSTM) models. …”
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Smart insole-based abnormal gait identification: Deep sequential networks and feature ablation study by Beomjoon Park, Minhye Kim, Dawoon Jung, Jinwook Kim, Kyung-Ryoul Mun

“…Objective Gait analysis plays a pivotal role in evaluating walking abilities, with recent advancements in digital health stressing the importance of efficient data collection methods. …”
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Common Starlings (Sturnus vulgaris) increasingly select for grazed areas with increasing distance-to-nest. by Henning Heldbjerg, Anthony D Fox, Peder V Thellesen, Lars Dalby, Peter Sunde

“…The proximate mechanisms causing adverse effects to breeding Starlings are unclear, hampering our ability to implement cost-efficient agri-environmental schemes to restore populations to former levels. …”
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Pasireotide-induced hyperglycemia in Cushing’s disease and Acromegaly: A clinical perspective and algorithms proposal by Przemysław Witek, Marek Bolanowski, Adam Krętowski, Aleksandra Głowińska

“…The aim of this study was to review previous recommendations regarding the management of pasireotide-induced hyperglycemia in patients with CD and acromegaly and to propose efficient monitoring and treatment algorithms based on recent evidence and current guidelines for type 2 diabetes treatment. …”
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LKDA-Net: Hierarchical transformer with large Kernel depthwise convolution attention for 3D medical image segmentation. by Ming Li, Jingang Ma, Jing Zhao

“…In this paper, we propose a lightweight three-dimensional convolutional network, LKDA-Net, for efficient and accurate three-dimensional volumetric segmentation. …”
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Integrated structural analysis for geothermal exploration: A new protocol combining remote sensing and aeromagnetic geophysical data by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Pantelis Soupios

“…Geothermal energy holds significant potential as a sustainable and clean source, yet efficient exploration methodologies remain critical for identifying viable sites. …”
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Research on multi-branch residual connection spectrum image classification based on attention mechanism by Zhong Xiaohui, Dong Sheng, Zhang Yiyi, Lu Wei, Jiang Lincen

“…In order to optimize this problem, this paper proposes a multi-branch residual-connected Efficient Global Attention (EGA) acoustic spectral image classification network based on the attention mechanism, which firstly separates the components with their respective acoustic features from the spectral noise, so as to achieve the purpose of noise reduction, and then extracts the Phase Resolved Partial Discharge (PRPD) Spectrum of the Intermediate Frequency (IF) cycle for the original signals that have undergone noise reduction, which is based on the attention mechanism through the Improved Global Attention Mechanism (IGAM) in the EGA of the backbone network. mechanism pays more attention to the channel and spatial features of the spectrogram, then improves the feature extraction ability by residual connection, and finally performs feature fusion with the mask branch. …”
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The impact of emotional valence on the spatial scope of visual selective attention by Thitaporn Chaisilprungraung, Poopa Kaewbuapan, Singh Intrachooto, Sarigga Pongsuwan, Sirawaj Itthipuripat

“…Abstract The brain’s ability to prioritize behaviorally relevant sensory inputs (i.e., targets) while ignoring irrelevant distractors is crucial for efficient information processing. …”
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Predicting the onset of chronic kidney disease (CKD) for diabetic patients with aggregated longitudinal EMR data. by Neda Aminnejad, Michelle Greiver, Huaxiong Huang

“…This research contributes valuable insights for healthcare practitioners seeking efficient tools for early CKD detection in diabetic populations.…”
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Toward Salient Key Phrase for Candidate Topic Detection by Yasser S. Jude, Wafaa Al-Hameed

“…With exponential growth of digital information, the need for efficient methods for automatic keyphrase extraction has become increasingly important. …”
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Microwave assisted synthesis of fly ash based zeolites for degradation of reactive blue 19 dye from wastewater by Sanam Sadiq, Shahzad Ali Shahid Chatha, Shafaqat Ali, Mudassar Shahid, Pallab K. Sarker

“…It can be concluded that CSFA based zeolites are efficient adsorbent for the removal of reactive blue 19 dye from wastewater and may be an inexpensive and environmentally viable alternative material for wastewater treatment.…”
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Novel spirooxindole compounds as anticancer agents: targeting Plk4 kinase through design, synthesis, and molecular docking by Mervat S. Sammor, Almeqdad Y. Habashneh, Mahmoud A. Al-Sha'er, Sanaa K. Bardaweel, Mustafa M. El‐Abadelah

“…This paper examines the molecular design tools and efficient synthesis of novel spirooxindole compounds with anticancer properties, potentially mediated by Plk4 kinase suppression and consequent centrosome reduction. …”
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Design, synthesis and biological evaluation of novel kojic acid triazole hybrids as tyrosinase inhibitors and antibrowning agents by Dan Liu, Junyuan Tang, Sheng Tao, Dahan Wang, Jinbing Liu

“…Collectively, these findings position 13t as a highly promising candidate, providing a valuable molecular framework for the development of novel, efficient, and safe tyrosinase inhibitors endowed with potent antioxidant and anti-browning capabilities.…”
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Enhancing Pest Detection: Assessing Tuta absoluta (Lepidoptera: Gelechiidae) Damage Intensity in Field Images through Advanced Machine Learning by Edwin Lewıs, Atilla Erdinç, Yavuz Selim Şahin, Alperen Kaan Bütüner, Hilal Erdoğan

“…The integration of DTs in such applications, due to their unique ability to handle complex and indistinct shapes without the need for feature extraction, sets the stage for a new era of efficient and effective pest control strategies.…”
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Inspired by the Black Ghost Knifefish: Bionic Design of Undulatory Fin with 2-DOF Rays and Its Propulsion Performance by Jie Zhou, Nan Yu, Song Liu, Linbo Xin, Yuhui Liu, Guowei Gao, Zhonglai Na, Xuyan Hou

“…The concealed, mobile, and efficient underwater ability of fish provides many directions for research. …”
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Smart city: A system for measuring noise pollution by Ivan JEZDOVIĆ, Nevena NEDELJKOVIĆ, Lazar ŽIVOJINOVIĆ, Božidar RADENKOVIĆ, Aleksandra LABUS

“…Mobile application enables us to collect large amounts of data from different parts of the city in a quick and efficient. Collection of data can be done by any citizen who has an Android device with installed application. …”
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A Novel Method of Data Protection Through DNA Chromosome Databases by Sadoon Hussein, Ahmed Sami

“…DNA provides superior capabilities due to its high and efficient storage capacity and long lifespan. Protecting these data is of utmost importance, especially data with sensitive content. …”
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Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models by Qiankun Liu, Sam Amiri

“…With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. …”
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