MDS-Net: An Image-Text Enhanced Multimodal Dual-Branch Siamese Network for Remote Sensing Change Detection by Tao Wang, Tiecheng Bai, Chao Xu, Erlei Zhang, Bin Liu, Xining Zhao, Hongming Zhang

“…Remote sensing change detection (RSCD), which aims to identify differences between bitemporal images, has made great progress through the application of deep learning methods. …”
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A novel approach for encryption and decryption of digital imaging and communications using mathematical modelling in internet of medical things by S. Thalapathiraj, J. Arunnehru, V. C. Bharathi, R. Dhanasekar, L. Vijayaraja, R. Kannadasan, Muhammad Faheem, Arfat Ahmad Khan

“…Abstract This research introduces an innovative algorithm for the encryption and decryption of greyscale digital imaging and communications in medicine images utilizing Laplace transforms. The proposed method presents a ground breaking approach to image encryption, effectively concealing visual information and ensuring a robust, secure, and reliable encryption process. …”
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A Chain Extending from the Periphery to Dersaadet: Criminal Journals in the Ottoman Empire after 1846 by Kübra Nugay

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Swincloud: a hybrid network for cloud detection in thermal infrared remote sensing images by Long Gao, Liyuan Li, Jianing Yu, Xiaoxuan Zhou, Lu Zou, Nan Fang, Xiaofeng Su, Fansheng Chen

“…On the Landsat-8 cloud detection dataset, our model outperforms state-of-the-art methods. When transferred to the SDGSAT-TIS cloud detection dataset, the mIOU of experiment results reaches 69.9%, demonstrating the strong transferability of SwinCloud across different sensors. …”
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Data-Driven Health Status Assessment of Fire Protection IoT Devices in Converter Stations by Yubiao Huang, Tao Sun, Yifeng Cheng, Jiaqing Zhang, Zhibing Yang, Tan Yang

“…For validity assessment, a transformer-based time series reconstruction method is used, and anomaly thresholds are determined using the peaks over threshold (POT) approach from extreme value theory. …”
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CVCPSG: Discovering Composite Visual Clues for Panoptic Scene Graph Generation by Nanhao Liang, Xiaoyuan Yang, Yingwei Xia, Yong Liu

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Dynamic inverse piezo-effect problem for a long piezoceramic thermoelastic cylinder by M. A. Kalmova

“…The calculated relations obtained using the generalized method of finite integral transformations allow determining the stress-strain state and thermoelectric fields induced in a piezoceramic element under an arbitrary electrical external influence.Conclusion. …”
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Large-scale S-box design and analysis of SPS structure by Lan ZHANG, Liangsheng HE, Bin YU

“…A class of optimal linear transformation P over a finite field<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <msup> <mrow> <mrow><mo>(</mo> <mrow> <msubsup> <mi>F</mi> <mn>2</mn> <mi>m</mi> </msubsup> </mrow> <mo>)</mo></mrow></mrow> <mn>4</mn> </msup> </mrow></math></inline-formula> was constructed based on cyclic shift and XOR operation.Using the idea of inverse proof of input-output relation of linear transformation for reference, a proof method was put forward that transformed the objective problem of optimal linear transformation into several theorems of progressive relation, which not only solved the proof of that kind of optimal linear transformation, but also was suitable for the proof of any linear transformation.By means of small-scale S-box and optimal cyclic shift-XOR linear transformation P, a large-scale S-box model with 2-round SPS structure was established, and a series of lightweight large-scale S-boxes with good cryptographic properties were designed.Only three kind of basic operations such as look-up table, cyclic shift and XOR were used in the proposed design scheme, which improved the linearity and difference uniformity of large-scale S-boxes.Theoretical proof and case analysis show that, compared with the existing large-scale S-box construction methods, the proposed large-scale S-box design scheme has lower computational cost and better cryptographic properties such as difference and linearity, which is suitable for the design of nonlinear permutation coding of lightweight cryptographic algorithms.…”
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Rhetorical Unit “Silk Road” from the Perspectiveof Political Discourse Translation by Gayane Gasparyan, Mari Arzumanyan

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TFA-Net: A Temporal Feature Aggregation Framework for Tropical Cyclone Intensity Estimation From Satellite Images by Zhitao Zhao, Zheng Zhang, Qiao Wang, Linli Cui, Ping Tang

“…While the potential of temporal information for improving TC intensity prediction is recognized, existing methods have not fully leveraged this aspect. To address this, we propose TFA-Net, a deep-learning temporal feature aggregation framework based on a dual-branch Transformer, for TC intensity estimation. …”
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Challenges of Healthcare Systems in Saudi Arabia to Delivering Vision 2030: An Empirical Study From Healthcare Workers Perspectives by Al-Anezi FM

“…Unlike previous research, which has primarily focused on policy and structural reforms, this study provides empirical insights from healthcare workers, offering a frontline perspective on the barriers to effective healthcare transformation.Methods: A cross-sectional survey was conducted among 383 healthcare professionals from public and private hospitals. …”
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Bureaucratized Scientific Knowledge Production in the Area of Social Work within the Context of Neoliberalism: Investigation of Master’s Theses Research by Canan Neşe Kınıkoğlu, Caner Özdemir

“…Focusing on the period between 2005 and 2020, when the field of social work expanded in universities in Turkey, this paper poses the questions related to what social work master’s theses’ numbers, subjects, methods, and cases are, as well as how they are changing. …”
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Novel application of deep learning to evaluate conversations from a mental health text support service by Daniel Cahn, Sarah Yeoh, Lakshya Soni, Ariele Noble, Mark A. Ungless, Emma Lawrance, Ovidiu Şerban

“…We compare traditional methods and basic meta-features with the latest developments in Transformer-based architectures and showcase the advantages of mental health research.…”
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MSEI-ENet: A Multi-Scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding by Pengcheng Wu, Keling Fei, Baohong Chen, Lizheng Pan

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From intention to perception: emotional processes as a link between intended and perceived leadership styles by Rosa Mindeguia, Aitor Aritzeta, Alaine Garmendia, Amaiur Olarza

“…IntroductionResearch has shown that managers and employees often differ in their perceptions of leadership, and that agreement between them is essential for effective leadership. …”
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Thermal behavior and cyclic fatigue resistance of three contemporary NiTi heat-treated single-file systems: metallurgical study by Loai Alsofi, Mazen Al-Marshadi, Tariq AbuHaimed, Mey Al-Habib, Rajab Saif, Sarah Bukhari, Mohammed Howait

“…Further, to evaluate the cyclic fatigue behaviors by applying static (SF) and dynamic fatigue (DF) tests. Methods All files’ systems were evaluated using DSC (Netzch 200 F3, Germany) with scans ranging from 80°C to -80°C to compare phase transformation. …”
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Effect of Insulin Resistance on Prognosis of Intravenous Thrombolysis in Acute Ischemic Stroke Patients with or Without Type 2 Diabetes Mellitus by Sun Y, Deng W, Luo L, Chen M

“…T2DM group showed a higher proportion of poor prognosis (23% vs.11%, p < 0.001), but no significant difference in hemorrhagic transformation between the two groups. …”
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Molecular spectroscopy of blood plasma differentiates metabolic dysfunction-associated steatohepatitis from steatosis by Barbora Nováková, Ondřej Vrtělka, Kateřina Králová, Lucie Habartová, Václav Šmíd, Karel Dvořák, Jaromír Petrtýl, Kateřina Žížalová, Jan Stříteský, Libor Vítek, Martin Leníček, Vladimír Setnička, Radan Brůha

“…Methods We analyzed blood plasma samples from 29 patients with metabolic dysfunction-associated steatohepatitis (MASH) and 24 MASLD patients with simple steatosis using Fourier-transform infrared (FTIR) spectroscopy, Raman spectroscopy and electronic circular dichroism (ECD) spectroscopy to distinguish: (i) MASH; (ii) MASH with moderate to advanced fibrosis; and (iii) overall fibrosis. …”
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SEX DIFFERENCES OF VLF100 AND VLF50 SPECTRUM OF HEART RATE VARIABILITY IN HEALTHY INDIVIDUALS OF YOUNG AGE AND OLDER SUBJECTS WITH VASCULAR PATHOLOGY IN TERMS OF SEVEN-TEST, HYPERV... by Арнольд Наумович Флейшман, Татьяна Валентиновна Кораблина, Игорь Германович Халиулин, Станислав Альфредович Петровский, Артем Андреевич Неретин

“…Mathematical methods are the following: spectral analysis of HRV based on continuous wavelet transform and Hilbert-Huang transform, correlation analysis. …”
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The effect of Shen’an pills on serum parameters associated with tissue fibrosis in patients with chronic kidney failure by HAN Yi-tong, SUN Yi-jun, YANG Huan-rong

“…Objective To explore the therapeutic effect of Shen’an pills on renal fibrosis in patients with chronic kidney failure.Methods Those patients diagnosed with chronic kidney failure phase 3-5 by the department of nephrology in Weifang Yidu Centre Hospital from June 2016 to June 2017 were chosen to divide into the treatment group（n=42） and the control group（n=50）.All the patients were recommended to take some food with low content of valuable protein(0.6 g·kg^-1·d^-1) and low content of phosphorus,and to conduct symptomatic treatment with phosphate binders and hypotensive（if serum creatinine <265 μmol/L,ACEI or ARB was added）.At the same time,the patients in the treatment group took Shen’an pills regularly.All the patient in both the two group were observed for 6 months.Changes of the kidney function,inflammatory indicator and renal fibrosis indicator before treatment and at 3 months and 6 months after treatment were compared between the two groups.Results Before treatment,there were no significant statistical differences between the two groups（P>0.05）.At 3 months and 6 months after treatment,hypersensitive C reaction protein（Hs-CRP）,serum creatinine（SCr）,collagen type Ⅳ（Col-Ⅳ） and transformation growth factor（TGF-β） for the patients in the treatment group were all lower than those in the control group,with statistical significance of differences（P<0.05）.The levels of eGFR for the patients in the treatment group were also all lower than those in the control group,with statistical significance of differences（P<0.05）.Conclusions Clinical observations demonstrate that Shen’an pills can destroy the malignant cycle of "deficiency,dampness,stasis and poison",regulate water metabolism,promote blood circulation so as to remove blood stasis,and reduce toxins in the body,improving patients’ symptoms.At the same time,the ingredient rhubarb contained in Shen’an pills can postpone renal fibrosis,by inhibiting cell proliferation,inhibiting production of fibrogenic factors and regulating synthesis and decomposition of extracellular matrix.…”
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