Edge-Aware Dual-Task Image Watermarking Against Social Network Noise by Hao Jiang, Jiahao Wang, Yuhan Yao, Xingchen Li, Feifei Kou, Xinkun Tang, Limei Qi

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Identifying gaps and optimising clinical practice and guideline of adrenal incidentaloma management by Chan Khin, Samriaz Nafees, Muhammad Haroon Riasat, Riya Raphael, Mojeed Adiat, Nicholas Mcwhirter, Fatima Ali

“…Nearly all cases (98.3%) were detected incidentally, with contrast-enhanced computed tomography (CT) being the most common imaging modality (67.2%). …”
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A bit closer to the past: the three-dimensionalization of an Inca ceremony in the north Calchaquí Valley (Salta, Argentina) by Alejandro Andrés Ferrari, Joaquín Ignacio Izaguirre, Félix Alejandro Acuto

“…Highlights: • Inca public performances were finely choreographed so that objects, places, people, landscape, and skyscape features interacted according to the main principles of imperial cosmology…”
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High-Performance Voltage-Boost Switched-Coupled-Inductor DC–DC Converters Deduced From Impedance Source Networks by Yuliang Ji, Lina Geng

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Road Event Detection and Classification Algorithm Using Vibration and Acceleration Data by Abiel Aguilar-González, Alejandro Medina Santiago

“…Traditional approaches often require complex feature engineering or the use of machine learning models, which can be computationally intensive, especially when dealing with real-time data from high-frequency vibration and acceleration sensors. …”
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Synchronization of Chaotic Systems with Huygens-like Coupling by Jonatan Pena Ramirez, Adrian Arellano-Delgado, Rodrigo Méndez-Ramírez, Hector Javier Estrada-Garcia

“…One of the earliest reports on synchronization of inert systems dates back to the time of the Dutch scientist Christiaan Huygens, who discovered that a pair of pendulum clocks coupled through a wooden bar oscillate in harmony. A remarkable feature in Huygens’ experiment is that different synchronous behaviors may be observed by just changing a parameter in the coupling. …”
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Assessment of the Diagnostic Accuracy of Artificial Intelligence Software in Identifying Common Periodontal and Restorative Dental Conditions (Marginal Bone Loss, Periapical Lesion... by Wael I. Ibraheem, Saurabh Jain, Mohammed Naji Ayoub, Mohammed Ahmed Namazi, Amjad Ismail Alfaqih, Aparna Aggarwal, Abdullah A. Meshni, Ammar Almarghlani, Abdulkareem Abdullah Alhumaidan

“…A pre-trained AI-based computer-aided detection (“CADe”) software (Second Opinion^®, version 1.1) was used for the detection of the predefined features. …”
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Metastatic neuroendocrine tumor with extensive bone marrow involvement at diagnosis: Evaluation of response and hematological toxicity profile of PRRT with 177Lu-DOTATATE by Sandip Basu, Rohit Ranade, Pradeep Thapa

“…The selected patients were analyzed for the following: (i) Patient and lesional characteristics, (ii) associated metastatic burden, (iii) hematological parameters at diagnosis and during the course of therapy, (iv) response to PRRT (using a 3-parameter assessment: Symptomatic including Karnofsky/Lansky performance score, biochemical finding, and scan finding), (v) dual tracer imaging features [with somatostatin receptor imaging (SRI) and fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT)]. …”
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Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischem... by Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y

“…The final model included ten parameters: EVT attempts, diabetes mellitus, previous ischemic stroke, National Institutes of Health Stroke Scale (NIHSS score), preoperative infarction in the basal ganglia, baseline diastolic blood pressure, clot burden score (CBS)/basilar artery on computed tomography angiography (BATMAN) score, stroke cause, collateral grade, and MLS.Conclusion: We developed and validated the first interpretable machine learning model for CIR prediction after EVT, surpassing traditional methods. …”
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Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes by Mohammad Ghouse Syed, Emanuele Trucco, Muthu R. K. Mookiah, Chim C. Lang, Rory J. McCrimmon, Colin N. A. Palmer, Ewan R. Pearson, Alex S. F. Doney, Ify R. Mordi

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Adiabatic state conversion for (a)cyclic non-Hermitian quantum Hamiltonians of generalized functional form by Nicholas S. Nye, Nikolaos V. Kantartzis

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Horizon Wavefunction of Generalized Uncertainty Principle Black Holes by Luciano Manfredi, Jonas Mureika

“…Considering the case of a wave-packet shaped by a Gaussian distribution, we compute the HWF and the probability PBH that the source is a (quantum) black hole, that is, that it lies within its horizon radius. …”
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Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control by Adisu Tadese Demora, Chala Merga Abdissa

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LeafLaminaMap: Exploring Leaf Color Patterns Using RGB Color Indices by Péter Bodor-Pesti, Lien Le Phuong Nguyen, Thanh Ba Nguyen, Mai Sao Dam, Dóra Taranyi, László Baranyai

“…LeafLaminaMap was developed in Scilab with the Image Processing and Computer Vision toolbox, and the code is available freely at GitHub. …”
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Preoperative digital 6-minute walk test reveals risk of postoperative pulmonary complications in patients undergoing heart valve surgery: a pilot feasibility study by Lixuan Li, Yuqiang Wang, Zhengbo Zhang, Zeruxin Luo, Wenqing Wang, Jiachen Wang, Xiaoli Liu, Ying Shi, Tian Yuan, Yong Fan, Hong Liang, Yingqiang Guo, Buqing Wang, Jing Wang, Jiaoxue Deng

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Clinical Significance of Lung Microbiota and Experience of the Inhaled Antibacterial Therapy in Children of the Omsk Cystic Fibrosis Center (Сase Series) by Elena B. Pavlinova, Aleksandra G. Mingairova, Tat’yana I. Safonova, Irina A. Kirshina, Zul’fiya A. Zakirova, Tat’yana Yu. Korneeva, Anna A. Shevlyakova, Tat’yana Ya. Lapunova, Ol’ga P. Arkhipova, Natal’ya Yu. Vlasenko, Natal’ya A. Polyanskaya, Ol’ga A. Savchenko, Veniamin I. Demchenko

“…Children infected with P. aeruginosa had a lot more deviations of lung function measured by the computed bronchophonography and spirometry, they more often had changes in chest computed tomography than patients free of P. aeruginosa infection. …”
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Mobile Apps and Visual Function Assessment: A Comprehensive Review of the Latest Advancements by Caius Goh, Marilyn Puah, Zhi Hong Toh, Joewee Boon, Debbie Boey, Ryan Tay, Ashita A. Sule, Renee Liu, Xing-Er Ong, Aditya Kalra, Satvik Gupta, Andres Rousselot, William Rojas-Carabali, Bryan Ang, Rupesh Agrawal

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Naringenin-Loaded Solid Lipid Nanoparticles: Physical–Chemical Characterization and In Vitro Antibacterial Activity by Federica De Gaetano, Francesco Caridi, Noemi Totaro, Consuelo Celesti, Valentina Venuti, Giovanna Ginestra, Antonia Nostro, Silvana Tommasini, Cinzia Anna Ventura, Rosanna Stancanelli

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Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization by Sana Alazwari, Hussah Nasser AlEisa, Mohammed Rizwanullah, Radwa Marzouk

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Value Chain Modeling in Digital Strategic Management by I. M. Stepnov, Yu. A. Kovalchuk

“…The analysis of existing approaches reveals the following unsolved problems: frst, the absence of direct interconnection between the expenses on digitalization and the results received with the use of digital platforms, and second, information is not singled out as a separate expense category in cost accounting, management and control regardless of the considerable percentage increase of an enterprise expenses on cloud computing service and technology. The authors model the newly created value in digital environment by a) defning a service (not fnished goods) as an integrating element which is typical of digital economy; b) singling out the variants of market cooperation with the use of platforms on the basis of traditional contracts, agreements “by default”, registered users of the platforms, smart contracts; c) choosing basic parameters — investments in the capital which is aggregated by the process and the costs of operating activity participants (by technological limits) supplemented by semi fixed costs; d) using the concept of limits to represent operating activity which is sensitive to special features and proportions among separate stages of a technological process and introducing two information limits (“Data collection, storage and processing” and “Digital representation and market design”) which resulted in creation of the information and communication costs accounting object. …”
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