Electrocatalytic and photocatalytic activities of two alkynyl Ag20 cage clusters involved ligand exchange between PhCOO− and CF3COO− by Yi-Fan Tan, Li Li, Kun Zhou, Guang-Min Liang, Jing Sun, Jiu-Yu Ji, Yan-Feng Bi

“…Two silver alkynyl clusters, [(CO32−)@Ag20(tBuC≡C)14(PhCOO)3(CF3COO)] (1) and [(CO32−)@Ag20(tBuC≡C)14(PhCOO)(CF3COO)3] (2), composed of alkynyl Ag20 shell templated by a CO32− anion and supported by carboxyl ligands PhCOO− and CF3COO−, were synthesized successfully by conventional methods. Single crystal X–ray diffractometer (SCXRD) was used to determine the precise structures of 1 and 2. …”
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Nanostructured Lipid Carriers (NLC)-Based Topical Formulation of Hesperidin for Effective Treatment of Psoriasis by Anita Rani, Rajwinder Kaur, Afaf Aldahish, Rajalakshimi Vasudevan, Prasanalakshmi Balaji, Chander Parkash Dora, Balakumar Chandrasekaran, Thakur Gurjeet Singh, Rahul Sharma

“…Hence, our study aimed to develop a nanostructured lipid carrier (NLC) gel of hesperidin (HPD) using a systemic QbD approach for an effective treatment of psoriasis. <b>Methods</b>: Initially, HPD-NLC was optimized with independent variables (drug content, amount of liquid lipid, total lipid, and surfactant concentration) using Box–Behnken Design to assess dependent variables (particle size, size distribution, and entrapment efficiency). …”
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3D-CNN with Multi-Scale Fusion for Tree Crown Segmentation and Species Classification by Jiayao Wang, Zhen Zhen, Yuting Zhao, Ye Ma, Yinghui Zhao

“…The study consists of two main processes: (1) combining semantic segmentation algorithms (U-Net and Deeplab V3 Plus) with watershed transform (WTS) for tree crown detection (U-WTS and D-WTS algorithms); (2) resampling the original images to different pixel densities (16 × 16, 32 × 32, and 64 × 64 pixels) and inputting them into five 3D-CNN models (ResNet10, ResNet18, ResNet34, ResNet50, VGG16). …”
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Employing Siamese Networks as Quantitative Biomarker for Assessing the Effect of Dolphin-Assisted Therapy on Pediatric Cerebral Palsy by Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Erika Yolanda Aguilar del Villar, Hugo Quintana Espinosa, Liliana Chanona Hernández

“…The problem statement revolves around the need for objective measures to evaluate the impact of DAT on patients with SCP, considering the subjective nature of traditional assessment methods. The methodology involves training a Siamese network, a type of neural network designed to compare similarities between inputs, using data collected from SCP patients undergoing DAT sessions. …”
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Structural and optical characterization of TiO2 nanoparticles synthesized using Globularia alypum leaf extract and the antibacterial properties by Hanen Sellami, Muiz O. Akinyemi, Maroua Gdoura-Ben Amor, Damian C. Onwudiwe, Doctor M. N. Mthiyane

“…Abstract The biosynthesis of nanoparticles using environmentally friendly routes has gained attention due to the need for safe, non-toxic, and cost-effective methods of nanomaterials synthesis. In the present study, different volumes (10, 20, and 30 mL) of aqueous leaf extract of Globularia alypum (GA) were used to synthesize titanium dioxide (TiO2) nanoparticles (NPs). …”
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Development of vitex-derived polymer nanofibers using electrochemical sensors for the treatment of polycystic ovarian syndrome in rats as an animal model by Zaid H. Mahmoud, Uday Abdul-Reda Hussein, Najwa Aljbory, Mohammed Jawad Alnajar, Laleh Maleknia, Abolfazl Mirani, Ehsan kianfar

“…In this study, chasteberry-containing nanofibers were prepared by electrospinning to investigate their potential for polycystic follicles after induction of polycystic ovarian syndrome (PCOS). Materials and methods: Chasteberry-containing nanofibers were identified using Fourier-transform infrared spectroscopy (FTIR), Field Emission Scanning Electron Microscopy (FESEM), and thermal gravimetric analysis (TGA) tests, as well as drug release and antibacterial tests. …”
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Influence mechanisms of dynamic metamorphism on the evolution of micro/nano pore structures in tectonically deformed coals by Hewu LIU, Xiaoxue LYU, Chenliang HOU, Zuopeng XIONG

“…Exploring the evolutionary mechanisms of micro/nano pore structures in tectonically deformed coals (TDCs) under the influence of dynamic metamorphism assists in gaining a deep understanding of the mechanisms underlying coal and gas outbursts. MethodsUsing CO2 adsorption experiments, Fourier transform infrared (FTIR) spectroscopy, and molecular dynamics simulations, this study investigated the evolutionary characteristics and mechanisms of micro/nano pore structures in different TDCs occurring within the No.72 coal seam of the Qi’nan Coal Mine in Suzhou Province. …”
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Impact of Solvent Evaporation and Curing Protocol on Degree of Conversion of Etch-and-Rinse and Multimode Adhesives Systems by Ceci Nunes Carvalho, Marcos Daniel Septímio Lanza, Letícia Gomes Dourado, Edilausson Moreno Carvalho, José Bauer

“…This study evaluated the effect of air-drying time and light-curing time on the degree of conversion (DC) of three etch-and-rinse adhesive systems: ONE-STEP (OS) and ONE-STEP plus (OSP), Ambar (AMB), and two multimode adhesive systems: All-Bond Universal (ABU) and ScotchBond Universal (SBU) by Fourier transform infrared (FTIR) analysis. Materials and Methods. …”
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Assessment of community-based resilience to malaria in two transmission settings in Western Burkina Faso by Abdoul Azize Millogo, Lassane Yaméogo, Léa Paré Toé, Roger Zerbo, François de Charles Ouédraogo, Abdoulaye Diabaté

“…This study aimed to evaluate the resilience of two communities in different malaria transmission settings in Western Burkina Faso by examining their ability to absorb, adapt, and transform regarding malaria burden. …”
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Analytical Techniques for the Authenticity Evaluation of Chokeberry, Blackberry and Raspberry Fruit Wines: Exploring FT-MIR Analysis and Chemometrics by Ivana Vladimira Petric, Boris Duralija, Renata Leder

“…The modern analytical technique of Fourier-transform mid-infrared spectroscopy (FT-MIR) has found its place in routine wine quality control. …”
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Enhancing PMMA properties: a comprehensive study of nanographene oxide and Boron nitride impact through In-Vitro analysis by Hessah Alahmad, Reem Alamir, Mohammad Asadzadeh, Umer Daood, Syed Saad Bin Qasim

“…Therefore, the current investigation sought to evaluated physical, chemical, mechanical and antimicrobial potential of PMMA reinforced with nGO and hBN alone and synergistically as well. Methods Four different groups were prepared including the control group (G1)0.2.5 wt% nGO was added to the liquid component (G2), 1 wt% hBN was added to the powder component (G3) and 2.5 wt % nGO with 1 wt % hBN combined (G4.) …”
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EEG alpha/beta features as a biomarker for quantifying pain in patients with lumbar disk herniation by Rumei Li, Rumei Li, Wanqi Shao, Shumei Zhao, Lingli Wang, Chao Yu, Chao Yu, Lanying Liu, Kuiying Yin

“…Following the spectral analysis of the EEG signals with continuous wavelet transform, power ratios were extracted for four frequency bands (θ, α, β and γ). …”
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A Carbon-Based Nanomaterial with Dichotomous Effects: Antineoplastic on Oral Cancer Cells and Osteoinductive/Chondroinductive on Dental Pulp Stem Cells by Milica Jaksic Karisik, Nataša Jović Orsini, Jelena Carkic, Milos Lazarevic, Dijana Mitić, Bojan Jokanovic, Vukoman Jokanović, Jelena Milasin

“…Objectives: We aimed to synthesize a new carbon-based nanomaterial (CBN) and test its antineoplastic effects, as well as its potential regenerative capacity. Materials and Methods: A carbon nanomaterial, obtained by ball milling graphite flakes, was functionalized with polyvinylpyrrolidone (CBN/PVP). …”
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Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system by Philipp Teutsch, Philipp Pfeffer, Mohammad Sharifi Ghazijahani, Christian Cierpka, Jörg Schumacher, Patrick Mäder

“…We compare our approach to Proper Orthogonal Decomposition (POD) and two existing methods for interpretable CAEs. We apply all methods to three different experimental turbulent Rayleigh–Bénard convection datasets with varying complexity. …”
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Multi-scale CNN-CrossViT network for offline handwritten signature recognition and verification by Wanying Li, Mahpirat Muhammat, Xuebin Xu, Alimjan Aysa, Kurban Ubul

“…In addition, in order to make distance metric methods more applicable for writer independent signature verification in real-world scenarios, we propose an adaptive threshold method that can automatically obtain the optimal threshold from the training set and apply it to writer independent signature verification tasks. …”
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A Novel Object Categorization Decoder from fMRI Signals Using Deep Neural Networks by Alireza Shakeripour, Zahra Bahmani, Pooriya Aghaomidi, Shima Seyed-Allaei

“…The other block is a fully connected (FC) network for object recognition based on fMRI space. Using transformer capabilities and an overlapping method, the proposed architecture accounts for structural changes across different voxel sizes of the subjects' brains. …”
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ViT–KAN Synergistic Fusion: A Novel Framework for Parameter- Efficient Multi-Band PolSAR Land Cover Classification by Songli Han, Dawei Ren, Fan Gao, Jian Yang, Hui Ma

“…This innovative architecture effectively captures global spatial–spectral correlations through ViT’s cross-band self-attention mechanism and achieves parameter-efficient decision-level probability space mapping using KAN’s spline basis functions. The proposed method significantly enhances the model’s generalization capability across different band combinations. …”
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Enhanced Temporal Action Localization with Separated Bidirectional Mamba and Boundary Correction Strategy by Xiangbin Liu, Qian Peng

“…To address these issues, this paper proposes a state space model for temporal action localization, called Separated Bidirectional Mamba (SBM), which innovatively understands frame changes from the perspective of state transformation. It adapts to different sequence lengths and incorporates state information from the forward and backward for each frame through forward Mamba and backward Mamba to obtain more comprehensive action representations, enhancing modeling capabilities for long-term temporal sequences. …”
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Distillation-Based Cross-Model Transferable Adversarial Attack for Remote Sensing Image Classification by Xiyu Peng, Jingyi Zhou, Xiaofeng Wu

“…Existing feature-based attacks typically rely on a single surrogate model, making the generated adversarial examples less transferable across different architectures, such as transformer, Mamba, and CNNs. …”
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Learning super-resolution and pyramidal convolution residual network for vehicle re-identification by Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu

“…The experimental results show that the method proposed in this paper effectively captures the detail information of vehicle images, accurately distinguishes the subtle differences between different vehicles of the same type, and is superior to state-of-the-art methods.…”
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