Endoscopic Clot Evacuation of Spontaneous Intracerebral Hemorrhage: Optimizing Functional Recovery by I Wayan Niryana, Steven Awyono, Jevon Indra Susanto, Agung Bagus Sista Satyarsa

“…However, this treatment needs further evaluation to establish efficacy and refine patient selection criteria. Objectives: To evaluate the efficacy of endoscopic clot evacuation in improving functional outcomes (assessed by the modified Rankin scale, mRS) in patients with supratentorial sICH and to identify key prognostic factors influencing surgical success. …”
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Walkability Evaluation of Historical and Cultural Districts Based on Multi-Source Data: A Case Study of the Former Russian Concession in Hankou by Haoran She, Jing Sun, Yuchen Zeng, Wenyu Tu, Guang Ao, Wei Shang

“…Key issues such as low spatial quality and functional disorder were identified, and targeted optimization strategies are proposed. …”
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Commentary on differential impact of TIM-3 ligands on NK cell function by Rieneke van de Ven

“…Unfortunately in human patients the success rate of anti-TIM-3 ICB remains rather limited. …”
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Optimizing Hyperspectral Desertification Monitoring Through Metaheuristic-Enhanced Wavelet Packet Noise Reduction and Feature Band Selection by Weichao Liu, Jiapeng Xiao, Rongyuan Liu, Yan Liu, Yunzhu Tao, Tian Zhang, Fuping Gan, Ping Zhou, Yuanbiao Dong, Qiang Zhou

“…We applied Particle Swarm Optimization (PSO) to fine-tune the Wavelet Packet (WP) decomposition levels, thresholds, and wavelet basis function, ensuring optimal spectral decomposition and reconstruction. …”
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Value-difference learning based mMTC devices access algorithm in multi-cell network by Xin LI, Jun SUN

“…In the massive machine type communication scenario of 5G, the access congestion problem of massive machine type communication devices (mMTCD) in multi-cell network is very important.A double deep Q network with value-difference based exploration (VDBE-DDQN) algorithm was proposed.The algorithm focused on the solution that could reduce the collision when a number of mMTCDs accessed to eNB in multi-cell network.The state transition process of the deep reinforcement learning algorithm was modeled as Markov decision process.Furthermore, the algorithm used a double deep Q network to fit the target state-action value function, and it employed an exploration strategy based on value-difference to adapt the change of the environment, which could take advantage of both current conditions and expected future needs.Moreover, each mMTCD updated the probability of exploration according to the difference between the current value function and the next value function estimated by the network, rather than using the same standard to select the best base eNB for the mMTCD.Simulation results show that the proposed algorithm can effectively improve the access success rate of the system.…”
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YOLOX-LS: Strong Gravitational Lenses Detection in the DECaLS with Deep Learning by Yangyang Liu, Liangping Tu, Jianxi Li, Jiawei Miao, Gengqi Lin, Chenying Zhao

“…We apply the YOLOX algorithm as the basic framework and improve it by selecting the optimal optimizer, activation function, attention mechanism, and loss function. …”
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Semen Evaluation from Dominant Males of the Viviparous Mexican Lizard <i>Sceloporus torquatus</i>, Wiegmann, 1828 (Sauria: Phrynosomatidae) by Martín Martínez-Torres, Uriel Ángel Sánchez-Rivera, Alfredo Medrano, Enrique Othón Hernández-Gónzalez, Rodrigo Dávila-Govantes, Yabín Josué Castro-Camacho, Norma Berenice Cruz-Cano

“…This series of tests provides a valuable tool for conducting a comprehensive analysis of the functional changes that may occur in sperm handling during assisted processes, and that may contribute—along with the proper selection of individuals—to reproductive success.…”
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Self‐Warning and Self‐Repairing Mechanisms in Functional Coatings: A Review by Yixin Chen, Qian Wang, Lifeng Hou, Hao Huang, Zhiqiang Gao, Yinghui Wei

“…However, there is only limited success in combining multiple functions of coatings, which poses considerable obstacles to further advancement of their application researches. …”
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Selective laser sintering of distinct drug and polymer layers as a novel manufacturing strategy for individually dosed tablets by Jonas Autenrieth, Daniel Hedbom, Maria Strømme, Thomas Kipping, Jonas Lindh, Julian Quodbach

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An energy storage planning method for improving the security of receiving-end system considering the selection of power conversion systems by Haibo Zhang, Kai Wei, Yukang Hu, Quan Hu

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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification by Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

“…Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable principles embraced by smart cities. …”
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Genetic diversity and natural selection of Plasmodium falciparum Pf41 vaccine candidate in clinical isolates from Senegal by Rokhaya Sané, Babacar Souleymane Sambe, Aissatou Diagne, Joseph Faye, Fatoumata Diene Sarr, Serigne Ousmane Mbacké Diaw, Ibrahima Sarr, Arona Sabène Diatta, Hélène Ataume Mawounge Diatta, Papa Mbacké Sembène, Inès Vigan-Womas, Aissatou Toure-Balde, Faith Osier, Makhtar Niang

“…With a central domain under balancing selection and two highly conserved 6-Cys domains under negative selection due to functional constraints, the Pf41 antigen appears as a good vaccine candidate. …”
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Synthesis of a Molecularly Imprinted Polymer on Silica-Gel Surfaces for the Selective Adsorption of Indole from Fuel Oil by Yang Cao, Wanzhen Xu, Xiangyang Wu, Yuan Li, Hui Li, Weihong Huang

“…We report a successful synthesis of a molecularly imprinted polymer (MIP) by surface imprinting technique. …”
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Abstract 203: Predicting Outcomes After Mechanical Thrombectomy: Early vs Delayed Neurological Improvement in the SELECT Database by K. Rose Duncan, Deep Pujara, Amrou Sarraj

“…Prior literature has shown that successful reperfusion is associated with better outcomes even in the absence of early improvement. …”
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Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELM by JI Wen-lu, ZHAO Xiao-long, ZHANG Ming, YANG Hong-lei, WENG Jia-ming

“…Combining batch and successive iterative，and constantly updating the training data and network structure，to achieve quickly fault line selection of single-phase grounding. …”
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CFD modeling for selective formation of propylene from methanol over synthesized Mn-substituted MFI metallosilicate catalyst by N. Hadi, A. Niaei, r. alizadeh

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Polytomous key for selecting plants according to decorative, phenological, phenotypic traits when landscaping cities in the south of Russia by N. A. Trusheva, O. N. Rezchikova

“…The base and operation of the polytomous key are like a computer program. The functioning of the program has been successfully tested. …”
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TCR-engaging scaffolds selectively expand antigen-specific T-cells with a favorable phenotype for adoptive cell therapy by Marco Donia, Özcan Met, Julie Westerlin Kjeldsen, Sine Reker Hadrup, Inge Marie Svane, Arianna Draghi, Anders Handrup Kverneland, Christina Heeke, Siri Amanda Tvingsholm, Marcus Svensson Frej, Vibeke Mindahl Rafa, Ulla Kring Hansen, Maria Ormhøj, Alexander Tyron, Agnete W P Jensen, Mohammad Kadivar, Amalie Kai Bentzen, Kamilla K Munk, Gitte N Aasbjerg, Jeppe S H Ternander, Tripti Tamhane, Christian Schmess, Samuel A. Funt, Søren Nyboe Jakobsen

“…By combining these in an Ag-scaffold product, we were able to expand tumor-specific T-cells from 60–70% of patients with melanoma, yielding a multitargeted T-cell product with up to 25% specific and phenotypically and functionally improved T cells.Conclusions Taken together, the Ag-scaffold represents a promising new technology for selective expansion of antigen-specific CD8+ T cells directly from blood, yielding a highly specific and functionally enhanced T-cell product for ACT.…”
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Metal and metal oxide nanomaterials for heavy metal remediation: novel approaches for selective, regenerative, and scalable water treatment by David B. Olawade, David B. Olawade, David B. Olawade, Ojima Z. Wada, Bamise I. Egbewole, Oluwaseun Fapohunda, Abimbola O. Ige, Sunday Oluwadamilola Usman, Olawale Ajisafe

“…The review identifies several promising nanomaterials, such as graphene oxide, carbon nanotubes, and metal-organic frameworks, which exhibit high surface areas, tunable surface chemistries, and excellent adsorption capacities. Surface functionalization with specific functional groups (e.g., carboxyl, amino, thiol) significantly enhances the selectivity for target heavy metal ions. …”
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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

“…Given the complexity of the model, a leader–follower methodology based on the vortex search algorithm (VSA) is employed to determine the conductor caliber and load phase configuration, in conjunction with the three-phase successive approximations power flow method to compute the objective function. …”
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