MSSA: multi-stage semantic-aware neural network for binary code similarity detection by Bangrui Wan, Jianjun Zhou, Ying Wang, Feng Chen, Ying Qian

“…Experimental results show that MSSA outperforms Gemini, Asm2Vec, SAFE, and jTrans in classification performance and ranks second only to the Transformer-based jTrans in retrieval performance.…”
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Organizational Adaptability Influenced by Practice Strategy, Environmental Dynamism, and Absorptive Capacity by Yunhao Gong, Yun Le, Xinyue Zhang, Xiaoyan Chen, Hui Zeng

“…Employing an agent-based simulation model (ASM) and a multiple regression model (MRM), we examine the impact of the intensity of exploitative and exploratory practice on organizational adaptability, as well as the moderating effect of environmental dynamism and organizational absorptive capacity. …”
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mSphere of Influence: an Inupiat Journey in Science by Kathryn C. A. Milligan-McClellan

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Correction for Kommedal et al., “Microbiological diagnosis of pleural infections: a comparative evaluation of a novel syndromic real-time PCR panel” by Øyvind Kommedal, Tomas Mikal Eagan, Øystein Fløtten, Truls Michael Leegaard, William Siljan, Hilde Fardal, Bjørnar Bø, Fredrik Grøvan, Kjersti Wik Larssen, Arne Kildahl-Andersen, Reidar Hjetland, Rune Tilseth, Sølvi Kristine Øyen Hareide, Marit Tellevik, Ruben Dyrhovden

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Memory-like states created by the first ethanol experience are encoded into the Drosophila mushroom body learning and memory circuitry in an ethanol-specific manner. by Caleb Larnerd, Maria Nolazco, Ashley Valdez, Vanessa Sanchez, Fred W Wolf

“…Ethanol memory-like states appear genetically and behaviorally paralleled to the canonical learning and memory traces anesthesia-sensitive, anesthesia-resistant, and long-term memory ASM, ARM, and LTM. It is unknown if these ethanol memory-like states are also encoded by the canonical learning and memory circuitry that is centered on the mushroom bodies. …”
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A novel anti-epileptogenesis strategy of temporal lobe epilepsy based on nitric oxide donor by Xian-Hui Zhu, Ya-Ping Zhou, Qiao Zhang, Ming-Yi Zhu, Xiao-Wei Song, Jun Li, Jiang Chen, Yun Shi, Kang-Jian Sun, Yong-Jie Zhang, Jing Zhang, Tian Xia, Bao-Sheng Huang, Fan Meng, Qi-Gang Zhou

“…Therefore, we concluded that NO donor therapy may be a novel anti-epileptogenesis strategy, different from existing antiseizure medications (ASMs), for curing TLE.…”
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Bias Correction in Monthly Records of Satellite Soil Moisture Using Nonuniform CDFs by Shan Wang, Huiling Shan, Chi Zhang, Yuexing Wang, Chunxiang Shi

“…Meanwhile, the matching results are always closely related to the temporal and spatial availability of soil moisture observed by automatic soil moisture station (ASM). We also applied the new nonuniformly spaced sampling method to a shorter time series. …”
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Complexities in species identification for Serratia marcescens complex for the modern microbiology laboratory by Susan A. J. Harch, Frances Jenkins, Rima Farhat, Sebastiaan J. van Hal

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Characteristics of Colorectal Cancer that Produce Positive Immunochemical Occult Blood Test Results on Stool Obtained by Digital Rectal Examination by Hidenori Nakama, Bing Zhang, ASM Abdul Fattah, Noboru Kamijo, Xing Zhang

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Reply to “Vaccination caused underestimation of cumulative incidence of SARS-CoV-2 infection” by Jefferson M. Jones, Melissa M. Coughlin, Eduard Grebe, Michael P. Busch, Kristie E. N. Clarke

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Detecting and Mapping Peatlands in the Tibetan Plateau Region Using the Random Forest Algorithm and Sentinel Imagery by Zihao Pan, Hengxing Xiang, Xinying Shi, Ming Wang, Kaishan Song, Dehua Mao, Chunlin Huang

“…B11, B12, NDWI, RVI, NDVI, and slope are the most significant features for peatland mapping, while roughness, correlation, entropy, and ASM have relatively slight significance. The methodology and peatland map developed in this work will enhance the conservation and management of peatlands on the TP while informing policy decisions and supporting sustainable development assessments.…”
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Genome Sequencing of Hericium coralloides by a Combination of PacBio RS II and Next-Generation Sequencing Platforms by Caixia Zhang, Lijun Xu, Jian Li, Jiansong Chen, Manjun Yang

“…We are the first to sequence the entire H. coralloides genome (NCBI; Assembly: ASM367540v1), which will serve as a reference for studying the evolutionary diversification of edible and medicinal mushrooms and facilitate the application of bioactivity in H. coralloides.…”
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Four-path unsupervised learning-based image defogging network by Wei LIU, Cheng CHEN, Rui JIANG, Tao LU

“…To solve the problems of supervised network and unsupervised network in the field of single image defogging, a four-path unsupervised learning-based image defogging network based on cycle generative adversarial network (CycleGAN) was proposed, which mainly included three sub-networks: defogging network, synthetic fog network and attention feature fusion network.The three sub-networks were sequentially combined to construct four learning paths, which were the defogging path, the color-texture recovery path for defogged result, the synthetic fog path, and the color-texture recovery path for synthetic fog result.Specifically, in the synthetic fog network, to better constrain the defogging network to generate higher quality fogfree images, the atmospheric scattering model (ASM)was introduced to enhance the mapping transformation of the network from the foggy image domain to the fogfree image domain.Furthermore, to further improve the image generation quality of the defogging network and the synthetic fog network, an attention feature fusion network was proposed.The proposed network was based on several fog-derived images, which adopts a multi-channel mapping structure and an attention mechanism to enhance the recovery of color and texture details.Extensive experiments on both synthetic and real-world datasets show that the proposed method can better restore the color and texture details information of foggy images in various scenes.…”
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Drug response is related to NR3C1 and FAAH polymorphism in Chinese pediatric epilepsy patients by Hongli Wang, Chu Li, Qian Li, Ning Li, Huiling Qin

“…Patients were divided into the good response group and the poor response group after anti-seizure medications (ASMs) treatment. According to the results of the liver function test (LFT), patients were divided into the no LFT disturbance group and the LFT disturbance group. …”
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Experimental Study of Water and Sediment Separation under Hydrocyclone and Flocculation by FU Xuhui, SONG Yuanyuan, HU Jiang, TANG Dingdan, WANG Shuo, CAO Changlai

“…In order to study the effect of the combined technology of hydrocyclone and flocculation on the sediment content of water bodies,this paper measures the surface velocity and turbidity by a laboratory self-circulating physical model,ADV and ASM-IV turbidimeter,and analyzes the flow pattern and sediment distribution in the hydrocyclone pool.The results show that:The internal flow field of the hydrocyclone pool is a typical three-dimensional axisymmetric flow field;the turbidity in the hydrocyclone pool gradually decreases from the side wall to the center in the radial direction,and the turbidity gradually increases in the axial direction.Under the same sediment conditions,when the flocculant concentration was 5 mg/L,the effect of final sediment contents in purified water (water purified by the outer ring twice) is the best;the smaller the inlet flow of the hydrocyclone pool,the smaller the final sediment content in purified water.Compared with flocculant,inlet flow has a greater impact on the final sediment content in purified water,so it is a key factor in reducing the sediment content. …”
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Improving the binding affinity of plastic degrading cutinase with polyethylene terephthalate (PET) and polyurethane (PU); an in-silico study by Deves Sabari V L, Gokulnath Rajmohan, Roshine S B, Srivaishnavi S, Kishore Nagasubramanian, Senthil Kumar G, Ponnusami Venkatachalam

“…In-silico Alanine Scanning Mutagenesis (ASM) and Site Saturation Mutagenesis (SSM) were performed as screening tests to find variants of cutinase with better docking scores for both ligands, specifically S136D, N28M, and S136Q. …”
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Multi-feature fusion malware detection method based on attention and gating mechanisms by Zhongyuan CHEN, Jianbiao ZHANG

“…With the rapid development of network technology, the number and variety of malware have been increasing, posing a significant challenge in the field of network security.However, existing single-feature malware detection methods have proven inadequate in representing sample information effectively.Moreover, multi-feature detection approaches also face limitations in feature fusion, resulting in an inability to learn and comprehend the complex relationships within and between features.These limitations ultimately lead to subpar detection results.To address these issues, a malware detection method called MFAGM was proposed, which focused on multimodal feature fusion.By processing the .asm and .bytes files of the dataset, three key features belonging to two types (opcode statistics sequences, API sequences, and grey-scale image features) were successfully extracted.This comprehensive characterization of sample information from multiple perspectives aimed to improve detection accuracy.In order to enhance the fusion of these multimodal features, a feature fusion module called SA-JGmu was designed.This module utilized the self-attention mechanism to capture internal dependencies between features.It also leveraged the gating mechanism to enhance interactivity among different features.Additionally, weight-jumping links were introduced to further optimize the representational capabilities of the model.Experimental results on the Microsoft malware classification challenge dataset demonstrate that MFAGM achieves higher accuracy and F1 scores compared to other methods in the task of malware detection.…”
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mSphere of Influence: How the single cell contributes to the collective by Gina R. Lewin

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Effect of perampanel in reducing depression in patients with focal epilepsy by Min Ming, Long Chen, Jian Huang, Ying Huang, Jiali Yin

“…Multiple Regression Analysis was found that annual family income, etiology, the frequency of attacks in recent years, types of ASMs and the age were the influence factors of pirampanel in reducing depression (P＜0.05). …”
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Underappreciated layers of antibody-mediated immune synapse architecture and dynamics by Benjamin S. Goldberg, Margaret E. Ackerman

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