A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation by Ronald Kfouri, Harag Margossian

“…Results demonstrate that our method efficiently solves the DSSE problem—which cannot be solved using conventional methods—and detects and mitigates bad data, further enhancing the reliability of the state estimation results.…”
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A simple validation and screening method for CRISPR/Cas9-mediated gene editing in mouse embryos to facilitate genetically modified mice production. by Dawid Winiarczyk, Hossein Khodadadi, Paweł Leszczyński, Hiroaki Taniguchi

“…We propose herein an evaluation method (cleavage assay - CA) for CRISPR/Cas9-mediated gene editing in preimplantation mouse embryos that allows us to detect mutants efficiently and later on initiate in vivo production without the extensive number of samples needing to be sent for Sanger sequencing and animal usage. …”
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Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining by Yuxin You, Zhen Liu, Xiangchao Wen, Yongtao Zhang, Wei Ai

“…Within this framework, we reveal the capabilities of LLMs in enhancing graph feature extraction as well as improving the effectiveness of downstream tasks such as node classification, link prediction, and community detection. Although LLMs have demonstrated their great potential in handling graph-structured data, their high computational requirements and complexity remain challenges. …”
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A Novel Authentication Management for the Data Security of Smart Grid by Imtiaz Parvez, Maryamossadat Aghili, Hugo Riggs, Aditya Sundararajan, Arif I. Sarwat, Anurag K. Srivastava

“…The first layer implements an efficient novel encryption method for secure data exchange between meters and control center with the help of two partially trusted simple servers (constitutes the TTP). …”
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Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…As a result, digital pathology could potentially lead to safer more efficient working. In order to use digital pathology in practice, we need to know pathologists produce equivalent reports as compared to light microscopy. …”
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Early diagnosis of streptococcus cristatus in blood culture-negative infective endocarditis by capture-based metagenomic next-generation sequencing: a case report by Dong Wang, Hui Wang, Dan Zhang, Xinsheng Yan

“…BackgroundInfective endocarditis (IE) is a life-threatening infectious cardiac condition characterized by therapeutic complexity and high mortality rates, for which precise pathogen identification is critical to guide accurate treatment. …”
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Ruminococcus flavefaciens 007C cellulosomes and cellulase consortium by Maša VODOVNIK

“…Ruminococcus flavefaciens is among the most important cellulolytic bacterial species in rumen and gastrointestinal tract of monogastric herbivorous animals. Its efficiency in degradation of (hemi)cellulosic substrates is associated with the production of remarkably intricate extracellular multienzyme complexes, named cellulosomes. …”
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High-throughput analysis of calcium signalling kinetics in astrocytes stimulated with different neurotransmitters. by Laura R James, Simon Andrews, Simon Walker, Paula R S de Sousa, Aaron Ray, Noah A Russell, Tomas C Bellamy

“…There is increasing evidence that astrocytes are able to discriminate between different Ca(2+)-linked stimuli, as the efficiency of some Ca(2+) dependent processes--notably release of gliotransmitters--depends on the stimulus that initiates the Ca(2+) signal. …”
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Analysis of application of entropy methods of vibration diagnostic signal processing to assess technical condition of pipelines by S. O. Gaponenko, A. E. Kondratiev, M. V. Kalinina, A. A. Derbeneva

“…The presence of a defect in a pipeline is determined by analysis of the amplitude of a diagnostic signal. Higher efficiency in detecting defects was shown by probability-statistical methods of signal analysis, which are based on chaos theory. …”
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Localization of Sensor Nodes in 3D Wireless Sensor Networks with a Single Anchor by an Improved Adaptive Artificial Bee Colony (iaABC) Algorithm by Dursun Ekmekci, Hüseyin Altınkaya

“…Furthermore, the success of locating moving nodes in a 3D space is closely linked to the overall efficiency of the network. This study proposes a solution that can detect the locations of target nodes at various levels using a single anchor node. …”
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Kinetics of the reactions of OH with CO, NO, and NO₂ and of HO₂ with NO₂ in air at 1 atm pressure, room temperature, and tropospheric water... by M. Rolletter, A. Hofzumahaus, A. Novelli, A. Wahner, H. Fuchs, H. Fuchs

“…<p>The termolecular reactions of hydroxyl radicals (<span class="inline-formula">OH</span>) with carbon monoxide (<span class="inline-formula">CO</span>), nitric oxide (<span class="inline-formula">NO</span>), and nitrogen dioxides (<span class="inline-formula">NO₂</span>) and the termolecular reaction of hydroperoxy radicals (<span class="inline-formula">HO₂</span>) with <span class="inline-formula">NO₂</span> greatly impact the atmospheric oxidation efficiency. Few studies have directly measured the pressure-dependent rate coefficients in air at 1 <span class="inline-formula">atm</span> pressure and water vapour as third-body collision partners. …”
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Load identification method based on one class classification combined with fuzzy broad learning by Wang Yi, Wang Xiaoyang, Li Songnong, Chen Tao, Hou Xingzhe, Fu Xiuyuan

“…Non-Intrusive Load Monitoring(NILM) is a key technology for smart electricity consumption, which helps strengthen load-side management and improve electricity efficiency. With the rapid increase of power load types and quantities, when unknown electrical appliances outside the training sample are connected to the model, it will cause the model to misjudge and reduce the accuracy of load identification. …”
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Classification of pulmonary diseases from chest radiographs using deep transfer learning. by Muneeba Shamas, Huma Tauseef, Ashfaq Ahmad, Ali Raza, Yazeed Yasin Ghadi, Orken Mamyrbayev, Kymbat Momynzhanova, Tahani Jaser Alahmadi

“…It has been observed that the promising results of our proposed model will be valuable tool for practitioners in decision-making and efficiently diagnosing various pulmonary diseases.…”
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Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…CO specifically integrates the genetic algorithm (GA) to efficiently search for the optimal subset of features that maximize the performance of a convolutional neural network (CNN) based on extracted features. …”
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Molten Pool Image Segmentation Based on Adaptive Multi-Scale Attention Mechanism by Yuefeng Chen, Weihua Liu, Qing Yang, Huabin Chen, Qi Jiang

“…The model performs well in computational efficiency, data processing and complexity balance, making it suitable for industrial field deployment.…”
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ANTEGRADE LASER PAPILLOTOMY UNDER THE CONTROL OF VIDEO CHOLEDOCHOSCOPY IN PATIENTS WITH STENOSIS OF THE LARGE DUODENAL PAPILLA COMPLICATED WITH MECHANICAL JAUNDICE by N. V. Levchenko, V. V. Khryachkov, R. R. Shavaliev, D. P. Kislitsin

“…The received results show high efficiency of the applied technique, absence of complications and lethal outcomes. …”
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Parallel tempered Bayesian inference for characterizing non-ideal semiconductors: Carrier trapping in cadmium telluride thin films by Calvin Fai, Anthony J.C. Ladd, Charles J. Hages, Gregory A. Manoukian, Jason B. Baxter

“…A “parallel tempering” scheme is introduced, which efficiently and reliably locates the global maximum in the complex multimodal distributions that are characteristic of cadmium telluride (CdTe) films. …”
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Discrimination of the Skin Cells from Cellular-Resolution Optical Coherence Tomography by Deep Learning by Jui-Yun Yi, Sheng-Lung Huang, Shiun Li, Yu-You Yen, Chun-Yeh Chen

“…Deep learning algorithms (particularly convolutional neural networks, CNN) that extract features from images efficiently process the OCT’s complex images. We used four models to classify the images of five types of 2D-OCT skin cells. …”
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Chromosome-Level Genome Assembly and Comparative Transcriptome Analyses Identified Energy Conservation as a Key Strategy for Anadromous Adaptation of the Hilsa Shad, <i>Tenualosa i... by Kishor Kumar Sarker, Liang Lu, Roland Nathan Mandal, Md Rashedur Rahman, Anirban Sarker, Mohammad Abdul Baki, Chenhong Li

“…We observed rapid expansion of gene families to facilitate efficient signaling and osmotic balance, as well as a substantial selection pressure in metabolism regulatory genes, potentially relevant to a highly anadromous fish. …”
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Phenotypic Profiling of Selected Cellulolytic Strains to Develop a Crop Residue-Decomposing Bacterial Consortium by Arman Shamshitov, Egidija Satkevičiūtė, Francesca Decorosi, Carlo Viti, Skaidrė Supronienė

“…In this regard, microbial inoculation with efficient strains offers a viable and eco-friendly solution to accelerating the decomposition process of crop residues. …”
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