Degeneracy-breaking and long-lived multimode microwave electromechanical systems enabled by cubic silicon-carbide membrane crystals by Yulong Liu, Huanying Sun, Qichun Liu, Haihua Wu, Mika A. Sillanpää, Tiefu Li

“…In this work, the studied 3C-SiC membrane crystal with their significant properties of multiple acoustic modes and high-quality factors, provide unique opportunities for the encoding, storage, and transmission of quantum information via bosonic phonon channels.…”
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Analysis of Klebsiella Pneumonia and Resistance Genes Coding and Carbapenemase Production in National Referral Hospital Wastewater by Glory Gelarich Simanjuntak, Anis Karuniawati, Yulia Rosa Saharman, Windi Muziasari

“…This study aimed to determine Klebsiella pneumonia and resistance genes encoding ESBL and carbapenemase in hospital wastewater to obtain primary Antimicrobial Resistance (AMR) data in the environment, which was first conducted in Indonesia. …”
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“It’s about finding and knowing myself”: Why Johannesburg-based South African Millennials consume self-help media by Simphiwe Emmanuel Rens

“…As such, these Johannesburg-based South African millennials consume self-help media texts, and the moral grammar of norms, beliefs, and values about successful living encoded therein, as tools for self-management with the goal of “mastering” the self – in relation to others – to understand how best to behave to avoid the “mistakes” that impede the smooth-sailing of what these participants describe as their life journeys. …”
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Ingested house dust mite favors sensitization to egg white in mice independently of its proteinase activity by Sara Benedé, Leticia Pérez-Rodríguez, David Menchén-Martínez, Elena Molina, Rosina López-Fandiño

“…Whereas HDM increased intestinal expression of genes encoding tight junction proteins and Th2-inducing alarmins to a greater extent than iHDM, active proteinases were not required for its adjuvant activity, as iHDM preferentially promoted Th2 responses in intestinal lymphoid tissues.ConclusionsThese findings suggest that ingestion of environmental dust may contribute to food allergy development and highlight the complex and context-dependent nature of the adjuvant activity of HDM.…”
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Modelling Peroxisomal Disorders in Zebrafish by Chenxing S. Jiang, Michael Schrader

“…Their biogenesis relies on several peroxins (encoded by <i>PEX</i> genes), which mediate matrix protein import, membrane assembly, and peroxisome multiplication. …”
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A No-Reference Modular Video Quality Prediction Model for H.265/HEVC and VP9 Codecs on a Mobile Device by Debajyoti Pal, Vajirasak Vanijja

“…We propose a modular no-reference video quality prediction model for videos that are encoded with H.265/HEVC and VP9 codecs and viewed on mobile devices. …”
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Leveraging feature extraction and risk-based clustering for advanced fault diagnosis in equipment. by Hyeonbin Ji, Ingeun Hwang, Junghwon Kim, Suan Lee, Wookey Lee

“…Our findings reveal that the combination of Word2Vec for embedding and Contractive Auto Encoder for dimensionality reduction and feature extraction yields high-performance results. …”
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Upstreamness and downstreamness in input–output analysis from local and aggregate information by Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli, Pierpaolo Vivo

“…However, this task is often non-trivial due to the lack of complete and accurate information on the flows of money and goods between sectors and countries, which are encoded in input–output (I–O) tables. In this work, we show that an accurate estimation of the role played by sectors and countries in supply chain networks can be achieved without full knowledge of the I–O tables, but only relying on local and aggregate information, e.g., the total intermediate demand per sector. …”
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Optimizing multi label student performance prediction with GNN-TINet: A contextual multidimensional deep learning framework. by Xiaoyi Zhang, Yakang Zhang, Angelina Lilac Chen, Manning Yu, Lihao Zhang

“…Advanced preprocessing approaches, such as Contextual Frequency Encoding (CFI) and Contextual Adaptive Imputation (CAI), were used on a dataset of 97,000 occurrences. …”
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Hardware data race detection algorithm based on sliding windows by Su-xia ZHU, De-yun CHEN, Zhen-zhou JI, Guang-lu SUN

“…Data race is a major factor which causes multi-core programs to produce concurrent bugs.To address the high hardware cost in happens-before detection proposals,a light-weight hardware data race detection approach based on sliding window technology was proposed.It used sliding windows to save recent memory instructions in thread execution and dynamically detected data races with small race distance which more easily lead to concurrent bugs.Considering the race distance,parallel thread segments were subdivided into concurrent race regions with lock and concurrent race regions without lock.A pair of alternate rewritable sliding windows was used to store the memory instructions in concurrent race region without lock,and a sliding window with variable size was used to store the memory instructions in concurrent race region with lock.When there was a conflict between a remote sharing access and memory accesses in sliding windows,a data race was detected.In the hardware implementation,the addresses of the data in sliding windows were automatically encoded into three hardware signatures with small size.Data races can be detected quickly without modifying the L1 cache and cache coherence protocol messages.This approach supplies efficient guidance to help users to diagnose concurrency bugs occurred in the development and production run of multi-core programs,achieving smaller hardware and bandwidth overhead.…”
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Genetic Study In a Pakistani Family Reveals Autosomal Recessive Type of Artemis Deficiency by Saddaf Ayub, Abeerah Zainub, Nida Shafi, Zara Khalid Khan, Lubna Siddique, Syed Irfan Raza

“…Genetic analysis revealed two exon deletions in the Artemis encoding gene (DCLRE1C, OMIM 602450). Conclusion: This study reveals a novel mega deletion mutation in the gene DCLRE1C, (two exon deletions) confirmed through PCR-based electrophoresis. …”
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Motor synergy and energy efficiency emerge in whole-body locomotion learning by Guanda Li, Mitsuhiro Hayashibe

“…Although a synergy constraint was never encoded into the reward function, the synergy emerged during the learning of walking and running tasks. …”
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Optimizing Indonesian-Sundanese Bilingual Translation with Adam-Based Neural Machine Translation by Anita Qotrun Nada, Aji Prasetya Wibawa, Dhea Fanny Putri Syarifa, Erliana Fajarwati, Fadia Irsania Putri

“…The model used in this study is the Long Short-Term Memory (LSTM) type, which carries out an encoder-decoder structure model learned with Bible data. …”
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Case report: Discovery of novel CTNNB1 mutations and comparison of clinical characteristics in two patients with NEDSDV by Eojin Lee, Ja Young Choi, Shin-Seung Yang

“…CTNNB1, which encodes β-catenin, plays an essential role in the Wnt signaling pathway and regulates cellular homeostasis. …”
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Evolving techniques in sentiment analysis: a comprehensive review by Mahander Kumar, Lal Khan, Hsien-Tsung Chang

“…It explores a spectrum of methodologies, from classical word embedding techniques and machine learning algorithms to recent contextual embedding and advanced transformer models like Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), and T5. …”
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A Specific Algorithm Based on Motion Direction Prediction by Zhesen Chu, Min Li

“…To address the problem of sample diversity and lack of quantity in a multitarget tracking environment, a generative model based on the conditional variational self-encoder conditional generation of adversarial networks is proposed, and the performance of the generative model is verified using pedestrian reidentification and other datasets, and the experimental results show that the method can take advantage of the advantages of both models to improve the quality of the generated results.…”
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Fast Mode Decision for 3D-HEVC Depth Intracoding by Qiuwen Zhang, Nana Li, Qinggang Wu

“…This technique achieves the highest possible coding efficiency, but it results in extremely large encoding time which obstructs the 3D-HEVC from practical application. …”
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The Improvement of Automated Crack Segmentation on Concrete Pavement with Graph Network by Jiang Chen, Ye Yuan, Hong Lang, Shuo Ding, Jian John Lu

“…The graph feature map of the graph branch output is fused with the image feature map of the encoder and then enters the decoder to recover the image resolution to obtain the crack segmentation result. …”
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Introducing the Second-Order Features Adjoint Sensitivity Analysis Methodology for Fredholm-Type Neural Integral Equations by Dan Gabriel Cacuci

“…The 2nd-FASAM-NIE-Fredholm methodology enables the computation, with unparalleled efficiency, of the second-order sensitivities of decoder responses with respect to the optimized/trained weights involved in the NIE’s decoder, hidden layers, and encoder, requiring only as many “large-scale” computations as there are first-order sensitivities with respect to the feature functions. …”
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Pointer meters recognition method in the wild based on innovative deep learning techniques by Jiajun Feng, Haibo Luo, Rui Ming

“…We developed a neural network model that can detect gauges and one or more of their pointers on low-quality images. We use an encoder network, jump connections, and a modified Convolutional Block Attention Module (CBAM) to detect gauge panels and pointer keypoints in images. …”
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