“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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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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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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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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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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Lightweight Multi-Scale Network for Segmentation of Riverbank Sand Mining Area in Satellite Images by Hongyang Zhang, Shuo Liu, Huamei Liu

“…To improve efficiency, we proposed a lightweight multi-scale network (LMS Net), which uses a lightweight multi-scale (LMS) block in both the encoder and decoder. The lightweight multi-scale block combines parallel computing and depthwise convolution to reduce the parameters of the network and enhance its multi-scale extraction ability. …”
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Weber’s Law as the emergent phenomenon of choices based on global inhibition by Marcin Penconek

“…This hypothesis suggested that the neurophysiological basis for Weber’s Law was linked to choice probabilities of a correct decision using linearly encoded stimulus intensities. Previous studies showed that the postulated mechanism led to the emergence of Weber’s Law. …”
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A framework for soft mechanism driven robots by Cem Aygül, Can Güven, Sara A. Frunzi, Brian J. Katz, Markus P. Nemitz

“…The integration of electronics and encoders provides reliable closed-loop control for the robot, enabling its operation across various terrains including sand, soil, and rock environments. …”
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Fast HEVC Intramode Decision Based on Hybrid Cost Ranking by Hao Liu, Yuexin Jie

“…The experimental results demonstrate that the proposed scheme averagely provides about 23.7% encoding speedup with just 0.82% BD-rate loss in comparison with default fast intramode decision in HM16.0. …”
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Stage-specific expression and divergent functions of two insulinase-like proteases associated with host infectivity in Cryptosporidium. by Yue Huang, Shifeng Pei, Xin Lv, Fuxian Yang, Xiaoqing Gong, Na Li, Yaqiong Guo, Yaoyu Feng, Lihua Xiao

“…Results from recent comparative genomic studies suggest that gains and losses of multicopy subtelomeric genes encoding insulinase-like proteases (INS-19 and INS-20 in Cryptosporidium parvum and their orthologs in closely related species) may potentially contribute to these differences.…”
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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

“…We introduce asymmetric convolution and dual-domain attention in the encoder, fully integrating effective information from different modalities, enhancing the extraction of features from critical regions, and constructing a dual-branch decoder that combines spatial features and global semantic information for both segmentation and grading. …”
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Utilizing FRET-based Biosensors to Measure Cellular Phosphate Levels in Mycorrhizal Roots of Brachypodium distachyon by Shiqi Zhang, Lucas Jurgensen, Maria Harrison

“…With the evolution of quantitative imaging with confocal microscopy, particularly the use of genetically encoded fluorescent sensors, live imaging of intracellular Pi concentrations is now achievable. …”
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An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection by Faleh Alshameri, Ran Xia

“…Traditionally, this problem is tackled by using resampling techniques or choosing models that approximate the distribution of the normal states. Variational AutoEncoder (VAE) has been studied in anomaly detections despite being more suitable in generative tasks. …”
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Nursing Analysis Based on Medical Imaging Technology before and after Coronary Angiography in Cardiovascular Medicine by Qin Li, Yangyang Yuan, Guangyu Song, Yonghua Liu

“…The algorithm first decomposes the preregistered source medical image by NSST, takes the subimages of different scales as training images, and optimizes the subdictionaries of different scales; then convolution and sparse the subimages on each scale encoding to obtain the sparse coefficients of different subimages; secondly, the combination of improved L1 norm and improved spatial frequency (novel sum-modified SF (NMSF)) is used for high-frequency subimage coefficients, and the fusion of low-frequency subimages improved the rule of combining the L1 norm and the regional energy; finally, the final fused image is obtained by inverse NSST of the fused low-frequency subband and high-frequency subband. …”
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