Joint sparse model based data reconstruction algorithm for wireless sensor network by Yi-yin LIU, Guo-rui LI, Li TIAN

“…The data of wireless sensor network has strong joint sparse characteristics,by utilizing compressed sensing theory,compressed data by joint encoding,and then reconstructed the data by joint decoding,the sensed data can be gathered with low computational cost.A synchronous subspace pursuit algorithm based on joint sparse model and com-pressed sensing theory was proposed.By utilizing the sparsity of the sensed data,it selected the correct joint subspace and reconstruct the original signal group accurately with fewer observations in a backtracking iterative manner.Com-pared with SCoSaMP algorithm and SP algorithm,the proposed algorithm presents better data reconstruction perform-ance under the conditions of different sparsity and sampling rate.…”
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The Longevity of Hippocampus-Dependent Memory Is Orchestrated by the Locus Coeruleus-Noradrenergic System by Niels Hansen

“…The locus coeruleus is connected to the dorsal hippocampus via strong fiber projections. It becomes activated after arousal and novelty, whereupon noradrenaline is released in the hippocampus. …”
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Task scheduling strategy for cloud-fog computing system of IoV based on improved quantum genetics and QoS awareness method by ZHANG Fuqi, JIANG Huilin, LIU Fu, HOU Tao, LIU Yujia, GUAN Yueqi, MU Xingtong

“…Simulation results show that the proposed strategy is up to 69.0% reduction in makespan and strong performance across multiple metrics, supporting practical applicability.…”
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AbstractTrace: The Use of Execution Traces to Cluster, Classify, Prioritize, and Optimize a Bloated Test Suite by Ziad A. Al-Sharif, Clinton L. Jeffery

“…This paper aims to optimize a bloated test suite by employing an execution trace that encodes runtime events into a sequence of characters forming a string. …”
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In vitro protein expression profile of cultivated muscle cells from Labeo rohita by B. S. Yashwanth, Nevil Pinto, A. Sathiyanarayanan, Kiran D. Rasal, S. Sanjeeva, Michael Saad, Reza Ovissipour, David L. Kaplan, Mukunda Goswami

“…Protein–protein interactions of significantly expressed proteins with respective KEGG pathways were represented using STRING. The metascape depicts the network of significantly enriched proteins with functional annotation of protein-encoding genes. …”
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Heparin-Binding Protein: A Novel Biomarker Linking Four Different Cardiovascular Diseases by Yufeng Cai, Xueyan Zhang, Jie Shen, Boyue Jiang, Dehua Hu, Mingyi Zhao

“…Then, we constructed an HBP gene interaction network map using STRING. Clustering coefficients were calculated using Cytoscape, and MCODE was used for subnet analysis. …”
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Pleiotropic effects of mutant huntingtin on retinopathy in two mouse models of Huntington's disease by Hui Xu, Anakha Ajayan, Ralf Langen, Jeannie Chen

“…Huntington's disease (HD) is caused by the expansion of a CAG repeat, encoding a string of glutamines (polyQ) in the first exon of the huntingtin gene (HTTex1). …”
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Effects of Oral Administration of the Probiotic Lactobacillus rhamnosus GG on the Proteomic Profiles of Cerebrospinal Fluid and Immunoregulatory Signaling in the Hippocampus of Adu... by Kelsey M. Loupy, Lamya'a M. Dawud, Cristian A. Zambrano, Thomas Lee, Jared D. Heinze, Ahmed I. Elsayed, James E. Hassell Jr., Heather M. D'Angelo, Matthew G. Frank, Steven F. Maier, Lisa A. Brenner, Christopher A. Lowry

“…Gene enrichment analysis (using DAVID, v. 6.8) and protein-protein interactions (using STRING, v. 11) were used to explore physiological network changes in CSF. …”
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Exploring the proteolytic activity of Lactiplantibacillus plantarum AHQ-14 to reduce the allergenicity of milk protein and its probiotic potential based on peptidomics and genomics by Ruonan Liu, Ying Song, Zichen Li, Jiaxin Zhang, Guangqing Mu, Shujuan Jiang

“…Genomics results revealed L. plantarum AHQ-14 contained a great deal of genes encoding a phosphoenolpyruvate-dependent glucose phosphate transport system, a complete Opp oligopeptide transport system, and abundant peptidase-related genes, and indicated that L. plantarum AHQ-14 had a strong ability to metabolize and transport carbohydrates and AA, as well as strong hydrolyze proteins. …”
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Molecular Characteristics and Phenotypical Analysis of Carbapenem-Resistant K. Pneumoniae in the Lüliang Region, Shanxi Province by Wang H, Jia Z, Li X, Hao Y, Zhang J, Zhao X, Li H, Jin S

“…Among these genes, fimH, rmpA2, and iucA were associated with biofilm formation, while markD and fimH were associated with a highly mucoid phenotype, and the highly mucoid phenotype was strongly correlated with the biofilm formation ability.Conclusion: This study revealed that the CRKP strains isolated in the Lüliang region of Shanxi Province were strongly resistant and that this resistance was related to virulence characteristics. …”
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Storage of Verbal Associations Is Sufficient to Activate the Left Medial Temporal Lobe by Andrew R. Mayes, Patricia A. Gooding, Nicola M. Hunkin, Julia A. Nunn, Lloyd J. Gregory, Michael J. Brammer, Edward T. Bullmore, Vincent Giampietro, Rob Van Eijk, Amanda K. Nicholas, Steve C. R. Williams

“…First, associative encoding activated left posterior MTL more than single word encoding even though novelty detection was matched, indicating not only that associative encoding activates the MTL particularly strongly, but also that activation does not require novelty detection. …”
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Resultative secondary predicates in cooking recipes: an empirical study of Germanic and Romance languages by Métairy Justine

“…(ii) Prepositional phrases (PPs) can be headed by a whole range of prepositions (or ‘result markers’) which exhibit important differences in terms of semantic properties, token frequency, and distribution across verb classes: ‘weak’ result markers, which mainly consist of locative prepositions (viz. in ‘in’ in Dutch, in in English and en ‘in’ and a ‘to’ in Spanish) occur almost exclusively in RCs that contain achievements, which are argued to be less dynamic, depictive-like instances of the construction. By contrast, ‘strong’ result markers (e.g., tot ‘to/until’ in Dutch, to, into, and until in English, en ‘in’ in French and a punto de ‘to point of’ in Spanish) combine with various aspectual classes, including activities, and may therefore give rise to ‘strong’ (i.e., aspect-shifting) RCs. …”
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PHENOTYPIC AND MOLECULAR DETECTION OF BIOFILM FORMATION IN METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS ISOLATED FROM DIFFERENT CLINICAL SOURCE IN ERBIL CITY by Pishtiwan Ahmad

“…All isolates (MRSA and MSSA) were able to produce biofilm with levels ranging from strong (31.25 %), (16.6%) to moderate (53.12%), (50%) to weak (15.6 %), (33.3% %) respectively. …”
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Molecular characterization of efflux pumps in beta-lactam resistant pseudomonas aeruginosa by Elmira Shah Cheraghi, Mozhgan Ghiasian

“…Conclusion: Our findings reveal a strong association between the presence of the MexAB-OprM efflux pump and extended-spectrum beta-lactamase production in P. aeruginosa. …”
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PCVR: a pre-trained contextualized visual representation for DNA sequence classification by Jiarui Zhou, Hui Wu, Kang Du, Wengang Zhou, Cong-Zhao Zhou, Houqiang Li

“…Machine learning methods learn implicit patterns from data with encoding techniques such as k-mer counting and ordinal encoding, which fail to handle long sequences or sacrifice structural and sequential information. …”
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ParaAntiProt provides paratope prediction using antibody and protein language models by Mahmood Kalemati, Alireza Noroozi, Aref Shahbakhsh, Somayyeh Koohi

“…In addition to yielding accurate antibody paratope predictions, our method exhibits strong performance in predicting nanobody paratope, achieving a ROC AUC of 0.912 and a PR AUC of 0.665 on the nanobody dataset. …”
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Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality by Mohammad Zangane, Mohammad Shahbazi, Seyed Ali Niknam

“…ShuffleNet demonstrated a strong combination of accuracy (96–98%) and low computational cost. …”
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A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction by Wu Yan, Fu Yu, Li Tan, Li Mengshan, Xie Xiaojun, Zhou Weihong, Sheng Sheng, Wang Jun, Wu Fu-an

“…Conclusions This model demonstrated the superior predictive performance and strong generalization capabilities compared to other models. …”
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Pseudomonas aeruginosa clinical isolates in Egypt: phenotypic, genotypic, and antibiofilm assessment of Pluronic F-127 by Mai Hamed Salem, Ahmed F. Azmy, Tarek Dishisha, Nesrein Dessouky

“…Many isolates exhibited moderate to strong biofilm forming ability, which showed a high resistance pattern. …”
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Panton-Valentine leukocidin and biofilm production of Staphylococcus aureus isolated from respiratory tract by Nilufer Cakir Aktas, Zayre Erturan, Onur Karatuna, Aysegul Karahasan Yagci

“…Biofilm production was detected in 96.8% of CF isolates in which 32.3% exhibited strong positive phenotype and in 47.4% of non-CF isolates in which strong positive phenotype was not observed (p < 0.05). …”
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