Generation of a genetically double-attenuated Plasmodium berghei parasite that fully arrests growth during late liver stage development. by Melanie Schmid, Raphael Beyeler, Reto Caldelari, Ruth Rehmann, Volker Heussler, Magali Roques

“…Through a comprehensive phenotyping screen, we identified the hscb gene, encoding a putative iron-sulfur protein assembly chaperone, as crucial for liver stage development, making it a suitable candidate gene for GAP generation. …”
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Identification of a novel papillomavirus in oral swabs from giant pandas (Ailuropoda melanoleuca) by Yi Zhao, Min Zhao, Wen Zhang

“…The complete circular genome of AmPV5 is 7,935 bp in length, with a GC content of 39.1%. It encodes five early genes (E1, E2, E4, E6, and E7), two late genes (L1 and L2), and features conserved zinc-binding domains (CXXC- (X)28/29-CXXC) in E6 and E7 genes. …”
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Wireless key generation system for internet of vehicles based on deep learning by Han WANG, Liquan CHEN, Zhongmin WANG, Tianyu LU

“…In recent years, the widespread application of internet of vehicles technology has garnered attention due to its complex nature and point-to-point communication characteristics.Critical and sensitive vehicle information is transmitted between different devices in internet of vehicles, necessitating the establishment of secure and reliable lightweight keys for encryption and decryption purposes in order to ensure communication security.Traditional key generation schemes have limitations in terms of flexibility and expandability within the vehicle network.A popular alternative is the physical layer key generation technology based on wireless channels, which offers lightweight characteristics and a theoretical basis of security in information theory.However, in the context of internet of vehicles, the movement speed of devices impacts the autocorrelation of generated keys, requiring improvements to traditional channel modeling methods.Additionally, the randomness and consistency of generated wireless keys are of higher importance in applications in internet of vehicles.This research focused on a key generation system based on the wireless physical layer, conducting channel modeling based on line-of-sight and multipath fading effects to reflect the impact of vehicle speed on autocorrelation.To enhance the randomness of key generation, a differential quantization method based on cumulative distribution function was proposed.Furthermore, an information reconciliation scheme based on neural network auto-encoder was introduced to achieve a dynamic balance between reliability and confidentiality.Compared to the implementation of Slepian-Wolf low-density parity-check codes, the proposed method reduces the bit disagreement rate by approximately 30%.…”
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DR_PVNet: An Improved PVNet Network for Weakly Textured Object Pose Estimation in Indoor Complex Environments by Mengru Niu, Changyong Li

“…The first step is to add the RFB_a module between the encoder and decoder, enhancing the semantic segmentation of the network. …”
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Congenital Chloride Diarrhea: Diagnosis by Easy-Accessible Chloride Measurement in Feces by C. Gils, M.-C. Eckhardt, P. E. Nielsen, M. Nybo

“…Congenital chloride diarrhea (CCD) is an autosomal recessive disorder caused by mutations in the genes encoding the intestinal Cl−/HCO3- exchanger and is clinically characterized by watery, profound diarrhea, electrolyte disturbances, and metabolic alkalosis. …”
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Therapies for Mitochondrial Disorders by Kayli Sousa Smyth, Anne Mulvihill

“…Mitochondrial proteins are encoded by either nuclear DNA (nDNA) or mtDNA, and both code for proteins forming the mitochondrial oxidative phosphorylation (OXPHOS) complexes of the respiratory chain. …”
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De Novo Mutation of the ADAMTS13 Gene with Mesenteric Ischemia in an Infant with Congenital Thrombotic Thrombocytopenic Purpura by Ibrahim Alharbi, Sarah Alqarni, Wed Khayyat, Amirah Almatrafi

“…Congenital thrombotic thrombocytopenic purpura (cTTP) is a rare autosomal recessive disease characterized by ADAMTS13 deficiency or a severe decrease in its activity that is caused by homozygous or combined heterozygous mutations in its encoding gene. Here, we describe a de novo genetic mutation of the ADAMTS13 gene and a rare complication of cTTP in a neonate. …”
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Role of Farnesoid X Receptor in the Pathogenesis of Respiratory Diseases by Jin-nan Wu, Jian-rong Chen, Jin-liang Chen

“…Farnesoid X receptor (FXR) is a bile acid receptor encoded by the Nr1h4 gene. FXR plays an important role in maintaining the stability of the internal environment and the integrity of many organs, including the liver and intestines. …”
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An Unusual Presentation of a Myocardial Crypt in Hypertrophic Cardiomyopathy by Danny A. J. P. van de Sande, Jan Hoogsteen, Luc J. H. J. Theunissen

“…More than 1000 mutations in more than 10 genes encoding for proteins of the cardiac sarcomere have been identified. …”
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Warfarin Dosing in a Patient with CYP2C9*3*3 and VKORC1-1639 AA Genotypes by Mark Johnson, Craig Richard, Renee Bogdan, Robert Kidd

“…Genetic factors most correlated with warfarin dose requirements are variations in the genes encoding the enzymes cytochrome P450 2C9 (CYP2C9) and vitamin K epoxide reductase (VKOR). …”
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Extracting the symmetries of nonequilibrium quantum many-body systems by Aleksandr N. Mikheev, Viktoria Noel, Ido Siovitz, Helmut Strobel, Markus K. Oberthaler, Jürgen Berges

“…Our approach is based on exact relations between correlation functions involving different numbers of spatial points, which can be viewed as nonequilibrium versions of (equal-time) Ward identities encoding the symmetries of the system. We derive symmetry witnesses, which are particularly suitable for the analysis of measured or simulated data at different snapshots in time. …”
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Association Between MLH1 Gene rs63749820 Polymorphism and the Risk of Breast Cancer in Northwest of Iran by Fatemeh Azimi, Sara Ghaffarian, Mehdi Haghi

“…Background and Aim: According to the available statistics in 2020, breast cancer was the most common cancer in women. The protein encoded by the MLH1 gene is part of the mismatch repair (MMR) system. …”
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Comparative metagenomics reveals the metabolic flexibility of coastal prokaryotic microbiomes contributing to lignin degradation by Qiannan Peng, Lu Lin

“…Further comparative metagenomic analysis, based on metagenomic assembly, revealed that L18 harbored abundant metagenome-assembled genomes (MAGs) that encoded diverse and unique lignin degradation gene clusters (LDGCs). …”
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Magnetic Resonance Imaging of Cells Overexpressing MagA, an Endogenous Contrast Agent for Live Cell Imaging by Donna E. Goldhawk, Claude Lemaire, Cheryl R. McCreary, Rebecca McGirr, Savita Dhanvantari, R. Terry Thompson, Rene Figueredo, Jim Koropatnick, Paula Foster, Frank S. Prato

“…Molecular imaging with magnetic resonance imaging (MRI) may benefit from the ferrimagnetic properties of magnetosomes, membrane-enclosed iron biominerals whose formation in magnetotactic bacteria is encoded by multiple genes. One such gene is MagA , a putative iron transporter. …”
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SHP2-Mediated Signal Networks in Stem Cell Homeostasis and Dysfunction by Chen Kan, Fan Yang, Siying Wang

“…Src homology region 2- (SH2-) containing protein tyrosine phosphatase 2 (SHP-2), a nonreceptor protein tyrosine phosphatase encoded by protein tyrosine phosphatase nonreceptor type 11 gene (PTPN11), regulates multicellular differentiation, proliferation, and survival through numerous conserved signal pathways. …”
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Complex regulation of Cav2.2 N-type Ca2+ channels by Ca2+ and G-proteins. by Jessica R Thomas, Jinglang Sun, Juan De la Rosa Vazquez, Amy Lee

“…Our results highlight the complexity whereby Cav2.2 channels integrate G-protein signaling pathways, which may enrich the information encoding potential of chemical synapses in the nervous system.…”
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CTHNet: A CNN–Transformer Hybrid Network for Landslide Identification in Loess Plateau Regions Using High-Resolution Remote Sensing Images by Juan Li, Jin Zhang, Yongyong Fu

“…Subsequently, we proposed a neural network architecture that employs a CNN–transformer hybrid as an encoder, with the ability to extract high-dimensional, local-scale features using CNNs and global-scale features using a multi-scale lightweight transformer module, thereby enabling the automatic identification of landslides. …”
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Ensemble learning-based predictor for driver synonymous mutation with sequence representation. by Chuanmei Bi, Yong Shi, Junfeng Xia, Zhen Liang, Zhiqiang Wu, Kai Xu, Na Cheng

“…In this study, we initially investigate the impact of sequence-based features, including DNA shape, physicochemical properties and one-hot encoding of nucleotides, and deep learning-derived features from pre-trained chemical molecule language models based on BERT. …”
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Cloning, Characterization and Expression Pattern of the Ovarian Cytochrome P450 Cyp19a1aGene in Gonadal Developmental Period of Cobaltcap Silverside Hypoatherina tsurugae by Dilip Kumar Bej

“…It consists of an open reading frame (ORF) of 1551 bp that encodes a 517 aa protein, found to be identical to the sequence of other fish species. …”
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Efficient Load Forecasting Optimized by Fuzzy Programming and OFDM Transmission by Sandeep Sachdeva, Maninder Singh, U. P. Singh, Ajat Shatru Arora

“…For further reducing the error, Orthogonal Frequency Division Multiplexing (OFDM) can be used with Reed-Solomon (RS) encoding. Further studies are going on with Fuzzy Regression methods to reduce the error more.…”
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