Expression profiles of long and short RNA s in the cytoplasm and nuclei of growing chicken (Gallus gallus domesticus) oocytes by A. V. Krasikova, A. V. Fedorov

“…Maternal RNAs accumulated during oocyte maturation are required not only for zygote formation but also for supporting the first embryonic cell divisions until embryo genome activation. Essential stages of transcriptome analysis include adaptation of RNA extraction procedures and characterization of the RNA expression profile. …”
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Modifying non-coding regions of linear DNA vaccines to explore the interplay of expression and inflammation in immunogenicity by David C. Stirling, Maria de Miguel Ferrer, Sungwon Kim, Madina Wane, Daniel Kysh, Lisa J. Caproni, John S. Tregoning

“…Here, we explore the effect of altering non-coding 5’ regions, on the immunogenicity of a closed linear DNA platform, Doggybone™ DNA (dbDNATM), produced by a rapid and scalable cell-free method. Using a mouse model, we found that enhancer sequences and DNA targeting sequences (DTS) increased influenza virus hemagglutinin (HA) expression and improved immune responses. …”
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The American Century of Henry R. Luce by Stephen J. Whitfield

“…Paru en temps de crise – la Grande Dépression – et de guerres – celle en Mandchourie mais aussi la Seconde Guerre mondiale – son éditorial proposait une mission nationale commune selon laquelle les Etats-Unis, étant donné leur exceptionnalisme, devaient d’une part mettre un terme à leur politique isolationniste pour embrasser l’interventionnisme et, d’autre part, en tant que puissance mondiale démocratique, montrer aux autres civilisations la voie qui les mènerait simultanément à la liberté et à une société d’affluence. …”
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Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator by Sateesh, Kaustubh Chakarwar, Shubham Sahay

“…Although ultra-dense magnetic memories with multi-bit capability (MLC) were proposed recently, their application in hybrid CMOS-non-volatile memory accelerators is limited due to their low dynamic range (memory window) and high cell currents (ON/OFF-state resistance in ∼kΩ). …”
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Molecular Mechanisms Contributing Bacterial Infections to the Incidence of Various Types of Cancer by Salah A. Sheweita, Awad S. Alsamghan

“…It has been found that inflammations induced cancer via different mechanisms including induction of cell proliferation and production of high levels of free radicals. …”
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Awardee Summary of 2023 Taiwan Oncology Society Clinical Research Award Recipient: Persistent Endeavors on Research of Digestive Cancers for Three Decades by Kun-Huei Yeh

“…Second, we have made persistent efforts in translational research and clinical trials on early-stage gastric mucosa-associated lymphoid tissue lymphomas (MALTomas), gastric diffuse large B-cell lymphomas, colorectal cancers (CRCs), pancreatic cancers, and immuno-oncology. …”
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Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables by Sajjad Farashi, Hossein Emad Momtaz

“…Factors extracted from urine such as WBC, nitrite, leukocyte, clarity, color, blood, bilirubin, urobilinogen, and factors extracted from blood test like mean platelet volume, lymphocyte, glucose, red blood cell distribution width, and potassium, and demographic data such as age, gender and previous use of antibiotics were the determinative factors for UTI prediction. …”
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Clinical and Morphological Manifestations of Gastritis and Serum Cytokine Levels in Schoolchildren with Familial History of Gastric Cancer by T. V. Polivanova, E. V. Kasparov, V. A. Vshivkov

“…In positive history and negative H. pylori tests, the cell immune response regulator IL-18 37 was revealed elevated in histology. …”
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Research on Integrated Control Strategy for Highway Merging Bottlenecks Based on Collaborative Multi-Agent Reinforcement Learning by Juan Du, Anshuang Yu, Hao Zhou, Qianli Jiang, Xueying Bai

“…The proposed Factored Multi-Agent Centralized Policy Gradients for Integrated Traffic Control in Dynamic Areas (FM-ITC-Darea) control strategy is simulated and tested on a multi-ramp scenario built on a multi-lane Cell Transmission Model (CTM) simulation platform. …”
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Traffic Risk Assessment Based on Warning Data by Tao Wang, Binbin Chen, Yuzhi Chen, Shejun Deng, Jun Chen

“…The data of bus vehicle warnings in Zhenjiang, Jiangsu Province, are employed as an example for validation. The geographic cell of 1 km × 1 km scale is applied as the basic risk assessment unit. …”
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Chloride Ingress in Cement Mortars Exposed to Acidithiobacillus thiooxidans Bacteria by Onesmus Mulwa Munyao, Joseph Karanja Thiong’o, Jackson Muthengia Wachira, Daniel Karanja Mutitu, Genson Murithi, Romano Mwirichia

“…Acidithiobacillus thiooxidans bacterial solution of concentration 1.0×107 cell/mL was used to prepare microbial mortar prisms, whereas distilled water was used to prepare the control mortar prisms. …”
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Burden of scabies in a Ghanaian penitentiary. by Yaw Ampem Amoako, Michael Ntiamoah Oppong, Dennis Odai Laryea, Gloria Kyem, Solomon Gyabaah, Abigail Agbanyo, Bernadette Agbavor, Nana Konama Kotey, Irene Dzathor, Felicia Owusu-Antwi, Kingsley Asiedu, Richard Odame Phillips, Ymkje Stienstra

“…Among males, the median (IQR) number of persons per cell was 115 (56-118) and 7 (7-8) for female prisoners. 79.2% of 96 individuals previously treated in the preceding two months still demonstrated skin manifestations of scabies. …”
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Antigen Delivery Platforms for Next-Generation Coronavirus Vaccines by Aziz A. Chentoufi, Jeffrey B. Ulmer, Lbachir BenMohamed

“…The development of a pan-CoV vaccine offering protection against a wide array of VOCs requires two key elements: (1) identifying protective antigens that are highly conserved between passed, current, and future VOCs; and (2) developing a safe and efficient antigen delivery system for induction of broad-based and long-lasting B- and T-cell immunity. This review will (1) present the current state of antigen delivery platforms involving a multifaceted approach, including bioinformatics, molecular and structural biology, immunology, and advanced computational methods; (2) discuss the challenges facing the development of safe and effective antigen delivery platforms; and (3) highlight the potential of nucleoside-modified mRNA encapsulated in lipid nanoparticles (LNP) as the platform that is well suited to the needs of a next-generation pan-CoV vaccine, such as the ability to induce broad-based immunity and amenable to large-scale manufacturing to safely provide durable protective immunity against current and future Coronavirus threats.…”
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Inferring Tripartite Associations of Vector-Borne Plant Pathogens Using a Next-Generation Sequencing Approach by Ava M. Gabrys, Christopher H. Dietrich, Valeria Trivellone

“…Phytoplasmas are a group of plant-pathogenic, cell-wall-less bacteria vectored primarily by leafhoppers (Hemiptera Cicadellidae), one of the most diverse families of insects. …”
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Exploring RNA-Seq Data Analysis Through Visualization Techniques and Tools: A Systematic Review of Opportunities and Limitations for Clinical Applications by Farhana Manzoor, Cyruss A. Tsurgeon, Vibhuti Gupta

“…We found that 18% of studies have visualization techniques and tools for circular RNA-seq data, 56% for single-cell RNA-seq data, 23% for bulk RNA-seq data, and 3% for long non-coding RNA-seq data. …”
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Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
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Quick-assembly units in steel frames of multi-storey buildings by A. R. Tusnin, I. V. Myl’nikov

“…The nodes were developed using the example of a typical frame of a five-storey building with cell sizes from 3 × 3 to 6 × 6 m with structural elements of specified sections.Results. …”
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Convolutional Neural Network and LSTM for Seat Belt Detection in Vehicles using YOLO3 by Erika Udayanti, Etika Kartikadarma, Fahri Firdausillah

“…Several types of violations detected include the use of seat belts, the use of cell phones while driving, which is influenced by the number of vehicles, vehicle speed and lighting, which can increase the difficulty in the detection process. …”
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Microplastic and human health with focus on pediatric well-being: a comprehensive review and call for future studies by Rogers Wainkwa Chia, Ntegang Venant Atem, Jin-Yong Lee, Jihye Cha

“…This study thoroughly summarized how MP exposure in children of all ages causes cell damage and leads to adverse health effects such as cancer. …”
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Beyond periodicity: tailoring Tamm resonances in plasmonic nanohole arrays for multimodal lasing by Shadman Shahid, Muhammad Anisuzzaman Talukder

“…However, these resonances vanish when the hole arrangement shifts from a regular array to a pseudo-periodic random array, which is defined as a collection of holes placed randomly within a periodically repeating square unit cell. These multiple resonances can be attributed to the folding of dispersion lines in a periodically patterned TP cavity. …”
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