Challenges and considerations of genetic testing in von Willebrand disease by Omid Seidizadeh, Luciano Baronciani, Flora Peyvandi

“…With the introduction of next-generation sequencing, genetic analysis of the VWF has become more practical than it was in the past, when Sanger sequencing was used. …”
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Arabic Linguistics And Phonetics* An Introduction To The Neo-khalilian Theory by Abderrahmane Hadj Saleh

“…These ancient grammarians‚ and more particularly al-Ḫalil lbn Aḥmad (8th century), have underlined the most important function of language, i.e communication. …”
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Gut dysbiosis is associated with difficult-to-treat rheumatoid arthritis by Patricia Ruiz-Limón, Patricia Ruiz-Limón, Patricia Ruiz-Limón, Natalia Mena-Vázquez, Natalia Mena-Vázquez, Isabel Moreno-Indias, Isabel Moreno-Indias, Isabel Moreno-Indias, Jose Manuel Lisbona-Montañez, Jose Manuel Lisbona-Montañez, Jose Manuel Lisbona-Montañez, Arkaitz Mucientes, Arkaitz Mucientes, Sara Manrique-Arija, Sara Manrique-Arija, Sara Manrique-Arija, Rocío Redondo-Rodriguez, Rocío Redondo-Rodriguez, Laura Cano-García, Laura Cano-García, Francisco J. Tinahones, Francisco J. Tinahones, Francisco J. Tinahones, Francisco J. Tinahones, Antonio Fernández-Nebro, Antonio Fernández-Nebro, Antonio Fernández-Nebro

“…The families Lachnospiraceae and Pasteurellaceae, and their genera Coprococcus and Haemophilus were more abundant in E2T RA patients, while the genus Megasphaera was more abundant in D2T RA patients. …”
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Investigation, Optimization of Energy Consumption and Yield Modeling of Two Paddy Cultivars with Genetic-Artificial Bee Colony Algorithm by S. Sharifi, N. Hafezi, M. H. Aghkhani

“…An artificial bee colony (ABC) algorithm with a novel and straightforward elitism structure was utilized to enhance the fitness function of the genetic algorithm (GA). The Sphere, Repmat, and Unifrnd functions were employed to determine the objective function, define the position of the bee colony, and quantify the position of the bee colony, respectively. …”
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Face Detection and Segmentation Based on Improved Mask R-CNN by Kaihan Lin, Huimin Zhao, Jujian Lv, Canyao Li, Xiaoyong Liu, Rongjun Chen, Ruoyan Zhao

“…To overcome this drawback, we present a face detection and segmentation method based on improved Mask R-CNN, named G-Mask, which incorporates face detection and segmentation into one framework aiming to obtain more fine-grained information of face. Specifically, in this proposed method, ResNet-101 is utilized to extract features, RPN is used to generate RoIs, and RoIAlign faithfully preserves the exact spatial locations to generate binary mask through Fully Convolution Network (FCN). …”
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Comparative Analysis of Stability to Induced Deadlocks for Computing Grids with Various Node Architectures by Tatiana R. Shmeleva

“…The execution intensity of guns which generate a malicious traffic is determined by a random function with the Poisson distribution. …”
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Assessing the potential impact of transmission during prolonged viral shedding on the effect of lockdown relaxation on COVID-19. by Burcu Tepekule, Anthony Hauser, Viacheslav N Kachalov, Sara Andresen, Thomas Scheier, Peter W Schreiber, Huldrych F Günthard, Roger D Kouyos

“…A key parameter in epidemiological modeling which characterizes the spread of an infectious disease is the generation time, or more generally the distribution of infectiousness as a function of time since infection. …”
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Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement by Mohammad Ismail, Zohair Al-Ameen

“…Next, a modified gamma-adjusted Rayleigh distribution function is applied, and its outcome is processed once more by an automatic linear contrast stretching approach to produce the processed V channel that will be utilized with the preserved H and S channels to generate the output RGB image. …”
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Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking by Ah-Hyung Shin, Seong Tae Kim, Gyeong-Moon Park

“…Time series anomaly detection is a task that determines whether an unseen signal is normal or abnormal, and it is a crucial function in various real-world applications. Typical approach is to learn normal data representation using generative models, like Generative Adversarial Network (GAN), to discriminate between normal and abnormal signals. …”
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Energy Recovery Ventilation: What Is Needed to Fill the Research Gaps Related to Its Effects on Exposure to Indoor Bio-Aerosols, Nanoparticulate, and Gaseous Indoor Air Pollution by Yevgen Nazarenko, Chitra Narayanan

“…Filling the research gaps identified herein is urgently needed to alert and inform the industry about how to optimize ERVs to help prevent air pollutant generation and recirculation from these systems and enhance their function of pollutant removal from residential and commercial buildings. …”
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Beyond nutritional immunity: immune-stressing challenges basic paradigms of immunometabolism and immunology by Edmund K. LeGrand

“…Pathogens have the well-known advantage of rapid evolution due to short generation times and large populations. However, pathogens have the rarely noted disadvantage of the vulnerability to stress involved in proliferation as well as being localized. …”
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Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion by Xu Li, Xinlong Wang, Chunlong Yao, Yang Li

“…Additionally, they often use short texts with few available features, making the analysis more challenging. To this end, this paper proposes a generative model for graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion. …”
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Mechanisms of γ-ray irradiation induced oxidation corrosion in SnBi eutectic solder joints: Insights from first-principles calculations by Qilong Guan, Shengli Li, Kai Li, Xuan Li, Ruiqi Wang, Xiaojiu Tang, Chunjin Hang

“…Bi incorporation lowers the work function of the Sn-based solid solution than Bi-based solid solution, making Sn more susceptible to oxidation. …”
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Adjacency List Algorithm for Traffic Light Control Systems in Urban Networks by Sergio Rojas-Blanco, Alberto Cerezo-Narváez, Manuel Otero-Mateo, Sol Sáez-Martínez

“…To address this challenge, this paper presents an algorithm and MATLAB function that generates an adjacency list of traffic signals to provide detailed information about the relationships between all signals within a network. …”
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A Novel Method for Preparing Uniform Micro-Sized Dry Powder Formulations, Including Aggregation-Controlled VHH by Tatsuru Moritani, Hidekazu Masaki, Ryo Yonehara, Takeru Suzuki, Hidenao Arai, Masayuki Tsuchiya, Naoto Nemoto

“…However, this process degraded VHHs or inactivated their function, and ultimately, only about 30% of the original VHHs were functional, whereas the remaining VHHs that were not degraded showed little loss of functionality, even after storage at room temperature for more than two years. …”
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Profiling of the Predicted Circular RNAs in Ductal In Situ and Invasive Breast Cancer: A Pilot Study by Marco Galasso, Giorgio Costantino, Lorenzo Pasquali, Linda Minotti, Federica Baldassari, Fabio Corrà, Chiara Agnoletto, Stefano Volinia

“…The recent advantage obtained by next generation sequencing allows a depth investigation of a new “old” kind of noncoding transcript, the circular RNAs. …”
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Case Report: Subcutaneous ofatumumab for patients with immunosuppressant-dependent or ineffective primary membranous nephropathy by Jie Chen, De-tian Li, Xin Feng, Bei-Ru Zhang

“…However, some patients either fail to respond to rituximab or experience adverse reactions, indicating that newer-generation CD20 mAbs may offer a more effective alternative. …”
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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…Aligned with the uncertainty and complexity entailed by the maritime milieu, this study specifically fine‒tunes the output layer of the Actor network by amplifying the amplitude of the TanH function. This adjustment endows the Actor network with the ability to generate more versatile and extensive control actions, adeptly adapting to the capriciousness of the sea. …”
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Development of a hydrogel-based three-dimensional (3D) glioblastoma cell lines culture as a model system for CD73 inhibitor response study by Marjan Bahraminasab, Samira Asgharzade, Ali Doostmohamadi, Atefeh Satari, Farkhonde Hasannejad, Samaneh Arab

“…Conclusion Our current research demonstrates the great potential of CD73 inhibitor for clinical translation of cancer studies by analyzing the behavior and function of 3D tumor cells, and thus for more effective treatment protocols for GBM.…”
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Smart Charging and V2G: Enhancing a Hybrid Energy Storage System with Intelligent and Bidirectional EV Charging by Thomas Franzelin, Sarah Schwarz, Stephan Rinderknecht

“…In the case of bidirectional charging, EVs can even function as mobile, flexible storage systems that can be integrated into the grid. …”
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