Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression by Gabriele Baris, Boda Li, Pak Hung Chan, Carlo Alberto Avizzano, Valentina Donzella

“…Recent advances in sensing, processing, machine learning, and communication technologies are accelerating assisted and automated functions development for commercial vehicles. Environmental perception sensor data streams are processed to generate a correct and complete situational awareness. …”
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Health systems governance, shocks and resilience: a scoping review of key concepts and theories by Mauricio Avendano, Didier Wernli, Stéfanie Monod, Camille Poroes, Giulia Belloni, Nolwenn Bühler

“…To address this gap, the aim of this paper is to carry out a scoping review of conceptualisation and theories on the definition and relationship between governance and health system resilience in the context of shocks.Methods Six electronic databases were searched using the following keywords: resilience, health system, framework and governance. 835 abstracts were screened, and 47 full texts were extracted and analysed in MAXQDA using inductively generated codes. We analysed the conceptualisation of health system resilience, governance and shock and theories on the relationship between them.Results Although there are no collectively agreed definitions, health system resilience is typically defined as the capacity of a system to continue to perform its fundamental functions in the setting of acute disruptive events (shocks). …”
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Media portrayals and social stigma surrounding COVID-19 survivors: a content analysis of Chinese media coverage by Weili Wang, Wenxuan Zhang

“…While the negative impacts of COVID-19 on survivors’ labour and social capacities were not a major focus in most outlets, these impacts were still present, particularly in People’s Daily and Sanlian Lifeweek, which reported more significant negative effects on survivors’ social functions. …”
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2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction by Zinnet Duygu Akşehir, Erdal Kılıç

“…During the denoising phase, noise in the stock prices was successfully removed, and noiseless intrinsic mode functions (IMFs) were obtained. The optimal model and hyperparameters for each IMF component were determined using Bayesian optimization, significantly improving prediction accuracy. …”
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Quality of Life of Patients with Back Pain by Bianka Misiak, Katarzyna Krystyna Snarska

“…Back pain often included one or two sections of the spine and the degree of pain perceived generated deterioration in the quality of life caused by an increase in absence from work, severity of depression, limited social interaction, and difficulties in carrying out physiological functions. 2. …”
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Low-overhead routing algorithm for opportunistic networks based on immunity information piggybacked by SV by Zhi REN, Cong CHEN, Ya-nan CAO, Chen PENG, Qian-bin CHEN

“…A novel routing algorithm,LRPI (low-overhead routing with piggybacked immunity information) was proposed.LRPI contains the following four new mechanisms:piggybacking the immune information with SV(summary vectors),fast generation of the immune information through a cross-layer method,an improved exchange mechanism of SV,and adaptive compression of SV.Based on the above new mechanism,LRPI not only avoids using special data structure but also can achieve the same immune function more quickly.Theoretical analysis and simulation results show that LRPI outperforms the classical epidemic routing algorithm and a few of its improvements in terms of control overhead,the number of saved packets,and average end-to-end delay.…”
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Demography and the age of rare variants. by Iain Mathieson, Gil McVean

“…Haplotypes shared between continents are much older with median ages for haplotypes shared between Europe and Asia ranging from 320 to 670 generations. The distribution of the ages of ƒ(2) haplotypes is informative about their demography, revealing recent bottlenecks, ancient splits, and more modern connections between populations. …”
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Revisiting the Middle Molecule Hypothesis of Uremic Toxicity: A Systematic Review of Beta 2 Microglobulin Population Kinetics and Large Scale Modeling of Hemodialysis Trials In Sil... by Maria Eleni Roumelioti, Thomas Nolin, Mark L Unruh, Christos Argyropoulos

“…A quantitative description of the relative importance of factors determining β2M concentrations among patients with impaired kidney function is currently lacking.<h4>Methods</h4>Herein we undertook a systematic review of existing studies reporting patient level data concerning generation, elimination and distribution of β2M in order to develop a population model of β2M kinetics. …”
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Performance evaluation of extreme value prediction methods for bridge traffic load effects by Miaomiao Xu, Xiao-Yi Zhou, Jie Shen, Deliang Ding, Sugong Cao, C. S. Cai

“…Accurately determining the distribution functions of maximum values is crucial for assessing bridge safety under traffic loads. …”
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qGO: a novel method for quantifying the diversity of mitochondrial genome organization by Haihe Shi, Shuai Yang, Meicai Wei, Gengyun Niu

“…These findings have significant implications for unraveling genome evolution, exploring genome function, and investigating the process of molecular evolution.…”
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Plant-based chitosan for the development of biodegradable packaging materials by Adity Bahndral, Rafeeya Shams, Pintu Choudhary

“…The quantity of waste generated in a mushroom farm varies from 5–20 % of the total yielding quantity. …”
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The Mycobacterium tuberculosis Rv2745c plays an important role in responding to redox stress. by Amanda McGillivray, Nadia Abrahams Golden, Uma Shankar Gautam, Smriti Mehra, Deepak Kaushal

“…Our isogenic mutant, Mtb:ΔRv2745c, is significantly more sensitive to in vitro redox stress generated by diamide, relative to wild-type Mtb as well as to a complemented strain. …”
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Supervised optimal control in complex continuous systems with trajectory imitation and reinforcement learning by Yingjun Liu, Fuchun Liu, Renwei Huang

“…Reinforcement learning (RL) automatically learns complex decisions through trial and error, but it requires the design of precise reward functions combined with domain knowledge. For complex scenarios where the reward function cannot be achieved or is only with sparse rewards, we proposed a novel supervised optimal control framework based on trajectory imitation (TI) and reinforcement learning (RL) in this paper. …”
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The role of metal-halide bond in the distortions and asymmetric non-covalent interactions in chiral hybrid perovskites by Mariagrazia Fortino, Alessandro Mattoni, Adriana Pietropaolo

“…This result indicates that the central metal strongly influences the overall packing encapsulating the chiral ligands stabilized by non-covalent interactions. The more the central metal is a hard acid, the more the bond with the soft iodide base is weak or viceversa the more the central metal is a soft acid, the more the bond with a hard base is weak. …”
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A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans. by Sarah A Pendergrass, Steven Buyske, Janina M Jeff, Alex Frase, Scott Dudek, Yuki Bradford, Jose-Luis Ambite, Christy L Avery, Petra Buzkova, Ewa Deelman, Megan D Fesinmeyer, Christopher Haiman, Gerardo Heiss, Lucia A Hindorff, Chun-Nan Hsu, Rebecca D Jackson, Yi Lin, Loic Le Marchand, Tara C Matise, Kristine R Monroe, Larry Moreland, Kari E North, Sungshim L Park, Alex Reiner, Robert Wallace, Lynne R Wilkens, Charles Kooperberg, Marylyn D Ritchie, Dana C Crawford

“…We performed a hypothesis-generating phenome-wide association study (PheWAS) to identify and characterize cross-phenotype associations, where one SNP is associated with two or more phenotypes, between thousands of genetic variants assayed on the Metabochip and hundreds of phenotypes in 5,897 African Americans as part of the Population Architecture using Genomics and Epidemiology (PAGE) I study. …”
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Application of the New Mapping Method to Complex Three Coupled Maccari’s System Possessing M-Fractional Derivative by Jan Martinovic, Aziz Ur Rehman, Muhammad Bilal Riaz

“…The derived solutions in the form of hyperbolic and trigonometric functions. Our study elucidates a variety of soliton solutions such as periodic, singular, dark, kink, bright, dark-bright solitons solutions. …”
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Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study by Klaudia Lenart

“…Methodology: A simulation study was conducted, during which the data was generated using copula functions. For the purpose of generating different types of anomalies, marginal distributions of the variables were manipulated. …”
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Image Fusion Techniques Based on Optimization Algorithms: A Review by Anamika Goel, Javed Wasim, Prabhat Kumar Srivastava, Kanika Malik, Monika Singh

“…In image processing applications, image fusion techniques gain popularity because they combine the most appropriate features of different source images in order to generate a single image that contains more information and is more beneficial. …”
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Workbench for a Parabolic Trough Solar Collector with a Tracking System by Luciano A. Fiamonzini, Gustavo A. R. Rivas, Oswaldo H. Ando Junior

“…Yet, the efficiency in function of the flow became optimal when the flow regime became turbulent. …”
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Tribochemistry of organic friction modifiers in lubrication of bio-hydrogenated diesel by Paweekan Hansungnoen, Ekarong Sukjit, Anawat Phatthanaphon, Atthaphon Maneedaeng

“…A clear hierarchical ranking of functional group effectiveness in reducing friction and wear was established: COOH > –CONH2 > –OH > –COOR, with polar head group chemistry playing a more dominant role than hydrocarbon tail configuration. …”
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