Parallel algorithm for sensitive sequence recognition from long-read genome data with high error rate by Cheng ZHONG, Hui SUN

“…To solve the problem that existing algorithms were difficult to effectively identify sensitive sequences in genomic data for long-read with high error rate, a recognition algorithm using hybrid CPU and GPU parallel computing, called CGPU-F3SR, was proposed.Firstly, the long-read in genomic data were partitioned into multiple short-read, and the Bloom filtering mechanism was used to avoid repeated calculation of the short-read.Secondly, the k-mer coding strategy was used to extract in parallel the error information of all short-read, the recognition accuracy was promoted by improving the sequence similarity calculation model.Finally, CPU and GPU were used to coordinate and parallel to accelerate the calculation of short-read similarity to improve recognition efficiency.As a result, both two types of sensitive sequences including short tandem repeats and disease related sequences could be identified efficiently and accurately from genome data for long-read with high error rate.The experimental results of recognizing sensitive sequences from genomic data for long-read with length 100～400 kbp each show that, compared with existing parallel algorithm, the average recognition accuracy and precision rate of proposed CPU/GPU parallel algorithm CGPU-F3SR are increased by 7.77% and 43.07% respectively, its average false positive rate is reduced by 7.41%, and its average recognition throughput is increased by 2.44 times.…”
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Results of non-interventional observational study of ursodeoxycholic acid in primary biliary cirrhosis by Yelena N. Shirokova, Anna F. Sheptulina

“…All patients received «Livodexa®» in the daily dose of 15 mg/kg taken two times per day for 3 months. Efficacy and safety investigation of the drug was carried out at the day 30 (visit 2) and at the day 90 (visit 3) according to the laboratory tests results, quality of life assessment by SF-36 questionnaire, registration of frequency and severity of the adverse events (AE). …”
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Fully charmed tetraquark production at the LHC experiments by Ilia Belov, Alessandro Giachino, Elena Santopinto

“…From the comparison with the signal yield at LHCb we derive the constraints on the Φ · Br(J/ψ J/ψ) (reduced wave function times branching) product for the T 4c candidates for X(6900) and observe that X(6900) is compatible with a 2++(2S) state.…”
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Analysis of risk factors for the development of obesity in preschool children: a logistic model analysis by Huasheng Jin, Huihui Zhou, Kai Chen

“…Meanwhile, higher parental education levels and longer daily outdoor activity times were considered protective factors against obesity.DiscussionEffective interventions targeting the above risk factors are necessary to minimize the incidence of obesity and promote the healthy development of children.…”
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Advanced ellipse overlap computation based on segment area of circles by Minhye Kim, Yongkuk Kim, Giphil Cho

“…We compared our method with the traditional Monte Carlo method and found that when the relative error is 0.0245, our method operates approximately 6 times faster. Our research applies to fields like robotics, GIS, industrial clustering, and biology, with strong potential in medical imaging and diagnosis.…”
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Attention Bias to Pain Words Comes Early and Cognitive Load Matters: Evidence from an ERP Study on Experimental Pain by Kangling Wang, Yifei Chen, Shimin Huang, Howe Liu, Wen Wu

“…We found that high-load tasks had longer response times and lower accuracies than low-load tasks did and that different neural processing of words occurred between the groups. …”
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AI language model rivals expert ethicist in perceived moral expertise by Danica Dillion, Debanjan Mondal, Niket Tandon, Kurt Gray

“…Here, we advance work on the Moral Turing Test and find that Americans rate ethical advice from GPT-4o as slightly more moral, trustworthy, thoughtful, and correct than that of the popular New York Times advice column, The Ethicist. Participants perceived GPT models as surpassing both a representative sample of Americans and a renowned ethicist in delivering moral justifications and advice, suggesting that people may increasingly view LLM outputs as viable sources of moral expertise. …”
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Particle Filtering for Obstacle Tracking in UAS Sense and Avoid Applications by Anna Elena Tirri, Giancarmine Fasano, Domenico Accardo, Antonio Moccia

“…In fact, obstacles in the flight path must be detected and tracked in an accurate and timely manner in order to execute a collision avoidance maneuver in case of collision threat. …”
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Magnetic Apposition across the Epiglottis: Radiographic and Operative Correlation of a Rare Hypopharyngeal Foreign Body by Yeli Pi, Shilpa Radhakrishnan, Yaser Alrajhi, Ravi Bhargava

“…Awareness and recognition of the unique radiographic findings of this rare entity can help clinicians streamline timely management.…”
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The Impact of Family Setting and Local Opportunities on Leaving Home and Migration Destinations of Rural Youths, The Netherlands 1860-1940 by Bastian Mönkediek, Jan Kok, Kees Mandemakers

“…We focus on their final move from the parental home, and we will analyse not only timing and incidence of leaving, but also the destinations. …”
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Embedding Automated Writing Evaluation in Providing Formative Feedback by Maya Defianty, Siti Zulfa, Yatni Fatwa Mulyati

“…Nevertheless, effective feedback constitutes more than timely feedback. AWE-based applications cannot attain other factors, such as ongoing and goal-oriented. …”
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Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor by Yukai Lin, Qiangfu Zhao

“…Additionally, in homes requiring special care, it can provide timely assistance. However, this technology faces limitations such as privacy concerns, environmental factors, and costs. …”
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Deep learning based gasket fault detection: a CNN approach by S. Arumai Shiney, R. Seetharaman, V. J. Sharmila, S. Prathiba

“…The proposed method automates the detection of misaligned or incorrectly fitting gaskets, ensuring timely repair action. The suggested method uses deep learning approaches to recognize and evaluate radiator images, with a focus on identifying misaligned or incorrectly installed gaskets. …”
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On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture by Niroshinie Fernando, Samir Shrestha, Seng W. Loke, Kevin Lee

“…The results demonstrate significant improvements, with speedups of up to 7.5 times and energy savings reaching 80%, underlining the effectiveness and practical benefits of our cooperative edge-fog-cloud model in supporting the dynamic computational needs of IoT ecosystems. …”
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Multiple magma recharges over prolonged period ultimately trigger eruptions at Vulcano, Aeolian Islands by Marisa Giuffrida, Giuseppe Salerno, Marco Viccaro

“…Abstract The compositional heterogeneity of clinopyroxene in products of the 1888-90 eruption at La Fossa of Vulcano has been used to constrain times of the plumbing system reactivation before the eruption. …”
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Development of a Theoretical Delay Model for Heterogeneous and Less Lane-Disciplined Traffic Conditions by Abdhul Khadhir, Ashish Bhaskar, Lelitha Vanajakshi, Md. Mazharul Haque

“…The developed model is used for signal optimisation under HLLD traffic conditions and reductions of up to 24% in control delay in comparison to the in-practice signal timing approach are observed. The study also highlights the significance of knowing the variation of delay in addition to average delay and presents a simple approach to capture the variation in delay.…”
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The powerless bosses: the working day experience of bicycle messengers and its impact on their identities and wellbeing by Iben Østin Hjelle, Helle Nordrum, Julian-Werner Wentzeck, Ali Teymoori

“…Conclusion The working experience of bicycle messengers is marked by a paradoxical sense of autonomy and powerlessness in the face of algorithmic control, a perceived sense of devaluation by others and its reproduction among their own colleagues, and competitive and at times hostile intra- and inter-group dynamics. We explore the implications of such working experiences for bicycle messengers’ wellbeing and identity within this newly evolving form of labor.…”
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IMPROVING STUDENTS’ ABILITY IN EXPRESSING IDEAS IN DESCRIPTIVE WRITING BY USING PICTURE SERIES TECHNIQUE (A Quasi – Experimental Research at SMPN 14 Bengkulu City) by Leny Susiana

“…Both classes were given a post test after them giving a treatment (by using picture series technique) for several times. The average scores both classes were calculated by using the t-test formula. …”
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Early Kasai portoenterostomy in a 9-day-old newborn with extrahepatic biliary atresia: a case report highlighting improved prognosis with prompt intervention by Mortada H.F. El-Shabrawi, Gamal Eltagy, Mohamed Qinawy, Mohammed Am Oshi, Amjad Algethami, Nawaf A Alhujayri, Shaker S Alharthi, Abdullah M Alelyani, Naglaa M Kamal

“…This report highlights the importance of timely intervention, describing a 6-day-old male newborn diagnosed with EHBA who underwent successful Kasai portoenterostomy at 9 days of age. …”
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Armies of War Without Uniforms: Mercenaries and Private Military Companies in Russia’s Interventions in Syria and Ukraine by Çağla Mavruk, Ali Gök

“…The history of mercenaries dates back to ancient times. However, they were used extensively in conflicts in many regions after the Cold War. …”
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