Comprehensive genomic study of Plasmodium falciparum in Sierra leone: genetic variation and resistance patterns by Xin-jie Zhan, Shen-Bo Chen, Tian-yu Wang, Yi-wen Duan, Hai-Mo Shen, Jun-Hu Chen, Jing-jing Xie

“…Sierra Leone, with year-round transmission of malaria, continues to experience high infection rates, largely due to P. falciparum. Although genomic databases have provided valuable insights into malaria transmission patterns, drug resistance, and population structure, data from Sierra Leone has been limited. …”
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Audit of Infection and Antimicrobial Drug Resistance Pattern in Bacterial Infections in Road Traffic Accident Survivors by Nikku Mathew Geevarughese, Siddhant Suresh, Ramakrishna Jakribettu Pai, Jeffy Mary Mathew, Sucharita Suresh, Manjeshwar Shrinath Baliga

“…Background: In countries like India, road traffic accident (RTA) associated morbidity and mortality is rising in alarming rate and is major concern of public health. Around 80% of the late deaths in trauma patients are due to infection. …”
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Geometric thermodynamics of reaction-diffusion systems: Thermodynamic trade-off relations and optimal transport for pattern formation by Ryuna Nagayama, Kohei Yoshimura, Artemy Kolchinsky, Sosuke Ito

“…This enables us to extract the excess entropy production rate that genuinely contributes to the time evolution of patterns. …”
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Study on Effect of Consumer Age, Family Income and Family Size on Fast Fashion Consumption Pattern by Sushil Kumar Bishnoi, Ramratan Guru

“…The demand for fast fashion and clothing is rising at a very high rate, which has made it hard for retail brands and apparel manufacturers to meet the consumer expectations. …”
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Different Patterns of Bacterial Species and Antibiotic Susceptibility in Diabetic Foot Syndrome with and without Coexistent Ischemia by Rafał Małecki, Kamil Klimas, Aleksandra Kujawa

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Revealing Physical Mechanisms of Spatial Pattern Formation and Switching in Ecosystems via Nonequilibrium Landscape and Flux by Jie Su, Wei Wu, Denis D. Patterson, Simon Asher Levin, Jin Wang

“…Furthermore, both the averaged flux and the entropy production rate exhibit peaks near pattern switching boundaries, revealing dynamical and thermodynamical origins for pattern transitions, and further offering early warning signals for anticipating spatial pattern switching. …”
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Chronosequence Resampling Elucidates Tree Community and Forest Structure Recovery Patterns in Restored Tropical Rainforest by Eveliina Korkiatupa, Geoffrey M. Malinga, Sille Holm, Wouter vanGoor, Richard Kigenyi, Anu Valtonen

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Patterns and predictors of mental workload in intern nursing students: a latent profile analysis by Yanmei Gan, Tingting Liao, Lingfang Liu, Yao Du, Mingjuan Guo, Gaoye Li

“…Age and monthly income of 3000–5000 RMB were the main predictors of low MWL-high self-rated pattern. In contrast, long internships, passive coping strategies, college degree and monthly income < 3000 RMB were predictors of moderate MWL pattern. …”
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Inhibition and Reduction of Biofilm Production along with Their Antibiogram Pattern among Gram-Negative Clinical Isolates by Ojaswee Shrestha, Nabina Shrestha, Sadhana Khanal, Sushant Pokhrel, Sujina Maharjan, Tika Bahadur Thapa, Puspa Raj Khanal, Govardhan Joshi

“…Isolates forming biofilm had a higher resistance rate and β-lactamase production compared to biofilm nonproducers. …”
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Reirradiation practices of Radiation Therapists (RePoRT) study by Neva Pang, Alvin Cuni, Amanda Caissie, Leigh Conroy, Aileen Duffton, Winnie Li, Brian Liszewski, Donna H. Murrell, Andrea Shessel, Fátima Silva, Yat Tsang, Michael Velec

“…The 48-item questionnaire asked RTTs the frequency of performing a range of reirradiation activities, to self-rate their competency levels, and to identify enablers and barriers to reirradiation practice. …”
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Prescription patterns of traditional Chinese medications and potential consequences in patients with new-onset cardiac or vascular-related diseases: a nationwide cohort study by Sheng-Shing Lin, Hsin-Hui Tsai, Daniel Hsiang-Te Tsai, Chiu-Lin Tsai, Nanae Itokazu, Jaung-Geng Lin, Edward Chia-Cheng Lai, Hsiang-Wen Lin, Yu-Chang Hou

“…Regardless of prior CM use, both groups had a relatively high rate of comorbidities; CM or specific WM use; and incidence of severe cardiovascular, cerebrovascular, or thromboembolic events (33.81% vs. 31.97%) and severe bleeding (18.32% vs. 16.57%). …”
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Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia by Mahboubeh Ahmadipour, Luigi M. Romito, Antonio E. Elia, Nico Golfré Andreasi, Roberto Eleopra, Alberto Mazzoni, Fabiana Colucci

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The pattern of lung function tests in children with sickle cell disease: A case-control study. by Abinaya Kannan, Gaurav Sarnaik, Nikita Agarwal, Atul Jindal

“…<h4>Results</h4>Children with SCD had significantly lower pulmonary function values compared to controls: FEV1 median difference: 33.5% (95% CI: 27.2-38.0; p < 0.0001), FVC: 25.4% (95% CI: 30.0-32.25; p < 0.0001), FEV1/FVC: 0.088 (95% CI: 0.075-0.083; p < 0.0001), Peak Expiratory Flow Rate (PEFR): 24.8% (95% CI: 16.38-33.8; p < 0.0001), FeNO: 8.17 ppb (95% CI: 5.77-12.65; p < 0.0001). …”
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Pattern-Based Feature Extraction for Improved Deep Learning in Financial Time Series Classification by Seyed Ali Hosseini, Francesco Grimaccia, Alessandro Niccolai, Silvia Trimarchi

“…By collecting tick-by-tick data from the European Carbon Emission Allowance market and resampling it to a 15-minute timeframe, we developed a method to detect pivotal price patterns and extract relevant features. Integrating these features with traditional open, high, low, close, and volume (OHLCV) data in long-short-term memory (LSTM) and gated recurrent unit (GRU) combined with dense neural networks, our empirical results demonstrate significant improvements in model performance, showcasing enhanced accuracy compared to models using only traditional data features.…”
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Acclimatization response to a short-term heat wave during summer in lactating Brown Swiss and Holstein Friesian cows by Aristide Maggiolino, Lucrezia Forte, Alessandra Aloia, Umberto Bernabucci, Erminio Trevisi, Cristina Lecchi, Fabrizio Ceciliani, Geoffrey E. Dahl, Pasquale De Palo

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Structural background of intraspecific color polymorphism and the driver of geographic patterns in a shining leaf chafer by Yuanyuan Lu, Alexander Kovalev, Lulu Li, Chuchu Li, Xinyi Zhu, Min He, Xingke Yang, Ming Bai, Stanislav N. Gorb

“…We have also shown that the blue phenotype exhibits a slightly faster heating rate than the other phenotypes facilitating their adaptation to lower-temperature regions. …”
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STUDYING OF DUAL DEEP PERIOCULAR PARTS FOR PERSONS RECOGNITION by Safa N. H. Al-Moktar, Raid Al-Nima

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Evaluation of soil quality and analysis of drivers of different vegetation patterns in the loess region of Northern Shaanxi by Youfu Wang, Fangfang Qiang, Guangquan Liu, Changhai Liu, Jie Gao, Ning Ai

“…The results revealed that (1) the maximum water holding capacity (MWHC), capillary water holding capacity (CWHC), total porosity (TCP), soil organic carbon (SOC), quick acting phosphorus (AP), C/P, and C/N of the PTF sample were significantly greater than those of the other vegetation models, and the maximum water holding capacity (MWHC), capillary water holding capacity (CWHC), soil organic carbon (SOC), total nitrogen (TN), and total phosphorus (TP) of the MAF sample site were significantly lower than those of the other sample sites, while soil bulk density (BD) was significantly higher than other sample sites. (2) According to the principal component analysis of the 16 physical and chemical indicators, the eigenvalues of the first four principal components were 1, and the cumulative contribution rate reached 77.482%, which effectively included the information of the original variables. (3) The soil qualities of the different vegetation types in the loess area of northern Shaanxi were ranked as follows: PTF (0.534) > SLP (0.494) > SF (0.462) > MF1 (0.430) > HPF (0.423) > BLF (0.420) MF2 > (0.415) > MAF (0.389). (4) SEM revealed that soil quality drivers varied among vegetation patterns, but soil organic carbon (SOC), as the main influencing factor, positively affected all vegetation. …”
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COVID-19 Organ Injury Pathology and D-Dimer Expression Patterns: A Retrospective Analysis by Raluca Dumache, Camelia Oana Muresan, Sorina Maria Denisa Laitin, Nina Ivanovic, Adina Chisalita, Alexandra Herlo, Adelina Marinescu, Elena Voichita Lazureanu, Talida Georgiana Cut

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Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network by Mengjuan Xu, Xiang Chen, Yuwen Ruan, Xu Zhang

“…The ablation experiments show that each functional module of the proposed CNN-MSTGCN network has played a more or less positive role in improving the performance of EMG pattern recognition. The user-independent recognition experiments and the transfer learning-based cross-user recognition experiments verify the advantages of the proposed CNN-MSTGCN network in improving recognition rate and reducing user training burden. …”
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