Comparison of cardiac magnetic resonance and speckle tracking echocardiography in cardiac evaluation of children with acute myocarditis with preserved left ventricular function by Fatos Alkan, Onur Bircan, Fatma Can, Yuksel Pabuscu, Senol Coskun

“…A significantly reduced left ventricular global longitudinal strain (LV-GLS) pattern was detected in 45.4% (n = 15) of patients, with an average LV-GLS value of -18.12% (± 3.5). …”
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Optical characterization of chiral three-dimensionally periodic photonic crystals fabricated by temporally periodic physical vapor deposition on two-dimensionally periodic substrat... by Ricardo A Fiallo, Mark W Horn, Akhlesh Lakhtakia

“…Before TP-PVD, the patterned substrates exhibited opal-like iridescence, and the optical characterization detected nonspecular transmission and Rayleigh–Wood anomalies, consistently with the mathematical predictions for 2D photonic crystals. …”
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A novel approach to retrieving the surface soil freeze/thaw state in the Qinghai-Tibetan Plateau using the seasonality of CYGNSS time series by Qi Liu, Shuangcheng Zhang, Zhongmin Ma, Xin Zhou, Tao Wang

“…Moreover, spatiotemporal analysis of QTP F/T dynamics shows prominent seasonal patterns, with topography-induced shielding delaying thawing in central QTP regions and freezing trends extending from low (28°N) to high latitudes (36°N). …”
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Incidental left paraaortic mass in a patient with gall bladder adenocarcinoma: A diagnostic challenge by Manali Bhatta, Sharma Paudel, Ongden Yonjen Tamang, Prajwal Dahal, Santosh Shrestha, Sabina Parajuli

“…Incidental adrenal masses are frequently detected due to the extensive use of cross-sectional imaging, with about 3% to 7% of adults estimated to have them. …”
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Spatial Distribution and Temporal Trends in the Daily Precipitation Concentration across the Yarlung Tsangpo River Basin: Eastern Himalaya of China by Mengtao Zhu, Meng Li, Chunyu Liu, Yinfei Wang, Jiqiu Li, Yungang Li

“…This study investigated the spatial patterns and trends of the daily precipitation concentration over the Yarlung Tsangpo River Basin using the concentration index (CI) and the Lorentz asymmetric coefficient (LAC). …”
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Neglected Avian Blood Parasites (Onchocercidae and Trypanosomatidae) in Migratory Passerines of the Temperate Zone, Eastern Baltic Region by Rasa Bernotienė, Tatjana Iezhova, Vytautas Eigirdas, Vytautas Jusys, Margarita Kazak, Rasa Binkienė

“…Passerine birds (n = 3335) of 19 species were caught and investigated for the presence of Trypanosomatidae and Onchocercidae parasites using the buffy coat method, microscopy and PCR in Ventės Ragas, Lithuania. Data on the spread patterns of these parasites are still lacking. The prevalences of <i>Trypanosoma</i> parasites in birds of different species varied from 2.2% to 36.1%, while the prevalences of Onchocercidae parasites varied from 0% to 17.3%. …”
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From light sensing to adaptive learning: hafnium diselenide reconfigurable memcapacitive devices in neuromorphic computing by Bashayr Alqahtani, Hanrui Li, Abdul Momin Syed, Nazek El-Atab

“…The reconfigurability and multifunctionality of MOSCap were used to integrate the device into a leaky integrate-and-fire neuron model within a spiking neural network to dynamically adjust firing patterns based on light stimuli and detect exoplanets through variations in light intensity.…”
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3D tooth identification for forensic dentistry using deep learning by Hamza Mouncif, Amine Kassimi, Thierry Bertin Gardelle, Hamid Tairi, Jamal Riffi

“…The 2D images are subsequently processed using a recurrent neural network (RNN) architecture, which effectively detects complex patterns essential for accurate classification, while its capability to manage sequential data is further augmented by fully connected layers specifically designed for this purpose. …”
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Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems by Santiago Alonso, Jesus Bobadilla, Fernando Ortega, Ricardo Moya

“…Academic research against shilling attacks has been focused in statistical approaches to detect the unusual patterns in user ratings. Nowadays, there is a growing research area focused on the design of robust machine learning methods to neutralize the malicious profiles inserted into the system. …”
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Global Trends and Action Items for the Prevention and Control of Emerging and Re-Emerging Infectious Diseases by Silvia De Gaetano, Elena Ponzo, Angelina Midiri, Giuseppe Mancuso, Daniele Filippone, Giovanni Infortuna, Sebastiana Zummo, Carmelo Biondo

“…Such systems must be designed to rapidly detect unusual and unexpected disease patterns, track and share information in real time, and rapidly mobilise global responses, which are the most important ways to effectively contain transmission.…”
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LC-QToF-MS Analysis of Stimulant Drugs and Their Metabolites in Wastewater During Football Games by Brandon J. Stamper, Krishna Chaturvedi, Bharathi Avula, Ji-Yeong Bae, Yan-Hong Wang, Kyle S. Bledsoe, Ikhlas A. Khan, Murrell Godfrey

“…Conclusion: The insights from this study can be utilized to monitor long-term drug use trends, providing local law enforcement agencies with relevant data on consumption patterns over time.…”
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Nothing as Practical as a Good Theory? The Theoretical Basis of HIV Prevention Interventions for Young People in Sub-Saharan Africa: A Systematic Review by Kristien Michielsen, Matthew Chersich, Marleen Temmerman, Tessa Dooms, Ronan Van Rossem

“…Interventions used theory to inform content (n=13), for evaluation purposes (n=4) or both (n=7). No patterns of differential effectiveness could be detected between studies using and not using theory, or according to whether a theory informed content, and/or evaluation. …”
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Risk factors of mild behavioral impairment: a systematic review by Song Lin Tang, Song Lin Tang, Ponnusamy Subramaniam, Ching Sin Siau, Agnes Shu Sze Chong, Fang Liu

“…Forty-one human studies meeting predefined inclusion criteria were selected through dual independent screening.ResultsFive key domains emerged: (1) Genetic susceptibility (APOE ε4 allele showing strongest association), (2) Motor system pathology (particularly Parkinsonian features), (3) Multisensory deficits (auditory impairment demonstrating bidirectional relationships), (4) Metabolic dysregulation (diabetes mellitus and frailty phenotypes), and (5) Neuroanatomical correlates (frontolimbic atrophy patterns on MRI). The interaction between genetic predisposition and environmental/lifestyle factors appears central to MBI pathogenesis.ConclusionMBI manifests as a multidimensional interface between molecular mechanisms and clinical phenomenology. …”
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Influence of Planetary Rotation on Supersonic Flow of Lava Planets: A Two-dimensional Horizontal Model Analysis by Zhuo-Yang Song, Feng Ding, Wanying Kang

“…The asymmetric component of supersonic flow is pivotal for future research on the observation of these atmospheres, flow patterns of the magma ocean currents driven by atmospheric winds, and deformation of the planetary shape over long timescales.…”
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Prediction models show differences in highly pathogenic avian influenza outbreaks in Japan and South Korea compared to Europe by Lene Jung Kjær, Carsten Thure Kirkeby, Anette Ella Boklund, Charlotte Kristiane Hjulsager, Anthony D. Fox, Michael P. Ward

“…The model included seasonality and covariates in both endemic and epidemic components and revealed consistent yearly seasonal patterns. This contrasts with previous modelling of European data where seasonality changed over time. …”
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In vivo RNA-seq and infection model reveal the different infection and immune characteristics of B. pertussis strains in China by Weilun Zuo, Weilun Zuo, Chen Wei, Meiyan He, Mengyao Zhang, Jiangli Liang, Xiao Ma, Na Gao, Qin Gu, Yan Ma, Jingyan Li, Shuyuan Liu, Yan Huang, Mingbo Sun, Li Shi

“…LC-MS/MS analysis and binding affinity detection allowed the identification of expression and antigenicity of pertactin. …”
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Comparative structural insights and functional analysis for the distinct unbound states of Human AGO proteins by Panos Kakoulidis, Eleni I. Theotoki, Vasiliki I. Pantazopoulou, Ioannis S. Vlachos, Ioannis Z. Emiris, Dimitrios J. Stravopodis, Ema Anastasiadou

“…We observed diverse conformational patterns at the post-transcriptional sites of the AGOs, except for AGO4. …”
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Deep Learning Model for Prediction of Dementia Severity based on EEG Signals by Noor Kamal Al-Qazzaz, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad

“…The analysis of the brain EEG-based dementia severity dataset suggests that AttEn could potentially serve as a biomarker for detecting dementia severity. AttEn can capture relevant patterns and features in the EEG data and may be indicative of the severity of dementia with LSTM RNN to differentiate patients with VD, patients with MCI and NC individuals. …”
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Effects of summer weather and heatwaves on wild boar activity by Justine Güldenpfennig, Niccolò Fattorini, Miloš Ježek, Kevin Morelle, Tomasz Podgórski

“…This suggests that studies about climate change impacts on wildlife behaviour should consider not only rising temperatures but also shifts in rainfall patterns. Additionally, this research shows the potential of remote-sensing technologies to monitor wildlife behaviour, particularly in challenging observational scenarios, offering valuable insights into the behavioural responses of wildlife in the face of a changing climate.…”
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Estimation of Flood Inundation Area Using Soil Moisture Active Passive Fractional Water Data with an LSTM Model by Rekzi D. Febrian, Wanyub Kim, Yangwon Lee, Jinsoo Kim, Minha Choi

“…Flood estimation using satellite observations with deep learning algorithms is effective in detecting flood patterns and environmental relationships that may be overlooked by conventional methods. …”
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