Mitochondrial genome of Bactrocera fruit flies (Tephritidae: Dacini): features, structure, and significance for diagnosis by Nathaly Lara Castellanos, Disna N. Gunawardana, Bede McCarthy, Puthigae Sathish, Sherly George, Dongmei Li

“…Of these, one real-time PCR assay targeting the ND2 gene proved to be the most specific and sensitive. It detects B. curvipennis specifically at the level of 1 copy/µL of target DNA. …”
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The significance of follow-up in patients with dysmorphic features: a case from clinical practice by Mariya Levkova, Milena Stoyanova, Mari Hachmeriyan

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Music Emotion Detection Using Hierarchical Sparse Kernel Machines by Yu-Hao Chin, Chang-Hong Lin, Ernestasia Siahaan, Jia-Ching Wang

“…In the first level, a set of acoustical features are extracted, and principle component analysis (PCA) is implemented to reduce the dimension. …”
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Polarization-Enhanced Multi-Target Underwater Salient Object Detection by Jiayi Song, Peikai Zhao, Jiangtao Li, Liming Zhu, Khian-Hooi Chew, Rui-Pin Chen

“…The proposed polarization-enhanced salient object detection network (PESODNet) employs a multi-polarization-parameter-guided, material-aware attention mechanism and a contrastive feature calibration unit, significantly enhancing its multi-material, multi-target detection capabilities in underwater scattering environments. …”
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River floating object detection with transformer model in real time by Chong Zhang, Jie Yue, Jianglong Fu, Shouluan Wu

“…Building upon this foundation, we introduce the LR-DETR, a lightweight evolution of RT-DETR for river floating object detection. This model incorporates the High-level Screening-feature Path Aggregation Network (HS-PAN), which refines feature fusion through a novel bottom-up fusion path, significantly enhancing its expressive power. …”
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A case of primary immunodeficiency with immune dysregulation: features of clinical manifestation and diagnostic difficulties by E. N. Serebryakova, T. V. Shilova, A. S. Kozhevnikov, E. I. Kilmukhametova

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Features of simple inflammation markers in assessing the plaque vulnerability in patients with acute coronary syndrome by A. N. Kovalskaya, G. R. Bikbaeva, D. V. Duplyakov, E. V. Savinova

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The Hound of the Baskervilles : Histoire, fantasme et genèse de la narration policière by Christophe Gelly

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Features of Surgical Correction of Spontaneous Luxation of the Complex “IOL Posterior Chamber – Capsular Bag” by O. P. Mishchenko, N. A. Senchenko, A. G. Shchuko

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Pneumococcal meningitis: clinical and epidemiological features, and circulating pathogens’ serotype distribution in Krasnoyarsk territory by G. P. Martynova, I. N. Protasova, I. A. Kutisсhheva, O. P. Ovchinnikova, N. A. Rokatansky, M. P. Konchakov

“…The features of pneumococcal sensitivity to antimicrobials must be considered when prescribing antibiotics.…”
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Features of the organizational concept of airspace management planning in the Russian Federation on the example of the Moscow airspace by V. K. Pechenezhsk, E. K. Chuvikovskaya

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Features of the arterial hypertension clinical course in patients with ischemic heart disease and atrial fibrillation. by M. I. Yalovenko, O. O. Khaniukov

“…Patients were divided into 2 groups: group 1 (n=42) consisted of patients with AH, IHD and permanent AF; group 2 (n=36) included patients with AH and IHD without heart rhythm disturbances. The analysis of the frequency of lesions of target organs in groups 1 and 2 showed that the III degree of hypertension was detected in 25 (59,5%) patients in group 1 and in 8 (22,2%) patients in group 2. …”
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ECG Paper Digitization and R Peaks Detection Using FFT by Ibraheam Fathail, Vaishali D. Bhagile

“…Manual ECG paper record analysis can be difficult and time-consuming. It is possible to digitally digitize these paper ECG recordings for automated analysis and diagnosis. …”
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Evaluation of the impact of Shigella virulence genes on the basis of clinical features observed in patients with shigellosis by Visnu Pritom Chowdhury, Ishrat Jahan Azmi, Md Ahshanul Haque, Mohammad Rafiqul Islam, Mahmuda Akter, Shahin Mahmud, Abu Syed Golam Faruque, Kaisar Ali Talukder

“…During the multivariate analysis, we found that instead of sen, the Shigella enterotoxin gene set along with several other virulence genes such as ipgA, icsB, ipgB1, spa15, and mxiC, were significantly influencing multiple clinical features relevant to shigellosis, including bloody stool, mucoid stool, and rectal straining. …”
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Regarding the Detection of Interstellar C4 and C5 Molecules by G. A. Galazutdinov, E. I. Kazanina, J. Krełowski

“…Despite this tough conclusion regarding the possibility of detecting the interstellar molecule C _4 , we also tried to find a link between known lines of C _5 at 4975 and 5109 Å and weak interstellar features. …”
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A hybrid model for detecting motion artifacts in ballistocardiogram signals by Yuelong Jiang, Han Zhang, Qizheng Zeng

“…Results This paper proposes and confirms through analysis that the proposed hybrid model exhibits exceptional accuracy in detecting motion artifacts in ballistocardiogram (BCG) signals. …”
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Associations between the SMARS score derived from CT and MRI with histopathological features in HCC by Daniele Romeo, Theresa Richter, Anne-Kathrin Höhn, Hans-Michael Tautenhahn, Daniel Seehofer, Uwe Scheuermann, Timm Denecke, Hans-Jonas Meyer

“…However, a systematic validation of this score is needed and it is unclear whether associations with histopathology features exist. The present study elucidates possible correlations between the SMARS score defined by CT and MRI images with immunohistochemistry features of the pathological specimens in a curatively treated HCC cohort. …”
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Epidemiological, demographic, social, clinical features of manifestations of system red lupus in patients in Kazakhstan by B. G. Issayeva, E. A. Aseeva, M. M. Saparbayeva, S. M. Issayeva, M. M. Kulshymanova, S. M. Kaiyrgali, M. P. Bizhanova, K. Zh. Nurgaliyev, N. S. Akhtaeva, B. A. Kulymbetova, K. K. Rysbekova, S. K. Solovyev

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An AI framework for counterattack detection and decision-making evaluation in football by Jiangyan Yang, Huanmin Ge, Yixiong Cui

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Research on Small Target Detection Algorithm for Autonomous Vehicle Scenarios by Sheng Tian, Kailong Zhao, Lin Song

“…Furthermore, the GC attention module is employed to mitigate background interference, thereby enhancing the average detection accuracy across all categories. Through data analysis, target detection at different scales and sampling rates is determined. …”
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