Assessment of Hyoid Bone Position and its Correlation With Airway Dimensions in Different Sagittal Malocclusions Using Cone Beam Computed Tomography by Priya Singh, Supriya Nambiar, Asavari Desai, Nidhin Philip, Ravikiran Ongole

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Estimating cover image for universal payload region detection in stego images by Punam Bedi, Anuradha Singhal

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Diagnostic validity of lung ultrasonogram in comparison with high-resolution computed tomography in interstitial lung disease associated with connective tissue disease by P V Lisha, N Safreena Mohamed, T P Rajagopal, Rennis Davis, Thomas Vadakkan Devassy

“…A LUS score of 39.5 or above has 83% sensitivity and 100% specificity (Youden index of 0.83, P = 0.001) for predicting a Class V HRCT pattern. Conclusions: There was a significant correlation between ILD with reticular pattern and honeycombing on HRCT and higher LUS B-line scores. …”
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Computational Fluid Dynamics Prediction of the Sea-Keeping Behavior of High-Speed Unmanned Surface Vehicles Under the Coastal Intersecting Waves by Xiaobin Hong, Guihong Zheng, Ruimou Cai, Yuanming Chen, Guoquan Xiao

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EEG feature extraction methods in motor imagery-based brain-computer interfaces: a systematic review and network meta-analysis by Jiahao Cheng, Peng Chen, Yufeng Deng, Yi Luo, Fengyan Chen, Jiwang Ma, Fei Wang, Fen Xu, Sheng Guo, X. San Liang, Tao Zhang

“…Background: Brain-computer interfaces (BCIs) enable direct interaction between human cognition and external devices by interpreting brain activity via electroencephalogram (EEG) signals. …”
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Comparative fractal analysis of mandibular condyles in temporomandibular disorder and non-temporomandibular disorder patients using cone-beam computed tomography by Kavali Laxmi Swetha, Sairam Vankadara, Nerrugatti Shiny chelshiya, Bhaandhavi Akula

“…Aim & objective: Fractal analysis was used in this study to examine the trabecular pattern of the mandibular condyle, with the objective of assessing fractal dimension changes in mandibular condyles for TMD diagnosis. …”
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Predictive value of the combined use of computed tomography perfusion imaging and blood pressure levels for the prognosis of patients with acute ischemic stroke by Yunxia Qi, Bolin Liu, Yiying Wu, Yifeng Peng

“…All patients underwent computed tomography perfusion imaging, and image post-processing was performed. …”
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Pancreatic solid pseudopapillary neoplasm: clinical, computed tomography and endoscopic ultrasound features unraveling a rare tumor with pathologic correlation by Fatmaelzahraa Abdelfattah Denewar, Ahmed E. Eladl, Fatma Mohamed Sherif, Omar Abdallah, Elsayed Ghoneem, Khadija Denewar, Eman Fouad Omran, Zainab A. Ramadan

“…We aimed to elucidate distinctive imaging features of SPN on computed tomography (CT) and endoscopic ultrasound (EUS) with pathologic correlation, enabling radiologists to better recognize and distinguish them from other pancreatic lesions. …”
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Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study by Kuan-Chen Li, Ying-Han Lee, Yu-Hsien Lin

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Design of an Iterative AI-Driven Latency Prediction and QoS-Aware Task Scheduling in Mobile Edge Computing: A Federated and Reinforcement Learning Process by Sharma Garima, Khare Rashi, Kulkarni Neha, Pagare Sanjay, Tiwari Vanshika

“…The tremendous upsurge of latency-sensitive applications in Mobile Edge Computing (MEC), thus requiring an efficient task scheduler depending on precise and adaptive latency prediction. …”
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IMPLEMENTATION AND COMPARISON IN USING STATE PATTERN ON MAIN CHARACTER MOVEMENT (CASE STUDY : POCONG JUMP VIDEO GAME VERSION 1.0) by Sanriomi Sintaro, Deiby Tineke Salaky, Luther Alexander Latumakulita, Mahardika Inra Takaendengan, Bernard Bernard, Ade Surahman, Noorul Islam

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What drives weight status among female university students? A machine learning analysis of sociodemographic, dietary, and lifestyle determinants by Radwan Qasrawi, Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, Leila Cheikh Ismail, Ayesha Al Dhaheri, Sharifa Alblooshi, Razan Abu Ghoush, Stephanny Vicuna Polo, Malak Amro, Suliman Thwib, Ghada Issa, Haleama Al Sabbah

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Analysis of methods for ischemic stroke region recognition on CT slices by Aleksandras Krylovas, Andrius Ušinskas, Virginija Gaigalaitė

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Gelatin–Organic Acid‐Based Biodegradable Batteries for Stretchable Electronics by Junzhi Liu, Gregory Lazaris, Jinhyuk Lee, Sharmistha Bhadra

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Abnormal growth of a pleomorphic leiomyosarcoma originating from the mesenteric vein associated with poor outcome after curative-intent resection: a case report by Masaya Otabe, Tomoyuki Abe, Yusuke Sumi, Shuji Yonehara, Toshio Noriyuki, Masahiro Nakahara

“…Abstract Background A leiomyosarcoma (LMS) is a rare tumor that mainly originates from the urinary tract and digestive system; however, non-visceral organ-derived patterns are rare. Herein, we report that a vessel-derived pleomorphic LMS (PLMS) originating from the mesenteric vein has a poor prognosis even after curative-intent surgery. …”
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LeaData a novel reference data of leather images for automatic species identification by Anjli Varghese, Malathy Jawahar, A. Amalin Prince

“…This big data spans leather images with theoretically ideal and practically non-ideal grain patterns. It also includes images of grain patterns varying over different body parts. …”
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Leveraging edge computing and deep learning for the real-time identification of bean plant pathologiesBean Plant Pathologies Dataset for Deep Learning Tasks by Andrew Katumba, Wayne Steven Okello, Sudi Murindanyi, Joyce Nakatumba-Nabende, Moses Bomera, Ben Wycliff Mugalu, Amos Acur

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Child-therapist acoustic synchrony and response trajectories in autism intervention: an AI-based automated analysis using dynamic systems theory and affective computing by Giulio Bertamini, Silvia Perzolli, Arianna Bentenuto, Cesare Furlanello, Mohamed Chetouani, David Cohen, Paola Venuti

“…This study employed an AI-based, fully automated computational pipeline to analyze child-clinician interpersonal acoustic synchrony through the lens of complex dynamic systems and affective computing. …”
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Quantum annealing feature selection on light-weight medical image datasets by Merlin A. Nau, Luca A. Nutricati, Bruno Camino, Paul A. Warburton, Andreas K. Maier

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