Clinical Study on the Effects of Total Hip Arthroplasty Assisted by Virtual Planning Combined With Intraoperative Navigation Templates by Haotian Zhu, Jiayi Wu, Kai Cheng, Han Yan, Junjun Liang, Yunjin Long, Shaoxing Fan, Yadi Zhang, Huanwen Ding

“…The study included 42 patients in the traditional method group, who underwent preoperative planning and surgical procedures according to traditional methods; and 32 patients in the digital assistance group, who used computer‐assisted virtual preoperative planning and three‐dimensional printed personalized navigation templates to assist in the surgery. …”
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Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing by Bernis Sütçübaşı, Tuğçe Ballı, Barış Metin, Emine Elif Tülay

“…The mean power amplitudes of event-related potentials (ERP), including the P200, P300, early, middle, and late components of the late positive potential (LPP), were computed, along with band power features, and used as features for classifiers. …”
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The Role of [18F]FDG PET Imaging for the Assessment of Pulmonary Lymphangitic Carcinomatosis: A Comprehensive Narrative Literature Review by Francesco Dondi, Pietro Bellini, Michela Cossandi, Luca Camoni, Roberto Rinaldi, Gian Luca Viganò, Francesco Bertagna

“…<b>Methods</b>: This comprehensive narrative review evaluates the role of [18F]fluorodeoxyglucose ([18F]FDG) positron emission tomography (PET) imaging in assessing PLC. …”
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Postoperative dizziness after cochlear implant surgery: can it be caused by air? by Manuel Christoph Ketterer, Friederike Everad, Niklas Lützen, Ann-Kathrin Rauch, Antje Aschendorff, Susan Arndt, Till F. Jakob

“…However, postoperative imaging has not yet been specifically evaluated with special focus on vertigo. The aim of this study is to assess the incidence and causes of new-onset, acute postoperative vertigo following CI surgery using cone beam computed tomography (CBCT).Materials and methodsThis is a retrospective study involving ten patients who experienced postoperative dizziness and ten matched controls without dizziness. …”
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Integrated single-cell and bulk transcriptomic analysis identifies a novel macrophage subtype associated with poor prognosis in breast cancer by Qing Wang, Yushuai Yu, Liqiong Ruan, Mingyao Huang, Wei Chen, Xiaomei Sun, Jun Liu, Zirong Jiang

“…A machine learning-based predictive model was developed to evaluate the prognostic significance of TAM-related gene expression profiles. …”
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Retrievability of Fractured Abutment Screws and Damage to Implant–Abutment Connections: An In Vitro Comparative Analysis of Conventional vs. Drilling Techniques by Paloma Martínez-Alcaraz, Javier Flores-Fraile, Rubén Agustín-Panadero, Gisela Senent-Vicente, Cristina Gómez-Polo, Silvia de la Cruz-Jiménez, Álvaro Zubizarreta-Macho, Ana Belén Lobo Galindo

“…This study aimed to evaluate the retrievability and potential damage to implant–abutment connections caused by fractured abutment screw removal using conventional and drilling techniques. …”
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Advancing soil-structure interaction (SSI): a comprehensive review of current practices, challenges, and future directions by Imtiyaz Akbar Najar, Raudhah Ahmadi, Akeem Gbenga Amuda, Raghad Mourad, Neveen El Bendary, Idawati Ismail, Nabilah Abu Bakar, Shanshan Tang

“…Additionally, the review discusses recent innovations, including the application of machine learning and advanced computational tools, and their potential to enhance the accuracy and efficiency of SSI analysis. …”
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Persistent Gaps and Errors in Reference Databases Impede Ecologically Meaningful Taxonomy Assignments in 18S rRNA Studies: A Case Study of Terrestrial and Marine Nematodes by Alejandro De Santiago, Tiago José Pereira, Timothy John Ferrero, Natalie Barnes, Delphine Lallias, Simon Creer, Holly M. Bik

“…Additionally, the choice of bioinformatics parameters and computational algorithms can further affect the accuracy of eDNA taxonomy assignments. …”
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Shear and flexural performance of reinforced geopolymer concrete beams cured under ambient and oven conditions with environmentally friendly waste steel tire wire additives by Yasin Onuralp Özkılıç, Ali İhsan Çelik, Ceyhun Aksoylu, Memduh Karalar, Md Azree Othuman Mydin, Essam Althaqafi, Fatih Yılmaz, Osman Ahmed Umiye

“…The research used 100 mm and 270 mm stirrup spacings and changed GBFS and WSW with 0%, 10%, 20%, and 1%, 2%, and 3%, respectively. To evaluate flexural and shear strength of reinforced GPC, 100 × 150 × 1000 mm samples were made. …”
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Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings by Yijie Qian, Hongying Pan, Jun Chen, Hongyang Hu, Mei Fang, Chen Huang, Yihong Xu, Yang Gao

“…Given the rapid advancements in computer technology, we aimed to develop an interpretable artificial intelligence (AI) model for predicting DRPI, utilizing SHAP (SHapley Additive exPlanations) to enhance the model’s transparency and provide insights into feature importance. …”
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Lower-Complexity Multi-Layered Security Partitioning Algorithm Based on Chaos Mapping-DWT Transform for WA/SNs by Tarek Srour, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Ahmed A. F. Youssef, Ali M. El-Rifaie

“…The chaos 2D baker map is utilized due to its high secret key managing flexibility and high sensitivity to initial conditions and plaintext dimensions. Several computer experiments are demonstrated to evaluate the robustness, reliability, and applicability of the proposed complexity-efficient crypto-system algorithm in the presence of various attacks. …”
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A novel brain MRI classification framework integrating tuned single scale retinex and empirical wavelet entropy features by Paravathanani Rajendra Kumar, Krishna Prakash, Buraga Ram Sai Teja, Kota Akhil Manoj, Adi Bhuvaneswar, Divvela David Syam Kumar, Shonak Bansal, Sandeep Kumar, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…The model was evaluated on a binary-class brain MRI dataset comprising 280 images sourced from the Harvard Medical School and Kaggle repositories. …”
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Emergency interventional endovascular treatment for early disorder of arterial blood flow in the liver graft by B. B. Gegenava, S. A. Kurnosov, Ya. G. Moysyuk, N. N. Vetsheva, A. A. Ammosov

“…The timing, indications and choice of treatment methods require clarification.Objective. To evaluate the safety and efficacy of emergency X-ray endovascular interventions for arterial complications in the early period after liver transplantation.Material and methods. …”
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Factors associated with interstitial lung disease in patients with rheumatoid arthritis by Benyapa Suppa-Udom, Supparerk Disayabutr, Suwimon Wonglaksanapimon, Krittachat Butnian, Wanruchada Katchamart

“…Chest radiography (CXR) was employed for ILD screening, and suspected cases were further evaluated using high-resolution computed tomography (HRCT) and pulmonary function tests. …”
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Impact of respiratory training combined with electrical phrenic nerve stimulation on pulmonary and trunk function in individuals who have recently experienced a stroke by Yan-Fang Sui, Zhen-Hua Song, Jing-Qin Shi, Shan-Shan Wang, Bin-Bin Li, Liang-Qian Tong

“…Each group comprised 80 patients. To evaluate the trunk function and balance before and after the treatment, the Sheikh Trunk Control Scale, Berg Balance Scale (BBS), and Balance Feedback Training Device were utilized. …”
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YLOMF: You Look Once for Multi-Feature&#x2014;A Multi-Feature Multi-Task Network for Intelligent Real-Time Perception in Autonomous Driving by B. N. Anoop, S. K. Abhilash, Venu Madhav Nookala, S. Prita, S. Raghavendra

“…Trained on the Karlsruhe Institute of Technology and Toyota Technological Institute (KITTI) dataset and evaluated on Berkeley Deep Drive Dataset (BDD100K), Indian Driving Dataset (IDD), and Audi Autonomous Driving Dataset (A2D2), YLOMF exhibits robust cross-domain generalization. …”
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The development of an attention mechanism enhanced deep learning model and its application for body composition assessment with L3 CT images by Liang Zhang, Jiao Li, Zhi Yang, Jun Yan, Lin Zhang, Long-bo Gong

“…Abstract Body composition assessment is very useful for evaluating a patient’s status in the clinic, but recognizing, labeling, and calculating the body compositions would be burdensome. …”
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Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses by Ruiqi Ma, Qian Cheng, Jing Yao, Zhiyu Peng, Mingxu Yan, Jie Lu, Jingjing Liao, Lejin Tian, Wenjun Shu, Yunqiu Zhang, Jinghan Wang, Pengfei Jiang, Weiyi Xia, Xiaofeng Li, Lu Gan, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Xiawei Wang, Xintong Lin, Haifeng Chen, Weifang Zhu, Dehui Xiang, Baoqing Nie, Jingtao Wang, Jie Guo, Kang Xue, Hongguang Cui, Jinwei Cheng, Xiangjia Zhu, Jiaxu Hong, Fei Shi, Rui Zhang, Xinjian Chen, Chen Zhao

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Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh by Mosaraf Hosan Nishat, Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Syed Nahin Hossain, Amimul Ahsan, M. M. El-Sergany, Md. Shafiquzzaman, Monzur Alam Imteaz, Mohammad T. Alresheedi

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Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

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