Sex differences in patients with working diagnosis of myocardial infarction with nonobstructive coronary arteries (MINOCA) by Marek Milewski, Aneta Desperak, Maciej Koźlik, Marta Bujak, Marek Gierlotka, Krzysztof Milewski, Krystian Wita, Zbigniew Kalarus, Joanna Fluder-Włodarczyk, Pawel E. Buszman, Jacek Piegza, Mamas A. Mamas, Wojciech Wojakowski, Pawel Gasior

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A Novel Fault Diagnosis Method for Motor Bearing Based on DTCWT and AFSO-KELM by Yan Lu, Peijiang Li

“…Aiming at the defects of wavelet transform-based feature extraction and extreme learning machine-based classification, a novel fault diagnosis method for motor bearing, based on dual tree complex wavelet transform and artificial fish swarm optimization-kernel extreme learning machine (DTCWT-AFSO-KELM), is proposed in this paper. …”
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Fault Diagnosis of Gearbox in Multiple Conditions Based on Fine-Grained Classification CNN Algorithm by Pengcheng Jiang, Hua Cong, Jing Wang, Dongsheng Zhang

“…The use of the convolutional neural network for fault diagnosis has been a common method of research in recent years. …”
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A Pair of Fluorescent Probes Enabling Precise Diagnosis of Liver Cancer by Complementary Imaging by Min Gao, Sun Hyeok Lee, Haw-Young Kwon, Larissa Miasiro Ciaramicoli, Eunsol Jo, Young Hyun Yu, Fengming Li, Beomsue Kim, Kyungtae Hong, Jun-Seok Lee, Namhui Kim, Yoojin Oh, Chun Young Im, Chris Soon Heng Tan, Hyung-Ho Ha, Young-Tae Chang

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Recurrence of Primary Vascular Leiomyosarcoma Five Years after Initial Diagnosis in the Lower Extremity by Hilal Erinanc, Mehmet Ozulku, Aysen Terzi

“…In this report, we present a case of primary vascular leiomyosarcoma, arising from the short saphenous vein, with symptoms mimicking thrombus in the initial diagnosis. The diagnosis of leiomyosarcomas was confirmed by standard H&E staining and immunohistochemical staining. …”
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Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Bearing Fault Diagnosis by Jun Shuai, Changqing Shen, Zhongkui Zhu

“…Numerous studies on fault diagnosis have been conducted in recent years because the timely and correct detection of machine fault effectively minimizes the damage resulting in the unexpected breakdown of machineries. …”
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A Novel Fault Diagnosis Method for Diesel Engine Based on MVMD and Band Energy by Cheng Gu, Xinyong Qiao, Ying Jin, Yanbin Liu

“…Vibration signal, as an important means for diesel engine condition detection and fault diagnosis, has attracted attention for many years. …”
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Fault diagnosis method based on time domain weighted data aggregation and information fusion by Yu Zhang, Wen Jiang, Xinyang Deng

“…Fault diagnosis of equipment is a key issue in the industrial field, and it is essential to keep abreast of equipment status. …”
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Unexpected Diagnosis of Both Adenocarcinoma of the Colon and Metastatic Lobular Carcinoma of the Breast in the Gastrointestinal Tract by Tegan Miller, Carol Ross, Haitham Al-Rawi, Barry Taylor, Mohammad Al-Jafari

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Handing Tolerance Problem in Fault Diagnosis of Linear-Analogue Circuits with Accurate Statistics Approach by Xin Gao, HouJun Wang, Zhen Liu

“…The tolerance handling in analogue fault diagnosis is a challenging problem. Although lots of methods are effective for fault diagnosis, it is hard to apply them to the case with tolerance influence. …”
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Unilateral Fusion of Maxillary Lateral Incisor: Diagnosis Using Cone Beam Computed Tomography by Iury Oliveira Castro, Carlos Estrela, Vinícius Rezende Souza, Lawrence Gonzaga Lopes, João Batista de Souza

“…The periapical radiography did not provide enough information for the differential diagnosis due to the inherent limitations of this technique. …”
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The Usefulness of the Pressure Algometer in the Diagnosis and Treatment of Orofacial Pain Patients: A Systematic Review by Agata Kamińska, Bartosz Dalewski, Ewa Sobolewska

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A Brief Review on Diagnosis of Foot-and-Mouth Disease of Livestock: Conventional to Molecular Tools by Neeta Longjam, Rajib Deb, A. K. Sarmah, Tilling Tayo, V. B. Awachat, V. K. Saxena

“…In this paper we have outlined various diagnostic approaches from old to new generation in a nutshell. Presently FMD diagnosis is being carried out using techniques such as Virus Isolation (VI), Sandwich-ELISA (S-ELISA), Liquid-Phase Blocking ELISA (LPBE), Multiplex-PCR (m-PCR), and indirect ELISA (DIVA), and real time-PCR can be used for detection of antibody against nonstructural proteins. …”
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Evaluation of Patients’ Received Doses in Chest CT Scan Protocols for COVID-19 Diagnosis by Sadegh Shurche, Tinoosh Almasi, Maryam Tima, Nima Rostampour

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Motion-Genetic Testing is Useful in the Diagnosis of Nonhereditary Pancreatic Conditions: Arguments Against the Motion by Jonathan A Cohn

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Retracted: Correlation Analysis of Japanese Literature and Psychotherapy Effects Based on an Equation Diagnosis Algorithm by Occupational Therapy International

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Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems by Khaled Chahine

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Antegrade Endobiliary Forceps Biopsy Improves Diagnosis of Klatskin Tumor Compared to Brush Biopsy by A. V. Kozlov, P. G. Tarazov, A. A. Polikarpov, A. V. Moiseenko, A. I. Urbansky, M. V. Yutkin, G. M. Yakshieva, D. A. Granov

“…After successful PTBD, the diagnosis was verified by antegrade access. 74 procedures were performed: brush (n = 36; 48.6 %) or forceps biopsies (n = 38; 51.4 %).Results. …”
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Fault Diagnosis Method of Distribution Equipment Based on Hybrid Model of Robot and Deep Learning by Shan Rongrong, Ma Zhenyu, Ye Hong, Lin Zhenxing, Qiu Gongming, Ge Chengyu, Lu Yang, Yu Kun

“…In view of the poor effect of most fault diagnosis methods on the intelligent recognition of equipment images, a fault diagnosis method of distribution equipment based on the hybrid model of robot and deep learning is proposed to reduce the dependence on manpower and realize efficient intelligent diagnosis. …”
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Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

“…In this context, some researchers have sought to develop machine learning models for bipolar disorder diagnosis. Nevertheless, the accuracy of these diagnoses remains a subject of controversy. …”
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