Acoustic emission detection and defect identification method for micro-leakage in natural gas pipeline valves by Lizhen ZHANG, Wen'ao WANG

“…To this end, it is imperative to develop an effective method for detecting and identifying micro-leakage defects. Methods An acoustic emission detection experimental setup was initially established targeting valve micro-leakage, with three pressure settings of 0.2 MPa, 0.4 MPa, and 0.6 MPa. …”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…The comparison results showed that the proposed method has a better fault detection effect, significantly reducing the FAR. Specifically, the FDR of the proposed method in the state subspace is 100%, which is higher than that of the traditional CVA and centralized PLS–LSTM–CVA methods. …”
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TPDTNet: Two-Phase Distillation Training for Visible-to-Infrared Unsupervised Domain Adaptive Object Detection by Siyu Wang, Xiaogang Yang, Ruitao Lu, Shuang Su, Bin Tang, Tao Zhang, Zhengjie Zhu

“…Enhanced domain data are fed into the teacher network to initialize the weights and produce pseudolabels. Next, to address small remote sensing target detection tasks, we construct a multidimensional progressive feature fusion detection framework, which initially fuses two adjacent low-level feature maps and then progressively incorporates high-level features to enhance the quality of fusing nonadjacent layer features. …”
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Development and Application of a Portable Environmental DNA Test for the Detection of Rafetus swinhoei in Viet Nam by Tracie A. Seimon, Nguyen Van Long, Minh Le, Timothy E. M. McCormack, Tham Thi Nguyen, Hanh Ngo, Nguyen Tai Thang, Thuy Hoang, Steven G. Platt, Hoang Van Ha, Nguyen Van Trong, Brian Horne, Colleen A. Barrett, Denise McAloose, Paul P. Calle

“…Species‐specific quantitative polymerase chain reaction (qPCR) testing can be used to detect eDNA in samples collected from the environment. eDNA trials to detect R. swinhoei were initiated by the Asian Turtle Program and Washington State University in 2013. …”
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Ensemble deep learning and anomaly detection framework for automatic audio classification: Insights into deer vocalizations by Salem Ibrahim Salem, Sakae Shirayama, Sho Shimazaki, Kazuo Oki

“…Our investigation assessed three state-of-the-art deep learning models, ResNet50, MobileNetV2, and EfficientNet-B2, considering various hyperparameter configurations to optimize the performance. …”
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ACHIEVEMENT OF MINIMAL DISEASE ACTIVITY AND PROGRESSION OF RADIOGRAPHIC CHANGES IN EARLY PSORIATIC ARTHRITIS ONE YEAR AFTER INITIATION OF TREATMENT IN «TREAT TO TARGET» STRATEGY (P... by E. Yu. Loginova, T. V. Korotaeva, A. V. Smirnov, A. D. Koltakova, E. L. Nasonov

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Genomics-based timely detection of dengue virus type I genotypes I and V in Uruguay by Noelia Morel, Marta Giovanetti, Vagner Fonseca, Analía Burgueño, Mauricio Lima, Emerson Castro, Natália R. Guimarães, Felipe C.M. Iani, Victoria Bormida, Maria Noel Cortinas, Viviana Ramas, Leticia Coppola, Ana I. Bento, Alexander Rosewell, Leticia Franco, Jairo Mendez Rico, José Lourenço, Luiz Carlos Junior Alcantara, Hector Chiparelli

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Measurement of neutrino oscillation parameters with the first six detection units of KM3NeT/ORCA by The KM3NeT collaboration, S. Aiello, A. Albert, A. R. Alhebsi, M. Alshamsi, S. Alves Garre, A. Ambrosone, F. Ameli, M. Andre, L. Aphecetche, M. Ardid, S. Ardid, H. Atmani, J. Aublin, F. Badaracco, L. Bailly-Salins, Z. Bardačová, B. Baret, A. Bariego-Quintana, Y. Becherini, M. Bendahman, F. Benfenati, M. Benhassi, M. Bennani, D. M. Benoit, E. Berbee, V. Bertin, S. Biagi, M. Boettcher, D. Bonanno, A. B. Bouasla, J. Boumaaza, M. Bouta, M. Bouwhuis, C. Bozza, R. M. Bozza, H. Brânzaş, F. Bretaudeau, M. Breuhaus, R. Bruijn, J. Brunner, R. Bruno, E. Buis, R. Buompane, J. Busto, B. Caiffi, D. Calvo, A. Capone, F. Carenini, V. Carretero, T. Cartraud, P. Castaldi, V. Cecchini, S. Celli, L. Cerisy, M. Chabab, A. Chen, S. Cherubini, T. Chiarusi, M. Circella, R. Cocimano, J. A. B. Coelho, A. Coleiro, A. Condorelli, R. Coniglione, P. Coyle, A. Creusot, G. Cuttone, R. Dallier, A. De Benedittis, B. De Martino, G. De Wasseige, V. Decoene, I. Del Rosso, L. S. Di Mauro, I. Di Palma, A. F. Díaz, D. Diego-Tortosa, C. Distefano, A. Domi, C. Donzaud, D. Dornic, E. Drakopoulou, D. Drouhin, J.-G. Ducoin, R. Dvornický, T. Eberl, E. Eckerová, A. Eddymaoui, T. van Eeden, M. Eff, D. van Eijk, I. El Bojaddaini, S. El Hedri, V. Ellajosyula, A. Enzenhöfer, G. Ferrara, M. D. Filipović, F. Filippini, D. Franciotti, L. A. Fusco, S. Gagliardini, T. Gal, J. García Méndez, A. Garcia Soto, C. Gatius Oliver, N. Geißelbrecht, E. Genton, H. Ghaddari, L. Gialanella, B. K. Gibson, E. Giorgio, I. Goos, P. Goswami, S. R. Gozzini, R. Gracia, C. Guidi, B. Guillon, M. Gutiérrez, C. Haack, H. van Haren, A. Heijboer, L. Hennig, J. J. Hernández-Rey, W. Idrissi Ibnsalih, G. Illuminati, D. Joly, M. de Jong, P. de Jong, B. J. Jung, G. Kistauri, C. Kopper, A. Kouchner, Y. Y. Kovalev, V. Kueviakoe, V. Kulikovskiy, R. Kvatadze, M. Labalme, R. Lahmann, M. Lamoureux, G. Larosa, C. Lastoria, A. Lazo, S. Le Stum, G. Lehaut, V. Lemaître, E. Leonora, N. Lessing, G. Levi, M. Lindsey Clark, F. Longhitano, F. Magnani, J. Majumdar, L. Malerba, F. Mamedov, J. Mańczak, A. Manfreda, M. Marconi, A. Margiotta, A. Marinelli, C. Markou, L. Martin, M. Mastrodicasa, S. Mastroianni, J. Mauro, G. Miele, P. Migliozzi, E. Migneco, M. L. Mitsou, C. M. Mollo, L. Morales-Gallegos, A. Moussa, I. Mozun Mateo, R. Muller, M. R. Musone, M. Musumeci, S. Navas, A. Nayerhoda, C. A. Nicolau, B. Nkosi, B. Ó Fearraigh, V. Oliviero, A. Orlando, E. Oukacha, D. Paesani, J. Palacios González, G. Papalashvili, V. Parisi, E. J. Pastor Gomez, A. M. Păun, G. E. Păvălaş, S. Peña Martínez, M. Perrin-Terrin, V. Pestel, R. Pestes, P. Piattelli, A. Plavin, C. Poirè, V. Popa, T. Pradier, J. Prado, S. Pulvirenti, C. A. Quiroz-Rangel, N. Randazzo, S. Razzaque, I. C. Rea, D. Real, G. Riccobene, J. Robinson, A. Romanov, E. Ros, A. Šaina, F. Salesa Greus, D. F. E. Samtleben, A. Sánchez Losa, S. Sanfilippo, M. Sanguineti, D. Santonocito, P. Sapienza, J. Schnabel, J. Schumann, H. M. Schutte, J. Seneca, I. Sgura, R. Shanidze, A. Sharma, Y. Shitov, F. Šimkovic, A. Simonelli, A. Sinopoulou, B. Spisso, M. Spurio, D. Stavropoulos, I. Štekl, S. M. Stellacci, M. Taiuti, Y. Tayalati, H. Thiersen, S. Thoudam, I. Tosta e Melo, B. Trocmé, V. Tsourapis, A. Tudorache, E. Tzamariudaki, A. Ukleja, A. Vacheret, V. Valsecchi, V. Van Elewyck, G. Vannoye, G. Vasileiadis, F. Vazquez de Sola, A. Veutro, S. Viola, D. Vivolo, A. van Vliet, E. de Wolf, I. Lhenry-Yvon, S. Zavatarelli, A. Zegarelli, D. Zito, J. D. Zornoza, J. Zúñiga, N. Zywucka

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Detection of failures in HV surge arrester using chaos pattern with deep learning neural network by Chun‐Chun Hung, Meng‐Hui Wang, Shiue‐Der Lu, Cheng‐Chien Kuo

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INFLUENCE OF THE ORIGINAL STATE OF THE LEFT VENTRICLE AND TECHNICAL FEATURES OF CORONARY ARTERY BYPASS SURGERY ON THE FUNCTIONAL SAFETY OF GRAFTS by N. S. Lisyutenko, N. A. Morova, V. N. Tsekhanovich

“…The goal of research is to study the influence of the initial state of left ventricular myocardium, as well as the technical features of the coronary artery bypass graft (CABG) on the prognosis of the functioning of coronary shunts.Materials and methods. 46 men, who had CABG for stable angina class III, were examined. 23 of them had 2 type diabetes mellitus (DM2), 23 of them did not have carbohydrate metabolism disorders. …”
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Comparison of multi-state Markov models for cancer progression with different procedures for parameters estimation. An application to breast cancer by Leonardo Ventura, Giulia Carreras, Donella Puliti, Eugenio Paci, Marco Zappa, Guido Miccinesi

“…<p><strong>Background:</strong> the knowledge of sojourn time (the duration of the preclinical screen-detectable period) and screening test sensitivity is crucial for understanding the disease progression and the effectiveness of screening programmes. …”
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Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester by Jiaojiao Xu, Tiantian Jing, Meng Fang, Pengcheng Li, Zhong Tang

“…The complexity and heterogeneity of vibration signals in these machines present a considerable challenge for the timely and accurate detection of bolt loosening. This paper proposes a novel methodology for identifying and diagnosing vibrating screen bolt failure states under multiple excitation conditions, specifically tailored for the 4LZY-1.8(PRO688Q) combine harvester. …”
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The Impact of Pelvic Floor Muscle Strengthening on the Functional State of Women Who Have Experienced OASIS After Childbirth by Atėnė Simanauskaitė, Justina Kačerauskienė, Dalia Regina Railaitė, Eglė Bartusevičienė

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Surface defect detection on rolling mill rolls: a transfer learning approach with improved YOLOv5 by Yulong Hu, Wen Peng, Shiyi Chen, Jinyun Liu, Xudong Li, Jie Sun, Dianhua Zhang

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Windows Malware Detection via Enhanced Graph Representations with Node2Vec and Graph Attention Network by Nisa Vuran Sarı, Mehmet Acı, Çiğdem İnan Acı

“…Therefore, developing innovative detection frameworks that can effectively analyze and interpret these complex patterns has become critical. …”
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Scoping Review of Disease Surveillance Practices and Veterinary Care Use in Small-Scale Swine Farms in the United States by Rachel A. Schambow, Michelle L. Schultze, Andres M. Perez

“…The United States is currently free of many important FADs of swine, and many preparedness initiatives have raised awareness amongst the commercial, intensive swine industry. …”
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Shared decision-making for pediatric acute otitis media in the United States: a randomized emergency department trial by Jana L. Anderson, Lucas Oliveira J. E. Silva, Erik P. Hess, Derek E. Vanmeter, Aidan Mullan, Juan P. Brito, Ian G. Hargraves, Fernanda Bellolio

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Providing a fault detection method for the occurrence of faults in DC microgrids, distributed generations, and electrical vehicles by Alireza Sistani, Seyed Amir Hosseini, Vahideh Sadat Sadeghi, Behrooz Taheri

“…Therefore, the purpose of this paper is to create a new fault detection method in islanded DC microgrids. In this method, the current signal samples are entered into a chaotic state, and using the feature of sensitivity to the initial conditions of this method, it accurately identifies the fault. …”
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A dual-adaptive stochastic reinforcement chimp optimization algorithm for fire detection and multidimensional problem solving by Ziyang Zhang, Lingye Tan, Diego Martín, Leren Qian, Mohammad Khishe, Pradeep Jangir

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Innovations in animal health: artificial intelligence-enhanced hematocrit analysis for rapid anemia detection in small ruminants by Aftab Siddique, Sudhanshu S. Panda, Sophia Khan, Seymone T. Dargan, Savana Lewis, India Carter, Jan A. Van Wyk, Ajit K. Mahapatra, Eric R. Morgan, Thomas H. Terrill

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