Effectiveness of Targeted Advisory Interventions in Enhancing Welfare on Dairy Farms by Susy Creatini, Cristina Roncoroni, Federica Salari, Iolanda Altomonte, Giovanni Brajon, Mina Martini

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A High-Performance and Lightweight Maritime Target Detection Algorithm by Shidan Sun, Zhiping Xu, Xiaochun Cao, Jiachun Zheng, Jiawen Yang, Ni Jin

“…Maritime surveillance video (MSV) target detection systems are important for maritime security and ocean economy. …”
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Factors associated with high probability of target blood pressure non-achievement in hypertensive patients by S. P. Zhemanyuk, V. V. Syvolap

“…Independent factors influencing the target blood pressure level pure reaching are the average diurnal DBP (OR = 47.8); variability of diurnal SBP (HS = 4.6); the maximum aggregation time of ADP-induced platelet aggregation (OR = 3.4). …”
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Machine Learning Framework for Conotoxin Class and Molecular Target Prediction by Duc P. Truong, Lyman K. Monroe, Robert F. Williams, Hau B. Nguyen

“…Predicting the target receptors of conotoxins, based solely on their amino acid sequence, remains a challenge due to the intricate relationships between structure, function, target specificity, and the significant conformational heterogeneity observed in conotoxins with the same primary sequence. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…It enhances multi-scale feature fusion capability via weighted feature fusion, significantly reducing parameter count while improving small target detection capability. Additionally, it designs a detection decoupling head with a multi-head attention mechanism to improve the issue of network complexity caused by convolutional layer redundancy, processes spatial dimensions to focus on capturing target features, reduces interference from irrelevant backgrounds, and enhances the accuracy of occluded target recognition.urthermore, it constructs a lightweight neural network with dual convolution (CDC), enhancing inter-channel information flow, improving model feature expression capability, and reducing model complexity. …”
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Multifunctional Indomethacin Conjugates for the Development of Nanosystems Targeting Cancer Treatment by Thiruchenthooran V, Świtalska M, Maciejewska G, Palko-Łabuz A, Bonilla-Vidal L, Wietrzyk J, Souto EB, Sánchez-López E, Gliszczyńska A

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Diagnosis value of targeted and metagenomic sequencing in respiratory tract infection by Yukun Kuang, Yukun Kuang, Weiping Tan, Weiping Tan, Chaohui Hu, Zehan Dai, Lihong Bai, Lihong Bai, Jiyu Wang, Jiyu Wang, Huai Liao, Huai Liao, Haihong Chen, Haihong Chen, Rongling He, Rongling He, Pengyuan Zhu, Jun Liu, Canmao Xie, Canmao Xie, Zunfu Ke, Zunfu Ke, Zunfu Ke, Ke-Jing Tang, Ke-Jing Tang, Ke-Jing Tang

“…BackgroundTargeted next-generation sequencing (tNGS) has become a trending tool in the field of infection diagnosis, but concerns are also raising about its performance compared with metagenomic next-generation sequencing (mNGS). …”
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Is posterior cervical imbalance after anterior cervical discectomy with fusion a determinant in the development of adjacent cervical degeneration? A retrospective study with an ave... by Valentino Latallade, Gonzalo Kido, Matías Pereira Duarte, Ignacio Solá, Iván A. Huespe, Juan M. Colazo, Matías Petracchi, Marcelo Gruenberg

“…In the imaging evaluation, sagittal balance parameters were included, as well as radiographic parameters that target the development of ASDeg. In addition, discrimination was made between arthrodesis techniques. …”
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Polarimetric Properties of Event Horizon Telescope Targets from ALMA by Ciriaco Goddi, Iván Martí-Vidal, Hugo Messias, Geoffrey C. Bower, Avery E. Broderick, Jason Dexter, Daniel P. Marrone, Monika Moscibrodzka, Hiroshi Nagai, Juan Carlos Algaba, Keiichi Asada, Geoffrey B. Crew, José L. Gómez, C. M. Violette Impellizzeri, Michael Janssen, Matthias Kadler, Thomas P. Krichbaum, Rocco Lico, Lynn D. Matthews, Antonios Nathanail, Angelo Ricarte, Eduardo Ros, Ziri Younsi, Kazunori Akiyama, Antxon Alberdi, Walter Alef, Richard Anantua, Rebecca Azulay, Anne-Kathrin Baczko, David Ball, Mislav Baloković, John Barrett, Bradford A. Benson, Dan Bintley, Lindy Blackburn, Raymond Blundell, Wilfred Boland, Katherine L. Bouman, Hope Boyce, Michael Bremer, Christiaan D. Brinkerink, Roger Brissenden, Silke Britzen, Dominique Broguiere, Thomas Bronzwaer, Do-Young Byun, John E. Carlstrom, Andrew Chael, Chi-kwan Chan, Shami Chatterjee, Koushik Chatterjee, Ming-Tang Chen, Yongjun Chen, Paul M. Chesler, Ilje Cho, Pierre Christian, John E. Conway, James M. Cordes, Thomas M. Crawford, Alejandro Cruz-Osorio, Yuzhu Cui, Jordy Davelaar, Mariafelicia De Laurentis, Roger Deane, Jessica Dempsey, Gregory Desvignes, Sheperd S. Doeleman, Ralph P. Eatough, Heino Falcke, Joseph Farah, Vincent L. Fish, Ed Fomalont, H. Alyson Ford, Raquel Fraga-Encinas, William T. Freeman, Per Friberg, Christian M. Fromm, Antonio Fuentes, Peter Galison, Charles F. Gammie, Roberto García, Olivier Gentaz, Boris Georgiev, Roman Gold, Arturo I. Gómez-Ruiz, Minfeng Gu, Mark Gurwell, Kazuhiro Hada, Daryl Haggard, Michael H. Hecht, Ronald Hesper, Luis C. Ho, Paul Ho, Mareki Honma, Chih-Wei L. Huang, Lei Huang, David H. Hughes, Makoto Inoue, Sara Issaoun, David J. James, Buell T. Jannuzi, Britton Jeter, Wu Jiang, Alejandra Jimenez-Rosales, Michael D. Johnson, Svetlana Jorstad, Taehyun Jung, Mansour Karami, Ramesh Karuppusamy, Tomohisa Kawashima, Garrett K. Keating, Mark Kettenis, Dong-Jin Kim, Jae-Young Kim, Jongsoo Kim, Junhan Kim, Motoki Kino, Jun Yi Koay, Yutaro Kofuji, Patrick M. Koch, Shoko Koyama, Michael Kramer, Carsten Kramer, Cheng-Yu Kuo, Tod R. Lauer, Sang-Sung Lee, Aviad Levis, Yan-Rong Li, Zhiyuan Li, Michael Lindqvist, Greg Lindahl, Jun Liu, Kuo Liu, Elisabetta Liuzzo, Wen-Ping Lo, Andrei P. Lobanov, Laurent Loinard, Colin Lonsdale, Ru-Sen Lu, Nicholas R. MacDonald, Jirong Mao, Nicola Marchili, Sera Markoff, Alan P. Marscher, Satoki Matsushita, Lia Medeiros, Karl M. Menten, Izumi Mizuno, Yosuke Mizuno, James M. Moran, Kotaro Moriyama, Cornelia Müller, Gibwa Musoke, Alejandro Mus Mejías, Neil M. Nagar, Masanori Nakamura, Ramesh Narayan, Gopal Narayanan, Iniyan Natarajan, Joey Neilsen, Roberto Neri, Chunchong Ni, Aristeidis Noutsos, Michael A. Nowak, Hiroki Okino, Héctor Olivares, Gisela N. Ortiz-León, Tomoaki Oyama, Feryal Özel, Daniel C. M. Palumbo, Jongho Park, Nimesh Patel, Ue-Li Pen, Dominic W. Pesce, Vincent Piétu, Richard Plambeck, Aleksandar PopStefanija, Oliver Porth, Felix M. Pötzl, Ben Prather, Jorge A. Preciado-López, Dimitrios Psaltis, Hung-Yi Pu, Venkatessh Ramakrishnan, Ramprasad Rao, Mark G. Rawlings, Alexander W. Raymond, Luciano Rezzolla, Bart Ripperda, Freek Roelofs, Alan Rogers, Mel Rose, Arash Roshanineshat, Helge Rottmann, Alan L. Roy, Chet Ruszczyk, Kazi L. J. Rygl, Salvador Sánchez, David Sánchez-Arguelles, Mahito Sasada, Tuomas Savolainen, F. Peter Schloerb, Karl-Friedrich Schuster, Lijing Shao, Zhiqiang Shen, Des Small, Bong Won Sohn, Jason SooHoo, He Sun, Fumie Tazaki, Alexandra J. Tetarenko, Paul Tiede, Remo P. J. Tilanus, Michael Titus, Kenji Toma, Pablo Torne, Tyler Trent, Efthalia Traianou, Sascha Trippe, Ilse van Bemmel, Huib Jan van Langevelde, Daniel R. van Rossum, Jan Wagner, Derek Ward-Thompson, John Wardle, Jonathan Weintroub, Norbert Wex, Robert Wharton, Maciek Wielgus, George N. Wong, Qingwen Wu, Doosoo Yoon, André Young, Ken Young, Feng Yuan, Ye-Fei Yuan, J. Anton Zensus, Guang-Yao Zhao, Shan-Shan Zhao, Gabriele Bruni, A. Gopakumar, Antonio Hernández-Gómez, Ruben Herrero-Illana, Adam Ingram, S. Komossa, Y. Y. Kovalev, Dirk Muders, Manel Perucho, Florian Rösch, Mauri Valtonen

“…We determine the polarization and Faraday properties of all VLBI targets, including Sgr A*, M87, and a dozen radio-loud active galactic nuclei (AGNs), in the two bands at several epochs in a time window of 10 days. …”
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Electroporation of CRISPR/Cas9 Targeting Neurogenin 3 (NGN3) in Porcine Embryos and Its Effects on Mosaicism and Off-Target Effects by Next Generation Sequencing (NGS) by Insung Park, Sergio Navarro-Serna, Raquel M. Pinho, Trish Berger, Elizabeth A. Maga, Joaquín Gadea, Seung K. Kim, Pablo J. Ross

“…Mosaicism results assessed by long-read targeted sequencing of embryos revealed that electroporation with the highest concentration of CRISPR/Cas9 resulted in 57.14% mosaic embryos, accompanied by a significant reduction in the average allele variants (2.43 alleles per embryo) compared to the lowest concentration (4.56 alleles per embryo). …”
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Research and application of locomotive wheel reprofiling model targeting flange thickening by LIU Tong, WEN Shihu, XU Huawei, CHENG Yaping

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Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds by Ji Haoyu, Meng Weihua, Zhang Xinchao, Duan Jingfei, Zhang Meng

“…The semantic segmentation of infrared weak targets relies more on detailed texture features, and deeper network architecture are not suitable for semantic segmentation of infrared targets, making it difficult to accurately segment weak targets from complex backgrounds. …”
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Learning of the mean, but not variance, of color distributions cues target location probability by Philippe Blondé, Sabrina Hansmann-Roth, David Pascucci, Árni Kristjánsson

“…In experiment 1, participants searched for an oddly colored target diamond in a 6 × 6 set. On each trial, the distractors were drawn from one of two color distributions centered on different color averages. …”
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Evaluating the Effectiveness of Targeted Interventions on the Quality of Life for Patients with Ischemic Stroke by Sultanah Al Harbi, Mohammed Al Ghetami, Mohamed Ahmed, Mohammed Al Althobaiti, Ahmed Newera, Hadeel Al Talhi, Fatmah Alzobidi, Frenk Lee Baldovino, Kamille Bianca Raviz, Leo Medalla, Andyson Mocorro

“…This project yielded significant improvements in the QoL of patients with ischemic stroke, evident by the reduction in the average mRS score from 3.33 to 0.91 (p < 0.001). The effective implementation of case management services also had a positive effect on postdischarge patient satisfaction, which rose from 45% to 94%, as well as on readmission rates secondary to stroke, reduced from an average of 6.2% to 4%. …”
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Effect of time-weighted average 25(OH)D on the occurrence of major adverse kidney events in IgA nephropathy—from a 10-year population-based cohort study by Fang Lu, Chang Liu, Dandan Song, Li Qian, Jingfeng Zhu, Jingjing Wu, Chengning Zhang, Zhimin Huang, Ming Zeng, Bin Sun, Bo Zhang, Suyan Duan, Yanggang Yuan, Changying Xing, Huijuan Mao

“…Identification of the baseline and time-weighted average (TWA) serum 25-hydroxyvitamin D (25(OH)D) levels associated with the major adverse kidney events (MAKE) was performed using Kaplan–Meier survival analysis, receiver operating characteristic (ROC) curves, and multivariate logistic regression analysis. …”
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Research for the Detection of Aircraft Target in Real-Time Based on YOLOv5 by Bangjv Huang, Bolin Ma, Li Lu

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Receding Horizon Unbiased FIR Filters and Their Application to Sea Target Tracking by Boris Skorohod

“…In this paper, position and speed estimation of sea targets using angle measurements in azimuth and elevation is considered as an example.…”
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Multiple targets localization via compressive sensing from mere connectivity by Lei LIU, Jian-jun ZHANG, Yang LU, Xing WEI, Jiang-hong HAN

“…A multiple targets localization method was proposed from mere connectivity,and the multiple targets posi-tioning problem was converted to sparse vector resolving by compressive sensing theory,which was applied to the indoor localization of intensive references distribution.The connectivity to the references was collected as the only measurement data,and targets locations were figured out by minimum l₁-norm algorithm.When measurement data was compressed tol 1 bit,the fixed point iteration algorithm combined with semi-definite relax was proposed to figure out targets locations.As for the simulation results,compared with MDS-MAP,DV-Hop and RSS-CS algorithms,the average location error is less than 1 grid by the mere connectivity of N -bit and 1-bit quantization CS localization,of which the occupied bit quan-tity are reduced to less than 4 times and 16 times of RSS localization observation value respectively.…”
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Crowding results from optimal integration of visual targets with contextual information by Guido Marco Cicchini, Giovanni D’Errico, David Charles Burr

“…This notion leads to several testable predictions: crowding should be greatest for unreliable targets and reliable flankers; crowding-induced biases should be maximal when target and flankers have similar orientations, falling off for differences around 20°; flanker interference should be associated with higher precision in orientation judgements, leading to lower overall error rate; effects should be maximal when the orientation of the target is near that of the average of the flankers, rather than to that of individual flankers. …”
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Multiple targets localization via compressive sensing from mere connectivity by Lei LIU, Jian-jun ZHANG, Yang LU, Xing WEI, Jiang-hong HAN

“…A multiple targets localization method was proposed from mere connectivity,and the multiple targets posi-tioning problem was converted to sparse vector resolving by compressive sensing theory,which was applied to the indoor localization of intensive references distribution.The connectivity to the references was collected as the only measurement data,and targets locations were figured out by minimum l₁-norm algorithm.When measurement data was compressed tol 1 bit,the fixed point iteration algorithm combined with semi-definite relax was proposed to figure out targets locations.As for the simulation results,compared with MDS-MAP,DV-Hop and RSS-CS algorithms,the average location error is less than 1 grid by the mere connectivity of N -bit and 1-bit quantization CS localization,of which the occupied bit quan-tity are reduced to less than 4 times and 16 times of RSS localization observation value respectively.…”
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