CT lymphangiography of the thoracic duct in mice: direct mesenteric versus popliteal lymph node puncture by Shimpei Kato, Haruto Sugawara, Toshihiro Furuta, Osamu Abe, Hiroyuki Akai

“…Abstract Background To evaluate the efficacy of computed tomography (CT) lymphangiography after direct mesenteric lymph node injection for thoracic duct (TD) visualization in mice. Methods Twelve female BALB/c mice were injected with 35 μL of iodinated contrast medium (iomeprol 350 mgI/mL) into the mesenteric (mesenteric group) or popliteal (popliteal group) lymph nodes. …”
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The mediating role of coping style in the relationship between fear of childbirth and psychological birth trauma among natural childbirth women in China: a structural equation mode... by Ying Wang, Cuiping Liu, Yujie Sun, Yaqing Yuan, Liping Chen

“…Researchers mostly focus on the impacts of postpartum mental health issues, such as postpartum post-traumatic stress disorder, minimal attention has been given to the antecedents of psychological birth trauma. …”
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Optimization of the size and location of the FOVs for CBCT capture of the TMJ by Marc Anton Fuessinger, Maximilian Frederik Russe, Leonard Simon Brandenburg, Marc Christian Metzger, Johannes Schulze, Stefan Schlager, Wiebke Semper-Hogg

“…By transformation into a common coordinate space using the device’s chin rest as a joint denominator, we were able to determine the optimal size and location for uni- and bilateral capture of the TMJ for both best-case and worst-case scenarios with regard to patient positioning. Results The minimal FOVs for unilateral capture were H 28.2 mm × R 22.9 mm in the best-case scenario assuming optimal patient positioning and H 47.0 mm × R 28.3 mm in the worst-case scenario with rotational deviation along the transversal axis. …”
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Evaluation of laparoscopic surgery effects on pain severity and quality of life in different subtypes of endometriosis: A follow-up study by Mania Kaveh, Haniye Malakouti, Shahla Chaichian, Abolfazl Mehdizadeh Kashi, Mahdi Afshari, Kambiz Sadegi

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Complete/Near-Complete Itch Response Observed in Patients with Moderate-to-Severe Atopic Dermatitis Initiating Dupilumab: 3-Year, Real-World, Interim Data from the PROSE Registry by Neal Bhatia, Charles W. Lynde, Luz Fonacier, Liyang Shao, Kwinten Bosman, Andrew Korotzer

“…Additionally, by year 3, 65.1% (54/83) of patients had an ODS score of no/minimal disease (score of 0 or 1), versus 2.2% (19/852) at baseline. …”
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Postoperative Pain and Opiate Requirement is Increased Following Second-Side Surgery Among Patients Undergoing Staged Total Knee Arthroplasty by Vivek P. Chadayammuri, MD, Shuvalaxmi D. Haselton, MS, Elizabeth Diaz, PA-C, Roger H. Emerson, MD

“…Methods: 160 consecutive patients undergoing staged bilateral TKA between August 2017 and January-2021 was retrospectively reviewed. …”
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PROMIS Ability to Predict Outcomes and Time to Surgery for Patients Treated with Bunion Surgery for Hallux Valgus by Chase Gauthier MD, Padam Kumar MD, Austin Paradis BS, Travis Dias BS, Thomas Ecker BS, Tyler Gonzalez MD, MBA, J. Benjamin Jackson MD, MBA

“…Demographic information, time to surgery, PROMIS scores, and preoperative radiographic measurements were collected. The minimal clinically important difference (MCID) in PROMIS scores was defined as half of the standard deviation of the change in PROMIS scores. …”
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Modeling distributed energy resource aggregations in security constrained unit commitment and economic dispatch by Jesse Holzer, Matthew Cornachione, Liping Li, Eran Schweitzer, Brent Eldridge

“…Once all participating DERAs are scheduled in SCUC/SCED, the model is then modified to dispatch individual DERs to maximize profit or minimize schedule deviation of the DERAs. A simulation of a representative day illustrates the DERA offers, the scheduled generation, and the DERA dispatch. …”
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An Improved Droop-Based Adaptive Virtual Impedance for Accurate Power Sharing Among Multiple DGs in Islanded Microgrid by Ahmed M. Abouassy, Hamoud Alafnan, Diaa-Eldin A. Mansour, Abdullah Albaker, Tamer F. Megahed

“…The effectiveness of the proposed controller is validated through simulations involving both two and multiple DG units, and its performance is compared against conventional control methods. It demonstrated superior performance by achieving accurate reactive power sharing, reducing active power overshoot from 7.14% to 4%, and decreasing the voltage deviation at the PCC from −0.783% to −0.435%. …”
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A New Siamese Network Loss for Cattle Facial Recognition in a Few-Shot Learning Scenario by João Porto, Gabriel Higa, Vanessa Weber, Fabrício Weber, Newton Loebens, Pietro Claure, Leonardo de Almeida, Karla Porto, Hemerson Pistori

“…In contrast, the proposed method aims to reduce the number of images needed, thereby minimizing animal stress. …”
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A Mixed Integer Linear Programming Model for Rapid Rescheduling in Ship and Offshore Unit Design Projects by Kyeongho Kim, Minjoo Choi, Haram Seo, Jaekyeong Lee, Jihong Kim, Shinhyo Kim

“…The model generates updated schedules that accommodate necessary changes while minimizing deviations from the initial schedule. In a real-world case involving 857 tasks, the model generated a schedule in under one second, preserving approximately 80% of the original schedule and achieving a 20% improvement in adherence compared to the original scheduling method. …”
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OPTIMIZING THE PROCESS OF PICK-UP AND DELIVERY WITH TIME WINDOWS USING ANT COLONY AND TABU SEARCH ALGORITHMS by Imas Saumi Amalia, Toni Bakhtiar, Jaharuddin Jaharuddin

“…The development is carried out by adding functions of clustering, evaluating constraints, cutting tours, arranging of goods, and evaluating moves on the TS, as well as modifying transition rules. The result has a deviation of about 22% and 99.99% less computational time than the exact method.…”
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Application of Multi-Objective Control in Power and Load Optimization of Wind Turbines by Jiawang Yuan, Shan He, Jing Cheng, Weiqing Wang

“…To address this issue, this study proposes a multi-objective H<inline-formula> <tex-math notation="LaTeX">$_{\mathrm {\infty }}$ </tex-math></inline-formula>/generalized H2 additional damping control method, which improves control precision by minimizing the integral of time-weighted absolute error of state variables, effectively suppressing the resonance peaks at critical frequencies and reducing the resulting power and load fluctuations. …”
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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

“…The results demonstrate that the CNN-Transformer model offers greater robustness and smaller prediction deviations than other machine learning models. This study provides a reliable and fast approach for predicting formation density while minimizing exploration cost and improving exploration efficiency for oil and gas.…”
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Risk factors for lymph ascites after surgery for endometrial cancer and impact on lymphedema of the legs. A prospective longitudinal Swedish multicenter study by Madelene Wedin, Karin Glimskär Stålberg, Ulrika Ottander, Åsa Åkesson, Gabriel Lindahl, Ninnie Borendal Wodlin, Preben Kjølhede

“…Lymphadenectomy was a strong risk factor for lymph ascites and the use of minimally invasive surgery seemed to reduce the risk. …”
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Reconfigurable Satellite Constellation Design for Disaster Monitoring Using Physical Programming by Xiangyue He, Haiyang Li, Luyi Yang, Jian Zhao

“…Due to the unpredictability of disasters, target sites evenly spaced on the Earth are considered as all possible disaster scenarios, and the optimal reconfigurable constellation is designed with the intention to minimize total velocity increment, maximum and mean reconfiguration time, and standard deviation of reconfiguration times for all target sites. …”
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Variable Step-Size Hybrid Filtered-x Affine Projection Generalized Correntropy Algorithm for Active Noise Control by Zhaoqing Mu, Ying Gao, Xinyu Guo, Shifeng Ou

“…This algorithm is derived from the Affine Projection Generalized Maximum Correntropy (APGMC) method, featuring a hybrid step-size and a new step-size approach achieved by modifying the mean square deviation (MSD). …”
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Monitoring of the Strength Development of Mortar and Concrete Based on the New Smart Piezoelectric Module by Qing Yang, Yaqin Zhang, Yuanping Wang, Jianxiu Hu, Jie Zhang

“…The change in the W/C ratio had a minimal effect on wave velocity, and the deviation of the established strength prediction model was within 10%, indicating good accuracy. …”
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On the Use of Compressed Air and Synthetic Biodegradable Cutting Fluid to Enhance the Surface Quality of WAAM–CMT Manufactured Low-Alloy Steel Parts During Post-Processing Milling... by Déborah de Oliveira, Marcos Vinícius Gonçalves, Guilherme Menezes Ribeiro, André Luis Silva da Costa, Luis Regueiras, Tiago Silva, Abílio de Jesus, Lucival Malcher, Maksym Ziberov

“…Therefore, it is important that machining, even if minimized, does not lead to a significant environmental impact. …”
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Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures by GU Qinghua, WANG Xueqing, WANG Dan, ZHANG Pengpeng, WANG Yu

“…To reduce the impact of uncertainty and randomness of sudden equipment failures in open-pit mining equipment, taking the production equipment at the loading and unloading points in the transportation system of open-pit coal mines as the research object, an unmanned mining truck cluster scheduling model for open-pit mines considering sudden equipment failures is proposed.Firstly, an initial scheduling model is established to minimize truck transportation costs, total idle time of trucks, and maximize ore transportation volume.Secondly, considering sudden equipment failures, a rescheduling model is constructed to minimize the deviation from the objective function of the initial scheduling plan.Subsequently, an adaptive multi-objective evolutionary algorithm assisted by a surrogate model is proposed, using Kriging surrogate models to replace the truck dispatching simulation process.Finally, the method is applied to simulation with data from a domestic open-pit mine.The results show that when the transportation system is disturbed by sudden equipment failures, this method can provide a scheduling optimization adjustment plan with shorter total idle time of trucks and more ore transportation volume.…”
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