Distributed quantile regression over sensor networks via the primal–dual hybrid gradient algorithm by Zheng Qin, Zhaoting Liu

“…QR solves a non-smooth optimization problem characterized by a piecewise linear loss function, commonly known as the check function. …”
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A patient-centered qualitative evaluation of meaningful change on the NSAA and PUL in Duchenne Muscular Dystrophy by Aviva Gillman, Teofil Ciobanu, Louise Barrett, Evan W. Davies, Alexander P. Murphy, Alex Johnson, Jessica Mills, Phoebe Heinrich, Krystian Przydzial, Bethany Ewens, Gerrit Vandenberg, Stefan Cano, Anna Mayhew

“…The aim of this study is to understand meaningful change in functional abilities as measured by the NSAA and PUL at different ability levels from the perspective of individuals with DMD, caregivers of individuals with DMD, and clinicians.MethodsThe study utilized a non-interventional, descriptive, cross-sectional qualitative design consisting of 69 semi-structured interviews, including individuals with DMD (n = 18), caregivers of individuals with DMD (n = 51), and neuromuscular physiotherapists (n = 2) to understand meaningful change on the NSAA and PUL.ResultsThe results for both instruments indicated that: (i) items that are meaningful differ based on ability level; (ii) maintaining function in lower and upper limbs is the ultimate goal; (iii) meaningful change is often reported in relation to gain or loss of specific function, as opposed to number of total points on the scale; and (iv) losing one scale point corresponds to either a partial or full loss in function and activity, which has differing impacts on daily life.ConclusionThe perception of meaningful change in DMD as measured by the NSAA is influenced by ability levels and ambulatory function, with participants describing their need to maximize certain abilities, maintain function, and retain independence. …”
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A mouse model for osseous heteroplasia. by Michael T Cheeseman, Kate Vowell, Tertius A Hough, Lynn Jones, Paras Pathak, Hayley E Tyrer, Michelle Kelly, Roger Cox, Madhuri V Warren, Jo Peters

“…In Albright Hereditary Osteodystrophy (AHO) heterozygous loss of function mutations of GNAS can result in ectopic ossification that tends to be superficial and attributable to haploinsufficiency of biallelically expressed G(s)α. …”
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Bayesian and non-Bayesian estimation of some entropy measures for a Weibull distribution by Amal S. Hassan, Najwan Alsadat, Oluwafemi Samson Balogun, Baria A. Helmy

“…Furthermore, Bayesian entropy estimates using the linear exponential loss function tended to outperform those using other loss functions in the majority of scenarios. …”
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The role of bariatric surgery and appetite-related hormones metabolism in obesity treatment: a literature review by A. O. Nykonenko, Ye. I. Haidarzhi, O. S. Nykonenko, M. H. Holovko, A. S. Protsenko

“…Our review shows that the above-mentioned surgeries (LSG, LGCP, RYGB), aimed to the treatment of obesity, directly lead to a decrease in body mass index and weight loss and, indirectly, through the adipose tissue function, have different significant effects on energy balance and appetite-related hormones levels. …”
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A Study on Optimal Data Bandwidth of Recurrent Neural Network–Based Dynamics Model for Robot Manipulators by Seungcheon Shin, Minseok Kang, Jaemin Baek

“…The proposed method has a key point that the optimal data bandwidth can be obtained by the loss function and its derivative in the robot manipulators. …”
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Long Term Optimal DG Placement Considering Transmission System Reliability and Load Uncertainty by Ali Badri, Mahdy Norouzi

“…To get more accurate results the model considers both DG benefits and costs and the objective function is based on DG profit maximization. Benefits of using DG consist of loss reduction revenue, reducing in costumers' interruption costs, power purchase saving as well as green house gas and fossil fuel reductions. …”
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Aquaporin 2 mutations in Trypanosoma brucei gambiense field isolates correlate with decreased susceptibility to pentamidine and melarsoprol. by Fabrice E Graf, Philipp Ludin, Tanja Wenzler, Marcel Kaiser, Reto Brun, Patient Pati Pyana, Philippe Büscher, Harry P de Koning, David Horn, Pascal Mäser

“…The predominant mechanism of drug resistance in African trypanosomes is decreased drug uptake due to loss-of-function mutations in the genes for the transporters that mediate drug import. …”
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ASHM-YOLOv9: A Detection Model for Strawberry in Greenhouses at Multiple Stages by Yan Mo, Shaowei Bai, Wei Chen

“…Haar wavelet downsampling (HWD) was applied to optimize the Adaptive Downsampling module (Adown) of the initial model, thereby increasing the precision of object detection. Finally, the CIoU function was replaced by the Minimum Point Distance based IoU (MPDIoU) loss function to effectively solve the problem of low precision in identifying bounding boxes. …”
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A rare metabolic complication of acute lymphoblastic leukemia in childhood: lactic acidosis by Müge Gökçe, Sule Unal, Hayriye Gülşen, Ozge Başaran, Mualla Cetin, Fatma Gümrük, Nesrin Beşbaş, Aytemiz Gürgey

“… A 13-year-old boy presented with nausea, fatigue, weight loss, and bone pain for two months. Complete blood count and serum renal and liver function tests were all normal. …”
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Assessing Rainfall Erosivity with Artificial Neural Networks for the Ribeira Valley, Brazil by Reginald B. Silva, Piero Iori, Cecilia Armesto, Hugo N. Bendini

“…Various empirical models (e.g., USLE) are used to predict soil losses from climate variables which in general have to be derived from spatial interpolation of point measurements. …”
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Research on detection and tracking methods of unmanned ship water targets based on light vision by LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao

“…In terms of target detection, the YOLOv7 algorithm is used, which effectively improves the accuracy and recall rate of target detection by optimizing the loss function. In order to achieve accurate multi-target tracking, combined with self-trained model weights and Sort algorithm, continuous tracking of targets and accurate annotation of center point trajectories are successfully implemented. …”
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Mapping changes of grassland to arable land using automatic machine learning of stacked ensembles and H2O library by Jiří Šandera, Přemysl Štych

“…Permanent grasslands play a very important role in the landscape. The loss of permanent grasslands and their subsequent conversion into arable land create erosion-prone agricultural areas in the landscape and have a negative impact on the biodiversity. …”
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Stress-Strength Reliability of Two-Parameter Exponential Distribution Based on Progres- sively Type-II Censored Data by Sajad Rostamian

“…Also, in almost all cases the Bayes estimator under the linear-exponential loss function has smaller estimated risk than the other estimators. …”
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Lightweight wavelet-CNN tea leaf disease detection. by Jing Yang, GaoJian Xu, MengDao Yang, ZhengPei Lin

“…To further optimize feature extraction, a convolutional block attention module (CBAM) is incorporated within the Bneck structure, refining the network's ability to assign optimal weights to feature channels. A focal loss function also replaces traditional cross-entropy loss to mitigate sample category imbalance, improving recognition accuracy across varying distributions. …”
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Estimating Shape Parameters of Piecewise Linear-Quadratic Problems by Zheng, Peng, Ramamurthy, Karthikeyan Natesan, Aravkin, Aleksandr Y.

“…Properties of these estimators depend on the choice of penalty and its shape parameters, such as degree of asymmetry for the quantile loss, and transition point between linear and quadratic pieces for the Huber function.In this paper, we develop a statistical framework that can help the modeler to automatically tune shape parameters once the shape of the penalty has been chosen. …”
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A Novel Design and Implementation of a Surface Sediment Sampling Robot by Luis Gonzalo Gallegos Vicente, Jymmy Alexander Gonzales Cordova, Jorge Leonardo Huarca Quispe, Juan Carlos Cutipa Luque, Juan Pablo Julca Avila

“…At this point, it employs an innovative drilling system that combines rotational and linear movements, enabling a conical-shaped collector to gather samples from the uppermost 52 mm of sediment while minimizing the loss of fine sediment. …”
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Road-Adaptive Precise Path Tracking Based on Reinforcement Learning Method by Bingheng Han, Jinhong Sun

“…Finally, PP is used to generate the front wheel angle control value by combining the current speed and the predicted preview point. In the second layer, we carefully designed the evaluation function in the tracking process based on the uncertainties and performance requirements that may occur during vehicle driving. …”
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FRESH: Fusion-Based 3D Apple Recognition via Estimating Stem Direction Heading by Geonhwa Son, Seunghyeon Lee, Yukyung Choi

“…Moreover, we experimentally validated that the proposed loss function most effectively estimated the rotation among the various approaches we explored. …”
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A Distributional Robust Distribution Network Reconfiguration Method Based on Compressed Switch Candidate Set by Haocheng DU, Shilong LI, Yuntao JU, Jinqi ZHANG

“…The first stage took the minimization of active network loss of the system as the objective function and used the optimal matching loop flow method to compress the switch candidate set; the second stage took the minimization of the sum of the power purchase cost and the switch action cost as the objective function, constructed the chance constraints on the capacity limits of the power point, and adopted a Wasserstein ball-based distributional robust method to deal with the uncertainty of distributed generation. …”
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