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Stochastic and robust truck-and-drone routing problems with deadlines: A Benders decomposition approach

TrANSPOrTATION rESEArCH PArT E-LOGISTICS ANd TrANSPOrTATION rEVIEW 2024年 190卷

作者： deng, Menghua Li, Yuanbo ding, Jianpeng Zhou, Yanlin Zhang, Lianming Hohai Univ Business Sch Nanjing 210098 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Sch Management Nanjing 210003 Jiangsu Peoples R China Nanjing Univ Finance & Econ Sch Management Sci & Engn Nanjing 210023 Jiangsu Peoples R China Samsung Semicond Inc SOC Cellular & Multimedia R&D San Diego CA 92121 USA Shenzhen Res Inst Big Data Shenzhen 518172 Peoples R China

Time-definite delivery service requires efficient and punctual delivery within specified deadlines. Enhancing the service level of delivery in last-mile logistics prompted the application of a truck-and-drone cooperative system. However, the inherent uncertainty in travel time contributes to frequent service delays. To address this challenge, our study addresses the stochastic and robust truck-and-drone routing problems with deadlines, aiming to minimize service delay risk under uncertainty. We leverage the sample average approximation (SAA) and robust optimization (rO) approaches to handle uncertainty in scenarios involving both big and small datasets. Benders decomposition (Bd) algorithms are developed to solve the SAA and rO truck-and-drone routing problems efficiently. Numerical experiments showcase the algorithms' effectiveness and reveal interesting insights. These findings suggest the importance of tailoring the approach to data availability for optimizing truck-and-drone delivery under uncertainty. Furthermore, the proposed model formulations and algorithms are generalized to address truck- and-drone routing problems under more complex scenarios, such as that with uncertainty of service time, or with nonlinear objective functions.

关键词： deadlines Sample average approximation robust optimization Benders decomposition Truck-and-drone

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Shaman: An Intelligent Framework For Auto-Tuning Hpc Systems

International Journal of Computer Science and Applications

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International Journal of Computer Science and Applications 2021年第1期18卷 45-68页

作者： robert, Sophie Zertal, Soraya Goret, Gael Couvee, Philippe Atos BDS R&D Data Management Li-PaRAD University of Versailles Versailles France Li-PaRAD University of Versailles Versailles France Atos BDS R&D Data Management Echirolles France

Modern computer systems integrate many highly configurable hardware devices and software components. Finding their optimal parametrization is a complex task, as the size of the parametric space and the non-linear behavior of High-Performance Computing (HPC) systems make hand tuning, theoretical modeling or exhaustive sampling unsuitable for most ***-tuning methods relying on black-box optimization have emerged as a promising solution for finding systems' best parametrization without making any assumption on the behavior of the tuned system. We propose an auto-tuning framework called Smart HPC Application Manager (SHAMan), that integrates state of the art heuristics to find the optimal parametrization of HPC systems for a given application in a limited number of iterations. We describe the conceptual and technical architecture of the framework and its native support for HPC clusters' ecosystem. We detail in depth the stand-alone optimization engine and its integration as a service provided by a Web *** deployed and tested the framework by tuning an I/O accelerator developed by the Atos company on a HPC cluster running in production. The tuner's performance is evaluated by optimizing 135 applications with different I/O characteristics. We show a median improvement of 97% in speed-up compared to the default parametrization and 18% compared to the median, showing the importance of using an auto-tuner to use the most appropriate parameters for each application. © Technomathematics research Foundation

关键词： Optimization

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Prealbumin dynamic assessment for nutritional support effectiveness in critically ill patients

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Clinical Nutrition ESPEN 2024年 63卷 992-993页

作者： Pardo, E. Jabaudon, M. Godet, T. Pereira, B. Morand, d. Futier, E. Arpajou, G. Le Cam, E. Bonnet, M.-P. Constantin, J.-M. Département Anesthésie-Réanimation Hôpital Saint-Antoine GRC 29 Sorbonne Université Paris Department of Perioperative Medicine Biostatistics and Data Management Unit Direction de la Recherche Clinique (DRCI) CHU de Clermont-Ferrand Clermont-Ferrand Département Anesthésie-Réanimation Hôpital Armand Trousseau Département Anesthésie-Réanimation Hôpital Pitié-Salpêtrière Paris France

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The influence of women in shaping profitability and corporate social responsibility within knowledge-based economies and societies

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INTErNATIONAL JOUrNAL OF KNOWLEdGE-BASEd dEVELOPMENT 2024年第4期14卷 387-410页

作者： Pentireddi, Sujatha Ashifa, K. M. Sharma, Sukhwinder Muda, Iskandar Goel, divya rajest, S. Suman Gandhi Inst Technol & Management Dept Accounting & Finance Visakhapatnam 530045 Andhra Pradesh India Istanbul Gelisim Univ Fac Hlth Sci Dept Social Work TR-34310 Istanbul Turkiye Manipal Univ Jaipur Dept Data Sci & Engn Jaipur 303007 India Univ Sumatera Utara Dept Accounting Medan 20155 Indonesia Jaypee Inst Informat Technol Jaypee Business Sch Noida 201309 Uttar Pradesh India Dhaanish Ahmed Coll Engn Dept Res & Dev R&D Chennai 601301 Tamil Nadu India Dhaanish Ahmed Coll Engn Chennai 601301 Tamil Nadu India

Our research explores the interconnections between board diversity, corporate governance, and intellectual capital (IC) management in knowledge-based economies. Utilising the frameworks of upper-echelon theory and the knowledge-based view of the firm, we apply a multi-dimensional Intellectual Capital Index (ICI) to examine how board diversity measured by gender ratio, educational background, and professional expertise affects IC management effectiveness. Analysing a longitudinal panel dataset from various sectors in knowledge-based economies, we employ advanced econometric models, including multiway panel data analysis, to ensure rigour. Our findings reveal that board diversity significantly enhances IC management, fostering innovation and sustainability. Independent directors, unlike in traditional economies, play a crucial role in shaping IC management policies in these contexts. Control variables such as board size, meeting frequency, and organisational learning culture are also instrumental. Our study contributes to the growing literature on intellectual capital and corporate governance, with significant implications for policy formulation. Specifically, promoting board diversity can be a key strategy for optimising intellectual capital in knowledge-based economies.

关键词： sustainability investment CSr corporate social responsibility open innovation independent directors female managers CSr reporting corporate governance knowledge-based economies

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Phase 2 study of the efficacy and safety of ponsegromab in patients with cancer cachexia: PrOACC-1 study design

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JOUrNAL OF CACHEXIA SArCOPENIA ANd MUSCLE 2024年第3期15卷 1054-1061页

作者： Groarke, John d. Crawford, Jeffrey Collins, Susie M. Lubaczewski, Shannon L. Breen, danna M. Harrington, Magdalena A. Jacobs, Ira Qiu, ruolun revkin, James rossulek, Michelle I. Saxena, Aditi r. Pfizer Inc Internal Med Res Unit Cambridge MA 10017 USA Duke Univ Med Ctr Duke Canc Inst Durham NC USA Pfizer R&D UK Ltd Global Biometr & Data Management Sandwich Kent England Pfizer Inc Early Clin Dev Biomed Artificial Intelligence Collegeville PA USA Pfizer Inc Global Access & Value Oncol Cambridge MA USA Pfizer Inc Global Prod Dev New York NY USA Pfizer Inc Clin Pharmacol Cambridge MA USA Pfizer Inc WRDM Internal Med Res Unit Cambridge MA USA

BackgroundCancer cachexia is a multifactorial metabolic wasting syndrome characterized by anorexia, unintentional loss of weight involving both skeletal muscle and adipose tissues, progressive functional impairment and reduced survival. Therapeutic strategies for this serious condition are very limited. Growth differentiation factor 15 (GdF-15) is a cytokine that is implicated in cancer cachexia and may represent both a biomarker of cancer cachexia and a potential therapeutic target. Ponsegromab is a potent and selective humanized monoclonal antibody that inhibits GdF-15-mediated signalling. Preclinical and preliminary phase 1 data suggest that ponsegromab-mediated inactivation of circulating GdF-15 may lead to improvement in key characteristics of cachexia. The primary objective of this phase 2 study is to assess the effect of ponsegromab on body weight in patients with cancer, cachexia and elevated GdF-15 concentrations. Secondary objectives include assessing physical activity, physical function, actigraphy, appetite, nausea and vomiting, fatigue and safety. Exploratory objectives include evaluating pharmacokinetics, pharmacodynamics, immunogenicity, lumbar skeletal muscle index and response Evaluation Criteria in Solid *** 168 adults with non-small-cell lung, pancreatic or colorectal cancers who have cachexia and elevated GdF-15 concentrations will be randomized in a double-blind, placebo-controlled study (NCT05546476). Participants meeting eligibility criteria will be randomized 1:1:1:1 to one of three dose groups of ponsegromab (100, 200 or 400 mg) or matching placebo administered subcutaneously every 4 weeks for an initial 12-week treatment period. This is followed by optional open-label treatment with ponsegromab of 400 mg administered every 4 weeks for up to 1 year. The primary endpoint is mean change from baseline in body weight at Week 12. A mixed model for repeated measures followed by a Bayesian Emax model will be used for the pri

关键词： cachexia cancer GdF-15 ponsegromab weight loss

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Full-Year Evaluation of Nonmeteorological Echo removal with dual-Polarization Fuzzy Logic for Two C-Band radars in a Temperate Climate

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JOUrNAL OF ATMOSPHErIC ANd OCEANIC TECHNOLOGY 2020年第9期37卷 1643-1660页

作者： Overeem, Aart Uijlenhoet, remko Leijnse, Hidde Royal Netherlands Meteorol Inst R&D Observat & Data Technol De Bilt Netherlands Wageningen Univ & Res Hydrol & Quantitat Water Management Grp Wageningen Netherlands

The royal Netherlands Meteorological Institute (KNMI) operates two dual-polarization C-band weather radars in simultaneous transmission and reception (STAr;i.e., horizontally and vertically polarized pulses are transmitted simultaneously) mode, providing 2d radar rainfall products. despite the application of doppler and speckle filtering, remaining nonmeteorological echoes ( especially sea clutter) mainly due to anomalous propagation still pose a problem. This calls for additional filtering algorithms, which can be realized by means of polarimetry. Here we explore the effectiveness of the open-source wradlib fuzzy echo classification and clutter identification based on polarimetric moments. Based on our study, this has recently been extended with the depolarization ratio and clutter phase alignment as new decision variables. Optimal values for weights of the different membership functions and threshold are determined employing a 4-h calibration dataset from one radar. The method is applied to a full year of volumetric data from the two radars in the dutch temperate climate. The verification focuses on the presence of remaining nonmeteorological echoes by mapping the number of exceedances of radar reflectivity factors for given thresholds. Moreover, accumulated rainfall maps are obtained to detect unrealistically large rainfall depths. The results are compared to those for which no further filtering has been applied. Verification against rain gauge data reveals that only a little precipitation is removed. Because the fuzzy logic algorithm removes many nonmeteorological echoes, the practice to composite data from both radars in logarithmic space to hide these echoes is abandoned and replaced by linearly averaging reflectivities.

关键词： Precipitation Quality assurance/control radars/radar observations remote sensing

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Clinical implication of children's depression rating scale-revised score: Linking the children's depression rating scale-revised score and clinical global impression using patients data from clinical trials

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HEALTH SCIENCE rEPOrTS 2023年第9期6卷 e1512页

作者： Yoshimatsu, Hiroki Imaeda, Takayuki Higa, Shingo Nomoto, Keisuke Pfizer R&D Japan GK Biometr & Data Management Tokyo Japan Pfizer R&D Japan GK Regulatory Affairs Tokyo Japan Viatris Pharmaceut Japan Inc Med Affairs 5-11-2 ToranomonMinato Ku Tokyo 1050001 Japan

Background and Aims: The Children's depression rating Scale-revised (CdrS-r) score has been widely used to assess the severity of major depression in children and adolescents;however, the clinical implications of changes in the CdrS-r score remain unclear. We evaluated these clinical implications by assessing the relationship between changes in the CdrS-r score and changes in the Clinical Global Impression of Improvement (CGI-I), in clinical research on major depression. Methods: We used data from four clinical trials involving two antidepressants and evaluated the relationship between CdrS-r score changes and the CGI-I score using the equipercentile linking method. results: CdrS-r score changes corresponding to a minimally improved (score of 3) CGI-I score was approximately 14 points. Conclusion: Our findings from the linking analyses are useful for interpreting the clinical implications of changes in the CdrS-r score.

关键词： antidepressants clinical global impression linking analysis major depression

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direct intramyocardial injection of VEGF mrNA in patients undergoing coronary artery bypass grafting

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MOLECULAr THErAPY 2023年第3期31卷 866-874页

作者： Anttila, Vesa Saraste, Antti Knuuti, Juhani Hedman, Marja Jaakkola, Pekka Laugwitz, Karl -Ludwig Krane, Markus Jeppsson, Anders Sillanmaeki, Saara rosenmeier, Jaya Zingmark, Pernilla rudvik, Anna Garkaviy, Pavlo Watson, Christina Pangalos, Menelas N. Chien, Kenneth r. Fritsche-danielson, regina Collen, Anna Gan, Li-Ming Univ Turku Heart Ctr Turku Finland Univ Turku Turku Finland Turku Univ Hosp Turku PET Ctr Turku Finland Kuopio Univ Hosp Heart Ctr Kuopio Finland Univ Eastern Finland Inst Clin Med Kuopio Finland Tech Univ Munich Med Dept Cardiol Angiol & Pneumol 1 Klinikum Rechts Isar Munich Germany German Ctr Cardiovasc Res DZHK Munich Heart Alliance Munich Germany Tech Univ Munich German Heart Ctr Munich Dept Cardiovasc Surg Munich Germany Yale Univ Yale Sch Med Div Cardiac Surg New Haven CT USA Univ Gothenburg Inst Med Sahlgrenska Acad Dept Mol & Clin Med Gothenburg Sweden Sahlgrens Univ Hosp Dept Cardiothorac Surg Gothenburg Sweden Kuopio Univ Hosp Dept Clin Physiol & Nucl Med Kuopio Finland AstraZeneca Res & Early Clin Dev Cardiovasc Renal & Metab BioPharmaceut R&D Gothenburg Sweden AstraZeneca Early Biometr & Stat Innovat Data Sci & Artificial Intelligence R&D Gothenburg Sweden AstraZeneca BioPharmaceut R&D Study Management Early Cardiovasc Renal & Metabol Cambridge England AstraZeneca BioPharmaceut Res & Dev Cambridge England Karolinska Inst Dept Cell & Mol Biol Stockholm Sweden Sahlgrens Univ Hosp Dept Cardiol Gothenburg Sweden AstraZeneca Res & Early Clin Dev Cardiovasc Renal & Metab BioPharmaceut R&D Gothenburg Sweden

Vascular endothelial growth factor A (VEGF-A) has thera-peutic cardiovascular effects, but delivery challenges have impeded clinical development. We report the first clinical study of naked mrNA encoding VEGF-A (AZd8601) injected into the human heart. EPICCUrE (ClinicalTrials. gov: NCT03370887) was a randomized, double-blind study of AZd8601 in patients with left ventricular ejection fraction (LVEF) 30%-50% who were undergoing elective coronary artery bypass surgery. Thirty epicardial injections of AZd8601 (total 3 mg) or placebo in citrate-buffered saline were targeted to ischemic but viable myocardial regions mapped using quantitative [15O]-water positron emission tomography. Seven patients received AZd8601 and four received placebo and were followed for 6 months. There were no deaths or treatment-related serious adverse events and no AZd8601-associated infections, immune reactions, or arrhythmias. Exploratory outcomes indicated potential improvement in LVEF, Kansas City Cardiomy-opathy Questionnaire scores, and N-terminal pro-B -type natriuretic peptide levels, but the study is limited in size, and significant efficacy conclusions are not possible from the dataset. Naked mrNA without lipid encapsulation may provide a safe delivery platform for introducing genetic material to cardiac muscle, but further studies are needed to confirm efficacy and safety in a larger patient pool.

关键词： EPICCUrE VEGF-A cardiac mrNA clinical trial LVEF regeneration therapeutic mrNA safety tolerability phase 2a CABG

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Person Tracking by detection Using dual Visible-Infrared Cameras

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IEEE INTErNET OF THINGS JOUrNAL 2022年第22期9卷 23241-23251页

作者： Geng, Xuewen Li, Minglei Liu, Wenping Zhu, Shengkai Jiang, Hongbo Bian, Jiawen Fan, Xuezhi Peng, ruiqing Luo, Jun State Grid EV Serv R&D Ctr Basic Platform Beijing Peoples R China SGCC Smart Energy & Elect Transportat Technol Inn Test & Verificat Ctr Suzhou 215000 Peoples R China Hubei Univ Econ Sch Informat Management Wuhan 430205 Peoples R China Hubei Univ Econ Inst Big Data & Digital Econ Wuhan 430205 Peoples R China State Grid Elect Vehicle Serv Hunan Co Ltd Automobile Charging Serv Dept Changsha 411104 Peoples R China Hunan Univ Coll Comp Sci & Elect Engn Changsha 410082 Peoples R China China Univ Geosci Sch Math & Phys Wuhan 430079 Hubei Peoples R China Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore

We study the problem of cross-modality person reidentification (reId) and tracking with dual visible-infrared (VI) cameras, while most existing efforts on tracking-by-detection have been paid on single-modality visible reId which is inapplicable for poor-light environments. The major difficulties for cross-modality (e.g., VI) reId stem from the large modality gap between three-channel visible images and one-channel infrared images and such unknown environmental factors as background clutter, occlusions, etc. To tackle these issues, we propose to enrich the diversities of visible and infrared images for intra- and cross-modality matching by using both the channel-aware data augmentation (dA) techniques (e.g., channel exchanged augmentation and random occlusions) and standard dA techniques. On top of these dA techniques, we incorporate resNet50 and vision transformer (ViT) into the feature extraction backbone network and apply the dynamic weight average (dWA) strategy for learning loss weights by regarding the minimization of identity loss and triplet loss as a multitask learning problem. We then apply the proposed reId approach for person tracking in the field of interests. The experiments on two public data sets, i.e., regdB and SYSU-MM01, show that our approach can improve the performance of state-of-the-art rank-1, mAP, and mINP for cross-modality matching. In addition, the experiments on our data set show that tracking by VI-reId using dual VI cameras can achieve an accuracy of around 0.24 m.

关键词： Cameras Feature extraction Transformers Training Automobiles Trajectory Standards Cross-modality dual visible-infrared (VI) camera person reidentification (reId) person tracking

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Quality Tolerance Limits: A General Guidance for Parameter Selection and Threshold Setting

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THErAPEUTIC INNOVATION & rEGULATOrY SCIENCE 2024年第3期58卷 423-430页

作者： Keller, Annett van Borrendam, Nathalie Benner, Patrice Gilbert, Steven Saino, Stefano Jendrasek, debra Young, Steve Muli, Marcus Wang, Jim Kozinska, Marta Liu, Jun Boehringer Ingelheim Pharm GmbH KG & Co Global Biostat & Data Sci Binger Str 173 D-55216 Ingelheim Germany Janssen Res & Dev Integrated Data Analyt & Reporting Graaf Engelbertlaan 75 NL-4837DS Breda Netherlands Merck & Co Inc Global Data Management & Stand 770 Sumneytown Pike West Point PA 19486 USA Pfizer Stat Res & Innovat 100 Cambridge Pk Dr Cambridge MA 02140 USA Palazzo Canova Risk Evaluat & Adapt Integrated Monitoring MSD V Flli Cervi I-20090 Milan Italy Daiichi Sankyo Risk Based Qual Management 211 Mt Airy Rd Basking Ridge NJ 07920 USA Cluepoints Research 1000 Continental Dr Suite 240 King Of Prussia PA 19406 USA Merck & Co Inc Biostat & Res Decis Sci 351 N Sumneytown Pike N Wales PA 19454 USA Janssen Res & Dev Stat & Decis Sci 920 Route 202 Raritan NJ 08869 USA AstraZeneca Centralized Monitoring BioPharmaceut Clin Operat R&D Postepu 14 PL-02676 Warsaw Poland Astellas Centralized Monitoring 1 Astellas Way Northbrook IL 60062 USA

The past years have sharpened the industry's understanding of a Quality by design (Qbd) approach toward clinical trials. Using Qbd encourages designing quality into a trial during the planning phase. The identification of Critical to Quality (CtQs) factors and specifically Critical data and Processes (Cd&Ps) is key to such a risk-based monitoring approach. A variable that allows monitoring the evolution of risk regarding the Cd&Ps is called a Quality Tolerance Limit (QTL) parameter. These parameters are linked to the scientific question(s) of a trial and may identify the issues that can jeopardize the integrity of trial endpoints. This paper focuses on defining what QTL parameters are and providing general guidance on setting thresholds for these parameters allowing for the derivation of an acceptable range of the risk.

关键词： CtQ factor Quality Tolerance Limits (QTLs) QTL Parameter QTL Threshold setting methodologies data simulation Historical data

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