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Optimization of the Storage Location Assignment Problem Using Nested Annealing

The Storage Location Assignment Problem (SLAP) has a significant impact on the efficiency of warehouse operations. We propose a multi-phase optimizer for the SLAP, where the quality of an assignment is based on distance estimates of future-forecasted order-picking. Candidate assignments are first sampled using a Markov Chain accept/reject method. Order-picking Traveling Salesman Problems (TSPs) ar

Cyanobacterial Argonautes and Cas4 family nucleases cooperate to interfere with invading DNA

Prokaryotic Argonaute proteins (pAgos) from the long-A clade are stand-alone immune systems that use small interfering DNA (siDNA) guides to recognize and cleave invading plasmid and virus DNA. Certain long-A pAgos are co-encoded with accessory proteins with unknown functions. Here, we show that cyanobacterial long-A pAgos act in conjunction with Argonaute-associated Cas4 family enzyme 1 (ACE1). S

LES modeling of the DLR generic single-cup spray combustor : comparison of exploratory category C jet fuels

The combustion of conventional Jet A, alongside two alternative jet fuels, C1 and C5, is simulated with Large Eddy Simulations (LES) in a generic single-cup spray combustor during idle and cruise conditions. The spray is modeled using Lagrangian particle tracking and the combustion chemistry of each fuel is modeled by skeletal reaction mechanisms. The volatility and atomizability of each fuel dire

Enhancing autonomous vehicles system security : advanced attack detection for robust safeguarding

The advances in highly automated and autonomous transportation systems over the last decade have generated great interest in topics in the safe navigation of land vehicles. With distributed control strategies employed in the majority of applications of autonomous vehicles, such as traffic and formation control, the much-required resilience takes the form of fault-tolerance with respect to informat

PIONEER big data platform for prostate cancer: lessons for advancing future real-world evidence research

Prostate Cancer Diagnosis and Treatment Enhancement through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer. PIONEER brings together 34 private and public stakeholders from 9 countries in one multidisciplinary research consortium with the aim of positively transforming the field of prostate cancer clinical care by answering pressing que

Baseline characteristics and clinical outcomes of prostate cancer patients on delayed palliative management : a PIONEER analysis based on big data

Introduction Delayed palliative management (DPM) is an alternative for prostate cancer (PCa) patients with poor performance status, or those who received radical treatment but progressed and no longer meet the criteria for curative treatment. PIONEER is a large network of federated data analytic platforms in PCa that aims to improve its care through the application of big data analytics. The objec

BeBOP-Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks

Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks. While in the past, robot programs were often written statically and tuned manually, the current, faster transition times call for robust, modular and interpretable solutions that also allow a robotic system to learn how to perform a task. We propose the method Behavior-based Bayesian Optimizatio

Adaptable Recovery Behaviors in Robotics : A Behavior Trees and Motion Generators (BTMG) Approach for Failure Management

In dynamic operational environments, particularly in collaborative robotics, the inevitability of failures necessitates robust and adaptable recovery strategies. Traditional automated recovery strategies, while effective for predefined scenarios, often lack the flexibility required for on-the-fly task management and adaptation to expected failures. Addressing this gap, we propose a novel approach

Large Eddy Simulations of a turbulent premixed swirling flame with finite-rate chemistry and flame-wrinkling turbulent combustion models

Lean, premixed, swirl-stabilized flames are widely used in modern Dry Low Emissions gas turbine combustors; however, the turbulent combustion process under those conditions is known to be extremely sensitive and prone to instabilities. Numerical simulations can be a valuable tool in predicting the effects of alternative fuels; however, the sensitivity of the results to different models ought to be

A Wideband Balun-LNA for Sub-6-GHz 5G NR with Multi-Mode Operation in 22-nm FD-SOI

A wideband balun-LNA featuring common gate (CG) – common source (CS) noise cancelling, current reuse, and g0.8 GHz to 7.3 GHz that fulfills the requirements of sub-6 GHzm -boosting is presented. It covers frequency range from 5G new radio (NR) technology. The LNA provides balanced output for identical differential loads and employs forward body biasing for linearity improvement. The LNA has low se

Learning curve for robot-assisted laparoscopic radical prostatectomy in a large prospective multicentre study

Objective: Differences in outcome after radical prostatectomy for prostate cancer can partly be explained by intersurgeon differences, where degree of experience is one important aspect. This study aims to define the learning curve of robot-assisted laparoscopic prostatectomy (RALP) regarding oncological and functional outcomes. Materials and methods: Out of 4003 enrolled patients in the LAPPRO tr

Polygenic scores, diet quality, and type 2 diabetes risk : An observational study among 35,759 adults from 3 US cohorts

Background Bothgenetic and lifestyle factors contribute to the risk of type 2 diabetes, but the extent to which there is a synergistic effect of the 2 factors is unclear. The aim of this study was to examine the joint associations of genetic risk and diet quality with incident type 2 diabetes. Methods and findings We analyzed data from 35,759 men and women in the United States participating in the

Estimating the Direct Effect between Dietary Macronutrients and Cardiometabolic Disease, Accounting for Mediation by Adiposity and Physical Activity

Assessing the causal effects of individual dietary macronutrients and cardiometabolic disease is challenging owing to the complexity to distinguish direct effects from those mediated or confounded by other factors. To estimate these effects, intake of protein, carbohydrate, sugar, fat, and its subtypes were obtained using food frequency data derived from a Swedish population-based cohort (n~60,000

Bone Scan Index as an Imaging Biomarker in Metastatic Castration-resistant Prostate Cancer : A Multicentre Study Based on Patients Treated with Abiraterone Acetate (Zytiga) in Clinical Practice

Background Abiraterone acetate (AA) prolongs survival in metastatic castration-resistant prostate cancer (mCRPC) patients. To measure treatment response accurately in bone, quantitative methods are needed. The Bone Scan Index (BSI), a prognostic imaging biomarker, reflects the tumour burden in bone as a percentage of the total skeletal mass calculated from bone scintigraphy. Objective To evaluate

High Expression of Midkine in the Airways of Patients with Cystic Fibrosis.

Mutations in the CFTR gene result in impaired host defense during cystic fibrosis (CF), where Pseudomonas aeruginosa becomes a key pathogen. We investigated the expression pattern of the antibacterial growth factor midkine in CF and possible interference with its activity by the altered airway microenvironment. High midkine expression was found in CF lung tissue compared with controls, involving e

Cross-National User Priorities for Housing Provision and Accessibility - Findings from the European innovAge Project.

To develop an innovative information and communication technology (ICT) tool intended to help older people in their search for optimal housing solutions, a first step in the development process is to gain knowledge from the intended users. Thus the aim of this study was to deepen the knowledge about needs and expectations about housing options as expressed and prioritized by older people, people a

Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study

The presentation and underlying pathophysiology of type 2 diabetes (T2D) is complex and heterogeneous. Recent studies attempted to stratify T2D into distinct subgroups using data-driven approaches, but their clinical utility may be limited if categorical representations of complex phenotypes are suboptimal. We apply a soft-clustering (archetype) method to characterize newly diagnosed T2D based on

Exposome-wide ranking of modifiable risk factors for cardiometabolic disease traits

The present study assessed the temporal associations of ~ 300 lifestyle exposures with nine cardiometabolic traits to identify exposures/exposure groups that might inform lifestyle interventions for the reduction of cardiometabolic disease risk. The analyses were undertaken in a longitudinal sample comprising > 31,000 adults living in northern Sweden. Linear mixed models were used to assess the av

Initial Case Study Findings for Requirements on Work-Related Health Aspects

Most work implies the use of digital systems and tools, thus, digital technology plays a vital role in modern work environments. Even so, ergonomics and usability of IT systems and digital tools used at work are often weak, which causes work-related health problems including physical, visual, cognitive, and stress-related issues. We pose that one important reason for these types of issues is the l