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Your search for "Buy fc coins Buyfc26coins.com is EA Sports official for FC 26 coins The process was smooth and quick..yeUb" yielded 79897 hits

Process Development for the Production of Natural Polymers from Residues of the Agricultural Industry

Under de senaste åren har den ökande oro för de miljöförödande konsekvenserna av konvent-ionell plast lett till ett ökat intresse för biobaserade och biologiskt nedbrytningsbara plaster. Som förnybara råvaror för dessa plaster har jordbruksbiprodukter framlagts som en lovande källa. Denna studie undersöker olika jordbruksbiprodukter som potentiella råmaterial för biologiskt nedbrytbar plats. DettaIn recent years, concerns about the damaging environmental effects of conventional plastics have surged, by which biobased and biodegradable plastics have been promoted as a favour-able alternative. Agricultural side streams have been proposed as a potential feedstock for extracting components for new compostable polymers. The present study investigates agri-cultural side streams for raw material

The Viral AlphaFold Database of monomers and homodimers reveals conserved protein folds in viruses of bacteria, archaea, and eukaryotes

Viruses are the most abundant and genetically diverse entities on Earth, yet the functions and evolution of most viral proteins remain poorly understood. Their rapid evolution often obscures evolutionary relationships, limiting the ability to assign functions using sequence-based methods. Although the conservation of protein fold can reveal deep homologies, viral proteins remain underrepresented i

Vibe coding and the new prototyping playbook

We explore vibe coding as a rapid prototyping approach powered by generative AI. We discuss how it lowers the barrier to creating high-fidelity prototypes, enabling nontechnical users to build apps, and examine its implications for communication, validation, and iterative software design.

SPARC : The Standardised Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography Analysis and Reporting Consensus: A Delphi Analysis

Background and objective: Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) is an evolving diagnostic tool for prostate cancer. There is a need to harmonise existing guidelines and reporting recommendations for PSMA PET/CT. The Standardised PSMA PET/CT Analysis and Reporting Consensus (SPARC) project aims to consolidate classifications and recommen

Observational Health Data Analysis of the Cardiovascular Adverse Events of Systemic Treatment in Patients with Metastatic Hormone-sensitive Prostate Cancer : Big Data Analytics Using the PIONEER Platform

Background and objective: Although cardiovascular toxicity from modern systemic treatments in metastatic hormone-sensitive prostate cancer (mHSPC) remains a concern, real-world data are limited. We aimed to characterise patients treated for mHSPC across multiple large cohorts and estimate cardiovascular adverse event (AE) risks. Methods: Leveraging PIONEER's Big Data platform, with databases stand

Preliminary findings on establishing a privately governed data ecosystem for MLOps data sharing

The integration of machine learning (ML) into software operations (MLOps) has significantly increased the demand for data to train and test models, making data sharing and reuse essential to mitigate the high costs of data collection and preprocessing. This study aims to advance the understanding of data sharing within an MLOps context by examining the establishment and governance of a data ecosys

Filtered multimodal re-ranking for e-commerce

This study explores the integration of Large Language Model (LLM) and Information Retrieval (IR) components to enable filtered search over multimodal structured data. We identify core integration challenges and introduce a conceptual framework based on two paradigms: filtered retrieval and filtered re-ranking. With the focus on the latter, we employ RT-3 rank transformation to dynamically adjust t

Static treatment of dynamic interactions in the single-orbital Anderson impurity model

Correlated electron physics is intrinsically a multiscale problem, since high-energy electronic states screen the interactions between the correlated electrons close to the Fermi level, thereby reducing the magnitude of the interaction strength and dramatically shortening its range. Thus the handling of screening is an essential ingredient in the first-principles modeling of correlated electron sy

From Strong to Weak Correlations in Breathing-Mode Kagome van der Waals Materials : Nb3(F, Cl, Br, I)8 as a Robust and Versatile Platform for Many-Body Engineering

By combining ab initio downfolding with cluster dynamical mean-field theory, we study the degree of correlations in monolayer, bilayer, and bulk breathing-mode kagome van der Waals materials Nb3(F, Cl, Br, I)8. Our new material-specific many-body model library shows that in low-temperature bulk structures the Coulomb correlation strength steadily increases from I to Br, Cl, and F, allowing us to i

Treatment Trajectories in Metastatic Hormone-sensitive Prostate Cancer : A PIONEER+ Big Data Analysis

BACKGROUND AND OBJECTIVE: The treatment landscape for metastatic hormone-sensitive prostate cancer (mHSPC) is evolving rapidly. Real-world data (RWD) are essential to understand actual treatment use and outcomes. This study aimed to describe treatment trajectories and clinical outcomes in a large, multicenter RWD cohort under the PIONEER project. METHODS: Eight European and US databases (2016-2020

Transformation of Sulfamethoxazole in Water by Hydrogen Peroxide, Biochar and Fe(III)

Med nya läkemedel, hudvårdsprodukter, stekpannor och bekämpningsmedel följer också att allt fler föroreningar släpps ut i naturen via bland annat jordbruk samt avlopp från industrier och sjukhus. Dessa föroreningar sprids till våra vattendrag, påverkar de organismer som lever där negativt och kan även förorena vårt dricksvatten. Ett läkemedel som släpps ut i naturen och som kan ses som särskilt pOrganic contaminants are present in aquatic environments and there is a need for water treatment techniques that are both efficient and practically implementable. Antibiotics are particularly problematic organic contaminants, as insufficient removal can contribute to the spread of antibiotic resistance, which can affect essential bacteria for ecosystems and cause untreatable infections in humans.

Self-adaptive ZrN coating enables stable acidic oxygen evolution on Co3O4through dynamic surface reconstruction

The development of acid-stable, non-precious catalysts for the oxygen evolution reaction (OER) remains a critical challenge for proton exchange membrane water electrolyzers (PEMWEs). While Co3O4 shows promising OER activity, its rapid dissolution in acidic media severely limits practical application. Here, we design a self-adaptive protection strategy by depositing ZrN coatings on Co3O4 precursor

A mechanistic understanding of the varying yields of highly oxygenated organic molecules

Highly oxygenated organic molecules (HOM) play a crucial role in the formation and growth of atmospheric particles, thereby influencing air quality and climate. A comprehensive understanding of HOM formation, particularly an accurate quantification of their yields, is essential to constrain the climate and health impacts of aerosols. Previous studies often reported constant HOM yields as averages,

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

Co-Digestion and Mono-Digestion of Sewage Sludge and Steam-Pretreated Winter Wheat Straw in Continuous Stirred-Tank Reactors—Nutrient Composition and Process Performance

Wheat straw (WS) constitutes a considerable biomass resource and can be used to produce the energy carrier methane through anaerobic digestion. Due to the low contents of several nutrient elements and water in harvested WS, the use of sewage sludge (SS), consisting of primary sludge and waste-activated sludge, as a nutrient source in co-digestion with steam-pretreated wheat straw (PWS) was investi

Data-limited Continuous Experimentation (dlCE) : a literature review

Continuous experimentation (CE) is a software development approach where product decisions are data-driven. Large global internet-facing companies such as Microsoft, Google, and Facebook apply the practice by leveraging their massive user bases to obtain high statistical significance in experimentation results. However, companies with smaller user bases, such as small- and medium-sized enterprises

M2SKD : Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

Integrating low-power wearable systems into routine health monitoring is an ongoing challenge. Recent advances in the computation capabilities of wearables make it possible to target complex scenarios by exploiting multiple biosignals and using high-performance algorithms, such as Deep Neural Networks (DNNs). However, there is a tradeoff between the algorithms' performance and the low-power requir

Revealing the 1,4-diethynylbenzene SERS activity and docking studies by DFT

Surface-enhanced Raman scattering (SERS) technology can detect molecular information; Because of its high sensitivity, it is widely used in chemical analysis. In this study discussed the experimental detection of 1,4-diethynylbenzene molecule based on SERS technology. The SERS spectra of 1,4-diethynylbenzene molecule were calculated by Density Functional Theory (DFT) simulation, and the results sh

Assertions in software testing : survey, landscape, and trends

Assertions are one of the most useful automated techniques for checking program’s behaviour and hence have been used for different verification and validation tasks. We provide an overview of the last two decades of research involving “assertions” in software testing. Based on a term-based search, we filtered the inclusion of relevant papers and synthesised them with respect to the problem address