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Artificial Intelligence Applications for Sustainable Construction

Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation result

Practical applicable model for estimating the carbonation depth in fly-ash based concrete structures by utilizing adaptive neuro-fuzzy inference system

Concrete carbonation is a prevalent phenomenon that leads to steel reinforcement corrosion in reinforced concrete (RC) structures, thereby decreasing their service life as well as durability. The process of carbonation results in a lower pH level of concrete, resulting in an acidic environment with a pH value below 12. This acidic environment initiates and accelerates the corrosion of steel reinfo

Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm

Nowadays, strengthening of reinforced concrete structures with a new class of sustainable materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to predict the capacity of the strengthened (FRP/FRCM) reinforced concrete elements without considering the bond strength. Therefore, the concrete substrate to Fibre-Reinforced Cementitious Matrix (FRCM) bond is a

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

Combination therapies in metastatic hormone-sensitive prostate cancer (mHSPC), which include the addition of an androgen receptor signaling inhibitor and/or docetaxel to androgen deprivation therapy, have been a game changer in the management of this disease stage. However, these therapies come with their fair share of toxicities and side effects. The goal of this observational study is to report

Diverse roles of the metal binding domains and transport mechanism of copper transporting P-type ATPases

Copper transporting P-type (P1B-1-) ATPases are essential for cellular homeostasis. Nonetheless, the E1-E1P-E2P-E2 states mechanism of P1B-1-ATPases remains poorly understood. In particular, the role of the intrinsic metal binding domains (MBDs) is enigmatic. Here, four cryo-EM structures and molecular dynamics simulations of a P1B-1-ATPase are combined to reveal that in many eukaryotes the MBD im

Fifth generation district heating and cooling network coupled with geothermal energy source for a sustainable community: Case study of Embassy of Sharing at Malmö

With growing urbanization and increase in energy demand for space heating and cooling in buildings, reliability, security, distribution of energy and its efficient end use is of utmost importance particularly when emissions from energy use and indoor thermal comfort of the end users isof question. Numerous solutions have been put forth in the field of effective distribution of thermal energy to me

Normative Power in the Planetary Organic Crisis

The lead intervention article argues that the new reality of the planetary organic crisis awaits a normative critical social theory of planetary politics, a means of understanding the sharing of relationships within International Relations and an agenda for action in concert found in the normative power approach. The article and subsequent 20th anniversary special issue provide an opportunity to r

Overlaps and divergences between tauopathies and synucleinopathies : a duet of neurodegeneration

Proteinopathy, defined as the abnormal accumulation of proteins that eventually leads to cell death, is one of the most significant pathological features of neurodegenerative diseases. Tauopathies, represented by Alzheimer’s disease (AD), and synucleinopathies, represented by Parkinson’s disease (PD), show similarities in multiple aspects. AD manifests extrapyramidal symptoms while dementia is als

Thermal processing of milk: Effects on nutrient content and physical properties

Milk is a nutrient-dense fluid which is essential for a healthy balanced diet. Thermal processing is the dominating approach in the dairy industry to ensure food safety, however, heat treatment can alter both the composition and quality of the milk. The aim of this thesis has been to evaluate the effects of various processing technologies on the nutrient content and physical properties of milk and

Quantifying freeze-melt dynamics of lakes on the Tibetan Plateau using Sentinel-1 synthetic aperture radar imagery

The ice phenology of alpine lakes on the Tibetan Plateau (TP) is a rapid and direct responder to climate changes, and the variations in lake ice exhibit high temporal frequency characteristics. MODIS and passive microwave data are widely used to monitor lake ice changes with high temporal resolution. However, the low spatial resolutions make it difficult to effectively quantify the freeze-melt dyn

Image-based non-invasive assessment of suction blister wounds for clinical safety and efficacy

Recognising the need for objective imaging-based technologies to assess wound healing in clinical studies, the suction blister wound model offers an easily accessible wound model that creates reproducible epidermal wounds that heal without scarring. This study provides a comprehensive methodology for implementing and evaluating photography-based imaging techniques utilising the suction blister wou

Firm survival and the rise of the factory

This paper uses longitudinal establishment-level data to trace the rise of the factory during Sweden's industrialization between 1864 and 1890. We document a sharp shift from the small artisan shop to the mechanized factory, which can largely be ascribed to differences in survival. Whilst non-mechanized establishments could compete with the factory during early industrialization, a distinct surviv

Stellar Population Astrophysics (SPA) with TNG : Fluorine abundances in seven open clusters

Context. The age, evolution, and chemical properties of the Galactic disk can be effectively ascertained using open clusters. Within the large program Stellar Populations Astrophysics at the Telescopio Nazionale Galileo, we specifically focused on stars in open clusters, to investigate various astrophysical topics, from the chemical content of very young systems to the abundance patterns of lesser

A machine-learning method for biobank-scale genetic prediction of blood group antigens

A key element for successful blood transfusion is compatibility of the patient and donor red blood cell (RBC) antigens. Precise antigen matching reduces the risk for immunization and other adverse transfusion outcomes. RBC antigens are encoded by specific genes, which allows developing computational methods for determining antigens from genomic data. We describe here a classification method for de

Assessing Patient Radiation Exposure in Endoscopic Retrograde Cholangiopancreatography : A Multicenter Retrospective Analysis of Procedural Complexity and Clinical Factors

Background and aims: Endoscopic retrograde cholangiopancreatography (ERCP) procedures can result in significant patient radiation exposure. This retrospective multicenter study aimed to assess the influence of procedural complexity and other clinical factors on radiation exposure in ERCP. Methods: Data on kerma-area product (KAP), air-kerma at the reference point (Ka,r), fluoroscopy time, and the