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Labeling of proteins with deuterium (2H) is often necessary for structural biology tech-niques, such as neutron crystallography, NMR spectroscopy, and small-angle neutron scattering. Perdeuteration in which all protium (1H) atoms are replaced by deuterium is a costly process. Typ-ically, expression hosts are grown in a defined medium with heavy water as the solvent, which is supplemented with a de
BACKGROUND: To describe visual field (VF) outcome in three adolescents with damage to the optic radiation and to focus on mechanisms that may compensate the practical functional limitations of VF defects.DESIGN: Descriptive, prospective multi-case study in a hospital setting.PARTICIPANTS: Three teenagers with cerebral visual dysfunction because of damage to the retro-geniculate visual pathways.MET
Experimental governance is increasingly being implemented in cities around the world through laboratories, testbeds, plat- forms, and innovation districts to address a wide range of complex sustainability challenges. Experiments often involve public-private partnerships and triple helix collaborations with the municipality as a key stakeholder. This stretches the responsibilities of local authorit
Nanoparticles in a biological fluid (plasma, or otherwise) associate with a range of biopolymers, especially proteins, organized into the “protein corona” that is associated with the nanoparticle and continuously exchanging with the proteins in the environment. Methodologies to determine the corona and to understand its dependence on nanomaterial properties are likely to become important in bionan
Anomaly detection is the process of identifying unexpected data samples in datasets. Automated anomaly detection is either performed using supervised machine learning models, which require a labelled dataset for their calibration, or unsupervised models, which do not require labels. While academic research has produced a vast array of tools and machine learning models for automated anomaly detecti
Some of the most fundamental chemical building blocks of life on Earth are the metal elements. X-ray absorption spectroscopy (XAS) is an element-specific technique that can analyse the local atomic and electronic structure of, for example, the active sites in catalysts and energy materials and allow the metal sites in biological samples to be identified and understood. A microfluidic device capabl
Objective: To avoid over-treatment of low-risk prostate cancer patients, it is important to identify clinically significant and insignificant cancer for treatment decision-making. However, no accurate test is currently available. Methods: To address this unmet medical need, we developed a novel gene classifier to distinguish clinically significant and insignificant cancer, which were classified ba
Advanced therapies for Parkinson's disease (PD) constitute a broad range of treatments, each presenting specific ethical challenges. Some of these therapies are established and in clinical use, like device-aided therapies, and others, based on advanced therapeutic medicinal products (ATMPs), are still in early stage of clinical trials. This paper focuses on some common ethical issues arising in th
Climate change and direct anthropogenic impact are recognized as two major factors affecting catchment runoff. This study investigated the separate effect of each of these factors for runoff from the important Tunisian Merguellil catchment. For this purpose, more than forty years of hydrological data were used. The methodology was based on hydrological characterization, NDVI index to monitor land
Assignment of the G3m(g) and (b) correlative amino acid residues was performed at the genomic level by direct sequencing of DNA from nine Caucasian individuals. Two oligonucleotide primers were used for subclass-specific enzymatic amplification of a DNA segment comprising a major portion of the second and third constant region domains (CH2 and CH3) fo the human IgG3 heavy chain gene. Comparison of
To provide higher data rates, as well as better coverage, cost efficiency, security, adaptability, and scalability, the 5G and beyond 5G networks are developed with various artificial intelligence techniques. In this two-part paper, we investigatethe application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels. It firstly provides a
Purpose: Preclinical studies using a new treatment modality called FLASH Radiotherapy (FLASH-RT) need a two-phase procedure to ensure minimal uncertainties in the delivered dose. The first phase requires a new investigation of the reference dosimetry lying outside the conventional metrology framework from national metrology institutes but necessary to obtain traceability, repeatability, and stabil
PURPOSE: Paramedial mandibulotomy facilitates access for the resection of tumors in the oral and oropharyngeal space; however, severe complications related to surgical techniques and radiotherapy have been reported for this procedure. This study evaluated whether preservation of the periosteum during a mandibulotomy would decrease postoperative complications owing to the increased healing capacity
Reliable prediction tools are yet to be developed for estimating the accurate acoustic performance of lightweight structures, which are vital especially in the design process. This paper presents a sound insulation prediction model based on artificial Neural Networks (NN) to estimate acoustic performance for airborne and impact sound insulation of floor structures. At an initial stage, the predict
AimIntraoperative rectal washout is performed to eliminate exfoliated intraluminal cancer cells and thereby decrease the risk of local recurrence. Rectal washout in abdominoperineal resection has not been studied. The aim of this study was to assess the oncological outcome after rectal washout in abdominoperineal resection for rectal cancer and to find evidence as to whether rectal washout should
Binge eating disorder (BED) is associated with several psychological and medical problems, such as obesity. Approximately 30% of individuals seeking weight loss treatments present binge eating symptomatology. Moreover, current treatments for BED lack efficacy at follow-up assessments. Developing mindfulness and self-compassion seem to be beneficial in treating BED, although there is still room for
This two-part paper investigates the application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels. In Part I, we introduced AI and ML as well as provided a comprehensive survey on ML enabled channel characterization and antenna-channel optimization, and in this part (Part II) we review state-of-the-art literature on scenario iden
This paper investigates the wideband channel characteristics obtained in a classroom and a hall indoor scenarios at 2-4, 9-11 and 27-29GHz. A virtual uniform circular array (UCA) based channel sounding system was utilized to capture wideband spatial channel characteristics. The propagation parameters of multipath components (MPCs) were estimated by using a high resolution parameter estimation (HRP
