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Research into the psychology of language learning (PLL) can make important contributions to the knowledge base of the teaching profession. However, impact can be hampered by conceptual accessibility. One way to enhance accessibility is to enable practitioners to encounter research through a smaller number of “big ideas”. A “big idea” is a core idea that connects subfields and links disciplinary un

This paper develops a comprehensive framework for the extension of classical and quantum mechanics to fractal settings. We begin by summarizing the classical formulation of Fractal Nambu Mechanics and then introduce its quantization. The Fractal Hamilton-Jacobi Theory is established to describe dynamical systems evolving over fractal time and space, followed by a fractal generalization of the quan

Hard turning offers a cost-effective alternative to traditional grinding, yet the tool wear progression limits the broader industrial adoption. During hard turning, the surface microstructure of AISI 52100 steel transforms into a nanocrystalline structure known as white layer, accompanied by significant surface residual stresses. With optimal cutting conditions, surfaces develop nanocrystalline mi

INTRODUCTION: The optimal depth for decompression stops is unclear. We hypothesize that a decompression stop at 1.3 bar, compared with 1.6 bar, decreases post-dive whole-body nitrogen washout volumes and venous gas emboli (VGE).METHODS: In this randomized crossover trial, divers performed wet air dives of 40 minutes at 3.4 bar (340 kPa) with a seven-minute-long decompression stop at either 1.3 bar

Mild traumatic brain injury (mTBI) is a frequent but underreported consequence of professional cycling crashes, yet current helmet testing standards primarily simulate head-first impacts, and their representation of real-world head impact scenarios is unclear. This study explores crash typology of professional cycling crashes involving head-ground contact through systematic video analysis of 128 h

Climatic factors and water and land use management mainly impact dust storm frequency and intensity. Water scarcity and a drier climate will lead to more severe and frequent dust storms in the near and far future. This makes dust storm susceptibility a dynamic phenomenon requiring spatiotemporal analyses. Regarding the complexity of this phenomenon, this chapter discusses AI-based methods for spat

As a subset of hydrological drought, groundwater drought arises from the specific features of aquifers and human-induced changes in the hydrological system. Because of the complexity of these underground systems and difficulties in obtaining field measurements, modern approaches such as machine learning and remote sensing have become popular tools for monitoring and forecasting. This chapter emplo

Water scarcity is a global problem and refers to a situation where the demand for water exceeds the available quantity over a given period or if sufficient water is available, the quality of the water is poor and its use is limited. The issue of water scarcity is very complex and is affected by a wide range of natural and anthropogenic factors. Water scarcity can arise from different aspects: (i)

Seasonality is a core aspect of life in West African artisanal fishing communities, with fisherfolk having long adapted to bumper and lean fishing seasons. In an attempt to tackle dwindling fish stocks, however, the Government of Ghana introduced a month-long closed fishing season. This paper explores the ways in which fishing communities, which are accustomed to seasonal change, make sense of and

This chapter examines the localized ambivalence surrounding the use of race in contemporary biomedicine: how race is constructed as both valid/relevant and invalid/irrelevant in a specific national setting. It is based on interviews with twenty-six expert professionals in Sweden who are directly or indirectly involved in clinical pharmaceutical research, including clinical researchers, research nu

Drought and the condition of water scarcity lead to several socio-economic, social and environmental impacts. Whatever the approaches of drought management, policymakers and planners require novel methods to analyze data and model drought processes and its connection with water scarcity. In recent years, artificial intelligence-based and earth observation approaches have been progressively d

For this project, machine learning and cutting-edge remote sensing technologies are used to create a geospatial mapping and monitoring system for agricultural pest and disease outbreaks. By combining satellite data, unmanned aerial vehicle hyperspectral evaluation, and environmental factors, the system can identify the spread of pests and diseases in real time. Data evaluation and outbreak predict

Pancreatic polypeptide (PP) is a gut-derived hormone of the neuropeptide Y family that regulates appetite, gastrointestinal motility, and energy homeostasis through activation of the neuropeptide Y4 receptor (Y4R). With the rising prevalence of obesity, understanding the molecular pharmacology and structure-function relationships of PP-Y4R interactions is essential for the development of novel ant

Denna studie undersöker förtätningsprojektet DrottningH i Helsingborg Stad med fokus på social hållbarhet i området. DrottningH är ursprungligen ett miljonprogramsområde från 1960-talet som sedan 2012 genomgår ett omfattande omvandlingsprojekt. Projektet syftade till att fördubbla antalet bostäder från cirka 1 100 till 2 200 samtidigt som det arbetas med sociala och värdefulla insatser, detta framUrban densification is increasingly being used as a strategy to meet the housing demand in growing cities while minimizing land exploitation. This bachelor thesis examines the development project “DrottningH” in Helsingborg City, one of Sweden’s first so called million program areas. The aim is to investigate whether the ongoing densification has contributed to social sustainability by analyzing a

The updated Consolidated Health Economics Evaluation Reporting Standards, CHEERS 2022, is considered the most comprehensive publication to assess reporting quality of economic evaluations (EEs) incorporating criteria of trial- and model-based studies, including emerging methods. However, it holds multiple criteria per item without clear decision rules on minimum requirements for complete reporting

Hepatitis B virus (HBV), hepatitis delta virus (HDV), and hepatitis C virus (HCV) remain leading drivers of chronic viral hepatitis, cirrhosis, hepatocellular carcinoma, and liver-related mortality. This ESCMID Study Group for Viral Hepatitis (ESGVH) narrative review summarizes recent advances and expert perspectives in the field. For HBV, emerging biomarkers such as quantitative HBs antigen, HBV

BACKGROUND: – The clinical use of risk scores to guide treatment decisions and improve clinical outcomes has rarely been prospectively evaluated. This study aimed to evaluate whether a biomarker-based ABC-AF risk score–guided multidimensional treatment strategy improves long-term outcomes in patients with AF. METHODS: – The multicenter, registry-based, randomized, controlled, open-label study enro

Documented performance featuring spherical amplification.Festival Orizzonti Autumn Edition IIAuditorium S. Cecilia, Perugia (IT)Opificio Sonoro17/11/2023From the program “Micro Macro”:Billone, Pierluigi (*1960, IT) – Sgorgo Y (for e-guitar) [2012]