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Academic debates on law and society relations in authoritarian regimes continue to revolve around issues of the dysfunctional legal system, corruption and informality, clientelistic legal culture, and how the authoritarian regimes in this region deploy law as a means for suppressing dissent. However, in this article, we argue that the legal landscape of authoritarian regimes should not be viewed f

Background The efficacy of the interception and purification mechanism for low-dose toxic contaminants in riverbeds, which serve as a link between surface water and groundwater, is of paramount importance in ensuring groundwater safety, particularly considering the replenishment of reclaimed water. The specific objective of this work is to identify the variation of interception efficiency and tran

We present a deep learning method for accurately localizing the center of a single corneal reflection (CR) in an eye image. Unlike previous approaches, we use a convolutional neural network (CNN) that was trained solely using synthetic data. Using only synthetic data has the benefit of completely sidestepping the time-consuming process of manual annotation that is required for supervised training

Considering recent developments in the energy sector, further reduction of electricity cost and flattening of the electric power demand curve are needed. We have focused on an autonomous electric heater control system that can easily be implemented in existing buildings without strict comfort requirements. Examples are winter heating of warehouses and vacation homes, and heat drying of buildings u

Cardiovascular magnetic resonance (CMR) can accurately measure left ventricular (LV) mass, and several measures related to LV wall thickness exist. We hypothesized that prognosis can be used to select an optimal measure of wall thickness for characterizing LV hypertrophy. Subjects having undergone CMR were studied (cardiac patients, n = 2543; healthy volunteers, n = 100). A new measure, global wal

Concerns about age-related biases in Artificial Intelligence (AI)’s design, development, and data generation raise alarms for potential social inequalities. AI art-generators like MidJourney, known for creating distinctive and artistic images, have gained attention recently. However, the critical examination of their potential biases remains limited. Our study aims to investigate age-related bias

The present study focused on a Chinese reality show, Forget Me Not Café, which brought together five older people (aged 65 and older) living with dementia to run a pop-up restaurant and intended to reduce the stigma of dementia. The study aims to explore how the reality-show participants describe dementia in older people and how their views relate to the macrosocial context of dementia and older p

INTRODUCTION: Central venous catheters are indispensable in modern healthcare. Unfortunately, they are accompanied by minor as well as major complications, leading to increased morbidity, mortality and costs. Immediate insertion-related complications (mechanical complications) have decreased due to the implementation of real-time ultrasound guidance, but they still occur and additional efforts to

INTRODUCTION: Platelet transfusions are frequently used in intensive care unit (ICU) patients, but contemporary epidemiological data are sparse. We aim to present contemporary international data on the use of platelet transfusions in adult ICU patients with thrombocytopenia.METHODS: This is a protocol and statistical analysis plan for a post hoc sub-study of 504 thrombocytopenic patients from the

A depersonalization episode occurred unexpectedly during an electroencephalogram (EEG) recording for a study.Experience reports tracked the time course of this event and, in conjunction, with EEG data, were analyzed. Thesource activity across canonical frequency bands was analyzed across four periods ended by retrospectiveexperience reports (depersonalization was reported in the 2nd period). Delta

Study region: Bihar State, located in India's eastern region, displays significant spatial and temporal variation in rainfall during the Indian Summer Monsoon period with subsequent flooding problems. Study focus: Recent severe flooding problems highlight the need for improved spatial precipitation monitoring to enable effective flood management and reduce water-related disasters. To address this

Study region: A densely populated urban area located in the 13th municipality of Tehran metropolis, Iran. Study focus: Bioretention cell is one of the low-impact development methods that aims to restore the hydrological cycle in city areas before urban development. However, the bioretention cell's hydrological performance can vary in urban environments. As a result, this research investigated the

Although mRNA SARS-CoV-2 vaccines are generally safe and effective, in certain immunocompromised individuals they can elicit poor immunogenic responses. Among these individuals, people living with HIV (PLWH) have poor immunogenicity to several oral and parenteral vaccines. As the gut microbiome is known to affect vaccine immunogenicity, we investigated whether baseline gut microbiota predicts immu

We study experimentally and with wave optics modelling the absorption of light in CsPbBr3perovskite nanowire arrays fabricated into periodic pores of an anodized aluminum oxide matrix, for nanowire diameters from 30 to 360 nm. First, we find that all the light that couples into the array can be absorbed by the nanowires at sufficient nanowire length. This behavior is in strong contrast to the expe

This entry offers a short description of the fundamental assumptions of grammar within the broad framework of Cognitive Linguistics. It presents the principles of usage-based cognitive grammar (CG), classic works in the framework, and more recent treatments of grammatical structure and content in the form of examples of grammatical notions. Central to the CG approach is the meaningful functioning

Tests of human brain circuit function typically require fixed equipment in lab environments. We have developed a smartphone-based platform for neurometric testing. This platform, which uses AI models like computer vision, is optimized for at-home use and produces reproducible, robust results on a battery of tests, including eyeblink conditioning, prepulse inhibition of acoustic startle response, a