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\"This book provides an introduction to the legal system in Hong Kong. Understanding Hong Kong's legal system today requires an understanding of the British origins of many of its laws and legal institutions as well as of the uniquely Hong Kong developments in the application of the Basic Law under 'one country, two systems'. These features of the Hong Kong legal system are explored in this book, which takes into account developments in the two decades or so of the new legal framework in Hong Kong since the 1997 handover. In providing an exposition of the legal institutions in Hong Kong and legal method under Hong Kong's legal system (including practical guidance and examples on case law, statutory interpretation and legal research), this book is ideal for first-year law students, students of other disciplines who study law and readers who have an interest in Hong Kong's unique legal system\"-- Provided by publisher.

In recent decades, the Variational AutoEncoder (VAE) model has shown good potential and capability in image generation and dimensionality reduction. The combination of VAE and various machine learning frameworks has also worked effectively in different daily life applications, however its possible use and effectiveness in modern game design has seldom been explored nor assessed. The use of its feature extractor for data clustering has also been minimally discussed in the literature neither. This study first attempts to explore different mathematical properties of the VAE model, in particular, the theoretical framework of the encoding and decoding processes, the possible achievable lower bound and loss functions of different applications; then applies the established VAE model to generate new game levels based on two well-known game settings; and to validate the effectiveness of its data clustering mechanism with the aid of the Modified National Institute of Standards and Technology (MNIST) database. Respective statistical metrics and assessments are also utilized to evaluate the performance of the proposed VAE model in aforementioned case studies. Based on the statistical and graphical results, several potential deficiencies, for example, difficulties in handling high-dimensional and vast datasets, as well as insufficient clarity of outputs are discussed; then measures of future enhancement, such as tokenization and the combination of VAE and GAN models, are also outlined. Hopefully, this can ultimately maximize the strengths and advantages of VAE for future game design tasks and relevant industrial missions.

The ability to control the speed of movement is compromised in neurological disorders involving the basal ganglia, a set of subcortical cerebral nuclei that receive prominent dopaminergic projections from the midbrain. For example, bradykinesia, slowness of movement, is a major symptom of Parkinson's disease, whereas rapid tics are observed in patients with Tourette syndrome. Recent experimental work has also implicated dopamine (DA) and the basal ganglia in action timing. Here, I advance the hypothesis that the basal ganglia control the rate of change in kinaesthetic perceptual variables. In particular, the sensorimotor cortico-basal ganglia network implements a feedback circuit for the control of movement velocity. By modulating activity in this network, DA can change the gain of velocity reference signals. The lack of DA thus reduces the output of the velocity control system which specifies the rate of change in body configurations, slowing the transition from one body configuration to another.

Key Points The basal ganglia are a set of subcortical nuclei in the cerebrum that are involved in the integration and selection of voluntary behaviour. The striatum, the major input station of the basal ganglia, has a key role in instrumental behaviour — learned behaviour that is modified by its consequences. Reward-guided instrumental behaviours usually start as goal-directed actions that are controlled by the anticipation of the outcome, but under certain conditions these behaviours can become stimulus-driven habits, which are not controlled by outcome expectancy. Habits can be operationally defined as instrumental behaviour that is impervious to changes in the value of the outcome and in the causal contingency between action and outcome. Behavioural assays that directly manipulate these variables have become indispensable in the analysis of habit formation. The dorsal striatum is traditionally viewed as a substrate for stimulus–response habit learning, but more recent evidence indicates that this view requires modification. A more detailed analysis using modern behavioural assays reveals considerable functional heterogeneity in the dorsal striatum. The dorsolateral, or sensorimotor, striatum (DLS) and the dorsomedial, or associative, striatum (DMS) differ in their anatomical connectivity, distribution of key receptors, and rules of synaptic plasticity. They can also be doubly dissociated functionally, with the DLS being crucial for stimulus-driven habits and the DMS being crucial for goal-directed actions. The DMS and DLS belong to distinct cortico-basal ganglia networks, mediating actions and habits, respectively. The process of habit formation in instrumental learning finds its neural correlate in a shift of control from the associative to the sensorimotor cortico-basal ganglia network. Recent work has shed light on how goal-directed actions are transformed into habitual responses. Yin and Knowlton outline a framework for our understanding of habit formation based on behavioural studies and the anatomy and physiology of the basal ganglia circuitry. Many organisms, especially humans, are characterized by their capacity for intentional, goal-directed actions. However, similar behaviours often proceed automatically, as habitual responses to antecedent stimuli. How are goal-directed actions transformed into habitual responses? Recent work combining modern behavioural assays and neurobiological analysis of the basal ganglia has begun to yield insights into the neural basis of habit formation.

Based on the institutional theory, this article attempts to examine two consecutive questions regarding the impact of various factors on corporate decision in environmental information disclosure (EID): (1) whether or not to disclose; and (2) the level of disclosure. The relevance of these factors is empirically tested using data collected from publicly listed manufacturing companies from 2006 to 2008 in China. Some interesting findings appear. We find that firms that are state-owned, those that operate in environmentally sensitive industries, those having more industrial peers engaged in EID, and those with better reputation are more likely to disclose environmental information. When it comes to the content of EID, variables that attempt to capture external institutional pressures exhibit either no or weak explanatory power. Only the variable of organizational image and reputation is demonstrated to have a significant impact on both the act and the content of EID. This study provides a snapshot of the dialogues between constituencies in the organizational field and EID development.

Reprogrammed metabolism is one of the hallmarks of cancer. The dysregulation of glycolysis in cancer has been heavily studied. However, it remains largely unclear how other metabolic processes are regulated in cancer cells. Here we show that microRNA-182 (miR-182) suppresses pyruvate dehydrogenase (PDH) kinase 4 (PDK4) and promotes lung tumorigenesis. miR-182 is dysregulated and inversely correlated with PDK4 in human lung adenocarcinomas. The miR-182- PDK4 axis regulates lung cancer cell growth by modulating the activity of PDH, the gatekeeping enzyme of pyruvate flux into acetyl-CoA, and subsequently de novo lipogenesis of cancer cells. Suppression of lipogenesis by silencing ATP citrate lyase ( ACLY ) and fatty acid synthase ( FASN ) or by chemical inhibitors diminishes the effects of miR-182- PDK4 in tumor growth. Alteration of de novo lipogenesis also affects reactive oxygen species (ROS) production and the downstream JNK signaling pathway. Hence, our work suggests that the miR-182- PDK4 axis is a crucial regulator of cancer cell metabolism and a potential target for antitumor therapy.

This study aims to assess the effectiveness of a multidomain intervention program on the change in functional status of hospitalized older adults. This single-arm, prospective, non-randomized interventional study investigates the efficacy of a multidomain interventional program including cognitive stimulation activity, simple exercises, frailty education, and nutrition counseling. At a tertiary hospital in southern Taiwan, 352 eligible patients were sequentially enrolled. Included patients were aged ≥65 years (mean age, 79.6 ± 9.0 years; 62% male), scored 3–7 on the Clinical Frailty Scale (CFS), and were hospitalized in the geriatric acute ward. Those receiving standard care (physical rehabilitation and nutrition counseling) during January–July 2019 composed the historical control group. Those receiving the multidomain intervention during August–December 2019 composed the intervention group. The primary outcome was the change in activities of daily life (ADL) and frailty status, as assessed by Katz Index and Clinical Frailty Scale, with using the generalized estimating equation model. The length of hospital stay, medical costs, and re-admission rates were secondary outcomes. Participants undergoing intervention (n = 101; 27.9%) showed greater improvements in the ADL and CFS during hospitalization (ADL adjusted estimate, 0.61; 95% CI, 0.11–1.11; p = 0.02; CFS adjusted estimate, −1.11; 95% CI, −1.42–−0.80; p < 0.01), shorter length of hospital stay (adjusted estimate, -5.00; 95% CI, −7.99–−2.47; p < 0.01), lower medical costs (adjusted estimate, 0.58; 95% CI, 0.49–0.69; p < 0.01), and lower 30- and 90-day readmission rates (30-day adjusted OR [aOR], 0.12; 95% CI, 0.27–0.50; p < 0.01; 60-day aOR, 0.04; 95% CI, 0.01–0.33; p < 0.01) than did controls. Participation in the multidomain intervention program during hospitalization improved the functional status and decreased the hospital stay length, medical costs, and readmission rates of frail older people.

The super τ-charm facility (STCF) is an electron−positron collider proposed by the Chinese particle physics community. It is designed to operate in a center-of-mass energy range from 2 to 7 GeV with a peak luminosity of 0.5 × 10 35 cm −2·s −1 or higher. The STCF will produce a data sample about a factor of 100 larger than that of the present τ-charm factory - the BEPCII, providing a unique platform for exploring the asymmetry of matter-antimatter (charge-parity violation), in-depth studies of the internal structure of hadrons and the nature of non-perturbative strong interactions, as well as searching for exotic hadrons and physics beyond the Standard Model. The STCF project in China is under development with an extensive R&D program. This document presents the physics opportunities at the STCF, describes conceptual designs of the STCF detector system, and discusses future plans for detector R&D and physics case studies.

We examined the contribution of the nigrostriatal DA system to instrumental learning and behavior using optogenetics in awake, behaving mice. Using Cre-inducible channelrhodopsin-2 (ChR2) in mice expressing Cre recombinase driven by the tyrosine hydroxylase promoter (Th-Cre), we tested whether selective stimulation of DA neurons in the substantia nigra pars compacta (SNC), in the absence of any natural rewards, was sufficient to promote instrumental learning in naive mice. Mice expressing ChR2 in SNC DA neurons readily learned to press a lever to receive laser stimulation, but unlike natural food rewards the lever pressing did not decline with satiation. When the number of presses required to receive a stimulation was altered, mice adjusted their rate of pressing accordingly, suggesting that the rate of stimulation was a controlled variable. Moreover, extinction, i.e. the cessation of action-contingent stimulation, and the complete reversal of the relationship between action and outcome by the imposition of an omission contingency, rapidly abolished lever pressing. Together these results suggest that selective activation of SNC DA neurons can be sufficient for acquisition and maintenance of a new instrumental action.

Abstract Background Neutrophil gelatinase-associated lipocalin (NGAL) is a biomarker for the early prediction of renal damage and the progression of chronic kidney disease (CKD) in humans and dogs. Hypothesis Neutrophil gelatinase-associated lipocalin also may play a role in the progression of CKD in cats. Animals Eighty CKD and 18 control cats. Methods Cats were categorized into different stages according to the International Renal Interest Society (IRIS) staging system. Urine and plasma samples were collected and tested for NGAL concentrations using an in-house sandwich ELISA system and urinary NGAL (uNGAL)-to-creatinine ratio (UNCR) was determined. Cats in which serum creatinine concentration increased by >0.5 mg/dL from baseline within 30 days were defined as exhibiting progression. Results The urinary NGAL and UNCR of CKD cats were significantly higher than those of healthy cats (P < .05) and were highly correlated with serum creatinine concentration. The area under the receiver operating characteristic curve (AUROC) for uNGAL, when predicting the progression of CKD, was 0.71 and the best cutoff value was 2.06 ng/mL with a sensitivity of 76.9% and a specificity of 75%. The AUROC for UNCR when predicting the progression of CKD was 0.79 and the best cutoff value was 4.08 × 10−6 with a sensitivity of 76.9% and specificity of 79.2%. Cats with UNCR values higher than their cutoffs experienced significantly faster deterioration with a median of 19 days. Conclusions Both urinary NGAL and UNCR are useful markers for the prediction of CKD progression in cats.