Hypodopaminergic state of the nigrostriatal pathway drives compulsive alcohol use

The neurobiological mechanisms underlying compulsive alcohol use, a cardinal feature of alcohol use disorder, remain elusive even though they have often been suggested to involve dopamine (DA). Here, we found that rats expressing compulsive alcohol-related behavior, operationalized as punishment-resistant self-administration, showed a decrease in DA levels restricted to the dorsolateral territories of the striatum, the main output structure of the nigrostriatal DA pathway. We then causally demonstrated that a chemogenetic-induced selective hypodopaminergia of this pathway results in compulsive alcohol self-administration in rats otherwise resilient, accompanied by the emergence of alcohol withdrawal-like motivational impairments. These results demonstrate a major implication of tonic nigrostriatal hypodopaminergic state in alcohol addiction and provide new insights into our understanding of the neurobiological mechanisms underlying compulsive alcohol use.

Golf-Putting Performance in Skilled Golfers at Different Distances to the Hole

Golf putting occurs under highly variable conditions. Therefore, adapting to different putting distances is a challenge that the golfer faces and understanding the variables underlying performance in this task is important. The main objective of this study was to analyse the golf-putting performance in skilled golfers at different distances to the hole. Fourteen highly skilled golfers, adult male and right-handed (41.5 ± 13.2 years with an average handicap of 2.3 ± 1.7) performed the golf putting on a natural grass green, completing a total of 120 randomly ordered trials, 30 trials at each of the four different practice conditions (1, 2, 3, and 4 m away from the hole). A smart engineered putter (InPutter) was used as the data acquisition instrument to record several process variables at 100 Hz. Results indicated that golf-putting distances constrained movement organisation variables in specific ways. For example, as the distance to the hole changes, so do the informational constraints, shaping how a golfer needs to regulate performance. We concluded that the effects of different golf-putting distances required the implementation of functional solutions uniquely adjusted to each player. Furthermore, the perception that the player withdrew from the properties of the context (e.g., distance to the hole) was important to adapt the golf-putting process variables (e.g., amplitude and duration of the movement, among others). All these factors led to a decisive influence on how the golfer hit the ball and adjusted his performance. A major implication of developing a better understanding of the role of performance in golf putting is that coaches and players should allow functional movement behaviours to emerge during practice.

Impact of COVID-19 on the performance of emerging market mutual funds: evidence from India

The purpose of this paper is to examine the widely believed beating capacity of actively managed funds during the market downturn. This popular hypothesis has been tested with the performance of Indian Equity Mutual Funds during the pandemic period. The conditional alphas are estimated using lagged instrumental variables with the fixed effect/LSDV estimator and the sys-GMM estimator in contrast to the OLS estimation from a sample of 1271 schemes for 5 months from 1st March 2020 to 31st July 2020. The study’s findings indicate that the actively managed Indian mutual fund co-moves with the market and does not possess the ability to beat the market. The major implication comes from the application of fixed effect and GMM estimators for the performance evaluation of Indian Mutual Funds’ during the crisis period, and it serves the investors in deciding the profitable investment opportunities.

Modeling the dynamics of a real biological system

Infectious cells are and will continue to be a global problem, regarding the alteration of the health of individuals, the motivation for choosing this topic being the major implication the infectious cells has within the public health system and the way it acts, managing to successfully overcome barriers which the body raises to maintain cellular stability. The article brings new contributions related to the topic of dynamic modeling the immunity system, by determining a mathematical model of the interaction between the cells of the immune system and the cells of the infectious agent. Different types of behaviors are presented taking into account the entry of viral particles into the target cells, behaviors of the model without delay time, followed by time predictions for the delay time model. Finally, we compared the models and concluded that the delay time model is much more realistic, through the oscillations and fluctuations in the three components in the primary stages of infection.

Is Meta-Accuracy Consistent Across Levels of Acquaintanceship?

Some people tend to be especially accurate about the personality impressions they make, but is meta-accuracy a consistent tendency that spans levels of acquaintanceship, or is it only observed within levels of acquaintanceship? Three studies suggested that meta-accuracy is consistent among close others but not across new acquaintances and close others. This pattern was observed for observable and unobservable traits and when accounting for people who made more consistent impressions on others (i.e., high consensus). Overall, meta-accuracy seems to be circumscribed within levels of acquaintanceship. The major implication of these results is that the mechanisms for meta-accuracy and the attributes of good meta-perceivers likely differ across levels of acquaintanceship.

Market Integration and Causality: An Application to the Major Apple Markets in India

Market integration and prices of fruit crops such as apple play an important role in determining the production decisions of apple farmers. In this context, the present study examines the degree of spatial market integration and price transmission across five major apple markets of the country, viz. Shimla, Chandigarh, Delhi, Bengaluru and Mumbai by adopting Johansen’s Cointegration Test, Grangers Causality and Impulse Response Function. The outcomes of the study strongly buttress the cointegration and interdependence of the apple markets in India. To get additional information on whether and in which direction price transmission is occurring between market pairs, Ganger’s Causality Test has been used, which has confirmed Shimla to be the price determining market as it has causal relations with all the selected markets. The Impulse Response Function supported that all the selected markets responded well to standard deviation shock given to any other market. The major implication of the study is further improvement in market integration situation through dissemination of price and arrival data efficiently and developing communication means with in the markets by the government.

Rethinking the notion of the high-performing education system: A Daoist response

This article challenges the dominant notion of the ‘high-performing education system’ and offers an alternative interpretation from a Daoist perspective. The paper highlights two salient characteristics of such a system: its ability to outperform other education systems in international large-scale assessments; and its status as a positive or negative ‘reference society’. It is contended that external standards are applied and imposed on educational systems across the globe, judging a system to be high- or low- performing, and consequently worthy of emulation or deserving of criticism. Three cardinal Daoist principles that are drawn from the Zhuangzi are expounded: a rejection of an external and oppressive dao (way); the emptying of one’s heart-mind; and an ethics of difference. A major implication is a celebration of a plurality of high performers and reference societies, each unique in its own dao but converging on mutual learning and appreciation.

GIS-Based Kernel Analysis for Tourism Flow Mapping

The variation of tourism flow and its spatial representation are indispensable for transport companies, accommodation facilities and future estimations regarding the international arrivals. The major implication for tourism flow mapping is related to the country of origin of tourists, their liquid assets, and tourism statistical database. The approach of tourism flow mapping representation, at least using lines and density, should be based on the spatial characteristics of the objects. In this study, the database consisting of international arrivals in different cities of Romania was used as an example. Thus, GIS-based Kernel density of the tourists’ flow was proposed. To illustrate the international demand, data on arrivals for 33 countries over the period 2015-2017 were used. ‘XY To Line’ and ‘Kernel Density’ functions served to create the convergence lines between the origin countries and Romania. The very high density was found for the European countries with an increase of 13% and 25% between 2015 and 2016, as well as between 2015 and 2017. Map analysis indicated an increase of the density area by 0.7% for 2016 and 1.7% for 2017. The proposed methods, including lines and density, contribute to the mapping of the flow of the international arrivals in Romania.