Important Channel Research Articles

Exploring social touch in autistic and non-autistic adults via a self-report body-painting task: The role of sex, social context and body area.

What is already known about the topic?At least in neurotypical individuals, social touch represents an important channel for emotional communication associated with social bonding and pain/anxiety modulation. Autistic adults report to avoid social touch more and to have different tactile sensitivity than their non-autistic comparisons.What this paper adds?Few studies specifically investigated social touch in autistic individuals, and none of them examined the role of participants' sex, social context in which social touch occurs, and specific body areas being touched. In our study, adult participants reported how pleasant, erogenous and appropriate they would consider touches delivered by another person over their entire body in intimate (date), friendly (dance class) and professional (physiotherapy-massage session) social contexts. Autistic adults reported social touch to be less pleasant, erogenous and appropriate specifically in intimate and friendly social contexts and in body areas typically touched in these situations. Importantly, autistic females seem more at risk to experience unpleasant social touch as, although they considered it more unpleasant than non-autistic females and autistic males, they did consider it similarly appropriate in professional social contexts where touch is normed to be socially appropriate.Implications for practice, research or policyOur results might improve awareness and understanding about autistic adults' different, and often more discomforting, experience of social touch and thus help consider and respect it during everyday social interactions. Our results might also benefit future research investigating, for instance, the neural underpinnings of social touch differences in autism or aiming at developing support for autistic individuals seeking help in the diverse spheres of social touch.

Misallocation, Productivity and Development with Endogenous Production Techniques

We study misallocation and sectoral productivity in a heterogeneous firms model with generalized production. Different from neo-classical models of production, our model endogenizes production-techniques and introduces firm-specific technique-distortions alongside factor- and scale-dependent distortions. Applying this micro-founded framework to firm-level data (US, China and India), we quantify that, for a broad range of manufacturing industry clusters, technique distortions generate more severe misallocation and sectoral TFP losses than capital and output distortions, accounting for about three quarters of the detrimental productivity effects. We thus uncover a quantitatively important channel for productivity growth and economic development resulting from within-firm organization of production.

Bank Credit and Economic Growth: Evidence from OIC Countries

This study aims to explore the impact of bank credit along with three other independent variables, namely population, employment, and inflation, on economic growth in 55 Organization of Islamic Cooperation (OIC) member countries. The data used is annual panel data from 2010 to 2021, obtained from SESRIC OIC. The analysis method applied in this study is static panel data regression. The results show that each independent variable, such as population, employment, inflation, and total bank credit, has a significant effect both simultaneously and partially on the economic growth variable (GDP). Bank credit facilitates the efficient allocation of resources from savers to borrowers who have productive investment opportunities, thereby promoting economic growth. Second, banks act as an important channel in the transmission of monetary policy by providing financial intermediation, receiving and utilizing large amounts of public funds, and creating money supply. Third, bank credit expansion is associated with higher economic growth across industries, encouraging tangible investment but not intangible investment in more debt-dependent industries.

Does NEEQ’s tiered system enhance corporate labour share？

ABSTRACT In the context of improving the multi-level capital market structure and promoting common prosperity, we examine the impact of NEEQ’s (National Equities Exchange and Quotations) tiered system on corporate labour share. We find that the corporate labour share significantly increases when the firm enters the innovative layer from the common layer, which indicates that tiered system can optimise the structure of labour income distribution and facilitate employees to better share the enterprises’ achievements. Our further evidences indicate that (1) this positive relation is more pronounced for firms whose stock liquidity improves more; (2) reducing the cost of capital is an important channel through which the tiered system promotes corporate labour share; and (3) the tiered system visibly affects labour share for firms facing higher financing constraints, meeting lower information transparency, or with a higher complementary effect between labour and capital factors.

СТРАТЕГІЇ ТА ПЕРСПЕКТИВИ РОЗВИТКУ ПІДПРИЄМСТВ ТОРГІВЛІ

The article considers the state of development of trade enterprises. The essence of development strategies of trade enterprises is revealed. It has been found that under the influence of various internal and external factors the situation in the trade market is constantly changing. The high degree of intensity of competition and the large number of foreign producers in the market raise the issue of improving the company’s operations and developing strategic directions for its development. This, in turn, leads to the need to constantly monitor the competitive position of the enterprise in the market environment, which determines the strategy of behavior being developed in the market. Thus, the assessment of the competitive position of an enterprise is one of the most important points that determines the success of its work. The relevance of the analyzed topic is that successful business is impossible to imagine without well-built business processes that set the necessary pace of enterprise development. Business processes are defined in order to identify a promising direction of development that solves the problems of the organization: competitiveness, market position, production, profit, etc.Under such conditions, the need to conduct new research, identify shortcomings and ways to overcome them becomes particularly relevant, given the importance and impact of the trade market on the development of the Ukrainian economy as a whole. The article establishes that in difficult wartime conditions in Ukraine, trade enterprises play an important role in ensuring the livelihood of the population and the military. The author analyzes the process of trade as an important sales channel for enterprises producing goods and services, as well as an opportunity for business development, creation of new jobs, increase in production and economic growth. Trade is an important sales channel for enterprises producing goods and services, as well as promoting business development, creating new jobs, increasing production and economic growth.

Is information evaluated subjectively? Social media has changed the way users search for medical information.

In recent years, social media platforms, such as TikTok and RedBook, have emerged as important channels through which users access and share medical information. Additionally, an increasing number of healthcare professionals have created social media accounts through which to disseminate medical knowledge. This paper explores why users obtain their medical information from social media and how the signals transmitted by social platforms affect use behaviours. We combined the elaboration likelihood model and signal theories to construct a comprehensive model for this study. We used simple random sampling to investigate users' behaviours related to social media usage. A total of 351 valid questionnaires were completed by people in Mainland China. The participants were enthusiastic about social media platforms and had searched for health-related information on social media in the past three months. We analysed the data using partial least squares structural equation modelling to investigate the influence of two pathways and two signals (objective and subjective judgement pathways and positive and negative signals) on social media use behaviours. When seeking medical information on social media, users tend to rely on subjective judgment rather than objective judgment, although both are influential. Furthermore, in the current era, in which marketing methods involving big data algorithms and artificial intelligence prevail, negative signals, such as information overload, have a more pronounced impact than positive signals. This study demonstrates that the subjective judgment path has a greater impact on users than the objective judgment path. Platforms are encouraged to focus more on users' emotional needs. The paper also discusses the negative impact of information overload on users, sounding an alarm for enterprises to control their use of homogeneous information resulting from the excessive use of big data algorithms.

Does Imported Product Variety Improve Enterprises’ Energy Efficiency? ——Based On The Total Factor Method

Abstract Based on the total factor method, this paper explores the relationship between imported product variety and enterprises’ energy efficiency by using Statistics from China. The study finds that the types of imported products considerably improve the energy efficiency of enterprises. After accounting for endogeneity, changing test methods, and using different measures, the core conclusion remains valid. Mechanism tests indicate that the technology spillover effect and competition effect are two important channels through which imported product variety enhances enterprises’ energy efficiency. Heterogeneity test results show that the types of imported products have a greater impact on improving energy efficiency.

The impact of intellectual property rights protection on green innovation: A quasi-natural experiment based on the pilot policy of the Chinese intellectual property court.

In the context of high-quality economic development in China, it is important to promote green innovation development by protecting intellectual property rights (IPR). Taking the pilot policy of the intellectual property courts in Beijing, Shanghai, and Guangzhou for example in a quasi-natural experiment, this article examines the effect of IPR protection on the development of corporate green innovation and its mechanisms by using a difference-in-differences model and a mediating effect model based on Chinese enterprise data from 2011 to 2019. The study found that first, IPR protection promotes enterprise green technological innovation; second, IPR protection affects green innovation through enterprise financing constraints and R&D investment; that is, increasing enterprise R&D investment and alleviating enterprise financing constraints are two important channels through which IPR protection promotes enterprise green technological innovation.

Unveiling the oxygen addition kinetics of 1-Hydroxy-2-Hexyl and 2-Hydroxy-1-Hexyl at low temperature

Hydroxyalkyl radicals formed from addition of OH to alkenes play a crucial role in the oxidation of alkenes. The oxygen addition kinetics of 1‑hydroxy-2-hexyl and 2‑hydroxy-1-hexyl at low temperature has been investigated by using quantum chemical calculations coupled with the RRKM/master equation simulations. The main reaction pathways that occur on the potential energy surfaces of HOC6H12 + O2 were studied at the CCSD(T)/CBS(cc-pV[T,Q]Z)//M06–2X/jun-cc-pVTZ level. Rate coefficients of key reactions have been determined at the high-pressure limit and the falloff region. The isomerizations of hydroxyhexylperoxy to hydroperoxy-hydroxyalkyl are found to be of great importance. The formed hydroperoxy-hydroxyalkyl radicals can either dissociate rapidly into aldehydes and ketones, or be accumulated to participate in the second oxygen addition. The formation of formaldehyde, n-pentanal and OH via the Waddington mechanism is among the most important product channels. H2O elimination pathways are identified for the most stable HOQOOH intermediates, with the radical site at α-carbon to the hydroxy group. The present study recognizes those hydroperoxy-hydroxyalkyl radicals that are able to undergo the second oxygen addition. Kinetic analysis reveals that the facile formation via 1,5 or 1,6 H-transfer and lack of fast decomposition pathways combine to enable the accumulation of particular hydroperoxy-hydroxyalkyl radicals, facilitating their involvement in subsequent chain-branching chemistry. This study further illuminates the intricate understanding of the low temperature chemistry of larger alkenes.

Theoretical calculations of the performance of Li7NbO6 and its doped Phases as solid electrolytes.

Materials with Hexagonal Close Packed (HCP) anionic configuration contain promising lithium-ion conductors. In the HCP anionic structure, when the non-lithium cations occupy the octahedral sites (the important diffusion channels for lithium ions), it is not known whether the nature of fast lithium-ion diffusion will be retained. This work systematically studied the lithium-ion diffusion properties of Li7NbO6 as well as its doped phases on the basis of first-principles calculations. The calculation results show that the lithium-ion conductivity of Li7NbO6 is 0.008 mS cm-1 at room temperature, while the doped phase Li55Nb7WO48 with W6+ doping at the Nb sites possesses a higher lithium-ion conductivity of 0.28 mS cm-1 at room temperature and an activation energy of 0.34 eV. The lithium-ion diffusion mechanism in Li7NbO6 and its doped phase involves concerted migration; besides, they are poor conductors of electrons regardless of whether doping is applied. In addition, W6+ doping increases the reduction limit of the electrochemical window due to its strong oxidizing property; therefore, an artificial SEI film needs to be applied to reduce interfacial decomposition. The discovery and characterization of the new fast lithium-ion conductor Li55Nb7WO48 provide theoretical guidance for the development of new solid electrolytes.

Study of Text Patterns Found on Social Networks of Mental Health Reactions to COVID-19.

SARS-CoV-2 is an infectious disease caused by the coronavirus that was first reported in December 2019 in China and immediately spread around the world causing a pandemic, which has caused countless deaths and cases in global health. Mental health has not gone untouched by this pandemic; due to the lockdown and the vast amounts of information disseminated, the Panamanian population has begun to feel the collateral effects. We propose classifying tweets using a machine learning (ML) and deep learning (DL) approach and pattern search to make recommendations to the emotional and psychological reactions of the Panamanian population. Our study has been carried out with a corpus in spanish extracted from X for the automatic classification of texts, from which we have categorized, through the ML&DL approach, the tweets about Covid-19 in Panama, in order to know if the population has suffered any mental health effects. We can say that the ML models provide competitive results in terms of automatic identification of texts with an accuracy of 90%. X is a social network and an important information channel where you can explore, analyze and organize opinions to make better decisions. Text mining and patron search are a natural language processing (NLP) task that, using ML&DL algorithms, can integrate innovative strategies into information and communication technologies.

Towards a News Recommendation System to increase Reader Engagement through Newsletter Content Personalization

In the big data era, recommendation systems (RS) play a pivotal role to overcome information overload. In the digital landscape publishers need to optimize their editorial strategies to increase reader engagement and digital revenue. Newsletters emerged as an important conversion channel to engage readers as they provide a personalized experience by building habits. However, the lack of human resources and the need for more content assertiveness per reader lead publishers to search for an advanced analytics solution. We address this problem by proposing a research agenda on news recommendation algorithms inspired in the table d’hôte approach and the concept of ‘personalized diversity’. Thus, the reader receives a personalized newsletter where he can discover informative and surprising content. The goal is to offer a self-contained package that retains readers, increases loyalty and consequently, the propensity to subscribe. A live controlled experiment with readers from the Portuguese newspaper Público was performed and a new approach is proposed. We study the effects of content recommendations on the behavior of newsletter subscribers. Findings reveal that serendipitous content tends to increase reader engagement. Finally, we propose a table d’hôte approach and new challenges are identified for future research.

Оцінювання дієвості сайтів органів місцевого самоврядування на основі вебаналітики

In today’s world, websites have become an important channel of communication between local governments and citizens. Effective websites of local self-government bodies can help improve the provision of services to the population, raise citizens’ awareness of the government’s activities and stimulate citizens’ participation in decision-making. The aim of this study is to assess the effectiveness of the websites of local self-government of Rivne region with use of web analytics. The object of the study is 64 territorial communities of Rivne region. The study showed that the websites of local self-government in Rivne region have a number of problems that negatively affect their effectiveness. These problems include: 1) low attendance. Many local government websites have a low number of visitors, which indicates that they are not effective tools for informing citizens; 2) insufficient quality of content. The content on many local government websites is irrelevant, uninteresting and unpractical for users; 3) poor technical optimization. Many local government websites load slowly, are not optimized for mobile devices, and are not accessible to people with disabilities. However, the study also showed that the websites of rural and settlement communities have a higher traffic rate compared to urban communities. This may be due to the fact that in rural areas people have fewer alternative sources of information about the activities of the authorities. The study also identified a number of factors influencing the effectiveness of local government websites. These factors include: the relevance of the content; download speed; mobile optimization; user experience. The results of the study highlight the importance of an integrated approach to improving the effectiveness of local government websites. Local governments that want to have effective websites should improve the quality of content, optimize their websites technically, use SEO and social networks, and involve citizens in the development and improvement of their websites.

Media influence on mass perception and psychological state of citiz

Nowadays, the rapid development of technology has contributed to the rapid spread of social media among citizens of different countries. This has fundamentally changed the way people interact and communicate with each other, and how they receive information. At the same time, people's trust in and use of different media can affect their emotional and psychological state. Therefore, the purpose of this study was to assess the impact of media on mass perception and the psychological state of citizens. Given the enormous impact that media has on society, it is crucial to understand the psychosocial mechanisms by which symbolic communication affects human thinking, perception, and behavior. The article determines that traditional media (Internet resources, social networks, television, newspapers and magazines, etc.) have become an important channel for receiving information. The results demonstrate the impact of news content on the moods and opinions of the national audience. That is why modern society draws all new trends, fashions and whims from the media. It has been established that the media have a significant impact on the behavior of people in society. In addition to the positive impacts on business, politics and society, there are some negative ones, such as cyberbullying, privacy issues and fake news. Mass media are used for social intervention to disseminate information and change social behavior. This is the prosocial effect of media. There is a clear link between watching violent videos in the media and the upward trend in violence. We observe aggression among friends, relatives and other people makes the viewer more prone to aggressive behavior People who watch a lot of TV tend to overestimate the amount of violence and crime that occurs in the world. Thus, it has been established that the media has a very large impact on changing the current and socio-psychological part of society. This change causes a movement that can be detected and directed in a positive or negative direction.

Heterogeneous and short-term effects of a changing climate on farmers' labor allocation: An empirical analysis of China.

There is growing interest in the impact of climate change on agricultural labor supply in China, rigorous empirical evidence for this issue is insufficient. This potentially important channel through which climate change may affect agricultural labor supply has not received attention. Using a panel survey data of 100 administrative villages and 2977 farmers in China, we find that temperature and precipitation do affect farmers' labor allocation, 1°C increase from the current average temperature will reduce agricultural labor supply by 0.252%, and 1mm increase from the current average rainfall will reduce agricultural labor supply by 0.001%. Climate change also leads to the decline of net agricultural income, which creates distorted incentives for households to over-supply labor to non-agriculture. Moreover, farmers with relatively lower risk tolerance preferred to reduce the current supply of agricultural labor when net agricultural income is projected to decrease under climate change scenarios.

Chiny zapożyczone i zapośredniczone. Głos publicystyczny Elizy Orzeszkowej w sprawie równouprawnienia

The article aims to present Eliza Orzeszkowa’s unusual publicist voice on the question of women’s equal rights. The unusualness is related to her use of Confucius as a figure of transfer, as well as her referring to the scientific and doctrinal fragments of his Chinese philosophical and social teachings. Eliza Orzeszkowa’s passion for journalism resulted in a series of statements on the so-called woman question. In 2020, non-redacted parts of the manuscript of a study on women’s equal rights, found in Vilnius by Iwona Wiśniewska, were published in print. The writer devoted first parts of her text to the position of woman in ancient cultures. She referred, interalia, to Confucius’ philosophical thought, which she adopted as one of the points of departure for defining her own vision of equal rights. However, she drew on the Confucian themes from secondary sources, citing the study of Edward Prądzyński. An important channel for transmitting the Confucian thought to Europe was the thought of the Enlightenment, which, as Grażyna Borkowska argues, is crucial for the discussion of the writer’s position on the woman question.

Otkrivanje istorijskih zakona uspona i pada ljudske civilizacije i ukazivanje na put za napredak civilizacije - teorijska konotacija i praktična vrednost Globalne civilizacijske inicijative

Analyzing strategic advantages and the depth of the Global Civilization Initiative and its role in the modernization of humanity, through the practice of the Chinese path and respect for diversities, the author offers a scientific vi-sion of further development of the planet and directions of progress. The opening of the ancient Silk Road provided important channels for the exchange of cultures, goods and information between the East and the West, laying a strong foundation for further cooperation of civilizations. Even after numerous social, political and economic changes in the international environment, China remains firm in pursuing independent foreign politics of peace, vigorously advocating Five Principles of Peaceful Coexistence ad for continued expansion of friendly exchanges and mutually useful cooperation with the countries throughout the world which have different cultures and ideologies. The global security deficit can be solved only through honest understanding and respect, and that is why China insists on mutual consultation and understanding with the promotion of shared progress through cooperation.

Import Policy Uncertainty and Innovation

AbstractThe Chinese government has emphasized innovation as the primary driving force for economic development in the new era. This paper studies the effect of import policy uncertainty (IPU) on the innovation activity of Chinese manufacturing firms. It establishes a simple model to show that the presence of IPU encourages innovation and that a reduction in IPU discourages innovation. It distinguishes the almost unnoticed IPU reduction from tariff reduction on China's WTO accession and develops a novel difference‐in‐differences specification that identifies the negative effect of IPU reduction on innovation using updated data for Chinese manufacturing and patent filings. The result holds after a battery of identification assumptions and robustness checks are considered. The import channel explains about two thirds of the effect of IPU on innovation, but not all of the effect. Finally, this paper examines the effect across firms of different levels of productivity and ownership types and patents of different categories.

ВЛИЯНИЕ ИНТЕРНЕТ-КУЛЬТУРЫ НА ЦЕННОСТИ СТУДЕНТОВ И МЕРЫ ПРОТИВОДЕЙСТВИЯ

The Internet has become an important part of students' academic life and an important channel for obtaining knowledge and information for modern students. Internet culture is like a double-edged sword, which has an increasingly profound impact on student values and places higher demands on education at colleges and universities. This article examines how to help students form the right values, take full advantage of the positive role of Internet culture, minimize its negative role.

Change Representation and Extraction in Stripes: Rethinking Unsupervised Hyperspectral Image Change Detection With an Untrained Network.

Deep learning-based hyperspectral image (HSI) change detection (CD) approaches have a strong ability to leverage spectral-spatial-temporal information through automatic feature extraction, and currently dominate in the research field. However, their efficiency and universality are limited by the dependency on labeled data. Although the newly applied untrained networks can avoid the need for labeled data, their feature volatility from the simple difference space easily leads to inaccurate CD results. Inspired by the interesting finding that salient changes appear as bright "stripes" in a new feature space, we propose a novel unsupervised CD method that represents and models changes in stripes for HSIs (named as StripeCD), which integrates optimization modeling into an untrained network. The StripeCD method constructs a new feature space that represents change features in stripes and models them in a novel optimization manner. It consists of three main parts: 1) dual-branch untrained convolutional network, which is utilized to extract deep difference features from bitemporal HSIs and combined with a two-stage channel selection strategy to emphasize the important channels that contribute to CD. 2) multiscale forward-backward segmentation framework, which is proposed for salient change representation. It transforms deep difference features into a new feature space by exploiting the structure information of ground objects and associates salient changes with the stripe-shaped change component. 3) stripe-shaped change extraction model, which characterizes the global sparsity and local discontinuity of salient changes. It explores the intrinsic properties of deep difference features and constructs model-based constraints to better identify changed regions in a controllable manner. The proposed StripeCD method outperformed the state-of-the-art unsupervised CD approaches on three widely used datasets. In addition, the proposed StripeCD method indicates the potential for further investigation of untrained networks in facilitating reliable CD.