Miracle-dz/UniFAR-FTUs huggingface dataset:
Artificial Intelligence in Communication Studies: An Investigation on Studies between 1982-2021

This study explores the profile of media and communication studies on artificial intelligence and presents a perspective on the general structure of the literature. In this study, 459 scientific studies published between 1982 and 2021, which have been increasing even further since 2016, were examined via bibliometric data. The country that published the most was the USA with 25.1%. Turkey ranked 28th among 54 countries with four publications. Two hundred sixty-seven article publications were distributed in 96 different journals. By testing the compatibility of this distribution with Bradford’s Law, eight core journals meeting the needs of communication literature on artificial intelligence, were identified. New Media & Society ranked first on this list. Topics covered in the studies focused on journalism, natural language processing, human-robot interaction, social media bots, public relations and advertising. The most frequently used concepts in abstracts and keywords were “automated journalism,” “computational journalism,” “robot journalism,” “ethics,” “fake news. ” The most frequently cited journal was Digital Journalism. The half-life value of cited publications was seven years. The results revealed the artificial intelligence trends in communication studies and the general structure of the communication literature. In addition, it is suggested that the results regarding literature obsolescence and core journals would contribute to the creation of subscriptions and journal collections in libraries.
Peer-to-Peer Carsharing

Many studies show that carsharing reduces transportation costs for a large segment of the population. Carsharing also reduces the number of private vehicles on the road because carshare members do not purchase their own cars. However, the traditional carsharing business model is difficult to scale geographically to neighborhoods with lower population densities because the operator must bear the upfront fixed cost of purchasing or leasing the vehicles in the fleet. In contrast to traditional carsharing, peer-to-peer (P2P) carsharing allows car owners to convert their personal vehicles into shared cars that can be rented to other drivers on a short-term basis. This model helps to improve the situation in which most privately owned vehicles sit idle more than 90% of the day. P2P carsharing alleviates upfront costs and thus is more economically consistent with lower-density neighborhoods than is traditional carsharing. As a result, P2P carsharing provides greater potential for car accessibility than traditional carsharing does. Several new service companies are dedicated to P2P carsharing. A methodology was developed to assess the market feasibility of P2P carsharing. The methodology was applied to develop a case study of P2P carsharing in Pittsburgh, Pennsylvania. The market for P2P carsharing was found to be economically viable. However, uncertain and fragmented public policy and car insurance regimes threatened the growth and investment in P2P carsharing.
Understanding the Cold Season Arctic Surface Warming Trend in Recent Decades

Whether sea‐ice loss or lapse‐rate feedback dominates the Arctic amplification (AA) remains an open question. Analysis of data sets based upon observations reveals a 1.11 K per decade surface warming trend in the Arctic (70°–90°N) during 1979–2020 cold season (October–February) that is five times higher than the corresponding global mean. Based on surface energy budget analysis, we show that the largest contribution (∼82%) to this cold season warming trend is attributed to changes in clear‐sky downward longwave radiation. In contrast to that in Arctic summer and over tropics, a reduction in lower‐tropospheric inversions plays a unique role in explaining the reduction of the downward longwave radiation associated with atmospheric nonuniform temperature and corresponding moisture changes. Our analyses also suggest that Arctic lower‐tropospheric stability should be considered in conjunction with sea‐ice decline during the preceding warm season to explain AA.
A GEVP formulation for robust predictor feedback controller design of linear systems with uncertain input delay

Predictor feedback controllers are irreplaceable and widely used for systems with long input delays. However, it is also known to be sensitive to mismatch between the nominal input delay and the true unknown one. In this paper, we propose a robust predictor feedback controller design to enlarge the admissible delay mismatch, while keeping the convergence rate within a prescribed level. It is shown that the controller synthesis problem can be cast into a generalised eigenvalue problem (GEVP).
An Action Research Framework for Religion and the Stigma of Suicide

Religious beliefs and practices have historically been intertwined with stigmatizing attitudes and responses to suicide, including stereotypes, prejudice, and discrimination. Understanding the relationship between religion and suicide stigma requires identifying specific religious beliefs and practices about suicide and how these are informed by broader worldviews, such as ethics, anthropology, and afterlife beliefs. Yet, research in this area has been complicated by the complex multidimensional nature of stigma and the diversity of religious beliefs and practices, even within religious traditions. Moreover, contrary arguments about the role of religious views of suicide in suicide prevention, specifically whether religious stigma is protective or instead contributes to risk, have obscured the interpretation of findings. This paper aims to advance research on this topic by first summarizing pertinent empirical findings and theoretical perspectives on public and personal stigma towards people with suicidal ideation (PWSI), people with suicidal behavior (PWSB), and suicide loss survivors (SLS). Secondly, a culturally nuanced action research framework (ARF) of religious stigma towards suicide is provided to guide future research. According to this ARF, research should advance strategically by investigating associations of religious beliefs and practices with stigmatization, identifying empowering resources within particular religious traditions, supporting suicide prevention efforts, and developing effective interventions to support PWSI, PWSB, and SLS. Moreover, such research efforts ought to equip religious leaders, and healthcare professionals working with religious individuals, to reduce stigma towards suicide and further the goal of suicide prevention.
The Relationship between Organizational Commitment and Job Satisfaction

The study aimed to determine the relationship between organizational commitment and job satisfaction of individuals working in the sports sector. The sample of the study consisted of a total of 496 people (375 males and 121 females), who were working in a private company operating in the sports sector in Istanbul, and selected by easy sampling method. In addition to the personal information form, the “Organizational Commitment Scale” developed by Meyer and Allen (1984, 1997) and adapted to Turkish by Boylu et al. (2007), and the Minnesota Job Satisfaction Scale, developed by Weiss et al. (1967) and adapted into Turkish by Baycan (1985) were used as data collection tools. Analyzes were analyzed using SPSS 22.0 package program. Independent t-test, ANOVA and Pearson Correlation analyses were performed to analyse the data. In addition, the analyzes were performed at a 95% confidence interval. Analysis results showed that there was a significant difference in the continuance commitment sub-dimension of individuals according to the gender variable. It was determined that there was a significant difference in both the job satisfaction levels and the affective and normative commitment levels of the individuals according to their welfare status. Moreover, it was determined that there was a significant difference in all sub-dimensions of the job satisfaction scale and in all sub-dimensions of the organizational commitment scale according to the educational status of the participants. As a result, it was determined that there was a positive and moderate relationship between “Affective Commitment” and “Continuance Commitment” and “Internal Satisfaction” and “External Satisfaction”. Another result, it was determined that the organizational commitment and job satisfaction levels of the individuals differed according to their socio-demographic characteristics, and as the affective and continuance commitment of the individuals increased, their job satisfaction increased.
Intercropping and diverse field margin vegetation suppress bean aphid (Homoptera: Aphididae) infestation in dolichos ( Lablab purpureus L.)

Dolichos ( Lablab purpureus L.) is a drought tolerant legume used as food/feed and improvement of soil fertility. The production of dolichos in Kenya, Nakuru County is however limited by insect pests like bean aphids, pod borers and whiteflies. Field studies were conducted to determine the effect of cropping systems (dolichos monocrop and maize-dolichos intercrop) and field margin vegetation on bean aphids and their natural enemies. The experiment was conducted in Njoro (high field margin vegetation) and Ron-gai (low field margin vegetation) during May–December 2019 and March − November 2020 cropping seasons. Bean aphid percent incidence, severity of damage and abundance was assessed at seedling, early vegetative, late vegetative and flowering dolichos growth stages. The populations of natural enemies in the plots and field margin vegetation were monitored using pan traps and sweep nets. Species diversity and composition of the field margin vegetation was determined using a quadrat. Results showed that location and cropping system had significant effects on bean aphid infestations. A high bean aphid incidence (38.13%) was observed in Njoro compared to Rongai (31.10%). Dolichos monocrop had significantly higher bean aphid infestation (51.63%) than the maize-dolichos intercrop system (24.62%). A highly diverse Shannon-weaver index was observed in Rongai (1.90) compared to Njoro (1.67). Dolichos monocrop had a more diverse Shannon-weaver index (1.8) than the maize-dolichos intercrop system (1.7). Rongai had the most abundant annual and perennial field margin vegetation species. The field margin species richness and diversity were higher in Rongai (81%) than in Njoro (54%). The findings of this study have demonstrated that a maize-dolichos intercrop in Rongai can reduce bean aphid damage in dolichos.
Modeling of the Сellular Сommunication System Coverage Area Taking into Account the External Details of the Terrain

This paper proposes a new approach to estimating the contour of the coverage zone for a cellular communications base station that takes into account meaningful reflecting objects located out of the considering zone. Based on this approach, the procedure for modeling and designing the cellular system coverage area. Unlike known methods, the developed procedure considers the influence of electromagnetic wave reflection from external details of the relief, in particular essential reflecting objects located outside the considered cell. The effect of the external objects on the formation of the coverage area resulting contour is considered analytically, numerically and experimentally. The proposed solution leads to more accurate designing of the coverage area for each cell. This creates the opportunity for further development of designing techniques to more effective engineering solutions at developing and applying cellular communication systems in real situations and at various scenarios.
Drug interactions and adverse events in elderly heart disease patients

Chronic and multiple diseases are more prevalent in elderly individuals and, epidemiological highlight can be given to cardiovascular conditions requiring multi-drug therapies, which favor the occurrence of drug interactions. This study aims to analyze potential drug interactions and correlate them with adverse events in elderly heart-disease patients in a hospital setting. This is a prospective description of the analysis of medical prescriptions and records of 80 patients, with data collection performed by using validated instruments during a seven-month period. The drug interactions found were indicated by scientifically recognized databases and subsequently treated statistically with adequate software. 1841 potential interactions between drugs were detected, of which 74.1% did not show any therapeutic benefits, with antithrombotic and analgesic drugs accounting for the worst results. The number of potential interactions was proportional to the occurrence of adverse events, classified at 87.3% as moderate to severe. It is concluded from such results that there is a proportionality between the occurrence of potential drug interactions and the detection of adverse events, with therapeutic management being of great importance for safety, quality and affordability of the treatment.
Factors associated with iron and folic acid supplementation among pregnant women aged 15-45 years attending Naroosura health centre, Narok County, Kenya

Background: Iron and folic acid are very important nutrients to mothers during pregnancy. Their deficiencies are risk factors for anaemia, preterm delivery and low birth weight. This study aimed to investigate the supplementation of iron and folic acid and the associated factors among pregnant women attending Naroosura health centre, Narok County, Kenya.Methods: This study employed a descriptive cross-sectional study design. Data collection took a period of one month where a total of 123 mothers participated. A self-administered semi-structured questionnaire was used for data collection. Chi-square test was conducted to find associations at a significance level of 0.05. Results: Of the study participants, nearly a third (31.7%) took iron and folic acid supplements daily, over a half (57.7%) indicated that taking iron and folic acid supplements was important to them, about a quarter (24.4%) reported that use of iron and folic acid supplements reduces birth defects and about a third (32%) consumed foods rich in iron and folic acid. Supplementation of iron and folic acid was significantly associated with residence (ꭓ2=4.311, df=1, p=0.038), monthly household income (ꭓ2=10.870, df=4, p=0.028), reduced birth defects (χ2=6.131, df=1, p=0.013) and consumption of iron and folic acid rich foods (χ2=4.163, df=1, p=0.041). Conclusions: The intake as well as supplementation of iron and folic acid is still low. Therefore, both the intake and supplementation of iron and folic acid need to be scaled up.
Current State of Development of Electricity-Generating Technologies: A Literature Review

Electricity is perhaps the most versatile energy carrier in modern economies, and it is therefore fundamentally linked to human and economic development. Electricity growth has outpaced that of any other fuel, leading to ever-increasing shares in the overall mix. This trend is expected to continue throughout the following decades, as large—especially rural—segments of the world population in developing countries start to climb the “energy ladder” and become connected to power grids. Electricity therefore deserves particular attention with regard to its contribution to global greenhouse gas emissions, which is reflected in the ongoing development of low-carbon technologies for power generation. The focus of this updated review of electricity-generating technologies is twofold: (a) to provide more technical information than is usually found in global assessments on critical technical aspects, such as variability of wind power, and (b) to capture the most recent findings from the international literature. This report covers eight technologies. Seven of these are generating technologies: hydro-, nuclear, wind, photovoltaic, concentrating solar, geothermal and biomass power. The remaining technology is carbon capture and storage. This selection is fairly representative for technologies that are important in terms of their potential capacity to contribute to a low-carbon world economy.
Giant magnetoresistance effects in gel-like matrices

We present transport measurements with magnetoresistance effect amplitudes of up to 260% at room temperature obtained in granular systems consisting of Co nanoparticles embedded in conductive gels as a non-magnetic matrix. In order to gain a better understanding of the transport mechanism in gel during measurement, the granular system was simultaneously monitored by optical microscopy. Gel-like matrices with different conductivities and viscosities were tested and will allow us to realize a highly sensitive granular giant magnetoresistance sensor without the need for lithographic techniques.
Adaptive Second-Order Sliding Mode Control: A Lyapunov Approach

This article proposes an adaptive second-order sliding mode (ASOSM) controller design by means of the Lyapunov method. The notable feature of the proposed algorithm is that it only needs boundedness of the uncertainties, whereas boundedness of the derivatives of uncertainties is not demanded. Under the proposed ASOSM control scheme, the gain can be dynamically tuned, which avoids gain overestimation. The finite-time stability of the closed-loop ASOSM dynamics is proved via the Lyapunov theory. Finally, the simulation results are shown to validate the theoretical analysis.
Plasticity Modeling Applied to the Permanent Deformation Response of Granular Materials in Flexible Pavement Systems

Mechanistic design methods for flexible pavements are usually based on limiting only two critical pavement responses: tensile strain at the bottom of the asphalt layer for fatigue damage and vertical compressive strain at the top of the subgrade for overall pavement rutting. Rutting in granular base and subbase layers is assumed to be small for all cases. Research was conducted to develop a fundamental method for incorporating rutting of granular base and subbase layers in flexible pavement thickness design. The research concentrated on investigating the potential for using constitutive relationships based on the flow theory of plasticity to limit permanent deformations in granular layers of pavement systems. The flow theory of plasticity is the most popular of the three plasticity theories that have been applied to soils and granular materials. The total strain is viewed as the sum of the reversible elastic component and the irreversible plastic component. A yield function is introduced to differentiate between elastic and plastic behavior. This yield function is a function of the stress state and may change on loading and unloading to describe cyclic hardening behavior. To use a flow theory model to predict the response of a granular pavement layer requires relatively complex finite-element analysis and sophisticated laboratory testing that may not be warranted for normal pavement design. A method is presented for using the yield surfaces from a flow theory model as a design criterion for limiting permanent deformations in granular layers. Only the results of triaxial strength tests are needed to implement the method.
Travel Behaviour under Fuel Constraint Study: TACA SIM

Future oil availability and cost has been discussed recently in international agency and government reports. Transportation is the fastest-growing and largest user of oil. Future personal transportation will continue to be fuelled by oil. However, as the oil price rises the transport systems will be affected. Alternative energy sources (such as solar, wind, biofuel) are not available to economically replace traditional fossil fuels. Travel demand management (TDM) is a key approach to transport and land use planning. It provides a feasible solution to the problems relating to uncertainty of fuel supply, and offers many alternative ways of mitigating environmental problems. However, integration of TDM to transport planning requires understanding of people’s travel behaviour. We propose a game-based survey tool, Travel Activity Constraint Adaptation Simulation (TACA Sim © ) that simulates a situation with high fuel prices and captures the data of “normal” travel behaviour and behaviour changes. The tool additionally provides feedback information based on the concept that all human beings have the responsibility to inform themselves and evaluate their past and current actions for future planning. TACA Sim collects not only travel behaviour data, but also provides the travel behaviour information and adaptation risk for self-evaluation in order to help individuals realise sustainable lifestyles.
Let Your Clients Fight Dragons: A Rapid Evidence Assessment regarding the Therapeutic Utility of ‘Dungeons & Dragons’

ABSTRACT With an increasing public interest in the roleplaying game ‘Dungeons & Dragons’ (D&D) comes the claim it holds psychological benefits. While the therapeutic roleplay is empirically well established, the evidence surrounding D&D is unclear. The current study aims to summarize the literature pertaining to this topic and present possible avenues for the implementation of D&D in psychological interventions. A Rapid Evidence Assessment (REA) was conducted following the standards by the Center for Evidence-Based Management. Relevant search strings were entered into seven databases (e.g., PsycArticles, PsycInfo, Child Development & Adolescent Studies). Only papers published in the English language till September 2020 were considered and their quality appraised. The thematic analysis of 13 studies yielded four themes: No unified personality type of D&D players, stakeholders’ attitude about D&D, lack of maladaptive coping associated with D&D, and potential psychological benefits of D&D. The results appear promising, but preliminary. Practical implications are contextualized with the wider literature.
Multilevel and Spatially Heterogeneous Factors Influencing Poor Households' Income in a Frontier Minority Area in Northeast China

Increasing the income of poor rural households is essential for the realization of China’s goal of sustainable development, which entails inclusive and equitable development and reducing the developmental gap between urban and rural areas. We conducted a case study of Wangqing County, a frontier minority area in Northeast China to examine spatial patterns and income differentials among poor rural households in this area. We quantified existing associations between household-level and environmental-level characteristics and income by applying hierarchical linear models. We subsequently applied Geographically Weighted Regression to analyze the spatial heterogeneity of the environmental-level variables and develop an understanding of the interaction mechanism of influencing factors. The results revealed that the distribution of villages, where income levels were similar, showed significant spatial agglomeration characteristics. Our findings also provide empirical evidence that household- and village-level characteristics together determine the income of poor households, but that household-level characteristics determine destitution to a greater extent than environmental characteristics. More specifically, the sex, health condition, and labor capacity of the household head, household size, the dependency ratio, social welfare, and off-farm work are significantly associated with household income. At the environmental level, arable land, the distance to the county center, and the average altitude had spatially heterogeneous impacts that varied in direction and intensity. This systematic study provides a more comprehensive and integrated understanding of the factors influencing the income of poor households in a frontier minority area in Northeast China.