Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationships among Environments, External Knowledge Acquisition, and Innovation

The purpose of this study is to investigate the mediation effects of external knowledge acquisition on the relationships between environments (dynamism, complexity, and hostility) and innovation. Although prior studies have extensively examined the relationships between environments and innovation or innovativeness, the results of the studies appear to lack consistency. To help clarify the relationships between environments and innovation, this study intends to examine the impact of environments on innovation through external knowledge acquisition, and it is argued that environments are likely to motivate or force firms to acquire new knowledge from the outside, which, in turn, tends to enhance their ability to innovate. Based on data collected from manufacturing SMEs in China through a questionnaire survey, we have found that dynamism, complexity and hostility have all positive total effects on innovation and that they also have positive influences on firms’ external knowledge acquisition. Besides, we have found that external knowledge acquisition has a complete mediation effect on the relationships between all three environmental dimensions and innovation. The results further show that the positive direct effects of all three environmental dimensions on innovation disappear completely when external knowledge acquisition is considered as a mediator. These results imply that the significant relationships between three respective environmental dimensions and innovation demonstrated in prior studies may be spurious. Based on these findings, we have presented key conclusions, implications, and limitations with the direction of future research.
Prebiotics supplementation: an effective approach to mitigate the detrimental effects of heat stress in broiler chickens

SUMMARY As a consequence of global warming and food security issues, heat stress has become an emerging problem. Heat stress causes huge economic losses in the broiler industry that negatively affects the production performance of chickens. Therefore, a variety of strategies have been examined for mitigating the heat stress problem. Among these strategies, the use of prebiotics has received increasing interest due to the beneficial effects of prebiotics on the health and production of heat-stressed broilers. The evidence from existing studies suggests that prebiotics can mitigate the negative effects of heat stress on broiler chickens by benefiting the intestinal microbiota, gut morphology, oxidative status, physiological stress response and subsequently growth performance of broiler chickens. For instance, prebiotics given to heat-stressed broilers at a dose as low as 0.025% have been shown to improve the feed intake, body weight gain and feed efficiency by 7.5, 9.9 and 2.3%, respectively. This review summarises the recent findings on prebiotics as an effective approach to improve the well-being, health and growth performance of broilers under heat stress conditions.
Exploring Factors that Influence Individuals’ Choice Between Internal Combustion Engine Cars and Electric Vehicles

The adoption of electric vehicles has the potential to help decarbonizing the transport sector if they are powered by renewable energy sources. Limitations commonly associated with e-cars are their comparatively short ranges and long recharging cycles, leading to anxiety when having to travel long distances. Other factors such as temperature, destination or weekday may influence people in choosing an e-car for a certain trip. Using a unique dataset of 129 people who own both an electric vehicle (EV) as well as one powered by an internal combustion engine (ICE), we analyze tracking data over a year in order to have an empirically verified choice model. Based on a wide range of predictors, this model tells us for an individual journey if the person would rather choose the EV or the ICE car. Our findings show that there are only weak relations between the predictor and target variables, indicating that for many people the switch to an e-car would not affect their lifestyle and the related range anxiety diminishes when actually owning an electric vehicle. In addition, we find that choice behavior does not generalize well over different users.
How does governance factors influence the trade impact of migration and capital flows in the
 EU
 ?

Migration has been a topical issue in the European Union. The Successful exit of the United Kingdom from the European Union and the movement of refugees from the Middle East have drawn a lot of attention to the topic. This study investigates the relationships between trade, governance performance, and migration across 23 European countries from 1998 to 2017. Findings from our sys-GMM regression reveal that migration is negatively related to trade while the relationship between Governance and trade is majorly negative. while real GDP and FDI spur the level of trade openness. It is therefore recommended that; the authorities in the EU review and improve regulatory institutions in the region to enable the growth of the export sector in the region. Also, migrants must be integrated into the EU economy to enable them to contribute high skilled labour services and innovative ideas which will lead to growth in economic activities, especially in the export sector.
Character association studies for morphological and quality characters in basmati rice (Oryza sativa L.)

The present study was undertaken to estimate correlation coefficients among 22 yield components and quality characters in thirty rice (Oriza sativa L.) genotypes. The genotypes were evaluated in RBD and ANOVA results revealed the highly significant mean sum of squares among the genotypes for all the characters. Highest significant positive genotypic as well as phenotypic correlation was found between traits 100 kernel weight and 100 grain weight whereas, highest significant negative genotypic correlation was found between characters water absorbed by 10gm kernel and 100 grain weight, whereas, highest significant negative phenotypic correlation was found between characters grain weight per plant and days to maturity. Highest significant positive phenotypic correlation was found between traits 100 kernel weight and 100 grain weight. Grain weight per plant showed highly significant positive correlation with hulling %, kernel breadth before cooking, kernel breadth after cooking, breadth increase ratio after cooking and water absorbed by 10 gm kernel; significant positive association with peduncle length and flag leaf length. These characters could be utilized as indices of selection for future breeding programme.
Anaerobic Threshold in Stand-up Paddle: Comparison Between Direct and Alternative Methods

Abstract Balikian, P, Gomes de Araujo, G, Prado, ES, Ryan Geraldes, AA, Marinho de Lima, AH, and Mendes, EV. Anaerobic threshold in stand-up paddle: comparison between direct and alternative methods. J Strength Cond Res 36(7): 1896–1900, 2022—The purpose of this study was to test the validity of alternative protocols, mean velocity during 30 minutes of continuous effort (V30min) and critical velocity (CV), to estimate the anaerobic threshold in stand-up paddle (SUP). Eight athletes performed: 3 maximal efforts at 400-, 500-, and 800-m distances to determine CV values, using the distance-time relationship; 3 efforts at 85, 90, and 100% of maximal 500-m effort to determine the velocity related to 3.5 mmol·L−1 of lactate, assumed as the onset of blood lactate accumulation (OBLA) and; a 30-minute continuous effort to determine the V30min. All evaluations were separated by 48 hours, with the athletes using their own boards and paddles in the water. No differences were observed between the OBLA (2.35 ± 0.13 m·s−1) and alternative methods (CV: 2.42 ± 0.20 m·s−1; p = 0.10 and V30min: 2.32 ± 0.13 m·s−1; p = 0.63). Although strong correlations were observed between the OBLA and alternative methods (CV: r = 0.84 and V30min: r = 0.94), the limits of agreement were higher in CV (±0.23 m·s−1) than V30min (±0.08 m·s−1). These results demonstrate that both the CV and V30min are valid to estimate the OBLA. In view of the specificity of SUP and the high levels of agreement, the use of the V30min is recommended to prescribe training intensities.
Using Ambient Assisted Living to Monitor Older Adults With Alzheimer Disease: Single-Case Study to Validate the Monitoring Report

Background Many older adults choose to live independently in their homes for as long as possible, despite psychosocial and medical conditions that compromise their independence in daily living and safety. Faced with unprecedented challenges in allocating resources, home care administrators are increasingly open to using monitoring technologies known as ambient assisted living (AAL) to better support care recipients. To be effective, these technologies should be able to report clinically relevant changes to support decision making at an individual level. Objective The aim of this study is to examine the concurrent validity of AAL monitoring reports and information gathered by care professionals using triangulation. Methods This longitudinal single-case study spans over 490 days of monitoring a 90-year-old woman with Alzheimer disease receiving support from local health care services. A clinical nurse in charge of her health and social care was interviewed 3 times during the project. Linear mixed models for repeated measures were used to analyze each daily activity (ie, sleep, outing activities, periods of low mobility, cooking-related activities, hygiene-related activities). Significant changes observed in data from monitoring reports were compared with information gathered by the care professional to explore concurrent validity. Results Over time, the monitoring reports showed evolving trends in the care recipient’s daily activities. Significant activity changes occurred over time regarding sleep, outings, cooking, mobility, and hygiene-related activities. Although the nurse observed some trends, the monitoring reports highlighted information that the nurse had not yet identified. Most trends detected in the monitoring reports were consistent with the clinical information gathered by the nurse. In addition, the AAL system detected changes in daily trends following an intervention specific to meal preparation. Conclusions Overall, trends identified by AAL monitoring are consistent with clinical reports. They help answer the nurse’s questions and help the nurse develop interventions to maintain the care recipient at home. These findings suggest the vast potential of AAL technologies to support health care services and aging in place by providing valid and clinically relevant information over time regarding activities of daily living. Such data are essential when other sources yield incomplete information for decision making.
Atomistic Simulation of the Strain Driven Phase Transition in Pure Iron Thin Films Containing Twin Boundaries

Using molecular dynamics (MD) simulation, the strain-induced phase transitions in pure body-centered-cubic (bcc) iron (Fe) thin films containing twin boundaries (TBs) with different TB fractions and orientations are studied. Two groups of bcc thin films with different TB-surface orientation relationships are designed. In film group 1, the (112) [ 11 1 ¯ ] TBs are perpendicular to the ( 11 1 ¯ ) free surfaces, while the (112) [ 11 1 ¯ ] TBs are parallel to the free surfaces in film group 2. We vary the TB numbers inserted into the films to study the effect of TB fraction on the phase transition. Biaxial strains are applied to the films to induce the bcc to close packed (cp) phase transition. The critical strain, at which the first phase transition takes place, decreases with the TB fraction increase in film group 1 with a perpendicular TB-surface orientation, while such a relationship is not observed in film group 2 with parallel TB-surface orientation. We focus on the free surface and TB as the nucleation positions of the new phase and the afterward growth. In addition, the dynamics of the phase transition is discussed. This work may help to understand the mechanism of phase transition in nanoscale or surface-dominant systems with pre-existing defects.
Qualitative and Quantitative Performance Comparison of ECG Noise Reduction and Signal Enhancement Method based on Various Digital Filter Designs and Discrete Wavelet Transform

: Electrocardiogram (ECG) is a graphical representation and bio-signal recording of cardiac electrical activity. It conveys a great amount of information regarding structural and functional performance of the heart. Hence, ECG plays an essential role in the cardiac assessment, abnormality detection and clinical diagnosis. A clean ECG signal plays an imperative and vital role in the primary clinical analysis and diagnosis of cardiac diseases. Unfortunately, the greatest obstacle in analyzing and interpreting an ECG signal is the presence of unwanted artifacts and noises as they contaminate and degrade the quality of the ECG signals. As a result, removal of unwanted artifacts and noises from an ECG signal becomes an indispensable task to ensure an accurate and reliable ECG analysis could be performed. In this study, many ECG noise reduction and enhancement methods based on various digital filter designs, as well as discrete wavelet transform with various mother wavelets, are modelled to investigate and benchmark their performance in term of Signal-to-Noise Ratio (SNR) and Root Mean Square Error (RMSE). This testing are based on ten randomly selected ECG datasets acquired from ECG-ID Database ( ecgiddb ) which available in PhysioNet. Based on structured qualitative and quantitative performance analysis, results conclude that the discrete wavelet transform with db8 as mother wavelet outperforms the Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) digital filter designs in de-noising and enhancing a raw ECG signal with highest SNR value of 4.4148, at the same time achieve significant lowest RMSE value of 4.0767. This is due to the reason that discrete wavelet transform method has advantages in analyzing the ECG signal in both time and frequency domain, thus causing less distortion to ECG signal.
Choosing between theories: Can L3 acquisition really decide?

In this commentary, I question Westergaard’s argument that third language (L3) data can be used to decide between theories such as Full Transfer Full Access, involving wholesale transfer initially, and Full Transfer Potential, involving property-by-property transfer. I suggest that much L3 data will be amenable to explanation under either theory. Furthermore, it is not clear what kind of data would constitute counter-evidence to Full Transfer Potential.
Introducing a Mobile Health Care Platform in an Underserved Rural Population: Reducing Assimilations Gaps on Adoption and Use via Nudges

Copyright © 2020, Joseph Hodges This article is published under a Creative Commons BY-NC license. Permission is granted to copy and distribute this article for non-commercial purposes, in both printed and electronic formats Measurement techniques for successful healthcare platform programs are constrained due to data limitations. Building on existing assimilation gap research and designing artifacts that include nudging techniques, this study identifies concepts that display assimilation gap narrowing methods that improve healthcare platform design. Using elaborated action design research (EADR), each artifact design cycle follows a process map to improve adoption and use. The research discovers how adoptable a healthcare platform (CareValet) is within a rural population, which strategies most promote adoption, and what strategies might best support use improvement. In this study, platform adoption is compared as the relative value against each use metric for key stakeholders including consumers (e.g., health plan members), clients (e.g., employer or health plan), and platform developers. Research contributions include the development of assimilation gap narrowing methods and return on investment (ROI) value graphing tools associated with platform use. In this dissertation, I studied a rural South Georgia county government health plan. This group was specifically chosen because of the amplified effect the cost of healthcare was having in this region of the United States. This county has the highest healthcare cost in the U.S. on par with Vail, Colorado, one of the most expensive places to receive healthcare in the U.S. The disparity is that Vail is one of the most affluent communities in the US and rural South Georgia is one of the lowest income areas in the U.S. By introducing a mobile healthcare platform in the form of a mobile application to the population, this study presented an overall goal to reduce healthcare costs by using techniques to guide these consumers to more efficient healthcare practices and lower cost care options. This research presents a process for influencing assimilation gaps in healthcare platforms, establishing a methodology that extends the quantifiable practice of traditional assimilation gaps, to multi-level assimilation gaps.
Predicting Social Skills in Single Child Adolescents based on Attachment Styles and Creativity: The Mediating Role of Moral Intelligence

Predicting Social Skills in Single Child Adolescents based on Attachment Styles and Creativity: The Mediating Role of Moral Intelligence Azadeh Malekzadeh, Hooman Namvar2, Farhad Jomehri 1. Department of Psychology, Faculty of Humanities, Islamic Azad University, Saveh Branch, Saveh, Iran. 2. Department of Psychology, Faculty of Humanities, Islamic Azad University, Saveh Branch, Saveh, Iran. 3. Department of Psychology, Faculty of Educational Sciences and Psychology, Allameh Tabataba’i University, Tehran, Iran.
Tool wear monitoring in drilling of high-strength compacted graphite cast irons

Machining is such a complex system that any foreseen result is practically impossible. However, research always helps to further understand the process, which contributes to providing positive results. Tool wear is always difficult to foresee, but it can be measured and related to several output parameters. In each individual application, there will be the best parameter that most reliably represents the tool wear. In the present investigation, the hole quality parameters (roughness and cylindricity), power consumption, electrical consumption of the machine tool and the acoustic emission signals were recorded and correlated to the tool condition in order to find the best output parameter for tool wear monitoring during the drilling of compact graphite cast irons. Two high-strength grades of compacted graphite cast irons (both CGI 500 with changes in the matrix and graphitic structure) were machined and compared to the standard grade (CGI 450) usually used in the manufacturing of engines using TiAlN-coated carbide drills at a constant cutting condition. The results showed that the best output parameter to monitor the tool wear was the electric current signal.
On Generalised Single-Heading Navigation

Introducing the notion of a pseudoloxodrome, we generalise a single-heading navigation to conformally flat Riemannian manifolds, under the action of a perturbing vector field (wind, current) of arbitrary force. The findings are applied to time-optimal navigation with the use of the Euler–Lagrange equations. We refer to the Zermelo navigation problem admitting space and time dependence of both a perturbation and a ship's speed. The necessary conditions for single-heading time-optimal navigation are obtained and the pseudoloxodromes of minimum and maximum time are discussed. Furthermore, we describe winds which yield the pseudoloxodromic and loxodromic time extremals. Our research is also illustrated with the examples in dimension two emphasising the single-heading solutions among the time-optimal trajectories in the presence of some space-dependent winds.
Promoting autonomy through home adaptations. Appropriation of domestic spaces in Italy

Abstract While the person-environment relationship is one of the structuring frameworks of daily life in general, for disabled people this relationship is a decisive one. ADA is an action research project which assessed the person-environment relationship of people with severe disabilities and subsequently proposed home adaptations to improve their autonomy, well-being and quality of life. The article introduces the framework of ADA and its strategy to personalise home adaptations while considering participants multifaceted profiles. The impact of ADA on the life of its recipients in a context of fragmented disability policies is then discussed. Space appropriation processes and effects on trust in institutions and agency of participants are assessed. A sociologically informed perspective on habitation is adopted to conduct a reliable and multidimensional ex-post evaluation of the effects of home adaptations. Points of interest The article discusses the strategy and impact of a home adaptation project carried out in a context with insufficient disability policies. Home adaptations affect how disabled people live in their homes in many ways. Home adaptations change what behaviours disabled people can perform, but also how they feel and what their spaces mean to them. Adaptations are more effective when customized on the specific needs of each disabled person. This is challenging and requires experts from different fields. Getting disabled people and their families involved in the assessment of their homes promotes their self-confidence and trust in the process, especially if they had previous disappointing experiences with other disability services and policies. People who had successful adaptations are eager to share their experience. Actively involving them in supporting other participants could have positive effects and should be further investigated.
Standing out in a networked communication context: Toward a network contingency model of public attention

Social media can offer strategic communicators cost-effective opportunities to reach millions of individuals. However, in practice it can be difficult to be heard in these crowded digital spaces. This study takes a strategic network perspective and draws from recent research in network science to propose the network contingency model of public attention. This model argues that in the networked social-mediated environment, an organization’s ability to attract public attention on social media is contingent on its ability to fit its network position with the network structure of the communication context. To test the model, we combine data mining, social network analysis, and machine-learning techniques to analyze a large-scale Twitter discussion network. The results of our analysis of Twitter discussion around the refugee crisis in 2016 suggest that in high core-periphery network contexts, “star” positions were most influential whereas in low core-periphery network contexts, a “community” strategy is crucial to attracting public attention.