Miracle-dz/UniFAR-FTUs huggingface dataset:
Limited role of soil texture in mediating natural vegetation response to rainfall anomalies

Evidence suggests that the response of rainfed crops to dry or wet years is modulated by soil texture. This is a central tenet for certain agronomic operations in water-limited regions that rely on spatial distribution of soil texture for guiding precision agriculture. In contrast, natural vegetation in climatic equilibrium evolves to form a dynamic assemblage of traits and species adapted to local climatic conditions, primarily precipitation in water-limited regions. For undisturbed landscapes, we hypothesize that natural vegetation responds to rainfall anomalies irrespectively of local soil texture whereas rainfed crops are expected to respond to texture-mediated plant available water. Earth system models (ESMs) often quantify vegetation response to drought and water stress based on traditional agronomic concepts despite fundamental differences in composition and traits of natural vegetation and crops. We seek to test the hypothesis above at local and regional scales to differentiate natural vegetation and rainfed crops response to rainfall anomalies across soil types and better link them to water and carbon cycles. We employed field observations and remote sensing data to systematically examine the response of natural and rainfed cropped vegetation across biomes and scales. At local scales (field to ∼0.1 km), we used crop yields from literature data and natural vegetation productivity as gross primary productivity (GPP) from adjacent FLUXNET sites. At regional scales (∼102 km), we rely exclusively on remote-sensing-based GPP. Results confirm a lack of response of natural vegetation productivity to soil texture across biomes and rainfall anomalies at all scales. In contrast, crop yields at field scale exhibit correlation with soil texture in dry years (in agreement with conventional agronomic practices). These results support the hypothesis that natural vegetation is decoupled from soil texture, whereas rainfed crops retain dependency on soil texture in dry years. However, the observed correlation of crops with soil texture becomes obscured at larger scales by spatial variation of topography, rainfall, and uncertainty in soil texture and GPP values. The study provides new insights into what natural vegetation’s climatic equilibrium might mean and reveals the role of scale in expressing such sensitivities in ESMs.
Complementary and Substitutive Roles of Information Technology in the Relationship between Project Characteristics and Knowledge Integration in Software Teams

ABSTRACT Software development requires the assimilation of team members’ diverse knowledge, ideas, and skills for innovative solutions. A software team’s knowledge integration is affected by project characteristics, such as scale and interdependence, and the team’s use of information technology (IT). We examine how contingencies embedded in these dimensions influence team’s knowledge integration. We argue and show that IT-use plays either complementary or substitutive role in moderating the impacts of project scale and project interdependence on knowledge integration.
COVID-19 Study on Scientific Articles in Health Communication: A Science Mapping Analysis in Web of Science

The COVID-19 pandemic continues to cause a collapse in the health systems and econo-mies of many countries around the world, after 2 years of struggle and with the number of cases still growing exponentially. Health communication has become as essential and necessary for control of the pandemic as epidemiology. This bibliometric analysis identifies existing contributions, jointly studying health communication and the pandemic in scientific journals indexed. A systematic search of the Web of Science was performed, using keywords related to COVID-19 and health communication. Data extracted included the type of study, journal, number of citations, number of authors, country of publication, and study content. As the number of scientific investigations has grown, it is necessary to delve into the areas in which the most impactful publications have been generated. The results show that the scientific community has been quick to react by generating an extraordinary volume of publications. This review provides a comprehensive mapping of contributions to date, showing how research approaches have evolved in parallel with the pandemic. In 2020, concepts related to mental health, mass communication, misinformation and communication risk were more used. In 2021, vaccination, infodemic, risk perception, social distancing and telemedicine were the most prevalent keywords. By highlighting the main topics, authors, manuscripts and journals since the origin of COVID-19, the authors hope to disseminate information that can help researchers to identify subsisting knowledge gaps and a number of future research opportunities.
Photophysical properties and dynamics simulation of the interaction between human serum albumin and hydroxy polybrominated diphenyl ether

Abstract The absorption, distribution and metabolism of various ligands in organisms are particularly important for understanding biological systems and processes. Herein, this work presents the detail in the interaction between 3-hydroxy-2,2′,4,4′-tetrabromodiphenyl ether and human serum albumin. Small molecule of ligand cause the endogenous fluorescence of human serum albumin to be quenched, and the quenching mechanism includes static quenching, dynamic quenching and non-radiative energy transfer. Synchronous fluorescence and site competition experiments demonstrate that 3-hydroxy-2,2′,4,4′-tetrabromodiphenyl ether has one binding site with human serum albumin (site I). In addition, similar conclusions are obtained from the molecular docking experiment. Molecular dynamics confirms that human serum albumin bound with 3-hydroxy-2,2′,4,4′-tetrabromodiphenyl ether has more compact structure and increased hydrophobicity. Circular dichroism spectra exhibites that the α-helix of the complex are reduced by 21.2% relative to free human serum albumin. More importantly, thermodynamic reveals that hydrophobic interaction is identified as the primary driving force for the formation of the complex. This work provides valuable reference for the mechanism of interaction between organic pollutants and human serum albumin by multiple-spectra and theoretical simulation.
THE ROLE OF TRUST AND WORK RELATIONSHIP SATISFACTION ON PROJECT OUTCOMES

Purpose – In recent researches, the concept of trust in a project process appears to be the one of the most significant elements. A project process involves numerous actors with often clashing interests difficult to adjust during cooperation, but the leading aim is common to all - an accomplished project. This empirical research analyzes two dimensions of trust, according to Rousseau’s dimensions of trust (calculus-based and relational-based trust), in a relationship with the satisfaction with a work relationship in a project process and project outcomes, success or failure, to try to explore its mutual correlation and its predictors influence on project outputs. Methodology – A questionnaire was delivered through Survey Monkey platform on 750 e-mail addresses in Croatia with a response rate of 13.2% (99 respondents). A correlation analysis and multiple linear regression were used to analyze collected data. Findings – The results of an analysis revealed that trust is an essential factor in the project process, which leads to the satisfaction of players with the working relationships in a project process, and to the project’s success or failure. Further the results revealed that trust is perceived as a base operator in a project process. Trust deficit can point to significant issues even before the dawn of project process, so it is a prerequisite to bring together all targets, and clashed interests. Contribution – A trust in a project process is a complex construct which demands further debate, and this analysis is an attempt to add further scientific insight about the relevance of trust in a relationship among the participants, and at the same time provides an application design with the opportunity to foresee a behavior of stakeholders engaged in a process. A wise leader will gather on all components in an equation, trying to identify the most effective approach to carry out and execute the project with success.
Modeling and Analysis of Harmonic Interaction Between Multiple Grid-connected Inverters and the Utility Grid

Harmonic interaction between the grid-connected inverters and the utility grid may be introduced when more and more inverters were coupled to a same point of common coupling(PCC),which was a potential risk for stable and effective operation of distributed power generation systems.Mechanisms of the harmonic resonance in distributed impedance networks were firstly analyzed in terms of electric circuit theories in this paper.To increase the accuracy of the proposed model,the dead-time effects and nonlinear characteristics of switching devices were modeled and incorporated into the developed model.For analyzing the harmonic interaction,an output-impedance based model of single-phase grid-connected inverters with the LCL filter based on a dual-loop control scheme was proposed.Based on the developed model,the harmonic interaction of multiple inverters with the grid was modeled and analyzed.Simulation results are presented to demonstrate the effectiveness of the modeling method and the harmonic interaction analysis method.
A Low-Complexity Joint Estimation and Detection Scheme of OFDM System With Combined BP-MF and VAMP

Considering orthogonal frequency division multiplexing (OFDM) system, we propose a joint channel estimation, noise precision estimation, symbol detection and bit decoding algorithm. In this algorithm, we incorporate the recently proposed vector approximate message passing (VAMP) with the belief propagation and mean field (BP-MF) framework, where BP is applied within subgraph of demodulation and decoding, and MF is used to handle nonlinear observations for estimating unknown noise precision, and VAMP is employed to estimate channels in densely connected factor graph. Furthermore, we use expectation propagation (EP) to demonstrate that the proposed approach converges after only one iteration. Compared to the state-of-the-art algorithm which exploits generalized approximate message passing (GAMP), the proposed scheme achieves the same bit error ratio (BER) performance, but lower per-iteration complexity and faster convergence speed.
Etiology, Risk Factors, and Diagnosis of Back Pain in Children and Adolescents: Evidence- and Consensus-Based Interdisciplinary Recommendations

Using a structured approach and expert consensus, we developed an evidence-based guideline on the diagnosis of back pain and the treatment of non-specific back pain in children and adolescents. The first part comprises etiology, risk factors, and diagnosis. The second part, published in the same issue, includes treatment and prevention. A comprehensive and systematic literature search was conducted to identify relevant guidelines and studies. Based on the findings of this literature search, recommendations on risk factors and diagnosis were formulated and voted on by experts in a structured consensus-building process. Notable red flags for specific back pain and evidence-based risk factors for non-specific back pain in children and adolescents were identified. Only three evidence-based recommendations could be formulated for causes, red flags, and risk factors for back pain, while two recommendations are based on expert consensus. Regarding diagnostics, eight expert consensus recommendations and one evidence-based recommendation could be provided. Despite the importance of adequate diagnosis for the treatment of back pain in children and adolescents, results of this work confirm the deficit in research investment in this area.
Few Differences in Energy Intake and Diet Quality of Children and Adolescents across BMI Categories, with and without Accounting for Underreporters: NHANES 2005–2014

Previous studies of the relationship between energy intake and child weight have shown mixed results and have largely not described differences in diet quality or the impact of underreporting. The objective of this study was to investigate the relationship between dietary intake and childhood obesity by assessing energy intake and diet quality across BMI categories for 2–19-year-old children before and after excluding underreporters. Energy intake and the Healthy Eating Index 2010 (HEI) were studied for 2–19-year-old children using data from 2005–2014 NHANES. Underreporters were defined as children consuming <100% of their predicted resting energy expenditure (REE) and were excluded from some analyses. There were no statistically significant differences in HEI scores across weight categories; mean HEI total score was 47.1 (SE 0.23) out of a possible 100. When considering all 12–19-year-old children, those in the overweight, obesity, and severe obesity categories had a lower mean energy intake than children in the healthy weight category (p < 0.001). Excluding underreporters, 6–11-year-old children in the overweight, obesity, and severe obesity categories had a higher energy intake than healthy weight children (p < 0.001). In both analyses, children in the overweight, obesity, and severe obesity categories reported consuming a lower % REE than healthy weight children. Diet quality in all children is low, and the relationship between reported energy intake and BMI remains complex. Healthy eating messages should target all children.
EFFECT OF ANTHOCYANIN RICH VEGETABLES ON HEART DISEASE RISK MARKERS

Heart disease is number one cause of death in the world, and preventing it is at the top of the public health agenda. Anthocyanin-rich foods and beverages and purified anthocyanins improve lipid profiles and several cardiovascular disease (CVD) risk markers, possibly through their anti-inflammatory and anti-oxidative properties. The aim of this study was to extract anthocyanins from red cabbage leaves, red radish root peels and eggplant peels, to find out the optimal levels of anthocyanin rich extracts for coloring yogurt samples. Also, to study the effect of the optimal levels of anthocyaninrich extract additions on some heart disease risk markers in obese aged rats. It was found that anthocyanin contents in red cabbage leaves, red radish root peels and eggplant peels were 1.43 mg, 0.37 mg and 1.60 mg anthocyanins / g fresh weight, respectively. Addition of 3.6 mg of anthocyanin in 3.8 ml eggplant anthocyaninrich extract followed by 3.4 mg anthocyanin in 4 ml red cabbage anthocyaninrich extract and 0.9 mg anthocyanin in 4 ml red radish anthocyanin rich extract resulted in the best coloring for yogurt samples according to sensory evaluation. Anthocyanin rich extracts caused significant reduction in body weight of obese aged rats. Blood glucose and serum insulin levels significantly decreased after administration of the anthocyaninrich extracts in obese aged rats compared with obese aged control rats. Administration of anthocyaninrich extracts caused significant reduction in malondialdehyde level and significant increase in GPx activity. Fibrinogen levels in the obese aged rats fed on the anthocyaninrich extracts were significantly decreased compared to those of obese aged control rats and thrombin concentrations had the same trend. Administration of anthocyanin -rich extracts resulted in a significant improvement in triglycerides levels and lipid profiles at the end of the experiment. From the present results, it could be concluded that anthocyanin -rich extracts from different parts of plant materials could be used as alternatives to the use of synthetic dyes for coloring food products with potential health benefits especially for treating and enhancing risk markers of heart diseases and other age-related diseases.
Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data

Approximate nearest neighbor search is a classical problem in data science, which is widely applied in many fields. With the rapid growth of data in the real world, it becomes more and more important to speed up the nearest neighbor search process. Satellite System Graph (SSG) is one of the state-of-the-art methods to solve the problem. However, with the further increase of the data scale of problems, SSG still needs a considerable amount of time to finish the search due to the limitation of step length and start point locations. To solve the problem, we propose Hierarchical Satellite System Graph (HSSG) and present its index algorithm and search algorithm. The index process can be distributed deployed due to the good parallelism of our designed hierarchical structure. The theoretical analysis reveals that HSSG decreases the search steps and reduces the computational cost and reduces the search time by searching on the hierarchical structure with a similar indexing time compared with SSG, hence reaches a better search efficiency. The experiments on multiple datasets present that HSSG reduces the distance computations, accelerates the search process, and increases the search precision in the real tasks, especially under the tasks with large scale and crowded distributions, which presents a good application prospect of HSSG.
The Fault Diagnose of Advanced Amphibious Assault Vehicle Hydraulic Motor Based on Partial Least Square Method

Hydraulic motor is one of the automotive components with a high incidence of accident in the assault system of advanced amphibious assault vehicle. When the motor leakage reaches the possible maximum limit, it needs replacement or major repair. Through analyzing the factors that influenced hydraulic motor leakage of advanced amphibious assault vehicle, a partial least square method model of motor leakage was created. The maximal relative error between measured value and fitted value of motor leakage is 8%. The predicted time that exceeded the possible maximum limit of motor leakage is 9 109 h.It provides a reasonable basis for defining the replacement period and major repair period of hydraulic motor in a scientific way.
What motivates students to read at school? Student views on reading practices in middle and lower‐secondary school

Reading amount is decisive for individual students ’ academic success as well as for the general strength of democratic societies. Still, the amount of both leisure-time and school-related reading is decreasing. To reverse this trend, more knowledge of what drives students ’ school reading is needed. Drawing on Self-Determination Theory (SDT), the study is based on structured interviews with 259 students in Grades 6 and 9 from 14 different schools. Descriptive statistical analyses were made to map students ’ perceptions of themselves as readers and their school-related reading practices and to ﬁ nd out what regulates students ’ motivation for in-class reading. Although students express a strong will to become good readers, our data indicate that students are mainly driven by controlled motivation for their school-related reading; autonomous motivation was only expressed by a minority of students in Grade 6. What would make students read more are mainly text and instruction related factors such as more interesting texts and more time allocated to reading. Our results point to a great potential for more in-class reading across the curriculum, reading sessions that need to be regularly scheduled using carefully selected texts. In line with SDT, our ﬁ ndings highlight the importance of ful ﬁ lling students ’ need for competence, relatedness, and autonomy in order for them to develop more self-determined behaviour, such as leisure-time reading – which in turn will boost their reading self-concept.
True-self-as-guide lay theory endorsement across five countries

ABSTRACT A widespread lay theory in the United States suggests that the best way to make decisions is to follow who you “really are”, referred to as the “true-self-as-guide” (TSAG) lay theory of decision making. In this paper, we explore whether people from four less-WEIRD (i.e., Western, Educated, Industrialized, Rich, and Democratic) countries also explicitly endorse the TSAG lay theory, whether individual differences in horizontal/vertical individualist/collectivist mindsets correlate with TSAG endorsement, and whether TSAG endorsement predicts wellbeing. Participants were recruited from US, China, India, Singapore, and South Korea (total N=654). Results revealed TSAG lay theories was high across all countries, that horizontal mindsets were more relevant to TSAG endorsement than individualism/collectivism, and that TSAG endorsement predicted well-being in a non US-context.
Research on the Optimization of Aircraft Dynamic Routes Planning for A-SMGCS

Aircraft dynamic routes planning on the airfield surface is the precondition and critical part of the A-SMGCS,which including the dynamic routes planning and taxing time distribution.Due to the complexity and real-time demanding of dynamic routes planning in A-SMGCS,this paper established a surface movement model based on Petri-Net,according to the structure of airfield surface and ICAO-9830.With this model and constraint rulers,using the planned static routes as the initialization routes,the optimized path can be derived from the Petri-Net state in every time-step period.The result of simulating indicates that dynamic taxiway routes planning can decrease the potential conflictions obviously,reducing holding time of aircrafts and improving the efficiency of airport.
Literature review of transformational school leadership: models and effects on student achievement (2006–2019)

This systematic literature review critically evaluates 14 empirical studies published over a 14 years span (2006–2019) to answer questions about the models and the effects of transformational school leadership on student academic achievement. The analysis of the related literature utilized vote counting and narrative synthesis to delineate the status quo of the current research field. It was found that the majority of these studies were conducted in Western and English- speaking countries and these studies utilizing different research methods and models reported mixed results. Recommendations for future research directions include use of an integrated leadership framework and complexity in the study of leadership in schools.