Miracle-dz/UniFAR-FTUs huggingface dataset:
WO3-decorated ZnO nanostructures for light-activated applications

In the present work, a two-step vapor-phase route was implemented for the tailored design of ZnO–WO3 nanoheterostructures supported on fluorine-doped tin oxide (FTO) substrates. Under optimized conditions, the sequential use of chemical vapor deposition (CVD) and radio frequency (RF)-sputtering for the deposition of zinc and tungsten oxides respectively, resulted in the growth of calyx-like ZnO nanostructures uniformly decorated by a conformal dispersion of low-sized WO3 nanoparticles. The target materials were characterized by means of a multi-technique approach, with particular regard to their structural, compositional, morphological and optical properties. Finally, their photocatalytic performances were preliminarily tested in the abatement of NOX gases (NO and NO2). Due to the unique porous morphology of the ZnO nanodeposit and the high density of ZnO–WO3 heterojunctions, WO3-decorated ZnO revealed appealing De-NOX characteristics in terms of both degradation efficiency and selectivity. Such features, along with the photoinduced superhydrophilicity and self-cleaning properties of the present nanomaterials, candidate them as promising functional platforms for applications in smart windows and building materials for environmental remediation.
Application of POSS Nanotechnology for Preparation of Efficient Ni Catalysts for Hydrogen Production

POSS (polyhedral oligomeric silsesquioxanes) nanotechnology was applied for preparation of efficient Ni catalysts for hydrogen production through autothermal reforming of methane (ATR of CH 4 ). The novel metal-POSS precursor [Nickel (II) вЂ’ HeptaisobutylPOSS (C 4 H 9 ) 7 Si 7 O 9 (OH)O 2 Ni] of Ni nanoparticles was introduced into Ce 0.5 Zr 0.5 O 2 support with following calcination and reduction stages of activation. The peculiarity of the genesis of Ni/SiO 2 /Ce 0.5 Zr 0.5 O 2 nanomaterials and their characteristics versus deposition mode were studied by X-ray fluorescence spectroscopy, thermal analysis, N 2 adsorption, X-ray diffraction, high-resolution transmission electron microscopy and H 2 temperature-programmed reduction. The two kinds of supported Ni-containing particles were observed: highly dispersed Ni forms (1вЂ’2 nm) and large Ni-containing particles (up to 50вЂ’100 nm in size). It was demonstrated that the textural, structural, red-ox and, consequently, catalytic properties of ex-Ni-POSS catalysts depend on the deposition mode. The increase of a portion of difficultly reduced Ni 2+ species is found upon application of intermediate calcination during Ni-POSS deposition that has detrimental effect on the activity of catalyst in ATR of CH 4 . The Ni/SiO 2 /Ce 0.5 Zr 0.5 O 2 catalyst prepared by one-step Ni-POSS deposition exhibits the highest H 2 yield вЂ’ 80% at T = 800 В°C.
Research on Vibration Risk Predictive Control of Auxiliary Shaft Hoist based on MCGS

For the existing problems of security risks when the amplitude of auxiliary shaft hoist vibration is too large, we use the vibration sensors to collect the vibration signals of auxiliary shaft hoist and display it in the monitoring software MCGS, then research on the vibration risk predictive control according to the analysis of the collecting signals integrated into signal processing, automatic control technology, and using PLC to control the converter so as to adjust the running state of the hoist. , finally realizing the online monitoring of the hoist running status and vibration risk predictive control of auxiliary shaft hoist.
Design and transfer of OsSWEET14-editing T-DNA construct to bac thom 7 rice cultivar

Bac thom 7 rice (BT7 rice) is one of the major elite rice cultivars in Vietnam with superior productivity and quality but very susceptible to bacterial leaf blight caused by Xanthomonas oryzae pv. oryzae. The gene OsSWEET14, belonging to the OsSWEET family which encodes sugar transport proteins, is considered to be a susceptible gene involved in the virulence of Xoo. At least three cis-elements (EBE Effector-binding element), including Tal5, PthXo3 and AvrXa7 on BT7 OsSWEET14 promoter, bind specifically to well-known transcription activator– like effectors (TALEs) of many Asian Xoo bacterium strains. In this study, a T-DNA construct which expressed the protein-RNA complex CRISPR/Cas for editing three EBEs position on the OsSWEET14 promoter was designed. The recombinant binary vector was tested by PCR, restriction enzyme and finally sequencing and then successfully transferred to Bac thom 7 rice through Agrobacterium tumefaciens. 28 of 30 hygromycin-resistant regenerated rice lines that grew and developed normally under nethouse conditions were selected by PCR with specific primers. Among these, twelve transgenic rice lines were identified carrying one copy of the TDNA construct. The presence of CRISPR/Cas9-induced mutations of the targeted promoter in the transgenic plants were confirmed by T7EI assay. These results provide the basis to determine the role of OsSWEET14 in the susceptibility of Bac thom 7 rice to Xanthomonas oryzae pv. oryzae caused disease, towards the further goal of generating an improved Bac thom 7 rice variety with broad-spectrum bacterial leaf blight resistance using CRISPR/Cas9 technology.
The Influence of Social Support Factors on Performance: A Case Study of Elementary School Teachers

This study aims to measure the effect of social support (supervisor, peer, and family support) on teacher performance in five private elementary schools in Tangerang. Data collection was carried out by simple random sampling to 102 primary school teacher populations. The results of the questionnaire were valid and returned as many as 92 samples. Data processing using SEM method with SmartPLS 3.0 software. The results of this study concluded that all social support factors consisting of supervisor support, peer support, and family support had a positive and significant effect on performance. While the support supervisor has no significant effect on the performance of elementary school teachers. This new research proposes a model for building performance among private primary school teachers in Tangerang through increasing social support for teacher employment.
Testing ecological theories in the Anthropocene: alteration of succession by an invasive marine species

Ecologists employ a diverse body of theory to help explain patterns and processes in ecological systems, with the consistency of ecological theories tested against an increasingly altered world. The global redistribution of species is a prominent impact of climate change and human-mediated biological invasions and often results in negative impacts to ecosystems. Recently, a species of colonial tunicate not previously present, Clavelina oblonga, has become prominent within the marine fouling community of Beaufort, North Carolina, USA. Fifty years ago, researchers tested theories of ecological succession developed in terrestrial systems and found that this marine community was characterized by a heterogeneous mixture of species that varied inter-annually (i.e., multiple community states) and increased in diversity over time. A recent follow-up study found that the fouling community is dominated by C. oblonga with patterns of community development and structure that led to the loss of alternative community states, domination by C. oblonga, and reduced species diversity. The present study addressed the question: Will patterns of community development identified over 50 yr ago still operate under reduced cover of invasive C. oblonga? This study also quantified the impacts of two large-scale environmental disturbances (extremely cold winter and hurricane) on the abundance of C. oblonga and the resulting fouling community. Clavelina oblonga remains a dominant component of the fouling community due to its rapid growth and strong seasonal recruitment. Under conditions of reduced percent cover of C. oblonga, the local fouling community displayed unique community states that became even more distinct over time, consistent with the pattern of multiple community states identified by researchers over 50 yr ago, and that were dependent upon date of disturbance. Natural disturbances in this study caused by a harsh winter and a hurricane greatly reduced the presence of C. oblonga. This experiment advanced our understanding of marine community ecology by testing whether the concept of multiple community states identified over 50 yr ago is still operable in the absence of invasive C. oblonga, and highlights how natural environment disturbances can potentially moderate the spread of this invasive tunicate.
Syncytin-1 Expression is Increased in Skeletal Muscle of Humans with Obesity and is Inversely Correlated to Muscle Protein Synthesis

Background: Various pathophysiological conditions alter protein metabolism in skeletal muscle, with obesity being one of them. Obesity impairs regeneration of skeletal muscle, and the same biological mechanism(s) may adversely affect protein metabolism in the muscle of these individuals. Methods: We used C2C12 cell line to evaluate the effects of the anabolic hormone insulin on the expression of protein syncytin-1, which regulates regeneration of muscle, and in the presence of fatty acids whose metabolism is altered in obesity. We used muscle biopsy samples from obese humans with lower muscle protein synthesis and lean controls to evaluate expression of syncytin-1 in obesity and its correlation with protein synthesis in muscle. Results: Insulin upregulated syncytin-1 expression in C2C12 cells and this response was impaired in the presence of the fatty acid palmitate, but not oleate. Expression of the protein 4E-BP1, which signals increase in protein synthesis in muscle, showed response similar to that of syncytin-1. Humans with obesity characterized by lower muscle protein synthesis had higher expression of syncytin-1 in muscle compared to lean humans (P < 0.01). The rate of synthesis of protein in skeletal muscle across humans subjects correlated inversely (r = -0.51; P = 0.03) with the expression of syncytin-1 in muscle. Conclusions: Our studies provide novel insights in the regulation of syncytin-1 in skeletal muscle, and describe potential link between syncytin-1 expression and protein metabolism in skeletal muscle of humans. Altered syncytin-1 expression in muscle may mediate lower protein turnover in muscle of humans with obesity.
Piezoelectric Current Generation in Wurtzite GaAs Nanowires

Generation of electric current is observed when GaAs nanowires with wurtzite crystal structure are bent by the probe of an atomic force microscope. The current originates from a piezo active phase in the nanowires due to the piezoelectric effect. Increasing of the piezo‐potential in bent nanowires enhances tunneling through the probe–nanowire Schottky barrier due to the thermionic field emission. Laser illumination amplifies short‐circuit current pulses by two orders of magnitude from 9 pA to 1 nA due to the piezo‐phototronic effect. Utilization of such piezo‐phototronic effect in GaAs nanowires is a solution to accelerate the efficiency of hybrid energy sources “piezoelectric nanogenerator − solar cell” comprised of III–V nanowires.
An Application-Driven Framework for Intelligent Transportation Systems Using 5G Network Slicing

Vehicular networks are critical pieces in support of advanced intelligent transportation systems (ITS). These networks are formed by vehicles that can be connected to one another as well as to the infrastructure, and are subject to constant topology changes, disconnections, and data congestion. Each ITS application could have a different set of communication requirements, such as delay, bandwidth, and packet delivery ratio. Meeting these heterogeneous requirements in the complex dynamic environment of vehicular networks is a challenge. This paper develops a new framework for application-driven vehicular networks using 5G network slicing. We present the architecture of the proposed solution and design algorithms for heterogeneous traffic in a dynamic vehicular environment. Our simulations on realistic vehicular scenarios show significant improvements in network performance compared to the state-of-the-art approaches.
Strategic planning research through fifty years of long range planning: A bibliometric overview

Long Range Planning (LRP) is the first journal focused on strategic planning. It was created in 1968 by theLong Range Planning Society, and it celebrated its 50th anniversary in 2018. This event led to the presentationof a complete bibliometric study aimed at identifying the most significant results that occurred in the journalduring this period. For this purpose, bibliometric data were collected from the Web of Science Core Collectiondatabase, and two bibliometric approaches were used to analyze the journal's publications: a performanceanalysis and a graphical mapping of the literature. The first of these uses a wide range of productivity andinfluence indicators that include the number of publications and citations, the h-index, and citations by paper,among others. The second approach uses the VOSviewer software to deliver a graphical view of the variousintellectual connections within LRP. The results of both bibliometric approaches are consistent and confirmLRP as a leading journal in strategic planning and management, with increasing participation of authors anduniversities from countries around the world.
Altruism in a Time of Crisis: Dissociable Social Valuation and Perception during COVID-19 in the United States

Human prosocial behaviors are constantly shaped by the push-and-pull between societal need for cooperation and one’s natural tendency to self-prioritize. Nevertheless, it remains elusive how our valuation and perceptual systems might contribute to altruistic acts under the influence of a real-world crisis. Here, using computational modeling and a game-theoretic approach, we investigated how the coronavirus pandemic perturbed altruistic choices in the United States between April and May 2020. Overall, people made more altruistic choices as the pandemic became worse, an effect primarily driven by increased preference for social welfare. Paradoxically, participants also processed self-relevant information (i.e., “self-prioritization”) more efficiently at the perceptual level, as the pandemic became worse. Furthermore, individuals’ prosocial choices and preferences did not correlate with their self-prioritization efficiency. Collectively, these results revealed a more nuanced view of human altruism — that as a dynamic and context-dependent construct, altruism can co-exist with increased attention to the self.
Dynamic Matrix Clustering Method Based on Time Series

Time series event clustering is the basis of research event classification and mining analysis. Existing clustering methods mostly directly cluster continuous events with time attributes and complex structures, without considering the conversion of clustering objects, and the accuracy of clustering results is low, and the efficiency is poor. To solve these problems, a dynamic matrix clustering method for time series events is proposed. Construct an event neighbor evaluation system, and construct a candidate set through the backward difference calculation strategy of neighbor scores. This paper proposes a method for selecting candidate sets of diverse sequences based on combinatorial optimization, and quickly obtains the optimal solution of the diverse sequence RDS from the candidate sets. Finally, the distance matrix between RDS and the data set is dynamically constructed, and a matrix clustering method based on K-means is proposed to realize the effective division of the categories of time series events.
Analysis on the Contribution of Agricultural Sector on the Economic Development of Ghana

The study empirically examines the impact of agricultural sector on the economic GDP growth of Ghana, using time series data from 1984 to 2018. The cointegration test results showed the non-existence of long-run relationships existing between the overall GDP and agricultural output. In its set-up, the error correction method estimates the long-run relationship between economic growth and agricultural output as well as fluctuation in the short-run. Based on the basic regression model, agricultural output exhibits a significantly positive impact on the overall GDP growth of the country. Similarly, the industrial and service sector also contributed positively to overall GDP growth. The results indicate the need to promote value added agricultural export expansion policies to achieve high economic GDP growth.
Analysis of The Influence of Pentagon Fraud in Detecting Financial Statement Fraud Using Method F- Score

This study aims to examine the elements of fraud in the fraud pentagon theory in detecting financial statement fraud. Pentagon fraud is variables from the pressure element, opportunity, rationalization, capability, and elements of arrogance, namely political relationships which are hypothesized to affect financial statement fraud. The F-Score method is used to determine financial statement fraud. This research sample was selected using the purposive sampling method from 47 manufacturing companies in the basic industry and chemicals industry listed on the Indonesia Stock Exchange (BEI) in the period 2015 to 2019. Hypothesis testing uses multiple regression analysis models using SPSS 22 to test the effect of the target. finance, financial stability, external pressure, institutional share ownership, ineffective supervision, influence on the nature of the industry, quality of external auditors, replacement of auditors, change of directors and political relations to financial statement fraud. The results showed that the quality of external auditors and auditor turnover had a significant positive effect on financial statement fraud. Meanwhile, financial targets, financial stability, external pressure, institutional share ownership, ineffective supervision, the influence of the nature of the industry, the change of directors, and political relations have no effect on financial statement fraud.
Examining the Role of Anxiety, Self-efficacy, and Motivation in the Vocabulary Performance among MFL Learners

Vocabulary is the key to make communication possible, learners need to acquire adequate vocabulary to help them to communicate appropriately with the target language. to learn Chinese, a foreign learner must have a grasp of a large vocabulary sufficient for communication. This quantitative study examined the potential relationship between foreign language Motivation, Language anxiety, and self-efficacy, and achievement in Mandarin Chinese vocabulary. 98 Malay-speakers of Mandarin Chinese language novice learners in a public university in Malaysia participated in the study. An unannounced vocabulary test was used to check participants' Mandarin Chinese vocabulary performance. The learning motivation, Language anxiety, and self-efficacy were measured by specifically designed instruments that targeted Mandarin Chinese vocabulary acquisition. A multiple linear regression analysis revealed that language anxiety and self-efficacy were positive and significant determinants of Mandarin Chinese vocabulary performance, although motivation was not. This confirms that the learners’ affective feature plays a role in Mandarin Chinese vocabulary acquisition.
Capacity and Fairness Maximization-Based Resource Allocation for Downlink NOMA Networks

: Non-orthogonal multiple access (NOMA) is one of the leading tech-nologies for 5G communication. User pairing (UP) and power allocation (PA) are the key controlling mechanisms for the optimization of the performance of NOMA systems. This paper presents a novel UP and PA (UPPA) technique for capacity and fairness maximization in NOMA called (CFM-UPPA). The impact of the power allocation coefficient and the ratio between the channel gains of the paired users on the sum-rate capacity and the fairness in NOMA is firstly investigated.Then, based on this investigation,the PA and UP algorithms of the CFM-UPPA technique are proposed. The power allocation coefficient of the proposed PA is formulated as an exponentially decaying function of the ratio between the channel gains of the paired users to maximize the capacity and the fairness, and its maximum value is adjusted to guarantee the successive interference cancellation (SIC) constraints. The proposed UP is based on selecting the user that has the highest channel gain per subcarrier as the strong user to maximize the capacity and selecting the user that has the closest lower channel gain to the strong user’s channel gain as the weak user to improve the fairness and capacity. The performance evaluation of the proposed CFM-UPPA technique in terms of capacity, fairness, and outage probability demonstrates that its performance significantly outperforms that of the orthogonal multiple access (OMA) system and that of the NOMA system with random UP. Also, the simulation results demonstrate the efficiency of the proposed PA in improving the performance of other UP algorithms, such as the random UP algorithm.
An Efficient Markov Chain Model Development based Prefetching in Location-Based Services

A quite significant issue with the current location-based services application is to securely store information for users on the network in order to quickly access the data items. One way to do this is to store data items that have a high likelihood of subsequent request. This strategy is known as proactive caching or prefetching. It is a technique in which selected information is cached before it is actually needed. In comparison, past constructive caching strategies showed high data overhead in terms of computing costs. Therefore, with the use of Markov chain model, the aim of this work is to address the above problems by an efficient user future position movement prediction strategy. For modeling of the proposed system to evaluate the feasibility of accessing information on the network for location-based applications, the client-server queuing model is used in this chapter. The observational findings indicate substantial improvements in caching efficiency to previous caching policies that did not use prefetch module.