Miracle-dz/UniFAR-FTUs huggingface dataset:
Tensile Characteristics of Low Density Infill Patterns for Mass Reduction of 3D Printed Polylactic Parts

Various infill patterns are introduced in 3D printing to generate low density objects that leads to reduced cost and fabrication time through mass reduction. However, as a trade-off, the strength of the 3D printed component is uncertain. Confusions arise in determining the infill pattern with highest value of tensile strength since most studies limited only to rectilinear, honeycomb, and concentric infill patterns. As consequences, there are very little information on rarely used infill patterns such as Hilbert curve, Archimedean cord and octagram spiral. Therefore, the purpose of this research is to investigate and compare the tensile strength and strain of all infill patterns in mass reduction of 3D printed components experimentally. Following ASTM D638 type III standard, ten tensile test specimens of each infill patterns with 20% density were printed with an FFF 3D printer and were then tested. It was found that Archimedean cords infill pattern had the highest specific tensile strength of 33.23×103 MPa∙mm3/g which made it as the optimum infill pattern for the mass reduction of 3D printed parts with a high tensile strength. On the other hand, having the highest specific tensile strain of 18.21×103 %∙mm3/g, concentric infill pattern was found to be more suitable for producing lightweight parts with a higher elongation before break. Additionally, Hilbert curve infill was the worst selection for mass reduction since it had the lowest values of specific tensile strength and specific strain of 19.80×103 MPa∙mm3/g and 8.34 %∙mm3/g, respectively. Nevertheless, the trends of tensile strength and strain of all six infill patterns had been obtained, especially for rarely investigated infill patterns of Archimedean cords, octagram spiral, and Hilbert curve. Specifically, the trend from the strongest to the weakest (in % compared to solid) for specific tensile strength is rectilinear (38.57%), Archimedean chords (37.29%), concentric (36.57%), octagram spiral (34.79%), honeycomb (27.84%), and Hilbert curve (22.25%), while for specific strain is concentric (102.6%), octagram spiral (83.94%), rectilinear (78.22%), Archimedean cords (77.99%), honeycomb (54.84%), and Hilbert curve (45.14%).
A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

Cloud computing (CC) delivers services for organizations, particularly for higher education institutions (HEIs) anywhere and anytime, based on scalability and pay-per-use approach. Examining the factors influencing the decision-makers’ intention towards adopting CC plays an essential role in HEIs. Therefore, this study aimed to understand and predict the key determinants that drive managerial decision-makers’ perspectives for adopting this technology. The data were gathered from 134 institutional managers, involved in the decision making of the institutions. This study applied two analytical approaches, namely variance-based structural equation modeling (i.e., PLS-SEM) and artificial neural network (ANN). First, the PLS-SEM approach has been used for analyzing the proposed model and extracting the significant relationships among the identified factors. The obtained result from PLS-SEM analysis revealed that seven factors were identified as significant in influencing decision-makers’ intention towards adopting CC. Second, the normalized importance among those seven significant predictors was ranked utilizing the ANN. The results of the ANN approach showed that technology readiness is the most important predictor for CC adoption, followed by security and competitive pressure. Finally, this study presented a new and innovative approach for comprehending CC adoption, and the results can be used by decision-makers to develop strategies for adopting CC services in their institutions.
Contributions, challenges, and emerging patterns of short-term missions

It was not until the last decade that missiologists placed the short-term missions (STM) movement at the center of their research. As the initial wave of STM scholarship surfaced, research centered on measuring the impact of STM on participants. Later, attention shifted to unraveling the impact upon the host community. More recently, with the exponential growth of partnerships between congregations in the Global North and the South, researchers have focused on analyzing the prevalent dynamics and patterns of relationships that involve STM teams. This article unravels the impact of STM in terms of its contributions and challenges to the global missionary enterprise and describes emerging patterns, such as reverse STM and multicultural STM teams.
Leadership styles and employees’ work outcomes in nonprofit organizations: the role of work engagement

This study aims to investigate the effects of transformational and transactional leaders’ behaviors on employees’ affective commitment and organizational citizenship behavior in the context of nonprofit organizations (NPOs). Additionally, this study attempts to examine the role of work engagement, as an intervening mechanism as work engagement in NPOs has been empirically neglected (Park et al., 2018). ,Data were conducted from 400 employees working in Italian NPOs in the North of Italy. For verifying the hypotheses of this study, structural equation modeling techniques were implemented. ,It was found that both transformational and transactional leaderships influenced positively affective commitment and organizational citizenship behavior, and work engagement was revealed to have significant positive mediating effects on the relationship between the variables examined in this study. ,The results of this study may be beneficial to leaders and supervisors of NPOs, specifically regarding the influence of the leaders’ behaviors on the employees’ outcomes. ,Due to the limited number of studies conducted on leadership in nonprofit organizations, this study theoretically and empirically contributes to the leadership literature as it is the first study to investigate the two styles of leadership on work-related outcomes via work engagement in the nonprofit sector.
Magnetic Difference Between Deep and Surface Soil Within an Agricultural Area in Southern China: Implications for Magnetic Mineral Transformation During Pedogenic Process Under Subtropical Climate

Mineral magnetism is proved as a sensitive method of pedogenesis by numerous studies. However, formation pathways of magnetic minerals and subsequent magnetic response are quite different under different climate. In order to improve the understanding of magnetic assemblages in paddy soil layers in relation to soil formation conditions, a systematic magnetic investigation was performed for surface and its corresponding deep soil collected from 70 sampling sites within a paddy soil area under subtropical climate, south China. Rock magnetic results showed that superparamagnetic, single‐domain, and multiple domain maghematite and hematite were produced during ferrallitization pedogenic processes. Some fine superparamagnetic and single‐domain ferrimagnetic particles were dissolved during late gleyization of paddy soil formation with increased organic matter and reductive condition. As a result, magnetism of surface soil was weaker than that of deep soil despite basically consistent magnetic mineral composition.
The use of non-financial performance measures in CEO compensation contracts and stock price crash risk

ABSTRACT This study examines whether the use of non-financial performance measures (NFPMs) in chief executive officer (CEO) compensation contracts is related to stock price crash risk. The literature on NFPMs suggests that incorporating NFPMs into executive compensation contracts motivates managers to engage less in short-term oriented behaviors such as earnings management, while the literature on crash risk focuses on short-term oriented behaviors, such as bad news hoarding, as the main cause for stock price crashes. Based largely on these literatures, we predict that the use of NFPMs in CEO compensation contracts reduces managers’ tendency to hide bad news primarily by over-estimating accruals, thereby leading to a decline in future crash risk. Consistent with this prediction, we find a negative association between the use of NFPMs and subsequent crash risk. Overall, this study enhances our understanding of stock price implications of incorporating NFPMs into CEO compensation contracts.
Complex re-operative surgery: A good physical exam could be critical

Objective: To study the prevalence and genotype of Enterobius (E.) vermicularis from adhesive tape samples in the cities of Shiraz and Khorramabad, Iran. Methods: A total of 1 000 adhesive tape samples from kindergartens in Shiraz (500 samples) and Khorramabad (500 samples) were collected and tested using a microscope to find E. vermicularis egg/s. A questionnaire was filled out for each sample. In order to characterize the genotype of E. vermicularis, the PCR-sequencing method of the mitochondrial cytochrome C oxidase subunit 1 (cox1) gene was used. Genomic DNA was extracted from the positive scotch tape samples of E. vermicularis. The cox1 gene was amplified by the polymerase chain reaction and sequenced. The sequence data were aligned using the BioEdit software and compared with the published sequences in GenBank. Phylogenetic analysis was performed using the maximum likelihood method. Results: The parasitological method showed that 15 out of the 500 samples from Shiraz (3.00%) and 12 out of the 500 samples from Khorramabad (2.40%) were infected with E. vermicularis eggs. BLAST analysis indicated that the sequenced isolates belonged to E. vermicularis genotype B while three different haplotypes were also identified. Conclusions: This is the first study on genotyping E. vermicularis in the cities of Shiraz and Khorramabad. Considering the public health importance of the disease, further studies are necessary to characterize the genotype of E. vermicularis in human populations from other regions of Iran.
Fluctuation in Pupil Size and Spontaneous Blinks Reflect Story Transportation

Thirty-nine participants listened to 28 neutral and horror excerpts of Stephen King short stories while constantly tracking their emotional arousal. Pupil size was measured with an Eyelink 1000+, and participants rated valence and transportation after each story. In addition to computing mean pupil size across 1-sec intervals, we extracted blink count and used detrended fluctuation analysis (DFA) to obtain the scaling exponents of long-range temporal correlations (LRTCs) in pupil size time-series. Pupil size was expected to be sensitive also to emotional arousal, whereas blink count and LRTC’s were expected to reflect cognitive engagement. The results showed that self-reported arousal increased, pupil size was overall greater, and the decreasing slope of pupil size was flatter for horror than for neutral stories. Horror stories induced higher transportation than neutral stories. High transportation was associated with a steeper increase in self-reported arousal across time, stronger LRTCs in pupil size fluctuations, and lower blink count. These results indicate that pupil size reflects emotional arousal induced by the text content, while LRTCs and blink count are sensitive to cognitive engagement associated with transportation, irrespective of the text type. The study demonstrates the utility of pupillometric measures and blink count to study literature reception.
STEPS NUMBER EFFECT ON HYDRAULIC PARAMETERS OF FLOWS IN STEPPED SPILLWAYS

Spillways are one of the most important parts of dams. There are several types of spillways, but they all play the same role. The flow through these structures is quite complicated hydraulically. The main focus of this study is the free surface flow in stepped spillways. Thus, the objective is to determine the influence of the steps number on the hydraulic parameters of the flow through this type of spillway. Taking into account the complexity of the equations of motion governing the flow through these structures, the use of Ansys-Fluent software was chosen in order to carry out the desired numerical models. It is to be noticed that this software is based on the finite volume method. The basic equations of the phenomenon treated are those of an incompressible fluid given by Navier-Stokes, while for modelling the turbulence the k-e equations were used. The VOF model coupled with Level-Set was also used in order to take into account the biphasic flow characteristics. The influence of the steps number on the energy dissipation, on the water level, and also on the shear stresses acting on the walls was analyzed.
Removal Persistent Organic Pollutant in the Leachate by Subsurface Horizontal Flow Construction Wetland in Lab Scale CWs

Hard organic compounds such as humic, fulvic in leachate which require treatment to make it dischargeable into the water stream. CWs is designed in the dimension of DxRxH = 2.5x0. 8x0.5m. The filter materials used are small pebbles, crushed stone, and large pebbles. In this work, the effectiveness of removing colour and COD from leachate with Canna Lily CWs with activated sludge. Removal of COD and colour by CWs were 75.2% and 80.0% after 5 days, COD removal and colour increase were 9.7%, 5.6%, when adding 200mg of activated sludge to CWs. The quality of leachate is up to standard with HTR of 6 days with COD and 7 days with colour. The treatment time for leachate meets QCVN 40:2011/BTNMT standards is 7 days.
Effects of internal branding and brand-oriented leadership on work-related outcomes

ABSTRACT This study develops an empirical model to test the effect of internal branding and brand-oriented leadership on employees’ service recovery performance and turnover intention, with a particular emphasis on psychological contract as a mediator. Using a quantitative approach, questionnaire responses were collected from frontline employees of four- and five-star hotels in the Turkish Republic of Northern Cyprus. Statistical analyses were performed using the SmartPLS software. The results of the statistical analyses showed internal branding and brand-oriented leadership positively influence psychological contracts. Moreover, the results suggest that hotels need to establish effective internal branding mechanisms to relay their brand messages through internal communication, training, briefings, and meetings. It was observed that, in general, a psychological contract guarantees a partial complementary mediation between internal branding and brand-oriented leadership on service recovery performance and turnover intention.
The provision of patron services in Chinese academic libraries responding to the COVID-19 pandemic

PurposeThe purpose of this paper is to identify the measures employed in the provision of patron services in Chinese academic libraries responding to the COVID-19 pandemic, noting the challenges and issues inherent in providing substantial services while undergoing a public health emergency.Design/methodology/approachThis paper uses an analytical survey study of 137 Chinese academic libraries using data collected through a combination of website investigation, social media access and direct correspondences.FindingsOver 94% of Chinese academic libraries released COVID-19-related information through their websites; the majority switched their service focus to partly or solely remotely online, including remote access, free electronic resources, virtual references reachable 24/7 and research support services deliverable online; services of print materials were altered to e-books for conveniences.Research limitations/implicationsIt should be noted that the survey was conducted from February 12 to April 5, 2020; because of the rapid updates to the library's website and social media channels, the status of their patron services are in the process of dynamic changes and that there should be many libraries that have adopted some patron service methods, but this study is difficult to cover comprehensively. In addition, patron services carried out offline by the surveyed libraries but not disclosed on the online platform could not be analyzed in a way that would be consistent with the data provided by the survey.Originality/valueBy providing evidence of the current status of patron services in Chinese academic libraries during the COVID-19 pandemic, this study helps fulfill the scant empirical attention given to the impact of nationwide public health crises on academic libraries and offers new data of the best practices that help library administrators enhance the impact, efficiency and value of library services to their target community users.
Mathematical Modeling, Moisture Diffusion and Color Quality in Intermittent Microwave Drying of Organic and Conventional Sweet Red Peppers

The aims of this research were to evaluate the influence of intermittent microwave drying on the moisture diffusion and color qualities of organically and conventionally grown sweet red peppers and mathematically express drying kinetic data. Pepper samples of 150 g were dried at 150, 300 and 450 W using a microwave oven. Results showed that intermittent microwave drying at 450 W occurred mainly in the falling rate period, whereas drying at lower powers resulted in relatively longer constant rate periods for both peppers types. The Midilli model provided the best fit for all data. The moisture diffusivity (Deff) values of organic and conventional samples ranged from 59.69 × 10−10 to 182.01 × 10−10 m2s−1 and from 59.11 × 10−10 to 181.01 × 10−10 m2s−1, respectively, and the difference was insignificant. The pre-exponential factor for the Arrhenius equation (D0) and activation energy (Ea) values were almost identical for both product types. Overall, organic or conventional growing did not alter the structural features related to the heat transfer properties. Intermittent microwave drying at 150 and 300 W for organic peppers and 150 W for conventional peppers gave the highest ΔL*, Δa* and a*/b* values, producing the most bright and red pepper powders. Thus, these treatments can be used to produce higher color quality powders.
The Use of Ion Liquids as a Trojan Horse Strategy in Enzyme-Catalyzed Biotransformation of (R,S)-Atenolol

The enzymatic method was used for the direct biotransformation of racemic atenolol. The catalytic activities of commercially available lipases from Candida rugosa were tested for the kinetic resolution of (R,S)-atenolol by enantioselective acetylation in various two-phase reaction media containing ionic liquids. The composed catalytic system gave the possibility to easy separate substrates and products of the conducted enantioselective reaction and after specific procedure to reuse utilized enzymes in another catalytic cycle.
The Moderation of Parental Support on the Relationship Between Race-Related Career Barriers and Academic Achievement

This study investigated the relationship between college students’ perception of race-related barriers in career and educational development and their immediate (first-semester grade point average [GPA]) and long-term academic performance (4-year cumulative GPA) and the role of parents’ instrumental and emotional support in moderating such effects. Participants were 820 undergraduate students at a Mid-Atlantic university in the United States. Path analysis of the proposed moderated mediation model indicated that (1) perception of race-related barriers was significantly and negatively correlated with students’ 4-year cumulative GPA, (2) parents’ instrumental support negatively predicted students’ 4-year GPA, whereas emotional support positively predicted students’ 4-year GPA, and (3) parental emotional support significantly buffered the negative direct effect of race-related barriers on students’ 4-year GPA. Research and practical implications were discussed.
SONA: A relational methodology to identify structure in networks

Abstract The study of networks has been characterized by a dualism of methods. Researchers either use interpretive methods to explore the quality of social relations, or quantitative methods to assess the formal structure of network connectivity. However, because relational and structural characteristics of networks are interdependent, we present a method for Situational Organizational Network Analysis to overcome this dualism. In sequencing and integrating qualitative, quantitative and action research techniques, SONA is designed to help unveil authentic understandings of socially meaningful structure in compliance with research ethics. Drawing on a decade of research experience we describe the workings of this integrative method and elaborate on its valued-added compared to single methods. Building on selected applications, we demonstrate how the tailored use of SONA enhances cross-validation, supports original theory-building, and empowers reflexive transformative research.
Consensus problem for continuous‐time multiagent systems with nonconvex control input and velocity constraints

In this work, a consensus problem with nonconvex control input and velocity constraints is studied for continuous‐time multiagent systems. In order to solve this problem, a fully distributed nonlinear algorithm is provided and an analysis approach is proposed based on the contraction property of an equivalent time‐varying system after a model transformation. It is shown that consensus can be achieved under the condition that there exists a directed spanning tree in the union of the communication graphs in each certain time interval. A numerical simulation is provided to show the obtained result.
Forward and Backward Continuation Ratio Models for Ordinal Response Variables

There are different types of continuation ratio (CR) models for ordinal response variables. The different model equations, corresponding parameterizations, and nonequivalent results are confusing. The purpose of this study is to introduce different types of forward and backward CR models, demonstrate how to implement these models using Stata, and compare the results using data from the Educational Longitudinal Study of 2002 (ELS:2002).
Modeling the Spatial Distribution of Three Typical Dominant Wetland Vegetation Species’ Response to the Hydrological Gradient in a Ramsar Wetland, Honghe National Nature Reserve, Northeast China

Water level fluctuations resulting from natural and anthropogenic factors have been projected to affect the functions and structures of wetland vegetation communities. Therefore, it is important to assess the impact of the hydrological gradient on wetland vegetation. This paper presents a case study on the Honghe National Nature Reserve (HNNR) in the Sanjiang Plain, located in Northeast China. In this study, 210 plots from 18 sampling line transects were sampled in 2011, 2012, and 2014 along the hydrological gradient. Using a Gaussian logistic regression model, we determined a relationship between three wetland plant species and a hydrologic indicator—a combination of the water level and soil moisture—and then applied that relationship to simulate the distribution of plants across a larger landscape by the geographic information system (GIS). The results show that the optimum ecological amplitude of Calamagrostis angustifolia to the hydrological gradient based on the probability of occurrence model was [0.09, 0.41], that of Carex lasiocarpa was [0.35, 0.57], and that of Carex pseudocuraica was [0.49, 0.77]. The optimum of Calamagrostis angustifolia was 0.25, Carex lasiocarpa was 0.46, and Carex pseudocuraica was 0.63. Spatial distribution probability maps were generated, as were maps detailing the distribution of the most suitable habitats for wetland vegetation species. Finally, the model simulation results were verified, showing that this approach can be employed to provide an accurate simulation of the spatial distribution pattern of wetland vegetation communities. Importantly, this study suggests that it may be possible to predict the spatial distribution of different species from the hydrological gradient.