Miracle-dz/UniFAR-FTUs huggingface dataset:
An identification perspective of servant leadership’s effects

Purpose – The purpose of this paper is to reveal the identification-based mechanisms through which servant leadership affects desired outcomes (organizational citizenship behavior (OCB) toward coworkers and turnover intention) in the service industry in China. Design/methodology/approach – The data of 293 pairs of valid subordinate-supervisor dyads were collected from the hospitality industry in China with a time lag of 30 days to reduce common method bias. Hypotheses were tested by a bootstrapping method and rival model comparisons. Findings – The authors demonstrate that both the subordinate’s identification with the supervisor and identification with the organization play crucial roles in translating servant leadership’s effects to subordinate’s coworker-oriented OCBs and turnover intention. However, the occurrence of the two identifications seems to be not parallel but in sequence (i.e. pointing from identification with the supervisor to identification with the organization). In addition, results show.
A THIRD ORDER LINEARIZED BDF SCHEME FOR MAXWELL’S EQUATIONS WITH NONLINEAR CONDUCTIVITY USING FINITE ELEMENT METHOD

In this paper, we study a third order accurate linearized backward differential formula (BDF) type scheme for the nonlinear Maxwell’s equations, using the Nédelec finite element approximation in space. A purely explicit treatment of the nonlinear term greatly simplifies the computational effort, since we only need to solve a constant-coefficient linear system at each time step. An optimal L error estimate is presented, via a linearized stability analysis for the numerical error function, under a condition for the time step, τ ≤ C 0h 2 for a fixed constant C 0 . Numerical results are provided to confirm our theoretical analysis and demonstrate the high order accuracy and stability (convergence) of the linearized BDF finite element method.
Detecting decreased sexual health with MDHAQ-S

There are instruments that measure sexual function or sexual health for persons with RA, but since sexual health is a sensitive issue, the hypothesis is that it would be easier to have a standard questionnaire that could indicate the need for communication about sexual health issues instead of an extra questionnaire with more detailed questions on sexual health. The aim of the study is to find out whether sexual health difficulties can be screened by factors included in the MDHAQ-S for persons with RA. This study explores the relation between factors included in the MDHAQ-S and the Sexual Health Questionnaire (QSH) using a mixed methods design combining quantitative and qualitative data. The MDHAQ-S covers sexual health issues, not only by using the question on sexual health, but also on other factors included in the questionnaire such as increased pain, fatigue, depression, anxiety, physical capacity, level of physiccal activity and body weight. To explore decreased sexual arousal, decreased sexual satisfaction and decreased sexual well-being, in-depth interviews must be held with persons with RA, either using a sexual health questionnaire or in a clinical interview.
Defining the low‐risk salvage laryngectomy—A single‐center retrospective analysis of pharyngocutaneous fistula

Salvage total laryngectomies (STL) are not a homogeneous group. Most will fall into two groups: i) Patients with previous AJCC stage I/II larynx cancer who have had radiotherapy to the larynx only (STL‐LOR), or ii) Patients who have had previous AJCC stage III/IV larynx cancer and subsequent radiotherapy to the larynx and draining nodal basins with concurrent cisplatin chemotherapy (STL‐CRT). We aimed to compare PCF rates following STL in these two groups.
Privacy-Preserving Meter Report Protocol of Isolated Smart Grid Devices

Smart grid aims to improve the reliability, efficiency, and security of the traditional grid, which allows two-way transmission and efficiency-driven response. However, a main concern of this new technique is that the fine-grained metering data may leak the personal privacy information of the customers. Thus, the data aggregation mechanism for privacy protection is required for the meter report protocol in smart grid. In this paper, we propose an efficient privacy-preserving meter report protocol for the isolated smart grid devices. Our protocol consists of an encryption scheme with additively homomorphic property and a linearly homomorphic signature scheme, where the linearly homomorphic signature scheme is suitable for privacy-preserving data aggregation. We also provide security analysis of our protocol in the context of some typical attacks in smart grid. The implementation of our protocol on the Intel Edison platform shows that our protocol is efficient enough for the physical constrained devices, like smart meters.
The long-term mental health impact of peacekeeping: prevalence and predictors of psychiatric disorder

Background The mental health outcomes of military personnel deployed on peacekeeping missions have been relatively neglected in the military mental health literature. Aims To assess the mental health impacts of peacekeeping deployments. Method In total, 1025 Australian peacekeepers were assessed for current and lifetime psychiatric diagnoses, service history and exposure to potentially traumatic events (PTEs). A matched Australian community sample was used as a comparator. Univariate and regression analyses were conducted to explore predictors of psychiatric diagnosis. Results Peacekeepers had significantly higher 12-month prevalence of post-traumatic stress disorder (16.8%), major depressive episode (7%), generalised anxiety disorder (4.7%), alcohol misuse (12%), alcohol dependence (11.3%) and suicidal ideation (10.7%) when compared with the civilian comparator. The presence of these psychiatric disorders was most strongly and consistently associated with exposure to PTEs. Conclusions Veteran peacekeepers had significant levels of psychiatric morbidity. Their needs, alongside those of combat veterans, should be recognised within military mental health initiatives. Declaration of interest None. Copyright and usage This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) licence.
Secondary prevention of major cerebrovascular events with seven different statins: a multi-treatment meta-analysis

Background Statins have been recommended for the use in atherosclerotic cardiovascular diseases, but different statins have distinct pharmacological characteristics. This multi-treatment meta-analysis aimed to evaluate the efficacy of seven statins in the secondary prevention of major cerebrovascular events (CVEs). Methods and analyses The PubMed, Embase, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials were searched to identify studies published between January 1, 2011, and June 30, 2016. The included randomized controlled trials investigated the efficacy of lovastatin, atorvastatin, fluvastatin, simvastatin, pitavastatin, pravastatin or rosuvastatin in the secondary prevention of CVEs. The primary outcomes were CVEs; the secondary outcomes were all-cause death, fatal stroke and nonfatal stroke. Meta-analysis and network meta-analysis were used for data synthesis. Results A total of 42 studies with 82,601 patients were included for analysis. In the secondary prevention of cardiovascular diseases, the major CVEs in pravastatin (risk ratio [RR] 0.87, 0.76–0.99)- and atorvastatin (RR 0.59, 0.49–0.72)-treated patients reduced significantly compared with controls. Indirect comparisons with network meta-analysis showed that RR was 0.60 (0.40–0.92) for atorvastatin compared with rosuvastatin. Compared to controls, the all-cause death was reduced by 12% in statins-treated patients (RR 0.88, 0.81–0.96). Indirect comparisons with network analysis showed a significant difference in the nonfatal stroke between fluvastatin-treated patients and lovastatin-treated patients (RR 0.28, 0.07–0.95). Conclusion Different statins have distinct pharmacological characteristics, and there are differences in statistical and clinical outcomes among several statins.
Metal Retention Mechanisms in Pilot-Scale Constructed Wetlands Receiving Acid Mine Drainage

Mining and metallurgical industries are critical to world’s economy; however, their socioenvironmental impacts are not negligible. Often, they have to deal with acid mine drainage (AMD), which is generated by sulfide oxidation in waste following the prolonged exposure to oxygen and water, if neutralizing minerals are insufficient. The AMD is characterized by low pH and high concentrations of dissolved metals and sulfates. Environmental impacts of AMD can be minimized by passive treatment systems such as constructed wetlands (CWs). They represent an interesting approach, from technological, economic, environmental and regulatory points of view, for the efficient treatment of AMD impacted waters. Wetlands have the capacity to increase pH and alkalinity, to remove dissolved iron and other metals, and to reduce sulfate concentration in AMD. Water treatment is accomplished by various physical (e.g. sedimentation, flocculation), chemical (e.g. sorption) and biological processes (e.g. sulfate reduction, phytoextration) acting independently, in some cases, or interactively, in others. However, cold climate could be challenging for CWs efficiency. For the purpose of the present study, small-scale laboratory tests using cattail (Typha latifolia) were designed and carried out in 0.2 m2 reactors filled with reactive mixtures, including substrates. The AMD, pH 4.2, contained an average 38.0 mg/L Fe, 2.6 mg/L Mn, 0.4 mg/L Ni, and 9.0 mg/L Zn, at pH 4.2. The AMD flow rate is 1.5ml/min. CWs efficiency was evaluated during a 3 months period. Water chemistry analysis, as well as sequential extraction procedure (SEP) and microwave digestion of solids and plants were performed. Removal efficiency of Fe and Zn after treatment was up to 99%, at neutral pH. However, the removal of Mn and Ni, as well as of sulfate was negligible. The results of SEP performed on solids proved to be efficient tools for assessing metal fractionation and their potential mobility.
Contour detection via random forest

Contour detection is an important and fundamental problem in computer vision that finds numerous applications. In this paper, we propose a learning algorithm for contour detection via random forest. Visual cues that can be extracted easily and efficiently are integrated to learn a detector where the decision of an contour pixel is made independently via the random forest at each location in the image. We evaluate the proposed algorithm against leading methods in the literature on the Berkeley Segmentation Dataset. Experimental results demonstrate that the proposed contour detection algorithm performs favorably against state-of-the-art methods in terms of speed and accuracy.
Arbovirus Infection is a Major Determinant of Fitness in House Sparrows (Passer domesticus) that Invade Cliff Swallow (Petrochelidon pyrrhonota) Colonies

ABSTRACT. Wild birds play a key role in the amplification and transmission of many of the arthropod-borne viruses (arboviruses). Determining the extent to which birds are affected by these viruses is critical in predicting the pathogens' spread or maintenance in vertebrate host populations. Little is known about how arboviruses affect amplifying hosts' fitness, especially in cases where these viruses infect nestling birds. Buggy Creek virus (BCRV; Togaviridae: Alphavirus) is an RNA arbovirus transmitted by the Swallow Bug (Oeciacus vicarius) to Cliff Swallows (Petrochelidon pyrrhonota) and House Sparrows (Passer domesticus) that have recently occupied Cliff Swallow nesting colonies. We examined fitness, as measured by fledging success, of House Sparrows occupying Cliff Swallow nesting colonies in western Nebraska. Most nestlings naturally infected by BCRV at 4–6 days of age died, and even older nestlings, when infected, showed fledging success of <40%. Whether ≥1 nestling in a brood was infected with BCRV was the most important determinant of nest success in this population. Colony sites with high BCRV prevalence had lower rates of nest success, and surviving broods at those sites were smaller. Although most infected nestling House Sparrows eventually die, they survive long enough to infect Swallow Bugs, and in this way they play a critical role in BCRV transmission. Frequent emigration of unexposed House Sparrows into these colonies and their renesting throughout the summer leads to these sites being perpetual foci for BCRV epizootics. Few other arboviruses are known to have such extreme effects on the fitness of their vertebrate hosts.
EVALUATION OF ANTIMICROBIAL ACTIVITY IN OLIVE ( OLEA EUROPAEA ) LEAF EXTRACT

In this study the antimicrobial activity of Olive Leaf Extracts (OLE) was screened against five gram-positive and five gram-negative bacteria. The antimicrobial activity was evaluated using disc diffusion and microdilution methods. The diameters of inhibition zones of the olive leaf extract were observed 13.33±2.08 mm against S. typhimurium and 21.67±1.53 mm against B. cereus. There was a similarity between the inhibition zones of olive leaf extract and Gentamicin discs against S. typhimurium, P. vulgaris and P. aeruginosa. While Minimum Inhibitory Concentrations (MIC) of olive leaves extract against, L. monocytogenes, E. coli O157, E. sakazakii and P. aeruginosa was g32 mg mL-1, the MIC against the other bacteria (B. cereus, S. aureus, E. faecalis, P. vulgaris, E. coli, S. typhimurium) that used in this study was g16 mg mL-1. It's considered that some other works should be conducted about using olive leaf extract in food industry as a natural antimicrobial food additivie as well as medicine and pharmaceutical industry.
On the Enumeration of Maximal (Δ, γ)-Cliques of a Temporal Network

A temporal network is a mathematical way of precisely representing a time-varying relationship among a group of agents. It is an interesting problem to identify different groups of them, which reveal certain communicating patterns. To study this problem, in this paper, we introduce the notion of (Δ, γ)-cliques of a temporal network, where every pair of vertices present in the clique communicates at least γ times in each Δ period within a given time duration. We present an algorithm for enumerating all such maximal cliques present in the network. We also implement the proposed algorithm with three human contact network datasets. Based on the obtained results, we analyze the data set on multiple values of Δ and γ, which helps in finding out the contact groups with different frequencies.
Relationship Between BMI and Athletic Ability of Children and Adolescents in Shandong

Objective To study the relationship between BMI and athletic ability of children and adolescents, and to provide basis for their physical quality improvement. Methods Among 12 070 children aged 7-18, a correlative analyze was made between body mass index (BMI) and 50m running, standing long jump, slanting pull-up/pull-up(male), sit-up(female), endurance running and body bending. A primary screening examination for obesity was made according to the BMI standard for over-weight and obesity of students in China, the constitution of obese children and adolescents were evaluated. Results There were significant negative correlations between BMI and speed, endurance, explosive strength of legs and muscle force. Obese children had poor athletic ability. Conclusion High BMI does harm to athletic ability. It is necessary to control body weight and enforce physical training.
Boys' literacy development: Navigating the intersection of popular culture, new literacies, and high-stakes assessments

Prior scholarship suggests that many boys are disengaged from school-based literacy because they do not see its value or significance in their lives. In response, this study investigates the role of popular culture and new literacies in motivating adolescent boys within secondary English. Drawing on sociocultural approaches to literacy research, this case study at a boys' high school in Australia builds upon previous research on boys' literacy and offers insights into the potential connections between boys' school-based literacy practices and their out-of-school interests and experiences. The findings indicate that teachers positively believe in the potential for new literacies and popular culture texts to motivate and engage adolescent boys. At the same time, the study suggests that some boys find new literacy practices unnecessary as they move into their senior years of high school and prepare for the New South Wales Higher School Certificate exam.
Optimal Neural Network Feature Selection for Spatial-Temporal Forecasting

Neural networks, and in general machine learning techniques, have been widely employed in forecasting time series and more recently in predicting spatial-temporal signals. All of these approaches involve some kind of feature selection regarding what past data and what neighbor data to use for forecasting. In this article, we show extensive empirical evidence on how to independently construct the optimal feature selection or input representation used by the input layer of a feed forward neural network for the purpose of forecasting spatial-temporal signals. The approach is based on results from the dynamical systems theory, namely, nonlinear embedding theorems. We demonstrate it for a variety of spatial-temporal signals and show that the optimal input layer representation consists of a grid, with spatial-temporal lags determined by the minimum of the mutual information of the spatial-temporal signals and the number of points taken in space-time decided by the embedding dimension of the signal. We present evidence of this proposal by running a Monte Carlo simulation of several combinations of input layer feature designs and show that the one predicted by the nonlinear embedding theorems seems to be optimal or close to being optimal. In total, we show evidence in four unrelated systems: a series of coupled Hénon maps, a series of coupled ordinary differential equations (Lorenz-96) phenomenologically modeling atmospheric dynamics, the Kuramoto-Sivashinsky equation, a partial differential equation used in studies of instabilities in laminar flame fronts, and finally real physical data from sunspot areas in the Sun (in latitude and time) from 1874 to 2015. These four examples cover the range from simple toy models to complex nonlinear dynamical simulations and real data. Finally, we also compare our proposal against alternative feature selection methods and show that it also works for other machine learning forecasting models.
Salivary Glands: A Powerful Experimental System to Study Cell Biology in Live Animals by Intravital Microscopy

Mammalian cell biology has been studied primarily by using in vitro models. Among them, cell cultures are the most extensively used since they make possible to study in great detail the molecular machineries regulating the biological process of interest. Indeed, cell cultures offer several advantages such as, being amenable to both pharmacological and genetic manipulations, reproducibility, and relatively low costs. However, their major limitation is that the architecture and physiology of cells in vitro may differ considerably from the in vivo environment. This reflects the fact that cells in a living organism i) have a three-dimensional architecture, ii) interact with other cell populations, iii) are surrounded by an extracellular matrix with a specific and unique composition, and iv) receive a number of cues from the vasculature and from the nervous system that are essential for maintaining their functions and differentiation state (Cukierman et al., 2001; Ghajar and Bissell, 2008; Xu et al., 2009). In the last two decades, cell biology has greatly benefited from major technological advances in light microscopy that have enabled imaging virtually any cellular process at different levels of resolution. The development of genetically-encoded fluorescently tagged proteins (Chalfie et al., 1994) has triggered the development of novel technologies such as FRAP, FLIM, FRET, BRET, photo-activation, photo-switching and photo-conversion (Diaspro, 2002; LippincottSchwartz, 2011a, b), and the realization of more sophisticated microscopes, which have significantly improved the limits of light microscopy in terms of both temporal (spinning disk, resonant scanners) and spatial (PALM, STORM, STED) resolution (Lippincott-Schwartz, 2011a, b). However, the application of these very powerful technologies has been primarily restricted to in vitro systems. One of the major breakthroughs in light microscopy is the realization of instruments based on non-linear emissions (Denk et al., 1990; Mertz, 2004; Zipfel et al., 2003b), which has opened the door to the development of intravital microscopy (IVM). IVM encompasses a series of light microscopy-based techniques aimed at studying several physiological processes in live animals (Amornphimoltham et al., 2011; Fukumura et al., 2010; Weigert et al., 2010). In particular, two-photon microscopy (TPM) has been instrumental in developing fields such as neuroscience, immunology and tumor biology For example,, TPM has made possible imaging the behavior of single neuronal populations in the brain of live animals leading to fundamental discoveries in neuronal plasticity and neurotransmission, thus
Inherent Biases in Reference-based Evaluation for Grammatical Error Correction

The prevalent use of too few references for evaluating text-to-text generation is known to bias estimates of their quality (henceforth, low coverage bias or LCB). This paper shows that overcoming LCB in Grammatical Error Correction (GEC) evaluation cannot be attained by re-scaling or by increasing the number of references in any feasible range, contrary to previous suggestions. This is due to the long-tailed distribution of valid corrections for a sentence. Concretely, we show that LCB incentivizes GEC systems to avoid correcting even when they can generate a valid correction. Consequently, existing systems obtain comparable or superior performance compared to humans, by making few but targeted changes to the input. Similar effects on Text Simplification further support our claims.