Miracle-dz/UniFAR-FTUs huggingface dataset:
The Subnival Vegetation of Moquegua, South Peru: Chasmophytes, Grasslands and Cushion Communities

The present work is a phytosociological synthesis and syntaxonomic overview of the vegetation of the highest subnival parts (superpuna) of the open alpine vegetation of the high plateaus (puna) of the Andes of Moquegua, South West Peru, as related to the main environmental gradients. Using TWINSPAN and DCA ordination analysis, 153 phytosociological relevés were analyzed. For each association, subassociation and community, the syntaxonomy, floristic diversity and relation with environmental variables are described. The syntaxonomy and synecology of superpuna vegetation was studied in 19 localities at an altitude of 4450–4800 m. The study area has a pluviseasonal climate with yearly rainfall (December-April). Four main highland vegetation types were distinguished: 1. slope and scree chasmophyte vegetation composed of shrubs, cushions, ground rosettes and grasses, 2. grasslands (grazed and ungrazed) characterized by great species richness in shrubs, cushions, ground rosettes, grasses and herbs, 3. vegetation of plateaus with cushions, shrubs, ground rosettes, herbs and grasses and 4. nitrophilous vegetation with high cover and low species richness. Within the vegetation of the orotropical and cryorotropical bioclimatic belts three phytosociological classes can be distinguished: Argyrochosmetea niveae (chasmophytic vegetation), Calamagrostietea vicunarum (grasslands with cushions), Anthochloo lepidulae-Dielsiochloetea floribundae (highland slopes and plateaus) and a nitrophylous community. One new association from rock and scree slopes was described within the Saxifragion magellanicae (Argyrochosmetea niveae). Within the Calamagrostion minimae, which comprises grasslands with cushions and mat-forming plants, one new association with two subassociations could be distinguished. Within the grassland and cushion associations of the Azorello-Festucion (Calamagrostietea vicunarum), three new associations were described, comprising nine subassociations. In the Anthochloo-Dielsiochloetalia one new and one previously described association and one community are distinguished. In addition, the nitrophilous community of Tarasa nototrichoides and Urtica flabellata has been described. In total the vegetation comprised 172 vascular species belonging to 32 families. Our study provides the first syntaxonomic revision of chasmophytes, cushion associations and high-altitude grasslands in the Andes of North Moquegua. The proposed syntaxonomic scheme contains the associations distributed under similar habitat conditions throughout the Southern Andes of Peru, but also the associations reflecting the local floristic and environmental patterns. The subnival vegetation of Moquegua hosts some rare endangered and/or protected plant species.
The role of knowledge sharing, trust as mediation on servant leadership and job performance

Article history: Received: November 18, 2020 Received in revised format: November 28 2020 Accepted: December 27, 2020 Available online: December 28, 2020 This study analyzes the effect of servant leadership on job performance with, trust and knowledge sharing as mediating variables. The research is classified in the quantitative analysis used to test the significance between latent variables. The study sample includes 164 of the STIE Malangkucecwara postgraduate program alumni from 2010 to 2019. Data are collected through an online questionnaire and the SmartPls processes the results. The results show that job performance was directly affected by servant leadership. Trust and knowledge sharing are proven as variables that mediate the influence between servant leadership and job performance with the nature of full mediation. Serving leadership tends to increase employee trust in leaders and organizations and stimulates a culture of sharing knowledge to increase employee job performance. The results can be a basis for further studies in the field of management, especially those related to servant leadership, and as material for practical understanding for leaders in various areas of
High-Gain Observer Design for a Class of Quasi-Linear Integro-Differential Hyperbolic Systems—Application to an Epidemic Model

This article addresses the problem of high-gain observer design for a class of quasi-linear hyperbolic systems (with one characteristic velocity), possibly including nonlocal terms, making them systems of partial integro-differential equations. The design relies on distributed measurement of a part of the state vector. The observer is presented and discussed and the exponential stability in the <inline-formula><tex-math notation="LaTeX">$C^1$</tex-math></inline-formula> spatial norm of the origin for the error system is fully established via Lyapunov-based analysis. Its use is illustrated via an application to an age-dependent susceptible, infected, recovered (SIR) epidemic model.
Biosorption of Copper by Penicillium sp.

Abstract Cu adsorption studies were carried out using Penicillium sp. Adsorption kinetics depend on various factors such as pH, concentration of initial Cu ion, biomass concentration and temperature. The metal uptake capacity increased with increase of pH, initial metal ion concentration whereas, it decreased with increase of temperature and biomass amount. Biosorption of Cu was also carried out in presence of various other metal ions. The suppression of Cu uptake was more in presence of metal ions such as Co, Ni and Zn and least in case of Pb and Cd.
Whistler and Broadband Electrostatic Waves in the Multiple X‐Line Reconnection at the Magnetopause

We investigate whistler‐mode waves and broadband electrostatic waves (EWs) within an ion diffusion region (IDR) at the magnetopause. The quasi‐parallel whistlers are observed in the separatrix regions associated with the electron anisotropy or loss cone, while the oblique whistlers, the Buneman‐type waves, and the oblique EWs are observed in the center of the current sheet associated with the accelerated electron or ion beams. The whistlers are linked with Buneman‐type waves by the electron Pacman distribution rather than the wave‐wave process. The accelerated cold electron beams excite the Buneman‐type instabilities and make the anisotropy or loss cone of hot electrons less apparent, which led to the conversion of the whistlers from quasi‐parallel to oblique. Additionally, the oblique EWs are associated with the ion beams produced by the multiple X‐line reconnection. These results provide a further understanding of the relation between plasma waves and plasma kinetics in the IDR.
Comment on ‘fluctuation-dominated phase ordering at a mixed order transition’

Renewal processes generated by a power-law distribution of intervals with tail index less than unity are genuinely non-stationary. This issue is illustrated by a critical review of the recent paper by Barma, Majumdar and Mukamel (2019 J. Phys. A 52 254001), devoted to the investigation of the properties of a specific one-dimensional equilibrium spin system with long-range interactions. We explain why discarding the non-stationarity of the process underlying the model leads to an incorrect expression of the critical spin–spin correlation function, even when the system, subjected to periodic boundary conditions, is translation invariant.
The proportion of death anxiety and its related factors during the COVID-19 pandemic in the Iranian population

Background The worldwide emergence of COVID-19 has brought about various psychological consequences, including anxiety, fear of death, etc Objectives This study was aimed at determining the proportion of death anxiety and its covariates during the COVID-19 pandemic in Shahroud city, Iran Material and methods This cross-sectional study was conducted on 1,215 participants Data was collected by convenient sampling method with online tools, including an awareness and attitude checklist toward COVID-19, Templar Death Anxiety Questionnaire and the Generalized Anxiety Disorder (GAD-7) Questionnaire The data was analyzed using descriptive and inferential statistics (multivariate linear regression analysis) The significant level for all tests was considered to be 0 05 Results The results indicated that the mean score ± standard deviation of death anxiety and GAD were 6 46 ± 3 33 and 6 27 ± 4 83, respectively Of all participants, 49 1% reported high death anxiety Parallel to the high anxiety level, a significant increase in death anxiety was observed (p &lt; 0 001) Moreover, factors such as younger age and the death of a family member due to COVID-19 were significantly correlated with death anxiety (p = 0 024 and p = 0 001) Conclusions Assessing anxiety among exposed clients and applying anxiety reduction and coping methods, such as problem-solving techniques, as well as providing comprehensive and practical information on methods to control and adapt with this disease, are recommended to be implemented in health care systems © by Wydawnictwo Continuo
Volt–Var Optimization and Reconfiguration: Reducing Power Demand and Losses in a Droop-Based Microgrid

Optimal planning and dispatch for satisfying peak demand are challenging, especially for microgrids with significant penetration of renewable energy. In extreme cases such as weather contingencies, microgrid operators may resort to load shedding. Alternatively, conservation voltage reduction (CVR) can be used to decrease the power and energy demand across the network. In this article, a mixed-integer linear programming problem has been formulated for a droop-based microgrid to implement network-wide CVR along with minimal line losses. For planning purpose, optimal sizing and placement of distributed generators (DG) is performed initially. Afterwards, a day-ahead dispatch is generated for these DGs for a realistic hourly load profile considering residential and industrial loads. Besides, network reconfiguration concept has been explored to boost the demand reduction. Furthermore, the effect of using a constant impedance-current-power (ZIP) load model instead of considering the classic constant impedance load model has been tested. The effectiveness of the proposed optimization has been tested on 33 and 69 bus islanded microgrids. The obtained results demonstrate the accuracy of the proposed planning and dispatch formulation, and validate its utility in reducing the power and energy consumption while attracting very low line losses.
The effects of meteorological parameters and diffusive barrier reuse on the sampling rate of a passive air sampler for gaseous mercury

Passive air sampling of gaseous mercury (Hg) requires a high level of accuracy to discriminate small differences in atmospheric concentrations. Meteorological parameters have the potential to decrease this accuracy by impacting the sampling rate ( SR ), i.e., the volume of air that is effectively stripped of gaseous mercury per unit of time. We measured the SR of a recently calibrated passive air sampler for gaseous Hg in the laboratory under varying wind speeds (wind-still – 6 m s −1 ), temperatures (−15–35 °C), and relative humidities (44–80 %). While relative humidity has no impact on SR , SR increases slightly with both wind speed (0.003 m 3 day −1 increase in SR or 2.5 % of the previously calibrated SR for every m s −1 increase for wind speeds > 1 m s −1 , typical of outdoor deployments) and temperature (0.001 m 3 day −1 increase in SR or 0.7 % for every 1 °C increase). The temperature dependence can be fully explained by the effect of temperature on the molecular diffusivity of gaseous mercury in air. Although these effects are relatively small, accuracy can be improved by adjusting SR s using measured or estimated temperature and wind speed data at or near sampling sites. We also assessed the possibility of reusing Radiello® diffusive barriers previously used in the passive air samplers. The mean rate of gaseous Hg uptake was not significantly different between new and previously used diffusive barriers in both lab and outdoor deployments, irrespective of the applied cleaning procedure. No memory effect from Radiellos® previously deployed in a high Hg atmosphere was observed. However, a loss in replicate precision for the dirtiest Radiellos® in the indoor experiment suggests that cleaning is advisable prior to reuse.
Is It a Good Idea for Chemistry and Sustainability Classes to Include Industry Visits as Learning Outside the Classroom? An Initial Perspective

Learning outside the classroom (LOtC) activities are part of pedagogical methodologies that are currently applied in the development of student skills. The objective of this study is to determine the perceptions of faculty and undergraduate students concerning industrial visits and define the advantages and disadvantages of these activities. A survey was designed with 17 questions, from a sample of 296 students and 32 professors from various chemistry and sustainability courses. The statistical samples correspond to a population of 2275 students and 246 professors. Descriptive statistics were used to analyze and compare participant perceptions on industrial visits, as LOtC activities. Results indicated a positive perception for making industrial visits, generating more interest in the class material and helping students acquire knowledge. Despite this positive perception, it was found that professors are unlikely to organize industrial visits frequently due to the work required to plan, perform, and evaluate these activities. This issue suggests that approximately 40% of the students may lose the advantages that LOtC activities could offer. Professors must be motivated and supported by administrators to include industrial visits in their courses as a teaching strategy to provide a beneficial experience to the majority of students enrolled in chemistry and sustainability undergraduate programs.
Linking organizational cronyism to deviant workplace behavior: Testing the mediating role of employee negligence in Pakistani higher education institutions

ABSTRACT Organizational cronyism is described as a relationship, companionship, and friendship based favoring. There are a number of examples regarding the existence of organizational cronyism in the workplace. However, there are a few empirical studies on this most observable fact and its consequences specifically in the higher education sector. Therefore, the purpose of this study is to examine the impact of organizational cronyism on deviant workplace behavior in public sector universities of Pakistan. Second, we use employee negligence as a mediating mechanism to explain how the construct of organizational cronyism translates into deviant workplace behavior. Using a time-lagged (three waves) research design, the data were collected from 250 faculty members of public sector universities of Pakistan. Hypothesized relationships were tested using partial least squares structural equation modeling (PLS-SEM) approach, using SmartPls 3.2. 8 software. The results reveal that organizational cronyism increases employee deviant workplace behavior and employee negligence partially mediates the relationship between organizational cronyism and deviant workplace behavior. Managerial and theoretical implications, along with future research directions, are also discussed.
Exploring the elevated water vapor signal associated with the
free-tropospheric biomass burning plume over the southeast
Atlantic Ocean

Abstract. In southern Africa, widespread agricultural fires produce substantial biomass burning (BB) emissions over the region. The seasonal smoke plumes associated with these emissions are then advected westward over the persistent stratocumulus cloud deck in the Southeast Atlantic (SEA) Ocean, resulting in aerosol effects which vary with time and location. Much work has focused on the effects of these aerosol plumes, but previous studies have also described an elevated free-tropospheric water vapor signal over the SEA. Water vapor influences climate in its own right, and it is especially important to consider atmospheric water vapor when quantifying aerosol-cloud interactions and aerosol radiative effects. Here we present airborne observations made during the NASA ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) campaign over the SEA Ocean. In observations collected from multiple independent instruments on the NASA P-3 aircraft (from near-surface to 6–7 km), we observe a strongly linear correlation between pollution indicators (carbon monoxide (CO) and aerosol loading) and atmospheric water vapor content, seen at all altitudes above the boundary layer. The focus of the current study is on the especially strong correlation observed during the ORACLES-2016 deployment (out of Walvis Bay, Namibia), but a similar relationship is also observed in the August 2017 and October 2018 ORACLES deployments. Using ECMWF and MERRA-2 reanalyses and specialized WRF-Chem simulations, we trace the plume-vapor relationship to an initial humid, smoky continental source region, where it is subjected to conditions of strong westward advection, namely the South African Easterly Jet (AEJ-S). Our analysis indicates that airmasses likely left the continent with the same relationship between water vapor and carbon monoxide as was observed by aircraft. This linear relationship developed over the continent due to daytime convection within a deep continental boundary layer (up to 5–6 km) which produced fairly consistent vertical gradients in CO and water vapor, decreasing with altitude and varying in time, but does not originate as a product of the BB combustion itself. Due to a combination of conditions and mixing between the smoky, moist continental boundary layer and the dry and fairly clean upper-troposphere air above (~6 km), the smoky, humid air is transported by strong zonal winds and then advected over the SEA (to the ORACLES flight region) following largely isentropic trajectories. HYSPLIT back trajectories support this interpretation. Better understanding of the conditions and processes which cause the water vapor to covary with plume strength is important to accurately quantify direct, semi-direct, and indirect aerosol effects in this region.
Relationship between sexual desire and premenstrual syndrome in young women in Iraq

Sexual desire could be affected by many psychological and physiological aspects . This research aims to findout the relationship between sexual desire and premenstrual syndrome in young female . A Descriptive designcross-sectional study was carried throughout the present study in order to achieve the study objectives. Theperiod of the study is from 20th September 2019 to 28th April 2020, included 200 young married womenin the reproductive stage, with ages between (17-31) years . Sexual Desire Inventory 3 (SDI-3) has beenused to assess sexual desire after modification to meet the cultural and social considerations . The currentstudy revealed that it explains that the highest percentage of the women subgroup are : women with agesbetween (21-24) years old (50%), those who the age of their husbands (23-26) years old (46.5%), those wholive urban residents (84%), those who they and their husbands work as employee (58.5%), those with barelysufficient monthly income (38.5%), those who are graduated from college or above . The results showedthat there is a significant association (p <0.05) between sexual desire of women and each of : backache,dysmenorrhea and mood instability ; while there is no significant relationship with each of : (backache,breast tenderness, headache, irritability, sadness, aloneness, bloating, vaginal pain, vaginal dryness) . Itis concluded that sexual desire may affected by some symptoms of the premenstrual syndrome . Furtherstudies may be needed to confirms these results .
Deep LSTM for Generating Brand Personalities Using Social Media: A Case Study from Higher Education Institutions

: This paper introduces a novel technique to generate brand personalities for organizations from social media text data using a deep bi - directional Long Short - Term Memory (BiLSTM) neural network model in combination with an accepted brand personality scale model. Brand Personality has evolved into an indispensable element in modern business organizations. Currently brand personality of an organization is generated using traditional techniques such as stakeholder interviews, questionnaires, which are time and resource intensive and limited in efficacy. However, the rise of the internet and social media have provided a platform for stakeholders to frequently and freely express their opinions and experiences related to organizations. Such social media data while now successfully being used for customer analytics have not yet been fully investigated and used to understand brand personalities. Our research investigated how this data can be effectively leveraged by organizations to generate and monitor their brand in near real time. Our technique has been successfully demonstrated on Higher Education Institutes, as Higher Education is an industry that is increasingly being exposed to business competition over the last few decades.
MFFFLD: A Multimodal-Feature-Fusion-Based Fingerprint Liveness Detection

Biometrics spoofing attack (BsSA) frequently occurs when an adversary impersonates a lawful user to access to the biometric system by means of some forged or synthetic samples, especially in fingerprint or face authentication. In allusion to the problem above, the mainstream countermeasure, called biometrics liveness detection (BLD), is raised. In this article, we propose a more robust and accurate BLD strategy by taking advantage of weighted multimodal convolutional neural networks (MCNNs) to extract diverse deep features. Before detection, the ROI operation first is performed to remove those invalid backgrounds of fingerprints. Then, a multimodal feature fusion strategy is proposed to make full use of the learning capacity of convolutional neural networks (CNNs) without human interactions. It is well known that characteristics of the different direct splicing together and for the subsequent classification is unreasonable, thus, a weighted summation strategy is explored. More specifically, we assign each type of feature weight contribution rate, sum them, and then learn the optimal combination of different model features. In the final detection phase, to verify our proposed algorithm with higher accuracy, detailed analyses of the fingerprint evaluations on intradatabase, cross-material, and cross-database, respectively, which also include assessment under the fusion of different modal features, and face evaluations on the same-database, are evaluated. Experimental results on several benchmark data sets LivDet 2011, 2013, 2015, and NUAA demonstrate that our approach achieves outstanding results in fingerprint intradatabase and cross-material evaluations as well as face anti-spoofing evaluations comparing with previous methods. Most importantly, our method is more accurate and robust than other existing fingerprint anti-spoofing methods when evaluating cross-database.