Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment on the Effective Factors in Burnout Case Study: Healthcare Personnel of Saveh City

This study aimed to determine the burnout and associated factors in Saveh city’s healthcare personnel, workload levels, social support and self-esteem of the staff. In this descriptive-analytical study that was performed by cross sectional method, with using of cluster and random sampling methods, 130 personnel of Saveh city’s healthcare centers completed the research tool which comprised of demographic data form and Maslach burnout inventory (MBI). In the MBI, the frequency of studied units in each aspects of burnout which includes emotional exhaustion, depersonalization and reduction of personal accomplishment were evaluated by Likert scale in the forms of low, medium and high. The data analyses have been carried out through SPSS computer program and proper use of statistical tests (descriptive-analytical). With regard to the aspects of burnout, Results showed that mean score of personal accomplishment was 31/78 from total score of 48, the mean score of employees’ emotional exhaustion was 26/53 from total score of 54 and the mean score of depersonalization was 5/70 from the total score of 30. 43.8% of employees had low personal accomplishment, 47.4% of employees had high emotional exhaustion and 69.2% of employees had low depersonalization. There is a significant statistical correlation between the burnout and variables of gender, work experience, marital status, place of employment and type of job so that the depersonalization in the males, married persons and employees of urban centers were more than that of other employees, and the emotional exhaustion was higher in the women, married persons and the employees of urban centers. The personal accomplishment of employees who worked more than 20 years was higher than that of other employees. The workload values showed significant and inverse correlation with emotional exhaustion and depersonalization. The extent of burnout in employees' emotional exhaustion, depersonalization and the personal accomplishment was medium, low and low respectively. Authorities should pay more attention to the burnout problem due to its effect on the job, family and personal performance and its influence on the absenteeism from work, early retirement, stress reduction and increasing the job satisfaction of employees by improving the workplace conditions in healthcare centers.
Implementing a Loneliness Assessment Tool in an Older Adult Population

Loneliness is a subjective experience characterized by a profound decrease in the amount and the quality of desired social connectedness. Community-dwelling older adults are particularly vulnerable to loneliness because of age-related changes such as the loss of driving privileges, loss of a spouse, living alone, socioeconomic changes caused by retirement, and a lack of access to meaningful social activities. These factors diminish an older adult’s sense of belonging, the quality of their social relationships, and the degree to which they are socially engaged. Loneliness presents a significant threat not only to the psychosocial wellbeing of older adults, but also to their physical health. Loneliness potentiates and worsens morbidities such as hypertension, pain, anxiety, and depression (Smith, 2012). This quality improvement project seeks to educate a registered nurse at a home care agency in the use of the Revised-University of California Los Angeles (R-UCLA) loneliness scale, and the 3-item UCLA loneliness scale to reliably detect loneliness in patients. Home care clients identified as lonely chose a loneliness reducing strategy from a menu of options including therapies such as humor, music, reminiscence, scripture reading, and use of a loneliness telephone support line. Each loneliness strategy was facilitated by the patient’s in-home caregiver. Using a plan-do-study-act (PDSA) cycle, the program was able to affect a decreased experience of loneliness as measured by a decrease in the R-UCLA score after receiving a loneliness strategy. Participants in the quality improvement project included only clients of the home care agency and those at least 65 years and older. Additional consent was not required for the change activity as the quality improvement approach builds on the agency's current quality improvement activities. There was also no significant risk to patients. The project was exclusively funded by the home care agency. The report's findings are not generalizable, and they are limited to use at the specific implementation site.
A Survey on Sparse Subspace Clustering

Sparse subspace clustering (SSC) is a newly developed spectral clustering-based framework for data clustering. High-dimensional data usually lie in a union of several low-dimensional subspaces, which allows sparse representation of high-dimensional data with an appropriate dictionary. Sparse subspace clustering methods pursue a sparse representation of high-dimensional data and use it to build the aﬃnity matrix. The subspace clustering result of the data is ﬁnally obtained by means of spectral clustering. The key to sparse subspace clustering is to design a good representation model which can reveal the real subspace structure of high-dimensional data. More importantly, the obtained representation coeﬃcient and the aﬃnity matrix are more beneﬁcial to accurate subspace clustering. Sparse subspace clustering has been successfully applied to diﬀerent research ﬁelds, including machine learning, computer vision, image processing, system identiﬁcation and others, but there is still a vast space to develop. In this paper, the fundamental models, algorithms and applications of sparse subspace clustering are reviewed in detail. Limitations existing in available methods are analyzed. Problems for further research on sparse subspace clustering are discussed.
P2-03-05: Attenuation of TGF-beta Signaling Suppresses Premature Senescence in a p21-Dependent Manner and Promotes Oncogenic ras-Mediated Metastatic Transformation in hTERT-Immortalized Basal-Like Human Mammary Epithelial Cells.

Triple negative, basal-like breast cancer is highly aggressive and has a poor prognosis. The molecular mechanisms that drive its progression are elusive and no molecular target has been identified for its prevention or treatment. Here, we demonstrate that triple negative human breast cancer cells and clinical samples show an attenuated transforming growth factor-beta (TGF-β) signaling. Therefore, we developed a series of isogenic basal-like human mammary epithelial cells (HMECs) with altered TGF-β sensitivity and different malignancy, resembling a full spectrum of basal-like breast carcinogenesis, and determined the molecular mechanisms that contribute to oncogene-induced transformation of basal-like HMECs when TGF-β signaling is attenuated. We found that expression of a dominant-negative RII (DNRII) receptor of TGF-β abrogated autocrine TGF-β signaling in telomerase-immortalized HMECs and suppressed H-ras-V12-induced senescence-like growth arrest (SLGA). Furthermore, co-expression of DNRII and H-ras-V12 rendered HMECs to become highly tumorigenic and metastatic in vivo in comparison with H-ras-V12-transformed HMECs that spontaneously escaped H-ras-V12-induced SLGA. By using microarray analysis, we found that p21 is the major player mediating Ras-induce SLGA and attenuated or loss of p21 expression contributed to the escape from SLGA when autocrine TGF-β signaling is blocked in HMECs. Furthermore, knockdown of p21 also suppressed H-ras-V12-induced SLGA. Our results identifies that autocrine TGF-β signaling is an integral part of cellular antitransformation network by suppressing the expression of a host of genes including p21-regulated genes that mediate oncogene-induced transformation in basal-like breast cancer. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P2-03-05.
Implicit untangling

We propose a robust method for untangling an arbitrary number of cloth layers, possibly exhibiting deep interpenetrations, to a collision-free state, ready for animation. Our method relies on an intermediate, implicit representation to solve the problem: the user selects a few garments stored in a library together with their implicit approximations, and places them over a mannequin while specifying the desired order between layers. The intersecting implicit surfaces are then combined using a new family of N-ary composition operators, specially designed for untangling layers. Garment meshes are finally projected to the deformed implicit surfaces in linear time, while best preserving triangles and avoiding loss of details. Each of the untangling operators computes the target surface for a given garment in a single step, while accounting for the order between cloth layers and their individual thicknesses. As a group, they guarantee an intersection-free output configuration. Moreover, a weight can be associated with each layer to tune their relative influence during untangling, such as leather being less deformed than cloth. Results for each layer then reflect the combined effect of the other layers, enabling us to output a plausible configuration in contact regions. As our results show, our method can be used to generate plausible, new static shapes of garments when underwear has been added, as well as collision-free configurations enabling a user to safely launch animations of arbitrarily complex layered clothing.
Synchronization of oscillators: Feasability and Non-local analysis

where aij = aji ≥ 0 are symmetric and non-negative coupling weights. The oscillator interactions are represented by an undirected, connected, and weighted graph G({1, . . . , n}, E,A) induced by the matrix with elements aij . A particular instance of model (1) is the well known Kuramoto model [9] in which the graph is complete and the coupling is uniform: aij = K/n for all i, j and some K > 0. We emphasize that we are interested in heterogeneous natural frequencies since otherwise (1) reduces to a mere gradient flow.
Short-Term Repositioning for Empty Vehicles on Ride-Sourcing Platforms

Motivation Ride sourcing companies, such as Uber, Lyft, and Didi, have been able to leverage on internet-based platforms to connect passengers and drivers. These platforms facilitate passengers and drivers’ mobility data on smartphones in real time, which enables a convenient matching between demand and supply. The imbalance of demand (i.e., passenger requests) and supply (i.e., drivers) on the platforms causes many unserved passenger requests and empty vehicles with idle drivers to exist at the same time, which poses a challenging problem for the platform. To address these challenges, some platforms display heat maps of surge-pricing multipliers or real-time demand to drivers, and anticipate that such information will induce more idle drivers to self-reposition by cruising to regions with high demand and/or low supply. Some platforms attempt to provide direct repositoning guidance to drivers, by suggesting that drivers cruise to a speciﬁc region. In practical terms, drivers are more likely to follow guidance that directs them to a region close to their current location. Therefore, in reality, platforms divide the entire service area into many hexagonal regions, and usually provide repositioning guidance for a driver to relocate from his/her current hexagonal region to an adjacent region. Such repositioning suggestions are normally provided regularly to idle drivers at short intervals (e.g., every 5 minutes). Great eﬀort has been devoted to solving the repositioning problem; see Wallar et al. (2018); Yu et al. (2019); and Braverman et al. (2019). In this paper, we focus on short-term repositioning policy for empty vehicles with idle drivers on ride-sourcing platforms. We optimize repositioning guidance that directs drivers to relocate to adjacent regions for a short period. Compared with previous work, we make the following contributions:
COMPUTATION OF ELECTROMAGNETIC MODES IN THE TRANSVERSE DEFLECTING CAVITY

The new generation X-ray Free Electron Laser (SwissFEL) under development at the Paul Scherrer Institut (PSI) will employ a transverse deflecting cavity [3] for beam diagnostics. Since this cavity design breaks the symmetry, a complete 3-dimensional eigenmodal analysis is indispensable. The 3-dimensional eigenmodal solver Femaxx has been developed in a collaboration between PSI and the Swiss Federal Institute of Technology (ETH) Zurich. Femaxx [2] aims at large-size generalized eigenvalue problems, therefore it has been optimized for distributed memory parallel compute clusters. We use Femaxx to analyze the transverse deflecting cavity, i.e., to compute electromagnetic eigenmodes corresponding to the lower eigenfrequencies. For further usage in the beam dynamics code OPAL [1], we sample the eigenmodal fields on a 3dimensional Cartesian grid. DESCRIPTION OF THE PROBLEM The Femaxx code solves the Vector Wave Equation: Let Ω be a closed domain describing a large accelerator structure. Neither do we assume that external fields, sources or charges are present, nor do we consider loss mechanisms. The perfect boundary condition applies on the surface Γ of the domain. Then the electromagnetic eigenmodes and eigenfrequencies can be computed by solving the eigenvalue problem. curl curl E(x) = λE(x), x ∈ Ω, λ = ω/c, (1) divE(x) = 0, x ∈ Ω (2) n ×E(x) = 0, x ∈ Γ (3) (2) imposes the divergence-free constraint in the sourcefree domain, and (3) is the infinite conductivity boundary condition on the surface. The magnetic field H is then calculated by the relation. H(x) = 1 −iωμ0 curlE(x) (4)
Cytological investigations in diploid potato (Solanum spp.)

A BSTRACT: Meiotic behaviour of plant chromosomes is influenced by both genetic and environmental factors. The present paper shows the affect of abnormal meiosis on pollen fertility. Meiotic restitution is considered to be a common mechanism of polyploidization in plants and hence is one of the most important processes in plant speciation. Pollen mother cells (PMCs) of diploid potato from anthers at different stages of meiotic process were analyzed for their chromosomal behaviour and irregularities. Pollen morphology was also studied through SEM as it is significantly helpful at the generic and specific level. Various meiotic irregularities were observed: univalent and multivalent formation, chromosome bridges, fragments, lagging chromosomes etc. B-chromosome was first time reported in wild diploid potato, though the frequency of the same was less. Specie was identified as Solanum chacoense.
The influence of stochasticity, landscape structure and species traits on abundant–centre relationships

Species have been commonly hypothesized to have high population densities in geographic areas which correspond to either the centre of the species geographic range or climatic niche (abundant–centre hypothesis). However, there is mixed empirical support for this relationship, and little theoretical underpinning. We simulate a species spreading across a set of replicated artificial landscapes to examine the expected level of support for abundant–centre relationships in geographic and niche space. Species niche constraints were modeled as a single axis which was related directly to population growth rates. We found strong evidence for abundant–centre relationships when populations follow deterministic growth, dispersal is high, environmental noise is absent and intraspecific competition is low. However, the incorporation of ecological realism reduced the detectability of abundant–centre relationships considerably. Our results suggest that even in carefully constructed artificial landscapes designed to demonstrate abundant–centre dynamics, the incorporation of small amounts of demographic stochasticity, environmental heterogeneity or landscape structure can strongly influence the relationship between species population density and distance to species geographic range or niche centre. While some simulated relationships were of comparable strength to common empirical support for abundant–centre relationships, our results suggest that these relationships are expected to be fairly variable and weak.
Pollinator Foraging, Experimental Nectar-robbing and Plant Fitness in Impatiens capensis

Bombus vagans workers were observed collecting nectar from two populations of Impatiens capensis. Approximately one half of the flowers in one population had their standing crops of nectar removed in a manner simulating nectar-robbing by bumblebees. The other population served as a control. Bombus vagans employed arearestricted searching behavior in both populations. The increased frequency of longdistance bee flights associated with the abundant low-quality reward blossoms in the nectar-robbed patch served to increase neighborhood size relative to the control area. Pollen was transported greater distances because of nectar thievery, thus making it more likely that the main purpose (i. e., genetic variability via outbreeding) of the chasmogamous flowers of I. capensis was achieved. Because seed set was statistically indistinguishable for robbed and unrobbed blossoms, nectar-robbing may thus actually enhance female fitness in L capensis.
SEMANTIC DESCRIPTORS OF THE REFLEXIVE FORMS OF VERB STRUCTURES IN CONTEMPORARY BULGARIAN, FRENCH AND HUNGARIAN ABSTRACT OF PhD THESIS

B U L G A R I A N A C A D E M Y OF S C I E N C E S INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIES Milena Nikolova Slavcheva SEMANTIC DESCRIPTORS OF THE REFLEXIVE FORMS OF VERB STRUCTURES IN CONTEMPORARY BULGARIAN, FRENCH AND HUNGARIAN ABSTRACT OF PhD THESISOF PhD THESIS Supervisor: Assoc. Prof. Georgi Gargov Approved by Supervising Committee: Prof. Ivan Kasabov Prof. Galia Angelova Assoc. Prof. Kiril Simov Assoc. Prof. Maria Stambolieva Assoc. Prof. Elena Paskaleva The PhD thesis was discussed and allowed to be defended during an extended session of the Department of Linguistic Modelling at IICT-BAS, which had been held on May 10, 2011. The defense of the PhD thesis had been held on October 25, 2011 at 11:00 am in Room 218, Block 25A, IICT-BAS. The full volume of the dissertation is 210 pages. It consists of an introduction and five chapters (p. 1-161). It includes also an application (p. 176-210). The list of references contains 145 titles (p. 162-175). The text of the dissertation includes 37 tables and 84 figures. These lists are given at the beginning of the dissertation.
The genus Canidia Thomson, 1857 (Coleoptera: Cerambycidae, Lamiinae, Acanthocinini)

The lamiine genus Canidia Thomson is redefined with Canidiopsis Dillon and Pseudocanidia Dillon as new synonyms. Three new species from Mexico are described and illustrated: Canidia chemsaki, C. giesberti, and C. turnbowi. The following new synonymies are proposed: Canidiopsis similis Dillon, 1955 and Canidiopsis hebes Dillon, 1955 = Canidia mexicana Thomson, 1860; Pseudocanidia cuernavacae Dillon, 1955 = Dectes spinicornis Bates, 1881; and Dectes (Canidia) balteata var. inapicalis Tippmann, 1960 = Dectes balteatus Lacordaire, 1872. A key to the eight species and one subspecies is presented.
Feedback stabilization control design for a class of nonlinear fractional order triangular systems

This paper investigates the design of feedback controls for a class of nonlinear homogeneous and inhomogeneous fractional order triangular systems with high power right-hand functions. By using the fractional Lyapunov method and the recursive method, we derive both state and output feedback controllers to stabilize the systems that we study. Finally, two numerical example are provided to illustrate the effectiveness of our results.
Optimal experimental hyperspectral image acquisition conditions of biomedical structures

In recent decades there has been a great interest in using hyperspectral imaging (HSI) for biomedical applications. HSI provides a three dimensional dataset from which one can obtain both the spatial and spectral information of biological samples being imaged. From the acquired hyperspectral images, it is possible to extract diagnostic information about tissue constituents and morphology. This paper focuses on determining the experimental conditions for an optimal hyperspectral acquisition of biological samples.
Optimized Intermittent Pharmaceutical Treatment of Cancer Using Non-Linear Optimal Control Techniques

Cancer remains one of the most important diseases and causes of death. In this study, a non-linear mathematical model of tumor growth with immune response, under the effects of chemotherapeutic treatment is studied. Two cost-efficient optimal control approaches are presented based on direct collocation and state dependent Riccati equation methods in order to optimize the pharmaceutical treatment-dosage to the patients. Finally, the numerical results from each method are presented, providing an overall better regimen, when compared to similar previous studies, by successfully eradicating the tumor and minimizing the side-effects of chemotherapy
Supplementary material for enriched mixtures of generalised Gaussian process experts

P(y = l|x, θj) = P(ỹl > max(ỹ1, . . . , ỹl−1, ỹl+1, . . . , ỹL, 0)), for l = 1, . , L, where ỹ takes values in R and has a multivariate Gaussian distribution with mean mj(x) = (mj,1(x), . ,mj,L(x)) T and covariance matrix Σj , which may be the identity matrix, or treated as a more general scale parameter (in this case, care should be taken to avoid identifiability issues). The prior on the vector-valued unknown function mj(x) can be extended to independent GPs across l = 1, . , L or, more generally, a matrix-variate GP.
Supplementary Material for “What is Learned in Deep Uncalibrated Photometric Stereo?”

1. we show more feature visualizations of LCNet [2] in the supplementary video, 2. we provide more discussions regarding the proposed cascade structure, 3. we present detailed results of GCNet on the synthetic dataset rendered with 100 MERL BRDFs [6], and 4. we compare our GCNet with previous state-of-the-art uncalibrated methods on 5 real datasets, including DiLiGenT benchmark [8], DiLiGenT test dataset [8], Light Stage Data Gallery [4], Harvard photometric stereo dataset [10]