Miracle-dz/UniFAR-FTUs huggingface dataset:
Indicators of Organizational Resilience in Critical Sociotechnical Systems: A Qualitative Study for the Refinery Complex

Background: Resilience engineering is a new approach for safety management. The purpose of this paper was to determine indicators constructing organizational resilience as an important part of overall resilience. Methods: This was a qualitative study. The data collection method was semi-structured interviews as well as the discussion group method. The data were analyzed with conventional qualitative content analysis. Results: Overall,232primarycodeswereclassiﬁedin81sub-indicatorsand11indicators. Elevenindicatorswereasfollows: management commitment, performance management system, ﬂow of information/communication, involvement culture, error management system, education, preparedness, ﬂexibility, innovation culture, change management, and human resource management. Conclusions: Reﬁneries and other ﬁrms are recommended to evaluate the situation of any identiﬁed indicators, therefore, they can promote the level of resilience by improving any indicator.
Workplace Bullying in a Sample of Italian and Spanish Employees and Its Relationship with Job Satisfaction, and Psychological Well-Being

Purpose – The purpose of this study is to examine the prevalence rate of workplace bullying in a sample of Italian and Spanish employees, and its differential consequences on employees’ job satisfaction and psychological well-being. The effects of workplace bullying on job satisfaction and psychological well-being were explored taking into account a contextualized approach. Design/Methodology/approach – Cross-sectional study was adopted, in which a sample of 1,151 employees in Italy and 705 in Spain completed a questionnaire. We hypothesized that the relationship between exposure to bullying behaviors and psychological well-being is mediated by job satisfaction, and that this simple mediation model is moderated by the country (moderated mediation). Findings – Results suggest that no particular differences exist in bullying prevalence among Spanish and Italian employees. However, we found scientific confirmation of our hypothesized moderated mediation model. Research limitations/implications – Despite the limitations of the sample studied, findings capture contextual differences in the bullying phenomenon, which may have several implications for further research in this domain, as well as for designing interventions to deal with workplace bullying. Originality/value – Although this study explores bullying in different cultural contexts without investigating specific cultural values, it establishes the roots to assess workplace bullying from a contextualized perspective.
Standard deviations of degree differences as indicators of mixing patterns in complex networks

Mixing patterns in social networks can give us important clues about the structure and functionality of these networks. In the past, a number of measures including variants of assortativity have been used to quantify degree mixing patterns of networks. In this paper, we are interested in observing the heterogeneity of the neighbourhood of nodes in networks. For this purpose, we use the standard deviation of degree differences between a node and its neighbours. We call this measure the `versatility' of a node. We apply this measure on synthetic and real world networks. We find that among real world networks three classes emerge -(i) Networks where the versatility converges to non-zero values with node degree (ii) Networks where the versatility converges to zero with node degree (iii) Networks where versatility does not converge with node degree. We find that there may be some correlation between this and network density, and the geographical / anatomical nature of networks may also be a factor. We also note that versatility could be applicable to any quantifiable network property, and not just node degree.
Image Segmentation Based on GrabCut Framework Integrating Multiscale Nonlinear Structure Tensor

In this paper, we propose an interactive color natural image segmentation method. The method integrates color feature with multiscale nonlinear structure tensor texture (MSNST) feature and then uses GrabCut method to obtain the segmentations. The MSNST feature is used to describe the texture feature of an image and integrated into GrabCut framework to overcome the problem of the scale difference of textured images. In addition, we extend the Gaussian Mixture Model (GMM) to MSNST feature and GMM based on MSNST is constructed to describe the energy function so that the texture feature can be suitably integrated into GrabCut framework and fused with the color feature to achieve the more superior image segmentation performance than the original GrabCut method. For easier implementation and more efficient computation, the symmetric KL divergence is chosen to produce the estimates of the tensor statistics instead of the Riemannian structure of the space of tensor. The Conjugate norm was employed using Locality Preserving Projections (LPP) technique as the distance measure in the color space for more discriminating power. An adaptive fusing strategy is presented to effectively adjust the mixing factor so that the color and MSNST texture features are efficiently integrated to achieve more robust segmentation performance. Last, an iteration convergence criterion is proposed to reduce the time of the iteration of GrabCut algorithm dramatically with satisfied segmentation accuracy. Experiments using synthesis texture images and real natural scene images demonstrate the superior performance of our proposed method.
Genome-Wide Association Scan Identifies Candidate Polymorphisms Associated with Differential Response to Anti-TNF Treatment in Rheumatoid Arthritis

The prediction of response (or non-response) to anti-TNF treatment for rheumatoid arthritis (RA) is a pressing clinical problem. We conducted a genome-wide association study using the Illumina HapMap300 SNP chip on 89 RA patients prospectively followed after beginning anti-TNF therapy as part of Autoimmune Biomarkers Collaborative Network (ABCoN [Autoimmune Bio-markers Collaborative Network]) patient cohort. Response to therapy was determined by the change in Disease Activity Score (DAS28) observed after 14 wks. We used a two-part analysis that treated the change in DAS28 as a continuous trait and then incorporated it into a dichotomous trait of “good responder” and “nonresponder” by European League Against Rheumatism (EULAR) criteria.We corrected for multiple tests by permutation, and adjusted for potential population stratification using EIGENSTRAT. Multiple single nucleotide polymorphism (SNP) markers showed significant associations near or within loci including: the v-maf musculoaponeurotic fibrosarcoma oncogene homolog B (MAFB) gene on chromosome 20; the type I interferon gene IFNk on chromosome 9; and in a locus on chromosome 7 that includes the paraoxonase I (PON1) gene. An SNP in the IL10 promoter (rs1800896) that was previously reported as associated with anti-TNF response was weakly associated with response in this cohort. Replications of these results in independent and larger data sets clearly are required. We provide a reference list of candidate SNPs (P < 0.01) that can be investigated in future pharmacogenomic studies.
On Construction of Holistic Synopses under the Duplicate Semantics of Streaming Queries

Transaction-time temporal databases and query languages provide a solid framework for analyzing properties of queries over data streams. In this paper we focus on issues connected with the construction of space-bounded synopses that enable answering of continuous queries over unbounded data streams while requiring only limited space. We link the problem to the problem of query-driven data expiration in append-only temporal databases and study space bounds on synopses that are sufficient and necessary for query answering under duplicate semantics.
Community detection in social networks with genetic algorithms

A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense intra-connections, and sparse inter-connections. The variation operators employed are suitably adapted to take into account the actual links among the nodes. These modified operators makes the method efficient because the space of possible solutions is sensibly reduced. Experiments on a real life network show the capability of the method to successfully identify the network structure.
Structure–function analysis of the Bacillus megaterium GerUD spore germinant receptor protein

Germination of Bacillus spores is triggered by the interaction of germinant molecules with specialized receptor proteins localized to the spore inner membrane. Germinant receptors (GRs) are comprised typically of three interacting protein subunits, each of which is essential for receptor function. At least some GRs appear to have a fourth component, referred to as a D-subunit protein. A number of D-subunit proteins were shown previously to be capable of modulating the activity of associated GRs. Here, we investigate the topology and structure–function relationships of the Bacillus megaterium QM B1551 GerUD protein, which is associated with the GerU GR. The presented data demonstrate that GerUD can be subjected to relatively extensive structural modifications while retaining function. Indeed, the presence of either of the two transmembrane spanning domains is sufficient to modulate an efficient GerU-mediated germinative response. The precise function of D-subunit proteins has yet to be established, although they may act as molecular chaperones within the spore inner-membrane environment.
A Multiscale Model for Virus Capsid Dynamics

Viruses are infectious agents that can cause epidemics and pandemics. The understanding of virus formation, evolution, stability, and interaction with host cells is of great importance to the scientific community and public health. Typically, a virus complex in association with its aquatic environment poses a fabulous challenge to theoretical description and prediction. In this work, we propose a differential geometry-based multiscale paradigm to model complex biomolecule systems. In our approach, the differential geometry theory of surfaces and geometric measure theory are employed as a natural means to couple the macroscopic continuum domain of the fluid mechanical description of the aquatic environment from the microscopic discrete domain of the atomistic description of the biomolecule. A multiscale action functional is constructed as a unified framework to derive the governing equations for the dynamics of different scales. We show that the classical Navier-Stokes equation for the fluid dynamics and Newton's equation for the molecular dynamics can be derived from the least action principle. These equations are coupled through the continuum-discrete interface whose dynamics is governed by potential driven geometric flows.
Exposure to Polyfluoroalkyl Chemicals and Attention Deficit/Hyperactivity Disorder in U.S. Children 12–15 Years of Age

Background Polyfluoroalkyl chemicals (PFCs) have been widely used in consumer products. Exposures in the United States and in world populations are widespread. PFC exposures have been linked to various health impacts, and data in animals suggest that PFCs may be potential developmental neurotoxicants. Objectives We evaluated the associations between exposures to four PFCs and parental report of diagnosis of attention deficit/hyperactivity disorder (ADHD). Methods Data were obtained from the National Health and Nutrition Examination Survey (NHANES) 1999–2000 and 2003–2004 for children 12–15 years of age. Parental report of a previous diagnosis by a doctor or health care professional of ADHD in the child was the primary outcome measure. Perfluorooctane sulfonic acid (PFOS), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), and perfluorohexane sulfonic acid (PFHxS) levels were measured in serum samples from each child. Results Parents reported that 48 of 571 children included in the analysis had been diagnosed with ADHD. The adjusted odds ratio (OR) for parentally reported ADHD in association with a 1-μg/L increase in serum PFOS (modeled as a continuous predictor) was 1.03 [95% confidence interval (CI), 1.01–1.05]. Adjusted ORs for 1-μg/L increases in PFOA and PFHxS were also statistically significant (PFOA: OR = 1.12; 95% CI, 1.01–1.23; PFHxS: OR = 1.06; 95% CI, 1.02–1.11), and we observed a nonsignificant positive association with PFNA (OR = 1.32; 95% CI, 0.86–2.02). Conclusions Our results, using cross-sectional data, are consistent with increased odds of ADHD in children with higher serum PFC levels. Given the extremely prevalent exposure to PFCs, follow-up of these data with cohort studies is needed.
A quantitative investigation of the uncertainty associated with mapping scale in the production of land-cover/land-use data

ABSTRACT Mapping scale is an essential issue in land use and land cover (LULC) data production, which always involves the minimum mapping unit (MMU) that stipulated in the product specification. Since the application of MMUs will inevitably cause some inappropriate classification problems, a technique is needed to evaluate the impact on the data outputs. In this study, a novel method is proposed to investigate the classification uncertainty brought by MMUs on LULC data. The omission errors are predicted based on an assumption of the skewed frequency distribution of the LULC patch size, and the commission errors are subsequently computed through the conversion possibilities among different land classes, which can be deduced from the generalization rule. A test is conducted on real data to verify the underlying assumption on the patch size distribution, and the accuracy of the prediction of omission errors is evaluated through a simulation experiment. A case study is also presented to demonstrate the efficiency and feasibility of the proposed method. At the end of this article, the advantages and notes of this method are discussed for further study and application.
Harmonic and inter-harmonic measurement using discrete wavelet packet transform with linear optimization

Growing interest in power quality has led the international working groups to define new measurement techniques to apply to power systems. Special attention has been paid to harmonic and inter-harmonic measurements. This paper presents a new method to optimize harmonic estimation in power systems. The method uses filter bank property of discrete wavelet packet transform to measure the harmonics; and this is compatible with IEC standards. The method has the advantages of low spectral leakage, sub-harmonic and inter-harmonic recognition, and benefits in occasions of inappropriate length of a sampling window. The new algorithm decomposes the voltage and current signals into exclusive frequency bands corresponding to harmonics, and uses an inverse matrix optimization method to reduce the spectral leakage due to imperfect frequency response of the applied wavelet filter bank. As a case study, the method is implemented on arbitrary signals and the results are compared with the previous methods. The simulation results confirm the higher accuracy of the new algorithm.
Maximizing automatic reverse power operations with LTC transformers and regulators

Advanced LTC (load tap changer) transformer & regulator controls automatically detect a power flow reversal and allow several operation options when power reversal is detected. Errors can occur in detecting power direction or in the control action selected for the condition. Such errors can result in damaging system voltages by running the tap position to its limits or by requiring impossible actions from other system components. This paper discusses these system operating conditions, methods of control direction detection, methods of determining source-side voltage, selectable operational control features and the consequences of improper choices with different system configurations/conditions
Head Finalization Reordering for Chinese-to-Japanese Machine Translation

In Statistical Machine Translation, reordering rules have proved useful in extracting bilingual phrases and in decoding during translation between languages that are structurally different. Linguistically motivated rules have been incorporated into Chinese-to-English (Wang et al., 2007) and English-to-Japanese (Isozaki et al., 2010b) translation with significant gains to the statistical translation system. Here, we carry out a linguistic analysis of the Chinese-to-Japanese translation problem and propose one of the first reordering rules for this language pair. Experimental results show substantially improvements (from 20.70 to 23.17 BLEU) when head-finalization rules based on HPSG parses are used, and further gains (to 24.14 BLEU) were obtained using more refined rules.
Store overload‐induced Ca2+ release as a triggering mechanism for CPVT and MH episodes caused by mutations in RYR and CASQ genes

Catecholaminergic polymorphic ventricular tachycardia (CPVT) is an arrhythmogenic cardiac disorder caused, in part, by dominant mutations in RYR2, the cardiac ryanodine receptor (RyR2) gene (Liu et al. 2009). The disorder manifests as syncopal events and sudden cardiac death, usually in response to intensive exercise; elevated catecholamines induce arrhythmogenic episodes that respond to β-blockers. In other CPVT families arrhythmia is caused by recessive mutations in CASQ2 that cause truncation and/or misfolding of cardiac calsequestrin (CASQ2). In a mouse model, casq2-null or partially null mice also exhibit arrhythmias (Knollmann et al. 2006; Chopra et al. 2007; Knollmann, 2009, this symposium). Malignant hyperthermia (MH) is an acute response to volatile anaesthetics, such as halothane, and depolarizing muscle relaxants, characterized by hypermetabolism, skeletal muscle contracture and fever (Loke & MacLennan, 1998) and caused, in part, by dominant mutations in RYR1. MH episodes can be reversed by dantrolene, an RyR1 Ca2+ release channel blocker. RyR1 MH mutant channels are activated by low levels of caffeine or halothane (Tong et al. 1999). As a corollary of CPVT, ablation of casq1 causes MH (Dainese et al. 2009; Protasi et al. 2009, this symposium). CASQ1 mutations have not yet been reported to cause human MH. Characteristics of RyR2 mutants in CPVT
Characteristic pathological findings and effects of ecabet sodium in rat reflux esophagitis.

AIM To explore the pathological findings in the entire esophagus in rats with reflux esophagitis, and the effects of ecabet sodium (ES). METHODS A rat model of chronic acid reflux esophagitis was used. In the treatment group, ES was administered after surgery (n = 16). No drug was administered postoperatively to the esophagitis group (n = 9). Sham-operated rats were used as a control group (n = 5). Rats were sacrificed on day 7 after the operation. The epithelial thickness and leukocyte infiltration were examined in the upper, middle and lower areas of the esophagus. The survival rate, incidence of esophageal ulcer, and mean surface area and number of esophageal ulcers were determined in the esophagitis and ES groups. Esophageal histology was assessed in all three groups. RESULTS Leukocyte infiltration in the esophagitis group was 26.3 +/- 22.0 in the middle esophagus and 8.2 +/- 4.9 in the upper esophagus, which was significantly greater than that in the controls (1.3 +/- 1.1 and 1.4 +/- 1.0, respectively) (P < 0.05). The thickness of the epithelium in the esophagitis group was 210.8 +/- 47.7 microm in the lower esophagus and 204.2 +/- 60.1 microm in the middle esophagus, which was significantly greater than that in the controls (26.0 +/- 5.5 and 21.0 +/- 6.5 microm, respectively) (P < 0.05). The mean number of ulcers per animal in the ES group in the entire esophagus was 5.4 +/- 2.5, which was significantly less than that in the esophagitis group (9.0 +/- 3.5) (P < 0.05). The epithelial thickness in the ES group was 97.5 +/- 32.2 microm in the lower esophagus, which was decreased compared with that in the esophagitis group (210.8 +/- 47.7 microm) (P < 0.05). CONCLUSION Mucosal inflammation extended to the upper esophagus close to the hypopharynx. Our study suggested that ES may have a useful defensive role in reflux esophagitis.
Intramedullary Spinal Cord Tumors : A Review and Discussion of Surgical Rationale

1Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL, USA 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA 3Section of Neurosurgery, University of Chicago, Chicago IL, USA 4Department of Neurosurgery, Brown University, Providence RI, USA; 5Department of Neurosurgery, Massachusetts General Hospital, Boston MA, USA 6Department of Neurosurgery, Mayo Clinic, Rochester MN, USA
Deep learning on curriculum study pattern by selective cross join in advising students' study path

Advising engineering students in their study path need to understand the curriculum structure, student capabilities and challenge that commonly appear in courses. This paper offered the simple method to help student advisor in analyzing student performance in their study path based on academic progress record of the student it-self and pattern that been built from other students that have taken the courses. Using selective cross join for each possible permutation of pair courses with respect to courses' grade to create knowledge base. This knowledge base will be used to construct complex tree of any possible study path that might be taken by student to reach the end of study including course that must be retaken. Finding the best suggestion for study path using Monte Carlo tree search style
Rate of passage of digesta in sheep

1. Three groups of sheep receiving 400, 800 and 1200 g lucerne chaff/d in equal hourly meals were killed. The large intestines were removed and divided into segments 15 cm long to provide information on the amounts and dry-matter contents of digesta and on the rates of passage of digesta and absorption of water along the large intestine. 2. With increasing intakes of food, increases were observed along the entire large intestine in the amounts of wet digesta present, in the transit rates of digesta and in the rates of absorption of water. The mean retention time of digesta in the large intestine decreased with increasing food intake, being 1737, 1056 and 692 min respectively. 3. Four patterns of sodium and potassium concentrations in digesta water along the large intestine were found.