LLukas22/scidocs huggingface dataset:
Assessing staffing needs for a software maintenance project through queuing simulation

We present an approach based on queuing theory and stochastic simulation to help planning, managing, and controlling the project staffing and the resulting service level in distributed multiphase maintenance processes. Data from a Y2K massive maintenance intervention on a large COBOL/JCL financial software system were used to simulate and study different service center configurations for a geographically distributed software maintenance project. In particular, a monolithic configuration corresponding to the customer's point-of-view and more fine-grained configurations, accounting for different process phases as well as for rework, were studied. The queuing theory and stochastic simulation provided a means to assess staffing, evaluate service level, and assess the likelihood to meet the project deadline while executing the project. It turned out to be an effective staffing tool for managers, provided that it is complemented with other project-management tools, in order to prioritize activities, avoid conflicts, and check the availability of resources.
Business model innovation through big data

Research depicts how big data analytics techniques have enabled the new business models which were either hard to shape or impossible to render. Big data platforms hold the promise of improved operational efficiencies and generation of greater revenues with enhanced business growth. Efficiency of big data techniques have been analyzed in the research uses the perspective that it delivers greater understanding of business value and ensures business growth. Value addition ensuring phenomenon has been explained through graphical method for business growth through big data techniques.
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

We formulate language modeling as a matrix factorization problem, and show that the expressiveness of Softmax-based models (including the majority of neural language models) is limited by a Softmax bottleneck. Given that natural language is highly context-dependent, this further implies that in practice Softmax with distributed word embeddings does not have enough capacity to model natural language. We propose a simple and effective method to address this issue, and improve the state-of-the-art perplexities on Penn Treebank and WikiText-2 to 47.69 and 40.68 respectively. The proposed method also excels on the large-scale 1B Word dataset, outperforming the baseline by over 5.6 points in perplexity.1
Childhood anxiety in a diverse primary care population: parent-child reports, ethnicity and SCARED factor structure.

OBJECTIVE
To explore in a multiethnic primary care population the impact of child gender and of race/ethnicity on parent and child reports of school-age anxiety and on the factor structure of the Screen for Childhood Anxiety and Related Emotional Disorders (SCARED).


METHOD
A consecutive sample of 515 children (8 to <13 years) and their parent presenting for primary care completed self-report (C) and parent-report (P) versions of the SCARED-41.


RESULTS
Neither SCARED scores nor parent-child difference varied significantly with race/ethnicity. Predictors of higher SCARED scores were less parental education, younger child age and female gender. Exploratory factor analysis conducted separately for SCARED-C and SCARED-P yielded four factors. There was large variation in factor structure between SCARED-C and SCARED-P and across ethnic and gender subgroups, greatest for somatic/panic/generalized anxiety and Hispanic children.


CONCLUSIONS
Primary care triage of anxious children requires data from both the parent and child and must go beyond cross-sectional symptom inventories. Clinicians must elicit from each family their perhaps culturally bound interpretation of the child's somatic and psychological symptoms.
OXIDATIVE ADDITION REACTIONS OF d8 COMPLEXES. I. CHLORINE OXIDATION OF TETRACHOLOROPALLADATE (II)

Abstract The reaction of Na2PdCl4 with chlorine in aqueous acid solution proceeds in two stages: oxidation of the complex to a Pd(IV) species followed by a slower substitution reaction. The oxidation reaction is first order in complex and first order in chlorine. At high chloride concentration, a six-coordinate palladium(II) intermediate is formed, which is oxidised via an outer-sphere type mechanism. Oxidation of the chloroaquopalladium(II) species present at low chloride concentration occurs via a different mechanism, probably involving coordination of the oxidant in a ‘quasiinner-sphere’ mechanism.
Adaptive Partial Differential Equation Observer for Battery State-of-Charge / State-of-Health Estimation Via an Electrochemical Model

This paper develops an adaptive partial differential equation (PDE) observer for battery state-of-charge (SOC) and state-of-health (SOH) estimation. Real-time state and parameter information enables operation near physical limits without compromising durability, thereby unlocking the full potential of battery energy storage. SOC/SOH estimation is technically challenging because battery dynamics are governed by electrochemical principles, mathematically modeled by PDEs. We cast this problem as a simultaneous state (SOC) and parameter (SOH) estimation design for a linear PDE with a nonlinear output mapping. Several new theoretical ideas are developed, integrated together, and tested. These include a backstepping PDE state estimator, a Pad e-based parameter identifier, nonlinear parameter sensitivity analysis, and adaptive inversion of nonlinear output functions. The key novelty of this design is a combined SOC/SOH battery estimation algorithm that identifies physical system variables, from measurements of voltage and current only. [DOI: 10.1115/1.4024801]
The Fast Fourier Transform

sprightly style and is interesting from cover to cover. The comments, critiques, and summaries that accompany the chapters are very helpful in crystalizing the ideas and answering questions that may arise, particularly to the self-learner. The transparency in the presentation of the material in the book equips the reader to proceed quickly to a wealth of problems included at the end of each chapter. These problems ranging from elementary to research-level are very valuable in that a solid working knowledge of the invariant imbedding techniques is acquired as well as good insight in attacking problems in various applied areas. Furthermore, a useful selection of references is given at the end of each chapter. This book may not appeal to those mathematicians who are interested primarily in the sophistication of mathematical theory, because the authors have deliberately avoided all pseudo-sophistication in attaining transparency of exposition. Precisely for the same reason the majority of the intended readers who are applications-oriented and are eager to use the techniques quickly in their own fields will welcome and appreciate the efforts put into writing this book. From a purely mathematical point of view, some of the invariant imbedding results may be considered to be generalizations of the classical theory of first-order partial differential equations, and a part of the analysis of invariant imbedding is still at a somewhat heuristic stage despite successes in many computational applications. However, those who are concerned with mathematical rigor will find opportunities to explore the foundations of the invariant imbedding method. In conclusion, let me quote the following: "What is the best method to obtain the solution to a problem'? The answer is, any way that works." (Richard P. Feyman, Engineering and Science, March 1965, Vol. XXVIII, no. 6, p. 9.) In this well-written book, Bellman and Wing have indeed accomplished the task of introducing the simplicity of the invariant imbedding method to tackle various problems of interest to engineers, physicists, applied mathematicians, and numerical analysts.
RoboCup: A Challenge Problem for AI and Robotics

Abs t rac t . RoboCup is an attempt to foster AI and intelligent robotics research by providing a standard problem where wide range of technologies can be integrated and exaznined. The first R o b o C u p competition was held at IJCAI-97, Nagoya. In order for a robot team to actually perform a soccer game, various technologies must be incorporated including: design principles of autonomous agents, multi-agent collaboration, strategy acquisition, real-time reasoning, robotics, and sensorfllsion. RoboCup is a task for a team of multiple fast-moving robots under a dynamic environment. Although RoboCup's final target is a world cup with real robots, RoboCup offers a softwaxe platform for research on the software aspects of RoboCup. This paper describes technical chalhmges involw~d in RoboCup, rules, and simulation environment.
SPARSE AND LOW-RANK MATRIX DECOMPOSITION VIA ALTERNATING DIRECTION METHODS

The problem of recovering the sparse and low-rank components of a matrix captures a broad spectrum of applications. Authors in [4] proposed the concept of ”rank-sparsity incoherence” to characterize the fundamental identifiability of the recovery, and derived practical sufficient conditions to ensure the high possibility of recovery. This exact recovery is achieved via solving a convex relaxation problem where the l1 norm and the nuclear norm are utilized for being surrogates of the sparsity and low-rank. Numerically, this convex relaxation problem was reformulated into a semi-definite programming (SDP) problem whose dimension is considerably enlarged, and this SDP reformulation was proposed to be solved by generic interior-point solvers in [4]. This paper focuses on the algorithmic improvement for the sparse and low-rank recovery. In particular, we observe that the convex relaxation problem generated by the approach of [4] is actually well-structured in both the objective function and constraint, and it fits perfectly the applicable range of the classical alternating direction method (ADM). Hence, we propose the ADM approach for accomplishing the sparse and low-rank recovery, by taking full exploitation to the high-level separable structure of the convex relaxation problem. Preliminary numerical results are reported to verify the attractive efficiency of the ADM approach for recovering sparse and low-rank components of matrices.
An integration of the Contribution-Inducement model and economic theory

Abstract According to the Contribution-Inducement model, the organization is viewed as a coalition between a number of participants. This model is made more precise with the aid of economic theory in order to enhance the degree to which it can be tested. With the help of C-I model, defined here, problems and actions within a market economy can be analysed in a more operational way than previously. The model can also provide a new insight into the power relations and conflicts between the various participants. According to this model the management, by virtue of its central, well-informed and professional standing, will be in a position to concentrate on increasing its own freedom of action at the expense of consumers in particular but also of labour. In that case, the owners of the organization will, with the aid of the management, obtain a strikingly large part of the surplus generated by the organization.
Assessment of neuropathic pain in patients with cancer: the interobserver reliability. An observational study in daily practice.

BACKGROUND
Neuropathic pain (NeP) is a burdensome problem in all stages of cancer. Although clinical judgment is accepted as a surrogate for an objective gold standard in diagnosing NeP, no publications were found about its reliability.


OBJECTIVES
Therefore, levels of agreement on the clinical examination of NeP were estimated by calculating kappa-value (K) and percentage of pair wise agreement (PA) to determine the interobserver reliability of diagnosing NeP.


SETTING
The outpatient clinic of medical oncology of the Radboud University Nijmegen Medical Centre.


METHODS
Patients with cancer with potential NeP complaints were recruited from the outpatient clinic of medical oncology. Physicians were recruited from the department of pain and palliative medicine. Physicians and patients were recruited for participation in an observational study in daily practice. Each patient (N = 34) was examined by 2 specialists via independent clinical assessment. All consultations were video recorded.  After each assessment, physicians were asked to indicate the most adequate characterization of the pain: pure NeP, pure nociceptive pain (NoP), mixed pain (MiP), or no pain (NP).


RESULTS
Kappa (K) for the diagnosis of the most adequate pain characterization was 0.50, PA 64.7%. For diagnosing pure NeP k was 0.78 (PA 91.2%), for the NeP component (NeP + MiP)  and NoP component (NoP + MiP), it was respectively 0.52 (PA  76.5%) and 0.61 (PA 82.4%). For the diagnosis on the basis of the grading system between physicians, K was 0.34 (PA 52.9%). The intrarater reliability for the diagnosis of an NeP component on the basis of clinical assessment and the NeP component on the basis of the grading system, for pain specialists K was 0.69 (PA 85.3%) and for palliative care specialists K was 0.61 (PA 79.4%).


LIMITATIONS
The values of K and the PA for the existence of an NeP component are not satisfying and the clinical agreement between physicians around findings from physical examination should encourage a better standardization of the clinical assessment and classification of pain in patients with cancer in respect with the identification of NeP. 


CONCLUSIONS
A substantial level of agreement was found for the diagnosis of pure NeP and a moderate level of agreement for the diagnosis of the NeP component was found, both with a PA = 70%. There was only a fair agreement between the physicians regarding the grading system. However, there was a substantial level of (interrater) agreement for the diagnosis of an NeP component and the outcome of the grading system. The findings in this study also suggest that a better standardization of the clinical assessment and classification of pain in patients with cancer with respect to the identification of neuropathic pain is necessary.
BSR and BHPR guidelines for the management of giant cell arteritis.

Definition of GCA (TA) . Is a chronic vasculitis of large and medium vessels. . Leads to granulomatous inflammation histologically. . Predominantly affects the cranial branches of arteries arising from the arch of the aorta. . Incidence is reported as 2.2/10 000 patient-years in the UK [1] and between 7 and 29/100 000 in population age >50 years in Europe. . Incidence rates appear higher in northern climates.
Reservoir fisheries in India

Following an account of factors influencing the biological productivity of reservoirs in India, details are given of energy transformation through primary production. An ecosystem approach to the management of reservoir fisheries is discussed, considering also socio-economic factors to be taken into account.
TeICC: targeted execution of inter-component communications in Android

Effective analysis of applications (shortly apps) is essential to understanding apps' behavior. Two analysis approaches, i.e., static and dynamic, are widely used; although, both have well known limitations. Static analysis suffers from obfuscation and dynamic code updates. Whereas, it is extremely hard for dynamic analysis to guarantee the execution of all the code paths in an app and thereby, suffers from the code coverage problem. However, from a security point of view, executing all paths in an app might be less interesting than executing certain potentially malicious paths in the app. In this work, we use a hybrid approach that combines static and dynamic analysis in an iterative manner to cover their shortcomings. We use targeted execution of interesting code paths to solve the issues of obfuscation and dynamic code updates. Our targeted execution leverages a slicing-based analysis for the generation of data-dependent slices for arbitrary methods of interest (MOI) and on execution of the extracted slices for capturing their dynamic behavior. Motivated by the fact that malicious apps use Inter Component Communications (ICC) to exchange data [19], our main contribution is the automatic targeted triggering of MOI that use ICC for passing data between components. We implement a proof of concept, TelCC, and report the results of our evaluation.
Similarity-based SIBAR descriptors for classification of chemically diverse hERG blockers

There is an increasing interest in computational models for the classification and prediction of the human ether-a-go-go-related-gene (hERG) potassium channel affinity in the early phase of drug discovery and development. In this study, similarity-based SIBAR descriptors were applied in order to develop and validate in silico binary QSAR and counter-propagation neural network models for the classification of hERG activity. The SIBAR descriptors were calculated based on four reference datasets using four sets of 2D- and 3D-descriptors including 3D-grid-based VolSurf, 3D ‘inductive’ QSAR, Van der Waals surface area (P_VSA) and a set of 11 hERG relevant 2D descriptors devised from feature selection methods. The results indicate that the reference data set tailored to the specific problem, together with a set of hERG relevant descriptors, provides highly predictive models.
A Review on Challenging Issues in Arabic Sentiment Analysis

Corresponding Author: Ali Hamdi Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, Johor, Malaysia Email: ali@alihamdi.com Abstract: Understanding what people think about an idea or how they evaluate a product, a service or a policy is important for individuals, companies and governments. Sentiment analysis is the process of automatically identifying opinions expressed in text on certain subjects. The accuracy of sentiment analysis has a direct effect on decision making in both business and government. Working with the Arabic language is very important because of the growing number of online contents in Arabic and the existing resources are limited and the accuracy of existing methods is low. In this study, we do a survey to highlight Arabic sentiment analysis challenging issues based on two main perspectives: Arabic-specific and general linguistic issues. The Arabic-specific challenges are mainly caused by Arabic morphological complexity, limited resources and dialects, while the general linguistic issues include polarity fuzziness, polarity strength, implicit sentiment, sarcasm, spam, review quality and domain dependence.
41.—The Impact of Artificial Radioactivity on the Oceans and on Oceanography.

The major impact of artificial radioactive material on the oceans has been as a potential pollutant, and, in particular, concern has centred on the public health problems that might arise through human exploitation of marine environments. This public health problem has been an important stimulus to marine pollution methodology. The development and deployment of critical path analysis techniques to the control of this material and to the assessment of its significance for human radiation exposure (Preston 1969; Foster, Ophel and Preston 1971; Slansky 1971) not only exemplifies the control of a chemical pollutant but has served as a stimulus to produce much of the basic physical, chemical and biological data required for its proper implementation. In more recent years the advantages which labelled environments confer for studies of a much wider physical, chemical or biological nature are being increasingly recognised (Natn. Sci. Fdn 1971; Volchok et al. 1971; Lowman, Rice and Richards 1971; Duursma, 1972; Preston, Jefferies and Pentreath 1972,) and many of the tools of nuclear technology, radio-isotopes, reactor propulsion systems, isotope power sources, neutron activation analysis techniques, etc., will enjoy an increasingly important role in oceanography, not only in basic investigations but also in the rational exploitation of marine resources.
Personality Profiles, Values and Empathy: Differences between Lacto-Ovo-Vegetarians and Vegans.

BACKGROUND
Vegetarian nutrition is gaining increasing public attention worldwide. While some studies have examined differences in motivations and personality traits between vegetarians and omnivores, only few studies have considered differences in motivations and personality traits between the 2 largest vegetarian subgroups: lacto-ovo-vegetarians and vegans.


OBJECTIVES
To examine differences between lacto-ovo-vegetarians and vegans in the distribution patterns of motives, values, empathy, and personality profiles.


METHODS
An anonymous online survey was performed in January 2014. Group differences between vegetarians and vegans in their initial motives for the choice of nutritional approaches, health-related quality of life (World Health Organization Quality of Life-BREF (WHOQOL-BREF)), personality traits (Big Five Inventory-SOEP (BFI-S)), values (Portraits Value Questionnaire (PVQ)), and empathy (Empathizing Scale) were analyzed by univariate analyses of covariance; P values were adjusted for multiple testing.


RESULTS
10,184 individuals completed the survey; 4,427 (43.5%) were vegetarians and 4,822 (47.3%) were vegans. Regarding the initial motives for the choice of nutritional approaches, vegans rated food taste, love of animals, and global/humanitarian reasons as more important, and the influence of their social environment as less important than did vegetarians. Compared to vegetarians, vegans had higher values on physical, psychological, and social quality of life on the WHOQOL-BREF, and scored lower on neuroticism and higher on openness on the BFI-S. In the PVQ, vegans scored lower than vegetarians on power/might, achievement, safety, conformity, and tradition and higher on self-determination and universalism. Vegans had higher empathy than vegetarians (all p < 0.001).


DISCUSSION
This survey suggests that vegans have more open and compatible personality traits, are more universalistic, empathic, and ethically oriented, and have a slightly higher quality of life when compared to vegetarians. Given the small absolute size of these differences, further research is needed to evaluate whether these group differences are relevant in everyday life and can be confirmed in other populations.