Miracle-dz/UniFAR-FTUs huggingface dataset:
Conflicting views on ITIL implementation: managed as a project-or business as usual?

[Abstract]: Many organizations are implementing ITIL to improve their IT service management. Although the ITIL guidelines are considered crucial to the implementation process, it appears there is no standard implementation approach taken by organizations. This research reports on two case studies of successful ITIL implementations to derive a roadmap for implementation and a set of critical success factors.
The influence of root surface distance to alveolar bone and periodontal ligament on periodontal wound healing

Purpose The purpose of this animal study was to perform a 3-dimensional micro-computed tomography (micro-CT) analysis in order to investigate the influence of root surface distance to the alveolar bone and the periodontal ligament on periodontal wound healing after a guided tissue regeneration (GTR) procedure. Methods Three adult Sus scrofa domesticus specimens were used. The study sample included 6 teeth, corresponding to 2 third mandibular incisors from each animal. After coronectomy, a circumferential bone defect was created in each tooth by means of calibrated piezoelectric inserts. The experimental defects had depths of 3 mm, 5 mm, 7 mm, 9 mm, and 11 mm, with a constant width of 2 mm. One tooth with no defect was used as a control. The defects were covered with a bioresorbable membrane and protected with a flap. After 6 months, the animals were euthanised and tissue blocks were harvested and preserved for micro-CT analysis. Results New alveolar bone was consistently present in all experimental defects. Signs of root resorption were observed in all samples, with the extent of resorption directly correlated to the vertical extent of the defect; the medial third of the root was the most commonly affected area. Signs of ankylosis were recorded in the defects that were 3 mm and 7 mm in depth. Density and other indicators of bone quality decreased with increasing defect depth. Conclusions After a GTR procedure, the periodontal ligament and the alveolar bone appeared to compete in periodontal wound healing. Moreover, the observed decrease in bone quality indicators suggests that intrabony defects beyond a critical size cannot be regenerated. This finding may be relevant for the clinical application of periodontal regeneration, since it implies that GTR has a dimensional limit.
Sparrow: Scalable Scheduling for Sub-Second Parallel Jobs

Large-scale data analytics frameworks are shifting towards shorter task durations and larger degrees of parallelism to provide low latency. However, scheduling highly parallel jobs that complete in hundreds of milliseconds poses a major challenge for cluster schedulers, which will need to place millions of tasks per second on appropriate nodes while offering millisecond-level latency and high availability. We demonstrate that a decentralized, randomized sampling approach provides nearoptimal performance while avoiding the throughput and availability limitations of a centralized design. We implement and deploy our scheduler, Sparrow, on a real cluster and demonstrate that Sparrow performs within 14% of an ideal scheduler.
Functional and Integrative Analysis of the Proteomic Profile of Radish Root under Pb Exposure

Lead (Pb) is one of the most abundant heavy metal (HM) pollutants, which can penetrate the plant through the root and then enter the food chain causing potential health risks for human beings. Radish is an important root vegetable crop worldwide. To investigate the mechanism underlying plant response to Pb stress in radish, the protein profile changes of radish roots respectively upon Pb(NO3)2 at 500 mg L−1(Pb500) and 1000 mg L−1(Pb1000), were comprehensively analyzed using iTRAQ (Isobaric Tag for Relative and Absolute Quantification). A total of 3898 protein species were successfully detected and 2141 were quantified. Among them, a subset of 721 protein species were differentially accumulated upon at least one Pb treatment, and 135 ones showed significantly abundance changes under both two Pb-stressed conditions. Many critical protein species related to protein translation, processing, and degradation, reactive oxygen species (ROS) scavenging, photosynthesis, and respiration and carbon metabolism were successfully identified. Gene Ontology (GO) and pathway enrichment analysis of the 135 differential abundance protein species (DAPS) revealed that the overrepresented GO terms included “cell wall,” “apoplast,” “response to metal ion,” “vacuole,” and “peroxidase activity,” and the critical enriched pathways were involved in “citric acid (TCA) cycle and respiratory electron transport,” “pyruvate metabolism,” “phenylalanine metabolism,” “phenylpropanoid biosynthesis,” and “carbon metabolism. ” Furthermore, the integrative analysis of transcriptomic, miRNA, degradome, metabolomics and proteomic data provided a strengthened understanding of radish response to Pb stress at multiple levels. Under Pb stress, many key enzymes (i.e., ATP citrate lyase, Isocitrate dehydrogenase, fumarate hydratase and malate dehydrogenase) involved in the glycolysis and TCA cycle were severely affected, which ultimately cause alteration of some metabolites including glucose, citrate and malate. Meanwhile, a series of other defense responses including ascorbate (ASA)–glutathione (GSH) cycle for ROS scavenging and Pb-defense protein species (glutaredoxin, aldose 1-epimerase malate dehydrogenase and thioredoxin), were triggered to cope with Pb-induced injuries. These results would be helpful for further dissecting molecular mechanism underlying plant response to HM stresses, and facilitate effective management of HM contamination in vegetable crops by genetic manipulation.
An Indoor Location-Tracking Using Wireless Sensor Networks Cooperated with Relative Distance Finger Printing

In this paper, a method of moving path control of an automatic guided vehicle (AGV) in indoor environment through recognition of marker images is presented. The existing motion control system of the AGV using infrared sensors and landmarks has faced at the critical problem. That is, the crematorium has a narrow indoor environment compared with typical industrial fields. Particularly when the AGV changes its direction to enter the designated furnace the information provided by guided sensors cannot be utilized to estimate its location, because the rotating space is too narrow to access them. In this paper, a marker-based relative distance fingerprinting algorithm is presented to resolve the problem. Compared with the existing fingerprinting method which uses RSS, our proposed method may result in a more reliable estimation of the location. This method will be used to assist the primary navigation method based on double landmark recognition. These two distinct navigation methods are combined and integrated into the application systems which manage both the motion control and the location monitoring of the AGV.
Ju n 20 04 Power Law Stellar Distributions

The density profiles and other quantities of physical interest for spherically symmetric systems are computed by assuming that a collisionless stellar gas may relax to the non-Gaussian power law distribution suggested by the nonex-tensive kinetic theory. There are two different classes of solutions. The first class behaves like a subset of the polytropic Lane-Emden spheres, whereas the second one corresponds to a transition between two different polytropic indices. Unlike the isothermal Maxwellian sphere, the total mass and sizes of both classes are finite for a large range of the nonextensive q-parameter.
Automated detection of proliferative retinopathy in clinical practice

Timely intervention for diabetic retinopathy (DR) lessens the possibility of blindness and can save considerable costs to health systems. To ensure that interventions are timely and effective requires methods of screening and monitoring pathological changes, including assessing outcomes. Fractal analysis, one method that has been studied for assessing DR, is potentially relevant in today’s world of telemedicine because it provides objective indices from digital images of complex patterns such as are seen in retinal vasculature, which is affected in DR. We introduce here a protocol to distinguish between nonproliferative (NPDR) and proliferative (PDR) changes in retinal vasculature using a fractal analysis method known as local connected dimension (Dconn) analysis. The major finding is that compared to other fractal analysis methods, Dconn analysis better differentiates NPDR from PDR (p = 0.05). In addition, we are the first to show that fractal analysis can be used to differentiate between NPDR and PDR using automated vessel identification. Overall, our results suggest this protocol can complement existing methods by including an automated and objective measure obtainable at a lower level of expertise that experts can then use in screening for and monitoring DR.
Negative Impact of Preoperative Platelet-Lymphocyte Ratio on Outcome After Hepatic Resection for Intrahepatic Cholangiocarcinoma

AbstractThe elevated platelet-to-lymphocyte ratio (PLR), determined using an easy blood test based on platelet and lymphocyte counts, is reported to be a predictor of poor survival in patients with several cancers. The prognostic role of preoperative PLR in patients with intrahepatic cholangiocarcinoma (ICC) has, until now, been rarely investigated. The purpose of our study was to evaluate the prognostic significance of PLR in a large cohort of ICC patients after hepatic resection.We obtained data from 322 consecutive nonmetastatic ICC patients who underwent hepatectomy without preoperative therapy between 2005 and 2011. Clinicopathological parameters, including PLR, were evaluated. Overall survival (OS) and recurrence-free survival (RFS) were assessed using the Kaplan–Meier method. Using multivariate Cox regression models, the independent prognostic value of preoperative PLR was determined.Our results showed that PLR represents an independent adverse prognostic factor for OS and RFS in ICC patients using univariate and multivariate analyses. The optimal PLR cutoff value was 123 using receiver operating curve analyses. The 5-year OS and RFS rates after hepatectomy were 30.3% and 28.9% for the group with PLR 123 greater, compared with 46.2% and 39.4% for the group with PLR less than 123 (P = 0.0058 and 0.0153, respectively). In addition, high PLR values were associated with tumor size (P = 0.020). Our results suggest that preoperative PLR might represent a novel independent prognostic factor for OS and RFS in ICC patients with hepatic resection.
Multiple-attribute Decision-Making Method under a Single-Valued Neutrosophic Hesitant Fuzzy Environment

Abstract On the basis of the combination of single-valued neutrosophic sets and hesitant fuzzy sets, this article proposes a single-valued neutrosophic hesitant fuzzy set (SVNHFS) as a further generalization of the concepts of fuzzy set, intuitionistic fuzzy set, single-valued neutrosophic set, hesitant fuzzy set, and dual hesitant fuzzy set. Then, we introduce the basic operational relations and cosine measure function of SVNHFSs. Also, we develop a single-valued neutrosophic hesitant fuzzy weighted averaging (SVNHFWA) operator and a single-valued neutrosophic hesitant fuzzy weighted geometric (SVNHFWG) operator and investigate their properties. Furthermore, a multiple-attribute decision-making method is established on the basis of the SVNHFWA and SVNHFWG operators and the cosine measure under a single-valued neutrosophic hesitant fuzzy environment. Finally, an illustrative example of investment alternatives is given to demonstrate the application and effectiveness of the developed approach.
On global optimizations of the rank and inertia of the matrix function A 1 − B 1 XB ∗ 1 subject to a pair of matrix equations

For a given linear matrix function A1−B1XB 1 , where X is a variable Hermitian matrix, this paper derives a group of closed-form formulas for calculating the global maximum and minimum ranks and inertias of the matrix function subject to a pair of consistent matrix equations B2XB ∗ 2 = A2 and B3XB ∗ 3 = A3. As applications, we give necessary and sufficient conditions for the triple matrix equations B1XB ∗ 1 = A1, B2XB ∗ 2 = A2 and B3XB ∗ 3 = A3 to have a common Hermitian solution. In addition, we discuss the global optimizations on the rank and inertia of the common Hermitian solution of the pair of matrix equations B2XB ∗ 2 = A2 and B3XB ∗ 3 = A3. AMS subject classifications: 15A03, 15A09, 15A24; 65K10; 65K15
The L-fuzzy Nakano "Hyperlattice

In this paper we study the L-fuzzy hyperoperation t, which generalizes the crisp Nakano hyperoperation t1. We construct t using a family of crisp tp hyperoperations as its p-cuts. The hyperalgebra (X,t,∧) can be understood as an L-fuzzy hyperlattice. AMS Classification: 06B99, 06D30, 08A72, 03E72, 20N20.
Effective chaotic orbit tracker: a prediction-based digital redesign approach

It has been widely experienced that tracking (targeting) a periodic orbit embedded within a chaotic attractor often encounters an essential issue of numerical sensitivity. In this paper, we develop an effective digital tracker for continuous-time chaotic orbit tracking, which is insensitive to numerical errors. The design is based on some advanced digital redesign techniques equipped with a predictive feature. The new digital tracker allows for a relatively large sampling time, which can be important in some applications such as in chaotic biological systems. A new chaotic attractor is used as an example for illustration and demonstration.
Toward variability management to tailor high dimensional index implementations

The increasing amount of complex data requires a solution to store and query these data efficiently. One possibility to speed-up various query types is the application of high dimensional index structures. In prior work, we introduced QuEval as platform to evaluate these indexes for user-defined use cases. Our design allows to easily extend QuEval with new index structure implementations. However, based on our experiences, we encountered severe challenges by tailoring index structure implementations to specific use cases. In particular, we face challenges to manage several similar implementation variants of the same index. In this paper, we consequently show benefits and drawbacks that emphasize the necessity to tailor index structure implementations with the help of a short evaluation study. Finally, we outline approaches for adequate variability management to address the aforementioned drawbacks.
Advanced cryptographic primitives Lecture 9 : Attribute-based encryption for all circuits from LWE

0 Introduction We will use the content of these two articles for this course: • Fabien Laguillaumie, Adeline Langlois, and Damien Stehlé. Chiffrement avancé à partir du problème learning with errors. Chapitre de l’ouvrage "Informatique Mathématique, une photographie en 2014", 2014 • Sergey Gorbunov, Vinod Vaikuntanathan, and HoeteckWee. Attributebased encryption for circuits. In Proceedings of the Forty-fifth Annual ACM Symposium on Theory of Computing, STOC ’13, pages 545–554, New York, NY, USA, 2013. ACM
An in-memory based framework for scientific data analytics

This work presents the I/O in-memory server implemented in the context of the Ophidia framework, a big data analytics stack addressing scientific data analysis of n-dimensional datasets. The provided I/O server represents a key component in the Ophidia 2.0 architecture proposed in this paper. It exploits (i) a NoSQL approach to manage scientific data at the storage level, (ii) user-defined functions to perform array-based analytics, (iii) the Ophidia Storage API to manage heterogeneous back-ends through a plugin-based approach, and (iv) an in-memory and parallel analytics engine to address high scalability and performance. Preliminary performance results about a statistical analytics kernel benchmark performed on a HPC cluster running at the CMCC SuperComputing Centre are provided in this paper.
A new image segmentation hybrid algorithm

A new hybrid algorithm for image segmentation based on k-mean and particle swarm optimization algorithm is proposed in the paper. K-mean clustering algorithm is a local search algorithm because it is easily to be trapped in local optimum and is sensitive to initial value effectively. On the other hand, particle swarm optimization algorithm is a global optimization algorithm. Because of taking the criterion function of k-mean as the object function of PSO, this algorithm incorporates the local search ability of k-mean algorithm with the global optimization ability of PSO. Experiments show that the new algorithm can get the optimal quantizated image by PSNR and RMSE.
DeAL: Rich Heap Assertions (Almost) For Free

We present the DeAL language for heap assertions that are e ciently evaluatedduring garbage collection time.DeAL is a rich, declarative, logic-based language whose programs are guaranteed to be executable with good whole-heap locality, i.e., within a single traversal over every live object on the heap and a finite neighborhood around each object. As a result, evaluating DeAL programs incurs negligible cost: for simple assertion checking at each garbage collection, the end-to-end execution slowdown is below 2%. DeAL is integrated into Java as a VM extension and we demonstrate its e ciency and expressiveness with several applications and properties from the past literature. Compared to past systems for heap assertions, DeAL is distinguished by its very attractive expressiveness/e ciency tradeo : it o ers a significantly richer class of assertions than what past systems could check with a single traversal. Conversely, past systems that can express the same (or more) complex assertions as DeAL do so only by su ering ordersof-magnitude higher costs.
M ay 2 00 2 Strings from Quivers , Membranes from Moose

We consider N = 2 moose/quiver gauge theories corresponding to N1 D3branes at a C/ZN2 singularity in the “large moose” limit where N1 and N2 are scaled to infinity together. In the dual holographic description, this scaling gives rise to a maximally supersymmetric pp-wave background with a compact light-cone direction. We identify the gauge theory operators that describe the Discrete Light-Cone Quantization (DLCQ) of the string in this background. For each discrete light-cone momentum and winding sector there is a separate ground state and Fock space. The large moose/quiver diagram provides a useful graphical representation of the string and its excitations. This representation has a natural explanation in a T-dual language. The dual theory is a nonrelativistic type IIA string wound around the T-dual direction, and bound by a quadratic Newtonian potential. We end with some comments on D-string/Dparticle states, a possible lift to M-theory and the relation to deconstruction. On sabbatical leave from Tata Institute of Fundamental Research, 10/2001–9/2002.
Writing About Testing Worries Boosts Exam Performance in the Classroom

Write Your Worries Away Tests and exams are stressful for many people. Students who “choke” at an exam may perform less well than their knowledge base warrants. Such results can accumulate to generate reduced educational achievements and expectations. Studying young adults performing math tests, Ramirez and Beilock (p. 211) found that a brief intervention—writing about their anxiety about the upcoming exam—helped students to do better in the exam. Perhaps by acknowledging their fears, students were able to tame distracting emotions. A brief classroom intervention helps remove anxiety from the testing situation. Two laboratory and two randomized field experiments tested a psychological intervention designed to improve students’ scores on high-stakes exams and to increase our understanding of why pressure-filled exam situations undermine some students’ performance. We expected that sitting for an important exam leads to worries about the situation and its consequences that undermine test performance. We tested whether having students write down their thoughts about an upcoming test could improve test performance. The intervention, a brief expressive writing assignment that occurred immediately before taking an important test, significantly improved students’ exam scores, especially for students habitually anxious about test taking. Simply writing about one’s worries before a high-stakes exam can boost test scores.
The weighted region problem

<italic>We present an algorithm for determining the shortest path between a source and a destination through a planar subdivision in which each region has an associated weight. Distances are measured according to a weighted Euclidean metric: Each region of the subdivision has associated with it a weight, and the weighted distance between two points in a convex region is the product of the corresponding weight and the Euclidean distance between them. Our algorithm runs in time &Ogr;</italic>(<italic>n</italic><supscrpt>7</supscrpt> <italic>L</italic>) <italic>and requires &Ogr;</italic>(<italic>n</italic><supscrpt>3</supscrpt>) <italic>space, where n is the number of edges of the subdivision, and L is the precision of the problem instance (including the number of bits in a user-specified tolerance ∈, which is the percentage the solution is allowed to differ from an optimal solution). The algorithm uses the fact that shortest paths obey Snell's Law of Refraction at region boundaries, a local optimality property of shortest paths that is well-known from the analogous optics model. </italic>
SYNERGY: A Named Entity Recognition System for Resource-scarce Languages such as Swahili using Online Machine Translation

Developing Named Entity Recognition (NER) for a new language using standard techniques requires collecting and annotating large training resources, which is costly and time-consuming. Consequently, for many widely spoken languages such as Swahili, there are no freely available NER systems. We present here a new technique to perform NER for new languages using online machine translation systems. Swahili text is translated to English, the best off-the-shelf NER systems are applied to the resulting English text and the English named entities are mapped back to words in the Swahili text. Our system, called SYNERGY, addresses the problem of NER for a new language by breaking it into three relatively easier problems: Machine Translation to English, English NER and word alignment between English and the new language. SYNERGY achieves good precision as well as recall for Swahili. We also apply SYNERGY to Arabic, for which freely available NERs do exist, in order to compare its performance to other NERs. We ﬁnd that SYNERGY’s performance is close to the state-of-the-art in Arabic NER, with the advantage of requiring vastly less time and effort to build.