LLukas22/scidocs huggingface dataset:
The effect of albendazole treatment on seizure outcomes in patients with symptomatic neurocysticercosis.

BACKGROUND
Randomized controlled trials have found an inconsistent effect of anthelmintic treatment on long-term seizure outcomes in neurocysticercosis. The objective of this study was to further explore the effect of albendazole treatment on long-term seizure outcomes and to determine if there is evidence for a differential effect by seizure type.


METHODS
In this trial, 178 patients with active or transitional neurocysticercosis cysts and new-onset symptoms were randomized to 8 days of treatment with albendazole (n=88) or placebo (n=90), both with prednisone, and followed for 24 months. We used negative binomial regression and logistic regression models to determine the effect of albendazole on the number of seizures and probability of recurrent or new-onset seizures, respectively, over follow-up.


RESULTS
Treatment with albendazole was associated with a reduction in the number of seizures during 24 months of follow-up, but this was only significant for generalized seizures during months 1-12 (unadjusted rate ratio [RR] 0.19; 95% CI: 0.04-0.91) and months 1-24 (unadjusted RR 0.06; 95% CI: 0.01-0.57). We did not detect a significant effect of albendazole on reducing the number of focal seizures or on the probability of having a seizure, regardless of seizure type or time period.


CONCLUSIONS
Albendazole treatment may be associated with some symptomatic improvement; however, this association seems to be specific to generalized seizures. Future research is needed to identify strategies to better reduce long-term seizure burden in patients with neurocysticercosis.
LLLR Parsing: a Combination of LL and LR Parsing

A new parsing method called LLLR parsing is defined and a method for producing LLLR parsers is described. An LLLR parser uses an LL parser as its backbone and parses as much of its input string using LL parsing as possible. To resolve LL conflicts it triggers small embedded LR parsers. An embedded LR parser starts parsing the remaining input and once the LL conflict is resolved, the LR parser produces the left parse of the substring it has just parsed and passes the control back to the backbone LL parser. The LLLR(k) parser can be constructed for any LR(k) grammar. It produces the left parse of the input string without any backtracking and, if used for a syntax-directed translation, it evaluates semantic actions using the top-down strategy just like the canonical LL(k) parser. An LLLR(k) parser is appropriate for grammars where the LL(k) conflicting nonterminals either appear relatively close to the bottom of the derivation trees or produce short substrings. In such cases an LLLR parser can perform a significantly better error recovery than an LR parser since the most part of the input string is parsed with the backbone LL parser. LLLR parsing is similar to LL(∗) parsing except that it (a) uses LR(k) parsers instead of finite automata to resolve the LL(k) conflicts and (b) does not perform any backtracking. 1998 ACM Subject Classification F.4.2 Grammars and Other Rewriting Systems (Parsing), D.3.1 Formal Definitions and Theory (Syntax), D.3.4 Processors (Parsing)
Parental stress when caring for a child with cancer in Jordan: a cross-sectional survey

BACKGROUND
Most studies report that being parents of a child with cancer is a stressful experience, but these have tended to focus on mothers and few have included both parents. Moreover, studies have focussed on families in Western countries and none have been published examining the psychological outcomes for parents living in an Arabic country.This research explores the stress levels of Jordanian parents caring for a child with cancer in order to identify the psychological needs of parents in this environment and to explore how mothers and fathers stress levels might differ.


METHODS
The study was carried out in Jordan using the Perceived Stress Scale 10-items (PSS10). The questionnaire was completed by 300 couples with a child who has cancer and a comparison group of 528 couples where the children do not have any serious illness. Multivariate backward regression analysis was carried out.


RESULTS
Analysis adjusting for spousal stress and sociodemographic predictors revealed that stress levels of mothers with a child who had cancer remained significantly higher than mothers whose children did not have any serious illness (p < 0.001). However, having a child with cancer did not show a significant association with the fathers' reported stress scores (p = 0.476) when spousal stress was in the model, but was highly significant once that was removed (p < 0.001).Parental stress was analysed for those with a child who has cancer and in models which included spouse's stress scores, sociodemographic and cancer-related predictors 64 % of the variance was explained for mothers (adjusted R2 = 0.64, p < 0.001) and fathers (adjusted R2 = 0.64, p < 0.001). Models excluding spousal stress scores explained just 26 % of the variance for fathers and 22 % for mothers.


CONCLUSIONS
This is the first study into the psychological outcomes for parents living in an Arabic country who care for a child with cancer. Both mothers and fathers with a child diagnosed with cancer reported higher stress levels than those from the normal Jordanian parent population. Mothers and fathers of children with cancer reported significantly different levels of stress to each other but models reveal significant contributions of the stress score of fathers upon mothers, and vice versa. The findings provide evidence of the need for psychological support to be developed for families caring for a child with cancer in Jordan.
Morphological Analysis and Generation for Arabic Dialects

We present MAGEAD, a morphological analyzer and generator for the Arabic language family. Our work is novel in that it explicitly addresses the need for processing the morphology of the dialects. MAGEAD provides an analysis to a root+pattern representation, it has separate phonological and orthographic representations, and it allows for combining morphemes from different dialects.
Clingcon: The Next Generation

We present the third generation of the constraint answer set system clingcon, combining Answer Set Programming (ASP) with finite domain constraint processing (CP). While its predecessors rely on a blackbox approach to hybrid solving by integrating the CP solver gecode, the new clingcon system pursues a lazy approach using dedicated constraint propagators to extend propagation in the underlying ASP solver clasp. No extension is needed for parsing and grounding clingcon’s hybrid modeling language since both can be accommodated by the new generic theory handling capabilities of the ASP grounder gringo. As a whole, clingcon 3 is thus an extension of the ASP system clingo 5, which itself relies on the grounder gringo and the solver clasp. The new approach of clingcon offers a seamless integration of CP propagation into ASP solving that benefits from the whole spectrum of clasp’s reasoning modes, including for instance multi-shot solving and advanced optimization techniques. This is accomplished by a lazy approach that unfolds the representation of constraints and adds it to that of the logic program only when needed. Although the unfolding is usually dictated by the constraint propagators during solving, it can already be partially (or even totally) done during preprocessing. Moreover, clingcon’s constraint preprocessing and propagation incorporate several well established CP techniques that greatly improve its performance. We demonstrate this via an extensive empirical evaluation contrasting, first, the various techniques in the context of CSP solving and, second, the new clingcon system with other hybrid ASP systems.
APPLYING DATA MINING TECHNIQUES ON ACADAMIC INSTITUTIONAL SYSTEM USING WEKA S

These days, educational institutions and organizations are generating huge amount of data, more than the people can read in their lifetime. It is not possible for a person to learn, understand, decode, and interpret to find valuable information. Data mining is one of the most popular method which can be used to identify hidden patterns from large databases. User can extract historical, hidden details, and previously unknown information, from large repositories by applying required mining techniques. There are two algorithms which can be used to classify and predict, such as supervised learning and unsupervised learning. Classification is a technique which performs an induction on current data (existing data) and predicts future class. The main objective of classification is to make an unknown class to known class by consulting its neighbor class. therefore it is called as supervised learning, it builds the classifier by consulting with the known class labels such as k-nearest neighbor algorithm (k-NN), Naïve Bayes (NB), support vector machine (SVM), decision tree. Clustering is an unsupervised learning that builds a model to group similar objects into categories without consulting a class label. The main objective of clustering is find the distance between objects like nearby and faraway based on their similarities and dissimilarities it groups the objects and detects outliers. In this paper Weka tool is used to analyze by applying preprocessing, classification on institutional academic result of under graduate students of computer science & engineering. Keywords— Weka, classifier, supervised learning,
Hepatic arterial embolization versus chemoembolization in the treatment of liver metastases from well-differentiated midgut endocrine tumors: a prospective randomized study.

BACKGROUND
Liver surgery is the best treatment for endocrine liver metastases, but it is often impossible due to diffuse disease. Systemic chemotherapy is poorly effective. Hepatic arterial embolization (HAE) and chemoembolization (HACE) have shown efficacy but have never been compared.


PATIENTS AND METHODS
Patients with progressive unresectable liver metastases from midgut endocrine tumors were randomly assigned to receive HAE or HACE (two procedures at 3-month interval). The primary end point was the 2-year progression-free survival (PFS) rate. Secondary end points were response rates, overall survival, and safety.


RESULTS
Twelve patients were assigned to receive HACE and 14 to receive HAE. The patient characteristics were well matched across the treatment arms. The 2-year PFS rates were 38 and 44% in the HACE and HAE arms, respectively (p = 0.90). Age, gender, previous resection of the primary tumor or liver metastases, extent of liver involvement, and concomitant treatment with somatostatin analogues were not associated with changes in PFS, whereas elevated baseline urinary 5-HIAA and serum chromogranin A levels were associated with shorter PFS. The 2-year overall survival rates were 80 and 100% in the HACE and HAE arms, respectively (p = 0.16). The disease control rate on CT scan was 95%. Grade 3 toxicity occurred in 19% of patients, with no treatment-related deaths and no differences in the treatment arms.


CONCLUSION
HACE and HAE are safe and permit tumor control in 95% of patients with progressive liver metastases from midgut endocrine tumors. The 2-year PFS was not higher among patients receiving HACE, not favoring the hypothesis of an additive efficacy of arterial chemotherapy or embolization alone.
Horner’s syndrome following internal jugular vein cannulation

We present two cases of Horner’s syndrome occurring following uncomplicated internal jugular venous cannulation. An awareness of this potential complication will reduce confusion over the aetiology of anisocoria in critically ill patients. This consideration is important, since lesions in the central nervous system or carotid dissection following trauma might otherwise be suspected.
"Cultures in negotiation": teachers' acceptance/resistance attitudes considering the infusion of technology into schools

A teachers’ training project, employing teacher-mentored in-school training approach, has been recently initiated in Greek secondary education for the introduction of Information and Communication Technology (ICT) into the classroom. Data resulting from this project indicate that although teachers express considerable interest in learning how to use technology they need consistent support and extensive training in order to consider themselves able for integrating it into their instructional practice. Teachers are interested in using ICT (a) to attain a better professional profile, and (b) to take advantage of any possible learning benefits offered by ICT but always in the context of the school culture. They are willing to explore open and communicative modes of ICT based teaching whenever school objectives permit, otherwise they appear to cautiously adapt the use of ICT to the traditional teacher-centered mode of teaching (strongly connected to the established student examination system). Teachers’ attitude to adapt ICT mode of use is supported by research evidence that emphasize the situational character of knowledge and expertise. Authors employ a model premised on Perceptual Control Theory to interpret available data and discuss the view that introducing ICT into schools can be understood as a “negotiation” process between cultures.
Ownership types for safe programming: preventing data races and deadlocks

This paper presents a new static type system for multithreaded programs; well-typed programs in our system are guaranteed to be free of data races and deadlocks. Our type system allows programmers to partition the locks into a fixed number of equivalence classes and specify a partial order among the equivalence classes. The type checker then statically verifies that whenever a thread holds more than one lock, the thread acquires the locks in the descending order.Our system also allows programmers to use recursive tree-based data structures to describe the partial order. For example, programmers can specify that nodes in a tree must be locked in the tree order. Our system allows mutations to the data structure that change the partial order at runtime. The type checker statically verifies that the mutations do not introduce cycles in the partial order, and that the changing of the partial order does not lead to deadlocks. We do not know of any other sound static system for preventing deadlocks that allows changes to the partial order at runtime.Our system uses a variant of ownership types to prevent data races and deadlocks. Ownership types provide a statically enforceable way of specifying object encapsulation. Ownership types are useful for preventing data races and deadlocks because the lock that protects an object can also protect its encapsulated objects. This paper describes how to use our type system to statically enforce object encapsulation as well as prevent data races and deadlocks. The paper also contains a detailed discussion of different ownership type systems and the encapsulation guarantees they provide.
The role of hotel owners: the influence of corporate strategies on hotel performance.

Purpose – The purpose of this paper is to examine corporate strategic effects on hotel unit performance. Taking a hotel owner’s perspective, the relationship between four types of the owner’s corporate level strategies and the hotel property financial performance are examined. Design/methodology/approach – This study is built on a secondary data set provided by Smith Travel Research. A total of 2,012 hotels across the USA were analyzed for the period between 2003-2005. Findings – The findings support the existence of corporate effects in the US lodging industry. It is revealed that a hotel owner’s corporate strategies do influence hotel property level financial performance. Specifically, a hotel owner’s expertise in implementing superior strategies regarding segment, brand, operator, and location (i.e. state) are critical to hotel unit financial performance. Research limitations/implications – The main limitations of this study include the limited number of years with available data, lack of knowledge on the names of hotel owners, brands and operators, and the performance measures focusing only operating but not value/return measures. Practical implications – This research shows that a hotel owner can have significant influence on the operating performance of its hotel properties by implementing strategies regarding its properties’ locations, segments, brand affiliations and operators. Specifically, brand affiliation has shown a consistently larger impact on both revenue and profit than other corporate strategies, and consequently should receive particular attention from the owner to carefully assess the brand’s potential contribution before engaging in a franchise agreement. Originality/value – This research expands the strategy research in the hospitality field by linking two key strategy constructs – corporate effects and corporate strategy – together and by revealing their collective influence on hotel performance.
Real-Time GPS Spoofing Detection via Correlation of Encrypted Signals

A method for detecting the spoofing of civilian GPS signals has been implemented and successfully tested in a real-time system. GPS signal spoofing is an attack method whereby a third party transmits a signal that appears authentic but induces the receiver under attack to compute an erroneous navigation solution, time, or both. The detection system described herein provides a defense against such attacks. It makes use of correlations between the unknown encrypted GPS L1 P(Y) code signals from two narrow-band civilian receivers to verify the presence or absence of spoofing. One of these receivers is assumed to be at a secure location that is not subject to spoofing. The other receiver is the potential spoofing victim for which the present developments constitute a defense. Successful detection results are presented using a reference receiver in Ithaca, New York, a victim receiver in Austin, Texas, and a spoofer in Austin, Texas.
Preface-Emerging Technologies and Landmark Systems for Learning Mathematics and Science: Dedicated to the Memory of Erica Melis-Part 2

It is our distinct pleasure, as co-editors, to introduce this special edition of the International Journal of Artificial Intelligence in Education. Not only dowe have four very interesting and high quality papers about emerging educational technologies in mathematics and science to present, but we also have the opportunity to dedicate this volume to our colleague and friend, EricaMelis, who passed away in February 2011 at the age of 61.We all knewErica well and two of us (McLaren, Sosnovsky) worked closely with her for several years and personally witnessed the bravery with which she fought her illness and faced her mortality. Erica was an important figure in AI in Education (AIED) research, tirelessly working on both new ideas and more established, landmark research in the area of education and technology. This volume focuses on one aspect of Erica’s research life – new ideas. A soon-to-be released companion issue of the International Journal of Artificial Intelligence in Education will focus on the second passion of Erica’s research life – landmark instructional systems for supporting learners and learning. Erica was a dedicated and rigorous researcher, and led a full life. She was born in Cuba in 1949 to a German Jewish family in exile, eventually returning to Germany to live and lead her academic life. In East Germany, where she first lived upon returning to Germany, she studied Kripke Logic. When she moved to the west, her academic interests shifted to a study of analogy and case-based reasoning, subfields of artificial intelligence. She also did seminal proof planning work with Joerg Siekmann, who eventually became her husband. She was always keenly interested in international collaborations, spending time Int J Artif Intell Educ DOI 10.1007/s40593-014-0021-0
Geographic aspects of international relations

Inevitably, reading is one of the requirements to be undergone. To improve the performance and quality, someone needs to have something new every day. It will suggest you to have more inspirations, then. However, the needs of inspirations will make you searching for some sources. Even from the other people experience, internet, and many books. Books and internet are the recommended media to help you improving your quality and performance.
Bolzano and the Analytical Tradition

In the course of the last few decades, Bolzano has emerged as an important player in accounts of the history of philosophy. This should be no surprise. Few authors stand at a more central junction in the development of modern thought. Bolzano's contributions to logic and the theory of knowledge alone straddle three of the most important philosophical traditions of the 19th and 20th centuries: the Kantian school, the early phenomenological movement and what has come to be known as analytical philosophy. This paper identifies three Bolzanian theoretical innovations that warrant his inclusion in the analytical tradition: the commitment to ‘logical realism’, the adoption of a substitutional procedure for the purpose of defining logical properties and a new theory of a priori cognition that presents itself as an alternative to Kant's. All three innovations concur to deliver what counts as the most important development of logic and its philosophy between Aristotle and Frege. In the final part of the paper, I defend Bolzano against a common objection and explain that these theoretical innovations are also supported by views on syntax, which though marginal are both workable and philosophically interesting. © 2013 John Wiley & Sons Ltd
Formation of non-magnetic region in ferromagnetic stainless steel by laser alloying

We studied the method of formation of non-magnetic region in ferritic stainless steel by laser alloying and the cause of cracks in this method. So we obtained non-magnetic region (its magnetic permeability is less than 1.1) free from cracks by laser alloying.
Integrated online trajectory planning and optimization in distinctive topologies

This paper presents a novel integrated approach for efficient optimization based online trajectory planning of topologically distinctive mobile robot trajectories. Online trajectory optimization deforms an initial coarse path generated by a global planner by minimizing objectives such as path length, transition time or control effort. Kinodynamic motion properties of mobile robots and clearance from obstacles impose additional equality and inequality constraints on the trajectory optimization. Local planners account for efficiency by restricting the search space to locally optimal solutions only. However, the objective function is usually non-convex as the presence of obstacles generates multiple distinctive local optima. The proposed method maintains and simultaneously optimizes a subset of admissible candidate trajectories of distinctive topologies and thus seeking the overall best candidate among the set of alternative local solutions. Time-optimal trajectories for differential-drive and carlike robots are obtained efficiently by adopting the Timed-Elastic-Band approach for the underlying trajectory optimization problem. The investigation of various example scenarios and a comparative analysis with conventional local planners confirm the advantages of integrated exploration, maintenance and optimization of topologically distinctive trajectories. ∗Corresponding author Email address: christoph.roesmann@tu-dortmund.de (Christoph Rösmann) Preprint submitted to Robotics and Autonomous Systems November 12, 2016