Miracle-dz/UniFAR-FTUs huggingface dataset:
Reflections on: Deep Learning for Noise-Rolerant RDFS Reasoning

Since the 2001 envisioning of the Semantic Web (SW), the main research focus in SW reasoning has been on the soundness and completeness of reasoners. While these reasoners assume the veracity of input data, the reality is that the Web of data is inherently noisy. Although there has been recent work on noise-tolerant reasoning, it has focused on type inference rather than full RDFS reasoning. Even though RDFS closure generation can be seen as a Knowledge Graph (KG) completion problem, the problem setting is diﬀerent— making KG embedding techniques that were designed for link prediction not suitable for RDFS reasoning. This paper documents a novel approach that extends noise-tolerance in the SW to full RDFS reasoning. Our embedding technique— that is tailored for RDFS reasoning— consists of layering RDF graphs and encoding them in the form of 3D adjacency matrices where each layer layout forms a graph word . Each input graph and its entailments are then represented as sequences of graph words, and RDFS inference can be formulated as translation of these graph words sequences, achieved through neural machine translation. Our evaluation on LUBM1 synthetic dataset shows 97% validation accuracy and 87 . 76% on a subset of DBpedia while demonstrating a noise-tolerance unavailable with rule-based reasoners.
The Case for Hybrid Succinct Data Structures

One of the biggest challenges in data management is to retain the high performance of in-memory processing with the ever increasing data volumes. Recent years have shown that the amount of collected data is increasing at a faster pace than DRAM capacities. Many state-of-the-art index data structures are optimized for performance rather than for low space consumption and quickly exceed the limited main-memory capacities when indexing larger data sets. Succinct data structures on the other hand allow for space efficient indexing, but compromise performance while still being orders of magnitude faster than disk-based data structures. In this work, we propose a novel framework that combines state-of-the-art indexes with succinct data structures to form new hybrid succinct data structures . These hybrids enable fine-grained trade-offs between space and performance. Frequently accessed parts of an index, e.g. the upper levels of a tree, are thereby maintained in performance-optimized structures whereas less frequently accessed parts have a space-optimized representation. Our evaluation shows that our approach can significantly reduce the amount of used space by up to 50% (resp. 90% for our compressed version) while retaining 93% (resp. 87%) of the performance.
User Audit Model Based on Attribute Measurement and Similarity Measurement

The Internet of Things (IoT) is an open network. And, there are a large number of malicious nodes in the network. These malicious nodes may tamper with the correct data and pass them to other nodes. The normal nodes will use the wrong data for information dissemination due to a lack of ability to verify the correctness of the messages received, resulting in the dissemination of false information on medical, social, and other networks. Auditing user attributes and behavior information to identify malicious user nodes is an important way to secure networks. In response to the user nodes audit problem, a user audit model based on attribute measurement and similarity measurement (AM-SM-UAM) is proposed. Firstly, the user attribute measurement algorithm is constructed, using a hierarchical decision model to construct a judgment matrix to analyze user attribute data. Secondly, the blog similarity measurement algorithm is constructed, evaluating the similarity of blog posts published by different users based on the improved Levenshtein distance. Finally, a user audit model based on a security degree is built, and malicious users are defined by security thresholds. Experimental results show that this model can comprehensively analyze the attribute and behavior data of users and have more accurate and stable performance in the practical application of the network platforms.
Towards Planning of Regular Queries with Memory

We investigate efficient evaluation of regular path queries with memory (RQM), which are an extension of regular path queries (RPQ) with additional constraints on data encountered along a path in a graph. We show how Waveguide , a state of the art system capable of planning RPQs, can be extended to facilitate RQM planning. Furthermore, we show that RQM planning is not as trivial as finding a conventional optimal join order and adding-on data constraints. Rather, we showcase that efficient evaluation of RQMs poses a number of non-trivial novel challenges.
Applying Vision Based Predictive Modelling for Rapid Characterization of Shape Memory Polymer

In this article we aim to combine video data analysis techniques, scalable machine learning, and Shape memory polymers (SMPs) materials to develop a model-based architecture for the advancement of rapid characterization of a novel material. Although artiﬁcially intelligent machines, e.g. soft robotics systems, with high ﬂexibility have con-quered the production line and other controlled, predictable environments, their use in complex real-world scenarios has to date remained limited. Newly discovered and experimented SMPs are increasingly being used for application solutions in automotive, aerospace, construction and commercial ﬁeld. But being a nascent ﬁeld there is little knowledge on the shape recovery behaviour of laminates with a SMP ﬁlm and there are only methods reported in literature for quantifying the material behaviour. Through various experimental data gathering and predictive modelling it was established that proposed methodology can rapidly characterize novel materials. The proposed modelling workﬂow showed accuracy of 90sensitivity and 94of SMP body, show-casing high potential for data driven rapid characterisation of shape memory materials.
An Integrated Graph Neural Network for Supervised Non-obvious Relationship Detection in Knowledge Graphs

Non-obvious relationship detection (NORD) in a knowledge graph is the problem of finding hidden relationships between the entities by exploiting their attributes and connections to each other. Existing solutions either only focus on entity attributes or on certain aspects of the graph structural information but ultimately do not provide sufficient modeling power for NORD. In this paper, we propose KGMatcher– an integrated graph neural network-based system for NORD. KGMatcher characterizes each entity by extracting features from its attributes , local neighborhood , and global position information essential for NORD. It supports arbitrary attribute types by providing a flexible interface to dedicated attribute embedding layers. The neighborhood features are extracted by adopting aggregation-based graph layers, and the position information is obtained from sampling-based position aware graph layers. KGMatcher is trained end-to-end in the form of a Siamese network for producing a symmetric scoring function with the goal of maximizing the effectiveness of NORD. Our experimental evaluation with a real-world data set demonstrates KGMatcher’s 6% to 35% improvement in AUC and 3% to 15% improvement in F 1 over the state-of-the-art.
Shedding Light on the East Asian Learner Paradox: Reconstructing student-centredness in a Shanghai classroom

The East Asian learner paradox refers to the apparent contradiction between the teacher-dominated learning environment in East Asia, which is generally perceived to be non-conducive to learning, and the outstanding performance of East Asian students in comparative studies. This study attempts to explain this phenomenon based on the perspectives of a Chinese teacher from Shanghai, his group of students, and the author's own observations as a researcher. The analysis was based on the theory of variation and it showed how the teacher handled the relationship between the procedural and conceptual aspects of the mathematics. This analysis also shows that the teacher in this study had a strong pedagogical belief and highly valued his students' thinking and participation. At the same time, his students also expressed a consistent concern for learning the mathematical content. Therefore, this author argues that what seems to be a teacher-dominated lesson may actually be interpreted as an alternative form of student-centredness, which is accepted in the teacher's culture.
Systemic blood pressure in the obstructive sleep apnoea/hypopnoea syndrome

The obstructive sleep apnoea hypopnoea syndrome (OSAHS) is a common disorder, affecting 1-4 % of the middle-aged population. The consequences ofOSAHS include an impact on sleepiness, health status, cognitive function and driving. There has been conflicting data in the literature concerning the impact of sleep apnoea on arterial blood pressure (BP). Apnoeas and hypopnoeas are associated with acute swings in nocturnal BP of up to 100 mmHg. However whether sleep apnoea leads to sustained daytime hypertension was unresolved. Early uncontrolled studies by Guilleminault in the 1970's showed BP in severe OSAHS returning to normal levels after tracheostomy, and this was later echoed by Sullivan using CPAP to treat the disorder. Later studies however suggested that the association between these two disorders was as a result of common confounding factors in OSAHS rather than the disorder having a true causal role in hypertension. Young et al in the early 1990's, looked at a subset of their large epidemiological group, the Wisconsin Sleep cohort, and showed the prevalence of hypertension was higher in patients with sleep disordered breathing compared to matched controls. More recently Brooks using chronically instrumented dogs as a model of OSAHS, showed systemic BP was elevated in the daytime when they simulated sleep apnoea, and this resolved back to normal levels over a period of several days to weeks when the apnoeas were stopped. This study provided convincing evidence that sleep apnoea caused elevated BP, which persisted during waking hours, at least in dogs. The purpose of this thesis was to demonstrate in a randomised controlled trial whether BP was higher in untreated OSAHS. The study was crossover in design with the patients acting as their own controls so increasing the power of the study. Sixty-eight patients were studied with at least two major symptoms of OSAHS, and a mean AHI
Return to work experiences of employed women with breast cancer in Trinidad

This qualitative study explored the experiences of employed women with breast cancer. The narrative approach using Frank‟s (1995) illness types and the feminist perspective were applied in looking at the women‟s diversity of experiences and meanings. Purposive sampling was used to recruit women aged 30-49 (n=8) who continued working during treatment and after treatment ended. Face to face, semi-structured interviews were conducted. The findings discovered that all the women got reasonable accommodations; work environment was supportive; and the majority was successful in returning to work despite treatment challenges. Two separated participants reported being locked into job because of medical insurance and discrimination. Concerns identified were: More support from health care professionals, information, dietary, counselling and the need to be listened to. This study can help social workers and other health care professionals to review their roles in supporting women who return to work and in managing the cancer experience.
Smoking Cessation a Review Article

Globally, including the United States, cigarette smoking is the single most important cause of premature death, even though it is preventable. The prevalence of smoking is high, although some resources have been dedicated to this problem. A variety of interventions have been tried on smoking prevention. From the public health perspective, it is the biggest concern. As there are numerous health benefits of smoking cessation, most individuals who smoke express a desire to quit. Studies show that most smokers in the United States and the United Kingdom report that they want to stop or intend to leave smoking at some point in life Hyland [1]. A multitude of non-pharmacological and pharmacological interventions now exist to aid smokers in cessation.
Questioning The Aloha in a Multicultural Teacher Education Course

Hawaii is often perceived as the “Land of Aloha”, a racial paradise where everyone gets along. But do we? The author explores Hawaii's distinct cultural dynamics with pre-service teachers in a multicultural education course that problematised race and ethnicity. Using an inquiry approach and culturally relevant activities, the class examined the social inequity that exists between privileged “non-minorities” like Japanese, Chinese and Whites, and “disadvantaged minorities” like Filipinos, Native Hawaiians and Samoans. This study found that living among diversity in Hawaii made recognising racism and social inequity difficult. Patterns of student engagement reflected one's positioning in Hawaii's racial and socioeconomic hierarchy. Students from privileged groups minimised and deflected their role in contributing to racism, while students from disadvantaged groups assumed a more critical stance towards society. This study reframes the dialogue on race in education and provides implications for multicultural teacher education.
Evaluation of Estridiol and Some Antioxidant in Breast Cancer Iraqi Women

Cancer is the second reason of deaths worldwide while breast cancer is the more spread cancer in women, comprising 29 % from all cancers that they are affected Samples were obtained from patients undergoing surgery in center from breast cancer in oncology teaching hospital Al-Eluia hospital for woman care All blood samples were taken of the patients (110 women) and divided into four groups benign, malignant, radiotherapy and control group In order to measurement estrogen levels which are influenced by the menstrual cycle, the main groups were furthermore divided into sub-groups, premenopausal and postmenopausal women The mean value ± SE of Body Mass Index (BMI) for control, benign, malignant and radiotherapy breast cancer were showed a non-significant change in the comparison of groups according to the Duncan test Estrogen were increased before therapy but decreased following therapy The levels of malondialdehyde (MDA)were elevated in patients after radiotherapy The mean value ± SE of vitamin E were decreased in studied groups Present study aims to study the effects of serum estrogen, vitamin E and antioxidant status in breast cancer patients
Diarrhoea dialogues: From policies to progress. A call for urgent action to prevent the biggest killer of children in sub-Saharan Africa.

Diarrhoea Dialogues: From Policies to Progress reviews national policies and strategies to control diarrhea in three African countries: Ethiopia Mali and Zambia. The report provides recommendations based on research findings and calls for global and national decision-makers to take coordinated action to overcome challenges and address diarrhea by engaging in dialogue and working together to save lives.
Uptodate in Deep Vein Thrombosis

There are various elements that expansion a man’s danger of building up a profound vein thrombosis. On the off chance that a man is found to have a DVT and there is no known therapeutic condition or late surgery that could have brought on the DVT, it is conceivable that an acquired condition is the cause. This is particularly valid in individuals with a relative who has likewise encountered a DVT or pneumonic embolism. In these cases, testing for an acquired thrombophilia might be prescribed. In any case, finding an acquired thrombophilia does not change the way that specialists treat the venous thromboembolism, and may not build the shot of the blood coagulation returning.
Analytical procurement of pharmaceutical development of preparation with thioctic acid in the form of injectable solution

Aim: The aim of this study is to carry out analytical supplying of pharmaceutical development and standardization of methods of quality control of the drug with thioctic acid (α-TA) by the main indices in accordance with the requirements of the State Pharmacopoeia of Ukraine (harmonized with the European Pharmacopoeia) for parenteral medicinal products, namely, injectable solutions. Materials and Methods: The analytical research has been conducted by the method of liquid chromatography on the chromatograph of the firm “Waters 2487” (USA); thin-layer chromatography (TLC) method; method of potentiometry on рН-meter “МР-512” using electronic scales “Sartorius BA 210S;” and measuring dishes of А class. Results and Discussion: The analytical procurement of pharmaceutical development and standardized methods of quality control according to the main indices in accordance with the requirements of the State Pharmacopoeia of Ukraine for parenteral medicinal products (solutions for infusions) has been created to develop a combined original drug for the treatment of critical states of different etiologies. The validation of the method of identification and quantitative determination of α-ТА in the final dosage form, using the liquid chromatography method for analytical supplying of pharmaceutical development, has been developed, standardized, and validated. The validation studies performed for the test “quantitative determination” confirm the concordance of such validation characteristics as the forecast of complete uncertainty of the analysis, specificity, linearity, precision, and eligibility criteria. The method developed can be proposed for the determination of α-ТА identification and the concomitant impurities (admixture A and other non-specific impurities) in the injectable solution simultaneously with the quantitative determination of α-ТА. The determining method of the identification of auxiliary substance trometamol by TLC has been tested. The suitability of the method for determining the impurity B (polymerase α-ТА) in the injectable solution by the TLC method has been developed and proved. Conclusion: The method of identifying the subsidiary substance trometamol together with the active substance by TLC method is presented. The applicability of the method for determining the impurity B (thioric acid polymerase) in a solution for injection by TLC has been developed and proved.
Integration of Cellular and Physiological Functions of Guard Cells

A plant's aerial surfaces are covered by a water-impermeable barrier that limits water loss to stomata, which also permit the uptake of carbon dioxide. Water loss through stomata is required for the ascent of nutrient-laden sap, and evaporation of water from the leaf can be an important cooling mechanism. In most terrestrial environments, however, water is a limiting resource, and its loss must be regulated lest the plant desiccate. Balanced against the essential demand for regulated water loss is the less urgent requirement to acquire carbon dioxide. Regulation of water loss and carbon dioxide uptake is achieved through turgor fluctuations of the pair of guard cells that surround each stoma. When a guard-cell pair accumulates solutes, the resultant turgor and volume changes cause the guard cells to bow outward because of cell-wall architecture, enlarging the pore between them. This simple explanation belies the underlying complexity of guard-cell turgor regulation and whole-plant responses, aspects of which have been the topics of many focused reviews. This review is general and provides an overview of cellular mechanisms that are involved in turgor regulation. It emphasizes regulatory substances that can be altered externally and therefore includes a description of integrative environmental and whole-plant physiological signals that coordinate guard-cell responses.
The strategic evaluation of regional development in higher education

The study analyses the role of regional development in higher education using the approach of the balanced scorecard, which provides a framework for organizations to describe and communicate their strategy. It turns out that the balanced scorecard is not only an approach for implementing the strategy, but it also provides a general framework for evaluating the strategy from the different perspectives. The study presents examples where the new evaluation approach has been used to analyse the national educational policy of regional development, regional strategies of higher education institutions and their cooperation. According to the results of the study, cooperation between higher education institutions is most important from the perspectives of learning and regional development.
High-Altitude Andean H194R HIF2A Allele Is a Hypomorphic Allele

Abstract For over 10,000 years, Andeans have resided at high altitude where the partial pressure of oxygen challenges human survival. Recent studies have provided evidence for positive selection acting in Andeans on the HIF2A (also known as EPAS1) locus, which encodes for a central transcription factor of the hypoxia-inducible factor pathway. However, the precise mechanism by which this allele might lead to altitude-adaptive phenotypes, if any, is unknown. By analyzing whole genome sequencing data from 46 high-coverage Peruvian Andean genomes, we confirm evidence for positive selection acting on HIF2A and a unique pattern of variation surrounding the Andean-specific single nucleotide variant (SNV), rs570553380, which encodes for an H194R amino acid substitution in HIF-2α. Genotyping the Andean-associated SNV rs570553380 in a group of 299 Peruvian Andeans from Cerro de Pasco, Peru (4,338 m), reveals a positive association with increased fraction of exhaled nitric oxide, a marker of nitric oxide biosynthesis. In vitro assays show that the H194R mutation impairs binding of HIF-2α to its heterodimeric partner, aryl hydrocarbon receptor nuclear translocator. A knockin mouse model bearing the H194R mutation in the Hif2a gene displays decreased levels of hypoxia-induced pulmonary Endothelin-1 transcripts and protection against hypoxia-induced pulmonary hypertension. We conclude the Andean H194R HIF2A allele is a hypomorphic (partial loss of function) allele.
Not being mentally ill

Much of the social scientific work on psychiatry and mental health, from a variety of competing perspectives, has focused upon power and the social construction of ‘mental illness’. Very little attention has been paid to resistance or to the various ways in which ‘patients’ or ‘survivors’ (as some now prefer to refer to themselves) have sought to socially deconstruct ‘mental illness’. This paper seeks to redress that balance by way of a detailed examination of some of the key practices of resistance which have developed within the context of the UK mental health survivors movement. Using key concepts from Bourdieu's theory of practice, it examines the challenge which survivors have mounted to the symbolic power of psychiatry, and the resistance habitus which their opposition has given rise to.
Management of hip and groin pain in American football players

Fractures, dislocations, muscle and tendon strains, athletic pubalgia, contusions, and femoroacetabular impingement (FAI) are common injuries in American football players and range in severity from minor to major due to the high energy collisions, but have not been comprehensively reviewed. Athletes with preexisting FAI are more prone to hip subluxation and dislocation as well as intra-articular pathology. Although stress fractures are the most common osseous issues, femoral neck and pelvis fractures have the risk for high amounts of morbidity. Musculotendinous injury and contusions are the most common injuries in football with goals of return to play being based in maintaining motion and progression to strengthening. American football hip injuries are unique and can be quite severe due to high energy collisions. Prompt and appropriate management is key to prevent long term morbidity and shorten safe return to play.