Miracle-dz/UniFAR-FTUs huggingface dataset:
Tilburg University Feasibility of the evidence-based cognitive telerehabilitation program ReMind for patients with primary brain tumors

Many patients with primary brain tumors experience cognitive deficits. Cognitive rehabilitation programs focus on alleviating these deficits, but availability of such programs is limited. Our large randomized controlled trial (RCT) demonstrated positive effects of the cognitive rehabilitation program developed by our group. We converted the program into the iPad-based cognitive rehabilitation program ReMind, to increase its accessibility. The app incorporates psychoeducation, strategy training and retraining. This pilot study in patients with primary brain tumors evaluates the feasibility of the use of the ReMind-app in a clinical (research) setting in terms of accrual, attrition, adherence and patient satisfaction. The intervention commenced 3 months after resective surgery and patients were advised to spend 3 h per week on the program for 10 weeks. Of 28 eligible patients, 15 patients with presumed low-grade glioma or meningioma provided informed consent. Most important reason for decline was that patients (7) experienced no cognitive complaints. Participants completed on average 71% of the strategy training and 76% of the retraining. Some patients evaluated the retraining as too easy. Overall, 85% of the patients evaluated the intervention as “good” or “excellent”. All patients indicated that they would recommend the program to other patients with brain tumors. The ReMind-app is the first evidence-based cognitive telerehabilitation program for adult patients with brain tumors and this pilot study suggests that postoperative cognitive rehabilitation via this app is feasible. Based on patients’ feedback, we have expanded the retraining with more difficult exercises. We will evaluate the efficacy of ReMind in an RCT.
Uniform Symbolic Topologies in Non-Regular Rings

When does a Noetherian commutative ring R have uniform symbolic topologies (USTP) on primes – read, when does there exist an integer D > 0 such that the symbolic power P (Dr) ⊆ P r for all prime ideals P ⊆ R and all r > 0? Groundbreaking work of Ein – Lazarsfeld – Smith, as extended by Hochster and Huneke, and by Ma and Schwede in turn, provides a beautiful answer in the setting of finite-dimensional excellent regular rings. Their work shows that there exists a D depending only on the Krull dimension: in other words, the exact same D works for all regular rings as stated of a fixed dimension. Referring to this last observation, we say in the thesis that the class of excellent regular rings enjoys class solidarity relative to the uniform symbolic topology property (USTP class solidarity), a strong form of uniformity. In contrast, this thesis shows that for certain classes of non-regular rings including rational surface singularities and select normal toric rings, a uniform bound D does exist but depends on the ring, not just its dimension. In particular, for rational double point surface singularities over C, we show that USTP solidarity is plainly impossible. It is natural to sleuth for analogues of the Improved Ein – Lazarsfeld – Smith Theorem where the ring R is non-regular, or where the above ideal containments can be improved using a linear function whose growth rate is slower. This thesis lies in the overlap of these research directions, working with Noetherian domains.
MORPHOLOGICAL AND ANATOMICAL STUDIES OF LEAVES OF DIFFERENT PLANTS AFFECTED BY MOTOR VEHICLES EXHAUST

Morphological and anatomical studies of leaves of roadside trees (Ficus bengalensis L., Guaiacum officinale L. and Eucalyptus sp.) of polluted and unpolluted areas were carried out. All the plants showed no visible morphological and anatomical changes. However, some reduction in these characters were observed in leaves which were collected from the city center. Significant reduction in length and area of leaflets and length of petiole of G. officinale of polluted plants was recorded. Similarly, reduction in the anatomical characteristics of polluted leaves of the above mentioned species was also observed. Significant reduction was particularly recorded in spongy parenchyma and lower epidermis in F. bengalensis and Eucalyptus sp. , respectively.
IV . 07 Impact of Non-Uniform Distribution of Temperature on the State of Stress of Masonry

Deterioration of masonry is caused by inordinate loading and by climatic actions. Climatic cyclic thermal stress in structure is incurred by unequal temperature gradient across the thickness of homogenous or heterogeneous masonry. Thermal gradient also causes significant stress close to the interface between stone and mortar in the masonry made of components with different thermal expansion properties. The values of thermal stress increase with higher thermal gradient. Impact of insulation, absorption of solar radiation, air temperature around the structure, heat transfer coefficient, coefficient of heat conduction and heat capacity to the temperature gradient in the wall exposed to the exterior weather conditions were investigated by a numerical model. All of these effects or material properties affect the maximal surface temperatures in masonry during summer. Especially the orientation of surface to the cardinal points, solar absorption and velocity of the wind around structure influences significantly the maximal achieved surface temperature thus the values of stress caused by the temperature.
Working Paper Series Credit market competition and liquidity crises

We develop a model where banks invest in reserves and loans, and trade loans on the interbank market to deal with liquidity shocks. Two types of equilibria emerge, depending on the degree of credit market competition and the level of aggregate liquidity risk. In one equilibrium, all banks keep enough reserves and remain solvent. In the other, some banks default with positive probability. The latter equilibrium exists when competition is not too intense and high liquidity shocks are not too likely. The model delivers several implications concerning the severity of crises and credit availability along the business cycle. JEL Classifications: G01, G20, G21.
European Conference on Information Systems ( ECIS ) 2009 Design criteria for public e-services

This paper focuses on design criteria for public e-services. The paper challenges traditional lists of usability criteria supporting design and evaluation of IT-systems. Traditional criteria within the field of human-computer interaction are perceived as too limited and an expanded view of the communication and business process is proposed. Within this expanded view, existing usability criteria are considered as important but not sufficient. Based on this claim, criteria also supporting communication and business actions are proposed. The proposed criteria are generated from an empirical study concerning a development of an e-service. The aim of this e-service is to support the communication between companies and the municipality when companies are going to get permission for running business. Analysing the communication need in this context has been of particular interest in order to generate complementary criteria for design and evaluation. Examples of criteria generated are: good conditions for users to become knowledgeable (support for perception, comprehension and information), differentiate between informative and performative parts, provide meta information (purpose and content).
Statistics A Tool For Social Research

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SHS of NbSi 2 : A Comparison Between Experiments and Simulations

Computer simulation results for the Self-propagating High-temperature Synthesis (SHS) of the intermetallic compound NbSi2 are discussed in comparison with experiments for SHS of mechanically activated powders. The variation of wave speed of the propagation front is considered while varying Nb grain size and thermal conductivity of the starting mixture. A co-operating effect of these two parameters (due to the change in morphology of reactants after milling) is outlined.
Wind Turbine Response across Scales : Simulation and Experiment

The denominator is impacted by spatio-temporal variability through the continual movements in sectional and whole blade performance around design points in blade pitch and rotor performance around design points in rotor yaw as the local and rotor-averaged wind vector changes in both magnitude and direction as turbulence eddies pass through the rotor plane. These impacts can be significant, for example, when blade sectional angles-of-attack exceed the threshold for attached blade boundary layer flow, an intermittent process that contributes to temporal rotor moment modulations that could contribute significantly to degradation of average power depending on the changing stability state of the lower troposphere during its diurnal and seasonal cycles, and depending on the level and sophistication of controls that modulate the relationships between variabilities in wind turbine parameters (blade pitch, generator torque) and spatio-temporal variabilities in wind velocity vector over the power-generating rotor disk.
Computation Offloading towards Edge Computing

We are living in a world where massive end devices perform computing everywhere and every day. However, these devices are constrained by the battery and computational resources. With the increasing number of intelligent applications (e.g., augmented reality and face recognition) which require much more computational power, they shift to perform computation offloading to the cloud, known as mobile cloud computing (MCC). Unfortunately, the cloud is usually far away from end devices, leading to a high latency as well as the bad quality of experience (QoE) for latency-sensitive applications. In this context, the emergence of edge computing is no coincidence. Edge computing extends the cloud to the edge of the network, close to end users, bringing ultra-low latency and high bandwidth. Consequently, there is a trend of computation offloading towards edge computing. In this paper, we provide a comprehensive perspective on this trend. Firstly, we give an insight into the architecture refactoring in edge computing. Based on that insight, the paper reviews the state of the art research on computation offloading, in terms of application partitioning, task allocation, resource management, and distributed execution, with highlighting features for edge computing. Then, we illustrate some disruptive application scenarios which we envision as critical drivers for the flourish of edge computing, such as real-time video analytics, smart “things” (e.g., smart city and smart home), vehicle applications, and cloud gaming. Finally, we discuss opportunities and future research directions.
Quantification of Protein and Amino Acid Composition in Some Oilseeds

The study investigated the levels of protein, energy, and moisture content as well as amino acid composition in some oilseed samples, using High Performance Liquid Chromatographic (HPLC) Technique, while other analysis were carried out using the standard methods of Association of official analytical chemists. All the samples were procured from Wukari market, Taraba State. The mean moisture content determined for the samples was at safe levels at the range (8.76±0.0141 9.75±0.0000 %). The highest protein level obtained (40.006±0.0078 %) was in Glycine max while the least was observed in Citrullus vulgaris (20.449±0.0233 %). Amino acids had the following range in the samples analysed such as: Glycine max (2.065±0.007-9.115±0.0070 g/100g), Sesamum indicum (Sesame seeds) (1.5±0.0141 9.11±0.0141 g/100g), Arachis hypogaea ((1.645±0.0070-9.710 g/100g), and Citrullus vulgaris seed samples (1.050±0.01418.150±0.0141 g/100g). The study revealed that Glycine max (Soybean seeds) had the highest level of energy and protein composition among all samples analysed, while the lowest was Citrullus vulgaris (Melon seeds). Based on the findings of this study, it can be concluded that soybeans can be utilized as an ideal source of protein for formulation of infant foods for quick recovery of infants and children suffering from Protein Energy Malnutrition (PEM).
A Novel Crowdsourcing Inference Method

With the fast growing of artificial intelligence (AI), more and more applications require querying uncertain data, especially from social media and crowd sourcing platform. In situations where it is impossible to increase data quality by controlling the sources, we may resort to algorithms to make the best use of the collected data. Since crowdsourcing provides a useful way to distributing tasks to mass people, and collects labels from as many workers as possible, many researchers have been study crowd source inference algorithms. In our work, we propose a novel crowd-sourcing inference algorithm to infer ground truth and obtain worker reliability and task difficulty at the same time. Keywords—Truth Inference; Crowdsourcing; Message Passing.
ANALYSIS OF ZERO-SLUMP CONCRETE MADE RECYCLED AGGREGATE FROM CONCRETE DEMOLITION WASTE

The use of recycled aggregates in zero slump concrete constitutes an important option to the management of construction and deconstruction waste; This concrete can be used like Roller Compacted Concrete RCC the required amount of recycled aggregates on pavements may be significant and its quality does not need to be very high. The objective of this paper is to evaluate the methodology to obtain good quality pavements using recycled aggregates. Factors such as optimal humidity, compaction level and minimum requirements of quality of recycled aggregate are being evaluated in order to study their final effect on the pavement produced. As a quality parameter, the effect of the recycled aggregates impurities in the final product will be also analyzed. The goal is to establish a selection and classification criteria of recycled aggregates that will be useful to found dosages to make roller compacted pavements according with the needs established in the design stage.
Serum levels of trace elements and vitamins in coronary artery disease and their predictive values

Background: The traditional risk factors of coronary artery disease (CAD) account for only 50% of the total risk of CAD. In addition to traditional risk factors, abnormal levels of trace elements and vitamins in human serum may be associated with CAD according to recent studies. However, the relationship between serum levels of trace elements and vitamins and CAD has still not been comprehensively analyzed, and their values in predicting CAD has still not been evaluated. Objective: To identify the independent risk factors of CAD and evaluate their values in predicting CAD. Methods: Serum levels of trace elements and vitamins were measured in 198 CAD patients and 396 healthy controls matched to these cases by gender and age at a ratio of 1:2. Univariate analysis was performed using chi-square test, and multivariate analysis was then performed with a backward stepwise logistic regression model for the variables with a P value less than 0.10 in univariate analysis. Predictive values of identified independent risk factors were evaluated with receiver operating characteristic (ROC) curve. Results: Univariate analysis showed that the serum levels of Fe, Cu, Cr and Pb were higher in CAD patients than in healthy controls (P<0.001), and the serum levels of Zn, Se, vitamin D3, vitamin B12 and FA were lower in CAD patients than in healthy controls (P<0.001). The serum levels of Mn, Co, Ni, V, vitamin A, vitamin C and vitamin E were not statistically different between CAD patients and healthy controls (P>0.05). Multivariate analysis showed that the serum level of Fe>1.71 mg/L, Cu>0.67 mg/L, Zn≤1.53 mg/L, Se≤1.10 mg/L, Pb>0.067 mg/L, vitamin D3≤36.47 μg/dL, vitamin B12≤68.41 μg/dL and FA≤13.57 μg/dL were independent risk factors of CAD. According to the area under curve (AUC), the serum level of Fe>1.71 mg/L, Zn≤1.08 mg/L, Se≤0.67 mg/L, vitamin B12≤68.41 μg/dL and FA≤13.57 μg/dL had moderate values (AUC>0.700) when applied in predicting CAD. Conclusions: Elevated serum levels of Fe, Cu and Pb and decreased serum levels of Zn, Se, vitamin D3, vitamin B12 and FA were independent risk factors of CAD, and moreover the serum levels of Fe, Zn, Se, vitamin B12 and FA could be applied in predicting CAD.
Effort , Wage Premia , and Reservation Wages : A Field Test of the Shirking and Sorting Efficiency Wage Models

This paper tests the shirking and adverse selection models of efficiency wage theory by investigating the relationship between effort, wages, and reservation wages in a US freelance online labor market, using a field experiment. The experimental design controls for many of the confounders that plague other tests of the efficiency wage theory. Additionally, it allows for a clean identification of the shirking and adverse selection models individually, in order to see which one is driving the efficiency wage effect. The results suggest causal effect of wages on effort that is due to incentive not to shirk, as well as an effect that is due to the selection of more able workers. The selection effect is stronger than the incentive effect. There appears to be heterogeneity in the way workers respond to incentives with workers that aim for longer tenures responding more positively. Dynamic effects are also detected, according to which a given worker provides more effort the more of her tenure is still ahead of her.
Compiler bug isolation via effective witness test program generation

Compiler bugs are extremely harmful, but are notoriously difficult to debug because compiler bugs usually produce few debugging information. Given a bug-triggering test program for a compiler, hundreds of compiler files are usually involved during compilation, and thus are suspect buggy files. Although there are lots of automated bug isolation techniques, they are not applicable to compilers due to the scalability or effectiveness problem. To solve this problem, in this paper, we transform the compiler bug isolation problem into a search problem, i.e., searching for a set of effective witness test programs that are able to eliminate innocent compiler files from suspects. Based on this intuition, we propose an automated compiler bug isolation technique, DiWi, which (1) proposes a heuristic-based search strategy to generate such a set of effective witness test programs via applying our designed witnessing mutation rules to the given failing test program, and (2) compares their coverage to isolate bugs following the practice of spectrum-based bug isolation. The experimental results on 90 real bugs from popular GCC and LLVM compilers show that DiWi effectively isolates 66.67%/78.89% bugs within Top-10/Top-20 compiler files, significantly outperforming state-of-the-art bug isolation techniques.
‘ Maximal ’ Affine Model of Convenience Yields Implied from Interest Rates and Commodity Futures ∗

We develop a three-factor Gaussian model of commodity spot prices, convenience yields and interest rates, which extends previous work in two ways. First, the model nests several (Brennan (1991), Gibson and Schwartz (1990), Schwartz (1997), Ross (1997), Schwartz and Smith (2000)) proposed specifications. Second, it allows for time-varying risk-premia. It appears that previous models implicitly restrict the unconditional correlation structure of commodity prices, convenience yields and interest rates. In particular, our model allows convenience yields to be a function of the spot price and interest rates. Using data on crude oil, copper, gold and silver commodity futures, we empirically estimate the model using maximum likelihood. We find both features of the model to be economically and empirically significant. In particular, for crude oil and copper we find strong evidence for spot-price level dependence in convenience yields, which implies mean-reversion in spot prices under the risk-neutral measure, and is consistent with the “theory of storage. ” We also find evidence for time-varying risk-premia, which implies mean-reversion of commodity prices under the physical measure albeit with different strength and long-term mean. The model thus disentangles the different sources of mean-reversion in spot commodity prices. The results suggest that the relative contribution of both effects (level dependent convenience yield vs. time-varying risk-premia) to mean reversion depends on the nature of the commodity. We find that for store-of-value commodities like gold and silver, the negative correlation between risk-premia and spot prices explains most of the mean reversion. For commodities that serve as inputs to production technologies like crude oil, the mean-reversion in spot prices is attributable also to the convenience yield. The results are robust to the inclusion of jumps in the spot dynamics. We illustrate the economic significance of the two sources of mean reversion with two simple examples. The spot-price level dependence in convenience yields has a substantial impact for option prices, while the time-varying risk-premia affect risk management decisions.
Social-P 2 P : Social Network-based P 2 P File Sharing System

A peer-to-peer (P2P) file sharing system provides a platform that enables users to share their files. Retrieving files efficiently and trustworthily in such a large and jumbled system is critically important. However, the issues of efficient searching and trustworthy searching have only been studied separately. Simply combining two separate strategies dealing with each issue doubles system overhead. In this paper, we first study trace data from Facebook and BitTorrent. Guided by the study observations, we propose a P2P system based on social networks for simultaneous efficient and trustworthy file sharing, namely Social-P2P. Social-P2P groups common-multi-interest nodes into a cluster and further connects socially close nodes within a cluster. The comparably stable nodes in each cluster form a DHT for inter-cluster file searching. A file query is forwarded to the cluster of the file by the DHT routing and then is forwarded along constructed connections within a cluster, which achieves high hit rate and reliable routing. Sharing files among socially close friends discourages nodes from providing faulty files since people are unlikely to risk their reputation in the real world. Experimental results show that by leveraging a social network, Social-P2P achieves highly efficient and trustworthy file sharing.