Miracle-dz/UniFAR-FTUs huggingface dataset:
Orka: A new technique to profile the energy usage of Android applications

The ever increasing complexity of mobile devices has opened new, exciting possibilities to both designers of applications and their end users. However, this technological improvement comes with an increase in power consumption, a drain that battery technology has not managed to keep up with. Due to this, application developers are now facing a new optimisation challenge not present for traditional software: minimising energy usage. Developers need guidance to help reduce energy usage while not compromising on the features of their application. Despite research identifying areas of code consuming high energy, developers currently don't possess the necessary tools to make judgements on their application's design based on this. This paper presents Orka, a new tool that analyses an Android application and provides feedback on exactly where the application is expanding energy, thus enabling developers to improve its energy-efficiency. Orka profiles an application using user-defined test cases, code injection techniques and bytecode analysis. Feedback provided is the energy usage at the method level as well as any consumption due to hardware used. Moreover, to be useful over the entire development life-cycle, this feedback is compared with feedback from previous versions of the application so as to monitor and improve the energy usage.
Plan Debugging in an Intentional System

We have developed a model-based approach to learning from plan failures in which an agent uses a model of itself to determine where in its planning or execution the cause of a failure lies. We believe that such an approach constitutes the most promising basis for developing learning models that are capable of decid ing for themselves what needs to be learned from a given experience. In addit ion, such methods appear capable of learning about planning at a very abstract level, and thus of supporting the transfer of knowledge from experience in one domain or task to other domains or tasks.
It's a TRaP: Table Randomization and Protection against Function-Reuse Attacks

Code-reuse attacks continue to evolve and remain a severe threat to modern software. Recent research has proposed a variety of defenses with differing security, efficiency, and practicality characteristics. Whereas the majority of these solutions focus on specific code-reuse attack variants such as return-oriented programming (ROP), other attack variants that reuse whole functions, such as the classic return-into-libc, have received much less attention. Mitigating function-level code reuse is highly challenging because one needs to distinguish a legitimate call to a function from an illegitimate one. In fact, the recent counterfeit object-oriented programming (COOP) attack demonstrated that the majority of code-reuse defenses can be bypassed by reusing dynamically bound functions, i.e., functions that are accessed through global offset tables and virtual function tables, respectively. In this paper, we first significantly improve and simplify the COOP attack. Based on a strong adversarial model, we then present the design and implementation of a comprehensive code-reuse defense which is resilient against reuse of dynamically-bound functions. In particular, we introduce two novel defense techniques: (i) a practical technique to randomize the layout of tables containing code pointers resilient to memory disclosure and (ii) booby trap insertion to mitigate the threat of brute-force attacks iterating over the randomized tables. Booby traps serve the dual purpose of preventing fault-analysis side channels and ensuring that each table has sufficiently many possible permutations. Our detailed evaluation demonstrates that our approach is secure, effective, and practical. We prevent realistic, COOP-style attacks against the Chromium web browser and report an average overhead of 1.1% on the SPEC CPU2006 benchmarks.
VisionWand: interaction techniques for large displays using a passive wand tracked in 3D

A passive wand tracked in 3D using computer vision techniques is explored as a new input mechanism for interacting with large displays. We demonstrate a variety of interaction techniques that exploit the affordances of the wand, resulting in an effective interface for large scale interaction. The lack of any buttons or other electronics on the wand presents a challenge that we address by developing a set of postures and gestures to track state and enable command input. We also describe the use of multiple wands, and posit designs for more complex wands in the future.
A high energy intake from dietary fat among middle-aged and older adults is associated with increased risk of malnutrition 10 years later

Abstract A higher fat content in the diet could be an advantage for preventing malnutrition among older adults. However, there is sparse scientific evidence to determine the optimal fat intake among older adults. This prospective cohort study examined whether a high energy intake of dietary fat among middle-aged and older adults is associated with the risk of malnutrition 10 years later. The study population comprised 725 Swedish men and women aged 53–80 years who had completed a questionnaire about dietary intake and lifestyle factors in 1997 (baseline) and whose nutritional status was assessed when admitted to the hospital in 2008–2009 (follow-up). At the follow-up, 383 (52·8 %) participants were identified as being at risk of malnutrition and fifty-two (7·2 %) were identified as malnourished. Multinomial logistic regression models were used to analyse the association between previous dietary fat intake and nutritional status later in life. Contrary to what was expected, a high energy intake from total fat, saturated fat and monounsaturated fat among middle-aged and older adults increased the risk of exhibiting malnutrition 10 years later. However, this applied only to individuals with a BMI<25 kg/m2 at the baseline. In conclusion, these findings suggest that preventive actions to counteract malnutrition in older adults should focus on limiting the intake of total fat in the diet by reducing consumption of food with a high content of saturated and monounsaturated fat.
A fast circadian clock at high temperatures is a conserved feature across Arabidopsis accessions and likely to be important for vegetative yield

The circadian clock is an endogenous 24 h oscillator regulating many critical biological processes in plants. One of the key characteristics of the circadian clock is that it is buffered against temperature, maintaining an approximately 24 h rhythm over a broad physiological temperature range. Here, we tested temperature-buffering capacity of the circadian clock across a number of Arabidopsis accessions using several circadian clock reporters: leaf movement, CCA1 : LUC and LHY : LUC. We found that leaf movement was the best temperature buffered circadian output. On the other hand, when temperature increases, circadian rhythms of CCA1 and LHY transcription shorten considerably across all accessions, indicating that the clock driving expression of CCA1 and LHY is not perfectly buffered. This feature might be crucial to plants growing in a constantly changing environment, and here, we provide insight into the importance of period shortening to plant growth performance and the benefits of a flexible clock.
Condition diagnosis of oil-paper insulation during the accelerated electrical aging test based on polarization and depolarization current

The oil-paper insulation is the main insulation for oil-impressed transformers. Its insulation condition can affect the secure and stable operation of transformers. In this paper, condition assessment of oil-paper insulation during accelerated electrical aging is investigated based on polarization and depolarization relaxation current (PDC) method. The samples of oil and paper were selected from the same manufacturer and pretreated before the test. The electric field applied to the samples of electrical aging was 10kV/mm and the aging time was set as 0h, 20h, 40h, 60h, 80h and 100h. The aging degree of samples is evaluated with PDC method. Firstly, the polarization and depolarization relaxation currents were measured during the aging process, respectively. The relaxation currents increased after accelerated electrical aging. The traps distribution of the oil-paper insulation was evaluated based on the analysis of relaxation current. The result shows that the trap density and depth will increase during the aging process, and it causes an increase in the amount of charge in both polarization and depolarization periods. Then, a relaxation model in time domain is built based on the information acquired from the experiment.
Linking Information Technology and Corporate Strategy: an Organizational View

Considerable attention is currently focused on using information technology to obtain and maintain competitive advantage. Numerous mini-cases have been used to illustrate the use of information systems for competitive advantage, and various conceptual frameworks have been proposed to aid in the identification of such applications. Much of this work is grounded in a single concept of strategy formulation, an approach that we refer to as "top-down. " A survey of senior information system executives demonstrates the potential problems of relying on a top-down approach. A second, "adaptive" approach, appears to offer potential value for the identification of competitive applications in organizations facing considerable environmental turbulence or in which senior strategists are relatively uninformed about information system resources. Five organizational roles are defined that can help support this adaptive approach. cover of widely read business magazines INTRODUCTION (Fortune. 1985; Business Week, 1985). Continued decline in the unit cost of computer Such attention is welcome legitimization for inhardware and steady improvement in the flexiformation systems managers who have worked bility and power of computer software have led for years to communicate the exciting potential to dramatic growth in the use of information of information technology. But management's technology in American business. Applications new interest in competitive information systems have proliferated rapidly beyond corporate walls presents a difficult challenge for information to encompass suppliers, distributors and consystems managers, who frequently find themsumers, and consequently, some applications of selves charged with responsibility for identifying information technology have acquired the uland implementing strategic applications. Altimate label of respectability: they are called though management attention has been focused "strategic" in business journals (McFarlan, on the potential of competitive information sys1985), and featured within, and even on the tems, there is a dearth of practical, and even
Detecting Intentional Lexical Ambiguity in English Puns

The article describes a model of automatic analysis of puns, where a word is intentionally used in two meanings at the same time (the target word). We employ Roget's Thesaurus to discover two groups of words which, in a pun, form around two abstract bits of meaning (semes). They become a semantic vector, based on which an SVM classifier learns to recognize puns, reaching a score 0.73 for F-measure. We apply several rule-based methods to locate intentionally ambiguous (target) words, based on structural and semantic criteria. It appears that the structural criterion is more effective, although it possibly characterizes only the tested dataset. The results we get correlate with the results of other teams at SemEval-2017 competition (Task 7 Detection and Interpretation of English Puns) considering effects of using supervised learning models and word statistics.
Human Cytomegalovirus Entry into Dendritic Cells Occurs via a Macropinocytosis-Like Pathway in a pH-Independent and Cholesterol-Dependent Manner

Human cytomegalovirus (HCMV) is a ubiquitous herpesvirus that is able to infect fibroblastic, epithelial, endothelial and hematopoietic cells. Over the past ten years, several groups have provided direct evidence that dendritic cells (DCs) fully support the HCMV lytic cycle. We previously demonstrated that the C-type lectin dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin (DC-SIGN) has a prominent role in the docking of HCMV on monocyte-derived DCs (MDDCs). The DC-SIGN/HCMV interaction was demonstrated to be a crucial and early event that substantially enhanced infection in trans, i.e., from one CMV-bearing cell to another non-infected cell (or trans-infection), and rendered susceptible cells fully permissive to HCMV infection. Nevertheless, nothing is yet known about how HCMV enters MDDCs. In this study, we demonstrated that VHL/E HCMV virions (an endothelio/dendrotropic strain) are first internalized into MDDCs by a macropinocytosis-like process in an actin- and cholesterol-dependent, but pH-independent, manner. We observed the accumulation of virions in large uncoated vesicles with endosomal features, and the virions remained as intact particles that retained infectious potential for several hours. This trans-infection property was specific to MDDCs because monocyte-derived macrophages or monocytes from the same donor were unable to allow the accumulation of and the subsequent transmission of the virus. Together, these data allowed us to delineate the early mechanisms of the internalization and entry of an endothelio/dendrotropic HCMV strain into human MDDCs and to propose that DCs can serve as a "Trojan horse" to convey CMV from entry sites to other locations that may favor the occurrence of either latency or acute infection.
Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies

Electronic health records (EHR) provide a comprehensive resource for discovery, allowing unprecedented exploration of the impact of genetic architecture on health and disease. The data of EHRs also allow for exploration of the complex interactions between health measures across health and disease. The discoveries arising from EHR based research provide important information for the identification of genetic variation for clinical decision-making. Due to the breadth of information collected within the EHR, a challenge for discovery using EHR based data is the development of high-throughput tools that expose important areas of further research, from genetic variants to phenotypes. Phenome-Wide Association studies (PheWAS) provide a way to explore the association between genetic variants and comprehensive phenotypic measurements, generating new hypotheses and also exposing the complex relationships between genetic architecture and outcomes, including pleiotropy. EHR based PheWAS have mainly evaluated associations with case/control status from International Classification of Disease, Ninth Edition (ICD-9) codes. While these studies have highlighted discovery through PheWAS, the rich resource of clinical lab measures collected within the EHR can be better utilized for high-throughput PheWAS analyses and discovery. To better use these resources and enrich PheWAS association results we have developed a sound methodology for extracting a wide range of clinical lab measures from EHR data. We have extracted a first set of 21 clinical lab measures from the de-identified EHR of participants of the Geisinger MyCodeTM biorepository, and calculated the median of these lab measures for 12,039 subjects. Next we evaluated the association between these 21 clinical lab median values and 635,525 genetic variants, performing a genome-wide association study (GWAS) for each of 21 clinical lab measures. We then calculated the association between SNPs from these GWAS passing our Bonferroni defined p-value cutoff and 165 ICD-9 codes. Through the GWAS we found a series of results replicating known associations, and also some potentially novel associations with less studied clinical lab measures. We found the majority of the PheWAS ICD-9 diagnoses highly related to the clinical lab measures associated with same SNPs. Moving forward, we will be evaluating further phenotypes and expanding the methodology for successful extraction of clinical lab measurements for research and PheWAS use. These developments are important for expanding the PheWAS approach for improved EHR based discovery.
Arabic Text Watermarking: A Review

The using of the internet with its technologies and applications have been increased rapidly. So, protecting the text from illegal use is too needed . Text watermarking is used for this purpose. Arabic text has many characteristics such existing of diacritics , kashida (extension character) and points above or under its letters . Each of Arabic letters can take different shapes with different Unicode. These characteristics are utilized in the watermarking process. In this paper, several methods are discussed in the area of Arabic text watermarking with its advantages and disadvantages . Comparison of these methods is done in term of capacity, robustness and Imperceptibility.
A Spatiotemporal Motion-Vector Filter for Object Tracking on Compressed Video

In this paper, a novel filter for real-time object trackingfrom compressed domain is presented and evaluated. Thefilter significantly reduces the noisy motion vectors, that donot represent a real object movement, from Mpeg familycompressed videos. The filter analyses the spatial (neighborhood)and temporal coherence of block motion vectorsto determine if they are likely to represent true motion fromthe recorded scene. Qualitative and quantitative experimentsare performed displaying that the proposed spatiotemporalfilter (STF) outperforms the currently widelyused vector median filter. The results obtained with the spatiotemporalfilter make it suitable as a first step of any systemthat aims to detect and track objects from compressedvideo using its motion vectors.
Toward a Comparative Cognitive History: Archimedes and D. H. J. Polymath

Is collective intelligence just individual intelligence writ large, or are there fundamental differences? This position paper argues that a cognitive history methodology can shed light into the nature of collective intelligence and its differences from individual intelligence. To advance this proposed area of research, a small case study on the structure of argument and proof is presented. Quantitative metrics from network science are used to compare the artifacts of deduction from two sources. The first is the work of Archimedes of Syracuse, putatively an individual, and of other ancient Greek mathematicians. The second is work of the Polymath Project, a massively collaborative mathematics project that used blog posts and comments to prove new results in combinatorics.
A New Set of Measurements for the Materialism Scale

Materialism has always been a popular factor in marketing and consumer research. Until now, many researchers have still favoured Belk's materialism traits (1985) or Richins and Dawson materialism scale (1992) in their works. However, previous literature suggested that the existing measurement did not capture the material distinctiveness of consumers (Atay and Sirgy, 2009; Mason, 2001). According to Mason (2001), materialistic consumers use their possessions to stand out of the crowd. Furthermore, recent failures of the existing materialism scales in explaining luxury brands related consumption have raised the question of whether it is time to review these measurements (Swami et al., 2009, Furnham and Valgeirsson, 2007). Working on the idea of materialism scale (Richins and Dawson, 1992) this paper presents a new 16-item scale developed to measure four components of materialism – namely material success, material happiness, material essentiality and material distinctiveness – and empirical evidence to support its validity.
A JVM for soft-error-prone embedded systems

The reduction of structure sizes in microcontollers, environmental conditions or low supply voltages increase the susceptibility of embedded systems to soft errors. As a result, the employment of fault-detection and fault-tolerance measures is becoming a mandatory task even for moderately critical applications. Accordingly, software-based techniques have recently gained in popularity, and a multitude of approaches that differ in the number and frequency of tolerated errors as well as their associated overhead have been proposed. Using type-safe programming languages to isolate critical software components is very popular among those techniques. An automated application of fault-detection and fault-tolerance measures based on the type system of the programming language and static code analyses is possible. It facilitates an easy evaluation of the protection characteristics and costs, as well as the migration of software to new hardware platforms with different failure rates. Transient faults, however, are not bound to the application code secured by the type system, but can also affect the correctness of the type system itself. Thereby, the type system might lose its ability to isolate critical components. As a consequence, it is essential to also protect the type system itself against soft errors. In this paper, we show how soft errors can affect the integrity of the type system. Furthermore, we provide means to secure it against these faults, thus preserving its isolating character. These measures can be applied selectively to achieve a suitable tradeoff between level of protection and resource consumption.
Spatial random downscaling of rainfall signals in Andean heterogeneous terrain

Abstract. Remotely sensed data are often used as proxies for indirect precipitation measures over data-scarce and complex-terrain areas such as the Peruvian Andes. Although this information might be appropriate for some research requirements, the extent at which local sites could be related to such information is very limited because of the resolution of the available satellite data. Downscaling techniques are used to bridge the gap between what climate modelers (global and regional) are able to provide and what decision-makers require (local). Precipitation downscaling improves the poor local representation of satellite data and helps end-users acquire more accurate estimates of water availability. Thus, a multifractal downscaling technique complemented by a heterogeneity filter was applied to TRMM (Tropical Rainfall Measuring Mission) 3B42 gridded data (spatial resolution ~ 28 km) from the Peruvian Andean high plateau or \textit{Altiplano} to generate downscaled rainfall fields that are relevant at an agricultural scale (spatial resolution ~ 1 km).