Miracle-dz/UniFAR-FTUs huggingface dataset:
Resilient Aggregation in Simple Linear Sensor Networks

A sensor network is a network comprised of many small, wireless, resourcelimited nodes that sense data about their environment and report readings to a base station. One technique to conserve power in a sensor network is to aggregate sensor readings hop-by-hop as they travel towards a base station, thereby reducing the total number of messages required to collect each sensor reading. In an adversarial setting, the ability of a malicious node to alter this aggregate total must be limited. We present three aggregation protocols inspired by three natural key pre-distribution schemes for linear networks. Assuming no more than k consecutive nodes are malicious, each of these protocols limits the capability of a malicious node to altering the aggregate total by at most a single valid sensor reading. Additionally, our protocols are able to detect malicious behavior as it occurs, allowing the protocol to be aborted early, thereby conserving energy in the remaining nodes. A rigorous proof of security is also given for each protocol.
3PI experiment: immersion in third-person view

In this paper, we present the results of the "3PI Experiment" project. The objective of this project is to propose and evaluate an immersive interface based on a third-person view from a video camera, that can be used in augmented reality games. Since this type of interface has not been explored in games, a prototype involving interaction through navigation was developed and employed to assess the impact of the proposed interface on gameplay experience. Different user interface evaluation methods such as cognitive walkthroughs, automatic data collection and questionnaires were combined. It was possible to determine that the proposed interface caused no significant discomfort and had a short learning time, making it suitable for use in games.
Convergence of Common Proximal Methods for L1-Regularized Least Squares

We compare the convergence behavior of ADMM (alternating direction method of multipliers), [F]ISTA ([fast] iterative shrinkage and thresholding algorithm) and CD (coordinate descent) methods on the model l1-regularized least squares problem (aka LASSO). We use an eigenanalysis of the operators to compare their local convergence rates when close to the solution. We find that, when applicable, CD is often much faster than the other iterations, when close enough to the solution. When far from the solution, the spectral analysis implies that one can often get a sequence of iterates that appears to stagnate, but is actually taking small constant steps toward the solution. We also illustrate how the unaccelerated ISTA algorithm can sometimes be faster compared to FISTA when close enough to the solution.
SOCIAL NETWORKS AS CORRELATES OF VIOLENCE AMONG SECONDARY SCHOOL STUDENTS IN SOKOTO METROPOLIS: IMPLICATIONS FOR STEM EDUCATION IN NIGERIA

The paper focused on the social networks as correlates of violence among secondary school students in Sokoto metropolis: implications for stem education in Nigeria. The population consists of all the senior secondary school students in Sokoto metropolis, 361 respondents were selected using research advisor 2006, with descriptive correlational research design. Researchers designed questionnaire titled social networks and violence among youth, frequency, percentages and Pearson product moment correlation coefficient were used in analyzing the data for the study. Findings revealed that there is significant relationship between social networks and violence among secondary school students in Sokoto metropolis, some recommendations were made to include; Secondary school teachers should monitor and stop their students from using social networks in schools through enforcing laws that would aimed at stopping students from using handset always as well as regulating their access to internet.
Tangible User Interfaces for Creative Problem Solving, Collaboration, and Learning

The objective behind Tangible User Interfaces (TUIs) is to allow users to interact with computers through familiar tangible objects, thereby taking advantage of the richness of the tactile world combined with the power of computer-based simulations. TUIs give physical form to digital information, employing physical artifacts both as representations and controls for computational media. They lend themselves well to collaboration around intelligent tables, or what we call tabletop interaction. At the t2i Lab at Chalmers, we are expanding the boundaries of interactive technology. We do this primarily by constructing TUIs and tabletop, large-display User Interfaces (UI). These can be used in creative problem solving, collaborative work, and science education. Fields of knowledge at the t2i Lab include software (SW) for multimodal UIs, sensors and actuators, analogue and digital hardware (HW), vision-based tracking system utilizing infrared (IR), and visible light. Further areas of investigation are six-degrees-of-freedom (6DOF) UIs, automatic user analysis, and cognitive-perceptual issues.
Cardiotoxicity of Anticancer Drugs: The Need for Cardio-Oncology and Cardio-Oncological Prevention

Due to the aging of the populations of developed countries and a common occurrence of risk factors, it is increasingly probable that a patient may have both cancer and cardiovascular disease. In addition, cytotoxic agents and targeted therapies used to treat cancer, including classic chemotherapeutic agents, monoclonal antibodies that target tyrosine kinase receptors, small molecule tyrosine kinase inhibitors, and even antiangiogenic drugs and chemoprevention agents such as cyclooxygenase-2 inhibitors, all affect the cardiovascular system. One of the reasons is that many agents reach targets in the microenvironment and do not affect only the tumor. Combination therapy often amplifies cardiotoxicity, and radiotherapy can also cause heart problems, particularly when combined with chemotherapy. In the past, cardiotoxic risk was less evident, but it is increasingly an issue, particularly with combination therapy and adjuvant therapy. Today's oncologists must be fully aware of cardiovascular risks to avoid or prevent adverse cardiovascular effects, and cardiologists must now be ready to assist oncologists by performing evaluations relevant to the choice of therapy. There is a need for cooperation between these two areas and for the development of a novel discipline, which could be termed cardio-oncology or onco-cardiology. Here, we summarize the potential cardiovascular toxicities for a range of cancer chemotherapeutic and chemopreventive agents and emphasize the importance of evaluating cardiovascular risk when patients enter into trials and the need to develop guidelines that include collateral effects on the cardiovascular system. We also discuss mechanistic pathways and describe several potential protective agents that could be administered to patients with occult or overt risk for cardiovascular complications.
DESIGN OF CARTOGRAPHIC PRODUCTS TO SUPPORT DISASTER MANAGEMENT

Special cartographic outputs are required by the disaster management. Such 2D, 3D and/or 4D territory models have to present area features important for: 1. understanding the accident wider territory layout, 2. personal orientation in the territory (landscape landmarks), 3. direct disaster location surroundings imagination, 4. assessment of area features important (and sensitive) for disaster behavior and development (Fig. 1), 5. viewing access routes (Fig. 2), 6. selection of appropriate measures for a) human lives protection, b) property protection, c) environment protection, 7. possible calculation of endangered values, 8. future adjustment of preventive measures. Respecting these viewpoints a set of map and 3D area models were developed using commonly accessible digital geodata from public and government data bases open for disaster management teams in Czech Republic. 3D model animation and flights over the territory make such outputs very suitable for operative and long-term decision making. The formalized geographic expert knowledge and standard GIS technology serve and support such special cartographic production.
Still Pictures as a Form of Learning

This article describes a history lesson in which pupils working with still pictures studied the history of ancient Egypt. The aim of the article is to present the educational potential of a specific didactic method applying the psychosomatic unity of body and mind in order to inspire creativity in pupils. A necessary condition for creating still pictures is team cooperation.
Science Technology and Engineering Teachers’ Emotional Intelligence Vis-à-vis Classroom Management

This study aimed to determine the relationship of emotional intelligence of science STE teachers’ with their classroom management. This study used descriptive-correlational using survey questionnaire with total population sampling who are offering Science, Technology and Engineering curriculum in Region 1, Philippines with 113 respondents. Point-biserial was used to look at the relationship of the variables. The result was there is no significant relationship between science STE teachers EI and their classroom management. The following conclusion is drawn: Science STE teachers’ classroom management approach is not affected by their EI and vice versa.
Constructing ethnic identification variables of Malay, Chinese and Iban

This paper sets out to measure ethnic identification variables in a Malaysian context. Seven most widely accepted constructs of ethnic identity, language, friendship networks, religious affiliation, participation in clubs and organizations, endogamy, food preference and traditional celebrations were translated into nine constructs. Data collected was analyzed using exploratory factor analysis on three ethnic groups, Malay, Chinese and Iban in Malaysia. The findings indicate that “my language” and “my friends” can measure ethnic identification strength, with a caveat for religion for Malays.
DAG: A Model for Privacy Preserving Computation

Secure multi-party computation (SMC) allows parties to jointly compute a function over their inputs, while keeping every input confidential. It has been extensively applied in privacy-preserving computation, such as privacy-preserving data mining (PPDM), to protect data privacy. However, most SMC-based solutions are ad-hoc. They are proposed for specific applications, and thus cannot be applied to other applications directly. To address this issue, we propose a privacy model DAG (Directed A cyclic Graph) that consists of a set of secure operators (e.g., Multiplication and division). Our DAG model is general -- its operators, if pipelined together, can implement various functions. It is also extendable -- secure operators can be defined to add new features to the model. As an application study, we have applied our DAG to kernel regression. Experiments on datasets of more than 680,000 tuples show that our DAG model is effective and its running time is nearly thrice that of non-privacy setting, where parties directly disclose data.
Mechanisms of photosensitization induced by drugs: A general survey

This paper presents a general survey of the mechanisms involved in drug phototoxicity. Moreover, a list of 174currently used clinical drugs inducing photosensitization is provided in addition to some others from which phototoxiceffects are suspected. Likewise, some aspects related to the mechanisms involved in the phototoxicity of fluoroquinolonesand non steroidal-antiinflammatory drugs have been reviewed. Finally, a possible role of the arenediazonium ionsas photosensitisers is discussed.
Robotic rehabilitation system using human hand trajectory generation model in virtual curling task

The present paper integrates a computational model of human hand trajectory generation in the virtual curing into a robotic rehabilitation system for upper limbs to assist and teach smooth movements depending on task conditions. In training, a trainee manipulates the handle of an impedance-controlled robot to move a virtual stone to the center of a circular target on the ice while predicting transient behaviors of the released stone. A reference hand motion is clarified through a set of preliminary experiments with well-trained subjects for different task conditions and computationally expressed in the framework of a minimum jerk model with task-related constraints. Training experiments with novice healthy volunteers demonstrates the effectiveness of the proposed approach that presents the reference motion produced by the computational model to a trainee in assisting and training the smoothness of hand movements.
RNA-Seq Read Simulator Using SAM Template

Sequencing technologies, which generate read segments from reference genes, have been diversified significantly with the introduction of the Next Generation Sequencer. Despite of its efficiency in terms of time and cost compared to the previous one, it is still too expensive to conduct a bunch of experiments consequently or to reflect particular biological specificity in the experimental settings. To deal with this problem, there have been developed some simulators that generates reads reflecting specific biological characteristics. However, there is still a lack of the consideration of some other important statistical quantities such as gene expression levels in read simulation. After giving a brief review on state-of-the-art read simulators focusing on their sequencing method and functional characteristics, this paper presents a new read simulation method considering gene expression structures. The proposed method extracts the statistical information from SAM files that contain read mapping results, and generates synthetic reads having the analyzed characteristics. We also demonstrate the effectiveness of the proposed method by comparing simulated data with the real data.
HealthTrust: trust-based retrieval of you tube's diabetes channels

The Internet has become one of the main sources of consumer health information. Health consumers have access to ever-growing health information resources, especially since the rise of the Social Media. For example, over 20.000 videos have been uploaded by American hospitals on to YouTube. To find health videos is challenging because of factors like tags spamming and misleading information. Previous studies have found difficulties when searching for good health videos in YouTube, including false information (e.g., herbal cures for diabetes or cancer). Our objective was to extract information about the trustworthiness of the diabetes YouTube's channels using link analysis of the diabetes online community by developing an algorithm, called HealthTrust, based on Hyperlink-Induced Topic Search (HITS) for ranking the most authoritative diabetes channels. The ranked list of channels from HealthTrust was compared with the list of the most relevant diabetes channels from YouTube. Two healthcare professionals made a blinded classification of channels based on whether they would recommend the channel to a patient. HealthTrust performed better for retrieving channels recommended by the professional reviewers. HealthTrust performed several times better than YouTube for filtering out the worst channels (i.e., those not recommended by any expert reviewer).
A proposed approach for setting occupational exposure limits for sensory irritants based on chemosensory models.

OBJECTIVES Setting occupational exposure limits (OELs) for odorous or irritating chemicals is a global occupational health challenge. However, often there is inadequate knowledge about the toxicology of these chemicals to set an OEL and their irritation potencies are usually not recognized until they are manufactured or used in large quantities. METHODS In this paper, the importance of accounting for risk perception and communication; conditioned responses; and interindividual variability in tolerance, detection and susceptibility with respect to setting an OEL are discussed in relation to three chemosensory models. These parameters and models were then used to construct a flowchart-style methodology that can be used to set an OEL for a specific chemical. RESULTS The OEL identified for a chemical odorant or irritant will depend on the type of chemosensory effect that the chemical is likely to exhibit. For example, experience has shown that chemicals with a low odor threshold often require low OELs even though many are not toxic or do not cause irritation at those air concentrations. CONCLUSION In order to establish the appropriate OEL, organizations need to agree upon the percentage of the workforce that they are attempting to protect and the types of toxicological end points that are sufficiently important to protect against (e.g. transient eye irritation, enzyme induction or other reversible effects). This is particularly true for sensory irritants. The method described in this paper could also be extended to setting limits for ambient air contaminants where risk perception plays a dominant role in whether the public views the exposure as being reasonable or safe.
Learning a music similarity measure on automatic annotations with application to playlist generation

This paper presents an approach to learn a better music similarity measure and presents an application to music playlist generation. Different from previous work, in our approach, automatically detected music attributes are used to represent each song. A set of kernels is employed in similarity measure, with each kernel measuring on a subset of music attributes and having a different importance weight. In automatic music playlist generation, a ranking method is presented, which considers multiple seed songs and possible outlier seed. Experiments show the effectiveness of the proposed approach, and the quality of the playlist generated based on automatic annotations is comparable to that based on manual annotations.
Correlation Dynamics of Quantum Fields and Black Hole Information Paradox

In recent years a statistical mechanics description of particles, fields and spacetime based on the concept of quantum open systems and the influence functional formalism has been introduced. It reproduces in full the established theory of quantum fields in curved spacetime and contains also a microscopic description of their statistical properties, such as noise, fluctuations, decoherence, and dissipation. This new framework allows one to explore the quantum statistical properties of spacetime at the interface between the semiclassical and quantum gravity regimes, as well as important non-equilibrium processes in the early universe and black holes, such as particle creation, entropy generation, galaxy formation, Hawking radiation, gravitational collapse, backreaction and the black hole end-state and information lost issues. Here we give a summary of the theory of correlation dynamics of quantum fields and describe how this conceptual scheme coupled with scaling behavior near the infrared limit can shed light on the black hole information paradox. Lectures given at the International School of Astrophysics “D. Chalonge”: String Gravity and Physics at the Planck Energy Scale, Erice, Sept. 1995. Proceedings edited by N. Sanchez, (World Scientific, Singapore, 1996) Email: hu@umdhep.umd. edu
Embedded pilot and multi-size OFDM processing for jointly time and frequency selective channels

An embedded pilot signal structure is presented that allows simultaneous processing for time-, and frequency-selective channel variations. The pilot signal is added to an OFDM data signal in the time domain and allows for variable power allocation to the pilot. The structure of the signal shows up as a tone comb in the frequency domain which allows for doppler tracking. It is shown that exact tone interpolation for the data carriers can be achieved as long as the channel's impulse response does not exceed the duration of a period of the pilot signal. Finally, pilots can be allocated in a frequency-division mode to multiple transmitters for MIMO or joint detection applications, avoiding the problem of pilot contamination.
Self-reported and directly observed physical function and anxiety symptoms in community-dwelling US Chinese older adults: Findings from the PINE study.

Background: The association between physical function and anxiety symptoms has been widely discussed, but remains unclear. This study aims to examine the association between both self-reported and performance-based measures of physical function and anxiety symptoms in a community-dwelling population of Chinese older adults. Methods: Data were derived from the Population Study of Chinese Elderly (PINE), a community-engaged, population-based epidemiological study of U.S. Chinese older adults aged 60 and above in the Greater Chicago area. Anxiety symptoms were measured by the anxiety subscale from the Hospital Anxiety and Depression Scale. Results: Every one point higher in ADL impairment (OR: 1.23, 1.09-1.39), IADL impairment (OR: 1.17, 1.12-1.22), Index of Mobility scale (OR: 1.30, 1.19-1.42) and Index of Basic Physical Activities scale (OR: 1.09, 1.06-1.11), and lower levels of physical performance (OR: 1.13, 1.09-1.16) were associated with higher risk for anxiety symptoms. Discussion: This study goes beyond prior studies by examining both self-reported and performance-based physical function and anxiety symptoms. The result suggests higher levels of self-reported physical function impairment and lower levels of physical performance are associated with higher risk of anxiety symptoms among community-dwelling U.S. Chinese older adults, which is contrary to studies in other culture. Cross-cultural research is needed to examine the association between physical function and anxiety symptoms under different contexts.
Distortion Risk Measures : Coherence and Stochastic Dominance

In this paper it is proved that a concave distortion function is a necessary and sufficient condition for coherence, and a strictly concave distortion function is a necessary and sufficient condition for strict consistency with second order stochastic dominance. The results are related to current risk measures used in practice, such as value-at-risk (VaR) and the conditional tail expectation (CTE), also known as tail-VaR and to Wang’s premium principles.
Non-suicidal self-injury in a sample of university students in Tehran, Iran: prevalence, characteristics and risk factors

ABSTRACT Despite increased empirical and clinical attention to non-suicidal self-injury (NSSI) in Western countries, far less is known about NSSI in non-Western cultures. This study is the first to investigate the prevalence, characteristics and risk factors of NSSI in a sample of university students in Tehran, Iran. All participants (n = 554, mean age = 22.65, 57.2% female) were asked to self-report on NSSI over their lifetime. The Difficulties in Emotion Regulation Scale, Depression Anxiety Stress Scales, and Suicidal Behaviors Questionnaire-Revised were employed. A lifetime NSSI prevalence of 12.3% (n = 68) was found with no gender differences. Using logistic regression, lack of emotional awareness remained negatively significant for females after controling for anxiety, depression and suicidality; however, after controlling for the psychological symptoms, no relations were found between emotion dysregulation and a history of lifetime NSSI for male students. In a separate logistic regression, lifetime NSSI predicted suicide attempt above and beyond depressive symptoms and suicidal ideation across gender. Our results on the relations between emotion dysregulation and lifetime NSSI contradict the ample research in the West, emphasizing emotion dysregulation as a risk factor of NSSI and suggest that this relation might vary across cultures. The results are situated within the sociocultural context and compared and contrasted with Western data.