Miracle-dz/UniFAR-FTUs huggingface dataset:
Online Processing of Social Media Data for Emergency Management

Social media offers an opportunity for emergency management to identify issues that need immediate reaction. To support the effective use of social media, an analysis approach is needed to identify crisis-related hotspots. We consider in this investigation the analysis of social media (i.e., Twitter, Flickr and YouTube) to support emergency management by identifying sub-events. Sub-events are significant hotspots that are of importance for emergency management tasks. Aiming at sub-event detection, recognition and tracking, the data is processed online in real-time. We introduce an incremental feature selection mechanism to identify meaningful terms and use an online clustering algorithm to uncover sub-events on-the-fly. Initial experiments are based on tweets enriched with Flickr and YouTube data collected during Hurricane Sandy. They show the potential of the proposed approach to monitor sub-events for real-world emergency situations.
Achieving lightweight, time-specific and secure access control in cloud storage

Cloud computing is regarded as a promising computing paradigm. More and more people store their sensitive data on the cloud. However, it is a great challenge for data security and accessing the sensitive data on the cloud. In this paper, we propose a novel access control scheme, termed LTS-ACCESS, which achieves Lightweight, Time-specific and Secure data access control for resource-limited devices in cloud storage. Our LTS-ACCESS simultaneously enjoys the following properties: i) constant size of the decryption keys and lower computation cost since we delegate almost all of the decryption cost to the decryption service provider, ii) time-specific, the sensitive data owner may specify a time interval, thus a receiver can decrypt the ciphertext once it is received and a time instant key has been obtained, and iii) provably secure, the proposed scheme is provably secure under the selective security model. Thoroughly theoretical analysis and performance evaluation indicate the effectiveness and efficiency of our proposed LTS-ACCESS.
Anodic Oxidation of Etodolac and its Linear Sweep, Square Wave and Differential Pulse Voltammetric Determination in Pharmaceuticals

In this study, simple, fast and reliable cyclic voltammetry, linear sweep voltammetry, square wave voltammetry and differential pulse voltammetry methods were developed and validated for determination of etodolac in pharmaceutical preparations. The proposed methods were based on electrochemical oxidation of etodolac at platinum electrode in acetonitrile solution containing 0.1 M lithium perchlorate. The well-defined oxidation peak was observed at 1.03 V. The calibration curves were linear for etodolac at the concentration range of 2.5-50 μg/ml for linear sweep, square wave and differential pulse voltammetry methods, respectively. Intra- and inter-day precision values for etodolac were less than 4.69, and accuracy (relative error) was better than 2.00%. The mean recovery of etodolac was 100.6% for pharmaceutical preparations. No interference was found from three tablet excipients at the selected assay conditions. Developed methods in this study are accurate, precise and can be easily applied to Etol, Tadolak and Etodin tablets as pharmaceutical preparation.
Principled action by young people: R4Respect

Abstract There is an international movement promoting youth participation models and principles to empower more young people to be active in positive social change. To counter the prevalence of domestic violence, young people are more often targets of change rather than the instigators. Primary prevention of domestic violence is being pursued through gender-based respectful relationships education with young people. Generally, these programs are delivered using conventional adult educator models. In this study, the first year of activity of an emerging youth-led program for delivering respectful relationships education (R4Respect) is evaluated through the views of the young participants, aged from sixteen to twenty-four years, and non-participant adult stakeholders. The development of the model was guided by Good Practice Principles for Youth Development (Seymour 2012). The program is assessed using the Tiffany–Eckenrode Program Participation Scale (TEPPS) (Tiffany et al. 2012). For this article, the major themes of the study were reviewed to identify those most relevant to the Good Practice Principles. The study affirms the importance of these principles to building a participatory model in which young people feel valued and supported. Increased funding, capacity, and greater clarity and fairness in roles and responsibilities among the youth participants are suggested as program improvements.
Effects of acute exercise on executive functioning: Testing the moderators

Two studies have tested the moderators between acute exercise and executive function gains. In study 1, 60 participants were assigned to 2 groups and performed a handgrip squeezing task at 30% of their maximal voluntary contraction or a stepping task to the cadence of a metronome. Rate of perceived exertions (RPE) and heart rate were measured at 30 s intervals. Trail-making test (TMT) was administered prior to task performance, following RPE = 6 and RPE = 9. In study 2, 83 participants were assigned to 1 of 5 groups. They performed either a handgrip squeezing task or a stepping task up to RPE = 6 or RPE = 9. Participants in the control group have not been engaged in any exercise tasks. Measures of executive function were administered at rest, immediately following exercise tasks, and after 15 min delay. Results from study 1 revealed that both the handgrip squeezing and stepping tasks improved TMT scores after RPE = 9 (p < .001). In study 2, executive function scores improved following the handgrip and stepping tasks regardless of the exercise intensity. The control condition resulted in similar results to that of the handgrip and stepping conditions. These findings help delineate the role of moderators in the acute exercise–cognitive gains linkage. Alternative “control” conditions must be tested for broader conclusions and implications.
Space Use and Survival of White-Tailed Deer in an Exurban Landscape

Abstract Exurban development is nonmetropolitan, residential development characterized by a human population density and average property size intermediate between suburban and rural areas. Although growth in exurban areas is outpacing that of urban, suburban, or rural landscapes, studies of deer (Odocoileus spp.) ecology in exurban areas are nonexistent. During 2003–2005, we studied space use (i.e., seasonal home-range and core-area size and habitat use relative to human dwellings) and survival of 43 female white-tailed deer (O. virginianus) in an exurban setting near Carbondale, Illinois. Deer had larger home ranges than most suburban deer populations and generally smaller home ranges than rural deer populations. When we analytically controlled for habitat use, deer exhibited a subtle avoidance of human dwellings, especially during the fawning season. The annual survival rate was among the highest reported in the literature at 0.872 (SE = 0.048). Only 5 deer (cause-specific mortality rate = 0.091) were harvested by hunters, indicating major obstacles for wildlife managers when attempting to manage deer in exurban areas using traditional hunter harvest.
Object Tracking Using Point Matching Based on MCMC

Most of the reported object tracking methods achieved by estimating the object position cannot suit for large image deformations. For this reason, a new object tracking base on MCMC point matching method is presented in this paper. This method applies MCMC algorithm to solve the posterior probability distribution problem and obtain the optimal matching parameters include position, rotation, scale information. The test results prove this method can successfully cope with target scale or orientation variations in video tracking.
A complete system to determine the speed limit by fusing a GIS and a camera

Determining the speed limit on road is a complex task based on the Highway Code and the detection of temporary speed limits. In our system, these two aspects are managed by a GIS (Geographical Information System) and a camera respectively. The vision-based system aims at detecting the roadsigns as well as the subsigns and the lane markings to filter those applicable. The two sources of information are finally fused by using the Belief Theory to select the correct speed limit. The performance of a navigation-based system is increased by 19%.
A PPLICATIONS OF S MARTPHONES FOR U BIQUITOUS H EALTH M ONITORING AND W ELLBEING M ANAGEMENT Mladen Milošević

Advances in smartphone technology and data communications facilitate the use of ubiquitous health monitoring and mobile health application as a solution of choice for the overwhelming problems of the healthcare system. In addition to easier management and seamless access to historical records, ubiquitous technology has the potential to motivate users to take an active role and manage their own conditions. In this paper we present capabilities of the current generation of smartphones and possible applications for ubiquitous health monitoring and wellness management. We describe the architecture and organization of ubiquitous health monitoring systems, Body Sensor Networks, and integration of wearable and environmental sensors. We also describe mainstream mobile health related applications in today’s mobile marketplaces such as Apple App Store and Google Android Marketplace. Finally, we present the development of UAHealth our integrated mobile health monitoring system for wellness management, designed to monitor physical activity, weight, and heart activity.
An enhanced interpolated-modulated sliding DFT for high reporting rate PMUs

The field of application of Phasor Measurement Units (PMUs) might be limited by the PMU measurements reporting latencies and achievable reporting rates, particularly with respect to power system protection applications that typically require very low latencies. A way to speed-up synchrophasor estimation algorithms based on the use of the Discrete Fourier Transform (DFT) refers to the usage of stable and accurate recursive processes for the DFT estimation. In this respect, this paper presents a synchrophasor estimation algorithm, called Interpolated-Modulated Sliding DFT (IpMSDFT), characterized by high accuracies and reduced latencies, enabling reporting rates up to thousands of synchrophasor per second. It is composed by two stages: (i) a guaranteed-stable technique for sample-by-sample DFT computation; (ii) an enhanced version of the classical IpDFT algorithm for synchrophasor estimation. The algorithm is analytically formulated and its digital design tailored to allow a feasible deployment on an FPGA-based PMU. The IpMSDFT-based PMU is finally validated with respect to the numerical stability of the proposed solution, its reporting latencies and the achievable reporting rates.
Climate change scenarios and the development of adaptation strategies in Africa: challenges and opportunities

Climate change is expected to intensify existing problems and create new combinations of risks, particularly in Africa, where there is widespread poverty and dependence on the natural environment. Accordingly, there is a growing need for proactive adaptation to climate change risks. In order to achieve this, the requisite competence needs to be developed on the use and interpreta- tion of climate information to support informed decisions. The present paper assesses the extent to which climate change scenarios are currently used in developing adaptation strategies within the agricultural development sector, with a focus on Africa. The data, based on interviews with practi- tioners and donors working in the climate change field in Africa, suggest that although annual climate information (such as seasonal climate forecasts) is used to a certain extent to inform and sup- port some decisions, climate change scenarios are rarely used at present in agricultural development. However, respondents suggest a number of ways to improve the application of climate change science in these endeavors; these include strengthening technical skills for downscaling climate models, as well as using scenario outputs to develop and prioritize robust locally relevant adaptation strategies to provide examples of 'good' adaptation practice. Improved understanding, packaging, and communication of climate scenarios are required between scientists, practitioners, policymakers and civil society, both within areas in the global south as well as between the global south and north. In addition, we argue that a paradigmatic shift is required from supply-driven activities to a user- focused approach that addresses decision makers' needs for climate change data. Such a shift would focus on generating the information required to provide actionable suggestions to formulate viable adaptation policies and reduce the negative consequences of climate change, particularly for Africa's most vulnerable groups.
Factors influencing selective exposure to informative TV programs among urban women

There are various ways to gain information nowadays in the era of information technology.It depends on who prefers which channels according to their tastes, comfortable, interests and so on. Different people have different channels for gaining information, as well as women that have their own styles of accessing information. Exposure to their favorite TV programs is one way of doing it.It is easy, interesting and can be catching up to the current news.However, a frequent explanation for the failure of influencing communications to produce significant attitude change has been that messages conveyed by the mass media permit the operation of the selective-exposure phenomenon (James & Samuel, 2003). These phenomena occur when there are some factors which influence people to expose themselves to the media content.Hence, this research attempt to focus on two major factors, age and education, in order to test the hypotheses which are highly related to selective exposure theory. Beside that, TV credibility also give an affect for the audience to select which TV programs portray messages that are suit with their preferences.TV credibility includes trustworthiness, accuracy and bias of TV viewing their content.All of these matters will be discussing further and focus on urban women and their TV programs preferences.Recently, urban women become very selective and they just choose TV programs which can fulfill their needs and interests.It is well known that urban women have a very less time to watch TV for any purposes. They have to think about their careers, family and life concurrently.Simultaneously, they will have less time to watch TV as one of the famous media. Thus, after realizing that this problem is happening in the real world, the decision had been made to conduct a research focus on exposure to TV programs of urban women according to their preferences.However, this study just focused on informative TV programs such as news and documentary
Association between Directly Observed Therapy and Treatment Outcomes in Multidrug-Resistant Tuberculosis: A Systematic Review and Meta-Analysis

Background Multidrug-resistant tuberculosis (MDR-TB) represents a major obstacle towards successful TB control. Directly observed therapy (DOT) was recommended by WHO to improve adherence and treatment outcomes of MDR-TB patients, however, the effectiveness of DOT on treatment outcomes of MDR-TB patients was mixed in previous studies. We conducted this systematic review and meta-analysis to assess the association between DOT and treatment outcomes and to examine the impact of different DOT providers and DOT locations on successful treatment outcomes in MDR-TB patients. Methods We searched studies published in English between January 1970 and December 2015 in major electronic databases. Two reviewers independently screened articles and extracted information of DOT, treatment success rate and other characteristics of studies. Random effects model was used to calculate the pooled treatment success rate and 95% confidence interval (CI). Sub-group analyses were conducted to access factors associated with successful treatment outcomes. Results A total of 31 articles 7,466 participants were included. Studies reporting full DOT (67.4%, 95% CI: 61.4–72.8%) had significantly higher pooled treatment success rates than those reporting self-administration therapy (46.9%, 95% CI: 41.4–52.4%). No statistically difference was found among DOT provided by healthcare providers (65.8%, 95% CI: 55.7–74.7%), family members (72.0%, 95% CI: 31.5–93.5%) and private DOT providers (69.5%, 95% CI: 57.0–79.7%); and neither did we find significantly difference on pooled treatment success rates between patients having health facility based DOT (70.5%, 95% CI: 61.5–78.1%) and home-based DOT (68.4%, 95% CI: 51.5–81.5%). Conclusion Providing DOT for a full course of treatment associated with a higher treatment success rate in MDR-TB patients.
Board Effectiveness in Nonprofit Organizations: Do Interactions in the Boardroom Matter?

This study explores how perceived interactions in the boardroom are associated with perceptions of board effectiveness in nonprofit organizations. The relationships between board chair leadership, board meeting practices, board group dynamics, and the perceived effectiveness of the board in several governance roles and responsibilities are investigated. The results show that interactions in the boardroom matter: they are generally positively associated with both board chairs’ and chief executives’ perceptions of board effectiveness. Based on these results, several practical implications are formulated for boards seeking to improve their effectiveness.
Exploring the Applicability of Formal Concept Analysis on Market Intelligence Data

This paper examines and identifies issues associated with the applicability of FCA on sample data provided by a CUBIST use-case partner. The paper explains the various steps related to the transformation of these data to formal contexts, such as preprocessing, cleansing and simplification, as well as preprocessing and limitation issues, by us-ing two FCA tools currently being developed in CUBIST, FcaBedrock and InClose. The paper demonstrates what is achievable to date, using the above-mentioned tools and what issues need to be considered to achieve more meaningful and intuitive FCA analyses. The paper con- cludes by suggesting and explaining techniques and features that should be implemented in later iterations of these tools, to deal with the identified barriers. This work has been carried out as a part of the European CUBIST FP7 Project: http://www.cubist-project.eu
A generalized max-min rate allocation policy and its distributed implementation using the ABR flow control mechanism

We generalize the classical max-min rate allocation policy with the support of the minimum rate requirement and peak rate constraint for each connection. Since a centralized algorithm for the generalized max-min (GMM) rate allocation requires global information, which is difficult to maintain and manage in a large network, we develop a distributed protocol to achieve the GMM policy using the available bit rate (ABR) flow control mechanism. We give a proof that our distributed protocol converges to the GMM rate allocation through distributed and asynchronous iterations under any network configuration and any set of link distances.
Compression of Satellite Imagery Sequences Using Wavelet for Detection of Natural Disaster

Indonesia, geographically and geologically, is potentially encounter natural disasters. One of the tools used to early detect disaster is sensor of ocean waves change, but it has drawbacks including the time difference between information/warnings obtained with the disaster event is very short, less than 30 minutes. The faster detector is required, so the time difference will be longer. For example, early detection of natural disasters information system, which can be made with the pattern recognition of satellite imagery sequences of before and during natural disaster images. This study was conducted to determine the right wavelet to compress the satellite image sequences. The compressed images will be used to perform the pattern recognition of natural disaster using artificial neural network. This study use satellite imagery sequences of tornadoes and hurricanes. The eight wavelets used are Haar, Coiflet 1, Coiflet 3, Symlet 2, Symlet 5, 1 AJS, AJS 2, and AJS 3. The test results are then compared with the compression ratio. Result of this study are the comparison of wavelet used to compress satellite imagery sequences, which is save the storage space, access time, processing time and delivery time.
Spectral Properties by Using Splitting Correction Preconditioner for Linear Systems that Arise from Periodic Boundary Problems

Shoji Itoh 1 , Shao-Liang Zhang , Yoshio Oyanagi 3 and Makoto Natori 4 1 Doctral Program in Engineering on Information Sciences and Electronics, University of Tsukuba, Tsukuba, Ibaraki, Japan E-mail: itosho@nalab.is.tsukuba.ac.jp 2 Department of Applied Physics, University of Tokyo, Bunkyo, Tokyo, Japan E-mail: zhang@zzz.t. u-tokyo.ac.jp 3 Department of Information Science, University of Tokyo, Bunkyo, Tokyo, Japan E-mail: oyanagi@is.s. u-tokyo.ac.jp 4 Institute of Information Sciences and Electronics, University of Tsukuba, Tsukuba, Ibaraki, Japan E-mail: natori@is.tsukuba.ac.jp
Social bootstrapping: how pinterest and last.fm social communities benefit by borrowing links from facebook

How does one develop a new online community that is highly engaging to each user and promotes social interaction? A number of websites offer friend-finding features that help users bootstrap social networks on the website by copying links from an established network like Facebook or Twitter. This paper quantifies the extent to which such social bootstrapping is effective in enhancing a social experience of the website. First, we develop a stylised analytical model that suggests that copying tends to produce a giant connected component (i.e., a connected community) quickly and preserves properties such as reciprocity and clustering, up to a linear multiplicative factor. Second, we use data from two websites, Pinterest and Last.fm, to empirically compare the subgraph of links copied from Facebook to links created natively. We find that the copied subgraph has a giant component, higher reciprocity and clustering, and confirm that the copied connections see higher social interactions. However, the need for copying diminishes as users become more active and influential. Such users tend to create links natively on the website, to users who are more similar to them than their Facebook friends. Our findings give new insights into understanding how bootstrapping from established social networks can help engage new users by enhancing social interactivity.