Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Efficient Route Selection Mechanisms for Mobile Ad Hoc Networks

Resumen—In this paper we propose a new metric, thedrain rate, to forecast the lifetime of nodes according to current traffic conditions. This metric is combined with the value of the remaining battery capacity to determine which nodes can be part of an active route. We describe new route selection mechanisms for MANET routing protocols, which we call the Minimum Drain Rate (MDR) and the Conditional Minimum Drain Rate (CMDR). MDR extends nodal battery life and the duration of paths, while CMDR also minimizes the total transmission energy consumed per packet. Using the ns-2 simulator and the dynamic source routing (DSR) protocol, we compare MDR and CMDR against prior proposals for energyaware routing and show that using the drain rate for energy-aware route selection offers superior performance results. Palabras clave—Mobile Ad Hoc Network, Energy-aware, Route Selection, Drain Rate.
An analysis of miniaturized dual-mode bandpass filter structure using shunt-capacitance perturbation

A dual-mode bandpass ring filter using two pairs of shunt capacitances has been analyzed and designed. The size of the ring resonator can be reduced significantly by increasing the shunt capacitances. Since the resonator size is not an integer multiple of operating frequency, harmonic suppression is easily achieved. Analysis shows that the two pairs of shunt capacitances independently control the even- and odd-mode resonant frequency of the ring resonator. Moreover, the shunt capacitance also allows easier biasing, making tunable filters using varactors realizable. Various configurations of dual-mode bandpass filters have been reported, and the advantages and disadvantages of each structure are discussed. Several filters of various capacitances have been designed and tested at 1.8 GHz, and show significant size reduction of over 67%. A varactor-tuned filter has also been designed, and demonstrated a measured tunable center frequency of 20%. This study is a solution to the miniaturization of ring filters, and allows performance tuning, making ring filters more attractive in monolithic microwave integrated circuits and system-on-chip applications.
Gene Expression Profile Classification: A Review

In this review, we have discussed the class-prediction and discovery methods that are applied to gene expression data, along with the implications of the findings. We attempted to present a unified approach that considers both class-prediction and class-discovery. We devoted a substantial part of this review to an overview of pattern classification/recognition methods and discussed important issues such as preprocessing of gene expression data, curse of dimensionality, feature extraction/selection, and measuring or estimating classifier performance. We discussed and summarized important properties such as generalizability (sensitivity to overtraining), built-in feature selection, ability to report prediction strength, and transparency (ease of understanding of the operation) of different class-predictor design approaches to provide a quick and concise reference. We have also covered the topic of biclustering, which is an emerging clustering method that processes the entries of the gene expression data matrix in both gene and sample directions simultaneously, in detail.
Learning and Generalization in Adaptive Fuzzy Logic Networks

We introduce the adaptive fuzzy logic network (AFLN) as the appropriate architecture for the realization of fuzzy membership and fuzzy logic functions. The according AFLN to a given training set is easily constructed and optimized. As their main advantage AFLNs provide for a very eecient sequential implementation of fuzzy systems. This eeciency is achieved by lazy evaluation and the application of a special windowing scheme.
Exploring the Association between Different Types of Social Support with Role Stress, Work–family Conflict, and Turnover Intent among Private Prison Staff

ABSTRACT Private security personnel play an important role in protecting society, including personnel who work in private prisons. Staff are critical to ensure the private prison is operated in a safe, secure, and humane manner. This study, a survey of 160 staff members at a private prison located in a Midwestern state, examined the impact that support by management, coworkers, family, and supervisors has on role stress, work–family conflict, and turnover intent. Each of the four support measures was hypothesized to have negative associations on role stress, work–family conflict, and turnover intent. Ordinary Least Squares (OLS) regression analysis revealed that management and supervisor support was associated with reduced role stress, work–family conflict, and turnover intent; coworker support was related to lower role stress and turnover intent; and family support was not found to have a significant association with role stress, work–family conflict, nor turnover intent.
AN EFFICIENT ANT COLONY OPTIMIZATION CLUSTERING ALGORITHM

This paper presents a new algorithm for clustering which is called an “efficient ant colony optimization clustering algorithm” (EACOC) based on a classic algorithm “LF algorithm”. We have proved the algorithm efficiency when dealt with a big variety of different data as well as providing high quality and converging speed simultaneously. This is considered as the outcome of many changes we have made including redefining the digital manner of ants, setting new formula to find out the degree of similarity and measuring the distance between objects; as well as creating a process to determine the degree of similarity between the collections resulting from the repeated processes. Experimental results show, by using clustering benchmarks indicate, that this suggested algorithm is the best of (LF) Algorithm, as it could defeat the defects found in (LF) involving; the law converging speed and the big number of repeating processes.
Using Decision Trees and Text Mining Techniques for Extending Taxonomies

Lexical taxonomies have tree-like structures and can thus be extended to become decision trees that serve for their own extension. In this paper, a semi-automatic procedure for extending lexical taxonomies is proposed that makes use of term extraction methods for identifying new concepts and that uses cooccurrence data from large corpora to generate the necessary features (semantic descriptions) of the decision tree’s nodes.
Extraordinary Acts to “Show Up”: Conceptualizing Resilience of LGBTQ Youth

Sexual and gender diversity is an overlooked subject in resilience research. This study seeks to advance the conceptualization of resilience among lesbian, gay, bisexual, trans, and queer (LGBTQ) youth. Informed by social ecological theory of resilience, grounded theory analysis of interviews with service providers (n = 16) and LGBTQ youth (n = 19) yielded the following categories: (a) facing adversities across contexts, and (b) “doing well” while still in pain. LGBTQ youth face both general and LGBTQ-specific adversities. LGBTQ youth, even in a so-called “post-gay” era, remain challenged to navigate marginalization to maintain their well-being. Participants endorsed a context-dependent understanding of “doing well,” rather than using normative criteria of health (e.g., absence of psychopathologies). Although resilience is known as “ordinary magic,” this article alternatively proposes that resilience is LGBTQ youths’ extraordinary acts to “show up” every day to battle through adversities.
EFFECTS OF SPEECH VERSUS TACTILE DRIVER SUPPORT MESSAGES ON DRIVING BEHAVIOUR AND WORKLOAD

In a driving simulator experiment, effects were tested of an integrated support system on driving behaviour, user acceptance and workload. An alternative workload measure was used based upon peripheral vision. Two modes of support (tactile and speech messages) were compared to a control condition without support. Subjects were confronted with critical incidents dealing with lateral and longitudinal control on rural roads and motorways. The experiment showed that speech warnings are better suited for things related to law-enforcement, while tactile warnings are more suitable for situations directly related to driver safety. Although tactile warnings do result in compliance in enforcement type of situations, compliance is less than with speech warnings. For safety-related situations that do not require an immediate response, such as when approaching a sharp curve while speed is too high, speech warnings have the same effects as tactile warnings. However, if the criticality of the situation increases fast, for example when a lead vehicle brakes unexpectedly, tactile warnings result in more favourable effects than speech warnings. Still, both speech and tactile warnings do have a favourabie effect of driver safety in a general way. The Peripheral Detection Task showed to be sensitive to variations in workload that were caused by different driving situations and to variations caused by short lasting increases in workload as a result of attending to the system messages.
WebGIS Platform for Detecting Spatio-Temporal Hotspots of Oto-Laryngo-Pharyngeal Diseases

This paper is a natural prosecution of two previous works. We present a web geospatial framework for analyzing and monitoring the spatio-temporal evolution of disease hotspots. In order to detect the hotspots, we adopt Extended Fuzzy C-Means method which has been adapted for calculating spatial areas with high concentrations of events in a Geographic Information System and tested to study the spatial and temporal evolution of hotspot areas. Each event is given by the geo-positional coordinates of the place of residence of the patient. The analyst can insert event data directly on the map or digitizing the address of the residence of the patient and by using geo-coding services for locating the event. The events can be grouped for time intervals for studying the temporal evolution of the phenomenon. Other services allow the analyst to study the spatio-temporal evolution of the hotspot areas. In our experiments, the data consist of geo-referenced patterns corresponding to the residence of patients in the district of Naples (Italy) to whom a surgical intervention to the oto-laryngo-pharyngeal apparatus was carried out between the years 2008 -2012. The results show the presence of two major hotspots for every type of oto-laryngo-pharyngeal disease, the former covering a geographical area that affects the city of Naples, the latter covering various towns around Vesuvius. Both hotspots are significantly increased in recent years.
From cystic pulmonary airway malformation, to bronchioloalveolar carcinoma and adenocarcinoma of the lung

Bronchioloalveolar carcinoma (BAC) of the lungs is a known morphological subtype of nonsmall cell cancer. The current study presents several carcinogenetic theories of BAC and the possible relationship with atypical adenomatous hyperplasia and congenital pulmonary airway malformation (CPAM). The authors present an unusual case of BAC developed in an area of CPAM, with subsequent progression to metastatic adenocarcinoma (AC). The case is unique due to the combination of: early age of presentation; neoplastic transformation of a CPAM; unaltered course over 15 yrs; and its particular pattern of slow morphogenesis and degeneration into an invasive AC of the lung. The case also presents the unique features of a long-standing, unaltered natural course of paediatric BAC towards invasive and metastatic AC, illustrating that lack of growth over many years cannot be entirely trusted as a criterion of benignity. In conclusion, clinicians and pathologists need to be aware of the fact that congenital pulmonary airway malformation so far represents the only known pre-invasive lesion for mucinous bronchioloalveolar carcinoma.
An Extended Work-Stealing Framework for Mixed-Mode Parallel Applications

Parallelizing complex applications even for well-behaved parallel systems often calls for different parallelization approaches within the same application. In this paper we discuss three applications from the literature that for both reasons of efficiency and expressive convenience benefit from a mixture of task and more tightly coupled data parallelism. These three applications, namely Quick sort, list ranking, and LU factorization with partial pivoting, are paradigms for recursive, mixed-mode parallel algorithms that can neither easily nor efficiently be expressed in either a purely data-parallel or a purely task-parallel fashion. As a solution we present a shared-memory programming framework that allows tasks to dynamically spawn subtasks with a given degree of parallelism for implementing tightly coupled parallel parts of the algorithm. All three paradigmatic applications can naturally be expressed in this framework, which in turn can be supported by an extended, non-conventional work-stealing scheduler, which we also briefly sketch. Using our new algorithm for work-stealing with deterministic team-building we are able to show, beyond the improved, more natural implementability, in many cases better scalability and sometimes absolute performance than with less natural implementations based on pure task-parallelism executed with conventional work-stealing. Detailed performance results using an Intel 32-core system substantiate our claims.
A Single Bout of Resistance Training Improves State Body Image in Male Weight-Trainers

Although improvements in body image have been shown for longer-lasting resistance training, research on its short-term effects is currently lacking. The present study set out to test a hypothesized beneficial effect of a single bout of resistance training on global and specific (i.e., body fat- and muscularity-related) body image states of male exercisers. Additionally, a moderating effect of drive for muscularity was explored. In a controlled crossover study, 42 experienced weight trainers received (a) a session of resistance training; (b) a session of aerobic exercise (cycling); and (c) a session of magazine reading. Body image states were assessed before and immediately after each condition, and after 24 hr. As hypothesized, resistance training, but not cycling or reading, led to a significant increase in perceived muscularity on a silhouette measure of body image states (g = 0.31 or 3 kg). Both exercise conditions led to a significant decrease in perceived body fat (g = −0.33 or −2.5% for resistance training), but for resistance training, this only held true for men lower in drive for muscularity (g = .58, p < .01). After 24 hr, scores had returned to baseline levels. Even a single bout of resistance training yields short-term improvements in men’s body image states on both the muscularity and fat dimension, which may act as a reinforcer of exercise behavior. The present findings might foster the understanding of body-image factors that contribute to the development of excessive weight-lifting behavior.
Family and Child Characteristics Associated with Coping, Psychological Adjustment and Metabolic Control in Children and Adolescents with Type 1 Diabetes

FAMILY AND CHILD CHARACTERISTICS ASSOCIATED WITH COPING, PSYCHOLOGICAL ADJUSTMENT AND METABOLIC CONTROL IN CHILDREN AND ADOLESCENTS WITH TYPE 1 DIABETES Michelle C. Wesley Advisors: University of Guelph, 2012 Dr. Michèle Preyde Dr. Michael P. Grand This thesis is an investigation of the factors that impact psy chological adjustment and metabolic control in children and adolescents with type 1 diabetes. Studies suggest that aspects of the family environment (stressful life events, fam ily functioning and parent mental health) and child characteristics such as age, sex, ex cutive functioning and hopeful thinking impact psychological adjustment and metabolic control. The re is also evidence that coping processes mediate these associations. The purpo se of this study was to 1) explore and identify developmental differences in coping pro cesses in a sample of children with T1D, 2) identify the family system characteristics that are associated with child coping processes and psychological adjustment, and 3) identif y the amily and child characteristics that impact metabolic control. Survey data wer e collected through convenience sampling from an outpatient hospital clinic. Children ag d 8 to 17 completed self-reports of hopeful thinking and illness-related coping sty le. Caregivers provided demographic information and completed questionnaires on their c ild’s physical health, iii stressful life events, mental health, family functioning, as w ell as the child’s initiative, emotional control, and psychological adjustment. Ratings of ch ild metabolic control (HbA1C) were also retrieved from hospital patient records. A predic tive model examining direct and indirect contributions of the family environment and c oping variables toward child adjustment and metabolic control was tested. Age and s ex ifferences in children’s coping style were identified. Family functioning and parent menta l he lth were found to predict child psychological adjustment. Coping processes, inclu di g avoidant coping, coping efficacy and executive functioning mediated relations be tween family functioning and child adjustment. Results provided partial support for a m ediational model of family system characteristics that influence psychological adjustment in the sample. Family functioning and parent mental health had a direct impact on ch ildren’s psychological adjustment, as well as indirect effects on adjustment throug coping processes (i.e., coping style, coping efficacy, initiative and emotional control). Child age was found to moderate some paths in the proposed model. Clinical and research implic ations are discussed.
Effects of Local Item Dependence on the Fit and Equating Performance of the Three-Parameter Logistic Model

Unidimensional item response theory (IRT) has be come widely used in the analysis and equating of edu cational achievement tests. If an IRT model is true, item responses must be locally independent when the trait is held constant. This paper presents several mea sures of local dependence that are used in conjunction with the three-parameter logistic model in the analysis of unidimensional and two-dimensional simulated data and in the analysis of three mathematics achievement tests at Grades 3 and 6. The measures of local depen dence (called Q2 and Q 3) were useful for identifying subsets of items that were influenced by the same fac tors (simulated data) or that had similar content (real data). Item pairs with high Q2 or Q3 values tended to have similar item parameters, but most items with similar item parameters did not have high Q2 or Q3 values. Sets of locally dependent items tended to be difficult and discriminating if the items involved an accumulation of the skills involved in the easier items in the rest of the test. Locally dependent items that were independent of the other items in the test did not have unusually high or low difficulties or discrimina tions. Substantial unsystematic errors of equating were found from the equating of tests involving collections of different dimensions, but substantial systematic er rors of equating were only found when the two tests measured quite different dimensions that were presum ably taught sequentially.
Approaches for Evaluating the Relevance of Multiroute Exposures in Establishing Guideline Values for Drinking Water Contaminants

In establishing the guideline values for chemical contaminants in drinking water, the contribution of inhalation and dermal routes associated with showering/bathing needs to be evaluated. The present article reviews the current approaches available for evaluating the importance of inhalation and dermal routes of exposure to drinking water contaminants (DWCs) and integrates them within a 2-tier approach. Accordingly, tier 1 would evaluate whether the dermal or inhalation route is likely to contribute to at least 10% of the dose received from ingestion of drinking water (i.e., 0.15 L-equivalent per day based on the daily water intake rate of 1.5 L/day typically used in Health Canada assessments). Based on the route-specific exposure parameters (i.e., area of skin exposed, effective skin permeability coefficient [Kp], and air to water concentration ratio during use conditions [Fair-water], breathing rate, duration of contact, and fraction absorbed), it was determined that for DWCs with Kp less than 0.024 cm/hr and Fair - water less than 0.0063, the dermal and inhalation routes during showering or bathing are unlikely to contribute significantly to the total dose. For DWCs with Kp value equal to or greater than 0.025 cm/hr, dermal notation is implied, and as such, tier 2 calculation of L-equivalent associated with dermal exposure needs to be performed. Similarly, for DWCs with Fair-water greater than 0.00063, inhalation notation is implied, and detailed evaluation of the L-equivalent associated with inhalation exposure (i.e., tier 2) is suggested. In general, data from human volunteer studies, observational measurements, and targeted modeling studies are useful for deriving L-equivalents, reflective of the magnitude of dose received via dermal and inhalation routes relative to the oral route. However, in resource-limited situations, these approaches can be integrated within a 2-tier approach for prioritizing and providing quantitative evaluations of the relevance of dermal and inhalation routes for developing exposure guidelines for DWCs.
Fast proxy delivery of multiple streaming sessions in shared running buffers

With the falling price of memory, an increasing number of multimedia servers and proxies are now equipped with a large memory space. Caching media objects in the memory of a proxy helps to reduce the network traffic, the disk I/O bandwidth requirement, and the data delivery latency. The running buffer approach and its alternatives are representative techniques to caching streaming data in the memory. There are two limits in the existing techniques. First, although multiple running buffers for the same media object co-exist in a given processing period, data sharing among multiple buffers is not considered. Second, user access patterns are not insightfully considered in the buffer management. In this paper, we propose two techniques based on shared running buffers in the proxy to address these limits. Considering user access patterns and characteristics of the requested media objects, our techniques adaptively allocate memory buffers to fully utilize the currently buffered data of streaming sessions, with the aim to reduce both the server load and the network traffic. Experimentally comparing with several existing techniques, we show that the proposed techniques achieve significant performance improvement by effectively using the shared running buffers.
ClimbAware: Investigating Perception and Acceptance of Wearables in Rock Climbing

Wearable sports devices like GPS watches and heart rate monitors are ubiquitous in sports like running or road cycling and enable the users to receive real-time performance feedback. Although rock climbing is a trending sport, there are little to no consumer electronics available to support rock climbing training during exercise. In this paper, we investigated the acceptance and appropriateness of wearables in climbing on different body parts. Based on an online survey with 54 climbers, we designed a wearable device and conducted a perception study with 12 participants in a climbing gym. Using vibro-tactile, audible, and visual cues while climbing an easy route and a hard route, requiring high physical and cognitive load, we found that the most suited notification channel is sound, directly followed by vibro-tactile output. Light has been found to be inappropriate for the use in the sport of climbing.