Miracle-dz/UniFAR-FTUs huggingface dataset:
Pornography Use as a Risk Marker for an Aggressive Pattern of Behavior Among Sexually Reactive Children and Adolescents

Sexually reactive children and adolescents (SRCAs), sometimes referred to as juvenile sexual offenders, may be more vulnerable and likely to experience damaging effects from pornography use because they are a high-risk group for a variety of aggressive behaviors. The purpose of this study is to describe the characteristics of those who use pornography and those who do not and to examine the associations between pornography use and aggressive behaviors among SRCAs. This secondary analysis used a descriptive, exploratory design to study 160 SRCAs. Chi-square and individual odds ratio analyses were employed to examine the associations between use of pornography and aggressive behaviors. SRCAs who used pornography were more likely to display aggressive behaviors than their nonusing cohort. Recommendations for nurses and mental health professionals encountering these children and adolescents are offered. J Am Psychiatr Nurses Assoc, 2009; 14(6), 442-453.
High-Temperature Performance of Silicon Junctionless MOSFETs

This paper investigates the temperature dependence of the main electrical parameters of junctionless (JL) silicon nanowire transistors. Direct comparison is made to silicon nanowire (trigate) MOSFETs. Variation of parameters such as threshold voltage and on-off current characteristics is analyzed. The JL silicon nanowire FET has a lager variation of threshold voltage with temperature than the standard inversion- and accumulation-mode FETs. Unlike in classical devices, the drain current of JL FETs increases when temperature is increased.
Priority interrupts of Duty Cycled communications in wireless sensor networks

FrameComm is a contention based, duty cycled, MAC protocol that ensures a message will be transmitted during the receiverpsilas listen phase by sending a packet, followed by a short gap, repeatedly for a precalculated number of times or until an acknowledgment is received. While introducing duty cycled communications can yield large power savings it does so at the cost of increased delay and decreased throughput. Many WSNs may incorporate several distinct message types of varying priority. A node with a high priority message to send may find the channel to be busy with a lesser priority message from another node and must therefore dasiaback-offpsila leading to further delays. In a multi-hop environment, these delays are compounded and may become unacceptably large. This paper proposes adding a high priority interrupt message to FrameComm that allows a node with important data to send to interrupt another nodepsilas lesser priority transmission giving immediate access to the channel. The priority interrupt mechanism is evaluated using an implementation in TinyOS 2 on a small laboratory testbed.
Teaching Mathematics for Spatial Justice: An Investigation of the Lottery

ABSTRACT This article explores integrating place-based education with critical mathematics toward teaching mathematics for spatial justice. Local Lotto, a curricular module with associated digital tools, was designed to investigate the lottery as a critical spatial phenomenon and piloted in urban high schools. This article describes findings from the second iteration in a remedial class in a low-income neighborhood. The research questions consider how the spatial focus supported the learning of mathematics and provided opportunities for students to think critically about the lottery using that mathematics. Findings include student interest in and engagement with the theme of the lottery familiar from outside of school with associated social justice implications. Students used mathematics and spatial evidence, at various levels of spatial scale, to support arguments about the lottery with greater success at narrower levels of scale. Suggestions about further innovations to scaffold place in a “critical pedagogy of place” in mathematics are provided.
Studying Readiness for Clinical Decision Support for Worker Health Using the Rapid Assessment Process and Mixed Methods Interviews

To determine how the Rapid Assessment Process (RAP) can be adapted to evaluate the readiness of primary care clinics for acceptance and use of computerized clinical decision support (CDS) related to clinical management of working patients, we used a unique blend of ethnographic methods for gathering data. First, knowledge resources, which were prototypes of CDS content areas (diabetes, lower back pain, and asthma) containing evidence-based information, decision logic, scenarios and examples of use, were developed by subject matter experts. A team of RAP researchers then visited five clinic settings to identify barriers and facilitators to implementing CDS about the health of workers in general and the knowledge resources specifically. Methods included observations, semi-structured qualitative interviews and graphic elicitation interviews about the knowledge resources. We used both template and grounded hermeneutic approaches to data analysis. Preliminary results indicate that the methods succeeded in generating specific actionable recommendations for CDS design.
Bis(2-amino-5-bromopyridinium) fumarate dihydrate

In the title compound, 2C5H6BrN2 +·C4H2O4 2−·2H2O, the complete fumarate dianion is generated by crystallographic inversion symmetry. The cation is approximately planar, with a maximum deviation of 0.036 (1) Å. In the anion, the carboxylate group is twisted slightly away from the attached plane; the dihedral angle between carboxylate and (E)-but-2-ene planes is 6.11 (14)°. In the crystal, the carboxylate O atoms form bifurcated (N—H⋯O and C—H⋯O) and N—H⋯O hydrogen bonds with the cations. The crystal packing is stabilized by R 2 2(8) ring motifs which are generated by pairs of N—H⋯O hydrogen bonds. The crystal structure is further consolidated by water molecules via O(water)—H⋯O and N—H⋯O(water) hydrogen bonds. The components are linked by these interactions into three-dimensional network.
Trends in Hours and Economic Growth L

Trends in Hours and Economic Growth We study long-run trends in market hours of work and employment shifts across economic sectors driven by uneven TFP growth in market and home production. We focus on the substitutions between market and home production and on the structural transformation between agriculture, manufacturing and services. The model can rationalize the observed falling or U-shaped pattern for aggregate hours, the complete marketization of agriculture and manufacturing, and the shift from agriculture to services without violating balanced aggregate growth. We find support for the model’s predictions in long-run US data. JEL Classification: J21, J22, O14, O41
Modeling spare capacity reuse in EV charging stations based on the Li-ion battery profile

Lithium-ion batteries, widely used in electric vehicles (EVs), have a specific charging profile where the power consumed varies over time and defines the amount of power the charging station needs to deliver. Achieving a proper tradeoff between charging levels, number of vehicles, and electric capacity of the plant is challenging. In order to give a solid basis for the deployment of efficient charging systems, we propose a bi-dimensional Markov chain model that considers the practical characteristics of Li-ion charging profiles. To this end, we build two scenarios that differ in their capacity to handle idle slots. We show through extensive numerical analysis that the use of spare sockets in different sizes of charging stations contributes to better energy utilization. Moreover, we apply the proposed model to the case of the city of Rio de Janeiro and show that, in a foreseeable future, if all ICE (Internal Combustion Engine) vehicles were replaced by EVs, the adoption of charging station with spare sockets will produce significantly better results in terms of availability of the station, number of admitted vehicles, and energy utilization.
Multiresolution convolutional neural network for robust speech recognition

Convolutional neural networks (CNNs) have been recently used for acoustic modeling and feature extraction in speech recognition systems, where their inputs have been speech spectrogram or even raw speech signal. In this paper, we propose to use CNN for learning a filter bank and robust feature extraction from the noisy speech spectrum. In the proposed manner, CNN inputs are noisy speech spectrum and its outputs are denoised logarithm of Mel filter bank energies (LMFBs) and convolution filter size is fixed. Furthermore, we propose to use multiple CNNs with different convolution filter sizes to provide different frequency resolutions for feature extraction from the speech spectrum. We named this method as Multiresolution CNN (MRCNN). We behave in two manners with multiple CNNs outputs. In the first manner, we concatenate all outputs to construct the feature vector. In the second manner, we choose some outputs from each CNN based on the convolution filter size and concatenate them to construct feature vector. Recognition accuracy on Aurora 2 database, show that MRCNN with two CNNs and corresponding 1×6 and 1×20 convolution filter sizes outperforms CNNs and other MRCNNs setting in extracting robust features.
Gene expression changes in the coccolithophore Emiliania huxleyi after 500 generations of selection to ocean acidification

Coccolithophores are unicellular marine algae that produce biogenic calcite scales and substantially contribute to marine primary production and carbon export to the deep ocean. Ongoing ocean acidification particularly impairs calcifying organisms, mostly resulting in decreased growth and calcification. Recent studies revealed that the immediate physiological response in the coccolithophore Emiliania huxleyi to ocean acidification may be partially compensated by evolutionary adaptation, yet the underlying molecular mechanisms are currently unknown. Here, we report on the expression levels of 10 candidate genes putatively relevant to pH regulation, carbon transport, calcification and photosynthesis in E. huxleyi populations short-term exposed to ocean acidification conditions after acclimation (physiological response) and after 500 generations of high CO2 adaptation (adaptive response). The physiological response revealed downregulation of candidate genes, well reflecting the concomitant decrease of growth and calcification. In the adaptive response, putative pH regulation and carbon transport genes were up-regulated, matching partial restoration of growth and calcification in high CO2-adapted populations. Adaptation to ocean acidification in E. huxleyi likely involved improved cellular pH regulation, presumably indirectly affecting calcification. Adaptive evolution may thus have the potential to partially restore cellular pH regulatory capacity and thereby mitigate adverse effects of ocean acidification.
Concept of unified local field theory and nonlocality of matter

The concept of unified local field theory is considered. According to this concept the quantum description and the classical one must be the levels for investigation of some world solution of the unified field model. It is shown that in the framework of the unified local field theory there are nonlocal correlations between space separate events. Thus the experiments of Aspect type for testing of the Bell inequalities and for showing of the nonlocal correlations do not reject a possibility for description of matter with the unified local field theory. Advantages of such theory for new technologies are considered.
Peri-implantitis: associated microbiota and treatment.

INTRODUCTION Peri-implantitis is a late complication of dental implant treatment, induced by microbiological changes. Since the disorder is frequent, a review is indicated of the microorganisms that influence it and of the existing treatment options. OBJECTIVE To conduct a literature review of the microbiota associated to peri-implantitis and the existing treatment options. MATERIAL AND METHOD A PubMed literature search was made of the studies on the microbiota associated to dental implants in healthy patients and patients with peri-implantitis, as well as of the latest treatment developments, using the following key words: "peri-implantitis AND microbiota", "periimplantitis AND microbiota", "peri-implantitis AND treatment", and "periimplantitis AND treatment". Only clinical studies in humans were considered. The following criteria were applied for including articles in the analysis: a) for the peri-implant microbiota, the search limits were human studies after the year 2000; and b) for the treatment of peri-implantitis, the search limits were randomized and controlled clinical trials (RCTs) in humans, with a minimum follow-up of 4 months, and publication after the year 2000. RESULTS A total of 18 articles were selected in relation to peri-implant microbiota, and 13 in relation to the treatment of peri-implantitis (8 involving nonsurgical mechanical treatments and 5 surgical procedures). CONCLUSIONS Evaluation of the literature has shown the microbiota associated to peri-implantitis to be more complex than that found under healthy peri-implant conditions - the main flora consisting of anaerobic gramnegative bacteria. No clear criteria have been identified for the diagnosis and treatment of peri-implantitis.
Overexpression of CALNUC (Nucleobindin) Increases Agonist and Thapsigargin Releasable Ca2+ Storage in the Golgi

We previously demonstrated that CALNUC, a Ca2+-binding protein with two EF-hands, is the major Ca2+-binding protein in the Golgi by 45Ca2+ overlay (Lin, P., H. Le-Niculescu, R. Hofmeister, J.M. McCaffery, M. Jin, H. Henneman, T. McQuistan, L. De Vries, and M. Farquhar. 1998. J. Cell Biol. 141:1515–1527). In this study we investigated CALNUC's properties and the Golgi Ca2+ storage pool in vivo. CALNUC was found to be a highly abundant Golgi protein (3.8 μg CALNUC/mg Golgi protein, 2.5 × 105 CALNUC molecules/NRK cell) and to have a single high affinity, low capacity Ca2+-binding site (K d = 6.6 μM, binding capacity = 1.1 μmol Ca2+/μmol CALNUC). 45Ca2+ storage was increased by 2.5- and 3-fold, respectively, in HeLa cells transiently overexpressing CALNUC-GFP and in EcR-CHO cells stably overexpressing CALNUC. Deletion of the first EF-hand α helix from CALNUC completely abolished its Ca2+-binding capability. CALNUC was correctly targeted to the Golgi in transfected cells as it colocalized and cosedimented with the Golgi marker, α-mannosidase II (Man II). Approximately 70% of the 45Ca2+ taken up by HeLa and CHO cells overexpressing CALNUC was released by treatment with thapsigargin, a sarcoplasmic/endoplasmic reticulum calcium ATPase (SERCA) (Ca2+ pump) blocker. Stimulation of transfected cells with the agonist ATP or IP3 alone (permeabilized cells) also resulted in a significant increase in Ca2+ release from Golgi stores. By immunofluorescence, the IP3 receptor type 1 (IP3R-1) was distributed over the endoplasmic reticulum and codistributed with CALNUC in the Golgi. These results provide direct evidence that CALNUC binds Ca2+ in vivo and together with SERCA and IP3R is involved in establishment of the agonist-mobilizable Golgi Ca2+ store.
Fertility Preservation Among the Cancer Patients by Ovarian Tissue Cryopreservation, Transplantation, and Follicular Development

Ovarian tissue freezing or cryopreservation might be the only acceptable method for preserving the young women fertility, before radiotherapy or chemotherapy. This technology might be used for patients with recurrent ovarian cysts or endometriosis, without ovarian stimulation. Many efforts have made to improve cryopreservation conditions that should be seriously considered for cancer patients. Vitrification is a process which prevents ovarian tissue from cryo damage, then preserves cell viability. Both methods have used for evaluating not only the follicular development, but also the fertility after freezing and thawing. In this manuscript, we have discussed the techniques of ovarian tissue vitrification, then graft and maturation or follicular development is also mentioned.
Role of unified modelling language in software development in Greece ?? results from an exploratory study

The Unified Modelling Language (UML) is a language for specifying, visualising, constructing and documenting software systems. The UML proved to be extremely successful and it has achieved tremendous popularity making it the de facto industry standard for object oriented system development. As such, many researchers presented empirical studies on the practical usage of UML but as well criticisms for UML complexity, difficulty to be learnt, etc. Even though a large number of articles and books are devoted to various aspects of UML language, there is little evidence on how UML is used. This study attempts to identify the profile of persons using UML, to pinpoint UML diagrams that are being used and their effectiveness, to discover whether CASE tools are being used and to record the perceived usefulness of UML language. For conducting the study a survey was developed and it was distributed to mailing lists of Greek IT professionals and to university students. The findings indicate that UML is used successfully in the majority of software development projects and that most users perceive UML positively since it supports faster system building, development of higher quality software systems, and for specific cases, it leads to software development cost-decrease.
Mosaic: a non-intrusive complete garbage collector for DSM systems

Little work has been done in garbage algorithms for distributed shared memory systems. Mosaic is a safe and complete garbage collection system that collects garbage in object systems that are implemented above page-based distributed shared memory systems. It is non-intrusive in its impact on application performance. Mosaic partitions the virtual address space into separately managed regions, which form the basic unit of object storage. Garbage collection operates by moving objects between these partitions in a manner that associates live objects together, leaving unreachable objects behind so that partitions may be reused. To provide for safe operation of the collector, a distributed updated protocol maintains sufficient local knowledge of pointer duplication and destruction to allow safe determination of object reachability without the need to globally trace the object space. Mosaic exploits the semantics of pointer operations in type-safe object languages to allow for a weakened consistency model of pointer update during garbage collection.
Toward Training Transformation

This article briefly discusses common themes concerning training transformation shared by articles in this special issue. Themes include: the continuing combat training center revolution, the interplay between theory and practice in military training programs, training as an engineering discipline, the role of training as a contributor to human performance in military operations, the use of training simulations to assess human performance, and data standards. The article emphasizes the need for researchers to better explain and articulate the value and return on investment of training in general and training transformation in particular. Meeting this need will better inform decisions and decision makers in allocating resources to training across the full range of defense requirements.
How we learn variation, optionality and probalility

Variation is controlled by the grammar, though indirectly: it follows automatically from the robustness requirement of learning. If every constraint in an Optimality-Theoretic grammar has a ranking value along a continuous scale, and the disharmony of a constraint at evaluation time is randomly distributed about this value, the phenomenon of optionality in determining the winning candidate follows automatically from the finiteness of the difference between the ranking values of the relevant constraints; the degree of optionality is a descending function of this difference. In the production grammar, a symmetrized maximal gradual learning algorithm will cause the learner to copy the degrees of optionality from the language environment. In the perception grammar, even the slightest degree of noise in constraint evaluation will cause the learner to become a probability-matching listener, whose categorization distributions match the production distributions of the language environment. Evidence suggests that natural learners follow a symmetric demotion-and-promotion strategy, rather than a demotion-only strategy.
Design of a high performance 32/spl times/32-bit multiplier with a novel sign select Booth encoder

In this paper, a high performance 32/spl times/32-bit multiplier for a DSP core is proposed. The multiplier is composed of a novel sign select Booth encoder, an efficient data compressor block with a novel compound full-adder, and a 64-bit conditional sum adder with a separated carry generation block. The proposed 32/spl times/32-bit multiplier is designed by a full-custom method and there are about 28000 transistors in an active area of 1.59 mm/spl times/1.68 mm with 0.6 /spl mu/m CMOS technology. From the experimental results, the multiplication time of the 32/spl times/32-bit multiplier is about 9.8 ns at a 3.3 V power supply, and it consumes about 186 mW at 100 MHz.
Sharp Bounds Between Two Rényi Entropies of Distinct Positive Orders

Many axiomatic definitions of entropy, such as the Renyi entropy, of a random variable are closely related to the $\ell_{\alpha}$-norm of its probability distribution. This study considers probability distributions on finite sets, and examines the sharp bounds of the $\ell_{\beta}$-norm with a fixed $\ell_{\alpha}$-norm, $\alpha \neq \beta$, for $n$-dimensional probability vectors with an integer $n \ge 2$. From the results, we derive the sharp bounds of the Renyi entropy of positive order $\beta$ with a fixed Renyi entropy of another positive order $\alpha$. As applications, we investigate sharp bounds of Ariomoto's mutual information of order $\alpha$ and Gallager's random coding exponents for uniformly focusing channels under the uniform input distribution.