Miracle-dz/UniFAR-FTUs huggingface dataset:
A mixed-method study using a multimedia intervention to explore sex and relationship education within families

Sex education in Britain is poorly practised, in schools as well as in the home. British so called ‘Puritanism’ has been seen as one of the reasons. At a time and age when teenage pregnancy, Sexual Transmitted Infections (STIs) and viruses (AIDS/HIV) are on the increase more attention to the education of sexual behaviour is needed. Government initiatives are leading in that direction for schools as well as families, but it is unclear how these are materialised. Especially, how families discuss sexual matters is underresearched and poorly understood. Therefore, the aims of this study were to explore the potential facilitators and barriers of the communication of sexual topics, with and without the use of a Sex and Relationship Education (SRE) multimedia program, and to explore the impact of this program on the knowledge of sexual issues and concerns. A mixedmethod design was employed by using Strauss and Corbin’s (1998) modified grounded theory to develop a model reflecting the findings. Knowledge was assessed on data gathered from twenty British families over a ten-month period. Using semi-structured interviews, observational field notes and quantitative measures, it was found that trust, respect, spending (leisure) time together and children’s perception of their parents’ sexual knowledge were facilitators for sexual communications. Older siblings and other family members who were regarded as role models also facilitated the discussion of sexual matters. The barriers for discussing sexual issues openly within families included authoritative parenting, lack of parental sexual knowledge, presence of younger siblings and parents’ direct questioning of children’s personal relationships. In light of this, the multimedia program could be beneficial in many more families when initiating and communicating sexual matters.
THE OPERATOR FOR THE CHROMATIC NUMBER OF AGRAPH

We investigate hierarchies of semidefinite approximations for the chromatic number χ(G) of a graph G. We introduce an operator Ψ mapping any graph parameter β(G), nested between the stability number α(G) and χ(G), to a new graph parameter Ψβ(G), nested between α(G) and χ(G); Ψβ(G) is polynomial time computable if β(G) is. As an application, there is no polynomial time computable graph parameter nested between the fractional chromatic number χ∗(·) and χ(·) unless P = NP. Moreover, based on the Motzkin–Straus formulation for α(G), we give (quadratically constrained) quadratic and copositive programming formulations for χ(G). Under some mild assumptions, n/β(G) ≤ Ψβ(G), but, while n/β(G) remains below χ∗(G), Ψβ(G) can reach χ(G) (e.g., for β(·) = α(·)). We also define new polynomial time computable lower bounds for χ(G), improving the classic Lovász theta number (and its strengthenings obtained by adding nonnegativity and triangle inequalities); experimental results on Hamming graphs, Kneser graphs, and DIMACS benchmark graphs will be given in the follow-up paper [N. Gvozdenović and M. Laurent, SIAM J. Optim. , 19 (2008), pp. 592–615].
Structural Modeling and Analysis of Signaling Pathways Based on Petri Nets

The purpose of this paper is to discuss how to model and analyze signaling pathways by using Petri net. Firstly, we propose a modeling method based on Petri net by paying attention to the molecular interactions and mechanisms. Then, we introduce a new notion "activation transduction component" in order to describe an enzymic activation process of reactions in signaling pathways and shows its correspondence to a so-called elementary T-invariant in the Petri net models. Further, we design an algorithm to effectively find basic enzymic activation processes by obtaining a series of elementary T-invariants in the Petri net models. Finally, we demonstrate how our method is practically used in modeling and analyzing signaling pathway mediated by thrombopoietin as an example.
Dexmedetomidine in anesthesia of children submitted to videolaparoscopic appendectomy: a double-blind, randomized and placebo-controlled study.

OBJECTIVES To evaluate the hemodynamic responses to nociceptive stimuli in children submitted to videolaparoscopic appendectomy under balanced anesthesia with isoflurane and dexmedetomidine. METHODS Randomized, double-blind and placebo-controlled study involving 26 children submitted to videolaparoscopic appendectomy carried out at Hospital São Lucas (PUCRS) between May 2004 and February 2005. Patients were assigned to two groups: (a) Dexmedetomidine group (n=13): infusion of 1 microg/kg over 10 minutes and maintenance dose of 0.5 microg/kg/h) as an adjuvant to inhaled isoflurane anesthesia; (b) Control group (n=13): normal saline infusion at a similar rate and volume of the dexmedetomidine infusion. During the different surgical and anesthetic periods, groups were compared regarding heart rate, systolic and diastolic arterial blood pressures as well as need of supplemental fentanyl infusion. Student's t test, ANOVA, and Finner's procedure were used for statistical analysis. RESULTS During the strongest nociceptive stimuli (airway access and abdominal catheter placement), the heart rate and systolic blood pressure increased significantly (p<0.001) in the control group compared to the dexmedetomidine group. Compared to baseline levels, the hemodynamic responses to nociceptive stimuli were more stable when dexmedetomidine was used in combination with inhaled isoflurane anesthesia. The need for supplemental doses of fentanyl and the hemodynamic parameters were similar for both groups. CONCLUSION Dexmedetomidine combined with inhaled isoflurane for anesthesia of children submitted to videolaparoscopic appendectomy, efficiently blocks the hemodynamic responses to nociceptive stimuli. When compared to placebo, the use of dexmedetomidine did not change the need for supplemental doses of fentanyl for maintenance of hemodynamic parameters during the intraoperative period.
Pixel-based pipeline hardware architecture for high-performance Haar-like feature extraction

Feature extraction, which is one of the basic tasks for pattern recognition, has often high computational cost and large memory usage. In this work, we propose a pixel-based pipeline hardware architecture for Haar-like feature extraction, implemented in 0.18 μm CMOS technology with 1.76 mm2 core area. Pixel-input speed relies on the working frequency of the image sensor so that features are extracted in real time without on-chip image buffer and complex computational procedures. The fabricated chip consumes 4.78 mW power at 1.8 V supply voltage and 12.5 MHz frequency during 30 fps VGA video input. Furthermore, a processing time of 3.07 ms per VGA frame with power dissipation of 36.25 mW at 100 MHz frequency is possible.
A Domain Adaptive Approach to Automatic Acquisition of Domain Relevant Terms and their Relations with Bootstrapping

In this paper, we present an unsupervised hybrid text-mining approach to automatic acquisition of domain relevant terms and their relations. We deploy the TFIDF-based term classification method to acquire domain relevant single -word terms. Further, we apply two strategies in order to learn lexico-syntatic patterns which indicate paradigmatic and domain relevant syntagmatic relations between the extracted terms. The first one uses an existing ontology as initial knowledge for learning lexico-syntactic patterns, while the second is based on different collocation acquisition methods to deal with the free-word order languages like German. This domain-adaptive method yields good results even when trained on relatively small training corpora. It can be applied to different real-world applications, which need domain-relevant ontology, for example , information extraction, information retrieval or text classification.
Sub-threshold and near-threshold SRAM design

Voltage scaling is one of the most effective techniques for power reduction in digital VLSI design, however various challenges arise when operating standard SRAM circuits at low voltages. These include loss of static noise margins, extreme fluctuations in device currents under process variations and limitations on the number of cells connected to a single bitline. In this paper, we describe the challenges that arise while operating standard SRAM cells at low supply voltages and review several novel bitcells that have been presented in recent years to deal with these challenges.
The Legume Information System (LIS): an integrated information resource for comparative legume biology

The Legume Information System (LIS) (http://www.comparative-legumes.org), developed by the National Center for Genome Resources in cooperation with the USDA Agricultural Research Service (ARS), is a comparative legume resource that integrates genetic and molecular data from multiple legume species enabling cross-species genomic and transcript comparisons. The LIS virtual plant interface allows simplified and intuitive navigation of transcript data from Medicago truncatula, Lotus japonicus, Glycine max and Arabidopsis thaliana. Transcript libraries are represented as images of plant organs in different developmental stages, which are selected to query the analyzed and annotated data. Complex queries can be accomplished by adding modifiers, keywords and sequence names. The LIS also contains annotated genomic data featuring transcript alignments to validate gene predictions as well as motif and similarity analyses. The genomic browser supports comparative analysis via novel dynamic functional annotation comparisons. CMap, developed as part of the GMOD project (http://www.gmod.org/cmap/index.shtml), has been incorporated to support comparative analyses of community linkage and physical map data. LIS is being expanded to incorporate gene expression and biochemical pathways which will be seamlessly integrated forming a knowledge discovery framework.
PSAllocator: Multi-Task Allocation for Participatory Sensing with Sensing Capability Constraints

This paper proposes a novel multi-task allocation framework, named PSAllocator, for participatory sensing (PS). Different from previous single-task oriented approaches, which select an optimal set of users for each single task independently, PSAllocator attempts to coordinate the allocation of multiple tasks to maximize the overall system utility on a multi-task PS platform. Furthermore, PSAllocator takes the maximum number of sensing tasks allowed for each participant and the sensor availability of each mobile device into consideration. PSAllocator utilizes a two-phase offline multi-task allocation approach to achieve the near-optimal goal. First, it predicts the participants' connections to cell towers and locations based on historical data from the telecom operator; Then, it converts the multi-task allocation problem into the representation of a bipartite graph, and employs an iterative greedy process to optimize the task allocation. Extensive evaluations based on real-world mobility traces show that PSAllocator outperforms the baseline methods under various settings.
POLYESTER-METHACRYLATE EMBEDMENTS FOR ELECTRON MICROSCOPY

It has been found that tissues fixed for electron microscopy and dehydrated in acetone can be embedded in mixtures of n-butyl methacrylate and polyester resin. Activation with 1 per cent tert-butyl hydroperoxide followed by 12 to 48 hours at 60°C produces blocks that section well with glass knives. The ribbons are cleared of methacrylate by heat (200–250°C for 1 hour) and/or immersion in organic solvents (CCL4, acetone-ether). After removal of the methacrylate the residual polyester matrix provides thermostable and insoluble support for the tissue. Its insolubility permits staining by immersion of cleared preparations in organic solvents carrying heavy metal compounds in solution. Clearing by heat stabilizes section-grid relationships. The removal of volatile materials by clearing substantially reduces contamination of both specimen and microscope. Tissue fine structure is well preserved in these preparations.
Modeling of visual servo open-loop for robot manipulators

This paper presents a multivariable open-loop model for visual servoing of robot manipulators using image based strategy. The modeling considers the dynamics of the velocity controlled robot as well as a model of the visual sensor that consists of camera and feature extraction block. Taking into account the velocity dynamics with internal feedback loops, a linearized and decoupled model of the joints was considered. This model, together with the visual sensor model, is used to develop the visual servo open-loop model. Finally, the proposed modeling approach is verified through simulations using a visual servoing toolbox and real images obtained with a 6 degree-of-freedom (DOF) ABB robot with an eye-in-hand camera configuration.
BIMBINGAN BELAJAR UNTUK MEREDUKSI STRES AKADEMIK SISWA

Berbagai tuntutan akademik di lingkungan sekolah yang sangat mempengaruhi prestasi akademiknya, sehingga cenderung menimbulkan dampak-dampak negatif, seperti : (1) merasa tidak bahagia, (2) mudah panik, (3) gelisah, (4) mudah marah, (5) cemas, (6) denyut jantung meningkat, (7) berpikir negatif, (8) mudah tersinggung, (9) prestasi menurun, (10) gugup, (11) takut, (12) berpikir menghadapi jalan buntu, (13) Jenuh/ merasa tidak menikmati hidup, (14) tubuh tidak mampu beristirahat dengan maksimal, (15) sulit mendisiplinkan diri, (16) tidak bisa menentukan prioritas hidup, (17) menyalahkan orang lain, (18) tidak merasakan kepuasaan, (19) mudah lupa, dan (20) merasa diabaikan, menjadi salah satu latar belakang dilakukannya penelitian. Penelitian bertujuan untuk mengetahui gambaran umum stres akademik peserta didik yang dijadikan landasan dalam pengembangan program bimbingan belajar. Penelitian dilakukan terhadap 348 peserta didik kelas VII SMP Negeri 1 Bandung Tahun Ajaran 2013/2014. Pendekatan yang digunakan dalam penelitian adalah kuantitatif dengan metode penelitian deskriptif dengan menggunakan teknik sampling jenuh. Hasil penelitian menggambarkan bahwa terdapat 2,58% siswa didik yang mengalami stres tingkat tinggi, 67,8% siswa mengalami stres tingkat sedang, dan 29,6% siswa mengalami stres tingkat rendah. Rekomendasi dari hasil penelitian sebagai berikut: (1) bagi konselor berupa layanan dasar yang meliputi bimbingan klasikal dan bimbingan kelompok, (2) bagi peneliti selanjutnya diharapkan melakukan uji coba program, guna menguji efektivitas program bimbingan belajar untuk mereduksi stres akademik siswa. The phenomenon of students where they do not feel confident of their own academic potentials leading to negatif effects, namely: (1) feeling unhappy, (2) getting panic easily, (3) feeling anxious, (4) getting angry easily, (5) getting worried, (6) increasing heart beat, (7) thinking negatively, (8) getting offended, (9) decreasing academic achievements, (10) feeling nervous, (11) feeling scared, (12) facing a dead end, (13) getting bored of life, (14) getting restless, (15) prone to be lazy, (16) cannot make priorities in life, (17) blaming other people, (18) feeling unsatisfied with things, (19) bad at remembering things, and (20) feeling abandoned, becomes one of the reasons as to why this study was conducted. This study aims to find out the general description of academic stress of 348 seventh grade students at SMP Negeri 1 Bandung Year 2013/2014. This study employs quantitative approach with descriptive method using questionnaires. It is concluded that there were 2.58% of students having high level of stress, 67.8% having mid-level of stress, and 29.6% having low level of stress. It recommended that: (1) counselors should provide basic service including classical guidance and group counseling, (2) future researchers should do testing programs to test the effectiveness of academic guidance program to reduce academic stress of students.
Interspecies differences in enantioselective mono-N-dealkylation of disopyramide by human and mouse liver microsomes.

The interspecies differences in the enantioselective metabolism of disopyramide (DP) were studied with human and mouse liver microsomes. Mono-N-dealkylation of both DP enantiomers was biphasic, suggesting an involvement of two enzymes in the metabolism in both species. The human data indicated that the metabolism of both DP enantiomers at the therapeutic concentrations (i.e., 5-14 microM) was mediated by the high-affinity components. The mean (+/- S.D.) affinity constant (Km) of the high-affinity component for S-(+)-DP (4.86 +/- 2.66 microM) was significantly (P < .05) lower than that for R-(-)-DP (24.61 +/- 17.52 microM), whereas no difference was observed between the maximum velocities (Vmax) for S-(+)- and R-(-)-DP. The mean intrinsic clearance (CL(int)), defined as Vmax/Km, of the high-affinity component for S-(+)-DP was significantly greater (P < .01) than that for R-(-)-DP, consistent with the reported in vivo pharmacokinetic data. In contrast, the CL(int) of the low-affinity component for R-(-)-DP was significantly (P < .01) greater than that for S-(+)-DP. Coincubation of DP enantiomers as a racemate showed mutual competitive inhibition. With mouse liver microsomes, a preferential metabolism of S-(+)-DP over R-(-)-DP was also observed only for the high-affinity components. Although the mean Vmax for the high-affinity component of mouse microsomes was about 6- to 8-fold greater than that of human's, the differences in Km were at most 2.5-fold. In addition, metabolic competition between the enantiomers also occurred with mouse microsomes. (ABSTRACT TRUNCATED AT 250 WORDS)
Effect of teaching comprehension strategies on the oral narrative skills of kindergarten children

The proposed study investigated the effect of teaching narrative comprehension strategies on the oral narrative abilities of kindergarten children. The sample consisted of 30 children attending two regular kindergarten classes at a French elementary school in the Greater Montreal area. Children from both classrooms were randomly assigned to either a treatment condition or a control condition. Nine books from a children's series written by a single author were used for the intervention. The treatment group received instruction on narrative comprehension strategies using these books. The control group heard the same stories read aloud and participated in general discussions about each story's events, but instruction on comprehension strategies was not provided. The treatment group 'activity sessions' covered, in sequence, four strategies associated with children's narrative skills: analyzing story grammar, recognizing causal relations, identifying characters' internal states, and making predictions about states and events. The final treatment group 'activity session' involved a review of the four strategies and their application to a new story. Pretest and posttest measures of narrative abilities were comprised of a narrative picture sequencing task, responses to narrative comprehension questions, and a narrative retell task. The effect for the story retelling task was significant.
Active Protection of Trusted Security Services

Secure electronic communication relies on the application of cryptography. Recently, there has been an explosion in the growth of Public Key Infrastructure technology, where centralized or partially centralized services provide addresses and keys for participants desiring to establish secure channels with one another. We consider the traffic to and from these servers to be the foundation of the "critical infrastructure" for secure communication. These trusted services are worthy targets for intruders since successful intrusion would have wide-ranging impact. In this paper, we offer a method to detect anomalies in this traffic based on techniques proven in intrusion detection research and products and suggest proper autonomic responses to the anomalies that we can detect. Section
Network Intrusion Detection with Cascading Classification

The KDD99 network intrusion contest and the related intrusion data sets attracted increased attention of the research community. The success rate of contest participants was evaluated in terms of the obtained classification cost. The classification cost of the contest winner was 0.2331, the best approach prior to our work carries the classification cost of 0.2224. We show that a simple approach based on cascading classification leads to the classification cost of 0.2079. Cascading classification is in our case done by applying 2-nearest-neighbor classification. The samples which could not be predicted with 2-nearest-neighbor classification (4-6%) are further classified with a clustering approach with class priority. This clustering approach when applied in isolation under performs other approaches. However, when applied in cascading classification, it can take advantage of the reduced number of samples. We argue that cascading classification is a viable alternative in scenarios where less complex machine learning approaches are favorable, for example due to possible performance degradation in resource constrained devices such as mobile phones, embedded systems or sensors.
On downlink beamforming with indefinite shaping constraints

Beamforming schemes have been proposed to exploit the spatial characteristics of multiple-input single-output (MISO) wireless radio channels. Several algorithms are available for optimal joint beamforming and power control for the downlink. Such optimal beamforming minimizes the total transmission power, while ensuring an individual target quality of service (QoS) for each user; alternatively the weakest QoS is maximized, subject to a power constraint. Herein, we consider both formulations and some of the available algorithms are generalized to enable indefinite quadratic shaping constraints on the beamformers. By imposing such additional constraints, the QoS measure can be extended to take other factors than the customary signal-to-interference-and-noise ratio (SINR) into account. Alternatively, other limitations such as interference requirements or physical constraints may be handled within the optimization. We also consider a more general SINR expression than previously analyzed, which allows for more accurate modeling, e.g., of nonzero self-interference in code-division multiple-access (CDMA) systems. Several applications for indefinite equality or inequality constraints are suggested and evaluated. For example, it is shown how such constraints may be used to ensure a minimum level of path diversity in a CDMA system. Other applications include limiting intercell interference in decentralized systems
Denoising UHF signal for PD detection in transformers based on wavelet technique

Although the UHF technique is immune from electrical interference; communication noises, thermal noise from the detection system, and periodic pulse-shaped noise from thyristor operation are usually found in the UHF signal. In this paper, a method based on discrete wavelet transforms is introduced. Three steps in the de-noising process are studied and discussed. Hundreds of combinations involved in the process are compared. An artificial signal is created by mixing the specific noise with a 'clean' UHF signal. The optimal process and corresponding parameters are defined by comparing the 'clean' signal and the de-noised version of the artificial signal.
Streamers in Gas Discharge

Streamers are ionization waves in gas discharge devices, modelled here as travelling wave solutions of a drift-diiusion model for the transport of electrons and ions. The existence of a certain type of small amplitude streamers is proved by applying results from the theory of singularly perturbed ordinary diierential equations. Global information is obtained from a large activation energy analysis. Aktivierungsenergie.