Miracle-dz/UniFAR-FTUs huggingface dataset:
Rescue personnel localization system

Despite of rapid development in search and rescue robotics, the role of the human being is still very important both in the mission control and in the rescue field. However, robots can support humans in various ways. Combining humans and robots into a telematic system opens new possibilities in the rescue area. This paper explains a possible solution to add humans into a telematic system including robots and telematic mission management. The main requirement for the human cooperation with a rescue telematic system is the accurate localization of the human being. The localization system is based on traditional robotic dead-reckoning sensors like compass, gyro, and accelerometers. Due to the difficult kinematics of a human, there are neither ready nor fully functional solutions for the odometry. This problem is solved by using a self-made stride length measurement unit and laser odometry. The functionality of the integrated system is verified with tests in the European union IST-project called PeLoTe.
Diffusion of indium and gallium in Cu ( In , Ga ) Se 2 thin film solar cells

The diffusion of indium and gallium in polycrystalline thin film Cu(In,Ga)Se2 layers has been investigated. Bilayer structures of CuInSe2 on top of CuGaSe2 and vice versa have been fabricated in both a Cu-rich and Cu-poor process (in relation to the ideal stoichiometry). In each process molybdenum coated soda-lime glass with and without a sodium barrier was used. These bilayers were analyzed with secondary ion mass spectrometry, X-ray diffraction, scanning electron microscope and transmission electron microscope equipped with energy dispersive X-ray spectroscopy. It was found that the grain boundary diffusion was not significantly higher than the diffusion inside the grains, also for Cu-rich layers. The diffusion is suggested to mainly proceed via vacant metal sites in the lattice structure. In sodium free films a higher diffusion into the bottom layers, compared to films with sodium, was seen in all cases. This observation was explained with a larger number of vacancies, that facilitates indium and gallium diffusion, in the sodium free films. The difference in diffusion between indium in CGS layers and gallium in CIS layers, in both Cu-rich and Cu-poor processes, was small for layers with sodium. q 2003 Elsevier Ltd. All rights reserved.
Diffusion-weighted MRS and MRI : methods and neuro applications

Diffusion-weighted magnetic resonance spectroscopy (DW-MRS) can play a key role in understanding neurobiological mechanisms of diseases that affect the human brain. The specific changes that occur within neurons can be reflected as changes in the diffusivity of tNAA, whereas the changes in glial cells can cause pronounced changes in the diffusivities of tCr and tCho. This information combined with that obtained from diffusion tensor imaging (DTI) and other MRI tools can help elucidate various disease processes in the future. The main purposes of this thesis are (i) to investigate neuroanatomy in vivo with DW-MRS, (ii) to develop methodology to enable future clinical applications of the technique in human brain in vivo, and (iii) to characterize the microstructural deficit in neuropsychiatric systemic lupus erythematous (NPSLE) with DW-MRS and other microstructural tools such as DTI and magnetization transfer imaging. The studies presented in this thesis show the robustness and clinical relevance of microstructural information obtained via DW-MRS. The contributions of this thesis such as the optimized acquisition protocols for single volume DW-MRS, the robust DW-CSI and DW-MRS post-processing pipelines that comprise information from DTI, will all facilitate the applications of DW-MRS both for basic neuroscience research and clinical research studies.
Run–time Control of Subthreshold Current using Double–Gate Device Technology

The close link between power and performance represents a significant hurdle to the design of portable embedded systems. As supply voltage falls, thereby saving dynamic power, the impact of threshold voltage on delay becomes greater so that it will become increasingly difficult to set a fixed threshold voltage that optimizes both performance and static power. This paper proposes a method around these conflicting requirements by allowing threshold voltages to be dynamically adjusted at run time via back–gate control on thin–body double–gate Silicon on Insulator (TBDGSOI) transistors. Using a multi–level simulation approach, with SPICE and VHDL-AMS, and using a small RISC microprocessor architecture as an example, it is shown that reductions in subthreshold leakage of between 6X and 11X can be achieved using this run-time control technique under a number of small software workloads.
Capturing Sentence Prior for Query-Based Multi-Document Summarization

In this paper, we have considered a real world information synthesis task, generation of a fixed length multi document summary which satisfies a specific information need. This task was mapped to a topic-oriented, informative multi-document summarization. We also tried to estimate, given the human written reference summaries and the document set, the maximum performance (ROUGE scores) that can be achieved by an extraction-based summarization technique. Motivated by the observation that the current approaches are far behind the estimated maximum performance, we have looked at Information Retrieval techniques to improve the relevance scoring of sentences towards information need. Following information theoretic approach we have identified a measure to capture the notion of importance or prior of a sentence. Following a different decomposition of Probability Ranking Principle, the calculated importance/prior is incorporated into the final sentence scoring by weighted linear combination. In order to evaluate the performance, we have explored information sources like WWW and encyclopedia in computing the information measure in a set of different experiments. The t-test analysis of the improvement on DUC 2005 data set is found to be significant (p ~ 0.05). The same system has outperformed rest of the systems at DUC 2006 challenge in terms of ROUGE scores with a significant margin over the next best system.
Software fault diagnosis

This tutorial paper gives an overview of automated diagnosis applied to software faults. The emphasis is on a particular technique called spectrum-based fault localization, which is well-suited for diagnosing software systems, and which can easily be integrated with existing testing schemes. We discuss applications of the technique, including the specific application domain of embedded software, and provide pointers to recent research on factors that influence its diagnostic accuracy. In addition, we give instructions for quickly getting started with applying spectrum-based fault localization to existing projects.
Third-Party-Elemente in deutschen Bibliothekswebseiten

4753 Webseiten wurden mit der Open-Source-Software webXray auf die Einbindung von Elementen untersucht, durch die Dritte uber den Abruf einer Webseite durch einen Browser von einem Server informiert werden konnen. 54,77 % der analysierten Webseiten wiesen solche Third Party Elements (TPE) auf. 18,94 % setzten Cookies ein, 44,81 % banden Javascript von Drittanbietern ein. Google-Services dominieren die TPE-Anbieterliste, sie werden in 30,02 % der untersuchten Webseiten verwendet.
Academic Motivation among College Students with Math Anxiety: Basis for an Enhancement Program

This study aimed to examine the academic motivation of the students who have fear or who are anxious in Mathematics at Lyceum of the Philippines University-Batangas. Five hundred fifty five (555) students randomly selected by the researchers answered the Math Anxiety questionnaire. Among them, one hundred (100) students are found to have Math Anxiety and those students become involved in the study. The study used quantitative questionnaire which are Math Anxiety Scale and Academic Motivation Scale. Findings revealed that the students with Math Anxiety are extrinsically motivated as identified and extrinsic motivation introjected in Course. Females are more motivated than males.
La evitación social y las relaciones interpersonales de las y los adolescentes del Segundo Año de Bachillerato Paralelos K y L del Colegio Fiscomisional Daniel Álvarez Burneo de la ciudad de Loja. Periodo 2014 - 2015

This thesis research aims to determine the influence social avoidance in relationships of the adolescents; identify social avoidance cases by age and gender; investigate the types of relationships; clarify the causes of social avoidance and finally develop a plan of psychoeducation aimed at improving the social avoidance and strengthen relationships. Inductive-deductive and analytical-synthetic method was used, including techniques and instruments used to achieve the objectives outlined in the research are: the Social Phobia Inventory aimed at identifying cases of social avoidance by age and gender and structured surveys aimed to investigate the types of relationships and also identify the causes of social avoidance. The universe was formed about 480 students in the second year of high school, taking a significant sample of 70 adolescents, a representation of 30% of the total population. According to the results of the occurrence of social avoidance it was demonstrated with a higher prevalence in females, aged between 16 and 18; also a high rate of dependent relationships are determined, also it was identified among the causes of social avoidance, as major affective relationship of the parents; among the most prevalent features are; overprotective, demanding, domineering or authoritarian, little or no emotional parents. Another fundamental cause was also established in relation to humiliating and traumatic events experienced during childhood. (Teasing, contempt, ridicule, rejection, criticism, etc.) KEYWORDS. Social avoidance, Relationships, adolescents.
Automatic Recommendation of Compiler Options

While many optimizations can yield substantial performance improvements under the right circumstances, these same optimizations may cause significant performance degradations or cause other problems under the wrong circumstances. The problem of determining which optimizations to apply is generally relegated to the over-burdened compiler user, who must wade through a daunting set of cryptic documentation to find the right set of compiler switches to use to achieve good performance. In this paper, we address the question of whether this process can be automated. To do so, we developed an automatic options recommender called Dr. Options which attempts to recommend the best options to achieve high performance when using Hewlett-Packard’s PA-RISC optimizing compilers. We have found that Dr. Options recommendations can be substantially better than those which typical users might come up with on their own. Moreover, Dr. Options has proven itself, at the very least, to be a useful consultant for even our most expert in house performance analysts. In a few cases, Dr. Options even beat the experts!
Extraction Techniques for Polycyclic Aromatic Hydrocarbons in Soils

This paper aims to provide a review of the analytical extraction techniques for polycyclic aromatic hydrocarbons (PAHs) in soils. The extraction technologies described here include Soxhlet extraction, ultrasonic and mechanical agitation, accelerated solvent extraction, supercritical and subcritical fluid extraction, microwave-assisted extraction, solid phase extraction and microextraction, thermal desorption and flash pyrolysis, as well as fluidised-bed extraction. The influencing factors in the extraction of PAHs from soil such as temperature, type of solvent, soil moisture, and other soil characteristics are also discussed. The paper concludes with a review of the models used to describe the kinetics of PAH desorption from soils during solvent extraction.
Bioactive Peptides from Marine Sources-A Review

--Marine organisms represent a valuable source of new compounds. The biodiversity of the marine environment and the associated chemical diversity constitute a practically unlimited resource of new active substances in the field of the development of bioactive products. In this paper, the molecular diversity of different marine peptides is described as well as information about their biological properties and mechanisms of action is provided. Moreover, a short review about isolation procedures of selected bioactive marine peptides is offered. Novel peptides from sponges, ascidians, mollusks and seaweeds are presented in association with their pharmacological properties and obtainment methods.
The use of metformin for women with PCOS undergoing IVF treatment.

BACKGROUND Metformin appears to improve reproductive function in some women with polycystic ovary syndrome (PCOS). We wished to explore the effect of metformin in women with PCOS undergoing IVF. METHODS A randomized, placebo-controlled, double-blind study was carried out between 2001 and 2004. Patients with PCOS undergoing IVF/ICSI treatment using a long GnRH agonist protocol were randomized to receive metformin (MET), 850 mg, or placebo (PLA) tablets twice daily from the start of the down-regulation process until the day of oocyte collection. The primary outcome was to be an improvement in the overall fertilization rate. RESULTS One-hundred and one IVF/ICSI cycles were randomized to receive metformin (52) or to receive placebo (49). There was no difference in the total dose of rFSH required per cycle (median dose: MET = 1200 U, PLA = 1300 U; P = 0.937). The median number of oocytes retrieved per cycle (MET = 17.2, PLA = 16.2; P = 0.459) and the overall fertilization rates (MET = 52.9%, PLA = 54.9%; P = 0.641) did not differ. However, both the clinical pregnancy rates beyond 12 weeks gestation per cycle (MET = 38.5%, PLA = 16.3%; P = 0.023) and per embryo transfer (MET = 44.4%, PLA = 19.1%; P = 0.022) were significantly higher in those treated with metformin. Furthermore, a significant decrease in the incidence of severe ovarian hyperstimulation syndrome (OHSS) was observed (MET = 3.8%, PLA = 20.4%; P = 0.023), and this was still significant after adjustment for BMI, total rFSH dose and age (OR = 0.15; 95% CI: 0.03, 0.76; P = 0.022). CONCLUSION Short-term co-treatment with metformin for patients with PCOS undergoing IVF/ICSI cycles does not improve the response to stimulation but significantly improves the pregnancy outcome and reduces the risk of OHSS.
An adaptive significance threshold criterion for massive multiple hypotheses testing

This research deals with massive multiple hypothesis testing. First regarding multiple tests as an estimation problem under a proper population model, an error measurement called Erroneous Rejection Ratio (ERR) is introduced and related to the False Discovery Rate (FDR). ERR is an error measurement similar in spirit to FDR, and it greatly simplifies the analytical study of error properties of multiple test procedures. Next an improved estimator of the proportion of true null hypotheses and a data adaptive significance threshold criterion are developed. Some asymptotic error properties of the significant threshold criterion is established in terms of ERR under distributional assumptions widely satisfied in recent applications. A simulation study provides clear evidence that the proposed estimator of the proportion of true null hypotheses outperforms the existing estimators of this important parameter in massive multiple tests. Both analytical and simulation studies indicate that the proposed significance threshold criterion can provide a reasonable balance between the amounts of false positive and false negative errors, thereby complementing and extending the various FDR control procedures. S-plus/R code is available from the author upon request.
Design and response performance of capacitance meter for stretchable strain sensor

Flexible and stretchable electronics are expected to contribute to electric conductors, sensors and actuators for various applications, such as robotic systems and power-assisted systems. In this study, a stretchable strain sensor is proposed as a length sensor for a pneumatic artificial muscle. To measure the length of the artificial muscle, the stretchable strain sensor is required to have quick response characteristics. A capacitance measurement circuit based on a band-pass filter is analyzed, and is tuned by the parameters of its electric components. The circuit measures the capacitance of the strain sensor with accuracy equivalent to a commercially available LCR meter. We confirm that the combination of the capacitance meter and the strain sensor measures the length of the artificial muscle with a high sampling rate of 10 kHz.
Bringing sex and chronic illness out of the closet: interviewing gay and bisexual men with diabetes

This case study discusses an aspect of the first author’s PhD research that examined gay and bisexual men’s accounts of sex and diabetes. Semi-structured interviews were conducted with non-heterosexual men living with diabetes both online and face-to-face. In this case, we discuss some of the advantages and disadvantages of these two types of interviews and shed light on some of the unexpected events that occurred during data collection. We then consider how some of these incidents may relate to the interviewer’s “outsider” and “insider” positions within the research and discuss how the researcher’s personal similarities and differences with participants may affect research. We then turn to the sensitivities of discussing the issue of sexual difficulties with the participants and the importance of following the participants’ concerns within the interview. We end by reflecting on how the research emerged both from the researchers’ prior agenda and the participants’ concerns. The need for caution and care when representing accounts of illness, particularly those from marginalized groups, is highlighted.
Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities Using Machine Learning

Rigorous identification of vulnerabilities in program code is a key to implementing and operating secure systems. Unfortunately, only some types of vulnerabilities can be detected automatically. While techniques from software testing can accelerate the search for security flaws, in the general case discovery of vulnerabilities is a tedious process that requires significant expertise and time. In this paper, we propose a method for assisted discovery of vulnerabilities in source code. Our method proceeds by embedding code in a vector space and automatically determining API usage patterns using machine learning. Starting from a known vulnerability, these patterns can be exploited to guide the auditing of code and to identify potentially vulnerable code with similar characteristics--a process we refer to as vulnerability extrapolation. We empirically demonstrate the capabilities of our method in different experiments. In a case study with the library FFmpeg, we are able to narrowthe search for interesting code from 6,778 to 20 functions and discover two security flaws, one being a known flaw and the other constituting a zero-day vulnerability.
LEADING EMPLOYEE CREATIVITY: THE RELATIONSHIP BETWEEN LEADERSHIP STYLES AND EMPLOYEE CREATIVITY

Guided by creativity typology suggested by Unsworth (2001), this paper explores the relationship between various transactive leadership, transformational leadership, empowering leadership, and employee creativity. Three propositions are suggested through identifying and comparing mechanisms of different leadership styles to facilitate employee creativity, including that (1) transactional leadership enhances only responsive creativity, (2) transformational leadership enhances responsive creativity and contributory creativity, and (3) empowering leadership enhances every type of creativity.
Immunohistochemically detected high expression of matrix metalloproteinase-2 as predictor of poor prognosis in Duke's B colon cancer.

AIM To demonstrate immunohistochemical expression of matrix metalloproteinase-2 (MMP-2) protein in Duke's B colon cancer and determine its correlation with age, sex, grade, presence of vascular invasion, and patients' overall survival. METHOD The study took place from January 1995 to December 1997. We determined the expression of MMP-2 in 152 formalin-fixed, paraffin embedded specimens of Duke's B colon carcinomas by immunohistochemical analysis using MMP-2 monoclonal antibody. Immunohistochemical expression was scored semiquantitatively. Carcinomas were graded as low or high grade. Survival time was analyzed with Kaplan-Meier method, and the log-rank test was used to assess the differences between groups. Cox proportional hazard regression model was used for multivariate survival analysis. RESULT Univariate analysis showed that positive staining for MMP-2, high histological grade, vascular invasion, male sex, and age>60 years were associated with shorter survival in patients with Duke's B colon cancer (P range from 0.023 to <0.001). Multivariate analysis showed that only MMP-2 overexpression (P<0.001; hazard ratio [HR]=3.64) and vascular invasion (P<0.001; HR=4.27) were associated with shorter overall survival. CONCLUSION Expression of MMP-2 is an important independent indicator of shorter survival in patients with Duke's B colon cancer and should be taken into consideration in decision-making on the use of adjuvant systemic therapy in patients with Duke's B colon cancer.
Automatic Adding License Management Functionality for Android Applications

With the growth of applications on mobile devices, developers can easy distribute their applications by the various software marketplaces. Generally, the applications need some code to execute license management functionality, and so developers must learn how to add such license management code for each software marketplace. This has resulted in increasing complexity and development time of applications. In order to prevent the potential errors or bugs resulted from adding functionality, we designed an automatic process of adding license management code for an application marketplace prototype. Experimental results show the automatic process can repackage hundreds of Android applications efficiently and meet the requirement of the marketplace prototype.
A smart system for driver's fatigue detection, remote notification and semi-automatic parking of vehicles to prevent road accidents

Drowsy driving is one of the main reasons of road accidents. Different techniques have been reported in literature to detect driver's drowsiness, but almost all the prevailing systems only alert the driver if drowsiness is detected. Consequently, the drowsy driver continues driving, with a high risk of devastating accident. In this paper, we proposed and verified an EEG based system which not only alerts the driver by alarm, but also puts the vehicle in semiautomatic parking mode by controlling fuel supply if drowsiness is detected. At the same time, it reports nearby police station by SMS which contains necessary information to take essential steps locating the vehicle. Stored EEG signals, obtained with wireless wearable headsets from numerous subjects in different conditions by different research groups, were used in this work. Power spectrum analyses were carried out in MATLAB to determine the dominant frequency components in the brain signals. The slow wave to fast wave ratios of EEG activities were assessed for a number of epochs to determine driver's drowsiness. GPS and GSM modules were used with Arduino MEGA for tracking, remote notification and servomotor control. Performance of the proposed system was evaluated by stored data which confirmed its feasibility and reliability.