Miracle-dz/UniFAR-FTUs huggingface dataset:
MAPCUMBA: A fast iterative multi-grid map-making algorithm for CMB experiments

The data analysis of current Cosmic Microwave Background (CMB) experiments like BOOMERanG or MAXIMA poses severe challenges which already stretch the limits of current (super-) computer capabilities, if brute force methods are used. In this paper we present a practical solution for the optimal map making problem which can be used directly for next generation CMB experiments like ARCHEOPS and TopHat, and can probably be extended relatively easily to the full PLANCK case. This solution is based on an iterative multi-grid Jacobi algorithm which is both fast and memory sparing. Indeed, if there areNtod data points along the one dimensional timeline to analyse, the number of operations is of O(Ntod lnNtod) and the memory requirement is O(Ntod). Timing and accuracy issues have been analysed on simulated ARCHEOPS and TopHat data, and we discuss as well the issue of the joint evaluation of the signal and noise statistical properties.
Human Sexuality in the Social Work Curriculum.

Social work must address itself to educating students in the field of human sexuality if it is to prepare them to deal adequately with the problems of the family, adolescence, mental health, etc. Social work has a limited literature in this area, and only recently have the curricula of schools of social work begun to reflect the interest in human sexuality. In this study, forty social work students were tested to determine how their SKI (Sex Knowledge Inventory) scores compared with those of other professional students. Tests revealed the social work student was not as knowledgeable as the student of medicine, law, or nursing.
The GenVoca model of software-system generators

An emerging breed of generators synthesize complex software systems from libraries of reusable components. These generators, called GenVoca generators, produce high-performance software and offer substantial increases in productivity. GenVoca is a blueprint for creating domain-specific software component technologies. Predator and Adage are based directly on GenVoca. Experimental evidence from the Predator project supports claims of performance and productivity with this model. <<ETX>>
Adsorption Properties and Activities of Lipase on a Gold Substrate Modified by Self-assembled Monolayers

The adsorption properties, amount and specific activity of lipase D from Rhizopus delemar were investigated by employing a gold substrate modified with seven kinds of thiol monolayer. Quartz crystal microbalance measurements revealed that the amount of the enzyme adsorbed to the hydrophobic monolayers (e.g. benzenethiol) was much higher than that to the hydrophilic monolayers (e.g. 3-mercaptopropanoic acid). In contrast, lipase D adsorbed to the hydrophilic, 2-amino-1-ethanethiol monolayer showed the highest specific activity, the value being 300-fold higher than for the same enzyme dissolved in an aqueous medium.
Coaches’ Views of Risk, Pain, and Injury in Sport, with Special Reference to Gender Differences

The main purpose of this paper is to consider the extent to which college coaches subscribe to a set of beliefs in the culture of sport concerning risk, pain, and injury. These beliefs were derived from a prior content analysis of Sports Illustrated. A secondary purpose of this paper is to consider whether gender makes a difference in how coaches think about risk, pain, and injury. The data are from a survey of coaches at a medium-size (11,500-student) comprehensive university in the southeastern United States. The results showed ambivalence among coaches in their views of risk, pain, and injury, which suggested the existence of a risk–pain–injury paradox.
Synchronizing edits in distributed storage networks

We consider the problem of synchronizing data in distributed storage networks under edits that include deletions and insertions. We present modifications of codes on distributed storage systems that allow updates in the parity-check values to be performed with one round of communication at low bit rates and a small storage overhead. Our main contributions are novel protocols for synchronizing both frequently updated and semi-static data, and protocols for data deduplication applications, based on intermediary coding using permutation and Vandermonde matrices.
Cooperative software multithreading to enhance utilization of embedded processors for network applications

Multithreading is an efficient way to improve efficiency of processor cores in embedded products for networking infrastructures. To make such improvements also accessible to processor cores without hardware support for multithreading, we present a concept for efficient software multithreading through compiler post-pass optimization of the application code. Our approach aims at reducing the overhead for cooperative multithreading context switches at compile time by using standard compiler techniques such as context-insensitive analysis. Additionally, register usage is rearranged to reduce the amount of context-switch code by exploiting multiple-load/store instructions. Performance model analysis encourages the use of software multithreading to improve processor utilization by showing the benefit of our approach. We present results obtained by an implementation for the PowerPC ISA (Instruction Set Architecture) using the code of a real network application (iSCSI). We were able to reduce the expected run-time of a context switch to as little as 38% of the original.
An automatic DC-Offset cancellation method and circuit for RF transceivers

This paper presents a novel low-cost automatic DC-Offset cancellation method and circuit for DAC in RF transmitter. The automatic DC-Offset cancellation block consists of one voltage comparator, one 5-bit R-2R auxiliary DAC and a SAR digital block. The proposed DC-Offset cancellation works during power-on sequence, then stores the value of control word in registers and shuts down the comparator and SAR block to save power after the cancellation operation. Unlike other methods, the proposed method has no influence on the desired signal, and does not disturb the work of transceiver. The proposed block is fabricated in 0.13um CMOS process as one sub-block of a RF transceiver. It occupies only 100um * 200um active area, and consumes only 100uA current under 1.2 V power supply. It is a low-cost solution for cancelling DC-Offset voltage both in receivers and transmitters.
Transcription of thyroid autoantigens in non-expressing tissues

Reverse transcriptase- polymerase chain reaction (RT-PCR) enhances the probability of detecting rare transcripts in complex mixtures of mRNA. Using thyroid autoantigens and the controversy about the role of the TSH-receptor (TSH-R) in thyroid-associated ophthalmopathy as an example, this study demonstrates the problems of interpreting RT-PCR results in typically non-expressing tissues resulting from the extremely high sensitivity of the method. Unexpected transcripts for thyroperoxidase, thyroglobulin, TSH-R (exon 1-4, 354 bp), FSH-receptor, or insulin fragments were demonstrated in a number of thyroid or orbit-derived as well as unrelated tissues or cell types. Unexpected transcripts were most prevalent in fibroblasts, irrespective of the tissue of origin and most likely caused by ectopic transcription. To establish a physiological significance of rare transcripts such as the TSH-R in orbital tissues, demonstration of the protein in addition to the positive RT-PCR results is needed.
IS-Micro-macro : From Discrete Particles to Continuum Models of Granular Mechanics

MercuryDPM is a particle-simulation software developed open-source by a global network of researchers. It was designed ab initio to simulate realistic geometries and materials, thus it contains several unique features not found in any other particle simulation software. These features have been discussed in a companion paper published in the DEM7 conference proceedings; here we present several challenging setups implemented in MercuryDPM. Via these setups, we demonstrate the unique capability of the code to simulate and analyse highly complex geotechnical and industrial applications. The setups implemented include complex geometries such as (i) a screw conveyor, (ii) steady-state inflow conditions for chute flows, (iii) a confined conveyor belt to simulate a steady-state breaking wave, and (iii) a quasi-2D cylindrical slice to efficiently study shear flows. MercuryDPM is also parallel, which we showcase via a multi-million particle simulations of a rotating drum. We further demonstrate how to simulate complex particle interactions, including: (i) deformable, charged clay particles; and (ii) liquid bridges and liquid migration in wet particulates, (iii) non-spherical particles implemented via superquadrics. Finally, we show how to analyse and complex systems using the unique micro-macro mapping (coarse-graining) tool MercuryCG.
Potential Uses for Cord Blood Mesenchymal Stem Cells

Stem cell therapy is a powerful technique for the treatment of a number of diseases. Stem cells are derived from different tissue sources, the most important of which are the bone marrow (BM), umbilical cord (UC) blood and liver. Human UC mesenchymal stem cells (hUC-MSCs) are multipotent, non-hematopoietic stem cells that have the ability to self-renew and differentiate into other cells and tissues such as osteoblasts, adipocytes and chondroblasts. In a number of reports, human and mouse models of disease have hUC-MSCs treatments. In this article, we review studies that pertain to the use of hUC-MSCs as treatment for diseases.
Work in progress — Developing and implementing an Inverted Classroom for Engineering Statics

Motivated by other recent work, we developed, implemented, and began assessment of an Inverted Classroom model for Engineering Statics at UPRM. The model consists of (1) a set of pre-Lecture Modules and Exercises, delivered online; (2) a Lecture that responds to the students' experience in the preLecture activities, and (3) a Problem-Solving Session after each Lecture. Assessment results from a student survey and an administration of the Concept Assessment Tool for Statics (CATS) were generally positive. The class format, assessment methods, and assessment results are described. A discussion is also provided to indicate how the Inverted model might be implemented for use to unify the delivery of Statics at UPRM.
WOW: wild-open warning for broadcast basketball video based on player trajectory

In basketball games, wild-open means that there is an offensive player not well defended by his/her opponents. The occurrence of wild-open usually implies the existence of a successful offense tactic. In this paper, a Wild-Open Warning (WOW) system is designed to assist basketball coaches/players in revealing possible tactics of their opponents through watching the broadcast game videos. The system automatically extracts semantic objects such as the court and the players in the video, and calibrates the players' positions to the real-world court coordinates. A robust and efficient algorithm for court detection and camera calibration is proposed for basketball videos. Wild-open is detected when the position of an offensive player satisfies three predefined criteria. In the mean time, the system will mark the wild-open players to warn the viewers such that they should keep attention to certain players.
Efficient multi-account detection on UGC sites

This work presents a novel writing style-based approach to detect multi-account users on User-Generated Content (UGC) sites. Unlike existing works which emphasize feasibility and privacy leakage, we focus on precise writing style-based multi-account detection. Specifically, we leverage a one-class classification-based approach to detect multi-account behaviors, in which a mutual similarity measurement is defined to increase detection precision. In addition to traditional features used in writing style detection, we also extract bigrams, trigrams, part-of-speech, and grammatical relations. We evaluate our methodology based on datasets crawled from 3 popular OSNs (i.e., Twitter, Facebook, and Google+). Experimental results demonstrate that compared with the most recent achievements, our method not only improves the average detection precision to almost 90%, but also increases both recall and F-measure to 90% and even better.
Geological and Geochemical Characteristics of Granitoids in the Eastern Tauride Belt, Southeastern Turkey

As a consequence of plate convergence and continental collision, widespread magmatism occurred in the Malatya-Elazig area of the eastern Tauride belt. Igneous activities in the study area can be subdivided into two separate phases, the Baskil and Bilaser Tepe complexes. The present study particularly focuses on these granitoid associations. The Late Cretaceous granitoid associations exhibit calc-alkaline and tholeiitic major-oxide trends. Baskil granitoids consist primarily of quartz, plagioclase, and hornblende, with relatively lesser amounts of orthoclase. Bilaser Tepe granitoids are mainly composed of quartz, orthoclase, plagioclase, hornblende, and biotite. Oxides and apatite are common accessory phenocrysts in both granitoids. Based on petrographic and bulk-rock geochemical data, Baskil granitoids are classified as quartz-diorite, quartz-monzodiorite, and tonalite, whereas Bilaser Tepe granitoids are granodiorite and tonalite. Both units have peraluminous and metaluminous compositions. Trace-element plots indicate that the Baskil granitoids have geochemical features similar to I-type granitoids derived from island-arc settings. The Bilaser Tepe granitoids exhibit both I- and S-type characteristics, suggesting a post-collisional origin. Baskil magmatism is interpreted as arc magmatism related to Late Cretaceous convergence between the Keban microcontinent and the southern branch of Neo-tethys. This magmatic phase was followed by collision between the Keban microcontinent and the Bitlis-Pütürge massif. Continental collision resulted in crustal thickening. Subsequently, the Bilaser Tepe granitoids were intruded, signifying post-collisional tectonic setting in the Malatya-Elazig area. Consequently, the petrological and geochemical data are consistent with the geodynamic model of the eastern Taurus.
Shape-and-Behavior Encoded Tracking of Bee Dances

Behavior analysis of social insects has garnered impetus in recent years and has led to some advances in fields like control systems and flight navigation. Manual labeling of insect motions required for analyzing the behaviors of insects requires significant investment of time and effort. In this paper, we propose certain general principles that help in simultaneous automatic tracking and behavior analysis, with applications in tracking bees and recognizing specific behaviors that they exhibit. The state space for tracking is defined using the position, orientation, and current behavior of the insect being tracked. The position and the orientation are parameterized using a shape model, whereas the behavior is explicitly modeled using a three-tier hierarchical motion model. The first tier (dynamics) models the local motions exhibited, and the models built in this tier act as a vocabulary for behavior modeling. The second tier is a Markov motion model built on top of the local motion vocabulary, which serves as the behavior model. The third tier of the hierarchy models the switching between behaviors, and this is also modeled as a Markov model. We address issues in learning the three-tier behavioral model, in discriminating between models, and in detecting and modeling abnormal behaviors. Another important aspect of this work is that it leads to joint tracking and behavior analysis instead of the traditional "track-and-then-recognize" approach. We apply these principles for tracking bees in a hive while they are executing the waggle dance and the round dance.
Pluggable type-checking for custom type qualifiers in Java

We have created a framework for adding custom type qualifiers to the Java language in a backward-compatible way. The type system designer defines the qualifiers and creates a compiler plug-in that enforces their semantics. Programmers can write the type qualifiers in their programs and be informed of errors or assured that the program is free of those errors. The system builds on existing Java tools and APIs. In order to evaluate our framework, we have written four type-checkers using the framework: for a non-null type system that can detect and prevent null pointer errors; for an interned type system that can detect and prevent equalitychecking errors; for a reference immutability type system, Javari, that can detect and prevent mutation errors; and for a reference and object immutability type system, IGJ, that can detect and prevent even more mutation errors. We have conducted case studies using each checker to find real errors in existing software. These case studies demonstrate that the checkers and the framework are practical and useful.
Learning Language from a Large (Unannotated) Corpus

A novel approach to the fully automated, unsupervised extraction of dependency grammars and associated syntax-to-semantic-relationship mappings from large text corpora is described. The suggested approach builds on the authors' prior work with the Link Grammar, RelEx and OpenCog systems, as well as on a number of prior papers and approaches from the statistical language learning literature. If successful, this approach would enable the mining of all the information needed to power a natural language comprehension and generation system, directly from a large, unannotated corpus.
Lights and Shadows of Cyclophosphamide in the Treatment of Multiple Sclerosis

Cyclophosphamide (cy) is an alkylating agent used to treat malignancies and immune-mediated inflammatory nonmalignant processes. It has been used as a treatment in cases of worsening multiple sclerosis (MS). Cy is currently used for patients whose disease is not controlled by beta-interferon or glatiramer acetate as well as those with rapidly worsening MS. The most commonly used regimens involve outpatient IV pulse therapy given with or without corticosteroids every 4 to 8 weeks. Side effects include nausea, headache, alopecia, pain, male and women infertility, bladder toxicity, and risk of malignancy. Previous studies suggest that cy is effective in patients in the earlier stages of disease, where inflammation predominates over degenerative processes. Given that early inflammatory events appear to correlate with later disability, a major question is whether strong anti-inflammatory drugs, such as cy, will have an impact on later degenerative changes if given early in the disease to halt inflammation.
Glycemic/metabolic responses to identical meal tolerance tests at breakfast, lunch and dinner in Japanese patients with type 2 diabetes mellitus treated with a dipeptidyl peptidase-4 inhibitor and the effects of adding a mitiglinide/voglibose fixed-dose combination

Background: The effects of the mitiglinide/voglibose fixed-dose combination on postprandial glycemic/metabolic responses in patients with type 2 diabetes mellitus (T2DM) treated with dipeptidyl peptidase-4 (DPP-4) inhibitors are unknown. Methods: Twelve T2DM patients treated with a DPP-4 inhibitor underwent identical meal tolerance tests (MTTs) at breakfast, lunch and dinner, before and 2 – 3 weeks after treatment with a fixed-dose combination of mitiglinide 10 mg and voglibose 0.2 mg (combination). Patients were randomized in a cross-over fashion to administer the combination either three-times-daily before each meal or twice-daily before breakfast and dinner. Glycemic/metabolic responses were evaluated at 0, 30, 60 and 120 min in each MTT. Results: Three-times-daily administration of the combination significantly suppressed postprandial hyperglycemia after each meal, particularly after lunch and dinner. Active glucagon-like peptide-1 levels increased significantly after each meal, as did early-phase insulin secretion without excessive insulin secretion. Postprandial hyperglycemia after lunch was significantly greater after twice-daily than three-times-daily administration, but there were no clinically relevant differences in other metabolic responses. Conclusion: This study revealed that adding the mitiglinide/voglibose combination to a DPP-4 inhibitor elicited additive improvements in postprandial glycemic/metabolic responses assessed using MTTs at breakfast, lunch and dinner with identical meal compositions.
Visual‐field‐specific heterogeneity within the tecto‐rotundal projection of the pigeon

The organization of the tecto‐rotundal projection of the pigeon was investigated by means of anterograde and retrograde tracing techniques. Besides the known organization in tecto‐rotundal connectivity, this study additionally demonstrates major variations in the ascending projections of different tectal subfields. We show that the ventral tectum opticum (TO) has significantly more projections onto the nucleus rotundus (Rt) than dorsal tectal areas. This difference coincides with differential innervation densities of afferent fibres within rotundal subregions. While ventral tectal efferents project onto the ventral and central Rt, dorsal tectal efferents mainly arborize within limited areas between the central Rt and its dorsal cap, the nucleus triangularis. Thus, the ventral TO, representing the lower and frontal field of view, exhibits a quantitatively and spatially enhanced projection onto the Rt, as compared with the dorsal TO. The data presented here demonstrate a visual field‐dependent projection pattern of ascending tectal outputs onto different rotundal domains. The data are consistent with behavioural studies, demonstrating tectofugal lesions to suppress visual stimulus analysis mainly within the frontal field of view.
The DSM: mindful science or mindless power? A critical review

In this paper we review the Diagnostic and Statistical Manual of mental health (DSM), its scientific bases and utility. The concepts of “normality,” “pathology,” and boundaries between them are critically reviewed. We further use the concepts of mindfulness and mindlessness, and evidence from cognitive and social sciences to investigate the DSM clinical and social impact and we argue against its assigned overpower. We recommend including alternative perspectives to the DSM, such as mindfulness and positive psychology. We also argue for including mindfulness training in psychiatric residency and clinical psychology programs.
Recurrent neural network language model with structured word embeddings for speech recognition

Due to effective word context encoding and long-term context preserving, recurrent neural network language model (RNNLM) has attracted great interest by showing better performance over back-off n-gram models and feed-forward neural network language models (FNNLM). However, it still has the difficulty of modelling words of very low frequency in training data. To address this issue, a new framework of structured word embedding is introduced to RNNLM, where both input and target word embeddings are factorized into weighted sum of the corresponding sub-word embeddings. The framework is instantiated for Chinese, where characters can be naturally used as the sub-word units. Experiments on a Chinese twitter LVCSR task showed that the proposed approach effectively outperformed the standard RNNLM, yielding a relative PPL improvement of 8:8% and an absolute 0:59% CER improvement in N-Best re-scoring.