Miracle-dz/UniFAR-FTUs huggingface dataset:
T‐cell intravascular lymphomatosis (angiotropic large cell lymphoma): association with Epstein–Barr viral infection

Intravascular lymphomatosis (IVL) is a very rare non‐Hodgkin's lymphoma characterized by proliferation of lymphoma cells in the vascular lumina without involvement of adjacent parenchymal tissue. IVL is predominantly of B‐cell lineage, but occasional cases of T lineage IVL involving almost exclusively the skin have been described. A case of IVL that occurred initially in the epididymis of a patient with an antecedent nasopharyngeal carcinoma was studied to define the clinicopathological features associated with this unique presentation.
Unified Parameter Decoder Architecture for H.265/HEVC Motion Vector and Boundary Strength Decoding

In this paper, VLSI architecture design of unified motion vector (MV) and boundary strength (BS) parameter decoder (PDec) for 8K UHDTV HEVC decoder is presented. The adoption of new coding tools in PDec, such as Advanced Motion Vector Prediction (AMVP), increases the VLSI hardware realization overhead and memory bandwidth requirement, especially for 8K UHDTV application. We propose four techniques for these challenges. Firstly, this work unifies MV and BS parameter decoders for line buffer memory sharing. Secondly, to support high throughput, we propose the top-level CU-adaptive pipeline scheme by trading off between implementation complexity and performance. Thirdly, PDec process engine with optimizations is adopted for 43.2k area reduction. Finally, PU-based coding scheme is proposed for 30% DRAM bandwidth reduction. In 90 nm process, our design costs 93.3k logic gates with 23.0 kB line buffer. The proposed architecture can support real-time decoding for 7680x4320@60fps application at 249 MHz in the worst case. key words: UHDTV, H.265/HEVC, parameter decoder, motion vector, boundary strength
Uses of Social Silence in the Interpersonal Dynamics of Community Language Learning

Japanese, American, and Spanish CLL (Community Language Learning) groups engage in foreign language learning with a different reaction to silence. These reactions may be due to cultural or other causes, but the focus of this article is on silence as a psychodynamic phenomenon, "what goes on inside and between folks (Stevick 1976: 119). " The purpose of this article is to show how teachers can use social silence to promote speaking ability. Social silence in the interpersonal dynamics of CLL refers to silence on the part of the teacher, students, or when called for by the CLL contract, for example, during reflection periods. First, affective binds connected with social silence are shown in three types of CLL group conversation experiences. Second, some CLL constructs are explained in order to show how teachers can use social silence to help their students. Third, it is argued that the use of social silence leads to the solution of affective binds and progress through the five CLL language learning stages. Teachers who are unable to use CLL should become aware of psychodynamic factors, such as social silence, in the teaching relationship. The result will be a more effective learning relationship with the students.
A novel compact reconfigurable multi-band antenna

A novel compact antenna with the ability of reconfigurable multi-band applications is proposed. This achieved by integrate the compact 38mm × 38mm antenna with three RF switches. The activation of particular RF switches arrangement would then determine the frequency flexibility. The presented antenna competents to execute up to five multi-bands. The operating frequencies are band 1 (2.72 – 11.8GHz), band 2 (2.4 – 4GHz, 5.3 – 11.6GHz), band 3 (2.7 – 6.5GHz, 7.1 – 11.6GHz), band 4 (2.7 – 4.4GHz, 5.2 – 6.5GHz, 7.1 – 11.7GHz) and band 5 (2.6 – 3.5GHz, 4.8 – 7.0GHz, 7.4GHz – 11.5GHz). The presented antenna generates a proficient divisive radiation pattern at frequencies of 3 GHz, 6 GHz and 9 GHz. The developed antenna has great potential for military and cognitive radio applications.
Iss u es

Since the last update of the International Committee of Medical Journal Editors (ICMJE)1 recommendations, which we at REVISTA ESPAÑOLA DE CARDIOLOGÍA adopted,2-5 one of the most important contributions to this field has been the suggestion that that all clinical trials (CT) should be “registered” prior to definitive publication in biomedical journals.6-11 The ICMJE believes that from their very inception CTs need to be registered in public databases that are easily accessible both to authors, researchers, and regulatory agencies as well as the general public. The principal objective of this initiative is to improve the trials’ credibility when finally published and guarantee that the methodology employed, results, and scientific information generated should be freely available for analysis by the international scientific community. The very definition of CTs has raised controversy. A CT could be defined broadly as “a research study in human volunteers to answer specific health questions. ”7 This initial definition would include observational trials and interventional trials without control groups, too. However, from the editorial point of view, and bearing in mind the implications we shall now consider, the definition proposed by the ICMJE is more pragmatic and also more acceptable.11 Thus, the CT is defined as any research project that prospectively allocates subjects to a particular intervention or comparison group to study the cause-effect relationship between a medical intervention and a health outcome.11 Such interventions include drugs, surgical procedures, and devices, as well as behavioral treatments or process-of-care changes.11 In the present article we review: a) principal biases in medical research that affect CTs; b) recommendations to improve the description of CTs in biomedical journals; c) general implications derived from the initiative to register CTs; and d) adapting REVISTA ESPAÑOLA DE CARDIOLOGÍA editorial policy. CLINICAL TRIALS AND BIAS IN RESEARCH AND PUBLICATION
Comparison of Two Alternate Methods for Distributed Forward Dynamic Simulation of a Four-Bar Linkage

In this paper, we examine the modular development of two alternate methods for distributed computation of the forward dynamics simulations of constrained mechanical systems such as four-bar linkages. We exploit the natural spatial parallelism of closed-chain linkages, initially, for the modular development of overall dynamics and subsequently, for the distributed numerical simulation of the dynamics. Traditionally, the numerical simulation problem of constrained mechanical systems has been treated as two separate stages: the problem of algorithm development and the subsequent numerical problem of advancing the discretized differential equations in time. However the potential numerical instabilities arising from the formulation stiffness of the algorithm development stage has the potential to hinder the subsequent numerical integration stage. These aspects are also explored during the evaluation of the two alternative approaches for the distributed forward dynamics simulation of a four-bar linkage and preliminary results to quantify the overall computational efficiency and accuracy are presented.
Assessing Excess Nurse Work Load Generated by Multiresistant Nosocomial Bacteria in Intensive Care

Abstract Objective: To compare three methods for assessing the excess nurse work load related to recommended procedures for managing nosocomial infections (NI) due to multiresistant bacteria (MRB): two activity scores, the Omega score and the Projet de Recherche en Nursing (PRN) system, and a specific evaluation based on functional analysis of nursing procedures. Setting: 10 beds in a medical intensive care unit (MICU). Patients: Patients admitted from November 15,1995, to June 15, 1996, were included and divided in two groups based on presence of MRB colonization or infection (MRB+ and MRB− groups). Methods: Data were collected regarding length of stay (LOS) in days; Omega score for the entire stay; PRN score for the entire stay and per day; and time required to perform correctly four nursing procedures related to MRB NI, as evaluated specifically by the nursing staff, using a detailed functional analysis document that described all elementary nursing tasks in chronological order and all material needed to carry out those tasks. Results: The LOS and total Omega and PRN scores were higher in the MRB+ group than in the MRB− group: LOS, 23±20.6 versus 12±15.3 days, (P<.001); Omega score, 164±103.4 versus 123±93.7 points (P<.001); PRN score, 3,606±3,187 versus 1,854±2,356 points (P<.001), respectively. The daily PRN score was also higher in MRB+ group (PRN, 160±25 vs 146±34 points in the MRB− group; P<.028). Four nursing procedures made necessary by MRB acquisition were identified: isolation precautions, with two levels according to whether the risk of contamination was mild-moderate or high; bathing the patient with antiseptic solution;, bedpan management; and microbiological screening. The functional analysis indicated that the time needed to carry out these four procedures correctly was 245 minutes per patient per day, as compared to 85 minutes according to the PRN system. Conclusions: Our data confirm that MRB NIs are responsible for an increase in nurse work load, as estimated by LOS, Omega, and PRN scores. However, the daily excess nurse work load related directly to recommended procedures for managing MRB NIs in MICUs is underestimated by these activity scores, as compared to a specific functional analysis of nursing tasks. This may be of importance in evaluating potential links between nurse work load and MRB NIs and in determining the number of nurse hours needed to comply with infection control recommendations.
Recent Progress of Development of Optogenetic Implantable Neural Probes

As a cell type-specific neuromodulation method, optogenetic technique holds remarkable potential for the realisation of advanced neuroprostheses. By genetically expressing light-sensitive proteins such as channelrhodopsin-2 (ChR2) in cell membranes, targeted neurons could be controlled by light. This new neuromodulation technique could then be applied into extensive brain networks and be utilised to provide effective therapies for neurological disorders. However, the development of novel optogenetic implants is still a key challenge in the field. The major requirements include small device dimensions, suitable spatial resolution, high safety, and strong controllability. In this paper, I present a concise review of the significant progress that has been made towards achieving a miniaturised, multifunctional, intelligent optogenetic implant. I identify the key limitations of current technologies and discuss the possible opportunities for future development.
Long‐term cryopreservation of pyramidalis muscle specimens as a source of striated muscle stem cells for treatment of post‐prostatectomy stress urinary incontinence

Stem‐cell injection into the degenerated external urethral sphincter is a new treatment modality for stress urinary incontinence (SUI). We examined the possibility of long‐term cryopreserved pyramidalis muscle (PM) specimens as a source of striated muscle stem cells for the treatment of post‐prostatectomy SUI.
Induced current constraints and capacitance effects in inductive nerve stimulation

It is found tha purely inductive stimulation of the frog sciatic nerve and gastrocnemius muscle using unshielded or shielded whole toroids cannot be achieved with techniques and electromotive force (EMF) intensities and durations consistent with previously published reports. In the instances where stimulation is achieved, the findings suggest that it results from capacitive coupling between unshielded toroids and a nerve/grounding electrode. Maximum primary voltages range up to 80 V. Corresponding secondary EMFs and pulse durations are as much as 5 V and 100 mu s, respectively, in different experiments. Stimulating capacitive current densities near the nerve are estimated to be in the range of 100 to 400 mA/cm/sup 2/, while maximum induced current densities are estimated to be in the range of 10 to 30 mA/cm/sup 2/ for the same pulse duration. <<ETX>>
Series PHYSICAL AND PSYCHOLOGICAL VICTIMIZATION , STRAINED RELATIONSHIPS , AND YOUNG ADULTS ’ DEPRESSIVE SYMPTOMS

Interpersonal violence peaks during the early adult years and may have implications for the wellbeing of female and male victims. Drawing on relational theory and data from the Toledo Adolescent Relationships Study (TARS) (n = 984), we examined associations between intimate partner victimization, indicators of strained relationships, and depressive symptoms. In zeroorder models, we found that both physical and psychological victimization increased depressive symptoms. Including strained relationship measures attenuated the effects of physical and psychological victimization on depression. Moreover, the effect of physical victimization is significant at above average levels of respondent control, respondent jealousy, and obsessive love. The associations between both types of victimization and depressive symptoms did not differ by gender, nor were the effects of relationship strain conditional on gender. These findings contribute to our understanding of the links between victimization and well-being.
mwetoolkit: a Framework for Multiword Expression Identification

This paper presents the Multiword Expression Toolkit (mwetoolkit), an environment for type and language-independent MWE identification from corpora. The mwetoolkit provides a targeted list of MWE candidates, extracted and filtered according to a number of user-defined criteria and a set of standard statistical association measures. For generating corpus counts, the toolkit provides both a corpus indexation facility and a tool for integration with web search engines, while for evaluation, it provides validation and annotation facilities. The mwetoolkit also allows easy integration with a machine learning tool for the creation and application of supervised MWE extraction models if annotated data is available. In our experiment, the mwetoolkit was tested and evaluated in the context of MWE extraction in the biomedical domain. Our preliminary results show that the toolkit performs better than other approaches, especially concerning recall. Moreover, this first version can also be extended in several ways in order to improve the quality of the results.
Experience report: Haskell in the 'real world': writing a commercial application in a lazy functional lanuage

I describe the initial attempt of experienced business software developers with minimal functional programming background to write a non-trivial, business-critical application entirely in Haskell. Some parts of the application domain are well suited to a mathematically-oriented language; others are more typically done in languages such as C++. I discuss the advantages and difficulties of Haskell in these circumstances, with a particular focus on issues that commercial developers find important but that may receive less attention from the academic community. I conclude that, while academic implementations of "advanced" programming languages arguably may lag somewhat behind implementations of commercial languages in certain ways important to businesses, this appears relatively easy to fix, and that the other advantages that they offer make them a good, albeit long-term, investment for companies where effective IT implementation can offer a crucial advantage to success.
Compressive Random Access for MTC in Distributed Input Distributed Output Systems

We study random access for machine-type commu- nications (MTC) based on the notion of compressive sensing (CS) over a distributed input distributed output (DIDO) system consisting of a number of remote radio heads (RRHs) that are closely located to devices. In a DIDO system, each active device can have a signature that depends on its connectivity to RRHs and the signatures of active devices are estimated and used for signal detection in random access using a CS algorithm. We derive a relation between key parameters such as the average number of active devices and the number of the outputs of a DIDO system for a good performance.
Microglia promote colonization of brain tissue by breast cancer cells in a Wnt‐dependent way

Although there is increasing evidence that blood‐derived macrophages support tumor progression, it is still unclear whether specialized resident macrophages, such as brain microglia, also play a prominent role in metastasis formation. Here, we show that microglia enhance invasion and colonization of brain tissue by breast cancer cells, serving both as active transporters and guiding rails. This is antagonized by inactivation of microglia as well as by the Wnt inhibitor Dickkopf‐2. Proinvasive microglia demonstrate altered morphology, but neither upregulation of M2‐like cytokines nor differential gene expression. Bacterial lipopolysacharide shifts tumor‐educated microglia into a classical M1 phenotype, reduces their proinvasive function, and unmasks inflammatory and Wnt signaling as the most strongly regulated pathways. Histological findings in human brain metastases underline the significance of these results. In conclusion, microglia are critical for the successful colonization of the brain by epithelial cancer cells, suggesting inhibition of proinvasive microglia as a promising antimetastatic strategy. © 2010 Wiley‐Liss, Inc.
Factors influencing the retention of registered nurses in the Gauteng Province of South Africa.

BACKGROUND South Africa is a source country for many destination countries that recruit registered nurses who emigrate for personal and/or professional reasons. A large number of South African nurses belong to the baby boomer generation (born between 1943 and 1964) who will retire within the foreseeable future. Statistics from the South African Nursing Council show a decline of 42.0% in the number of nurses who completed their training in South Africa from 1996 to 2005. These aspects combine to predict a potential dire shortage of nurses in South Africa within the foreseeable future. OBJECTIVES Retention of registered nurses should be the focus of health-care planners to avoid crises in South Africa's health-care services. This study attempted to identify factors that would influence registered nurses' decisions to stay with their current employers in the Gauteng Province of South Africa. METHODS An exploratory descriptive quantitative design was adopted and questionnaires were sent to a sample of nurses, registered with the South African Nursing Council (SANC), with addresses in the Gauteng Province. A total of 108 nurses completed and returned questionnaires, of whom 77 (73.1%) had considered leaving their current employers. RESULTS The most important factors that would influence more than 90.0% of these nurses' decisions to stay with their current employers related to finances, safety and security, equipment and/or supplies, management, staff and patients. CONCLUSIONS In terms of Maslow's Hierarchy of Needs Theory, deficiency needs (physiological, safety and social needs) should be met by improved salaries revised on an annual basis, paying long-service and outstanding-service bonuses, and improving the safety and security, as well the available equipment and supplies, at institutions. Sufficient numbers of nurses should be employed and vacancies should be filled rapidly. However, not all changes required to enhance nurses' retention rates involve increased costs. Managers should lead by example and respect nurses, and encourage doctors as well as patients to do so, to meet nurses' self-esteem needs. Recognising and rewarding outstanding service would meet nurses' self-actualisation needs, as well as opportunities to further their education.
How voluntary exercise behavior runs in families: Twin studies and beyond

The aim of this study was to investigate the relative influence of genetic and environmental factors on children’s leisure time exercise behavior through the classic twin design. Data were taken from the Netherlands Twin Register. The twins were 7(N= 3,966 subjects), 10(N= 3,562) and 12-year-olds (N= 8,687), with longitudinal data for 27% of the sample. Parents were asked to indicate the children’s regular participation in leisure time exercise activities, including frequency and duration. Resemblance between monozygotic and dizygotic twins for weekly MET hours spent on exercise activities was analyzed as a function of their genetic relatedness. Average weekly MET hours increased with age for both boys (age 7 years: 14.0, SD= 11.8; age 10 years: 22.6, SD= 18.7; age 12 years: 28.4, SD= 24.9) and girls (age 7 years: 9.7, SD= 9.5; age 10 years: 15.3, SD= 15.1; age 12 years: 19.3, SD= 19.8). Around 13% of boys and girls across all age groups did not participate in any regular leisure time exercise activities. Tracking of exercise behavior from age 7 to 12 years was modest (0.168<r<0.534). For boys, genetic effects accounted for 24% (confidence interval: 18%-30%) of the variance at age 7 years, 66% (53%-81%) at age 10 years and 38% (32%-46%) at age 12 years. For girls, these were 22% (15%-30%), 16% (9%-24%) and 36% (30%-43%), respectively. Environmental influences shared by children from the same family explained 71%, 25% and 50% of the variance in boys (aged 7, 10 and 12 years) and 67%, 72% and 53% in girls. The shared environment influencing exercise behavior was partially different between boys and girls. Our results stress the important role of the shared environment for exercise behavior in young children.
Reliable estimation of biochemical parameters from C₃ leaf photosynthesis-intercellular carbon dioxide response curves.

The Farquhar-von Caemmerer-Berry (FvCB) model of photosynthesis is a change-point model and structurally overparameterized for interpreting the response of leaf net assimilation (A) to intercellular CO₂ concentration (Ci). The use of conventional fitting methods may lead not only to incorrect parameters but also several previously unrecognized consequences. For example, the relationships between key parameters may be fixed computationally and certain fits may be produced in which the estimated parameters result in contradictory identification of the limitation states of the data. Here we describe a new approach that is better suited to the FvCB model characteristics. It consists of four main steps: (1) enumeration of all possible distributions of limitation states; (2) fitting the FvCB model to each limitation state distribution by minimizing a distribution-wise cost function that has desirable properties for parameter estimation; (3) identification and correction of inadmissible fits; and (4) selection of the best fit from all possible limitation state distributions. The new approach implemented theoretical parameter resolvability with numerical procedures that maximally use the information content of the data. It was tested with model simulations, sampled A/Ci curves, and chlorophyll fluorescence measurements of different tree species. The new approach is accessible through the automated website leafweb.ornl. gov.