Miracle-dz/UniFAR-FTUs huggingface dataset:
A framework for prescription in exercise-oncology research†

The field of exercise‐oncology has increased dramatically over the past two decades, with close to 100 published studies investigating the efficacy of structured exercise training interventions in patients with cancer. Of interest, despite considerable differences in study population and primary study end point, the vast majority of studies have tested the efficacy of an exercise prescription that adhered to traditional guidelines consisting of either supervised or home‐based endurance (aerobic) training or endurance training combined with resistance training, prescribed at a moderate intensity (50–75% of a predetermined physiological parameter, typically age‐predicted heart rate maximum or reserve), for two to three sessions per week, for 10 to 60 min per exercise session, for 12 to 15 weeks. The use of generic exercise prescriptions may, however, be masking the full therapeutic potential of exercise treatment in the oncology setting. Against this background, this opinion paper provides an overview of the fundamental tenets of human exercise physiology known as the principles of training, with specific application of these principles in the design and conduct of clinical trials in exercise‐oncology research. We contend that the application of these guidelines will ensure continued progress in the field while optimizing the safety and efficacy of exercise treatment following a cancer diagnosis.
Enforcing RPKI-based routing policy on the data plane at an internet exchange

Over a decade of work has gone into securing the BGP routing control plane. Through all this, there has been an oft repeated refrain, "It is acknowledged that rigorous control plane verification does not in any way guarantee that packets follow the control plane. " We describe what may be the first deployment of data plane enforcement of RPKI-based control plane validation. OpenFlow switches providing an exchange fabric and controlled by a Quagga BGP route server drop traffic for prefixes which have invalid origins without requiring any RPKI support by connected BGP peers.
Negotiating Transcription as a Relative Insider: Implications for Rigor

Despite the prevalence of the transcription of language data in qualitative research, few published studies provide insight into how the transcription process is negotiated. The purpose of this article is to describe unique challenges to quality transcription faced by a “relative insider” by reflexively exploring the research process (in particular the researcher's position) and to explicate the implications for transcription quality and research rigor/trustworthiness. Inaccuracies within transcripts created by discrepancies between participants' intended meaning and the researcher's/transcriptionist's interpretation can compromise the rigor of one's findings. Therefore, when conducting research among speakers of regional dialects, researchers/transcriptionists should plan how issues related to interviewing and particularly to transcription will be negotiated.
Forma Analysis and new Heuristic Ideas for the Number Partitioning Problem

The Min Number Partitioning problem has been a hard challenge for metaheuristics for at least a decade. It was originally the paper by Johnson et al.[4] that first identified the problem that a metaheuristic of prestige among physicists, Simulated Annealing (SA), was having to address this problem [15]. The problem is an open challenge for other metaheuristics like Genetic Algorithms (GAs) [7] [13], SA [4] [15] [14], problem space local search [16], GRASP [1], and Tabu Search [6]. The decision version is widely cited as being a conspicuous member of the NP-complete class, one of the “six-essential” NP-complete problems. Moreover, the problem has another source of interest if we also have in mind that is essentially equivalent to find the ground-state of an infinite range Ising spin-glass system with antiferromagnetic couplings. As a consequence, we can think of this problem as being a worst-case scenario [12] among the tasks of finding the ground-state of a disordered system [10, 5, 11]. We can define the problem as:
Detecting Incompleteness, Conflicting and Unreachability XACML Policies using Answer Set Programming

Recently, XACML is a popular access control policy language that is used widely in many applications. Policies in XACML are built based on many components over distributed resources. Due to the expressiveness of XACML, it is not trivial for policy administrators to understand the overall effect and consequences of XACML policies they have written. In this paper we show a mechanism and a tool how to analyses big access control policies sets such as (i) incompleteness policies, (ii) conflicting policies, and (iii) unreachable policies. To detect these problems we present a method using Answer Set Programming (ASP) in the context of XACML 3.0.
Segmentation and Normalisation in Grapheme Codebooks

The grapheme codebook is a high-performing technique for offline writer identification. This paper considers whether the de facto standards for initial grapheme extraction are optimal for both modern and historical datasets. We examine the construction and representation of the graphemes that comprise the codebook, testing three segmentation methods and two grapheme size normalisation methods on two datasets: a 93-writer IAM dataset, and a 43-writer medieval English dataset. The standard minima-split segmentation is compared to a complementary segmentation method that preserves ligature shapes, as well as the union of both these methods. Classification performance for each method is compared on a range of codebook sizes. We demonstrate that grapheme aspect-ratio is not always a writer-specific feature, and that preserving the character body shape in segmentation is more informative than preserving cursive text ligatures.
An alternative to synchronous tree substitution grammars*

Abstract Synchronous tree substitution grammars (stsg) are a (formal) tree transformation model that is used in the area of syntax-based machine translation. A competitor that is at least as expressive as stsg is proposed and compared to stsg. The competitor is the extended multi bottom-up tree transducer (mbot), which is the bottom-up analogue with the additional feature that states have non-unary ranks. Unweighted mbot have already been investigated with respect to their basic properties, but the particular properties of the constructions that are required in the machine translation task are largely unknown. stsg and mbot are compared with respect to binarization, regular restriction, and application. Particular attention is paid to the complexity of the constructions.
Angioplasty and stenting for patients with symptomatic intracranial atherosclerosis: study protocol of a randomised controlled trial

Introduction Whether adding percutaneous transluminal angioplasty and stenting (PTAS) to background medical treatment is effective for decreasing the incidence of stroke or death in patients with symptomatic intracranial atherosclerosis (ICAS) is still controversial. We perform a randomised controlled trial to examine the effectiveness and safety of an improved PTAS procedure for patients with ICAS. Methods and analysis A randomised controlled trial will be conducted in three hospitals in China. Eligible patients with ICAS will be randomly assigned to receive medication treatment (MT) plus PTAS or MT alone. The MT will be initiated immediately after randomisation, while the PTAS will be performed when patients report relief of alarm symptoms defined as sudden weakness or numbness. All patients will be followed up at 30 days, 3 and 12 months after randomisation. The primary end point will be the incidence of stroke or death at 30 days after randomisation. Secondary outcomes will be the incidence of ischaemic stroke in the territory of stenosis arteries, the incidence of in-stent restenosis, the Chinese version of the modiﬁed Rankin Scale and the Chinese version of the Stroke-Specific Quality of Life (CSQoL). Ethics and dissemination The study protocol is approved by institutional review boards in participating hospitals (reference number FZ20160003, 180PLA20160101 and 476PLA2016007). The results of this study will be disseminated to patients, physicians and policymakers through publication in a peer-reviewed journal or presentations in conferences. It is anticipated that the results of this study will improve the quality of the current PTAS procedure and guide clinical decision-making for patients with ICAS. Trial registration number NCT02689037
Edinburgh Research Explorer Detection of immunoglobulin (Ig) A antibodies against porcine epidemic diarrhea virus (PEDV) in fecal and serum samples

Many assays for detection of antibodies against porcine epidemic diarrhea virus (PEDV) are based on detection of neutralizing antibodies or immunoglobulin (Ig) G in serum samples. However, due to the particular features of the mucosal immune system, presence of serum antibodies against enteric pathogens, such as PEDV, not always correlates with protection. In contrast, anti-PEDV IgA antibodies correlate with protection against subsequent challenges. An indirect PEDV IgA ELISA was previously developed to monitor IgA levels in colostrum and milk samples. In the present paper we describe an adaptation of the protocol for detection of IgA antibodies in serum and fecal samples. The adapted protocol will aid in future assessment of protective levels of humoral response against PEDV infection by measuring IgA levels in serum and fecal samples. Fecal samples are non-invasive and easy to collect at any time by animal caretakers and therefore offering advantages over the serum sample collection procedure.
RATES AND THE CONDUCT OF MONETARY POLICY

The paper describes actual Federal Reserve interest-rate targeting procedures and addresses a number of issues in light of these stylized facts. It reviews the connection between rate smoothing and price level trend-stationarity. It critiques interest-rate targeting as inflation tax smoothing. It argues that stabilization policy implemented by interest-rate targeting may inadvertently induce martingale-like behavior in nominal rates and inflation. The paper explains why central bankers prefere continuity of the short rate and indirect rate targeting. Lastly, it surveys empirical evidence of the Fed’s influence over short-term interest rates. (JEL: 311)
Fruit defect detection from color images using ACM and MFCM algorithms

Segmentation of an image into its components plays an important role in most of the image processing applications. In this article an important application of image processing in determination of fruit quality is studied, and an automatic algorithm is proposed in order to determine fruits skin color defects. Removing of image background and extraction of fruit shape, exactly, at presence of shadow and complex background is considered as an important preprocessing stage. In proposed algorithm at first, background in image is omitted by using active counter model (ACM) algorithm. Finally, the image is segmented using modified FCM (MFCM) algorithm. Experimental results on fruit color images show that proposed algorithm increases accuracy and speed of fruit skin defect detection, considerably.
Information Integration: The MOMIS Project Demonstration

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Rank Subspace Learning for Compact Hash Codes

The era of Big Data has spawned unprecedented interests in developing hashing algorithms for efficient storage and fast nearest neighbor search. Most existing work learn hash functions that are numeric quantizations of feature values in projected feature space. In this work, we propose a novel hash learning framework that encodes feature's rank orders instead of numeric values in a number of optimal low-dimensional ranking subspaces. We formulate the ranking subspace learning problem as the optimization of a piece-wise linear convex-concave function and present two versions of our algorithm: one with independent optimization of each hash bit and the other exploiting a sequential learning framework. Our work is a generalization of the Winner-Take-All (WTA) hash family and naturally enjoys all the numeric stability benefits of rank correlation measures while being optimized to achieve high precision at very short code length. We compare with several state-of-the-art hashing algorithms in both supervised and unsupervised domain, showing superior performance in a number of data sets.
Phase Predistortion of a Class-D Outphasing RF Amplifier in 90 nm CMOS

This brief presents a behavioral model structure and a model-based phase-only predistortion method that are suitable for outphasing RF amplifiers. The predistortion method is based on a model of the amplifier with a constant gain factor and phase rotation for each outphasing signal, and a predistorter with phase rotation only. The method has been used for enhanced data rates for GSM evolution (EDGE) and wideband code-division multiple-access (WCDMA) signals applied to a Class-D outphasing RF amplifier with an on-chip transformer used for power combining in 90-nm CMOS. The measured peak power at 2 GHz was +10.3 dBm with a drain efficiency and power-added efficiency of 39% and 33%, respectively. For an EDGE 8 phase-shift-keying (8-PSK) signal with a phase error of 3° between the two input outphasing signals, the measured power at 400 kHz offset was -65.9 dB with predistortion, compared with -53.5 dB without predistortion. For a WCDMA signal with the same phase error between the input signals, the measured adjacent channel leakage ratio at 5-MHz offset was -50.2 dBc with predistortion, compared with -38.0 dBc without predistortion.
University of Pennsylvania Working Papers in Linguistics the Short-a System of New York City English: an Update the Short-a System of New York City English: an Update the Short-a System of New York City English: an Update

This paper reports on the current status of the short-a system in New York City English (NYCE), traditionally characterized as a phonemic split conditioned by the following phonological environment and a complex set of additional constraints (Labov 2007, Labov, Ash, and Boberg 2006). We provide apparent-time evidence from twelve white native New Yorkers of three age groups that the complex short-a split is changing over time, such that the system is losing its complex conditioning among our young white speakers. These results raise questions concerning the continuing characterization of NYCE short-a as phonemic. Additionally, we demonstrate that young native New Yorkers of ethnic minority backgrounds (Chinese, Puerto Rican, and African American) who speak English natively do not produce the traditional NYCE split, but instead produce a nasal tensing system (Labov 2007). In addition to providing current results suggesting change in white NYCE, this study contributes to the growing literature in sociolinguistics regarding ethnic minority speakers and their production of regional dialect features.
Abnormal events detection based on spatio-temporal co-occurences

We explore a location based approach for behavior modeling and abnormality detection. In contrast to the conventional object based approach where an object may first be tagged, identified, classified, and tracked, we proceed directly with event characterization and behavior modeling at the pixel(s) level based on motion labels obtained from background subtraction. Since events are temporally and spatially dependent, this calls for techniques that account for statistics of spatiotemporal events. Based on motion labels, we learn co-occurrence statistics for normal events across space-time. For one (or many) key pixel(s), we estimate a co-occurrence matrix that accounts for any two active labels which co-occur simultaneously within the same spatiotemporal volume. This co-occurrence matrix is then used as a potential function in a Markov random field (MRF) model to describe the probability of observations within the same spatiotemporal volume. The MRF distribution implicitly accounts for speed, direction, as well as the average size of the objects passing in front of each key pixel. Furthermore, when the spatiotemporal volume is large enough, the co-occurrence distribution contains the average normal path followed by moving objects. The learned normal co-occurrence distribution can be used for abnormal detection. Our method has been tested on various outdoor videos representing various challenges.
ALKBH4 Depletion in Mice Leads to Spermatogenic Defects

ALKBH4, an AlkB homologue in the 2-oxoglutarate and Fe2+ dependent hydroxylase family, has previously been shown to regulate the level of monomethylated lysine-84 in actin and thereby indirectly influences the ability of non-muscular myosin II to bind actin filaments. ALKBH4 modulates fundamental processes including cytokinesis and cell motility, and its depletion is lethal during early preimplantation embryo stage. The aim of this study was to investigate the effect of ALKBH4 deficiency in a physiological context, using inducible Alkbh4 knockout mice. Here, we report that ALKBH4 is essential for the development of spermatocytes during the prophase of meiosis, and that ALKBH4 depletion leads to insufficient establishment of the synaptonemal complex. We also show that ALKBH4 is localized in nucleolar structures of Sertoli cells, spermatogonia and primary spermatocytes.
A cost-model-based online method for distributed caching

Presents a method for distributed caching to exploit the aggregate memory of networks of workstations in data-intensive applications. In contrast to prior work, the approach is based on a detailed cost model as the basis for optimizing the placement of variable-size data objects in a distributed, possibly heterogeneous two-level storage hierarchy. To address the online problem with a priori unknown and evolving workload parameters, the method employs dynamic load tracking procedures and an approximative, low-overhead version of the cost model for continuous reoptimization steps that are embedded in the decisions of the underlying local cache managers. The method is able to automatically find a good tradeoff between an "egoistic" and an "altruistic" behavior of the network nodes, and proves its practical viability in a detailed simulation study under a variety of workload and system configurations.
Characterization of repeatability of XY-Theta platform held by robotic manipulator arms using a camera

This paper presents a XY-Theta micrometric platform, which is extremely compact and offers a wide 300 × 300 mm workspace. This platform is held by a serial kinematic chain of four revolute joints, constituting a redundant robot. Each point of the horizontal platform can be positioned under a vertical axis in a two-step approach: in a coarse positioning mode, the four axes are controlled to position and orientate the object with a position error less than 7 µm; in a fine mode, two axes are mechanically blocked while two others are controlled to reduce the final position error below 2 µm. The choice of the blocked and moving axes depends on the lever arm length and the mechanism is designed to optimize the link lengths to reduce the final position error. The aim of the paper is to characterize the platform repeatability performances. An estimation of the repeatability is performed with a camera. These results are then compared to previous results based on the stationary cube method. The two measurements methods lead to similar results with a repeatability close to 2 µm showing a significant improvement of the performances.
Displacement MIMO Kalman equalizer for CDMA downlink in fast fading channels

In this paper, a streamlined MIMO Kalman equalizer architecture is proposed to extract the commonality in the data path by jointly considering the displacement structure of the transition matrix and the block-Toeplitz structure of the channel matrix. Finally, an iterative conjugate-gradient based algorithm is proposed to avoid the inverse of the Hermitian symmetric innovation correlation matrix in Kalman gain processor. The proposed architecture not only reduces the numerical complexity to O(F log F) per chip, but also facilitates the parallel and pipelined VLSI implementation in real-time processing
Three Models of Acculturation: Applications for Developing a Church Planting Strategy among Diaspora Populations

Cross-cultural church planters often work with individuals from several cultures or with immigrants from one specific culture. These church planters can develop a more effective church planting strategy by understanding three models of acculturation, the process of how individuals respond and change when coming into contact with a new culture. The melting-pot one dimensional model describes how immigrants acculturate as time progresses, from one generation to another. The two dimensional acculturation strategies model describes what can be expected to happen to members of a diaspora population due to their views of both their host and home cultures. The social identity model of acculturation predicts immigrants’ desire to be member of a group based on what group membership contributes to their identity. All three models can be used to help choose an appropriate church planting strategy according to the context.
MORPHEUS: Heterogeneous Reconfigurable Computing

Reconfigurable architectures and NoC (network-on-chip) communication systems have introduced new research directions for technology and flexibility issues, which have been largely investigated in the last decades. Exploiting the flexibility of reconfigurable architectures, the run-time adap-tivity through run-time reconfiguration, opens a new area of research by considering dynamic reconfiguration. Since software parts of an embedded system can also be included into reconfigurable hardware by integration of an IP-based microcontroller, the reconfigurable architecture provides a flexible, multi-adaptive heterogeneous platform forHW/SW co-design. In this paper, we present the European integrated project MORPHEUS (1ST 027342). Its goal is to develop new heterogeneous reconfigurable SoCs with various sizes of reconfiguration granularity and to provide an integrated toolset of spatial and sequential design that can be used for mapping and execution of the target applications. Additionally a NoC approach is included in order to demonstrate the mentioned benefits and scalability for actual and future SoC design. The power of this approach will be demonstrated with four applications from the industrial environment.