Miracle-dz/UniFAR-FTUs huggingface dataset:
Visual metaphors of living with brain injury: exploring and communicating lived experience with an invisible injury

Brain injury can affect cognitive, emotional and physical functioning – consequences that pose challenges to understanding survivors' perspectives on their lives. Furthermore, the injury may be invisible, even clinically, causing additional confusion for affected individuals, family members, co-workers and clinicians. The present study used photovoice with adult brain injury survivors so they could communicate their lived experience. Participants took photographs, discussed them, and selected some for captions. Half of their selected images are visual metaphors that foster a multifaceted view of brain injury with room for negative as well as positive aspects of their experience. Photovoice provided opportunities to communicate a personal voice during group discussions and in study binders, and a group voice in outreach products. Visual metaphors became vehicles for voice as participants used photovoice to make visible their brain injuries and their efforts to wrestle with the impacts and discover new purpose and meaning in life.
Guided image filtering using signal subspace projection

There are various image filtering approaches in computer vision and image processing that are effective for some types of noise, but they invariably make certain assumptions about the properties of the signal and/or noise which lack the generality for diverse image noise reduction. This study describes a novel generalised guided image filtering method with the reference image generated by signal subspace projection (SSP) technique. It adopts refined parallel analysis with Monte Carlo simulations to select the dimensionality of signal subspace in the patch-based noisy images. The noiseless image is reconstructed from the noisy image projected onto the significant eigenimages by component analysis. Training/test image are utilised to determine the relationship between the optimal parameter value and noise deviation that maximises the output peak signal-to-noise ratio (PSNR). The optimal parameters of the proposed algorithm can be automatically selected using noise deviation estimation based on the smallest singular value of the patch-based image by singular value decomposition (SVD). Finally, we present a quantitative and qualitative comparison of the proposed algorithm with the traditional guided filter and other state-of-the-art methods with respect to the choice of the image patch and neighbourhood window sizes.
RELIGIOUS FREEDOM AND INTERRELIGIOUS RELATIONS IN ISLAM: REFLECTIONS ON DA’WAH AND QUR’ANIC ETHICS

Evangelization, known as da'wah, is an essential principle in Islam. The Qur'an, properly interpreted, rejects coercive “proselytization” and considers faith to be a matter of personal conviction. Da'wah should never be used to pressure non-Muslims to convert but should be undertaken as a friendly outreach to bring understanding and goodwill. Four principles define the relationship between Muslims and non-Muslims. In today's pluralistic societies, Muslims should seek common ground with people of other faiths. Free religious exchange must acknowledge the freedom of all individuals to change their religious affiliations.
Evaluating the Addition of Non-Transactional Loads to HTM

A non transactional load (NTL), is a load instruction, which is invisible to the transactional system, even if done within a transaction. It ignores and suppose to be ignored by the other concurrent transactions, thus NTL does not introduce any conflicts. An analysis of the potential benefits of NTL and the issues in introducing it are discussed. The two unique characteristics of NTL are: (a) if called inside an HTM transaction, an NTL will not be added to the transaction read-set, and (b) if called inside or outside of a transaction, will not cause the abort of another concurrent transactions. Implementing (a) seems to be easy, but (b) is more difficult. If a load accesses a cache line that has been modified in a concurrent transaction T, than according to the requester wins policy [1] of the HTM, T is aborted. We suggest a potential solution to (b) and analyze it, and discuss the added value the NTL may have, e.g., in COP operations [2].
The Aberdeen University Ontology Reuse Stack

This paper describes a set of tools which allow the large number of ontologies available on the Semantic Web to be discovered and reused for other applications (both in the Semantic Web and by the larger knowledge engineering community). Firstly, these tools address the problem of finding an existing ontology, with given characteristics. Secondly, we discuss tools which allow the knowledge engineer to detect and repair errors which occur in the ontology’s vocabulary (CleOn) or are related to logical coherency/inconsistency (RepairTab). Once a knowledge engineer is satisfied that the ontology is lexically and semantically consistent, then he/she can extend the ontology if the application requires that. Once the extension has been done, it again would be prudent to use those same tools to check that the resulting ontology is consistent.
Theory and Performance of Narrow Correlator Spacing in a GPS Receiver

Historically, conventional GPS receivers have used 1.0 chip early-late correlator spacing in the implementation of delay lock loops (DLLs), However, there are distinct advantages to narrowing this spacing, especially in C/A-code tracking applications. These advantages are the reduction of tracking errors in the presence of both noise and multipath. The primary disadvantage is that a wider precorrelation bandwidth is required, coupled with higher sample rates and higher digital signal processing rates. However, with current CMOS technology, this is easily achievable and well worth the price. Noise reduction is achieved with narrower spacing because the noise components of the early and late signals are correlated and tend to cancel, provided that early and late processing are simultaneous (not dithered). Multipath effects are reduced because the DLL discriminator is less distorted by the delayed multipath signal. This paper presents the derivation of these narrow correlator spacing improvements, verified by simulated and tested performance. INTRODUCTION AND BACKGROUND The use of 1.0 (or even 2.01 chip correlator spacing in delay lock loops (DLLs) dates back to the early GPS receivers, starting with the Phase I GPS X-Set, Y-Set, Z-Set, and Manpack. In early theoretical papers, 1.0 chip spacing was implied (1,2]. Narrower spacing was mentioned in the classic multipath effects report [2], but not in a complimentary way. However, this dishonorable mention was with respect to coherent DLLs in the presence of strong multipath. For multipath signals of more reasonable levels, these adverse effects are not true, nor are they true for noncoherent DLLs. This has been verified [3], and is explained herein. The 1.0 chip spacing concept carried over to the GPS Phase II and Phase III equipment, and more recently to modern digital GPS receivers [4,5]. Although these cited receivers are of the P-code variety, this 1.0 chip spacing concept has also been used in most commercial C/A-code receivers. In fact, it has been such a standard approach that authors of papers describing their designs do not even mention the spacing, except that it is implied by their performance equations and test results.
Predicting highly-connected hubs in protein interaction networks by QSAR and biological data descriptors

Hub proteins (those engaged in most physical interactions in a protein interaction network (PIN) have recently gained much research interest due to their essential role in mediating cellular processes and their potential therapeutic value. It is straightforward to identify hubs if the underlying PIN is experimentally determined; however, theoretical hub prediction remains a very challenging task, as physicochemical properties that differentiate hubs from less connected proteins remain mostly uncharacterized. To adequately distinguish hubs from non-hub proteins we have utilized over 1300 protein descriptors, some of which represent QSAR (quantitative structure-activity relationship) parameters, and some reflect sequence-derived characteristics of proteins including domain composition and functional annotations. Those protein descriptors, together with available protein interaction data have been processed by a machine learning method (boosting trees) and resulted in the development of hub classifiers that are capable of predicting highly interacting proteins for four model organisms: Escherichia coli, Saccharomyces cerevisiae, Drosophila melanogaster and Homo sapiens. More importantly, through the analyses of the most relevant protein descriptors, we are able to demonstrate that hub proteins not only share certain common physicochemical and structural characteristics that make them different from non-hub counterparts, but they also exhibit species-specific characteristics that should be taken into account when analyzing different PINs. The developed prediction models can be used for determining highly interacting proteins in the four studied species to assist future proteomics experiments and PIN analyses. Availability The source code and executable program of the hub classifier are available for download at: http://www.cnbi2. ca/hub-analysis/
A Bayesian approach to the g-formula

Epidemiologists often wish to estimate quantities that are easy to communicate and correspond to the results of realistic public health interventions. Methods from causal inference can answer these questions. We adopt the language of potential outcomes under Rubin’s original Bayesian framework and show that the parametric g-formula is easily amenable to a Bayesian approach. We show that the frequentist properties of the Bayesian g-formula suggest it improves the accuracy of estimates of causal effects in small samples or when data are sparse. We demonstrate an approach to estimate the effect of environmental tobacco smoke on body mass index among children aged 4–9 years who were enrolled in a longitudinal birth cohort in New York, USA. We provide an algorithm and supply SAS and Stan code that can be adopted to implement this computational approach more generally.
Mining Industrial Engineered Data of Apparel Industry: A Proposed Methodology

Data mining and knowledge discovery play a significant role in the field of industrial engineering as the vast amount of generated data help to reveal previously unknown interesting patterns and knowledge. Many industries have already adopted data mining techniques for better productivity by following clear and concise methodologies. But apparel industries are yet waiting to adopt data mining techniques due to the absence of a data mining methodology which meets the particular requirements and business objectives. The objective of this research is to develop such a mining methodology that will be able to fulfill the requirements of apparel industries. This research paper has proposed a methodology for mining industrial engineered manufacturing data of apparel industries. This methodology covers from analysis of apparel industrys manufacturing unit to implement and evaluate mining model. It also includes the analysis of different departments in manufacturing to identify correlation and dependencies among the departments which is absent in the existing methodologies. Furthermore, the proposed methodology provides a clear and unambiguous transitions among different steps to perform data mining.
Concept Mapping the Client's Perspective on Counseling Alliance Formation.

The purpose of the present study was to identify, categorize, and model clients' understanding of early counseling alliance formation factors. Forty participants who had received counseling services were interviewed and asked about what observable behaviors and verbalizations they thought had helped establish the alliance with their counselor. Alliance formation factors were recorded on index cards, and 31 participants returned and sorted these statements into self-defined, conceptually homogeneous categories. Multivariate concept-mapping statistical techniques were used to compute the "average" sort across the participants. Seventy-four client-identified common factors were elicited and reliably organized into 11 categories: setting, presentation & body language, nonverbal gestures, emotional support & care, honesty, validation, guidance & challenging, education, referrals & recommended materials, client's personal responsibility, and session administration.
Software Requirements: A new Domain for Semantic Parsers

Software requirements are commonly written in natural language, making them prone to ambiguity, incompleteness and inconsistency. By converting requirements to formal semantic representations, emerging problems can be detected at an early stage of the development process, thus reducing the number of ensuing errors and the development costs. In this paper, we treat the mapping from requirements to formal representations as a semantic parsing task. We describe a novel data set for this task that involves two contributions: first, we establish an ontology for formally representing requirements; and second, we introduce an iterative annotation scheme, in which formal representations are derived through step-wise refinements.
Modulation scaling for energy aware communication systems

In systems that require low energy consumption, voltage scaling is an invaluable circuit technique. It also offers energy awareness, trading off energy and performance. In wireless handheld devices, the communication portion of the system is a major power hog. We introduce a new technique, called modulation scaling, which exhibits benefits similar to those of voltage scaling. It allows us to trade off energy against transmission delay and as such introduces the notion of energy awareness in communications. Throughout our discussion, we emphasize the analogy with voltage scaling. As an example application, we present an energy aware wireless packet scheduling system.
The Euler-Poincare theory of Metamorphosis

In the pattern matching approach to imaging science, the process of ``metamorphosis'' is template matching with dynamical templates. Here, we recast the metamorphosis equations of into the Euler-Poincare variational framework of and show that the metamorphosis equations contain the equations for a perfect complex fluid \cite{Ho2002}. This result connects the ideas underlying the process of metamorphosis in image matching to the physical concept of order parameter in the theory of complex fluids. After developing the general theory, we reinterpret various examples, including point set, image and density metamorphosis. We finally discuss the issue of matching measures with metamorphosis, for which we provide existence theorems for the initial and boundary value problems.
Using NAPP Census Data to Construct the Historical Population Register for Norway

Abstract A Historical Population Register (HPR) for Norway for the period 1735–1964 will connect with the national Central Population Register for the period 1964–present. Constructed using a core of North Atlantic Population Project census data, the HPR will be supplemented with other local sources. It will include 9.7 million people, linking them to 37.5 million entries from censuses, church records, and other sources. After briefly recounting the history of population registers in Norway, the author describes the database and how it is being assembled and gives examples and suggestions about what can be done with it.
Tetrahedral mesh compression with the cut-border machine

In recent years, substantial progress has been achieved in the area of volume visualization on irregular grids, which is mainly based on tetrahedral meshes. Even moderately fine tetrahedral meshes consume several mega-bytes of storage. For archivation and transmission compression algorithms are essential. In scientific applications lossless compression schemes are of primary interest. This paper introduces a new lossless compression scheme for the connectivity of tetrahedral meshes. Our technique can handle all tetrahedral meshes in three dimensional euclidean space even with non manifold border. We present compression and decompression algorithms which consume for reasonable meshes linear time in the number of tetrahedra. The connectivity is compressed to less than 2.4 bits per tetrahedron for all measured meshes. Thus a tetrahedral mesh can almost be reduced to the vertex coordinates, which consume in a common representation about one quarter of the total storage space. We complete our work with solutions for the compression of vertex coordinates and additional attributes, which might be attached to the mesh.
Performance Analysis on the Assessment of Fingerprint Image Based on Blur Measurement

Processing the fingerprint image captured from the mobile phone camera is problematic. The addressed problem is such as degree of freedom, blurry, noisy and weak ridges-valleys images. In this paper, problem of blur assessment on fingerprint image is the main consent. In this regards, dataset of fingerprint image is collected from several subjects and different environment to obtain a clear and blur fingerprint image. The ground truth for this dataset is assigned by human vision. According to literature, the suitable blur evaluation is based on no-reference strategy. Hence, this paper modified existing no-reference blur assessment so it is suitable for fingerprint image. The proposed method achieved promising result and able to detect blur and clear fingerprint image.
Working memory and reasoning: An individual differences perspective

This article reports three experiments that investigated the relationship between working memory capacity and syllogistic and five-term series spatial inference. A series of complex and simple verbal and spatial working memory measures were employed. Correlational analyses showed that verbal and spatial working memory span tasks consistently predicted syllogistic and spatial reasoning performance. A confirmatory factor analysis showed that three factors best accounted for the data—a verbal, a spatial, and a general factor. Syllogistic reasoning performance loaded all three factors, whilst spatial reasoning loaded only the general factor. The implications of these findings are discussed in the context of reasoning theories and contemporary accounts of the structure of working memory.
catena-Poly[[(1,10-phenanthroline)zinc]-μ-3-[3-(carboxylatomethoxy)phenyl]acrylato]

The asymmetric unit of the title compound, [Zn(C11H8O5)(C12H8N2)]n, is composed of a ZnII ion and 3-[3-(carboxylatomethoxy)phenyl]acrylate and 1,10-phenanthroline ligands. The ZnII ion adopts a distorted square-pyramidal ZnN2O3 coordination. The bridging mode of the dianion leads to the formation of zigzag chains parallel to [010]. Intermolecular π–π stacking interactions [centroid–centroid distance of 3.5716 (12) Å] lead to the formation of a two-dimensional network parallel to (001).
The Role of Physical Counselling in Patients with Type 2 Diabetes Mellitus: A Systematic Review

Context: Physical exercise is a key component of treatment and management of people with Type 2 Diabetes, but the role of strategies and interventions to increase and promote physical activity is unclear. Objective: To conduct a systematic review of intervention studies assessing the effects of physical activity counselling on health outcomes in subjects with type 2 diabetes mellitus. Data sources: The Cochrane Library, MEDLINE, EMBASE, CINAHL, LILACS, ClinicalTrials.gov databases were used for the literature search. Data Selection: Studies that assessed the effects of interventions mainly based on physical activity counselling strategies, on physical activity level and glycosylated hemoglobin (HbA1c) were included in the review. Data Extraction: Two independent reviewers extracted the data. Data Synthesis: A total of 23 studies out of 1425 retrieved from databases search, were included in the review. The global number of subjects included in the selected studies was 9913, and the mean age of participants was 58.8 (±8.2) years (min = 46.3; max = 73.6). The most part of the studies (19) reported values of physical activity level; 13 of them (68.4%) found a significant effect after the counselling intervention, while 6 (31.6%) did not found significant changes. Among the 17 studies reporting data on HbA1c 9 (52.9%) described a significant decrease in the counselling intervention group, while 7 (41.2%) did not find any statistically significant change and 1 (5.9%) reported a significant HbA1c reduction in the comparison group rather than the counselling group. Conclusions: The results presented in this systematic review seem to affirm the usefulness of physical counselling interventions on physical activity and HbA1c, however the lack of homogeneity in the intervention protocols and the contrasting results limit the comprehension of the usefulness of such an approach in patient with type 2 diabetes.
SPAD Image Sensor With Analog Counting Pixel for Time-Resolved Fluorescence Detection

This paper presents a 32 × 32 pixel image sensor for time-gated fluorescence lifetime detection based on single-photon avalanche diodes. The sensor, fabricated in a high-voltage 0.35- μm CMOS technology, uses an analog counting approach to minimize the area occupation of pixel electronics while maintaining a nanosecond timing resolution and shot-noise-limited operation. The all nMOS pixel is formed by 12 transistors and features 25- μm pitch and 20.8% fill factor. The chip includes a phase-locked loop circuit for gating window generation, working at a maximum repetition frequency of 40 MHz, while the sensor can be gated at frequency up to 80 MHz using an external delay generator. Optical characterization with a picosecond-pulsed laser showed a minimum gating window width of 1.1 ns. Example images acquired in both continuous and time-gated mode are presented, together with a lifetime image obtained with the sensor mounted on a fluorescence microscope.
MILLIMETER AND SUBMILLIMETER HIGH ANGULAR RESOLUTION INTERFEROMETRIC OBSERVATIONS: DUST IN THE HEART OF IRAS 18162−2048

The GGD27 complex includes the HH 80-81-80N system, which is one of the most powerful molecular outflows associated with a high-mass star-forming region observed to date. This outflow is powered by the star associated with the source IRAS 18162−2048. Here, we report on the detection of continuum emission at subarcsec/arcsec resolution with the Submillimeter Array (SMA) at 1.36 mm and 456 μm, respectively. We detected dust emission arising from two compact cores, MM1 and MM2, separated by about 7″ (∼12,000 AU in projected distance). MM1 spatially coincides with the powerful thermal radio continuum jet that powers the very extended molecular outflow, while MM2 is associated with the protostar that drives the compact molecular outflow recently found in this region. High angular resolution observations at 1.36 mm show that MM1 is unresolved and that MM2 splits into two subcomponents separated by ∼1″. The mass of MM1 is about 4 M☉ and it has a size of ≲300 AU. This is consistent with MM1 being associated with a massive and dense (n(H2) ≳ 109 cm−3) circumstellar dusty disk surrounding a high-mass protostar, which has not yet developed a compact H ii region. On the other hand, the masses of the two separate components of MM2 are about 2 M☉ each. One of these components is a compact core with an intermediate-mass young protostar inside and the other component is probably a prestellar core. MM1 is the brightest source at 1.36 mm, while MM2 dominates the emission at 456 μm. These are the only (sub)millimeter sources detected in the SMA observations. Hence, it seems that both sources may contribute significantly to the bolometric luminosity of the region. Finally, we argue that the characteristics of these two sources indicate that MM2 is probably in an earlier evolutionary stage than MM1.