Miracle-dz/UniFAR-FTUs huggingface dataset:
Community integration outcomes after traumatic brain injury due to physical assault

Background. Community integration is considered an ultimate goal for rehabilitation after traumatic brain injury (TBI). Purpose. To determine (a) whether differences exist in rehabilitation outcomes between intentional and unintentional TBI populations and (b) whether TBI from assault is a predictor of community integration following inpatient rehabilitation. Method. Retrospective cohort study using population-based data from Canadian hospital administration records, 2001 to 2006. Outcome measure was the Reintegration to Normal Living Index (RNLI). Findings. From a sample of 243 persons, 24 (9.9%) had sustained TBI from physical assault. Persons with TBI from physical assault reported significantly lower scores on two items on the RNLI’s Daily Functioning subscale: “recreation” and “family role. ” Implications. These findings suggest that targeted intervention in these specific areas could be beneficial, which are often primarily addressed by occupational therapists in both inpatient rehabilitation and community settings.
A novel polymorphism in the oxytocin receptor encoding gene (OXTR) affects milk fatty acid composition in Italian Mediterranean river buffalo

The oxytocin receptor, also known as OXTR, is a protein which functions as receptor for the hormone and neurotransmitter oxytocin and the complex oxytocin–oxytocin receptor plays an important role in the uterus during calving. A characterisation of the river buffalo OXTR gene, amino acid sequences and phylogenetic analysis is presented. The DNA regions of the OXTR gene spanning exons 1, 2 and 3 of ten Mediterranean river buffalo DNA samples were analysed and 7 single nucleotide polymorphisms were found. We focused on the g.129C > T SNP detected in exon 3 and responsible for the amino acid replacement CGCArg > TGCCys in position 353. The relative frequency of T allele was of 0·257. An association study between this detected polymorphism and milk fatty acids composition in Italian Mediterranean river buffalo was carried out. The fatty acid composition traits, fatty acid classes and fat percentage of 306 individual milk samples were determined. Associations between OXTR g.129C > T genotype and milk fatty acids composition were tested using a mixed linear model. The OXTR CC genotype was found significantly associated with higher contents of odd branched-chain fatty acids (OBCFA) (P < 0·0006), polyunsaturated FA (PUFA n 3 and n 6) (P < 0·0032 and P < 0·0006, respectively), stearic acid (C18) (P < 0·02) and lower level of palmitic acid (C16) (P < 0·02). The results of this study suggest that the OXTR CC animals might be useful in selection toward the improvement of milk fatty acid composition.
A low-cost programmable pulse generator for physiology and behavior

Precisely timed experimental manipulations of the brain and its sensory environment are often employed to reveal principles of brain function. While complex and reliable pulse trains for temporal stimulus control can be generated with commercial instruments, contemporary options remain expensive and proprietary. We have developed Pulse Pal, an open source device that allows users to create and trigger software-defined trains of voltage pulses with high temporal precision. Here we describe Pulse Pal’s circuitry and firmware, and characterize its precision and reliability. In addition, we supply online documentation with instructions for assembling, testing and installing Pulse Pal. While the device can be operated as a stand-alone instrument, we also provide application programming interfaces in several programming languages. As an inexpensive, flexible and open solution for temporal control, we anticipate that Pulse Pal will be used to address a wide range of instrumentation timing challenges in neuroscience research.
Estimation of the oceanic pCO 2 in the North Atlantic from VOS lines in-situ measurements: parameters needed to generate seasonally mean maps

Abstract. Automated instruments on board Volunteer Observing Ships (VOS) have provided high-frequency pCO2 measurements over basin-wide regions for a decade or so. In order to estimate regional air-sea CO2 fluxes, it is necessary to interpolate between in-situ measurements to obtain maps of the marine pCO2. Such an interpolation remains, however, a difficult task because VOS lines are too distant from each other to capture the high pCO2 variability. Relevant physical parameters available at large scale are thus necessary to serve as a guide to estimate the pCO2 values between the VOS lines. Satellites do not measure pCO2 but they give access to parameters related to the processes that control its variability, such as sea surface temperature (SST). In this paper we developed a method to compute pCO2 maps using satellite data (SST and CHL, the chlorophyll concentration), combined with a climatology of the mixed-layer depth (MLD). Using 15 401 measurements of surface pCO2 acquired in the North Atlantic between UK and Jamaica, between June 1994 and August 1995, we show that the parameterization of pCO2 as a function of SST, CHL and MLD yields more realistic pCO2 values than parameterizations that have been widely used in the past, based on SST, latitude, longitude or SST only. This parameterization was then used to generate seasonal maps of pCO2 over the North Atlantic. Results show that our approach yields the best marine pCO2 estimates, both in terms of absolute accuracy, when compared with an independent data set, and of geographical patterns, when compared to the climatology of Takahashi et al. (2002). This suggests that monitoring the seasonal variability of pCO2 over basin-wide regions is possible, provided that sufficient VOS lines are available.
Mobile Robot Control Architecture for Reflexive Avoidance of Moving Obstacles

In this paper, a three-layer (deliberative, sequencing, reflexive) architecture is adopted and the structure of the reflexive layer is discussed. The objective of this architecture is to extract the basic actions that require hard-real-time execution from non-real-time-allowed behaviors by separating them into the reflexive and sequencing layers, respectively. The reflexive layer consists of resources, actions, an action coordinator and a motion controller. To guarantee the hard-real-time execution, a set of simple actions and an action coordinator are designed using the functions provided in the RTAI (Real-Time Application Interface for Linux) environment. Also, an obstacle avoidance algorithm based upon data from a laser range scanner is developed. For the purpose of avoiding a moving obstacle, which is treated as a moving circle through segmentation and circularization processes, a Kalman filter is developed to estimate the distance and the heading of the center of the moving circle. The effectiveness and real-time characteristics of the proposed reflexive layer and the developed algorithms are examined through experiments using scattered stand-still obstacles as well as a moving human.
The Application of Link Mining in Social Network Analysis

Recently, link mining is becoming a very popular research area not only for data mining and web mining but also in the field of social network analysis. Many researches are focusing on developing new link mining techniques and algorithms, or devoting to improve traditional mining techniques for social network analysis. This paper discuss about challenges in the area of link mining and focusing on application requirements especially in the area of social network analysis. It discusses some ongoing challenges and suggests ideas that could be opportunities for solutions.
How Do Distance Learners Connect?

Distance learners often experience social isolation and impoverished social interaction with their remote peers. To better understand the connections that distance learners are able to build with peers, we interviewed them about whether and how they perceive or cultivate connections with one another. Our analysis reveals how connections in an online learning environment are formed and experienced across different social contexts and technology affordances, and what strategies and practices enable and inhibit these connections. We discuss the implications of our findings for concepts of shared identity and evolving peer relationships among online learners and for design directions that might address their social needs.
Visceral Obesity in Japanese Patients with Metabolic Syndrome: Reappraisal of Diagnostic Criteria by CT Scan

To reappraise the cutoff level of abdominal circumference (AC) for diagnosis of visceral obesity in Japanese, we examined the association of visceral fat deposition with other constituents of metabolic syndrome and atherosclerotic cardiovascular disease (ASCD). CT was used for determination of visceral-fat area (VFA), subcutaneous-fat area (SFA) and AC on CT (ACCT) in 420 Japanese patients with (n=180) or without ASCD (n=240). VFA cutoff levels were calculated by receiver operating characteristic (ROC) analysis. ACCT correlated with VFA (r=0.828), SFA (r=0.795), and AC measured with an anthropometric tape (ACM, r=0.96). The VFA cutoff levels yielding the maximum sensitivity and specificity to predict two or more components of metabolic syndrome were 92 cm2 in males and 63 cm2 in females, which correspond to ACM values of 83 cm and 78 cm, respectively. The male ACM cutoff level was similar to the AC in current Japanese criteria (85 cm), but the female ACM cutoff level was considerably smaller than the criteria, and this change in cutoff level increased the prevalence of metabolic syndrome in females three-fold. The cutoff levels of VFA for predicting presence of ASCD were 98 cm2 in males and 75 cm2 in females, corresponding to ACM values of 84 cm and 80 cm, respectively. The present results obtained by CT support the validity of the current Japanese criteria for visceral obesity in males but not in females. ACM of 78 cm appears to be a cutoff level suitable for diagnosing visceral obesity in Japanese females, though further confirmation is needed.
During ischemia‐reperfusion in rat kidneys, heat shock response is not regulated by expressional changes of heat shock factor 1

Abstract Ischemia‐reperfusion injury is known to induce the inducible form of the 70 kDa heat shock protein HSP70i (or HSP72) mainly via rapid activation of heat shock transcription factor 1 (HSF1). However, little is known about the regulation of the HSF1 gene. We therefore studied the time course of HSF1 mRNA transcription and its relation to the expression pattern of the HSP70i mRNA in the renal cortex, this being the most vulnerable and functionally most important part of the kidney, after different periods of unilateral renal ischemia (10–180 min) and reperfusion (up to 60 min) in male Wistar rats (10 weeks old). Immediately after ischemia there was a significant induction of HSP70i genes. While HSP70i expression constantly increased (up to 4‐fold) during reperfusion, even to a higher extent with prolongation of ischemia, HSF1 mRNA remained constitutively expressed under all conditions. Thus, we conclude that during ischemia‐reperfusion in rat kidneys, the heat shock response is regulated by other means than expressional changes of HSF1.
A Personal Computer Based 360 Degree Vision Distributed Aperture System

Visible light cameras are commonly used for surveillance applications. However, a single camera can only provide a limited field of view (FOV). To overcome this problem, distributed aperture systems (DAS) are developed to provide a broader FOV by combining the views from multiple cameras. In this paper, we present a personal-computer-based 360 degree vision DAS system, and describe how to offline estimate the orientations of the cameras constituting the DAS system, as well as online synthesize a virtual view in real time. Our system is able to synthesize a color virtual view of up to 2048×1024 pixels at a speed of 39 frames per second (fps). A large majority of the workload of the online synthesis of the virtual view is implemented on the Graphic Processing Unit (GPU).
Intrusion detection based on Neuro-Fuzzy classification

Computer security is far from being guaranteed due to the scalability of computer networks, the constant evolution of risks and the presence of noisy information. Several solutions were proposed to ensure the integrity, confidentiality and availability of resources, including intrusion detection systems (IDS). The main objective of the current work is first to take advantage of data mining techniques such as normalization, feature selection and eliminating redundancies in order to analyze the huge data like the KDDCUP'99. The second objective is the learning ability of neural networks and the third one is the fuzzy logic reasoning that realizes knowledge wave characters. The proposed model is the Neuro-Fuzzy model precisely the NEFCLASS (Neuro Fuzzy Classification) model of a generic fuzzy perceptron which is in the form of a combination of neuron and fuzzy system networks. This model is characterized by its powerfulness thanks to its large database and rapidity due to its parallel architecture. Moreover, it can be easily updated through the re-learning process following the scalability potential inherited in its architecture. As well as it is distinguished by an intuitive model presented by linguistic rules that are easily understood by the security operator. To test out the adaptability of our approach in detecting unknown attacks we use a test database , namely corrected test that contains new attacks that are not present in the training set and compare the results obtained by the model ANFIS. We prove that our approach based on NEFCLASS model is more powerful in classifying intrusions than the one based on ANFIS model. To highlight the motivation for using the Neuro-Fuzzy Classifier, a comparative study was conducted by using the full 10% KDD among the NEFCLASS model and other supervised classifiers which are ANN and C5.0.
Mining Mobile Internet Packets for Malware Detection

With the fast development of mobile devices, the volume of mobile internet traffic increased dramatically. Various information is potential to be mined from it. In this paper, the large-scale mobile internet traffic is employed to protect end-users from mobile malwares that emerge at a similar speed to that of mobile internet. Traditional mobile malware detection methods often inevitably consume the limited battery life and computing resource of the end device. To solve these problems, a novel framework, Mining Mobile Internet Packets for Malware Detection (MMIP-MD), is proposed. Since the new technology of format preserving encryption (FPE) made the data of mobile internet traffic from telecommunication operators accessible and minable without leaking end-users' privacies, the framework thus aims feasibly at detecting mobile malwares using the traffic data only, which moves the detection from the end device to the internet side. It has good extensibility since a variety of mining algorithms can be applied on this framework to discover behavioral patterns of malwares. In addition, a real example of Bayes classification was implemented to illustrate the framework and test its feasibility.
Context-Informed Scheduling and Analysis: Improving Accuracy of Mobile Self-Reports

Mobile self-reports are a popular technique to collect participant labelled data in the wild. While literature has focused on increasing participant compliance to self-report questionnaires, relatively little work has assessed response accuracy. In this paper, we investigate how participant context can affect response accuracy and help identify strategies to improve the accuracy of mobile self-report data. In a 3-week study we collect over 2,500 questionnaires containing both verifiable and non-verifiable questions. We find that response accuracy is higher for questionnaires that arrive when the phone is not in ongoing or very recent use. Furthermore, our results show that long completion times are an indicator of a lower accuracy. Using contextual mechanisms readily available on smartphones, we are able to explain up to 13% of the variance in participant accuracy. We offer actionable recommendations to assist researchers in their future deployments of mobile self-report studies.
Cache-on-demand: recycling with certainty

Queries posed to a database usually access some common relations, or share some common sub-expressions. We examine the issue of caching using a novel framework, called cache-on-demand (CoD). CoD views intermediate/final answers of existing running queries as virtual caches that an incoming query can exploit. Those caches that are beneficial may then be materialized for the incoming query. Such an approach is essentially nonspeculative: the exact cost of investment and the return on investment are known, and the cache is certain to be reused. We address several issues for CoD to be realized. We also propose two optimizing strategies, Conform-CoD and Scramble-CoD, and evaluate their performance. Our results show that CoD-based schemes can provide substantial performance improvement.
The role and theoretical evolution of knowledge translation and exchange in public health.

BACKGROUND There is an increased emphasis in public health research on effective models and strategies to support knowledge translation (KT), the exchange, synthesis and ethically sound application of research findings within a complex set of interactions among researchers and knowledge users. In other words, KT can be seen as an acceleration of the knowledge cycle-an acceleration of the natural transformation of knowledge into use (Canadian Institutes of Health Services Research. Knowledge Translation Strategy, 2004). The most recent conceptualizations consider the complexities of public health decision-making. The role of practitioners and communities is increasingly considered. METHODS We identify, describe and discuss the theoretical underpinnings of KT and recommend a way forward to build the evidence for more effective practice. RESULTS Theoretical perspectives increasingly influence research on KT in public health. A range of innovative work is being conducted to explore methods for KT using practical tools, often with the support of government. CONCLUSIONS KT describes a crucial and to date under-developed element of the research process. There is an important gap in theoretically informed empirical studies of effectiveness of proposed approaches in public health, health promotion and preventive medicine, and thus much of the debate remains abstract. There is clearly an urgent policy need to establish the effectiveness of KT models in a range of contexts. This must include both the consideration of development and the utilization of knowledge.
Phase II Trial of Combined Modality Therapy with Myeloid Growth Factor Support in Patients with Locally Advanced Non-small Cell Lung Cancer

Introduction: To evaluate the efficacy and safety of myeloid growth factors in patients with locally advanced non-small cell lung cancer treated with combined modality therapy (CMT). Methods: Patients with stage IIIA/B non-small cell lung cancer, performance status 0 to 1, and forced expiratory volume in 1 second ≥1.5, received cisplatin 75 mg/m2 on day 1 + etoposide 80 mg/m2 on days 1 to 3 every 3 weeks for 2 cycles concurrent with thoracic radiotherapy to 61 Gy. filgrastim 5 mcg/kg/d was administered for 10 days beginning on day 4 of each chemotherapy cycle. Patients without progression received docetaxel 75 mg/m2 every 21 days for 3 cycles with peg-filgrastim 6 mg on day 2. The primary end point was a 50% reduction in the incidence of grade ¾ neutropenia compared with historical controls. Results: A total of 26 eligible patients were enrolled. Median age was 67, 76% were men, and 58% had stage IIIA. Gr3/4 neutropenia during CMT was 19.2% and 3.8%, respectively. There were no episodes of febrile neutropenia. Gr4 thrombocytopenia was 15.4% with 2 patients requiring transfusions. Gr3 esophagitis was noted in 7.7% and Gr ¾ pneumonitis in 21.6% of patients. No patients died of treatment-related toxicities. Dose reductions/delays occurred in 3.8% of patients during CMT. Median progression-free survival and median survival were 10.7 and 27.6 months, respectively. The 1- and 2-year survival rates were 61.5% and 46.2%, respectively. Conclusions: Our data suggest that the addition of filgrastim to CMT is safe and effective. The rate of grade ¾ toxicities, including febrile neutropenia, compares favorably to previous trials using a similar regimen. Dose intensity is maintained. This strategy merits further evaluation.
Design with FinFETs: Design rules, patterns, and variability

FinFETs have proven to be the device of choice for the next few technology generations. Consequently, design rules and limitations related to FinFETs need to be carefully understood. We present restricted and gridded design rules related to FinFETs. We also present results which indicate that a complete front-end-of-line (FEOL) and middle-of-line (MOL) of a memory with controllers can be designed from a fixed set of patterns. We also indicate sources of variations in FinFETs.
The Advanced Glycation End Product, N-(Carboxymethyl)lysine, Is a Product of both Lipid Peroxidation and Glycoxidation Reactions (*)

N-(Carboxymethyl)lysine (CML) is an advanced glycation end product formed on protein by combined nonenzymatic glycation and oxidation (glycoxidation) reactions. We now report that CML is also formed during metal-catalyzed oxidation of polyunsaturated fatty acids in the presence of protein. During copper-catalyzed oxidation in vitro, the CML content of low density lipoprotein increased in concert with conjugated dienes but was independent of the presence of the Amadori compound, fructoselysine, on the protein. CML was also formed in a time-dependent manner in RNase incubated under aerobic conditions in phosphate buffer containing arachidonate or linoleate; only trace amounts of CML were formed from oleate. After 6 days of incubation the yield of CML in RNase from arachidonate was 0.7 mmol/mol lysine compared with only 0.03 mmol/mol lysine for protein incubated under the same conditions with glucose. Glyoxal, a known precursor of CML, was also formed during incubation of RNase with arachidonate. These results suggest that lipid peroxidation, as well as glycoxidation, may be an important source of CML in tissue proteins in vivo and that CML may be a general marker of oxidative stress and long term damage to protein in aging, atherosclerosis, and diabetes.
Regularization of orthonormal vector sets using coupled PDE's

We address the problem of restoring, while presenting possible discontinuities, fields of noisy orthonormal vector sets, taking the orthonormal constraints explicity into account. We develop a variational solution for the general case where each image feature may correspond to multiple n-D orthogonal vectors of unit norms. We first formulate the problem in a new variational framework, where discontinuities and orthonormal constraints are preserved by means of constrained minimization and /spl Phi/-function regularization, leading to a set of coupled anisotropic diffusion PDE. A geometric interpretation of the resulting equations, coming from the field of solid mechanics, is proposed for the 3D case. Two interesting restrictions of our framework are also tackled: the regularization of 30 rotation matrices and the direction diffusion (the parallel with previous works is made). Finally, we present a number of denoising results and applications.