Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultrastructural abnormalities and loss of myelinated fibers in the corpus callosum of demyelinated mice induced by cuprizone

It is now accepted that white matter abnormalities play an important role in demyelinating diseases and a wide range of psychiatric disorders. Experimental demyelination (especially induced by cuprizone) has been investigated extensively. However, details regarding demyelination and ultrastructural changes of myelinated fibers have not been previously reported. Therefore, we determined the extent of demyelination using quantitative stereology. Mice exposed to cuprizone in the current study showed abnormal anxiety‐like behavior without impaired spatial learning or memory. The myelinated fibers in whole corpus callosum of mice exposed to cuprizone showed extensive myelin deficiencies and occasional axonal injuries. The total length of the myelinated fibers in whole corpus callosum of mice exposed to cuprizone was significantly decreased by 45% compared with control mice. The loss of myelinated fibers was mainly due to the marked loss of the fibers with a diameter of 0.4 to 0.8 μm. The g‐ratio of the myelinated fibers in the corpus callosum of mice exposed to cuprizone (0.69 ± 0.02) was significantly decreased compared with control mice (0.76 ± 0.02). These results might help us to further understand the role of white matter abnormalities in demyelinating diseases or a wide range of psychiatric disorders. © 2016 Wiley Periodicals, Inc.
Kinetic and kinematic patterns during high intensity clean movement: searching for optimal load

ABSTRACT The aim of the present study was to investigate loading effects on kinematic and kinetic variables among elite-weightlifters in order to identify an optimal training load to maximize power production for clean-movement. Nine elite-weightlifter (age: 24 ± 4years, body-mass: 77 ± 6.5kg, height: 176 ± 6.1cm and 1RM clean: 170 ± 5kg) performed 2 separate repetitions of the clean using 85, 90, 95% and 100%, in a randomized order, while standing on a force platform and being recorded using 3D-capture-system. Differences in kinematics (barbell displacement, velocity and acceleration) and kinetics (power, vertical ground reaction force (vGRF), rate of force development (RFD), and work) across the loads were statistically assessed. Results revealed significant load effects for the majority of the studied parameters (p < 0.01) and showed that typical bar-displacement, greatest bar-velocity and peak-power were achieved at 85 and 90% 1RM (p < 0.001). Additionally greater average power was shown for 90 and 95% (p < 0.01) and greater work and vGRF were shown for 90, 95 and 100% than 85% 1RM (p < 0.05). Load had no significant effect on peak-vGRF and peak-RFD (p > 0.05). The results of this study, suggest 90% 1RM to be the most advantageous load to train explosive-force and to enhance power-outputs while maintaining technical efficiency in elite-weightlifters.
Temperature dependence of lower critical field of YBCO superconductor

We report the detailed study of the temperature dependence of the lower critical field (Hc1) of the YBa2Cu3O7 superconductor by magnetization measurements. The curve shows the multiband gap behavior of the sample. It is found that the sample is not a single BCS type superconductor. Hc1 is measured as the point at which the curve deviates from a Meissner-like linear M(H) curve to a nonlinear path. The Hc1 for YBCO at different temperatures from 10K to 85K has been determined by magnetization measurements M(H) with applied field parallel to the c-axis. The sample phase purity has been confirmed by Rietveld fitted X-ray diffraction data. The amplitude (1-17Oe) dependent AC susceptibility confirms the granular nature of superconducting compound. Using Bean model we calculated the temperature dependency of inter-grain critical current density and Jc(0) is found as 699.14kAcm-2.We report the detailed study of the temperature dependence of the lower critical field (Hc1) of the YBa2Cu3O7 superconductor by magnetization measurements. The curve shows the multiband gap behavior of the sample. It is found that the sample is not a single BCS type superconductor. Hc1 is measured as the point at which the curve deviates from a Meissner-like linear M(H) curve to a nonlinear path. The Hc1 for YBCO at different temperatures from 10K to 85K has been determined by magnetization measurements M(H) with applied field parallel to the c-axis. The sample phase purity has been confirmed by Rietveld fitted X-ray diffraction data. The amplitude (1-17Oe) dependent AC susceptibility confirms the granular nature of superconducting compound. Using Bean model we calculated the temperature dependency of inter-grain critical current density and Jc(0) is found as 699.14kAcm-2.
Exploring ESL Teacher Beliefs and Classroom Practices of CLT: A Case Study.

This paper presents a case study that investigated and compared the stated beliefs and observed classroom practices relating to Communicative Language Teaching (CLT) of two ESL teachers. The findings of the study revealed that both the teachers hold similar complex beliefs that mostly contradict the philosophy of CLT. The practices were not in line with their stated belief or CLT principles either. The findings also indicate that teachers indeed possess a set of complex beliefs that are not always realized in their classroom practices for a variety of potential reasons: some of these might be directly related to the context of teaching. Additionally, this study found that by articulating and reflecting on his beliefs, the teacher became more aware of the meaning and impact of these beliefs on his classroom practices. Some implications of future studies have also discussed.
Evaluating Long-Term Outcomes following Nipple-Sparing Mastectomy and Reconstruction in the Irradiated Breast.

www.PRSJournal. com 605e The evolution of techniques in breast reconstruction has resulted in dramatically improved aesthetic results following implantbased reconstruction.1–8 Nipple-sparing mastectomy has been a major contributing factor for these improvements. Despite the positive impact of this valuable option, patient selection continues to eliminate this choice for many patients. The ideal candidate for nipple-areola complex preservation is one with small, nonptotic or minimally ptotic breasts and a single small peripheral tumor. Concerns over blood supply and vascularity are minimized with shorter flaps and a smaller dissection area. In addition, with the improved techniques related to breast implants, acellular tissue matrices, and fat grafting, nipple-sparing techniques coupled with reconstruction can result in remarkable aesthetic results.1,2,4,9,10 Despite early concerns with the oncologic efficacy and risk for recurrence in nipple-sparing mastectomy, there
A systematic sensitivity analysis of constrained cellular automata model for urban growth simulation based on different transition rules

Cellular automata (CA) have emerged as a primary tool for urban growth modeling due to its simplicity, transparency, and ease of implementation. Sensitivity analysis is an important component in CA modeling for a better understanding of errors or uncertainties and their propagation. Most studies on sensitivity analyses in urban CA modeling focus on specific component such as neighborhood configuration or stochastic perturbation. However, sensitivity analysis of transition rules, which is one of the core components in CA models, has not been systematically done. This article proposes a systematic sensitivity analysis of major operational components in urban CA modeling using a stepwise comparison approach. After obtaining transition rules, three stages (i.e. static calibration of transition rules, dynamic evolution with varied time steps, and incorporation with stochastic perturbation) are designed to facilitate a comprehensive analysis. This scheme implemented with a case study in Guangzhou City (China) reveals that gaps in performance from static calibration with different transition rules can be reduced when dynamic evolution is considered. Moreover, the degree of stochastic perturbation is closely related to obtain urban morphology. However, a more realistic (i.e. fragmented) urban landscape is achieved at the cost of decreasing pixel-based accuracy in this study. Thus, a trade-off between pixel-based and pattern-based comparisons should be balanced in practical urban modeling. Finally, experimental results illustrate that models for transition rules extraction with good quality can do an assistance for urban modeling through reducing errors and uncertainty range. Additionally, ensemble methods can feasibly improve the performance of CA models when coupled with nonparametric models (i.e. classification and regression tree).
Postoperative MRI Evaluation of a Radiofrequency Cordotomy Lesion for Intractable Cancer Pain

BACKGROUND AND PURPOSE: There are limited data on the use of postoperative imaging to evaluate the cordotomy lesion. We aimed to describe the cordotomy lesion by using postoperative MR imaging in patients after percutaneous cordotomy for intractable cancer pain. MATERIALS AND METHODS: Postoperative MR imaging and clinical outcomes were prospectively obtained for 10 patients after percutaneous cordotomy for intractable cancer pain. Area, signal intensity, and location of the lesion were recorded. Clinical outcomes were measured by using the Visual Analog Scale and the Brief Pain Inventory–Short Form, and correlations with MR imaging metrics were evaluated. RESULTS: Ten patients (5 men, 5 women; mean age, 58.5 ± 9.6 years) were included in this study. The cordotomy lesion was hyperintense with central hypointense foci on T2-weighted MR imaging, and it was centered in the anterolateral quadrant at the C1–C2 level. The mean percentage of total cord area lesioned was 24.9% ± 7.9%, and most lesions were centered in the dorsolateral region of the anterolateral quadrant (66% of the anterolateral quadrant). The number of pial penetrations correlated with the percentage of total cord area that was lesioned (r = 0.78; 95% CI, 0.44–0.89; P = .008) and the length of T2-weighted hyperintensity (r = 0.85; 95% CI, 0.54–0.89; P = .002). No significant correlations were found between early clinical outcomes and quantitative MR imaging metrics. CONCLUSIONS: We describe qualitative and quantitative characteristics of a cordotomy lesion on early postoperative MR imaging. The size and length of the lesion on MR imaging correlate with the number of pial penetrations. Larger studies are needed to further investigate the clinical correlates of MR imaging metrics after percutaneous cordotomy.
Influence of Poly(L-Lactic Acid) Nanofibers and BMP-2–Containing Poly(L-Lactic Acid) Nanofibers on Growth and Osteogenic Differentiation of Human Mesenchymal Stem Cells

The aim of this study was to characterize synthetic poly-(L-lactic acid) (PLLA) nanofibers concerning their ability to promote growth and osteogenic differentiation of stem cells in vitro, as well as to test their suitability as a carrier system for growth factors. Fiber matrices composed of PLLA or BMP-2–incorporated PLLA were seeded with human mesenchymal stem cells and cultivated over a period of 22 days under growth and osteoinductive conditions, and analyzed during the course of culture, with respect to gene expression of alkaline phosphatase (ALP), osteocalcin (OC), and collagen I (COL-I). Furthermore, COL-I and OC deposition, as well as cell densities and proliferation, were analyzed using fluorescence microscopy. Although the presence of nanofibers diminished the dexamethasone-induced proliferation, there were no differences in cell densities or deposition of either COL-I or OC after 22 days of culture. The gene expression of ALP, OC, and COL-I decreased in the initial phase of cell cultivation on PLLA nanofibers as compared to cover slip control, but normalized during the course of cultivation. The initial down-regulation was not observed when BMP-2 was directly incorporated into PLLA nanofibers by electrospinning, indicating that growth factors like BMP-2 might survive the spinning process in a bioactive form.
Experiences of peer support in self-management interventions among people with ischemic heart disease: a systematic review protocol.

REVIEW QUESTION/OBJECTIVE The objective of this review is to identify, appraise and synthesize the best available evidence regarding people with ischemic heart disease and their experiences with peer support in self-management interventions.More specifically, the review question is: How do people with ischemic heart disease experience peer support in structured self-management interventions led or co-led by peers?
Bleomycin pulmonary toxicity does not adversely affect the outcome of patients with Hodgkin lymphoma

Abstract Bleomycin pulmonary toxicity (BPT) is a well-described complication of bleomycin-containing regimens. Previous data on risk factors and the impact of BPT on survival in Hodgkin lymphoma (HL) were conflicting. We reviewed 253 HL patients treated with adriamycin, bleomycin, vinblastine, dacarbazine (ABVD) at the Princess Margaret Hospital from 1999 to 2009 to examine the incidence and risk factors for BPT, and the effect of BPT on survival. BPT was defined by pulmonary symptoms, bilateral interstitial infiltrates on computed tomography, and the absence of infection. Kaplan–Meier estimates were used to compare overall survival (OS) and progression-free survival (PFS) between groups. The incidence of BPT was low (11%). Age ≥45 (OR = 2.5) and granulocyte colony-stimulating factor use (OR = 3.6) were identified as predictors of BPT on multivariable logistic models. At a follow-up of 5 years, OS and PFS were 88% and 82%, respectively. Neither BPT nor bleomycin discontinuation had significant impact on survival outcomes.
Patients' evaluations of patient safety in English general practices: a cross-sectional study.

BACKGROUND Description of safety problems and harm in general practices has previously relied on information from health professionals, with scarce attention paid to experiences of patients. AIM To examine patient-reported experiences and outcomes of patient safety in primary care. DESIGN AND SETTING Cross-sectional study in 45 general practices across five regions in the north, centre, and south of England. METHOD A version of the Patient Reported Experiences and Outcomes of Safety in Primary Care (PREOS-PC) questionnaire was sent to a random sample of 6736 patients. Main outcome measures included 'practice activation' (what a practice does to create a safe environment); 'patient activation' (how proactive are patients in ensuring safe healthcare delivery); 'experiences of safety events' (safety errors); 'outcomes of safety' (harm); and 'overall perception of safety' (how safe patients rate their practice). RESULTS Questionnaires were returned by 1244 patients (18.4%). Scores were high for 'practice activation' (mean [standard error] = 80.4 out of 100 [2.0]) and low for 'patient activation' (26.3 out of 100 [2.6]). Of the patients, 45% reported experiencing at least one safety problem in the previous 12 months, mostly related to appointments (33%), diagnosis (17%), patient provider communication (15%), and coordination between providers (14%). Twenty-three per cent of the responders reported some degree of harm in the previous 12 months. The overall assessment of level of safety of practices was generally high (86.0 out of 100 [16.8]). CONCLUSION Priority areas for patient safety improvement in general practices in England include appointments, diagnosis, communication, coordination, and patient activation.
Unsupervised ensemble learning and its application to temporal data clustering

The University of Manchester, Faculty of Engineering and Physical Sciences ABSTRACT OF THESIS submitted by Yun Yang for the degree of Doctor of Philosophy and entitled: Unsupervised ensemble learning and its application to temporal data clustering. Date of Submission: 02/11/2011Temporal data clustering can provide underpinning techniques for the discovery of intrinsic structures and can condense or summarize information contained in temporal data, demands made in various fields ranging from time series analysis to understanding sequential data. In the context of the treatment of data dependency in temporal data, existing temporal data clustering algorithms can be classified in three categories: model-based, temporal-proximity and feature-based clustering. However, unlike static data, temporal data have many distinct characteristics, including high dimensionality, complex time dependency, and large volume, all of which make the clustering of temporal data more challenging than conventional static data clustering. A large of number of recent studies have shown that unsupervised ensemble approaches improve clustering quality by combining multiple clustering solutions into a single consolidated clustering ensemble that has the best performance among given clustering solutions. This thesis systemically reviews existing temporal clustering and unsupervised ensemble learning techniques and proposes three unsupervised ensemble learning approaches for temporal data clustering. The first approach is based on the ensemble of HMM k-models clustering, associated with agglomerative clustering refinement, for solving problems with finding the intrinsic number of clusters, model initialization sensitivity and computational cost, problems which exist in most forms of model-based clustering.Secondly, we propose a sampling-based clustering ensemble approach namely the iteratively constructed clustering ensemble. Our approach iteratively constructs multiple partitions on the subset of whole input instances selected by a smart weighting scheme, combining the strength of both boosting and bagging approaches whilst attempting to simultaneously avoid their drawbacks.Finally, we propose a weighted ensemble learning approach to temporal data clustering which combines partitions obtained by different representations of temporal data. As a result, this approach has the capability to capture the properties of temporal data and the synergy created by reconciling diverse partitions due to combining different representations. The proposed weighted function has out-standing ability in automatic model selection and appropriate grouping for complex temporal data.
Crellasterones A and B: A-Norsterol Derivatives from the New Caledonian Sponge Crella incrustans

Two new steroids, crellasterones A (1) and B (2), together with the previously reported compound chalinasterol (3) and several nucleosides (4–7), were isolated from the sponge Crella incrustans, collected in New Caledonia. The structures of the new compounds were established by extensive NMR and mass spectroscopic analysis and revealed unprecedented marine natural products with a ring-contracted A-norsterone nucleus and 2-hydroxycyclopentenone chromophore. The absolute configurations were derived from electronic circular dichroism (ECD) measurements in conjunction with high-level density functional theory (DFT) calculations.
Disentangling Sequential Effects of Stimulus- and Response-related Conflict and Stimulus-Response Repetition using Brain Potentials

Conflict monitoring theory holds that detection of conflicts in information processing by the anterior cingulate cortex (ACC) results in processing adaptation that minimizes subsequent conflict. Applying an Eriksen f lanker task with four stimuli mapped onto two responses, we investigated whether such modulation occurs only after response-related or also after stimulus-related conflict, focusing on the N2 component of the event-related potential. Contrasting with previous findings, both stimulus- and response-related conflict elicited enhancement of the N2, suggesting that the ACC is sensitive to conflict at both the stimulus and the response level. However, neither type of conflict resulted in reduced conflict effects on the following trial when stimulus-response (S-R) sequence effects were controlled by excluding identical S-R repetition trials. Identical S-R repetitions were associated with facilitated processing, thus demonstrating that inclusion of these trials in the analysis may mimic results predicted by the conflict adaptation hypothesis.
Domain Adaptation for Neural Networks by Parameter Augmentation

We propose a simple domain adaptation method for neural networks in a supervised setting. Supervised domain adaptation is a way of improving the generalization performance on the target domain by using the source domain dataset, assuming that both of the datasets are labeled. Recently, recurrent neural networks have been shown to be successful on a variety of NLP tasks such as caption generation; however, the existing domain adaptation techniques are limited to (1) tune the model parameters by the target dataset after the training by the source dataset, or (2) design the network to have dual output, one for the source domain and the other for the target domain. Reformulating the idea of the domain adaptation technique proposed by Daume (2007), we propose a simple domain adaptation method, which can be applied to neural networks trained with a cross-entropy loss. On captioning datasets, we show performance improvements over other domain adaptation methods.
Genetic Modifiers of Duchenne Muscular Dystrophy and Dilated Cardiomyopathy

Objective Dilated cardiomyopathy (DCM) is a major complication and leading cause of death in Duchenne muscular dystrophy (DMD). DCM onset is variable, suggesting modifier effects of genetic or environmental factors. We aimed to determine if polymorphisms previously associated with age at loss of independent ambulation (LoA) in DMD (rs28357094 in the SPP1 promoter, rs10880 and the VTTT/IAAM haplotype in LTBP4) also modify DCM onset. Methods A multicentric cohort of 178 DMD patients was genotyped by TaqMan assays. We performed a time-to-event analysis of DCM onset, with age as time variable, and finding of left ventricular ejection fraction < 50% and/or end diastolic volume > 70 mL/m2 as event (confirmed by a previous normal exam < 12 months prior); DCM-free patients were censored at the age of last echocardiographic follow-up. Results Patients were followed up to an average age of 15.9 ± 6.7 years. Seventy-one/178 patients developed DCM, and median age at onset was 20.0 years. Glucocorticoid corticosteroid treatment (n = 88 untreated; n = 75 treated; n = 15 unknown) did not have a significant independent effect on DCM onset. Cardiological medications were not administered before DCM onset in this population. We observed trends towards a protective effect of the dominant G allele at SPP1 rs28357094 and recessive T allele at LTBP4 rs10880, which was statistically significant in steroid-treated patients for LTBP4 rs10880 (< 50% T/T patients developing DCM during follow-up [n = 13]; median DCM onset 17.6 years for C/C-C/T, log-rank p = 0.027). Conclusions We report a putative protective effect of DMD genetic modifiers on the development of cardiac complications, that might aid in risk stratification if confirmed in independent cohorts.