Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of primary care data to predict those most vulnerable to cold weather: a case-crossover analysis

Background The National Institute for Health and Care Excellence (NICE) recommends that GPs use routinely available data to identify patients most at risk of death and ill health from living in cold homes. Aim To investigate whether sociodemographic characteristics, clinical factors, and house energy efficiency characteristics could predict cold-related mortality. Design and setting A case-crossover analysis was conducted on 34 777 patients aged ≥65 years from the Clinical Practice Research Datalink who died between April 2012 and March 2014. The average temperature of date of death and 3 days previously were calculated from Met Office data. The average 3-day temperature for the 28th day before/after date of death were calculated, and comparisons were made between these temperatures and those experienced around the date of death. Method Conditional logistic regression was applied to estimate the odds ratio (OR) of death associated with temperature and interactions between temperature and sociodemographic characteristics, clinical factors, and house energy efficiency characteristics, expressed as relative odds ratios (RORs). Results Lower 3-day temperature was associated with higher risk of death (OR 1.011 per 1°C fall; 95% CI = 1.007 to 1.015; P<0.001). No modifying effects were observed for sociodemographic characteristics, clinical factors, and house energy efficiency characteristics. Analysis of winter deaths for causes typically associated with excess winter mortality (N = 7710) showed some evidence of a weaker effect of lower 3-day temperature for females (ROR 0.980 per 1°C, 95% CI = 0.959 to 1.002, P = 0.082), and a stronger effect for patients living in northern England (ROR 1.040 per 1°C, 95% CI = 1.013 to 1.066, P = 0.002). Conclusion It is unlikely that GPs can identify older patients at highest risk of cold-related death using routinely available data, and NICE may need to refine its guidance.
An Arctic predator–prey system in flux: climate change impacts on coastal space use by polar bears and ringed seals

Climate change is impacting different species at different rates, leading to alterations in biological interactions with ramifications for wider ecosystem functioning. Understanding these alterations can help improve predictive capacity and inform management efforts designed to mitigate against negative impacts. We investigated how the movement and space use patterns of polar bears (Ursus maritimus) in coastal areas in Svalbard, Norway, have been altered by a sudden decline in sea ice that occurred in 2006. We also investigated whether the spatial overlap between polar bears and their traditionally most important prey, ringed seals (Pusa hispida), has been affected by the sea-ice decline, as polar bears are dependent on a sea-ice platform for hunting seals. We attached biotelemetry devices to ringed seals (n = 60, both sexes) and polar bears (n = 67, all females) before (2002-2004) and after (2010-2013) a sudden decline in sea ice in Svalbard. We used linear mixed-effects models to evaluate the association of these species to environmental features and an approach based on Time Spent in Area to investigate changes in spatial overlap between the two species. Following the sea-ice reduction, polar bears spent the same amount of time close to tidal glacier fronts in the spring but less time in these areas during the summer and autumn. However, ringed seals did not alter their association with glacier fronts during summer, leading to a major decrease in spatial overlap values between these species in Svalbard's coastal areas. Polar bears now move greater distances daily and spend more time close to ground-nesting bird colonies, where bear predation can have substantial local effects. Our results indicate that sea-ice declines have impacted the degree of spatial overlap and hence the strength of the predator-prey relationship between polar bears and ringed seals, with consequences for the wider Arctic marine and terrestrial ecosystems. Shifts in ecological interactions are likely to become more widespread in many ecosystems as both predators and prey respond to changing environmental conditions induced by global warming, highlighting the importance of multi-species studies.
Optimization, evaluation and calibration of a cross-strip DOI detector

This study depicts the evaluation of a SiPM detector with depth of interaction (DOI) capability via a dual-sided readout that is suitable for high-resolution positron emission tomography and magnetic resonance (PET/MR) imaging. Two different 12 × 12 pixelated LSO scintillator arrays with a crystal pitch of 1.60 mm are examined. One array is 20 mm-long with a crystal separation by the specular reflector Vikuiti enhanced specular reflector (ESR), and the other one is 18 mm-long and separated by the diffuse reflector Lumirror E60 (E60). An improvement in energy resolution from 22.6% to 15.5% for the scintillator array with the E60 reflector is achieved by taking a nonlinear light collection correction into account. The results are FWHM energy resolutions of 14.0% and 15.5%, average FWHM DOI resolutions of 2.96 mm and 1.83 mm, and FWHM coincidence resolving times of 1.09 ns and 1.48 ns for the scintillator array with the ESR and that with the E60 reflector, respectively. The measured DOI signal ratios need to be assigned to an interaction depth inside the scintillator crystal. A linear and a nonlinear method, using the intrinsic scintillator radiation from lutetium, are implemented for an easy to apply calibration and are compared to the conventional method, which exploits a setup with an externally collimated radiation beam. The deviation between the DOI functions of the linear or nonlinear method and the conventional method is determined. The resulting average of differences in DOI positions is 0.67 mm and 0.45 mm for the nonlinear calibration method for the scintillator array with the ESR and with the E60 reflector, respectively; Whereas the linear calibration method results in 0.51 mm and 0.32 mm for the scintillator array with the ESR and the E60 reflector, respectively; and is, due to its simplicity, also applicable in assembled detector systems.
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

We present Deep Voice 3, a fully-convolutional attention-based neural text-to-speech (TTS) system. Deep Voice 3 matches state-of-the-art neural speech synthesis systems in naturalness while training ten times faster. We scale Deep Voice 3 to data set sizes unprecedented for TTS, training on more than eight hundred hours of audio from over two thousand speakers. In addition, we identify common error modes of attention-based speech synthesis networks, demonstrate how to mitigate them, and compare several different waveform synthesis methods. We also describe how to scale inference to ten million queries per day on one single-GPU server.
Sequence mutations and amplification of PIK3CA and AKT2 genes in purified ovarian serous neoplasms

Sequence mutations and gene amplifications lead to activation of the PIK3CA-AKT2 signaling pathway and have been reported in several types of neoplasms including ovarian cancer. Analysis of such genetic alterations, however, is usually complicated by contamination of normal cell DNA, artifacts associated with formalin-fixed tissues and the sensitivity of the techniques employed. In this study, we analyzed the sequence mutations in PIK3CA and AKT2 genes using purified tumor cells that were isolated from high-grade ovarian serous carcinomas and serous borderline tumors (SBTs) and assessed gene amplification using a dual-color FISH on tissue microarrays. Somatic sequence mutations in the kinase domain of AKT2 were not detected in any of the 65 ovarian tumors analyzed. Mutations of PIK3CA were rare, occurring only in one (2.3%) of 44 high-grade serous carcinomas and in only one (4.8%) of 21 SBTs. Dual-color FISH demonstrated that PIK3CA and AKT2 were not amplified in SBTs but amplified in 13.3% and 18.2% high-grade carcinomas, respectively. High-level amplification (>3 fold) was more frequently observed in AKT2 than in PIK3CA. Unlike mutations in ERBB2, KRAS and BRAF which are mutually exclusive in SBTs, co-amplification of PIK3CA and AKT2 was present in five high-grade carcinomas including the OVCAR3 cells. Amplification in either of the genes occurred in 27% high-grade serous carcinomas. In conclusion, the methods we employed provide unambiguous evidence that somatic sequence mutations of PIK3CA and ATK2 are rare in ovarian serous tumors but amplification of both genes may play an important role in the development of high-grade ovarian serous carcinoma.
Precise control of linear systems subject to actuator saturation using tracking differentiator and reduced order composite nonlinear feedback control

Aiming at the actuator saturation problem and the system performance requirement, this article proposes a new control scheme, i.e. a newly developed tracking differentiator-composite nonlinear feedback (TDCNF) control law, which is the combination of a tracking differentiator (TD) and a reduced order composite nonlinear feedback (CNF) control law. The TD, used here, mainly helps to provide a smooth reference signal and largely avoid actuator saturation. The reduced order CNF control law, on the one hand, estimates those unmeasurable state variables for measurement feedback control and, on the other hand, ensures satisfactory system performance. The stability of the newly developed TDCNF is proved in detail. Finally, to verify the effectiveness of the newly developed TDCNF control law, two illustrative examples are demonstrated and therein a novel design of the proposed control law is given. Simulation results show that the proposed control law can achieve good tracking performance and effectively avoid the actuator saturation.
Clinical characteristics of the patients with optic neuropathy associated with Sjögren ’ s syndrome

Purpose. To determine the diverse clinical features of optic neuropathy associated with primary Sjögren’s syndrome in Korean patients. Methods. Five women with acute and/or chronic optic neuropathy who were diagnosed as primary Sjögren’s syndrome were retrospectively evaluated. Primary Sjögren’s syndrome was diagnosed by signs and symptoms of keratoconjunctivitis sicca, positive serum anti-Ro/SSA and/or anti-La/SSB antibodies, and/or minor salivary gland biopsy. All patients underwent a complete ophthalmologic examination. Results. Among the five patients diagnosed as optic neuropathy related to primary Sjögren’s syndrome, four patients had bilateral optic neuropathy and one patient was unilateral. The clinical course was chronic in three patients and one of them showed acute exacerbation and was finally diagnosed with neuromyelitis optica spectrum disorder. The other two patients presented as acute optic neuritis and one was diagnosed with neuromyelitis optica spectrum disorder. Sicca symptoms were present in four patients, but only two patients reported these symptoms before the onset of optic neuropathy. Patients showed minimal response to systemic corticosteroids or steroid dependence, requiring plasmapheresis in the acute phase and immunosuppressive agents for maintenance therapy. Conclusions. Optic neuropathy associated with primary Sjögren’s syndrome may show variable clinical courses, including acute optic neuritis, insidious progression of chronic optic atrophy, or in the context of neuromyelitis optica spectrum disorders. Optic neuropathy may be the initial manifestation of primary Sjögren’s syndrome without apparent sicca symptoms, which makes the diagnosis often difficult. The presence of specific antibodies including anti-Ro/SSA, anti-La/ SSB, and anti-aquaporin-4 antibodies are supportive for the diagnosis and treatment in atypical cases of optic neuropathy. (Optom Vis Sci 2017;94:519Y526)
Topological Model for 2 D Image Representation : Definition and Optimal Extraction Algorithm

In this paper, we define the two dimensional topological map, a model which represents both topological and geometrical information of a two dimensional labeled image. Since this model is minimal, complete and unique, we can use it to define efficient image processing algorithms. The topological map is the last level of a map hierarchy. Each level represents the region boundaries of the image and is defined from the previous one in the hierarchy, thus giving a simple constructive definition. This model is similar to two existing structures but the main innovation of our approach is the progressive definition based on the successive map levels. These different maps can easily be extended in order to define the topological map in any dimension. Furthermore we provide an optimal extraction algorithm which extracts the different maps of the hierarchy in a single image scan. This algorithm is based on local configurations called precodes. Due to our constructive definition, different configurations are factorized which simplifies the implementation.
Software-Defined Next-Generation Satellite Networks: Architecture, Challenges, and Solutions

Traditional satellite networks depend on the closed and planned architecture. Thus, there are many challenges such as configuration update, new communication and networking technologies introduction, truly-differentiated services provision, satellite network device interoperability, and the integration of satellite and terrestrial networks. Software-defined networking (SDN) has the features of flexibility, programmability, and logical centralization, which increases network resource utilization, simplifies network management, reduces operating cost, and promotes the evolution and innovation. In this paper, a new software-defined architecture for next-generation satellite networks, called SoftSpace, is presented. The concepts of network function virtualization, network virtualization, and software-defined radio are exploited in the SoftSpace to facilitate the incorporation of new applications, services, and satellite communication technologies. This can not only reduce the capital expenditures and operational expenditures but also integrate satellite networks with terrestrial networks seamlessly, as well as can improve the interoperability of satellite network devices. In addition, we discuss the challenges and solutions for network management. The necessary network management instruments including multi-layer controller architecture, cooperative traffic classification, and utility-optimal network virtualization are presented. Finally, we discuss the challenges and solutions for space networking. The software-defined space networking solutions including quality of experience-aware space routing, SDN-enabled hybrid fault recovery mechanism, and software-defined space mobility management are developed.
RN as gatekeeper: gatekeeping as monitoring and supervision.

AIMS AND OBJECTIVES To understand the variation of ways that students understand the informal or buddy registered nurse role during facilitated clinical experience, and to identify the relationship between student learning and student understanding and experience of the registered nurse role during clinical experience. BACKGROUND Student clinical experience is an essential aspect of all undergraduate nursing programs. Students expect registered nurses to supervise and support them and to provide learning experiences during clinical placement. Both positive and negative experiences have been reported in the research literature. The quality of the relationship between the registered nurse and the student directly affects the learning outcome for students. DESIGN Qualitative research using a phenomenographic approach. METHODS Semi-structured individual interviews with 24 students from all three years of an undergraduate nursing program at a metropolitan university in Brisbane, Queensland, Australia, who voluntarily participated in this study. Interviews were conducted at the completion of a recent clinical experience. RESULTS While adequate monitoring and supervision is an expectation of students, there is a wide variation in the way registered nurses appear to understand this aspect of student learning. In the category of description, 'registered nurse as gatekeeper: gatekeeping as monitoring and supervision', student conceptions were identified as: registered nurse awareness, registered nurse vigilance, promoting learning/developing learning and growing (as) students. Students identified their experiences and the strategies they used when monitoring and supervision were lacking or limited. CONCLUSIONS The findings of this study illuminate the need for recognition of the complexity of the informal registered nurse role with students and highlight the areas that should be addressed to promote quality student learning experiences. RELEVANCE TO CLINICAL PRACTICE Registered nurses need adequate preparation for their informal role to support and supervise undergraduate students in clinical placement to ensure the safe development of student competence and confidence for their graduate registered nurse role.
Functional Cloning and Characterization of Antibiotic Resistance Genes from the Chicken Gut Microbiome

ABSTRACT Culture-independent sampling in conjunction with a functional cloning approach identified diverse antibiotic resistance genes for different classes of antibiotics in gut microbiomes from both conventionally raised and free-range chickens. Many of the genes are phylogenetically distant from known resistance genes. Two unique genes that conferred ampicillin and spectinomycin resistance were also functional in Campylobacter, a distant relative of the Escherichia coli host used to generate the genomic libraries.
Differential Privacy for Edge Weights in Social Networks

Social networks can be analyzed to discover important social issues; however, it will cause privacy disclosure in the process. The edge weights play an important role in social graphs, which are associated with sensitive information (e.g., the price of commercial trade). In the paper, we propose the MB-CI (Merging Barrels and Consistency Inference) strategy to protect weighted social graphs. By viewing the edge-weight sequence as an unattributed histogram, differential privacy for edge weights can be implemented based on the histogram. Considering that some edges have the same weight in a social network, we merge the barrels with the same count into one group to reduce the noise required. Moreover, -indistinguishability between groups is proposed to fulfill differential privacy not to be violated, because simple merging operation may disclose some information by the magnitude of noise itself. For keeping most of the shortest paths unchanged, we do consistency inference according to original order of the sequence as an important postprocessing step. Experimental results show that the proposed approach effectively improved the accuracy and utility of the released data.
Ropinirole in restless legs syndrome and periodic limb movement disorder

Restless legs syndrome and periodic limb movement disorder of sleep are now recognized as prevalent, distinct, yet overlapping disorders affecting all age groups. Although delineation of the mechanisms underlying these disorders continues to be the focus of very intense research efforts, it has become apparent that there is a prominent role for dopaminergic agents in the clinical management of these patients. Among the various dopaminergic drugs, ropinirole has undergone relatively intense and critical scrutiny, and appears to provide a safe and efficacious treatment option for patients with these two conditions. The more recent development of a controlled formulation for this drug is likely to yield additional benefits such as improved adherence and reduced fluctuations in daytime and nighttime symptoms. However, there is not enough evidence at this time to support such assumption.
Modeling the Energy Performance of LoRaWAN

LoRaWAN is a flagship Low-Power Wide Area Network (LPWAN) technology that has highly attracted much attention from the community in recent years. Many LoRaWAN end-devices, such as sensors or actuators, are expected not to be powered by the electricity grid; therefore, it is crucial to investigate the energy consumption of LoRaWAN. However, published works have only focused on this topic to a limited extent. In this paper, we present analytical models that allow the characterization of LoRaWAN end-device current consumption, lifetime and energy cost of data delivery. The models, which have been derived based on measurements on a currently prevalent LoRaWAN hardware platform, allow us to quantify the impact of relevant physical and Medium Access Control (MAC) layer LoRaWAN parameters and mechanisms, as well as Bit Error Rate (BER) and collisions, on energy performance. Among others, evaluation results show that an appropriately configured LoRaWAN end-device platform powered by a battery of 2400 mAh can achieve a 1-year lifetime while sending one message every 5 min, and an asymptotic theoretical lifetime of 6 years for infrequent communication.
Control of endemic methicillin-resistant Staphylococcus aureus: a cost-benefit analysis in an intensive care unit.

CONTEXT Despite the success of some countries in controlling endemic methicillin-resistant Staphylococcus aureus (MRSA), such programs have not been implemented for some hospitals with endemic infection because of concerns that these programs would be costly and of limited benefit. OBJECTIVE To compare the costs and benefits of an MRSA control program in an endemic setting. DESIGN AND SETTING Case-control study conducted at a medical intensive care unit (ICU) of a French university hospital with a 4% prevalence of MRSA carriage at ICU admission. PATIENTS Twenty-seven randomly selected patients who had ICU-acquired MRSA infection between January 1993 and June 1997, matched to 27 controls hospitalized during the same period without MRSA infection. MAIN OUTCOME MEASURES Intensive care unit costs attributable to MRSA infection, computed from excess therapeutic intensity in cases using estimates from a cost model derived in the same ICU, were compared with costs of the control program, derived from time-motion study of nurses and physicians. The threshold for MRSA carriage that would make the control strategy dominant was determined; sensitivity analyses varied rates of MRSA transmission and ratio of infection to transmission, length of ICU stay, and costs of isolation precautions. RESULTS The mean cost attributable to MRSA infection was US $9275 (median, $5885; interquartile range, $1400-$16,720). Total costs of the control program ranged from $340 to $1480 per patient. A 14% reduction in MRSA infection rate resulted in the control program being beneficial. In sensitivity analyses, the control strategy was dominant for a prevalence of MRSA carriage on ICU admission ranging from 1% to 7%, depending on costs of control measures and MRSA transmission, for infection rates greater than 50% following transmission. CONCLUSIONS In this example of a hospital with endemic MRSA infection, selective screening and isolation of carriers on ICU admission are beneficial compared with no isolation.
18F‐FDG‐Uptake of Hepatocellular Carcinoma on PET Predicts Microvascular Tumor Invasion in Liver Transplant Patients

Vascular invasion of hepatocellular carcinoma (HCC) is a major risk factor for poor outcome after liver transplantation (LT). The aim of this retrospective analysis was to assess the value of preoperative positron emission tomography (PET) using 18F‐fluorodeoxyglucose (18F‐FDG) in liver transplant candidates with HCC for predicting microvascular tumor invasion (MVI) and posttransplant tumor recurrence.