Miracle-dz/UniFAR-FTUs huggingface dataset:
Gooberman-Hill, R. (2016). Secondary prevention of fractures after hip fracture: a qualitative study of effective service delivery. Osteoporosis

Summary There is variation in how services to prevent secondary fractures after hip fracture are delivered and no consensus on best models of care. This study identifies healthcare professionals’ views on effective care for the prevention of these fractures. It is hoped this will provide information on how to develop services. Introduction Hip fracture patients are at high risk of subsequent osteoporotic fractures. Whilst fracture prevention services are recommended, there is variation in delivery and no consensus on best models of care. This study aims to identify healthcare professionals’ views on effective care for prevention of secondary fracture after hip fracture. Methods Forty-three semi-structured interviews were undertaken with healthcare professionals involved in delivering fracture prevention across 11 hospitals in one English region. Interviews explored views on four components of care: (1) case finding, (2) osteoporosis assessment, (3) treatment initiation, and (4) monitoring and coordination. Interviews were audio-recorded, transcribed, anonymised and coded using NVivo software. Results Case finding: a number of approaches were discussed. Multiple methods ensured there was a ‘backstop’ if patients were overlooked. Osteoporosis assessment: there was no consensus on who should conduct this. The location of the dual energy X-ray absorptiometry (DXA) scanner influenced the likelihood of patients receiving a scan. Treatment initiation: it was felt this was best done in inpatients rather request initiation in the post-discharge/outpatients period. Monitoring (adherence): adherence was a major concern, and participants felt more monitoring could be conducted by secondary care. Coordination of care: participants advocated using dedicated coordinators and formal and informal methods of communication. A gap between primary and secondary care was identified and strategies suggested for addressing this. Conclusions A number of ways of organising effective fracture prevention services after hip fracture were identified. It is hoped that this will help professionals identify gaps in care and provide information on how to develop services.
A Recommender System based on Collaborative Filtering using Polarity Improvement in Sentiment Analysis

: Sentiment Analysis, which is a new subfield of the processing of natural language and text mining, categorizes the texts based on the sentiment expressed in them. Sentiment plays a significant role in decision-making. So sentiment analysis technology has a broad scope for scientific applications. On the other hand, a huge amount of information in the world today is in the form of text. Therefore, text mining techniques are important. Exploring comments or analyzing sentiment as a branch of text mining, means finding the author's perspective on a specific subject. The Internet allows users to easily express their opinions and get informed about the opinions of others. The high volume and the lack of proper structure for the text of the comments provided on the web, make it difficult to use hidden knowledge within them. Therefore, it is important to provide methods that can prepare and provide this knowledge in a summarized and structured way. In this research, it has been tried to provide a fuzzy method for analyzing the following comments on news sites according to the text of the report. In this regard, it has been tried to investigate the relationship with the author's commentary and opinion in light of the subject of the text using the grammatical features of texts such as noun and verb, as well as sentimental load analysis of sentences. Subsequently, the method is evaluated by implementing it on the dataset collected from news and comments. The proposed method has 87% diagnosis accuracy.
Effect of apoC-III gene polymorphisms on the lipoprotein-lipid proﬁle of viscerally obese men

Abdominal visceral adipose tissue (AT) accumulation is associated with an atherogenic metabolic proﬁle that includes increased plasma triglyceride (TG), low HDL cholesterol levels, and an insulin-resistant hyperinsulinemic state. Whereas the apolipoprotein (apo) C-III C3238G gene variant, often referred to as the Sst I polymorphism, has been related to variations in plasma TG concentrations, an-other variation within the insulin responsive element (C-482T) of the apoC-III gene has been associated with greater glucose and insulin responses to an oral glucose tolerance test (OGTT); however, these results were obtained in nonobese individuals. We therefore investigated the effects of three apoC-III gene polymorphisms, namely Sst I, C-482T, and T-455C, on fasting plasma lipoprotein-lipid Effect of apoC-III gene polymorphisms on the lipoprotein-lipid proﬁle of men.
Service provider boundaries in competitive markets: the case of the logistics industry

This study empirically investigates service provider firms’ attempts to move to higher value-added market segments in competitive and fragmented markets, using logistics services as a context. Novelty is added by taking the provider not the customer or outsourcing actor perspective, common to current third-party logistics perspectives. Data were collected in the form of semi-structured interviews with management at various provider firms. The interview guide was based on theoretical constructs regarding tangible and intangible capabilities (RBV) as well as constructs related to governance and integration (TCE). Unlike customer focused studies, this study is able to identify what distinguishes the rare successful boundary crossing attempts that lead to a more profitable market position. The key finding which contradicts studies based on the customer/outsourcing actor perspective is that a switch from a highly commoditised market position to a higher margin position is only possible, if relationships and network capabilities are leveraged, regardless of the assets and physical resources available to the firm. The presentation of service boundaries as both dynamic and fluid and the use of RBV are contributions, building on existing theory, illustrating why providers of commoditised services cannot escape from low-margin, competitive market positions simply by acquiring tangible assets.
Identification of closely related Listeria monocytogenes isolates with no apparent evidence for a common source or location: a retrospective WGS analysis.

Public health and regulatory agencies worldwide sequence all Listeria monocytogenes (Lm) isolates obtained as part of routine surveillance and outbreak investigations. Many of these entities submit the sequences to the NCBI Pathogen Detection (NCBI PD) database, which groups the Lm isolates into SNP clusters based on a pairwise SNP difference threshold of 50 SNPs. Our goal was to assess if isolates with metadata suggesting different sources or locations could show evidence for close genetic relatedness indicating a recent common ancestor and a possible unknown common source. We compared the WGS data of 249 Lm isolates sequenced here, which have detailed metadata, to WGS data of non-clinical isolates on NCBI PD. The 249 Lm isolates originated from natural environments (n = 91) as well as smoked fish (n = 62), dairy (n = 56), and deli-meat (n = 40) operations in the US. Using a combination of subtyping by cgMLST and hqSNP, we observed 5 SNP clusters where study isolates and SNP cluster isolates seemed to be closely related and either (i) share the same geolocation, but show different source types (1 SNP cluster); (ii) share the same source type, but show different geolocations (2 SNP clusters); or (iii) shared neither source type nor geolocation (2 SNP clusters). For one of the two clusters under (iii), there however was no strong bootstrap support for a common ancestor shared between the study isolates and SNP cluster isolates, indicating the value of in-depth evolutionary analyses when WGS data are used for traceback and epidemiological investigations. Overall, our results demonstrate that some Lm subtypes may be associated with specific locations or commodities; these associations can help in investigations involving multi-ingredient foods such as sandwiches. However, at least some Lm subtypes can be widespread geographically and be associated with different sources, which may present a challenge to traceback investigations involving these subtypes.
Edinburgh Research Explorer Income contingent university loans

In Europe, the need for additional funding coming from either budget cuts and/or increased costs due to increased competition in university quality has reopened the debate on the ﬁnancing of university systems. An attractive alternative to the current general-tax-ﬁnanced subsidies are Income Contingent Loans (ICL), a ﬂexible scheme that puts more weight on private resources while enhancing progressivity. One challenge of the viability of ICL systems is the functioning of the labor market for university graduates. This paper oﬀers a general analysis of the economics of ICL, followed by an application to Spain. We set up a loan laboratory in which we can explore the distributional eﬀects of diﬀerent loan systems to ﬁnance tertiary education at current costs as well as to increase university funding to improve in its quality. We use simulated lifetime earnings of graduates matching the dynamics of employment and earnings in the Spanish administrative social security data to calculate the burden of introducing ICL for individuals at diﬀerent points of the earnings distribution and for the government. We ﬁnd that (1) our proposed structure is highly progressive under all speciﬁcations, with the top quarter of the distribution paying close to the full amount of the tuition and the bottom 10% paying almost no tuition; and (2) the share of total university education subsidized by the government is between 16 and 56 percentage points less than under the current system.
Contributions from cognitive engineering to requirements specifications for complex sociotechnical systems: A case study in the context of healthcare in Brazil

This paper aims at presenting a case study on the use of human factors and ergonomics to enhance requirement specifications for complex sociotechnical system support tools through enhancing the understanding of human performance within the business domain and the indication of high‐value requirements candidates to information technology support. This work uses methods based on cognitive engineering to build representations of the business domain, highlighting workers’ needs, and contributing to the improvement of software requirements specifications, used in the healthcare domain. As the human factors discipline fits between human sciences and technology design, we believe that its concepts can be combined with software engineering to improve understanding of how people work, enabling the design of better information technology.
Influence of rear wheel tire type on wheelchair propulsion biomechanics

INFLUENCE OF REAR WHEEL TIRE TYPE ON WHEELCHAIR PROPULSION BIOMECHANICS by Mathew Yarossi The objective of this study was to determine how rear wheel tire type affects wheelchair propulsion mechanics. Four persons with paraplegia and four persons with tetraplegia propelled their own wheelchairs on a roller system at self-selected speed using five different pairs of tires. Upper limb and trunk kinematics, perceived exertion, stroke pattern and the temporal characteristics of propulsion were measured. When using pneumatic (air filled) tires, with lower rolling resistance, participants had lower push frequency (p < .05), higher self selected speed (p < .05), less perceived exertion, less shoulder internal rotation, and a longer push stroke than when using solid, high rolling resistance tires. As rolling resistance increased, participants experienced negative changes in propulsion characteristic that contradicted current clinical practice guidelines for upper limb preservation following spinal cord injury. In addition, kinematics with solid, high rolling resistance tires were similar to those described during uphill or over carpet propulsion. In order to avoid unnecessary strain on the upper limbs and unwanted changes in propulsion biomechanics, wheelchair users, clinicians, and researchers should consider the use of lower rolling resistance, pneumatic rear tires.
NDT_A_305117 1505..1516

1Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, People’s Republic of China; 2The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, 610054, People’s Republic of China; 3CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, 200031, People’s Republic of China; 4Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, 200030, People’s Republic of China
Classifier Module of Types of Movements Based on Signal Processing and Deep Learning Techniques

Human Activity Recognition (HAR) has been widely addressed by deep learning techniques. However, most prior research applied a general unique approach (signal processing and deep learning) to deal with different human activities including postures and gestures. These types of activity typically have highly diverse motion characteristics, which could be captured with wearable sensors placed on the user’s body. Repetitive movements such as running or cycling have repetitive patterns over time and generate harmonics in the frequency domain, while postures such as sitting or lying are characterized by a fixed position, with some positional changes and gestures or non-repetitive movements being based on an isolated movement usually performed by a limb. This work proposes a classifier module to perform an initial classification among these different types of movements, which would allow for applying afterwards the most appropriate approach in terms of signal processing and deep learning techniques for each type of movement. This classifier has been evaluated using the PAMAP2 and OPPORTUNITY datasets using a subject-wise cross-validation methodology. These datasets contain recordings from inertial sensors on hands, arms, chest, hip, and ankles, collected in a non-intrusive way. In the case of PAMAP2, the baseline approach for classifying the 12 activities using 5-s windows in the frequency domain obtained an accuracy of 85.26 ± 0.25%. However, an initial classifier module could distinguish between repetitive movements and postures using 5-s windows reaching higher performances. Afterward, specific window size, signal format, and deep learning architecture were used for each type of movement module, obtaining a final accuracy of 90.09 ± 0.35% (an absolute improvement of 4.83%).
Supplemental Appendices A Simulation Study A . 1 Likelihood Estimation A . 1 . 1 Dynamic Common Factor Model with Markov Switching Parameters

The first specification is a DCF model with Markov switching parameters. This model specification is widely used to empirically characterize business cycles by a dynamic factor βt among multiple observed variables yt. The dynamic factor is subject to regime shifts modeled by a Markov process st. At time t, (st, βt, yt) are sequentially, not simultaneously, generated from the following generic dynamic linear model with regimeswitching parameters:
THE GAMMA-RAY BURST HUBBLE DIAGRAM AND ITS IMPLICATIONS FOR COSMOLOGY

In this paper, we continue to build support for the proposal to use gamma-ray bursts (GRBs) as standard candles in constructing the Hubble diagram at redshifts beyond the current reach of Type Ia supernova observations. We confirm that correlations among certain spectral and light-curve features can indeed be used as luminosity indicators, and demonstrate from the most up-to-date GRB sample appropriate for this work that the ΛCDM model optimized with these data is characterized by parameter values consistent with those in the concordance model. Specifically, we find that , which are consistent, to within 1σ, with (0.29, 0.71) obtained from the 9 yr Wilkinson Microwave Anisotropy Probe data. We also carry out a comparative analysis between ΛCDM and the Rh = ct universe and find that the optimal ΛCDM model fits the GRB Hubble diagram with a reduced , whereas the fit using Rh = ct results in a . In both cases, about 20% of the events lie at least 2σ away from the best-fit curves, suggesting that either some contamination by non-standard GRB luminosities is unavoidable or that the errors and intrinsic scatter associated with the data are being underestimated. With these optimized fits, we use three statistical tools—the Akaike information criterion, the Kullback information criterion, and the Bayes information criterion—to show that, based on the GRB Hubble diagram, the likelihood of Rh = ct being closer to the correct model is ∼85%–96%, compared to ∼4%–15% for ΛCDM.
Stock Market Prediction and Portfolio Management using ML techniques

—Predicting stock market prices is one of the most complex task that traditionally involves extensive human-computer interaction. Due to the correlated nature of stock prices, conventional batch processing methods cannot be utilized efﬁciently for stock market analysis. We propose an online learning algorithm that utilizes a kind of recurrent neural network (RNN) called Long Short Term Memory (LSTM), where the weights are adjusted for individual data points using stochastic gradient descent. This will provide more accurate results when compared to existing stock price prediction algorithms. The network is trained and evaluated for accuracy with various sizes of data, and the results are tabulated. A comparison with respect to accuracy is then performed against an Artiﬁcial Neural Network.
High Performance Technology in Algorithmic Cryptography

Additional information is available at the end of the chapter Abstract Alan Turing’s article, “Computation and intelligence”, gives the preamble of the characteristics of guessing if it is a machine or another human being. Currently, the use of ubiquitous technologies, such as the use of firmware, allows direct access to analog data, however, we must find a way to secure the information. Analyzing cryptographic algo - rithms for the transfer of multimedia information. Raise the use of cryptarithmetic. Finite automata will be developed that will govern the logic of the cryptographic algorithms to be integrated into Firmware, performance tests and controls will be carried out to deter - mine the best strategies for their performance and algorithmic complexity. Technologies are expressed that allow the creation of learning environments, such as neural networks, that support other processes as the recognition of patterns on images.
Clinical course and recommendations for patients after anterior cruciate ligament injury and subsequent reconstruction: a narrative review

 Almost all athletes who have suffered an anterior cruciate ligament (ACL) injury expect a full return to sports at the same pre-injury level after ACL reconstruction (ACLR). Detailed patient information on the reasonable outcomes of the surgery may be essential to improve patient satisfaction.  Pre-operative rehabilitation before ACLR should be considered as an addition to the standard of care to maximise functional outcomes after ACLR.  We propose an optimised criterion-based rehabilitation programme within a biopsychosocial framework.  No benchmark exists for evaluating return-to-sport (RTS) readiness after ACLR. Therefore, the authors propose a multi-factorial RTS test battery. A combination of both physical and psychological elements should be included in the RTS test battery.  There is need for shared decision-making regarding RTS.
Heat Exchange and Flow Characteristics of a cooled EGR Module Evaluated in Automotive Operating Conditions

—Compression ignition engines are an essential part of automotive transportation and even marginal improvements can bring significant benefits in terms of costs and environmental impact. Exhaust gas recirculation (EGR) is used on an extensive scale for these power units, and monitoring their performance continuously would ensure improved procedures for ensuring longer lifetime and better efficiency. Within this context, the current work evaluated the heat transfer performance of a cooled EGR module in view of developing a dedicated sensor. This device should provide enough information on heat exchange and flow performance of the recirculation unit, while being able to integrate the acquired information within the vehicle communication network. Apart from the minimal requirement of identifying failures, the new component goes beyond current virtual-sensor based approaches and will ensure better efficiency of EGR valves and more precise maintenance intervals.
Skeletal muscle AMPK is not activated during 2 h of moderate intensity exercise at (cid:2) 65% ˙ V O 2 peak in endurance trained men

It important that more energy is directed towards examining other potential regulators of Abstract AMP-activated protein kinase (AMPK) is considered a major regulator of skeletal muscle and seven endurance trained (ET; ˙ V O 2 peak = 61.8 ± 2.2 ml.kg − 1 min − 1 ) males completed 120 min of cycling exercise at 66 ± 4% ˙ V O 2 peak (UT: 100 ± 21 W; ET: 190 ± 15 W). Muscle biopsies were obtained at rest and following 30 and 120 min of exercise. Muscle glycogen was signiﬁcantly ( P < 0.05) higher before exercise in ET and decreased similarly during exercise in the ET and UT individuals. Exercise signiﬁcantly increased calculated skeletal muscle free AMP content and more so in the UT individuals. Exercise signiﬁcantly ( P < 0.05) increased skeletal muscle AMPK α 2 activity (4-fold), AMPK α Thr 172 phosphorylation (2-fold) and ACC β Ser 222 phosphorylation (2-fold) in the UT individuals but not in the ET individuals. These ﬁndings indicate that AMPK is not an important regulator of exercise metabolism during 120 min of exercise at 65% ˙ V O 2 peak in endurance trained men.
Isoform expression of Na (cid:49) -K (cid:49) -ATPase (cid:97) -subunit in gills of the teleost Oreochromis mossambicus

Isoform expression of Na (cid:49) -K (cid:49) -ATPase (cid:97) -subunit in gills of the teleost Oreochromis mossambicus . Am. J. Physiol. 275 ( Regulatory Integrative Comp. Physiol. 44): R926–R932, 1998. —Three isoform-speciﬁc antibodies, 6F against the (cid:97) 1 -isoform of the avian sodium pump, HERED against the rat (cid:97) 2 -isoform, and Ax2 against the rat (cid:97) 3 -isoform, were used to detect the expression of Na (cid:49) -K (cid:49) -ATPase (cid:97) -subunits in gills of a teleost, the tilapia ( Oreochromis mossambicus ). Tilapia gill tissue showed positive reactions to antibodies speciﬁc for (cid:97) 1 - and (cid:97) 3 -isoforms. The results of immunoblots were converted to numerical values (relative intensities) by image analysis for compari-sons. Relative amounts of (cid:97) 1 -like isoform alone and conse-quently the ratio of (cid:97) 1 -like to (cid:97) 3 -like isoforms were higher in gills of seawater-adapted tilapia than in those of freshwater-adapted ones, indicating that the two isoforms respond differently to environmental salinities. In the subsequent immunocytochemical experiments, gill mitochondria-rich cells were demonstrated to immunoreact with antibodies speciﬁc for (cid:97) 1 - and (cid:97) 3 -isoforms. (cid:97) 1 -like and (cid:97) 3 -like isoforms of gill Na (cid:49) -K (cid:49) -ATPase are suggested to be involved in the ion- and osmoregulation mechanisms in tilapia. Moreover, differential expressions of two isoforms may be associated with different functions, secretion and uptake of ions and acid-base regulation, in gills of seawater- and freshwater-adapted tilapia.