Miracle-dz/UniFAR-FTUs huggingface dataset:
Uncovering Spatio-temporal Travel Patterns Using a Tensor-based Model from Metro Smart Card Data in Shenzhen, China

Individual mobility patterns are an important factor in urban traffic planning and traffic flow forecasting. How to understand the spatio-temporal distribution of passengers deeply and accurately, so as to provide theoretical support for the planning and operation of the metro network, is an urgent issue of wide concern. In this paper, we applied NCP decomposition to uncover the characteristics of travel patterns from temporal and spatial dimensions in the metro network of Shenzhen City. Utilizing matrix factorization and correlation analysis, we extracted several stable components from the collective mobility and find that the departure and arrival mobility patterns have different characteristics in both the temporal and spatial dimension. According to the point of interest (POI) data in the Shenzhen City, the function attributes of the station are identified and then we found that the spatial distribution characteristics of different patterns are different. We explored the distribution of travel time classified according to the spatio-temporal characteristics of stable patterns. The proposed method can decompose stable travel patterns from the collective mobility and the results in this study can help us to better understand different mobility patterns in both spatial and temporal dimensions.
Mapping Gamified Servicescapes for Physical Activity

Gamified systems designed to facilitate people's efforts to monitor their daily physical activity have expanded and grown in popularity. This chapter explores the servicescapes of such systems, and attempts to build a map of their possible components in which value is being created and co-created. The chapter encourages scholars to consider value creation or co-creation processes as engagement processes, and to adopt the term ‘value-in-engagement' to describe their outcome. Secondly, based on a netnographic study on a gamified servicescape for physical activity, the chapter develops a map of the system and analyses its components. Implications and potential for future implementation of this mapping approach are presented.
The nutritional enhancement of exercise training in chronic obstructive pulmonary disease.

D e f i n i n g C O P D . 18 D i s a b i l i t y a n d H a n d i c a p in C O P D . 19 S t r u c t u r e o f T h e s i s . 20 CHAPTER TWO: PERIPHERAL MUSCLE DYSFUNCTION IN COPD. 22 E x e r c i s e P e r f o r m a n c e in C O P D . 22 H e a l t h y M u s c l e P h y s i o l o g y . 24 S k e l e t a l M u s c l e U l t r a s t r u c t u r e . 24 S k e l e t a l M u s c l e E n e r g y M e t a b o l i s m . 25 T h e R e g u l a t io n o f E n e r g y M e t a b o l is m . 29 T h e In t e g r a t io n o f G l y c o l y t ic a n d O x id a t iv e M e t a b o l i s m . 30 C h a n g e s in M u s c l e F u n c t io n in t h e E l d e r l y . 31 M u s c u l a r A d a p t a t io n s t o T r a i n i n g . 32 T h e N a t u r e o f P e r i p h e r a l M u s c l e D y s f u n c t i o n in C O P D . 3 4 S t u d ie s o f W h o l e B o d y a n d In d iv id u a l M u s c l e P e r f o r m a n c e . 34
Comparing the use of inhalation anaesthetics

540 The Pharmaceutical Journal (Vol 283) 14 November 2009 sevoflurane and desflurane are suited to short procedures and have played a central role in the increase in procedures undertaken as day cases. NHS hospitals in England spent over £14m on inhalational anaesthetics in 2006/07 (personal communication, NHS Information Centre) and so it is important that hospitals use the most cost effective choice of anaesthetic agent for the procedure. Furthermore, the introduction of payment by results (PBR), a system by which hospitals are paid a standard price for interventions and procedures, means hospitals are critically reviewing the cost base for treatment. Similarly, as commissioners of medicines management provision in secondary care, pharmaceutical advisers will be looking for assurances that medicines use is appropriate and not wasteful when compared with other providers. As part of the NHS financial management system, individual hospital costs for particular procedures or episodes of care (HRGs) are collected by the Department of Health for comparison.These costs are termed reference costs, and have been used by the NHS to performance manage and benchmark their services. Furthermore, with the advent of PBR and as hospitals move towards foundation trust status, the costs associated with procedures and treatments are being compared with the income through the national tariff. This is service line reporting since it measures the contribution to a trust’s financial position by each of its service lines. Therefore, it is important for clinicians and managers to understand the components contributing to these costs, including medicines. Detailed information on medicines use has been available within most hospitals for a number of years, and is used to help promote safe rational and cost effective prescribing through feedback to clinicians and managers. However, unlike primary care, there is no routine system of comparing hospital medicines usage, since until recently there has been no national NHS dataset of hospital prescribing information. Even if such a dataset were available, we have previously argued that robust comparison of hospital medicines use is confounded by varying size, different levels of activity and case mix between hospitals. In addition to these differences hospital pharmacy departments use different computer systems to capture cost and usage information at the point of issue to wards, departments and individual patients, which further confounds useful comparison. A dataset of hospitals medicines usage is collated by IMS Health, a commercial information company, and this dataset covers apAim To examine the use of isoflurane, sevoflurane and desflurane across hospitals in England and explore whether the data can be compared for benchmarking purposes.
Assessment of sustainable development using cluster analysis and principal component analysis

W Unii Europejskiej w 2017 r. Cele zrownowazonego rozwoju zastąpily dotychczasową Strategie zrownowazo-nego rozwoju. W tej pracy wybrane wskaźniki odnoszące sie do nowych Celow zrownowazonego rozwoju stano-wią podstawe klasyfikacji 28 krajow Wspolnoty oraz Norwegii. Wśrod tych wskaźnikow priorytetowo potrakto-wano te odnoszące sie do wymiaru spolecznego zrownowazonego rozwoju, uzupelniając dyskusje o podstawowe wskaźniki ekonomiczne, ekologiczne i instytucjonalne. Przeanalizowano okres obejmujący lata 2012-2016. Wo-bec wybranych 12 wskaźnikow zastosowano hierarchiczną analize skupien i analize glownych skladnikow. Utworzono cztery klastry w ramach kazdego roku z analizowanego okresu, określając wartości wskaźnikow dla po-szczegolnych lat, a nastepnie określenie wszystkich wartości wskaźnikow dla wszystkich monitorowanych lat umozliwilo przypisanie krajow do poszczegolnych klastrow. Określenie zmian w przypisaniu do poszczegolnych klastrow na przestrzeni lat umozliwilo ocene zrownowazoności rozwoju i określenie ściezki zrownowazonego rozwoju badanych krajow. Jeśli chodzi o glowne kraje kazdego klastra, to klaster 1 obejmuje najbardziej rozwi-niete kraje UE i dlatego jest oceniany jako klaster, ktory osiąga najlepsze wyniki. Klaster 2 uwzglednia najslabiej rozwiniete kraje i oceniony jest jako ten, ktory osiąga najgorsze wyniki. Klaster 3 obejmuje glownie gospodarki znajdujące sie w okresie przejściowym i jest oceniany jako drugi osiągający najlepsze wyniki. Klaster 4 obejmuje kraje Poludnia i jest oceniany jako drugi osiągający najgorsze wyniki. Uwzgledniając zmiany jakie zaszly w okre-sie kolejnych lat, nalezy podkreślic przesuniecie Irlandii z klastra 3 do klastra 1 w 2013 r. , co oznacza ruch w kierunku wiekszej zrownowazoności. Tak samo nalezy ocenic przejście w tym samym roku Slowacji i Wegier z klastra 2 do klastra 3.
Synthesis of 3-[P][S] Parallel Mechanism-Inspired Multimode Dexterous Hands With Parallel Finger Structure

Dexterous hands are an important end-effector of robots, but their relatively low carrying capacity, small workspace and poor task adaptability are the key factors that restrict their wide application. To overcome these shortcomings of dexterous hands, a novel Lie-group-based synthesis method that extends the 3-[P][S] parallel mechanisms (PMs) to dexterous hands is presented, and a class of three-finger dexterous hands with parallel finger structure is obtained. The multimode operation is proposed by designing a double-slider palm that provides the hands with a large workspace and high task adaptability. The operation types are presented, and the dexterous in-hand manipulations in all modes are analyzed by means of Lie group theory. In addition, the equivalent structural characteristics of pinching objects are classified to elucidate the motion types and the rotational properties of the pinched objects. The inverse kinematics of fingers is presented and is used to identify the input–output relationships. Finally, the workspaces of the fingers are determined according to the result of the inverse kinematics, and the relationships between the size and displacements of the pinched object are presented. The proposed dexterous hands overcome the problems of low carrying capability, small workspace, and weak in-hand manipulation ability that are encountered with the traditional dexterous hands, which are underactuated and are built with a series finger structure, and can be potentially applied to various application domains, such as services, industry, and rescue.
Grant-Free NOMA With Device Activity Learning Using Long Short-Term Memory

Non-orthogonal multiple access (NOMA) is a promising technique for future cellular networks. A major challenge in the uplink of grant-free NOMA is to identify all active devices as well as to decode their data. In the Internet of Things (IoT), the on-off activities of devices are predictable to various degrees. In this letter, a deep learning algorithm is employed to predict the device activities in the current slot by exploiting the history data. The prediction results are applied as input priors to a modified orthogonal matching pursuit (OMP) algorithm for joint device identification and data detection. Numerical simulation results demonstrate that the error rate is reduced to at least ten times as compared with conventional compressed sensing based algorithms at the same signal-to-noise ratio.
Changes in supramolecular structure and improvement in reactivity of dissolving pulp via enzymatic pretreatment with processive endoglucanase EG1 from Volvaria volvacea

Abstract Processive endoglucanase EG1 and its core domain, EG1(CD), were used to pretreat the commercial dissolving pulp to improve cellulose reactivity. The Fock reactivity of the pulp which was treated with EG1 and EG1 (CD) at 50 U/g enzyme loading increased from 74.3% of the control to 90.6% and 88.4%, respectively. Refining also improved the Fock reactivity of the pulp, but not as effective as EG1 or EG1(CD) treatment. Refining prior to EG1 or EG1(CD) treatment could slightly further improve the Fock reactivity, to 91.6% and 90.0%, respectively. After enzymatic treatment and (or) refining, the water retention value, differential scanning calorimetry and alkaline solubility analysis indicated that enzyme treatment, especially by EG1, significantly increased the accessibility of fibers to reaction reagents. Combined with the characteristics of soluble reducing sugar produced by EG1 treatment and the changes of degree of polymerization, it is inferred that a small fraction of cellulose crystallization regions are destroyed in the enzymatic hydrolysis process due to the processive acting ability of EG1, and some microchannels in the fiber cell wall were created, which is similar to the effect of “drilling holes”, so that the reaction reagent can reach the inside of the cell wall evenly, thus obviously improving the reactivity of the dissolved pulp.
Earning Quality and Investment Efficiency; Do Board Characteristics Matter? Evidence from Tehran Stock Exchange

This study postulates the relationships between earning quality and investment efficiency among Tehran Stock Exchange-listed companies with an emphasis on the moderating role of board characteristics including independence, the duality of executives and the financial expertise of members. The research is applied in terms of purpose and takes a correlative-descriptive approach. The statistical population is comprised of TSE listed companies from 2008 to 2018 and, the final sample consisting of 78 companies was selected using systematic (purposeful) elimination. To test the hypotheses, two regression models were estimated using Ordinary Least Squares method through Eviews software. The empirical results revealed a positive and significant relationship between the quality of earning and investment efficiency in TSE publicly-traded companies. As well as, the board members' independence and financial background can significantly exaggerate such a relationship. Based on our findings, capital market legislators, regulators, and policymakers may reinforce the governance role of the board of directors in monitoring the behavior of firms, and as a result, increase the efficiency of allocating capital among companies listed in TSE and also in macroeconomic levels. The findings can persuade corporate shareholders to pay more attention to the degree of independence and expertise of their board of directors to gain more return on their investment opportunities.
RaSEC: An Intelligent Framework for Reliable and Secure Multilevel Edge Computing in Industrial Environments

Industrial applications generate big data with redundant information that is transmitted over heterogeneous networks. The transmission of big data with redundant information not only increases the overall end-to-end delay but also increases the computational load on servers which affects the performance of industrial applications. To address these challenges, we propose an intelligent framework named Reliable and Secure multi-level Edge Computing (RaSEC), which operates in three phases. In the first phase, level-one edge devices apply a lightweight aggregation technique on the generated data. This technique not only reduces the size of the generated data but also helps in preserving the privacy of data sources. In the second phase, a multistep process is used to register level-two edge devices (LTEDs) with high-level edge devices (HLEDs). Due to the registration process, only legitimate LTEDs can forward data to the HLEDs, and as a result, the computational load on HLEDs decreases. In the third phase, the HLEDs use a convolutional neural network to detect the presence of moving objects in the data forwarded by LTEDs. If a movement is detected, the data is uploaded to the cloud servers for further analysis; otherwise, the data is discarded to minimize the use of computational resources on cloud computing platforms. The proposed framework reduces the response time by forwarding useful information to the cloud servers and can be utilized by various industrial applications. Our theoretical and experimental results confirm the resiliency of our framework with respect to security and privacy threats.
The Ottawa Emergency Department Shift Observation Tool (O‐EDShOT): A New Tool for Assessing Resident Competence in the Emergency Department

The outcome of emergency medicine (EM) training is to produce physicians who can competently run an emergency department (ED) shift. However, there are few tools with supporting validity evidence specifically designed to assess multiple key competencies across an entire shift. The investigators developed and gathered validity evidence for a novel entrustment‐based tool to assess a resident’s ability to safely run an ED shift.
Factors Affecting Industry and University Collaboration in Education in the Hospitality Industry in Vietnam: A Business Perspective

This paper studies the factors affecting university and industry collaboration in education in the hospitality industry in Ho Chi Minh City (Vietnam) from a company perspective. The authors use qualitative method and quantitative research to study the matters, specifically using scales and data collected for Cronbach alpha reliability testing, analysizing the discovery factor of EFA, CFA and verifying the regression models through AMOS software with SEM linear modeling. The study proposes four factors: (1) organization factors, (2) contextual factors, (3) process factors, and (4) cooperation perspective impacting on the benefits factors and university and industry collaboration in education. In addition, it is also found that benefits factors has a direct and positive impact on the collaboration in education. The results suggest that the process factor had the strongest positive, followed by the contextual factor. The findings revealed that the benefit factors were significantly related to collaboration in education, which affects university and industry hospitality alliances. This finding confirm that the cooperation perspective (QD) and contextual factors (HC) are critical in collaboration between university and industry. A new point of interest is also identified that the benefits of training links are quite dependent on the linking perspective from tourism businesses.
New species and records of deep-water Orbiniidae (Annelida, Polychaeta) from the Eastern Pacific continental slope, abyssal Pacific Ocean, and the South China Sea.

Eighteen species of Orbiniidae, 15 new to science, are reported from deep-sea habitats in the Pacific Ocean and the South China Sea. The collection includes specimens from continental slope and abyssal soft sediments as well as hydrothermal vent and methane seep sites. New collections of Califia calida Hartman, 1957, Naineris uncinata Hartman, 1957, and Phylo nudus (Moore, 1911) allow redescription and new distributional records of these species to be documented. Five species of Leitoscoloplos: L. , cliffordi n. sp. , L. gordaensis n sp. , L. lunulus n. sp. , L. sahlingi n. sp. , and L. williamsae n. sp. are described together with a new species of Berkeleyia, B. lelievre n. sp. , two new species of Scoloplos: S. californiensis n. sp. and S. sparsaciculus n. sp. , and a new species of Leodamas, L. bathyalis n. sp. In addition, six new species of Orbiniella are described: O. abyssalis n. sp. , O. eugeneruffi n. sp. , O. grasslei n. sp. , O. longilobata n. sp. , O. rugosa n. sp. , and O. tumida n. sp.
Histopathology of the wrist tissues and some clinical and morphological correlations in patients with consequences of scaphoid fractures

Introduction Posttraumatic osteoarthritis of the wrist (WOA) is of importance among the diseases of the proximal hand. There are few studies in which the dependence between clinical and morphological parameters in patients with posttraumatic osteoarthritis due to a non-united fracture of the scaphoid was studied. Purpose To identify the dependence between several clinical parameters on the one hand and morphological parameters of the wrist tissue condition, on the other hand, in patients with consequences of scaphoid nonunion. Materials and methods Material were 94 resected samples of the wrist tissues that included the scaphoid obtained from 55 patients in whom the WOA was associated with the consequences of scaphoid fracture nonunion. The following parameters were studied: anamnesis and symptoms, roentgenometric and morphological findings that were graded. Correlation dependence between them was also investigated. Results Pathological changes in the wrist tissues were characterized by qualitative and quantitative varieties. They were the consequences of traumatic blood supply disorders in the scaphoid and joint capsule. They manifested themselves as inflammatory, productive-reparative and dystrophic-destructive changes (DDC). Maximum values of Pearson’s association coefficient were revealed between the parameters: time since injury – scaphoid surface DDC in pseudoarthrosis zone (ra = + 0.438; p less 0.01); pain – scaphoid osteonecroses (ra = +0.320; p less 0.05); wrist contracture – hypertrophy of the villi of the wrist capsule synovial layer (ra = +0.320; p less 0.1). Conclusion Pathohistological and morphometrical studies allowed us to reveal some previously unknown differences and dependences important for understanding the pathogenesis, improvement of diagnosis and prediction of the WOA course which was a result of scaphoid fracture nonunion.
Blood Flow Restriction

Pope, ZK, Willardson, JM, and Schoenfeld, BJ. Exercise and blood flow restriction. J Strength Cond Res 27(10): 2914– 2926, 2013—A growing body of research has demonstrated the effectiveness of exercise (low-intensity resistance training, walking, cycling) combined with blood flow restriction (BFR) for increased muscular strength and hypertrophy. The BFR is achieved via the application of external pressure over the proximal portion of the upper or lower extremities. The external pressure applied is sufficient to maintain arterial inflow while occluding venous outflow of blood distal to the occlusion site. With specific reference to low-intensity resistance training, the ability to significantly increase muscle strength and hypertrophy when combined with BFR is different from the traditional paradigm, which suggests that lifting only higher intensity loads increases such characteristics. The purpose of this review was to discuss the relevant literature with regard to the type and magnitude of acute responses and chronic adaptations associated with BFR exercise protocols vs. traditional non-BFR exercise protocols. Furthermore, the mechanisms that stimulate such responses and adaptations will be discussed in the context of neural, endocrine, and metabolic pathways. Finally, recommendations will be discussed for the practitioner in the prescription of exercise with BFR.
Characterization of the complete plastome of Saposhnikovia divaricata (Turcz.) Schischk

Abstract Saposhnikovia divaricata is traditional herbal medicine with a long history in China. We reported the complete chloroplast genome of S. divaricate using the next generation sequencing. A total of 115 unique genes were annotated, consisting of 81 protein coding genes, 30 tRNA and 4 rRNA. The overall AT content was 69.2%. The molecular phylogenetic tree reveals that S. divaricate is closely related to Peucedanum in tribe Selineae.
Robust and stable region-of-interest tomographic reconstruction using a robust width prior

Region-of-interest computed tomography (ROI CT) aims at reconstructing a region within the field of view by using only ROI-focused projections. The solution of this inverse problem is challenging and methods of tomographic reconstruction that are designed to work with full projection data may perform poorly or fail when applied to this setting. In this work, we study the ROI CT problem in the presence of measurement noise and formulate the reconstruction problem by relaxing data fidelity and consistency requirements. Under the assumption of a robust width prior that provides a form of stability for data satisfying appropriate sparsity-inducing norms, we derive reconstruction performance guarantees and controllable error bounds. Based on this theoretical setting, we introduce a novel iterative reconstruction algorithm from ROI-focused projection data that is guaranteed to converge with controllable error while satisfying predetermined fidelity and consistency tolerances. Numerical tests on experimental data show that our algorithm for ROI CT is competitive with state-of-the-art methods especially when the ROI radius is small.