Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular imaging of proteolytic activity in cancer

The early detection of both primary tumors and metastatic disease continue to be significant challenges in the diagnosis and staging of cancer. The growing recognition of the role of proteinases and proteolytic cascades in both the growth and metastasis of tumors has led to the development not only of therapeutic strategies using proteinase inhibitors, but also of methods to detect and image tumors in vivo via tumor‐associated proteolytic activities. These imaging strategies derive from the enhanced sensitivity afforded by amplification that can be obtained by enzymatic processing to increase the efficacy of imaging “contrast agents” coupled with the inherent substrate specificity and selectivity of proteinases. This review describes key proteinases important in cancer progression, the strategies that have been devised to detect and image proteolytic activity in vivo, and the potential for this kind of functional imaging to serve as a marker for targeted therapy. The intent is to draw attention to the developing methods of molecular imaging to facilitate not only cancer diagnosis, but also for devising strategies for individualized targeted therapy and non‐invasive monitoring of therapeutic efficacy. © 2003 Wiley‐Liss, Inc.
Number : WUCSE-2010-27 2010 Optimal Time Utility Based Scheduling Policy Design for Cyber-Physical Systems

Classical scheduling abstractions such as deadlines and priorities do not readily capture the complex timing semantics found in many real-time cyber-physical systems. Time utility functions provide a necessarily richer description of timing semantics, but designing utility-aware scheduling policies using them is an open research problem. In particular, optimal utility accrual scheduling design is needed for real-time cyber-physical domains. In this paper we design optimal utility accrual scheduling policies for cyber-physical systems with periodic, non-preemptable tasks that run with stochastic duration. These policies are derived by solving a Markov Decision Process formulation of the scheduling problem. We use this formulation to demonstrate that our technique improves on existing heuristic utility accrual scheduling policies. Type of Report: Other Department of Computer Science & Engineering Washington University in St. Louis Campus Box 1045 St. Louis, MO 63130 ph: (314) 935-6160 Optimal Time Utility Based Scheduling Policy Design for Cyber-Physical Systems Terry Tidwell, Robert Glaubius, Christopher D. Gill and William D. Smart Department of Computer Science and Engineering Washington University in St. Louis Email: {ttidwell,rlg1,cdgill,wds}@cse.wustl. edu Abstract—Classical scheduling abstractions such as deadlines and priorities do not readily capture the complex timing semantics found in many real-time cyber-physical systems. Time utility functions provide a necessarily richer description of timing semantics, but designing utility-aware scheduling policies using them is an open research problem. In particular, optimal utility accrual scheduling design is needed for real-time cyber-physical domains. In this paper we design optimal utility accrual scheduling policies for cyber-physical systems with periodic, non-preemptable tasks that run with stochastic duration. These policies are derived by solving a Markov Decision Process formulation of the scheduling problem. We use this formulation to demonstrate that our technique improves on existing heuristic utility accrual scheduling policies.Classical scheduling abstractions such as deadlines and priorities do not readily capture the complex timing semantics found in many real-time cyber-physical systems. Time utility functions provide a necessarily richer description of timing semantics, but designing utility-aware scheduling policies using them is an open research problem. In particular, optimal utility accrual scheduling design is needed for real-time cyber-physical domains. In this paper we design optimal utility accrual scheduling policies for cyber-physical systems with periodic, non-preemptable tasks that run with stochastic duration. These policies are derived by solving a Markov Decision Process formulation of the scheduling problem. We use this formulation to demonstrate that our technique improves on existing heuristic utility accrual scheduling policies.
Secure Routing Protocol in Wireless Ad Hoc Networks via Deep Learning

Open wireless channels make a wireless ad hoc network vulnerable to various security attacks, so it is crucial to design a routing protocol that can defend against the attacks of malicious nodes. In this paper, we first measure the trust value calculated by the node behavior in a period to judge whether the node is trusted, and then combine other QoS requirements as the routing metrics to design a secure routing approach. Moreover, we propose a deep learning-based model to learn the routing environment repeatedly from the data sets of packet flow and corresponding optimal paths. Then, when a new packet flow is input, the model can output a link set that satisfies the node’s QoS and trust requirements directly, and therefore the optimal path of the packet flow can be obtained. The extensive simulation results show that compared with the traditional optimization-based method, our proposed deep learning-based approach cannot only guarantee more than 90% accuracy, but also significantly improves the computation time.
Seismocardiography: Past, present and future

This paper presents an overview of seismocardiography (SCG) as a noninvasive cardiology method. The paper represents a brief historical background to the SCG, an assessment of the technology at present, and an evaluation of the challenges we must address. These challenges include the development and clarification of definitions, standards, and annotations.
Structure determination of helical filaments by solid-state NMR spectroscopy

Significance The mitochondrial antiviral signaling protein (MAVS) belongs to the emerging class of higher-order signaling machines that adopt a filamentous state on activation and propagate in a prion-like manner. Structures of helical filaments are challenging due to their size and variable symmetry parameters, which are notoriously difficult to obtain, but are a prerequisite for structure determination by electron microscopy and by solid-state NMR. Here we describe a strategy for their efficient de novo determination by a grid-search approach based exclusively on solid-state NMR data. In combination with classical NMR structure calculation, we could determine the atomic resolution structure of fully functional filaments formed by the globular caspase activation and recruitment domain of MAVS. A careful validation highlights the general applicability of this approach. The controlled formation of filamentous protein complexes plays a crucial role in many biological systems and represents an emerging paradigm in signal transduction. The mitochondrial antiviral signaling protein (MAVS) is a central signal transduction hub in innate immunity that is activated by a receptor-induced conversion into helical superstructures (filaments) assembled from its globular caspase activation and recruitment domain. Solid-state NMR (ssNMR) spectroscopy has become one of the most powerful techniques for atomic resolution structures of protein fibrils. However, for helical filaments, the determination of the correct symmetry parameters has remained a significant hurdle for any structural technique and could thus far not be precisely derived from ssNMR data. Here, we solved the atomic resolution structure of helical MAVSCARD filaments exclusively from ssNMR data. We present a generally applicable approach that systematically explores the helical symmetry space by efficient modeling of the helical structure restrained by interprotomer ssNMR distance restraints. Together with classical automated NMR structure calculation, this allowed us to faithfully determine the symmetry that defines the entire assembly. To validate our structure, we probed the protomer arrangement by solvent paramagnetic resonance enhancement, analysis of chemical shift differences relative to the solution NMR structure of the monomer, and mutagenesis. We provide detailed information on the atomic contacts that determine filament stability and describe mechanistic details on the formation of signaling-competent MAVS filaments from inactive monomers.
Parameter selection in particle swarm optimisation: a survey

Nowadays, particle swarm optimisation (PSO) is one of the most commonly used optimisation techniques. However, PSO parameters significantly affect its computational behaviour. That is, while it exposes desirable computational behaviour with some settings, it does not behave so by some other settings, so the way for setting them is of high importance. This paper explains and discusses thoroughly about various existent strategies for setting PSO parameters, provides some hints for its parameter setting and presents some proposals for future research on this area. There exists no other paper in literature that discusses the setting process for all PSO parameters. Using the guidelines of this paper can be strongly useful for researchers in optimisation-related fields.
Letter to the Editor: About lost data in cohort studies

Clemmensen et al. (2016) address a very important and interesting topic on how hyper-theory-of-mind (HToM) correlates with psychotic experiences. Their findings correlate with previous research (Clemmensen et al. 2014). This research provides new information upon HToM, is a prospective design, has a large sample, and the instruments are validated. The Copenhagen County Child Cohort 2000 includes 6090 children which is a representative sample of the children born in Denmark that year (Olsen et al. 2007). One important limitation of the present research is the high loss to follow-up (LFU). Only 1630 subjects were included on the analysis out of 2354 that completed the Development and Well-being Assessment. LFU is a type of selection bias; authors have found that when LFU is large, an impact on results is observed (Kristman et al. 2004). The latter is especially important when characteristics of subjects not included in the study differ from the final sample. Jeppesen et al. (2015) showed that there are significant differences among the two groups on the variables ‘education of mother’, ‘maternal age’ and other variables (p < 0.05). Moreover, in the study by Clemmensen et al. (2016), the χ test was used for the bivariate analysis of categorical variables and the association between ‘infancy contact problems’ and HToM does not meet the assumptions for the uncorrected χ test; the Fisher exact test is a better option in this case (Rosner, 2015). On the other hand, showing unadjusted (as well as adjusted) odds ratios in Table 4 would help a better understanding of the association between the exposure and the outcome.
Coded Caching Under Non-Uniform Content Popularity Distributions with Multiple Requests

Content caching is a technique aimed to reduce the network load imposed by data transmission during peak time while ensuring users’ quality of experience. Studies have shown that content delivery via coded caching can significantly improve beyond the performance limits of conventional caching schemes when caches and the server share a common link. Finding the optimal cache content placement however, becomes challenging under arbitrary distributions of content popularity. While existing works show that partitioning contents into three popularity levels performs better when multiple requests are received at each time slot, they neither delve into the problem analysis nor derive closed-form expressions for the optimum partitioning problem. In this paper, we analyze the coded caching scheme for a system with arbitrary content popularity, where we derive explicit closed-forms for the server load in the delivery phase and formulate the near-optimum partitioning problem. Simulation results are presented to corroborate our mathematical analysis.
Therapeutic Alliance in Mental Health Nursing: An Evolutionary Concept Analysis

The concept of therapeutic alliance is relevant in contemporary mental health care, as the consumer-led recovery movement promotes the development of collaborative relationships, and is focussed on the consumer's individual concept of wellbeing. An evolutionary concept analysis was undertaken to establish a contemporary interpretation of therapeutic alliance for mental health nursing. The CINAHL, Scopus and PsycINFO databases were searched for articles (n = 322), with 52 deemed appropriate for analysis. Therapeutic alliance is characterised by mutual partnerships between nurses and consumers, and is dependent on a humanistic healthcare culture. Therapeutic alliance is associated with enhanced consumer outcomes and experiences with care.
Organizational and Technological Correlates of Nurses’ Trust in a Smart Intravenous Pump

The aim of this study was to understand technology and system characteristics that contribute to nurses’ ratings of trust in a smart intravenous pump. Nurses’ trust in new technologies can influence how technologies are used. Trust in technology is defined as a person’s belief that a technology will not fail them. Potential outcomes of trust in technology are appropriate trust, overtrust, distrust, and mistrust. Trust in technology is also related to several use-specific outcomes, including appropriate use and inappropriate use such as overreliance, disuse or rejection, or misuse. Understanding trust in relation to outcomes can contribute to designs that facilitate appropriate trust in new technologies. A survey was completed by 391 nurses a year after the implementation of a new smart intravenous pump. The survey assessed trust in the intravenous pump and other elements of the sociotechnical system, individual characteristics, technology characteristics, and organizational characteristics. Results show that perceptions of usefulness, safety, ease of use, and usability are related to ratings of trust in smart intravenous pumps. Other work systemfactors such as perception of work environment, age, experience, quality of work, and perception of work performance are also related to ratings of trust. Nurses’ trust in smart intravenous pumps is influenced by both characteristics of the technology and the sociotechnical system. Findings from this research have implications for the design of future smart intravenous pumps and health systems. Recommendations for appropriately trustworthy smart intravenous pumps are discussed. Findings also have implications for how trust in health technologies can be measured and conceptualized in complex sociotechnical systems.
Social Capital for Strategic Sensitivity in Global Business

The purpose of this case study is to increase our understanding of building strategic sensitivity and the ways by which internal social relationships contribute to it. Applying insights from social capital and social networks theories, the case explores the role of social relations in implementing a strategic initiative. The case study was conducted in close collaboration with the case firm to ensure the applicability of the research findings in an empirical setting. Strategic sensitivity is embedded in social interaction. Exploring both the structural and relational dimensions of social capital allows for understanding the role of social relationships in constraining and enhancing strategic sensitivity. The structural dimension gives information on the efficiency and vulnerability of the social relations, while, the relational dimension shows the motivation for interacting and sharing information and knowledge. Identification of the company as a social entity with humane values manifested in communication is important to the members of the globally operating organization. The case provides empirical evidence on the functioning of social capital and gives an insight to the importance of understanding social connections between the members of the organization.
Evaluation of Selected Biochemical Indices in Clarias gariepinus Exposed to Aqueous Extract of Nigerian Crude Oil (Bonny Light)

In this study, selected biochemical parameters including the activities of lipid peroxidation in fish exposed to varied percentages of aqueous extract (AE) of Nigerian Crude Oil (Bonny light) were assessed. The total Hydrocarbon and Polycyclic Aromatic Hydrocarbon contents of the AE were 124.1mg/l and 16.9mg/l respectively. Results of the levels of glucose, total protein, albumin, aspartate aminotransferase and alanine aminotransferase in fish exposed to 10.0% AE were 46.2mm, 9.18g/dl, 5.13 g/dl, 62.6 IU/l and 18.3 IU/l, respectively. Also, the average concentrations of malondialdehyde obtained in Clarias gariepinus exposed to 10% AE was 5.84 nmol. In general, the concentrations of the selected biochemical indices studied were higher in test fish exposed to 10.0% AE, followed by those of the lower concentrations. These findings suggest that exposure of Clarias gariepinus to low levels of AE of Nigerian Crude Oil would result in chronic oxidation stress, cellular membrane damage and death of cell.
Evaluation of Sustainable Utilization of Regional Water Resources

Evaluation of sustainable utilization of regional water resources is one of the key problems in sustainable development stratagem, and it is the precondition to choose an appropriate method. For the existing evaluation methods, the most important is how to ascertain the weight of every index. In the case of inconsistent judgment matrix, analytic hierarchy process method does not correct the matrix, and also does not judge the degree of the sustainable utilization of regional water resources. This paper discussed the method of correcting inconsistent judgment matrix and constructed comprehensive indexes of evaluating sustainable utilization of water resources, so as to evaluate the sustainable utilization of water resources in Yunnan Province.
Same side dual SIL-radar system for real-time vital sign monitoring with random body movement cancellation

This paper presents a Doppler radar system for real-time vital sign monitoring. To reduce the random body movement effect, this system involves two self-injection-locked (SIL) radars that are mutually injection locked to each other using a branch-line coupler and a circulator array. Moreover, the two SIL radars use different gain antennas. As a result, over 85 percent of the body movement is canceled so as to render the vital sign signals liable to appear in real time.
Market access and competitiveness issues for food SMEs in Europe's lagging rural regions (LRRs)

Purpose – Assessment of food supply chains from small‐ and medium‐sized enterprises (SMEs) is of central importance to lagging rural regions (LRRs) across Europe given the significance of such enterprises to rural areas. This paper aims to examine the most important influences on the food supply chain across 12 European LRRs and then examine the impact of a number of supply chain issues on food SMEs in Ireland.Design/methodology/approach – A Delphi study, complimented by literature reviews followed by in‐depth interviews, were used to examine the current and future factors influencing the operations of food supply chains relating to food SMEs in selected LRRs in Europe.Findings – Consumers, followed by retailers, were identified as the most important influences on food supply chains across the 12 European LRRs studied. Primary producers were seen as being in a very weak position. Of the supply chain issues examined in Ireland, food safety, distribution and innovation were identified as key issues in marke.
A longitudinal study of the indicators and factors for successful six sigma deployment in the South African mining industry

The Six Sigma deployment methodology is known for its results in operational excellence associated with improved business practices. Organisations worldwide have shown significantly reduced costs and increased profits when successfully deploying Six Sigma. This paper reports a longitudinal study of a set of indicators and success factors for Six Sigma deployment, using Lonmin PLC, a mining company in South Africa, as a case. The results suggest a shift of indicators from heartfelt personal involvement in 2006 to a mechanistic performance-based culture in 2010. Practical recommendations are made regarding the nine success factor components to be included during Six Sigma deployment.
Potassium isotopic composition of Australasian tektites

Abstract— We have analyzed the potassium isotopic composition of four tektites from the Australasian strewn field, spanning a wide diversity of thermal histories, inferred from textures and volatile element contents. Our results indicate no isotopic differences between tektites and terrestrial crustal rocks, placing stringent limits of ≤2% loss of potassium during the brief duration of high temperature heating experienced by these samples. This confirms that the chemical composition of tektites is entirely a reflection of source rock composition and has not been modified by the tektiteforming process for elements less volatile than potassium. Losses of more volatile components, e.g., the halogens and water, are not precluded by the present data. Coupling a radiative cooling temperature‐time path with potassium vapor pressure data indicates that tektite melt drops are not likely to develop bulk elemental fractionation during the brief heating episodes of tektites for peak temperatures <2273 K. The extent of K isotopic fractionation is independent of droplet size but dependent on peak heating temperature. The exact peak temperature depends on the choice of vapor pressure data used for K, which need to be better constrained.
Strategic engagement: including youth in the development of the Youth Work Health and Safety Strategy for South Australia

Young workers represent 40% of Australia’s casual workforce and 92% of young workers are also students. Work and study, combined with multiple other time pressures, contributes to negative health and safety outcomes for young workers. Young workers are more likely to be precariously employed, less likely to report incidents, accidents and injuries and may have poorly developed self-advocacy skills. These features make youth a vulnerable part of the workforce. We describe research that framed an overarching Strategy for Youth Work Health and Safety for South Australia designed to lead to healthy, safe, fair and productive working lives for young workers.
Market Segmentation and Positioning in Specialized Industrial Markets

Many companies in basic industries are shifting to speciality products in an effort to boost growth and profits. But such moves require often unfamiliar marketing skills, especially in segmentation and positioning. The market literature is surprisingly devoid of practical examples of segmentation and positioning techniques applied to industrial markets. This article presents such a model and illustrates it in detail for a company diversifying into speciality chemicals. Implications for other industrial companies are discussed.