LLukas22/scidocs huggingface dataset:
Ionic currents and action potentials in rabbit, rat, and guinea pig ventricular myocytes

Distinct differences exist in action potentials and ionic currents between rabbit, rat, and guinea pig ventricular myocytes. Data obtained at room temperature indicate that about half of the rabbit myocytes show prominent phase 1 repolarization and transient outward current. Action potentials in guinea pig ventricular myocytes resemble those from rabbit myocytes not exhibiting phase 1 repolarization; and guinea pig myocytes do not develop transient outward current. Rat ventricular action potentials are significantly shorter than those from rabbit and guinea pig ventricular myocytes. Unlike rabbit and guinea pig myocytes, rat ventricular myocytes also exhibit a prominent phase 1 and lack a well defined plateau phase during repolarization. All rat ventricular myocytes exhibit a transient outward current which can be best fitted by a double exponential relation. There are no significant differences between the amplitude, voltage dependence and inactivation kinetics of the inward calcium currents observed in rabbit, rat and guinea pig. The steady-state current-voltage relations between −120 mV and −20 mV, which mostly represent the inward rectifier potassium current are similar in rabbit and guinea pig. The amplitude of this current is significantly less in rat ventricular myocytes. The outward currents activated upon depolarization to between −10 and +50 mV are different in the three species. Only a negligible, or absent, delayed rectifier outward current has been observed in rabbit and rat; however, a relatively large delayed rectifier current has been found in guinea pig. These large interspecies variations in outward membrane currents help explain the differences in action potential configurations observed in rabbit, rat, and guinea pig.
The prediction of novel multiple lipid-binding regions in protein translocation motor proteins: A possible general feature

Protein translocation is an important cellular process. SecA is an essential protein component in the Sec system, as it contains the molecular motor that facilitates protein translocation. In this study, a bioinformatics approach was applied in the search for possible lipid-binding helix regions in protein translocation motor proteins. Novel lipid-binding regions in Escherichia coli SecA were identified. Remarkably, multiple lipid-binding sites were also identified in other motor proteins such as BiP, which is involved in ER protein translocation. The prokaryotic signal recognition particle receptor FtsY, though not a motor protein, is in many ways related to SecA, and was therefore included in this study. The results demonstrate a possible general feature for motor proteins involved in protein translocation.
Folding Flat Crease Patterns with Thick Materials

Modeling folding surfaces with nonzero thickness is of practical interest for mechanical engineering. There are many existing approaches that account for material thickness in folding applications. We propose a new systematic and broadly applicable algorithm to transform certain flat-foldable crease patterns into new crease patterns with similar folded structure but with a facet-separated folded state. We provide conditions on input crease patterns for the algorithm to produce a thickened crease pattern avoiding local self-intersection, and provide bounds for the maximum thickness that the algorithm can produce for a given input. We demonstrate these results in parameterized numerical simulations and physical models. [DOI: 10.1115/1.4031954]
Assessing the implementability of telehealth interventions for self-management support: a realist review

BACKGROUND
There is a substantial and continually growing literature on the effectiveness and implementation of discrete telehealth interventions for health condition management. However, it is difficult to predict which technologies are likely to work and be used in practice. In this context, identifying the core mechanisms associated with successful telehealth implementation is relevant to consolidating the likely elements for ensuring a priori optimal design and deployment of telehealth interventions for supporting patients with long-term conditions (LTCs).


METHODS
We adopted a two-stage realist synthesis approach to identify the core mechanisms underpinning telehealth interventions. In the second stage of the review, we tested inductively and refined our understanding of the mechanisms. We reviewed qualitative papers focused on COPD, heart failure, diabetes, and behaviours and complications associated with these conditions. The review included 15 papers published 2009 to 2014.


RESULTS
Three concepts were identified, which suggested how telehealth worked to engage and support health-related work. Whether or not and how a telehealth intervention enables or limits the possibility for relationships with professionals and/or peers. Telehealth has the potential to reshape and extend existing relationships, acting as a partial substitute for the role of health professionals. The second concept is fit: successful telehealth interventions are those that can be well integrated into everyday life and health care routines and the need to be easy to use, compatible with patients' existing environment, skills, and capacity, and that do not significantly disrupt patients' lives and routines. The third concept is visibility: visualisation of symptoms and feedback has the capacity to improve knowledge, motivation, and a sense of empowerment; engage network members; and reinforce positive behaviour change, prompts for action and surveillance.


CONCLUSIONS
Upfront consideration should be given to the mechanisms that are most likely to ensure the successful development and implementation of telehealth interventions. These include considerations about whether and how the telehealth intervention enables or limits the possibility for relationships with professionals and peers, how it fits with existing environment and capacities to self-manage, and visibility-enabling-enhanced awareness to self and others.
Improvement of nebulised antibiotic delivery in cystic fibrosis.

AIM
To investigate deposition patterns and to assess the delivery rate of two nebuliser systems in children with cystic fibrosis (CF).


METHODS
Thirty three children with CF on regular treatment with nebulised antibiotics had radioisotope scans performed using technetium-99m labelled aerosol antibiotic generated by a Ventstream nebuliser (median mass diameter (MMD), 3.3 microm; delivery rate, 0. 075 ml/min) under conditions similar to their routine home practice. The inhomogeneity of the images was scored on a 1-10 rating scale (a low score indicating even distribution of the antibiotic), and stomach deposition was measured as a percentage of overall deposition. Twenty patients had a repeat scan using an Optimist nebuliser (MMD, 1.8 microm; delivery rate, 0.02 ml/min).


RESULTS
The mean inhomogeneity scores were 5.4 in the Ventstream group and 3. 5 in the Optimist group. Mean stomach deposition was 17.3% in the 33 patients using the Ventstream nebuliser. There was an inverse relation between height and stomach deposition (r = 0.69). In the 20 patients who had both nebulisers, the mean percentages of stomach deposition for the Ventstream and Optimist nebulisers were 11.8% and 1.6%, respectively. The Ventstream nebuliser delivered antibiotic at an average 2.8 times faster rate than the Optimist nebuliser.


IMPLICATIONS
A smaller particle size results in a more homogenous distribution of the antibiotic in the lungs with decreased stomach deposition. This should not be seen as a recommendation to use the Optimist nebuliser because more antibiotic was delivered to most parts of the lung with the Ventstream because of its increased delivery rate.
Aging studies of Cu-Sn intermetallic compounds in annealed surface mount solder joints

This is the second in a series of investigations aimed at studying the effect of Cu-Sn intermetallic compound on the reliability of surface mount solder joints. Our previous investigation['] revealed the formation kinetics and characteristics of Cu-Sn intermetallic compounds in LCCC surface mount solder joints during IR-reflow soldering. The present study focuses on the solid state growth of the interfacial Cu-Sn intermetallic compound in LCCC surface mount solder joints under prolonged annealing at elevated temperature. A thick Cu-Sn IMC layer at the Sn-Pb solder/Cu interface of a surface mount solder joint (which can be achieved by prolonged storage at high temperature or after long term operation of modern SMT electronic assemblies) makes the interface more sensitive to stress and may eventually lead to fatigue failure of all SMT solder joint. The microstructural morphology of the Cu-Sn IMC layer at the solder/Cu pad interface in all annealed LCCC surface mount solder joints is duplex and consists of q-phase Cu6Sn5 and Ephase Cu3Sn IMC. Both Cu-Sn IMC phases thicken as the aging time increases. On the other hand, at the interface close to the component metallization, the growth of both the qand &-phase were showed to be suppressed, with more a pronounced effect on &-phase, by Ni originating from the metallization. The mean total layer thickness was found to increase linearly with the square root of aging time and the growth was faster for higher annealing temperature. The activation energy for the growth of interfacial Cu-Sn IMC layers and the pre-exponential factor, Do , for diffusion were calculated to be 1.09eV and 1.68 x m2/s respectively for the 0805 LCCC surface mount solder joint using eutectic SnPb solder. These values are useful in predicting the thickness of interfacial Cu-Sn IMC layers in real surface mount solder joints in electronic assemblies after prolonged operation and hence the reliability factor of the solder joint attributed to the interfacial Cu-Sn IMC layer. Finally, the pad size and quantity of Sn-Pb solder employed in LCCC surface mount solder joints were shown to have an insignificant effect on the solid state growth rate for the interfacial Cu-Sn IMC layers.
Recent Advances and Trends of Cyber-Physical Systems and Big Data Analytics in Industrial Informatics

In today’s competitive business environment, companies are facing challenges in dealing with big data issues for rapid decision making for improved productivity. Many manufacturing systems are not ready to manage big data due to the lack of smart analytics tools. Germany is leading a transformation toward 4th Generation Industrial Revolution (Industry 4.0) based on Cyber-Physical System based manufacturing and service innovation. As more software and embedded intelligence are integrated in industrial products and systems, predictive technologies can further intertwine intelligent algorithms with electronics and tether-free intelligence to predict product performance degradation and autonomously manage and optimize product service needs. This article addresses the trends of industrial transformation in big data environment as well as the readiness of smart predictive informatics tools to manage big data to achieve transparency and productivity. Keywords—Industry 4.0; Cyber Physical Systems; Prognostics and Health Management; Big Data;
A phase 3 trial evaluating panitumumab plus best supportive care vs best supportive care in chemorefractory wild-type KRAS or RAS metastatic colorectal cancer

Background:We assessed the treatment effect of panitumumab plus best supportive care (BSC) vs BSC on overall survival (OS) in patients with chemorefractory wild-type KRAS exon 2 metastatic colorectal cancer (mCRC) and report the first prospective extended RAS analysis in a phase 3 trial.Methods:Patients with wild-type KRAS exon 2 mCRC were randomised 1 : 1 to panitumumab (6 mg kg−1 Q2W) plus BSC or BSC. On-study crossover was prohibited. RAS mutation status was determined by central laboratory testing. The primary endpoint was OS in wild-type KRAS exon 2 mCRC; OS in wild-type RAS mCRC (KRAS and NRAS exons 2, 3, and 4) was a secondary endpoint.Results:Three hundred seventy seven patients with wild-type KRAS exon 2 mCRC were randomised. Median OS was 10.0 months with panitumumab plus BSC vs 7.4 months with BSC (HR=0.73; 95% CI=0.57–0.93; P=0.0096). RAS ascertainment was 86%. In wild-type RAS mCRC, median OS for panitumumab plus BSC was 10.0 vs 6.9 months for BSC (HR=0.70; 95% CI=0.53–0.93; P=0.0135). Patients with RAS mutations did not benefit from panitumumab (OS HR=0.99; 95% CI=0.49–2.00). No new safety signals were observed.Conclusions:Panitumumab significantly improved OS in wild-type KRAS exon 2 mCRC. The effect was more pronounced in wild-type RAS mCRC, validating previous retrospective analyses.
Vertical vibration suppression for a position controlled biped robot

A controller design to suppress vertical vibration of a position controlled biped walking robot is presented. The system model of structural vibration is estimated from a measurement of frequency response. By using the model, an optimal feedback controller with full state observer is designed. With a consideration of leg support phase, the vibration controller is combined into our walking controller. The effectiveness of our controller is experimentally demonstrated.
Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference

With the rapid development of urbanization and public transportation system, the number of traffic accidents have significantly increased globally over the past decades and become a big problem for human society. Facing these possible and unexpected traffic accidents, understanding what causes traffic accident and early alarms for some possible ones will play a critical role on planning effective traffic management. However, due to the lack of supported sensing data, research is very limited on the field of updating traffic accident risk in real-time. Therefore, in this paper, we collect big and heterogeneous data (7 months traffic accident data and 1.6 million users’ GPS records) to understand how human mobility will affect traffic accident risk. By mining these data, we develop a deep model of Stack denoise Autoencoder to learn hierarchical feature representation of human mobility. And these features are used for efficient prediction of traffic accident risk level. Once the model has been trained, our model can simulate corresponding traffic accident risk map with given real-time input of human mobility. The experimental results demonstrate the efficiency of our model and suggest that traffic accident risk can be significantly more predictable through human mobility.
Synthesis of CdS nanoparticles with enhanced optical properties

Abstract Size tunability of thioglycerol capped cadmium sulphide nanoparticles has been achieved by controlling the capping reagent concentration as well as annealing temperature through chemical precipitation method. Optical and structural properties of CdS nanoparticles were studied through UV–Vis absorption, X-ray diffraction, energy dispersive X-ray, high resolution transmission electron microscopy, Raman and photoluminescence spectroscopy. Synthesis at 0.6 ml thioglycerol concentration produces stable nanoparticles of smallest size nearly 3 ± 0.5 nm having narrow size distribution, high photoluminescence intensity and lower crystallinity. Annealing improves the crystallinity and reduces the defects levels. The attachment of particles, existence of intrinsic stacking faults, extrinsic stacking faults, twin boundaries, interface dislocations as well as clear lattice fringes in high resolution transmission electron microscopy images are also discussed.
On Coleridge as translator of Faustus from the German of Goethe

The recent publication of Faustus from the German of Goethe, translated by Samuel Taylor Coleridge (Oxford University Press, 2007), edited by Frederick Burwick and James McKusick, has given rise to some controversy concerning whether Coleridge was properly identified as the translator. In this short essay I select a few telling facts from the comprehensive collection of evidence supporting Coleridge’s role as translator. In addition to a sampling of the phrases from Coleridge’s own poetry that are echoed in his translation, and of the references in his notebooks on rendering German words, this essay also briefly summarizes evidence from external sources.
The Supply Chain Management Processes

Page 13 Supply chain management is increasingly being recognized as the integration of key business processes across the supply chain. For example, Hammer argues that now that companies have implemented processes within the firm, they need to integrate them between firms: Streamlining cross-company processes is the next great frontier for reducing costs, enhancing quality, and speeding operations. It is where this decade’s productivity wars will be fought. The victors will be those companies that are able to take a new approach to business, working closely with partners to design and manage processes that extend across traditional corporate boundaries. They will be the ones that make the leap from efficiency to super efficiency [1]. Monczka and Morgan also focus on the importance of process integration in supply chain management [2]. The piece that seems to be missing from the literature is a comprehensive definition of the processes that constitute supply chain management. How can companies achieve supply chain integration if there is not a common understanding of the key business processes? It seems that in order to build links between supply chain members it is necessary for companies to implement a standard set of supply chain processes. Practitioners and educators need a common definition of supply chain management, and a shared understanding of the processes. We recommend the definition of supply chain management developed and used by The Global Supply Chain Forum: Supply Chain Management is the integration of key business processes from end user through original suppliers that provides products, services, and information that add value for customers and other stakeholders [3]. The Forum members identified eight key processes that need to be implemented within and across firms in the supply chain. To date, The Supply Chain Management Processes
The past tense debate: Is phonological complexity the key to the puzzle?

Theorists disagree over whether our language faculty is a single system or a dual one. Those supporting the latter position believe that English regular and irregular past tense verbs reflect this duality, with some proposing that each is processed by a rule mechanism and memorised lexicon respectively. Single system proponents believe instead that all verbs are processed by the same system, differing only in their degree of reliance on phonological and semantic representations. Regular past tense verbs involve greater phonological processing partly because they are phonologically more complex than irregulars. Early neuroimaging studies showing activation differences between the two have been taken as evidence for a dual system. However, it has been proposed recently that greater activation related to regular verb inflection was instead due to the failure to match regular and irregular verbs for phonological complexity (PC). Using a 2×3 ANOVA, the current event-related fMRI study tested this idea directly by manipulating regularity (regular, irregular) and PC (low, mid,and high) in 19 English-speaking monolingual participants. We found a main effect of PC, supporting the idea that phonological complexity cannot be ignored when considering differences between regular and irregular verbs. However we also found a main effect of regularity, demonstrating that differences over and above phonological complexity exist between the two types of verb. Even with phonological complexity matched, several regions including left inferior frontal gyrus and caudate were more activated for regular verb inflection. Temporal lobe regions and left hippocampus were among regions activated relatively more for irregular verb inflection. These latter findings suggest it may be premature to rule out a dual system account.
To Reduce the False Alarm in Intrusion Detection System using self Organizing Map

Intrusion detection systems aim to identify attacks with a high detection rate and a low false alarm rate. Classification-based data mining models for intrusion detection are often ineffective in dealing with dynamic changes in intrusion patterns and characteristics. Consequently, unsupervised learning methods have been given a closer look for network intrusion detection. Traditional instance-based learning methods can only be used to detect known intrusions, since these methods classify instances based on what they have learned. They rarely detect new intrusions since these intrusion classes has not been able to detect new intrusions as well as known intrusions. In this paper, we propose a soft Computing technique such as Self organizing map for detecting the intrusion in network intrusion detection. Problems with k-mean clustering are hard cluster to class assignment, class dominance, and null class problems. The network traffic datasets provided by the NSL-KDD Data set in intrusion detection system which demonstrates the feasibility and promise of unsupervised learning methods for network intrusion
Concepts and Concept-Oriented Programming

In the paper we introduce a new programming language construct, called concept, which is defined as a pair of two classes: one reference class and one object class. Instances of the reference class are passed-by-value and are intended to indirectly represent objects. Instances of the object class are passed-by-reference. Each concept has a parent concept specified by means of the concept inclusion relation. This approach where concepts are used instead of classes is referred to as concept-oriented programming (CoP). CoP is intended to generalize object-oriented programming (OOP). Particularly, concepts generalize conventional classes and concept inclusion generalizes class inheritance in OOP. This approach allows the programmer to describe not only objects but also references which are made integral and completely legal part of the program. Program objects at run-time exist within a virtual hierarchal address space and CoP provides means to effectively design such a space for each concrete problem domain.
Systems metabolic engineering design: Fatty acid production as an emerging case study

Increasing demand for petroleum has stimulated industry to develop sustainable production of chemicals and biofuels using microbial cell factories. Fatty acids of chain lengths from C6 to C16 are propitious intermediates for the catalytic synthesis of industrial chemicals and diesel-like biofuels. The abundance of genetic information available for Escherichia coli and specifically, fatty acid metabolism in E. coli, supports this bacterium as a promising host for engineering a biocatalyst for the microbial production of fatty acids. Recent successes rooted in different features of systems metabolic engineering in the strain design of high-yielding medium chain fatty acid producing E. coli strains provide an emerging case study of design methods for effective strain design. Classical metabolic engineering and synthetic biology approaches enabled different and distinct design paths towards a high-yielding strain. Here we highlight a rational strain design process in systems biology, an integrated computational and experimental approach for carboxylic acid production, as an alternative method. Additional challenges inherent in achieving an optimal strain for commercialization of medium chain-length fatty acids will likely require a collection of strategies from systems metabolic engineering. Not only will the continued advancement in systems metabolic engineering result in these highly productive strains more quickly, this knowledge will extend more rapidly the carboxylic acid platform to the microbial production of carboxylic acids with alternate chain-lengths and functionalities.