bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of ageing on responses to stepping-target displacements during walking
Authors: Zhang Yajie , Smeets Jeroen B. J. , Brenner Eli , Verschueren Sabine , Duysens Jacques 
Published: September 2020

Abstract
Purpose
Human sensory and motor systems deteriorate with age. When walking, older adults may therefore find it more difficult to adjust their steps to new visual information, especially considering that such adjustments require control of balance as well as of foot trajectory. Our study investigates the effects of ageing on lower limb responses to unpredictable target shifts.

Methods
Participants walked on a treadmill with projected stepping targets that occasionally shifted in the medial or lateral direction. The shifts occurred at a random moment during the early half of the swing phase of either leg. Kinematic, kinetic and muscle activity data were collected.

Results
Older adults responded later and corrected for a smaller proportion of the shift than young adults. The order in which muscle activation changed was similar in both groups, with responses of gluteus medius and semitendinosus from about 120 to 140 ms after the shift. Most muscles responded slightly later to lateral target shifts in the older adults than in the young adults, but this difference was not observed for medial target shifts. Ageing delayed the behavioural responses more than it did the electromyographic (EMG) responses.

Conclusions
Our study suggests that older adults can adjust their walking to small target shifts during the swing phase, but not as well as young adults. Furthermore, muscle strength probably plays a substantial role in the changes in online adjustments during ageing.
GbMYBR1 from Ginkgo biloba represses phenylpropanoid biosynthesis and trichome development in Arabidopsis
Authors: Su Xiaojia , Xia Yaying , Jiang Wenbo , Shen Guoan , Pang Yongzhen 
Published: September 2020

Abstract
Main Conclusion
GbMYBR1, a new type of R2R3-MYB repressor from Ginkgo biloba, displayed pleiotropic effects on plant growth, phenylpropanoid accumulation, by regulating multiple related genes at different levels.

Abstract
Ginkgo biloba is a typical gymnosperm that has been thriving on earth for millions of years. MYB transcription factors (TFs) play important roles in diverse processes in plants. However, the role of MYBs remains largely unknown in Ginkgo. Here, an MYB TF gene from Ginkgo, designated as GbMYBR1, was found to act as a repressor in multiple processes. GbMYBR1 was mainly expressed in the leaves of Ginkgo. Over-expression of GbMYBR1 in Arabidopsis thaliana led to growth retardation, decreases in lignin content, reduced trichome density, and remarkable reduction in anthocyanin and flavonol contents in leaves. Proanthocyanidin content was decreased in the seeds of transgenic Arabidopsis, which led to light-brown seed color. Both qPCR and transcriptome sequencing analyses demonstrated that the transcript levels of multiple genes related to phenylpropanoid biosynthesis, trichome formation, and pathogen resistance were down-regulated in the transgenic Arabidopsis. In particular, we found that GbMYBR1 directly interacts with the bHLH cofactor GL3 as revealed by yeast two-hybrid assays. Our work indicated that GbMYBR1 has pleiotropic effects on plant growth, phenylpropanoid accumulation, and trichome development, mediated by interaction with GL3 or direct suppression of key pathway genes. Thus, GbMYBR1 represents a novel type of R2R3 MYB repressor.
Hemorrhagic risk after intravenous thrombolysis for ischemic stroke in patients with cerebral microbleeds and white matter disease
Authors: Capuana Maria Luisa , Lorenzano Svetlana , Caselli Maria Chiara , Paciaroni Maurizio , Toni Danilo 
Published: September 2020

Abstract
Objectives
Aim of this study was to evaluate the association between cerebral microbleeds (CMBs) and white matter disease (WMD) with intracerebral hemorrhage (ICH) after intravenous thrombolysis (IVT) with rt-PA. We also evaluated whether CMBs characteristics and WMD burden correlate with symptomatic ICH and outcome.

Methods
We included acute ischemic stroke (AIS) patients treated with IVT. The number and location of CMBs as well as severity of WMD were rated analyzing pre- or post-treatment MRI. Multivariable regression analysis was used to determine the impact of CMB and WMD on ICH subgroups and outcome measures.

Results
434 patients were included. CMBs were detected in 23.3% of them. ICH occurred in 34.7% of patients with CMBs. Independent predictors of parenchymal hemorrhage were the presence of CMBs (OR 2.724, 95% CI 1.360–5.464, p = 0.005) as well as cortical-subcortical stroke (OR 3.629, 95% CI 1.841–7.151, p < 0.001) and atherothrombotic stroke subtype (OR 3.381, 95% CI 1.335–8.566, p = 0.010). Either the presence, or number, and location of CMBs, as well as WMD, was not independently associated with the development of SICH. No independent association between the presence, number, or location of CMBs or WMD and outcome measures was observed.

Conclusions
The results of our study suggest that the exclusion of eligible candidates to administration of IV rt-PA only on the basis of CMBs presence is not justified. The clinical decision should be weighed with a case-by-case approach. Additional data are needed to evaluate the benefit-risk profile of rt-PA in patients carrying numerous microbleeds.
Changing Categorical Work in Healthcare: the Use of Patient-Generated Health Data in Cancer Rehabilitation
Authors: Cerna Katerina , Grisot Miria , Islind Anna Sigridur , Lindroth Tomas , Lundin Johan , Steineck Gunnar 
Published: September 2020

AbstractCategorical work in chronic care is increasingly dependent on digital technologies for remote patient care. However, remote care takes many forms and while various types of digital technologies are currently being used, we lack a nuanced understanding of how to design such technologies for specific novel usages. In this paper, we focus on digital technologies for patient-generated health data and how their use changes categorical work in chronic care. Our aim is to understand how categorical work changes, which novel forms of categorical work emerge and what the implications are for the care relation. This paper is based on an ethnographic study of healthcare professionals’ work at a pelvic cancer rehabilitation clinic and their interactions with patients. In this setting, supportive talks between patients and nurses are central. To understand the complexities of categorical work in chronic care when patient-generated health data are introduced, we contrast the traditional supportive talks with supportive talks where the nurses had access to the patients’ patient-generated health data. We identify and analyze challenges connected to novel forms of categorical work. Specifically, we focus on categorical work and how it can undergo changes. Our empirical findings show how changes occur in the way patients’ lived experience of the chronic disease aligns with the categories from chronic care, as well as in the way the nurse works with clinical categories during the talk. These insights help us further understand the implications of patient generated-data use in supportive talks. We contribute to an improved understanding of the use of patient-generated health data in clinical practice and based on this, we identify design implications for how to make categorical work more collaborative.
A new approach for an ultra-thin piezoresistive sensor based on solidified carbon ink film
Authors: Yi Ying , Samara Ayman , Wang Bo 
Published: September 2020

AbstractConventional flexible piezoresistive strain sensors that use conductive particles polymer composites exhibit thick structures with a low sensitivity to external tension. This paper presents a cost-effective method to fabricate ultra-thin and highly sensitive piezoresistive strain sensors. In our fabrication steps, carbon ink that is mainly composed of carbon black particles is solidified with a drying process to form a “paperlike,” flexible conductive film. Without any surface modification techniques, the carbon ink film is directly placed onto liquid-state PDMS and then bonded after the drying process. Following the rapid prototyping, different performance metrics of the fabricated sensors, including piezoresistivity, gauge factor, temperature dependency, elastic modulus, and repeatability are measured. Specifically, sensors fabricated with this method show a significantly improved gauge factor (~26) compared to similar flexible sensors fabricated by more complicated micro-fabrication methods. The proposed method of fabrication and the corresponding ultra-thin (~45 μm) sensor prototype may benefit the design and mass production of future wearable biomedical and healthcare sensors.
Improved electrochemical performance of SiO2-coated Li-rich layered oxides-Li1.2Ni0.13Mn0.54Co0.13O2
Authors: James Abraham Jeffin , Nisar Umair , Monawwar Haya , Abdul Quddus Aisha , Shakoor R. A. , Saleh Mohamed I. , Kahraman Ramazan , Al-Qaradawi Siham , Aljaber Amina S. 
Published: September 2020

AbstractLithium-rich layered oxides (LLOs) such as Li1.2Ni0.13Mn0.54Co0.13O2 are suitable cathode materials for future lithium-ion batteries (LIBs). Despite some salient advantages, like low cost, ease of fabrication, high capacity, and higher operating voltage, these materials suffer from low cyclic stability and poor capacity retention. Several different techniques have been proposed to address the limitations associated with LLOs. Herein, we report the surface modification of Li1.2Ni0.13Mn0.54Co0.13O2 by utilizing cheap and readily available silica (SiO2) to improve its electrochemical performance. Towards this direction, Li1.2Ni0.13Mn0.54Co0.13O2 was synthesized utilizing a sol–gel process and coated with SiO2 (SiO2 = 1.0 wt%, 1.5 wt%, and 2.0 wt%) employing dry ball milling technique. XRD, SEM, TEM, elemental mapping and XPS characterization techniques confirm the formation of phase pure materials and presence of SiO2 coating layer on the surface of Li1.2Ni0.13Mn0.54Co0.13O2 particles. The electrochemical measurements indicate that the SiO2-coated Li1.2Ni0.13Mn0.54Co0.13O2 materials show improved electrochemical performance in terms of capacity retention and cyclability when compared to the uncoated material. This improvement in electrochemical performance can be related to the prevention of electrolyte decomposition when in direct contact with the surface of charged Li1.2Ni0.13Mn0.54Co0.13O2 cathode material. The SiO2 coating thus prevents the unwanted side reactions between cathode material and the electrolyte. 1.0 wt% SiO2-coated Li1.2Ni0.13Mn0.54Co0.13O2shows the best electrochemical performance in terms of rate capability and capacity retention.
A Taxonomy of Ethical, Legal and Social Implications of Wearable Robots: An Expert Perspective
Authors: Kapeller Alexandra , Felzmann Heike , Fosch-Villaronga Eduard , Hughes Ann-Marie 
Published: September 2020

AbstractWearable robots and exoskeletons are relatively new technologies designed for assisting and augmenting human motor functions. Due to their different possible design applications and their intimate connection to the human body, they come with specific ethical, legal, and social issues (ELS), which have not been much explored in the recent ELS literature. This paper draws on expert consultations and a literature review to provide a taxonomy of the most important ethical, legal, and social issues of wearable robots. These issues are categorized in (1) wearable robots and the self, (2) wearable robots and the other, and (3) wearable robots in society.
Potential use of deep learning techniques for postmortem imaging
Authors: Dobay Akos , Ford Jonathan , Decker Summer , Ampanozi Garyfalia , Franckenberg Sabine , Affolter Raffael , Sieberth Till , Ebert Lars C. 
Published: September 2020

AbstractThe use of postmortem computed tomography in forensic medicine, in addition to conventional autopsy, is now a standard procedure in several countries. However, the large number of cases, the large amount of data, and the lack of postmortem radiology experts have pushed researchers to develop solutions that are able to automate diagnosis by applying deep learning techniques to postmortem computed tomography images. While deep learning techniques require a good understanding of image analysis and mathematical optimization, the goal of this review was to provide to the community of postmortem radiology experts the key concepts needed to assess the potential of such techniques and how they could impact their work.
Vulnerability studies in the fields of transportation and complex networks: a citation network analysis
Authors: Sugishita Kashin , Asakura Yasuo 
Published: September 2020

AbstractIn recent years, studies on network vulnerability have grown rapidly in the fields of transportation and complex networks. Even though these two fields are closely related, their overall structure is still unclear. In this study, to add clarity comprehensively and objectively, we analyze a citation network consisting of vulnerability studies in these two fields. We collect publication records from an online publication database, the Web of Science, and construct a citation network where nodes and edges represent publications and citation relations, respectively. We analyze the giant weakly connected component consisting of 705 nodes and 4,584 edges. First, we uncover main research domains by detecting communities in the network. Second, we identify major research development over time in the detected communities by applying main path analysis. Third, we quantitatively reveal asymmetric citation patterns between the two fields, which implies that mutual understanding between them is still lacking. Since these two fields deal with the vulnerability of network systems in common, more active interdisciplinary studies should have a great potential to advance both fields in the future.
Lebensverhältnisse in ländlichen Räumen – Ein Dissertationsprojekt über das Bleiben von Frauen in ländlichen Räumen
Authors: Rühmling Melanie 
Published: September 2020

ZusammenfassungDas hier vorgestellte Dissertationsprojekt nimmt Frauen in den Blick, die in ländlichen Räumen leben. Mittels methodologischer Grundlage und Prozedere der Reflexiven Grounded Theory wird sich dem Bleiben in ländlichen Räumen genähert. Basis sind biographische Interviews sowie teilnehmende Beobachtungen. Ziel der explorativen Studie ist eine Systematisierung des Variationsspektrums des Bleibens durch das Herausarbeiten einer Typologie. Diese stellt jene Personen in den Mittelpunkt, die zwar in der medial-öffentlichen Debatte sichtbar sind, doch in der wissenschaftlichen Aufarbeitung der ländlichen Lebensverhältnisse bisher unterrepräsentiert blieben: Frauen, die schon immer in ländlichen Räumen ihren Lebensmittelpunkt haben. Dies trägt zum einen zu einer theoretischen Erklärung des Phänomens Bleiben in ländlichen Räumen bei. Zum anderen wird eine Grundlage geschaffen, welche der Komplexität ländlicher Lebensverhältnisse gegenüber stereotypen Vorstellungen gerecht werden soll.
A stochastic MPEC approach for grid tariff design with demand-side flexibility
Authors: Askeland Magnus , Burandt Thorsten , Gabriel Steven A. 
Published: September 2020

AbstractAs the end-users increasingly can provide flexibility to the power system, it is important to consider how this flexibility can be activated as a resource for the grid. Electricity network tariffs is one option that can be used to activate this flexibility. Therefore, by designing efficient grid tariffs, it might be possible to reduce the total costs in the power system by incentivizing a change in consumption patterns. This paper provides a methodology for optimal grid tariff design under decentralized decision-making and uncertainty in demand, power prices, and renewable generation. A bilevel model is formulated to adequately describe the interaction between the end-users and a distribution system operator. In addition, a centralized decision-making model is provided for benchmarking purposes. The bilevel model is reformulated as a mixed-integer linear problem solvable by branch-and-cut techniques. Results based on both deterministic and stochastic settings are presented and discussed. The findings suggest how electricity grid tariffs should be designed to provide an efficient price signal for reducing aggregate network peaks.
Improvement of rheological and filtration characteristics of water-based drilling fluids using naturally derived henna leaf and hibiscus leaf extracts
Authors: Ismail Abdul R. , Mohd Noorul M. N. A. , Basir Nurul F. , Oseh Jeffrey O. , Ismail Issham , Blkoor Shafeeg O. 
Published: September 2020

AbstractBiodegradable additives are required to minimize the environmental hazards from drilling fluid wastes. This study explores the feasibility of the applications of henna leaf extracts (HLE) and hibiscus leaf extracts (HBLE) as ecological benign products in water-based drilling fluids (WBDFs). Rheological and filtration characterizations were carried out on the WBDFs to detect the effects of different concentrations (1, 2, 10, 20, 30, and 40 g) of these plant extracts at 78 and 300 °F. The results of 1 and 2 g of the plant extracts were compared with those of low-viscosity polyanionic cellulose (PAC LV). Compatibility test was carried out using 25 g/L of the green additives on base fluid (A-0), and the swelling rate of sodium bentonite in distilled water was also considered using 1, 10, and 20 g of the green additives. The findings showed that HLE and HBLE significantly reduced the filtrate loss between 62% and 67% and between 64% and 76%, respectively, and improved the rheological characteristics of the WBDF system between 10 and 40 g. PAC LV showed a greater effect on the rheological properties than the green additives in equal amounts (1 and 2 g), but it exhibited flat high and progressive gels which can lead to mechanical pipe sticking. The test data also showed that the inclusion of HLE and HBLE in the WBDF demonstrated larger impact on the mud cake than PAC LV. The cake thickness of the WBDF was reduced in the following order: 30–32% (by HLE), 32–33% (by HBLE), and 24–27% (by PAC LV). This interprets the outstanding filtration characteristics of green additives. Further, compatibility test data confirmed that the green additives are compatible with the other base fluid additives and the swelling behavior of sodium bentonite verified that the green plants are effective in inhibiting bentonite swelling. Here, the Henna extracts displayed higher inhibition property than the Hibiscus product. Notwithstanding, both products showed excellent inhibition property and a strong viscosity enhancing effect on the WBDF system.
Synthesis and use of carvedilol metal complexes as carbon dioxide storage media
Authors: Mousa Omar G. , Yousif Emad , Ahmed Ahmed A. , El‐Hiti Gamal A. , Alotaibi Mohammad Hayal , Ahmed Dina S. 
Published: September 2020

Abstract
The consequences of increased fossil fuel consumption on the environment presents a challenge. Carbon dioxide capture is a useful technique to reduce global warming. Therefore, three carvedilol metal (nickel, cobalt, and copper) complexes were synthesized as potential carbon dioxide storage media. The structural and textural properties of metal carvedilol complexes have been established using various techniques. The metal complexes have mesoporous structures in which pore size was approximately 3 nm. Particle size ranged from 51.0 to 393.9 nm with a relatively small surface area (6.126–9.073 m2/g). The carvedilol metal complexes have either type-III or IV nitrogen adsorption–desorption isotherm. The complexes showed reasonable capacity towards carbon dioxide uptake (up to 18.21 cm3/g) under the optimized condition (40 bar and 323 K).

Graphical Abstract
RDMA Communciation Patterns
Authors: Ziegler Tobias , Leis Viktor , Binnig Carsten 
Published: September 2020

AbstractRemote Direct Memory Access (RDMA) is a networking protocol that provides high bandwidth and low latency accesses to a remote node’s main memory. Although there has been much work around RDMA, such as building libraries on top of RDMA or even applications leveraging RDMA, it remains a hard problem to identify the most suitable RDMA primitives and their combination for a given problem. While there have been some initial studies included in papers that aim to investigate selected performance characteristics of particular design choices, there has not been a systematic study to evaluate the communication patterns of scale-out systems. In this paper, we address this issue by systematically investigating how to efficiently use RDMA for building scale-out systems.
The utilization of seaweed-based liquid organic fertilizer to stimulate Gracilaria verrucosa growth and quality
Authors: Nasmia  , Rosyida E. , Masyahoro A. , Putera F. H. A. , Natsir S. 
Published: September 2020

AbstractThe aim of this research is to analyze potency and generate organic fertilizer with noneconomic seaweed as material which is bioecologically environment-friendly to stimulateGracilaria verrucosaproduction. By utilizing inexpensive and bioecologically beneficial material, it is expected to increase the growth, production, and repair the quality ofGracilaria verrucosa.The specific target of this research is to analyze the effectivity of an-organic fertilizers (urea) with seaweed-based liquid organic fertilizer. The hormone growth of generated urea and seaweed liquid fertilizers is analyzed, including auxin,gibberellin,cytokinin, as well as nutrient (macro and micro). Moreover, the fertilizer is tested onGracilaria verrucosa.Several noneconomic seaweeds (Codiumsp.,Ulvasp.,Padinasp.,Amphiroasp.) are found in waters area ofSulawesi Tengah.Based on laboratory testing result, it shows that organic fertilizer which has good potency by looking at N, P, and K contents is organic fertilizerUlvasp., with content of N (0.45 mg/L), P (7.67 mg/L), and K (11.06 mg/L). The result of the research shows that there are apparent differences between the tested treatment (p < 0.05) onGracilariasp., growth, and the highest testing on giving liquid fertilizerUlvasp. (71.0 g) with dose 400 mL/15 L water. The result ofGracilaria verrucosaquality by using liquid fertilizerUlvasp. is 40.89%, urea fertilizer 38.62%, and without fertilizer 32.57%. The hormone content ofUlvasp. growth is IAA (0.3961 ppm),gibberellin(36.9595 ppm), andkinetin(3.3718 ppm), and urea fertilizer contains IAA (0.4063 ppm),gibberellin(30.2047 ppm), andkinetin(0.0717 ppm).