Miracle-dz/UniFAR-FTUs huggingface dataset:
Morphological, Mechanical and Mucoadhesive Properties of Electrospun Chitosan/Phospholipid Hybrid Nanofibers

This study aimed to develop hybrid electrospun chitosan–phospholipid nanofibers and investigate the effect of phospholipid (P) content and chitosans (Ch) molecular weights (Mw) and degree of acetylation (DA), on the morphological, mechanical and mucoadhesive properties of the nanofibers. Electrospun Ch/P nanofibers exhibited a smooth and uniform surface with average diameters ranging from 300 to 1000 nm, as observed by scanning electron microscopy (SEM). The average diameter of the nanofibers was observed to increase with the increase of the Mw and degree of deacetylation of Ch, and phospholipid content. The elastic and adhesive properties of the nanofibers were determined by atomic force microscopy, and displayed higher values for higher Mw and lower DA Ch used. The elastic modulus of electrospun Ch/P hybrid fibers determined for the different conditions tested was found to be in the range of 500 and 1400 MPa. Furthermore, electrospun Ch/P nanofibers displayed mucoadhesive properties expressed by the work of adhesion calculated after the compression of the nanofibers against a section of pig small intestine. Our results showed that the increase in phospholipid content and DA of Ch decrease the work of adhesion, while the increase of Mw resulted in slightly higher work of adhesion of the nanofibers.
Approximate Probabilistic Neural Networks with Gated Threshold Logic

Probabilistic Neural Network (PNN) is a feedforward artificial neural network developed for solving classification problems. This paper proposes a hardware implementation of an approximated PNN (APNN) algorithm in which the conventional exponential function of the PNN is replaced with gated threshold logic. The weights of the PNN are approximated using a memristive crossbar architecture. In particular, the proposed algorithm performs normalization of the training weights, and quantization into 16 levels which significantly reduces the complexity of the circuit.
VISUALIZATION OF CHOROIDAL NEOVASCULARIZATION USING TWO COMMERCIALLY AVAILABLE SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY DEVICES.

PURPOSE To compare the sensitivity of detection and the measured size of choroidal neovascularization (CNV) on two commercially available spectral domain optical coherence tomography angiography (OCTA) devices, the Optovue RTVue XR Avanti with AngioVue and the Zeiss Cirrus HD-OCT with AngioPlex. METHODS Patients with CNV lesions were imaged consecutively on both OCTA devices on the same day of their visit. 3 × 3 mm and 6 × 6 mm scans centered at the fovea were obtained. Two independent masked readers evaluated the OCTA images for CNV identification and its area measurements. RESULTS No significant differences were observed between the 2 OCTA devices in CNV area measurements on their 3 × 3 mm and 6 × 6 mm scans. However, there was suboptimal performance of their automated segmentation algorithms as compared to manually adjusted segmentation for visualizing CNV lesions. CONCLUSION There was no significant difference in the size of the CNV lesion as measured on either commercially available spectral domain OCTA device. Both devices were comparable in their detection of CNV lesions on manual adjustment of segmentation lines. However, their automated segmentation algorithms need improvement to allow for accurate measurement of CNV lesions for routine clinical application.
Modeling and measuring extracellular matrix alterations in fibrosis: challenges and perspectives for antifibrotic drug discovery

ABSTRACT An imbalance of extracellular matrix (ECM) deposition and turnover is a hallmark of fibrotic pathologies as opposed to normal repair response to injury across several organs. Antifibrotic approaches to date have targeted multiple mechanisms and pathways involved in inflammation, angiogenesis, injury, wound repair, ECM biosynthesis, assembly, crosslinking and degradation. Many of these approaches have been unsuccessful which may in part be due to suboptimal models and the lack of validated functional ECM end points relevant to fibrosis. In addition, drug discovery and development for fibrotic diseases has been challenging due to the lack of translatability from in vivo models to the clinic. Targeting growth factor signaling pathways such as transforming growth factor beta (TGFβ), platelet-derived growth factor (PDGF), and fibroblast growth factor (FGF) are possible in simple recombinant cell models and the approval of the tyrosine kinase inhibitor, nintedanib (Ofev) is testament to the approach. However, drug targets directly impacting ECM synthesis, assembly or degradation have proven clinically intractable to date. The reasons for a lack of progress are many and include; non-traditional drug targets, lack of suitable high throughput screening assays and translational models, incomplete understanding of the role of the target. Here, we review the role of ECM in fibrosis, the challenges of ECM-targeted antifibrotic approaches, progress in the development of functional and biomarker-related ECM assays and where new translational models of fibrotic ECM remodeling could support drug discovery for fibrotic diseases.
The use of viscoelastic haemostatic assays in the management of major bleeding

Nicola S. Curry, Ross Davenport, Sue Pavord, Susan V. Mallett, Dianne Kitchen, Andrew A. Klein, Helena Maybury, Peter W. Collins and Mike Laffan Department of Haematology, Oxford University Hospitals NHS Foundation Trust, NIHR BRC, Blood Theme, Oxford University, Oxford, Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, Department of Anaesthesia, Royal Free London NHS Foundation Trust, London, UK NEQAS for Blood Coagulation, Sheffield, Department of Anaesthesia and Intensive Care, Royal Papworth Hospital, Cambridge, Department of Obstetrics, Leicester Royal Infirmary, Leicester, Department of Haematology, School of Medicine, Cardiff University, Cardiff, and Department of Haematology, Imperial College and Hammersmith Hospital, London, UK
Fascial tissue research in sports medicine: from molecules to tissue adaptation, injury and diagnostics: consensus statement

The fascial system builds a three-dimensional continuum of soft, collagen-containing, loose and dense fibrous connective tissue that permeates the body and enables all body systems to operate in an integrated manner. Injuries to the fascial system cause a significant loss of performance in recreational exercise as well as high-performance sports, and could have a potential role in the development and perpetuation of musculoskeletal disorders, including lower back pain. Fascial tissues deserve more detailed attention in the field of sports medicine. A better understanding of their adaptation dynamics to mechanical loading as well as to biochemical conditions promises valuable improvements in terms of injury prevention, athletic performance and sports-related rehabilitation. This consensus statement reflects the state of knowledge regarding the role of fascial tissues in the discipline of sports medicine. It aims to (1) provide an overview of the contemporary state of knowledge regarding the fascial system from the microlevel (molecular and cellular responses) to the macrolevel (mechanical properties), (2) summarise the responses of the fascial system to altered loading (physical exercise), to injury and other physiological challenges including ageing, (3) outline the methods available to study the fascial system, and (4) highlight the contemporary view of interventions that target fascial tissue in sport and exercise medicine. Advancing this field will require a coordinated effort of researchers and clinicians combining mechanobiology, exercise physiology and improved assessment technologies.
Haemoplasmas in wild rodents: Routes of transmission and infection dynamics

The way that some parasites and pathogens persist in the hostile environment of their host for long periods remains to be resolved. Here, longitudinal field surveys were combined with laboratory experiments to investigate the routes of transmission and infection dynamics of such a pathogen—a wild rodent haemotropic bacterium, specifically a Mycoplasma haemomuris‐like bacterium. Fleaborne transmission, direct rodent‐to‐rodent transmission and vertical transmission from fleas or rodents to their offspring were experimentally quantified, and indications were found that the main route of bacterial transmission is direct, although its rate of successful transmission is low (~20%). The bacterium's temporal dynamics was then compared in the field to that observed under a controlled infection experiment in field‐infected and laboratory‐infected rodents, and indications were found, under all conditions, that the bacterium reached its peak infection level after 25–45 days and then decreased to low bacterial loads, which persist for the rodent's lifetime. These findings suggest that the bacterium relies on persistency with low bacterial loads for long‐term coexistence with its rodent host, having both conceptual and applied implications.
Predators Shape Sedimentary Organic Carbon Storage in a Coral Reef Ecosystem

Trophic cascade theory predicts that predator effects should extend to influence carbon cycling in ecosystems. Yet, there has been little empirical evidence in natural ecosystems to support this hypothesis. Here, we use a naturally-occurring trophic cascade to provide evidence that predators help protect sedimentary organic carbon stocks in coral reef ecosystems. Our results show that predation risk altered the behavior of herbivorous fish, whereby it constrained grazing to areas close to the refuge of the patch reefs. Macroalgae growing in "riskier" areas further away from the reef were released from grazing pressure, which subsequently promoted carbon accumulation in the sediments underlying the macroalgal beds. Here we found that carbon stocks furthest away from the reef edge were similar to 24% higher than stocks closest to the reef. Our results indicate that predators and herbivores play an important role in structuring carbon dynamics in a natural marine ecosystem, highlighting the need to conserve natural predator-prey dynamics to help maintain the crucial role of marine sediments in sequestering carbon.
Editorial: Executive Function and Education

Executive function is an umbrella term for various cognitive processes that are central to goaldirected behavior, thoughts, and emotions. These processes are especially important in novel or demanding situations, which require a rapid and flexible adjustment of behavior to the changing demands of the environment. The development of executive function relies on the maturation of associated brain regions as well as on stimulation in the child’s social contexts, especially the home and school. Over the past decade, the term executive function has become a buzzword in the field of education as both researchers and educators underscore the importance of skills like goal setting, planning, and organizing in academic success. Accordingly, in initiating this Research Topic/eBook our goal was to provide a forum for state-of-the-art theoretical and empirical work on this both facilitates communication among researchers from diverse fields and provides a theoretically sound source of information for educators. The contributors to this volume, who hail from several different countries in Europe and North America, have certainly accomplished this goal in their nuanced and cutting-edge depictions of the complex links among various executive function components and educational success. In trying to present a coherent presentation of themany excellent contributions, we conceptually divided the papers in this Research Topic/eBook into the three broad sections of (1) executive function as predictor for academic outcomes, (2) teacher, parent, and family factors in the relationship between executive function and academic outcomes, and (3) interventions and their impact on executive function and academic performance.
Noncircular Attacks on Phasor Measurement Units for State Estimation in Smart Grid

With the evolution of phasor measurement units (PMUs) and the proposition to incorporate a large number of PMUs in future smart grids, it is critical to identify and prevent potential (zero-day) cyber attacks on phasor signals. The PMUs are the forefront of sensor technologies used in the smart grid and produce phasor voltage and current readings, which are complex-valued in nature. In this regard, the paper investigates potential attacks on complex-valued PMU signals and proposes the new paradigm of data-injection attacks, referred to as noncircular attacks. Existing state estimation algorithms and attack monitoring solutions assume that the PMU observations have statistical characteristics similar to that of real-valued signals. This assumption makes PMUs extremely defenseless against the proposed noncircular attacks. In this paper, we introduce the noncircular attack model, evaluate (both analytically and via experiments) the potential destructive nature of such attacks, propose a Bhattacharyya distance detector for monitoring the system against cyber attacks by transforming the detection problem to an equivalent problem of comparing innovation sequences in distribution via statistical distance measures, and propose a circularization approach, which enables the conventional detection algorithms to identify noncircular attacks.
Visual Servoing of a Flexible Gantry Crane With a Sway Range Constraint

In this letter, the problem of moving a gantry crane with a flexible cable and a sway range constraint to the desired position is solved. The dynamic model of the flexible gantry crane system is built based on the absolute nodal coordinate formulation (ANCF), which is useful for analyzing flexible bodies. A novel controller is proposed to control the gantry crane to the desired position and guarantee the sway range constraint. Moreover, with the help of an eye-in-hand camera, an adaptive law is developed to detect the position of the object with respect to the base frame. The convergence of the cable’s position to the desired position, the satisfaction of the sway range constraint, and the convergence of the estimated object’s position to the real value are rigorously verified based on the Lyapunov theory. Simulation demonstrates the effectiveness of the proposed controller.
Permeation and Rectification in Canonical Transient Receptor Potential-6 (TRPC6) Channels

Transient receptor potential-6 channels are widely expressed cation channels that play a role in regulating Ca2+ dynamics, especially during G protein-coupled receptor signaling. The permeation of cations through TRPC6 is complex and the relative permeability to Ca2+ relative to monovalent cations appears to be highly voltage-dependent and is reduced upon membrane depolarization. Many investigators have observed complex current-voltage (I-V) relationships in recordings of TRPC6 channels, which often manifest as flattening of I-V curves between 0 and +40 mV and negative to -60 mV. These features are especially common in recordings from TRPC6 channels expressed in heterologous expression systems. Indeed, it is sometimes argued that marked rectification at both negative and positive membrane potentials is a defining feature of TRPC6, and that recordings in which these features are reduced or absent cannot reflect activity of TRPC6. Here we present a review of the literature to show that complex rectification is not seen in every cell type expressing TRPC6, even when comparing recordings made from the same groups of investigators, or in recordings from what is nominally the same heterologous expression system. Therefore other criteria, such as gene knockout or knockdown, or the use of newly emerging selective blockers, must be used to ascertain that a given current reflects activity of endogenously expressed TRPC6 channels. We also discuss the possibility that complex rectification may not be an intrinsic property of TRPC6 in cells where it is observed, and may instead reflect presence of endogenous substances that cause voltage-dependent inhibition of the channels.
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures

For many years, a combination of principal component analysis (PCA) and independent component analysis (ICA) has been used for blind source separation (BSS). However, it remains unclear why these linear methods work well with real-world data that involve nonlinear source mixtures. This work theoretically validates that a cascade of linear PCA and ICA can solve a nonlinear BSS problem accurately—when the sensory inputs are generated from hidden sources via nonlinear mappings with sufficient dimensionality. Our proposed theorem, termed the asymptotic linearization theorem, theoretically guarantees that applying linear PCA to the inputs can reliably extract a subspace spanned by the linear projections from every hidden source as the major components—and thus projecting the inputs onto their major eigenspace can effectively recover a linear transformation of the hidden sources. Then subsequent application of linear ICA can separate all the true independent hidden sources accurately. Zero-element-wise-error nonlinear BSS is asymptotically attained when the source dimensionality is large and the input dimensionality is sufficiently larger than the source dimensionality. Our proposed theorem is validated analytically and numerically. Moreover, the same computation can be performed by using Hebbian-like plasticity rules, implying the biological plausibility of this nonlinear BSS strategy. Our results highlight the utility of linear PCA and ICA for accurately and reliably recovering nonlinearly mixed sources and suggest the importance of employing sensors with sufficient dimensionality to identify true hidden sources of real-world data.
A systematic review of the barriers and facilitators to the provision and use of low-tech and unaided AAC systems for people with complex communication needs and their families

Abstract Purpose: Speech-language pathologists may introduce augmentative or alternative communication (AAC) systems to people who are unable to use speech for everyday communication. Despite the benefits of AAC systems, they are significantly underutilized by the people with complex communication needs. The current review aimed to synthesize the barriers and facilitators to the provision and use of low-tech and unaided AAC systems. Materials and methods: Relevant literature was identified via a systematic search strategy. Included articles (n = 43) were evaluated using the Critical Appraisal Skills Programme. Qualitative framework analysis was then completed with reference to the International Classification of Functioning, Disability, and Health (ICF). Results and conclusion: Most barriers and facilitators were coded as contextual factors within the ICF. Of most prominence were environmental factors, including attitudes of and supports provided by professionals, family members, and the society at large. Themes were also identified which related to the personal factors, including the user’s own attitude, socioeconomic status, and culture. Beyond these contextual factors, the remaining codes related to body functions such as cognition and movement. There are numerous barriers to the provision and use of low-tech and unaided AAC systems, which may contribute to the inadequate use of these systems by people with complex communication needs. Suggestions for reducing these barriers are presented with regards to the person with complex communication needs, their family, and the professionals involved in their care. Implications for Rehabilitation AAC systems can reduce participation restrictions for people with complex communication needs. The provision and use of AAC systems is influenced by environmental factors, personal factors, and features of a person’s body function. SLPs may need to collaborate with a large multidisciplinary team to successfully introduce AAC systems. SLP, teaching, and nursing students require theoretical and practical experience in AAC throughout their training to enable the provision and use of these systems.
Auction‐based resource allocation mechanisms in the cloud environments: A review of the literature and reflection on future challenges

Cloud computing is an Internet‐based computing and networking model, with elasticity and scalability capabilities where the services are delivered to its users in a non‐demand style. In this computing paradigm, the request and response between users and providers must be managed using the resource allocation strategies. Therefore, allocating the provided resources to the users based on their needs is the important challenge in this environment. Also, an auction in the cloud is a process of buying and vending the cloud services by offering them up for bid and then selling the service to the highest bidder. However, to the best of our knowledge, there has not been any comprehensive and detailed paper about reviewing the state‐of‐the‐art mechanisms on this important topic and providing open issues as well. Hence, this paper provides a comprehensive survey and review of the auction‐based resource allocation mechanisms, which have been employed in the cloud environments up to now. Also, we classified the important cloud resource allocation mechanisms into four categories: one‐sided, double‐sided, combinatorial, and other types of auction‐based mechanisms. Moreover, we reviewed the main progress in these four categories and defined the new issues. Finally, the paper offers the differences among reviewed mechanisms as well as guidelines for future investigation.
Molecular Characterization of Extended-Spectrum β-Lactamase-Producing Multidrug Resistant Escherichia coli From Swine in Northwest China

Objectives: The aim of the present study was to explore the prevalence and molecular characterization of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli collected from pig farms in Northwest China. Methods: Between May 2015 and June 2017, a total of 456 E. coli isolates were collected from fecal samples of healthy and diarrheal pigs in Northwest China to screen the ESBL producers. The β-lactamases, plasmid-mediated quinolone resistance (PMQR) genes and virulence genes among ESBL producers were corroborated by PCR and sequencing. Finally, ESBL producers were further grouped according to phylogenetic background and genetic relatedness. Results: Forty-four (9.6%) out of the 456 E. coli isolates were identified as ESBL-producing isolates. All ESBL producers exhibited multidrug resistance (MDR) phenotype, and more than 90% of the ESBL producers were resistant to amoxicillin, amoxicillin-clavulanic acid, oxytetracycline, enrofloxacin and sulfamethoxazole/trimethoprim. All ESBL producers harbored at least one type of β-lactamase, with blaCTX−M, blaTEM, blaSHV, blaOXA−48, and blaKPC−2 being detected in forty, thirty, seven, four, two and one isolates, respectively. Sequencing revealed the most common blaCTX−M subtype was blaCTX−M−14 (n = 24), followed by blaCTX−M−15 (n = 14), blaCTX−M−64 (n = 11), blaCTX−M−9 (n = 10) and blaCTX−M−123 (n = 9). qnrS (n = 23) was the predominant PMQR gene, and all PMQR genes were detected in co-existence with β-lactamase genes. estA (n = 18) and F4 (n = 18) were the most prevalent enterotoxin and fimbrial adhesin, respectively, and 27 different virotypes were found with respect to the association of enterotoxins and fimbrial adhesins. Twenty-four different sequence types (STs) were identified among 44 ESBL producers, and clones ST405, ST10 and ST648 were strongly present in more than one-third (34.1%) of ESBL producers. Conclusion: All ESBL-producing E. coli isolates exhibited MDR phenotype, and showed high prevalence of β-lactamase and PMQR genes. Especially, one isolate harbored ESBL genes blaTEM, blaSHV, blaCTX−M−9, blaCTX−M−14, blaCTX−M−64, and carbapenemase gene blaOXA−48 and blaKPC−2, as well as PMQR genes qnrS, qnrB, qnrD, qepA and aac(6')-Ib-cr.