bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated detection of extracellular action potentials from single neurons
Authors: Cheng Zhuowei , Guzman Elmer , van der Molen Tjitse , Sharf Tal , Hansma Paul K. , Kosik Kenneth S , Petzold Linda , Tovar Kenneth R 
Published: June 2022

AbstractMulti-electrode arrays (MEAs) non-invasively record extracellular action potentials (eAPs, also known as spikes) from hundreds of neurons simultaneously. However, because extracellular electrodes sample from the local electrical field, each electrode can detect eAPs from multiple nearby neurons. Interpreting spike trains at individual electrodes of high-density arrays requires spike sorting, a computational process which groups eAPs from single ’units’ based on assumptions of how spike waveforms correlate with different neuronal sources. Additionally, when experimental conditions result in changes to eAP waveforms, spike sorting routines may have difficulty correlating eAPs from multiple neurons at single electrodes before and after such waveform changes. We present here a novel, empirical method for unambiguously isolating eAPs from individual, uniquely identifiable neurons, based on automated multi- point detection of action potential propagation. This method is insensitive to changes in eAP waveform morphology because it makes no assumptions about the relationship between spike waveform and neuronal source. Our algorithm for automated detection of action potential propagation produces a ’fingerprint’ that uniquely identifies those spikes from each neuron. By unambiguously isolating eAPs from multiple neurons in each recording, on a range of platforms and experimental preparations, our method now enables high-content screening with contemporary MEAs. We outline the limitations and strengths of propagation-based isolation of eAPs from single neurons and propose how our automated method complements spike sorting and could be adapted to in vivo use.
Silicone Oil-Induced Glaucomatous Neurodegeneration in Rhesus Macaques
Authors: Moshiri Ala , Fang Fang , Zhuang Pei , Huang Haoliang , Feng Xue , Li Liang , Dalal Roopa , Hu Yang 
Published: June 2022

AbstractPreviously, we developed a simple procedure of intracameral injection of silicone oil (SO) into mouse eyes and established the mouse SOHU (SO-induced ocular hypertension under-detected) glaucoma model with reversible intraocular pressure (IOP) elevation and significant glaucomatous neurodegeneration. Because the anatomy of the non-human primate (NHP) visual system closely resembles that of humans, it is the most likely to predict human responses to diseases and therapies. Here we replicated the SOHU glaucoma model in rhesus macaque monkeys. All six animals that we tested showed significant retinal ganglion cell (RGC) death, optic nerve (ON) degeneration, and visual functional deficits at both 3 and 6 months. In contrast to the mouse SOHU model, IOP changed dynamically in these animals, probably due to individual differences in ciliary body tolerance capability. This acute NHP glaucoma model closely recapitulates the major features of glaucomatous neurodegeneration in humans, and is therefore suitable for studying the pathology of primate RGC/ON, assessing experimental therapies for neuroprotection and regeneration, and therefore for translating relevant findings into novel and effective treatments for patients with glaucoma and other neurodegenerations.
A kinesin mediates VEGFR2 recycling and regulates VE-cadherin phosphorylation, essential for vascular permeability
Authors: Cho Hyun-Dong , Zhou Christopher , Tu Kayeman , Nguyen Tara , Sarich Nicolene A. , Yamada Kaori H. 
Published: June 2022

AbstractExcessive vascular endothelial growth factor-A (VEGF-A) signaling induces vascular leakage and angiogenesis in diseases. VEGFR2 trafficking to the cell surface, mediated by kinesin-3 family protein KIF13B, is essential to respond to VEGF-A in inducing angiogenesis. However, the precise mechanism of how KIF13B regulates VEGF-induced signaling and endothelial permeability is unknown. Here we show that KIF13B-mediated recycling of internalized VEGFR2 through Rab11-positive recycling vesicle regulates VE-cadherin phosphorylation and endothelial permeability. Phosphorylated VEGFR2 at the cell-cell junction was internalized and associated with KIF13B in Rab5-positive early endosomes. KIF13B mediated VEGFR2 recycling through Rab11-positive recycling vesicle, and inhibition of this recycling attenuated phosphorylation of VEGFR2 at Y951, Src, and VE-cadherin at Y685, which are necessary for endothelial permeability. Failure of VEGFR2 trafficking to the cell surface induced accumulation and degradation of VEGFR2 in lysosomes. Furthermore, in the animal model of wet age-related macular degeneration (AMD), inhibition of KIF13B-mediated VEGFR2 trafficking also mitigated vascular leakage. Thus, the present results identify the fundamental role of VEGFR2 recycling to the cell surface in mediating vascular permeability, suggesting a promising strategy for mitigating vascular leakage associated with inflammatory diseases.
Modeling membrane curvature generation using mechanics and machine learning
Authors: Malingen S. A. , Rangamani P. 
Published: June 2022

AbstractThe deformation of cellular membranes regulates trafficking processes, such as exocytosis and endocytosis. Classically, the Helfrich continuum model is used to characterize the forces and mechanical parameters that cells tune to accomplish membrane shape changes. While this classical model effectively captures curvature generation, one of the core challenges in using it to approximate a biological process is selecting a set of mechanical parameters (including bending modulus and membrane tension) from a large set of reasonable values. We used the Helfrich model to generate a large synthetic dataset from a random sampling of realistic mechanical parameters and used this dataset to train machine learning models. These models produced promising results, accurately classifying model behavior and predicting membrane shape from mechanical parameters. We also note emerging methods in machine learning that can leverage the physical insight of the Helfrich model to improve performance and draw greater insight into how cells control membrane shape change.
Construction 4.0 technologies and applications: a systematic literature review of trends and potential areas for development
Authors: Statsenko Larissa , Samaraweera Aparna , Bakhshi Javad , Chileshe Nicholas 
Published: June 2022

Purpose
Based on the systematic literature review, this paper aims to propose a framework of Construction 4.0 (C4.0) scenarios, identifying Industry 4.0 (I4.0) enabling technologies and their applications in the construction industry. The paper reviews C4.0 trends and potential areas for development.

Design/methodology/approach
In this research, a systematic literature review (SLR) methodology has been applied, including bibliographic coupling analysis (BCA), co-citation network analysis of keywords, the content analysis with the visualisation of similarities (VOSviewer) software and aggregative thematic analysis (ATA). In total, 170 articles from the top 22 top construction journals in the Scopus database between 2013 and 2021 were analysed.

Findings
Six C4.0 scenarios of applications were identified. Out of nine I4.0 technology domains, Industrial Internet of Things (IIoT), Cloud Computing, Big Data and Analytics had the most references in C4.0 research, while applications of augmented/virtual reality, vertical and horizontal integration and autonomous robotics yet provide ample avenues for the future applied research. The C4.0 application scenarios include efficient energy usage, prefabricated construction, sustainability, safety and environmental management, indoor occupant comfort and efficient asset utilisation.

Originality/value
This research contributes to the body of knowledge by offering a framework of C4.0 scenarios revealing the status quo of research published in the top construction journals into I4.0 technology applications in the sector. The framework evaluates current C4.0 research trends and gaps in relation to nine I4.0 technology domains as compared with more advanced industry sectors and informs academic community, practitioners and strategic policymakers with interest in C4.0 trends.
Hardware implementation of interconnection and damping assignment passivity-based control for BLDC motor using microcontroller
Authors: Astik Mitesh B. , Shah Dhruv B. , Bhatt Praghnesh , Bhalja Bhavesh R. , Modha Paresh R. 
Published: June 2022

PurposeThe purpose of this paper is to develop a generalized observer and controller for brushless direct current (BLDC) motor to make the system more robust for parameter variations, load torque and speed tracking.Design/methodology/approachA robust interconnection and damping assignment passivity-based control (IDA-PBC) technique for BLDC motor is introduced in this paper. The IDA-PBC is used to obtain the reference voltages for pulse width modulation (PWM) control. The immersion and invariance (I&I) observer is used to estimate the load torque and speed of the BLDC motor. At the time of starting, the motor rotates in arbitrary direction, and sometimes, because of the cogging action, it may take a huge current. Therefore, a new start-up method is proposed for the BLDC motor, which maintains the alignment of the rotor.FindingsFrom the simulation and experimental results, it can be seen that the proposed controller and observer satisfactorily work for parameter variations, load torque and speed tracking.Originality/valueThe authenticity of the proposed technique is tested experimentally on two different BLDC motors using low-cost 32-bit STM32F407VG microcontroller. The response of the proposed technique is evaluated by changing motor parameters such as stator resistance, inductance, flux linkage constant and torque constant.
Review and design of modular multilevel inverter with modified multicarrier PWM techniques for solar PV applications
Authors: Gnanavel Chinnaraj , Vanchinathan Kumarasamy 
Published: June 2022

Purpose
These implementations not only generate excessive voltage levels to enhance the quality of power but also include a detailed investigating of the various modulation methods and control schemes for multilevel inverter (MLI) topologies. Reduced harmonic modulation technology is used to produce 11-level output voltage with the production of renewable energy applications. The simulation is done in the MATLAB/Simulink for 11-level symmetric MLI and is correlated with the conventional inverter design.

Design/methodology/approach
This paper is focused on investigating the different types of asymmetric, symmetric and hybrid topologies and control methods used for the modular multilevel inverter (MMI) operation. Classical MLI configurations are affected by performance issues such as poor power quality, uneconomic structure and low efficiency.

Findings
The variations in both carrier and reference signals and their performance are analyzed for the proposed inverter topologies. The simulation result compares unipolar and bipolar pulse-width modulation (PWM) techniques with total harmonic distortion (THD) results. The solar-fed 11-level MMI is controlled using various modulation strategies, which are connected to marine emergency lighting loads. Various modulation techniques are used to control the solar-fed 11-level MMI, which is connected to marine emergency lighting loads. The entire hardware system is controlled by using SPARTAN 3A field programmable gate array (FPGA) board and the least harmonics are obtained by improving the power quality.

Originality/value
The simulation result compares unipolar and bipolar PWM techniques with THD results. Various modulation techniques are used to control the solar-fed 11-level MMI, which is connected to marine emergency lighting loads. The entire hardware system is controlled by a SPARTAN 3A field programmable gate array (FPGA) board, and the power quality is improved to achieve the lowest harmonics possible.
Stability analysis of two port renewable energy interface for telecom applications
Authors: V. Rajini , Amutha W. Margaret 
Published: June 2022

Purpose
The purpose of this paper is to carry out a detailed analysis of two port converter fed by Solar and wind sources during different operational modes by small signal modelling. The converter is fully characterized and simulated using Matlab/Simulink. The voltage and current waveforms along with their corresponding expressions describing the converter operation are presented in detail. Then the DC-averaged equivalent topology is derived using circuit averaging technique. A complete derivation of the power stage transfer functions relevant to the capacitor voltage loop, such as capacitor voltage to solar voltage and inductor current to wind input voltage is obtained.

Design/methodology/approach
Stability analysis is used to analyze the small deviations around the steady-state operating point which helps in modeling the closed loop converter parameters. This paper presents the analysis, modeling and control of two port Cuk-buck converter topology.

Findings
Based on the results, a control strategy is designed to manage the energy flow within the system. A lab-level prototype for Cuk-buck converter with PWM controller is implemented and tested under various input conditions to study the performance of the converter during seasonal changes. The simulation and experimental results showed that effective operation and control strategy of the hybrid power supply system managed to be achieved alongside its feasible outputs.

Practical implications
This analysis can be extended to all power electronic converters and will be useful for the design of controllers.

Social implications
An appropriate control design plays a key role in enhancing the overall performance of the system. Hence, this paper is intended to present in detail the small signal modeling of the Cuk-buck converter along with the control design for all the switching modes.

Originality/value
Though this type of converter topology has been discussed widely in literature, very scarce literature is available related to modeling and control design of the converter. A state-space averaging model of the converter followed by a type-II compensator design is described, and prototype design and experimental results are also presented.
Research on circuit analysis and optimization of wireless power transmission system with embedded coil
Authors: Liu Han , Yang Guojin , Wang Rong 
Published: June 2022

Purpose
The wireless power transmission (WPT) system with an embedded coil will achieve a more flexible charging operation and higher system efficiency. However, the comprehensive analysis considering cross-coupling for WPT with embedded coil is rarely investigated. This study aims to improve the system efficiency of WPT with the embedded coil based on circuit analysis and optimization of embedded coil loops.

Design/methodology/approach
The circuit model of WPT system with the non-resonant compensated embedded coil is developed by taking the cross-coupling of all coils and the circuit compensation degree of the embedded coil into consideration. On the basis of system characteristics analysis, optimization of embedded coil position and non-resonant compensation are proposed to improve the efficiency of WPT system with embedded coil. Experimental studies demonstrate the correctness of theoretical research.

Findings
The WPT system with embedded coil designed by optimizing the position and non-resonant compensation achieves higher efficiency than those of the system with two-coil mode and the three-coil system with a resonant compensated embedded coil.

Practical implications
A WPT system with embedded coil could be more efficient by using a non-resonant compensated coil embedded into the buffer material of the storage box for sophisticated electrical equipment.

Originality/value
The cross-coupling between all coils is considered in circuit analysis for WPT system with embedded coil. Optimization of the position and non-resonant compensation of embedded coil achieves higher efficiency.
Green intellectual capital and green supply chain integration: the mediating role of supply chain transformational leadership
Authors: Xi Mengjie , Fang Wei , Feng Taiwen 
Published: June 2022

PurposeDrawing upon social capital theory, this research aims to explore the influence of three dimensions of green intellectual capital (GIC) (i.e. green human capital [GHC], green structural capital and green relational capital) on green supply chain integration (GSCI) (i.e. green supplier, internal and customer integration), and the mediating effect of supply chain transformational leadership (SCTL).Design/methodology/approachTo verify the hypothesized relationships, the authors conduct hierarchical regression analysis and bootstrapping method with two-waved survey data collected from 317 Chinese manufacturing firms.FindingsThe findings suggest that both green structural and relational capital positively influence three dimensions of GSCI, while GHC only positively affects green internal and customer integration. In addition, SCTL mediates the impacts of green structural and relational capital on three dimensions of GSCI and mediates the impacts of GHC on green supplier and internal integration.Originality/valueThis research contributes to the GSCI literature and practice by deeming GIC as an intangible resource that can enhance GSCI and revealing the mediating role of SCTL.
Research priorities relating to communication and swallowing for people with learning disabilities across the lifespan
Authors: Chadd Katie , Longhurst Lauren , Kulkarni Amit , Simpson Jaya , Pagnamenta Emma , Brettell Fiona , Money Della , Dowty Rosie , Wallinger Josephine , Bangera Sai , Palmer Rebecca , Joffe Victoria 
Published: June 2022

Purpose
This research priority setting partnership (PSP) aims to collaboratively identify the “top ten” research priorities relating to communication and swallowing for children and adults with learning disabilities, across the lifespan in the UK, using a modified James Lind Alliance approach.

Design/methodology/approach
A steering group and reference group were established to oversee the PSP. A survey of speech and language therapists (SLTs) resulted in 157 research suggestions. These were further developed into 95 research questions through a multi-stakeholder workshop. Questions were prioritised via an online card-sort activity completed by SLTs, health-care or education professionals and carers. Research questions were analysed thematically. Ten adults with learning disabilities were supported to assign ratings to themes reflecting their prioritisation. The top ten research priorities were identified by combining results from these activities.

Findings
The top ten research priorities related to intervention, outcome measurement and service delivery around communication and dysphagia.

Originality/value
To the best of the authors’ knowledge, this is the first UK-wide research PSP on learning disabilities and speech and language therapy across the lifespan. It uses a novel approach to incorporate the preferences of people with learning disabilities in the prioritisation.
Congenital curved nail of the fourth toe: Report of three cases and review of the literature
Authors: Hirata Yoshiko , Shiiya Chihiro , Miyamoto Julia , Saito Masataka 
Published: June 2022

AbstractCongenital curved nail of the fourth toe (CNFT) is a rare disorder in which the nail plate of the fourth toe is deformed as it curves toward the sole of the foot. The cause is still unknown, but the congenital deformity of the nail plate is thought to be due to shortening of the terminal phalanx and hypoplasia of soft tissue of the fourth toe. Here, we report three typical cases who presented congenital curving nail on both their fourth toes. Their X‐ray showed that the distal phalanges of the fourth toes were short. Thus far, 19 cases of CNFT were reported in English literature. Interestingly, almost all cases have been from Asia (18 out of 19). The majority of the cases were bilateral and asymptomatic. Tenderness was seen in eight cases, which was caused by the pressure of the nail plate on the skin or ingrown nail. Treatment is basically unnecessary for the deformity, but it is important to teach safe and appropriate nail clipping methods to avoid pain. We can easily diagnose CNFT because of the characteristic clinical presentation and should provide appropriate advice on the nail care from early stage.
Community science reveals links between migration arrival timing advance, migration distance and wing shape
Authors: Chu Jonathan J. , Gillis Daniel P. , Riskin Shelby H. 
Published: June 2022

AbstractSubstantial global data show that many taxa are shifting their phenologies in response to climate change. For birds, migration arrival dates in breeding regions have been shifting earlier, and there is evidence that both evolutionary adaptation and behavioural flexibility influence these shifts.As more efficient flyers may be able to demonstrate more flexibility to respond to changing conditions during migratory flight, we hypothesize that differences among passerine species in flight efficiency, as reflected by morphology, may be associated with the magnitude of shifts in arrival date in response to climate warming.We applied a logistic model to 18 years of eBird data to estimate mean arrival date for 44 common passerines migrating to northeast North America. We then used linear mixed‐effects models to estimate changes in mean arrival date and compared these changes to morphological proxies for flight efficiency and migratory distance using phylogenetic generalized least squares models.On average, passerine species shifted their arrival dates 0.120 days earlier each year, with 27 of the 44 species shifting to significantly earlier arrival times, and two shifting to significantly later ones. Of the 15 species with non‐significant shifts, 13 trended toward earlier arrivals. Longer migration distances and higher wing aspect ratios were associated with greater shifts toward earlier arrivals. Migration distance and aspect ratio were also significantly correlated to each other.This suggests that changes in arrival date are affected by factors pertaining to migratory flight over long distances namely, flight efficiency and migration distance. These traits may be able predict the magnitude of arrival date shift, and by extension identify species that are most at risk to climate change due to inflexible arrival timing.