Miracle-dz/UniFAR-FTUs huggingface dataset:
Cytoskeletal Transport, Reorganization, and Fusion Regulation in Mast Cell-Stimulus Secretion Coupling

Mast cells are well known for their role in allergies and many chronic inflammatory diseases. They release upon stimulation, e.g., via the IgE receptor, numerous bioactive compounds from cytoplasmic secretory granules. The regulation of granule secretion and its interaction with the cytoskeleton and transport mechanisms has only recently begun to be understood. These studies have provided new insight into the interaction between the secretory machinery and cytoskeletal elements in the regulation of the degranulation process. They suggest a tight coupling of these two systems, implying a series of specific signaling effectors and adaptor molecules. Here we review recent knowledge describing the signaling events regulating cytoskeletal reorganization and secretory granule transport machinery in conjunction with the membrane fusion machinery that occur during mast cell degranulation. The new insight into MC biology offers novel strategies to treat human allergic and inflammatory diseases targeting the late steps that affect harmful release from granular stores leaving regulatory cytokine secretion intact.
Ankfy1 Is Involved in the Maintenance of Cerebellar Purkinje Cells

Purkinje cells are critical for the function of cerebellum. The degeneration of Purkinje cells leads to defects in motion control. We have found that Purkinje cells specifically express Ankfy1 protein during development and in adult. This protein seems to play minor functions during development as Ankfy1 knockout mice appear normal till adult. However, at 9-month-old, knockout mice showed abnormal cerebellum with reduced vermis size and developed defective motor function. Further investigation demonstrated that the cerebellum of the mutant mouse has lost most of its Purkinje cells, while other cerebellar cells remained largely normal. Our data suggested that the Ankfy1 might be important for the maintenance of cerebellar Purkinje cells.
Conceptualizing the context of collective action: an introduction

ABSTRACT What is ‘context’ and why does it matter? What are the different ways of conceptualizing the context of collective action? What are the trade-offs involved in choosing one conceptualization over another? With which explanatory strategies are these conceptualizations associated? This introduction addresses these questions and outlines the three conceptualizations of the relational context of collective action discussed in this special issue: field, space, and arena. In spite of some critiques, it argues that these three meso-level conceptualizations depart from a purely ‘movement-centric’ perspective and offer promising leads for analyzing the relationship between collective action and its environment.
A response to ‘On delays in the publication of excavation reports’ by P.J. Parr (PEQ 152.3, 181–83)

In a recent issue of this journal, the esteemed archaeologist Prof. Peter J. Parr (2020) published an editorial concerning the extended amount of time needed to publish excavation reports. As Prof. Parr detailed, his comments, which were meant to be controversial, were originally supposed to have appeared in the first volume of the final report on the excavations at Tell Nebi Mend/Qadesh (Parr 2015); instead, they were published in PEQ. These excavations, which Prof. Parr directed, were conducted for more than two decades, from 1975 to 1996, and the first volume, which deals with only a small part of the finds (mainly from the Neolithic Period), appeared in 2015, close to twenty years after the cessation of the excavations. Being fully aware of the long time that had passed until the first volume appeared, and noting criticisms that very few, in any, preliminary reports on the excavations had been published, Prof. Parr emphatically stated that, despite these criticisms, he did not feel that this was unacceptable. Rather, as opposed to apologizing for the extended amount of time that it took for the report to appear (as other excavators had done), and the lack of preliminary publications in the interim, Prof. Parr seems to believe that this is what is to be expected! Prof. Parr based his claims on the following points:
Developing a package for the provision of spiritual services in healthcare centres in Iran

ABSTRACT Spirituality has a signiﬁcant role in the individuals' physical and mental health, nevertheless health care professionals neglect these needs. This study was aimed at developing a package for the provision of spiritual services in healthcare centers. The study was conducted in two sections. In the review section, the papers related to the topic were selected among accredited scientific sites. In the qualitative section, the data were collected through Focused Group Discussions (FGDs) and individual interviews, and was analyzed using content analysis. The package was designed at two levels: basic and specialized. At basic services, teaching spiritual life style and at the level of specialized services, evaluation and spiritual history, spiritual counselling, and care and spiritual support were envisaged. For implementation of spiritual interventions, an “Implementation Steering Committee” is suggested to be established while the main stakeholders in the healthcare system and experts from the seminary are in attendance.
Pleasure in music and its relationship with social anhedonia (Placer por la música y su relación con la anhedonia social)

ABSTRACT The purpose of this study was to evaluate whether the inability to feel pleasure towards music — or musical anhedonia — is part of the psychological construct of anhedonia (DSM-5) or whether they are both independent constructs, as suggested by the field of cognitive neuroscience. To assess this objective, six unpublished musical compositions were created to evoke basic emotions. We analysed the level of arousal and valence in a sample of 153 music professionals and 303 students (M = 17.58 years, SD = 4.16) and were able to verify a high consistency between the results of both groups. By using a structural equation model, we subsequently observed a statistically significant high correlation (r = .63, p < .001) between the latent means of valence (pleasure evoked by musical fragments) and levels of social anhedonia, measured by the Anticipatory and Consummatory Interpersonal Pleasure Scale (ACIPS). Furthermore, social pleasure maintained inverse correlations with the emotions of negative valence (Anger, Fear and Disgust) provoked by musical fragments, which allowed us to conclude that musical anhedonia is strongly related to social anhedonia.
Social life cycle performance of additive manufacturing in the healthcare industry: the orthosis and prosthesis cases

ABSTRACT One of the most promising areas for additive manufacturing (AM) adoption is in the healthcare industry, through its ability to produce customized medical devices with personalized fit, feel and functionality. The shift from conventional manufacturing systems to AM implies several changes throughout the medical product’s life cycle phases, from workforce qualification to the relationship with customers. This study investigates the social impact of adopting AM in the medical devices industry. To this end, two case studies related to medical devices were developed: a prosthesis and an orthosis, by applying a social life cycle assessment (S-LCA) methodology. The methodology measures and compares performance and impact of developing, producing, and using the two devices produced by AM, and by conventional processes. The results show how the different stakeholders along the product life cycle stages are affected by the change in the manufacturing technology. Evidence of positive social impacts were found in the ‘Customers’, ‘Local community’ and ‘Society’ stakeholders. A negative social impact was found for the stakeholder ‘Value chain actors’. Furthermore, this study illustrates the suitability of the S-LCA methodology to pinpoint the benefits and negative impacts of AM in each case under study.
Diversity and abundance of large tree holes used by Tawny Owls Strix aluco in lowland temperate forests

ABSTRACT Capsule Tawny Owls Strix aluco used a wide variety of tree holes for roosting, but only a minority were used for nesting, which comprised those holes at greater heights in larger trees and with a flat base. Aims We aimed to determine the type and dimensions of tree holes used by Tawny Owls for roosting and nesting, including which tree species were the most important hole providers, and the density of tree holes available for Tawny Owls in forests of different age classes. Methods We conducted visual searches for all large tree holes within study plots, recorded their measurements and signs of use, comparing the features of used and unused holes. Data were collected in medium-aged and old-growth forests (Ukraine, Homilsha Forest, 750 ha, 10 seasons) and in primeval forest (Poland, Białowieża Forest, 150 ha, 2 seasons). Results Roosting holes came in a wide variety of shapes and sizes, frequently being very deep and with an uneven base. Hole entrances needed to be over 10 cm wide and the hollows more than 20 cm deep, presumably to enable owls to enter and evade predators. All nesting holes had a flat base and were located in larger trees, at greater heights than roosting holes. Old trees of low commercial timber value (European Hornbeam Carpinus betulus, Small-leaved Lime Tilia cordata, European Pear Pyrus communis) were the most important hole providers. Suitable holes were found in trees of at least 80 years old, and their abundance increased with tree age, exceeding 50 holes/km2 in the primeval forest. Conclusion Despite the abundance of suitable roosting holes, nesting holes remained a rare resource associated with larger, older trees. As tree species of low economic value were the main hole providers, these should be retained in forestry operations.
Irony and autism: a preliminary study of the impact of visual stimulus (Ironía y autismo: un estudio preliminar del impacto de los estímulos visuales)

ABSTRACT This study investigates whether autistic participants are able to respond in a similar way to neurotypical (NT) participants in a novel visual irony task presented in an app format, and whether their verbal abilities can affect its comprehension. Twenty British children between eight and 16 years old — nine of them with a diagnosis of Autism Spectrum Disorders, ASD, and 11 NT — completed the tasks. A second group also emerged due to their verbal IQ. Autistic children were able to understand the fundamental basis of irony presented in a visual format. This design, based on visual forced-choice response that shows all the information at once, would be a suitable format to focus the attention of autistic individuals on important details and therefore decrease the working memory load.
The relationship between nest location and breeding success in the colonial nesting Azure-winged Magpie Cyanopica cyanus breeding in Japanese Yew Taxus cuspidata tree plantations

ABSTRACT Capsule Azure-winged Magpies Cyanopica cyanus living in isolated plantations had higher nesting success away from habitat edges and lower breeding success away from conspecific nests. Aims The study aims to find the relationship between nest location and breeding success by measuring nest locations within two Azure-winged Magpie populations that breed in plantation environments with clear boundaries. Methods Two populations were selected in Gyeonggi-do, South Korea, with areas 11,392 m2 and 1,457 m2. These two plantations had a single species of tree, the Japanese Yew Taxus cuspidata, so breeding habitat was easily delineated. Breeding performance and breeding success were monitored daily. Distance between nests and distance to habitat edge were measured. Results Breeding success differed according to nest locations, and nests that were relatively distant from other neighbouring nests and that were closer to the edge of the breeding site had a higher risk of failure. Conclusions The results indirectly support Hamilton and Vine’s models, which assumed that individuals breeding close to the edge of the breeding group should have a higher risk of predation than those in the centre. It appears that the selection of nest location of Azure-winged Magpies may be affected by a social factor (i.e. colonial breeding in a cooperative breeding system) and an environmental factor (i.e. habitat edge effects).
Comparison of Aggression, Anxiety, Stress and Depression between Normal and Divorce Teenagers

ABSTRACT The aim of this study was a comparison of aggression, anxiety, stress and depression between normal and divorce teenagers. Statistical population of this study was teenagers of married (normal) and divorced group in Sanandaj city. The statistical sample of the normal teenagers was 71 persons and the divorce teenagers 70 persons who were chosen in this research with cluster sampling. In this study, we used the scale of depression, anxiety and stress (DASS) and the Buss and Perry Aggression Questionnaire. For analyzing data, we used MANOVA analysis. The results showed that there is significant difference between anxiety and aggression in normal and divorce teenagers.
MRI data-driven algorithm for the diagnosis of behavioural variant frontotemporal dementia

Introduction Structural brain imaging is paramount for the diagnosis of behavioural variant of frontotemporal dementia (bvFTD), but it has low sensitivity leading to erroneous or late diagnosis. Methods A total of 515 subjects from two different bvFTD cohorts (training and independent validation cohorts) were used to perform voxel-wise morphometric analysis to identify regions with significant differences between bvFTD and controls. A random forest classifier was used to individually predict bvFTD from deformation-based morphometry differences in isolation and together with semantic fluency. Tenfold cross validation was used to assess the performance of the classifier within the training cohort. A second held-out cohort of genetically confirmed bvFTD cases was used for additional validation. Results Average 10-fold cross-validation accuracy was 89% (82% sensitivity, 93% specificity) using only MRI and 94% (89% sensitivity, 98% specificity) with the addition of semantic fluency. In the separate validation cohort of definite bvFTD, accuracy was 88% (81% sensitivity, 92% specificity) with MRI and 91% (79% sensitivity, 96% specificity) with added semantic fluency scores. Conclusion Our results show that structural MRI and semantic fluency can accurately predict bvFTD at the individual subject level within a completely independent validation cohort coming from a different and independent database.
Vibrational analysis of molten poly(ethylene glycol)

The infrared absorption of poly(ethylene glycol) was measured in the molten state. Characteristic bands of the molten state were identified. Normal vibrations and frequency distributions were treated for various conformation models with CH2CH2O repeat units. The infrared absorption peaks of the molten state closely correspond to the frequency distribution peaks of the TGT conformation with gauche OCH2CH2O groups, although infrared bands due to trans OCH2CH2O groups are also observed. Vibrational assignments of the infrared bands and Raman lines were made on the basis of potential energy distributions.
Dynamic Analysis of Multimode Buck–Boost Converter: An LPV System Model Point of View

In dealing with the wide voltage range of energy storage components and fuel cell, multimode buck–boost converter (MBBC) serves as a versatile interfacing circuit with multimode operation capability. In this article, dynamic performance of MBBC is analyzed with consideration of converter operation under multiple modes, and a digital control design method is proposed for fast transient response. The dynamic analysis considers two influence factors, including “transition mode selection” and “close-loop control design. ” The influences of different Transition mode have been analyzed with the aid of linear parameter varying system, and a new Transition mode has been proposed for the minimum polytopic working region. In “close-loop control design,” the recovery time has been minimized with guaranteed robust stability. Compared with small-signal design method, the proposed method not only ensures large-signal stability across multiple working modes, but also offers new insight for Transition mode selection which is overlooked in existing MBBC dynamic analysis. The designed controller has been applied for three representative transition modes, including the first proposed “double-buck-clamping” mode and comparatively evaluated with existing small-signal PI design method.
RAN Engine: Service-Oriented RAN Through Containerized Micro-Services

Network slicing is considered to be the enabler for a coexistence of a multitude of services with heterogeneous requirements on a multi-tenant 5G infrastructure. In the core network, it has shown its potential in customizing and extending service-specific functionality beyond a mere configuration. In the radio access network (RAN) however, service customization and functionality extension remain a challenge due to the rigid and complex nature of the RAN and the fact that all services have to be mapped onto the scarce radio resources. In this article, we present the RAN service engine that allows services to customize and extend RAN functionality using containerized micro-services. This is achieved through micro-SDKs that abstract key RAN control endpoints, and which can then be used by the services to flexibly customize and extend the RAN in order to steer control plane behavior. Through these micro-SDKs, the engine can enforce isolation between services while multiplexing them efficiently onto the infrastructure. We also present a concrete implementation of the engine with its key micro-SDKs, and demonstrate the feasibility through a prototype for the MAC scheduling control endpoint, showing the versatility of the RAN engine.
Robustifying Dynamic Positioning of Crane Vessels for Heavy Lifting Operation

Construction crane vessels make use of dynamic positioning (DP) systems during the installation and removal of offshore structures to maintain the vessel's position. Studies have reported cases of instability of DP systems during offshore operation caused by uncertainties, such as mooring forces. DP “robustification” for heavy lift operations, i.e., handling such uncertainties systematically and with stability guarantees, is a long-standing challenge in DP design. A new DP method, composed by an observer and a controller, is proposed to address this challenge, with stability guarantees in the presence of uncertainties. We test the proposed method on an integrated cranevessel simulation environment, where the integration of several subsystems (winch dynamics, crane forces, thruster dynamics, fuel injection system etc.) allow a realistic validation under a wide set of uncertainties.
Improving Throughput of 5G Cellular Networks via 3D Placement Optimization of Logistics Drones

This paper addresses the congestion problem in cellular networks through the assistance of parcel delivery drones. Drones have the primary task of parcel delivery and a secondary task of acting as relay nodes (hop) to add extra capacity in a cellular network. Base transceiver stations in the cells can admit ground user equipment to communicate directly with the drone (device-to-device communications) through in-band signalling between them. This paper proposes a novel algorithm, called CARLO, which optimizes trajectory and altitude of the drones in order to deliver physical parcels, maximize network capacity and reduce network interference. Our simulation studies show that our solution improves the network throughput while the energy inefficiency of taking detour path to assist congested cells is kept to a minimum. Moreover, it is guaranteed that parcels are delivered before deadline.
Power based Single-phase PLL with in-loop Fix Delay Filter under Distortion

Precise voltage phase information is of great importance for grid-connected converter control. For single-phase system, product-type based Power Phase-Locked Loop (pPLL) has high order disturbs in phase detector when the grid voltage is distorted. To obtain zero steady state phase detected error, this paper presents a cascade fix delay filter applied in loop of pPLL. The configuration of cascade filter unit is analyzed, also the parameter design guidelines and digital implementation of the methods are provided. The simulation and experimental tests are carried out to verify the correctness and effectiveness of the filter.
Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles

This article describes an application of Non-linear Model Predictive Control algorithms on energy efficient control of fully electric vehicle cabin temperature and air quality. Since fully electric vehicles can not utilize waste heat from a powertrain (or there is not enough waste heat) as ICE vehicles do, it is necessary to employ advanced control approaches (especially for cabin heating) due to the possible mileage lost by using energy from the batteries for cabin conditioning. The basic idea behind this is to avoid the heat losses caused by excessive air exchange and to ensure a satisfactory air quality in combination with a user defined temperature. The Non-linear Model Predictive control algorithms were successfully implemented into an Infineon AURIX Tricore microcontroller and tested within a Processor in the Loop simulation.
Second Harmonic Generation in Polymer Photonic Integrated Circuits

Second harmonic generation is an efficient way to create coherent radiation at wavelengths that are not accessible with standard laser sources. In this work we demonstrate second harmonic generation from 1550 to 775 nm in a polymer photonic integrated circuit via the hybrid integration of a periodically poled lithium niobate crystal. The bulk crystal is inserted in an on-chip free-space section between two waveguide coupled GRIN lenses. Fiber to fiber conversion efficiencies were 0.03%/W for a continuous wave laser source and 100%/W for a femtosecond laser source. Furthermore, third and fourth harmonic light at 517 and 388 nm was observed.
Smart Parking Utilizing IoT Embedding Fog Computing Based on Smart Parking Architecture

Rapid population growth and skyrocketing demand of private transportation bloom the market of automakers worldwide. The concept of automated parking system under smart city arises with the availability of the technology like fast internet connections, offloading computational resources, IoT devices communicating various devices each other, to uplift the quality of life. Revolution of cloud computing and ease of this technology also open the door for better opportunities for smart parking where a system can be served from the remote area, but there is an issue with cloud computing for cost of operation and latency of the services. In urban cities there is rapid growth of population and there is advancement of automotive industries, there are lots of vehicles that are being used in all the cities which creates a lot of issues like road congestions, issue in parking spaces. This paper proposes the fog computing architecture to reduce the latency and efficiently utilise all the available technologies together by building fog computing architecture network which is a multi-tier structure where applications runs jointly, communicates and compute with each other. Smart parking has gain massive attention due to ease and outcome from those technologies are exponential. The role of Internet of Things and fog computing enable the platform to minimize the take duration for finding the parking space, this reduces the time and excess use of fuel and emission of CO2, these are the consequence of over and unmanaged vehicles in the urban areas and unmanaged parking areas.