Miracle-dz/UniFAR-FTUs huggingface dataset:
Coordination Process and Network Centrality in ISGI Airport's Wayfinding Project

Coordination is integral to operational efficiency of construction projects. Coordination process relies on managing dependent activities and the structural centrality in social networks is strategic to project actor’s management activity. This study aims to explore the effects of network centrality on coordination performance. Network centrality concepts and coordination theory are examined via e-mail communication data of Istanbul Sabiha Gokcen International Airport’s (ISGIA) New Terminal Building Wayfinding and Signage Design Project (WSDP) actors. E-mail data mining for identifying different coordination dependencies is derived from the constructs of Malone’s (1988) coordination theory and used to measure the actors’ coordination scores. Social network matrix of information exchange network is constructed to calculate degree, betweenness and closeness centrality measures. ISGIA data analysis suggests a significant relationship between out-degree, outcloseness centrality and coordination. Findings highlight that out- network centralities support the ability of an actor to coordinate the dependent actions of other project actors; and the design and construction practices rely on the central position in a network in mapping effective coordination processes.
Development of Poly-NIsopropylacrylamide Surfaces for the Selection of Swine Sperm

The reproductive efficiency of pig farms is directly correlated with the fertility of the boars. The aim of this work was to develop polymeric materials that can be used as a platform to select a subpopulation of sperm with better cell physiological parameters. Polymeric hydrogels composed of Poly-N-isopropylacrylamide with different positive charges given by copolymerization with (3-acrylamidopropyl) trimethylammonium chloride (APTA, 5-10-15%), were synthesized. Subsequently, the interaction between the sperm cells and the polymeric surfaces was analyzed in TALP medium. Release of the spermatozoa from the polymeric surfaces was induced by changing to Ca2+ free media. Sperm motility, cell viability, plasma membrane and acrosome integrity were evaluated. The results indicated that a higher percentage of swine sperm attached to PNIPAM co-15% APTA hydrogels (62.86±3.33%). Ninety seven percent (97.19±1.45 %) of the sperm released from the PNIPAM co-15%APTA surfaces were viable (p<0.05 vs unbound population and raw semen), with acceptable motility (58.89±1.28%) and with intact plasma and acrosomal membranes (69±1.2% and 98.5±0.65% respectively). These results indicate that hydrogels can be used to select boar sperm with high viability and mobility for use in assisted reproductive techniques.
Overview of Channel Allocation Algorithms

Channel allocation is one of many ways to reduce interference in a cellular network. Reduced interference leads to increase in capacity and throughput of the system and hence good channel allocation can lead to more effective use of the spectrum. Apart from reducing interference, channel allocation algorithms can also be used to adapt to traffic changes in a network, and together with reduced interference, the traffic that can be supported is higher. In order to select efficient algorithm for solving channel allocation problem, channel allocation algorithms are introduced and evaluated in this paper.
12962_Serological markers of gluten sensitivity in_GOLD VoR

OBJECTIVES: To evaluate serological markers of gluten sensitivity in conjunction with cholecystokinin measurement in Border terriers with gall bladder mucocoeles. MATERIALS AND METHODS: Medical records from two referral hospitals were obtained between 2011 and 2019 to identify Border terriers with gall bladder mucocoeles, non-Border terriers with gall bladder mucocoeles and control Border terriers with non-biliary diseases. Enzyme-linked immunosorbent assays were performed on stored fasted serum samples for anti-gliadin IgG, anti-canine transglutaminase-2-IgA autoantibodies and cholecystokinin. Statistical analysis was performed using the KruskallWallis test to identify differences between the groups. RESULTS: Fifteen Border terriers with gall bladder mucocoeles, 17 non-Border terriers with gall bladder mucocoeles and 14 control Border terriers with non-biliary diseases were recruited. Median transglutaminase-2-IgA autoantibodies in Border terriers with gall bladder mucocoeles was 0.73 (range: 0.18 to 1.67), which was significantly greater than in control Border terriers at 0.41 (0.07 to 1.14). Median cholecystokinin concentration in Border terriers with gall bladder mucocoeles was 13 pg/mL (6 to 45 pg/mL), which was significantly lower than in control Border terriers at 103 pg/mL (9 to 397 pg/mL). There was no difference in the anti-gliadin IgG between these groups. There was no difference observed in the non-Border terriers with gall bladder mucocoeles with either of the other groups. CLINICAL SIGNIFICANCE: Reduced cholecystokinin and increased transglutaminase-2-IgA autoantibodies was detected in Border terriers with gall bladder mucocoeles; which is in part homologous to gall bladder disease identified in human coeliac disease. The results suggest an immunological disease with impaired cholecystokinin release may be affecting gall bladder motility and possibly contributing to mucocoele formation in Border terriers.
Strategic route planning using informed best-first search

An approach to strategic-route planning that uses ordered-graph search as the basis for the route planner is described. The heuristics provide search guidance. Selection of heuristics determines worst-case solution quality, which may be optimal, near optimal, or acceptable. Heuristic strength also determines the amount of memory, time, and other resources required to perform the search. Therefore, given the specific problem requirements, and available resources, the most efficient search methodology may be selected. This selection may be accomplished at run-time to provide acceptable real-time route-planning performance. The planner performs three major functions: (1) gaming area processing, (2) heuristic flight-path development, and (3) flight-path optimization. <<ETX>>
Teaching Planning to City Planning Students. An Argument for the Studio / Workshop Approach

The studio / workshop was largely aban doned as a pedagogical device in city planning curricula during the late 1960s It has now been reintroduced, somewhat tentatively, in number of places The fun damental reason for this seems to be the recognition that urban studies and urban planning are not synonymous Teaching the two as if they are fails to recognize that planners plan This paper is an argument for the studio / workshop as an important means for providing planning students with an educational environment in which many of the basic skills that are central to the creative act of planning can be learnt and / or tested. In designing studio / workshop courses the lessons of the past must be borne in mind Recent advances in planning theory and methods need to be incorporated into the studio experience if it is to enhance the student's understanding of the planning process At the same time, the limitations of the studio / workshop must be recognized. This paper is offered as an invitation to the establishment of a dialogue among planning educators While there is some empirical evidence to support the arguments presented here the data base on which it draws is largely an anecdotal one
Short term ride through capabilities for direct frequency converters

Many solutions to provide continuous operation of adjustable speed drives (ASDs) during power grid disturbances are proposed, but they are all applied to DC-link ASD. In this paper a new solution to provide limited ride-through operation of a scalar controlled direct frequency converter (DFC) for a duration of hundreds of milliseconds, without any hardware modification, is presented. During the ride-through operation, the drive is not capable of developing torque or controlling the motor flux. By recovering the necessary power to feed the control hardware, the DFC is able to keep the ASD operating. When the power grid disturbance disappears, the DFC is also able to accelerate the motor from nonzero speed and flux by initializing the modulator with the estimated frequency and initial voltage vector angle. The duration of the ride-through operation depends on the initial motor flux, speed level, rotor time constant, load torque and inertia.
Functionalized bio‐adsorbents for removal of perfluoroalkyl substances: A perspective

Poly‐ and perfluoroalkyl substances (PFAS) are known as “forever chemicals” due to their ubiquitous persistence in the environment, and their negative human health effects. Among them, short‐chain PFAS are of increasing concern due to their high solubility and mobility in water, while possessing persistency and toxicity nature like their longer‐chain analogs. The most common method for PFAS removal from water is by sorption with activated carbons or ion exchange resins, but these adsorbents only exhibit limited removal efficiency against short‐chain PFAS, and they require frequent replacement leading to high operational cost. Here we review and discuss the potential of using bio‐adsorbents, which can be derived from common biomass feedstocks, as low‐cost alternatives to traditional adsorbents, while these materials can also possess good removal efficiency against short‐chain PFAS. We further provide the perspective on the designs of low‐cost, activated bio‐adsorbent systems that can be implemented for effective removal of short‐chain PFAS.
Few-leaf Learning: Weed Segmentation in Grasslands

Autonomous robotic weeding in grasslands requires robust weed segmentation. Deep learning models can provide solutions to this problem, but they need to be trained on large amounts of images, which in the case of grasslands are notoriously difficult to obtain and manually annotate. In this work we introduce Few-leaf Learning, a concept that facilitates the training of accurate weed segmentation models and can lead to easier generation of weed segmentation datasets with minimal human annotation effort. Our approach builds upon the fact that each plant species within the same field has relatively uniform visual characteristics due to similar environmental influences. Thus, we can train a field-and-day-specific weed segmentation model on synthetic training data stemming from just a handful of annotated weed leaves. We demonstrate the efficacy of our approach for different fields and for two common grassland weeds: Rumex obtusifolius (broad-leaved dock) and Cirsium vulgare (spear thistle). Our code is publicly available at https://github.com/RGring/WeedAnnotator.
Structured PDMS Foil used as Active Element for a Biomimetic Fluid Transporter

To transport fluids along surfaces, a new type of pneumatically actuated fluid transporter is introduced. The biomimetic approach is based on the transportation principle of fluids by cilia or comb-row arrays due to the generation of metachronal waves. Rows of PDMS flaps, which mimic comb-row, are asymmetrically positioned on flexible membranes. Each membrane is deflected by applying a defined pressure profile to achieve a metachronal wave on the surface. The simulations of the membrane behavior as well as a description of the concept by applying metachronal waves to the artificial comb-row arrays are presented. In the result section we present the mechanical behavior and some transport results.
Post-feminist, post-race and post-closet discourses in Critical Studies in Media Communication from 2000-2020

Abstract This literature review examines 50 scholarly works published in the journal of Critical Studies in Media Communication (CSMC) from 2000 to 2020. Each CSMC article has been selected because it employs post-feminist, post-race and/or post-closet as categories to classify media discourse. The publication of 50 articles, comprising 9.8% of research articles in CSMC during this timeframe, testifies to the importance of understanding post- discourses as an analytically and socially significant phenomenon. Summarizing the emergence, antecedents and definitions of each discourse as outlined by CSMC authors, this literature review uniquely maps recurring themes within these 50 articles and across three post- discourses, including: relegating social inequalities to the past; containing an imprint of mainstream civil rights movements while fundamentally reconfiguring them; framing solutions to widespread structural inequalities in terms of individual empowerment; flattering privileged subjects by constituting them as morally good, innocent and caring toward marginalized people; favoring marginalized subjects who perform their empowerment in ways that disavow sexism, racism and homophobia in the present; and holding marginalized groups responsible for contemporary sexism, racism and homophobia. With the aim of enabling students and scholars to better identify and challenge post- discourses in media, I provide an overview of how CSMC authors use post-feminist, post-race and post-closet to categorize media discourse and reveal how post- logics re-center privileged subjects and reassert sexism, racism and homophobia, often in violent and dire terms.
Flow and force inducement using micron size dielectric barrier discharge actuators

Micron size dielectric barrier discharge actuators, designed for minimal footprint area and weight penalty, show a wall jet up to 2.0 m/s consuming 15 W/m of electrode. A torsional balance measures force up to 3 mN/m of electrode and demonstrates equivalent “thrust effectiveness” (induced force/power) to macroscale actuators. Compared with reported macroscale data, the microscale actuator shows a 31% increase in energy conversion efficiency. Per unit actuator mass, both the force and the velocity induced by microscale actuators show an order of magnitude (22.1 and 18.5 times, respectively) increase over macroscale actuators, making them suitable for distributed flow control applications.
Privacy and personalisation in a smart space for learning

Adaptive learning systems typically involve learner profiles with sensitive information and activities that might breach learner's privacy, such as tracking, profiling or collaborative filtering. In this paper, we discuss privacy aspects of personalisation and adaptation in smart spaces for learning. A smart space for learning is a system for mediation of learning services, which is being developed in the EU IST ELENA project. We present privacy threats and requirements in smart spaces for learning with focus on a learner, we model learner profile data that are necessary for privacy protection, and propose privacy-enhancing technology based solutions.
Prognostic Model Construction and Immune Microenvironment Analysis of Breast Cancer Based on Ferroptosis-Related lncRNAs

Purpose To construct a prognostic model of breast cancer using ferroptosis-related lncRNAs and explore novel therapeutic targets. Materials and Methods A prognostic characteristic model based on differential expression of ferroptosis-related lncRNAs in breast cancer was established based on TCGA data. Results Eleven ferroptosis-related lncRNAs associated with breast cancer prognosis were identified. Kaplan–Meier analysis suggested that high-risk lncRNA signatures correspond to a poor prognosis. The AUC of the signature lncRNAs was 0.682, demonstrating that it is accurate in predicting BC prognosis. GSEA showed that ferroptosis-related lncRNAs in high-risk individuals are mainly enriched in cell cycle, cell adhesion and tumor pathways. Immunity and gene expression analysis revealed that APC co-inhibition, check-point, HLA, inflammation-promoting and T cell co-stimulation among others were significantly different between the high-and low-risk group. Three immune checkpoints were highly expressed in the high-risk group. Conclusion Ferroptosis-related lncRNAs can be used as a prognostic feature to construct a prognostic model of breast cancer, based on which early detection markers, therapeutic targets and anti-tumor immune microenvironment can be studied, and clinical treatment can also be instructive.
An Integrated Approach to Context-Sensitive Moral Cognition in Robot Cognitive Architectures

Acceptance of social robots in human-robot collaborative environments depends on the robots’ sensitivity to human moral and social norms. Robot behavior that violates norms may decrease trust and lead human interactants to blame the robot and view it negatively. Hence, for long-term acceptance, social robots need to detect possible norm violations in their action plans and refuse to perform such plans. This paper integrates the Distributed, Integrated, Affect, Reflection, Cognition (DIARC) robot architecture (implemented in the Agent Development Environment (ADE)) with a novel place recognition module and a norm-aware task planner to achieve context-sensitive moral reasoning. This will allow the robot to reject inappropriate commands and comply with context-sensitive norms. In a validation scenario, our results show that the robot would not comply with a human command to violate a privacy norm in a private context.
ORGANIZATIONAL AMBIDEXTERITY: AN EMPIRICAL EXAMINATION OF ORGANIZATIONAL FACTORS AS ANTECEDENTS OF ORGANIZATIONAL AMBIDEXTERITY

Ambidexterity broadly refers to an organization’s ability to pursue two disparate things at the same time. Ambidextrous firms are capable of exploiting existing competencies as well as exploring new opportunities with equal dexterity. Capacity to pursue both exploitative and exploratory orientation depends on combinations of contradictory organizational characteristics such as decentralizat ion, formalization, and connectedness. This study aims to explain organizational ambidexterity and organizational factors that are antecedents of ambidexterity in a theoretical way and to examine the impacts of these factors on organizationa l ambidexterity empirically. Data was obtained from private corporations operating in Kayseri (Turkey). Regression analysis was used to examine the relationship between organizational ambidexterity and contradictory organizational characteristics, and to test the research hypothesis. The results of regression analysis provide support for hypothesis.
Peak-Load Regulating Adequacy Evaluation in Wind Power Accessed System Considering the Correlation of Wind Farms

There is a certain degree of correlation between the outputs of different wind farms because of their geographic distribution in power grid. And the complementary effect can alleviate the adverse effects of peak-load regulation caused by the large-scale wind power integration. In this paper, Nataf transformation was used to establish wind speed samples of correlative wind farms to get correlative wind power. Based on this, the peak-load regulating adequacy was evaluated using Monte-Carlo method on IEEE-RTS system with wind farms. The result presents the quantitative analysis of the impact of correlative wind farms on peak-load regulating adequacy. And it improves the original peak-load regulating adequacy evaluation based on Monte-Carlo method, which has the relatively conservative results.
Physical and biological implications of accelerated aging on stereolithographic additive-manufactured zirconia for dental implant abutment.

PURPOSE This study aimed to comparatively investigate the effects of accelerated aging on the physical and biological features of zirconia manufactured by digital light processing (DLP) and conventional subtractive manufacturing (SM) with similar composition. METHODS Both the DLP- and SM-fabricated zirconia samples (7 mm × 7.5 mm × 1.5 mm) were grouped according to aging (134 °C, 0.2 MPa, 100% humidity) times, including 0 h, 5 h, and 10 h. Phase assemblage and surface topography of zirconia manufactured by different technologies were evaluated before and after aging. The biological effects of zirconia on human gingival fibroblast (HGF) cell events, including cell viability, proliferation, morphology and adhesion, were also evaluated by live/dead viability assay, cck-8 assay, scanning electron microscopy and confocal laser scanning microscopy respectively. RESULTS The DLP-fabricated zirconia showed a higher initial cubic phase content and rate of phase transformation than the SM-fabricated zirconia. Among the different aging time-based groups, the 5 h-aged group exhibited significantly lower sub-micron scale surface roughness compared with the other groups. Aging did not significantly alter cellular behavior in any zirconia type, except for minor changes in adhesive cell numbers recorded in an aging time/culturing time-dependent manner. In addition to small differences in cell alignment patterns and overall cell morphology, the two zirconia types presented comparable biological performance before and after aging. CONCLUSION Although the microstructure and surface characteristics of DLP-fabricated zirconia can be affected by autoclave aging, this newly manufactured zirconia is likely to maintain desirable long-term biocompatibility as an implant abutment material.
An SDN/ML-Based Adaptive Cell Selection Approach for HetNets: A Real-World Case Study in London, UK

Heterogeneous networks (HetNets) are one of the key enabling technologies for next-generation networks. They aim to provide high capacity, low installation cost, and distributed traffic loads. The cell selection issue is an open research problem in HetNets, due to the different characteristics of base stations and the existence of a large number of them. In this paper, a novel software-defined networking (SDN)/machine learning (ML)-based adaptive algorithm is proposed, called adaptive two-tier, based on the K-nearest neighbor (A2T-KNN) algorithm. It is designed for millimeter wave (mmWave)-based HetNets and it has the ability to adapt to the various movement features of moving vehicles, as well as the different characteristics of the base stations. A real-world case is considered in the center of London. Simulation results demonstrate that A2T-KNN achieves high prediction performance in association with different vehicle features and configuration information. It outperforms other related schemes in terms of average number of handovers by up to 45.83%. Moreover, it was found to enhance the average achievable downlink data rate and network energy efficiency achieved by vehicles by up to 17.18% and 16.86%, respectively.
A novel read-out IC allowing microbolometers to operate with high frame rate

This paper presents a new Read_out IC (ROIC) that uses two shared capacitances for integral and sampling. At similar power consumption and chip area, this ROIC architecture achieves a higher frame rate compared with the conventional architecture. A 384×288 uncooled microbolometer focal plane array (FPA) based on the proposed circuit was implemented on silicon using a 0.5 μm CMOS technology. Measurements show the proposed architecture enables the frame rate increase of 6.8% using the same master clock.