cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7056626
title: EFAICTS final evaluations VanderLaan questionnaires synthesis

description: This excel file summarizes the Van-der-Laan questionnaires of the pilots who participated to the final evaluations of the EFAICTS project.
DOI: 10.5281/zenodo.7056952
title: EFAICTS final evaluations VanderLaan questionnaires synthesis

description: This excel file summarizes the Van-der-Laan questionnaires of the pilots who participated to the final evaluations of the EFAICTS project.
DOI: 10.5281/zenodo.7055657
title: Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models

description: Dataset of the paper "Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models" published on Energies [1]. [1] Lin, M., & Porté-Agel, F. (2019). Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models. <em>Energies</em>, <em>12</em>(23), 4574.
DOI: 10.5281/zenodo.7055656
title: Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models

description: Dataset of the paper "Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models" published on Energies [1]. [1] Lin, M., & Porté-Agel, F. (2019). Large-eddy simulation of yawed wind-turbine wakes: comparisons with wind tunnel measurements and analytical wake models. <em>Energies</em>, <em>12</em>(23), 4574.
DOI: 10.34740/kaggle/dsv/4172137
title: testrr
DOI: 10.5281/zenodo.7057006
title: Decomposition in roadsides in sweden

description: Decomposition of woven tea bags in roadsides between Umeå (Sweden) and Bergen (Norway).
description: Incorporated in the global dataset
DOI: 10.5281/zenodo.7057005
title: Decomposition in roadsides in sweden

description: Decomposition of woven tea bags in roadsides between Umeå (Sweden) and Bergen (Norway).
description: Incorporated in the global dataset
DOI: 10.6084/m9.figshare.20971828
title: seedlings data for population growth_csv

description: This dataset contains species density in the year 2021 and 2022. It includes the density of each species within a quadrat under four different fertilization treatments
DOI: 10.6084/m9.figshare.20970649
title: biomass data_csv

description: This dataset contains species density and total biomass in grams in the year 2021 of each species within a quadrat sown in two densities.
DOI: 10.5281/zenodo.7042492
title: Replication Package for ICSE 2023 submission "How Deep Learning Packages Form Supply Chain in PyPI: Types, Clusters, and Detachment"

description: This is the replication package for our ICSE 2023 submission <em><strong>How Deep Learning Packages Form Supply Chain in PyPI: Types, Clusters, and Detachment</strong></em>.
DOI: 10.5281/zenodo.7042491
title: Replication Package for ICSE 2023 submission "How Deep Learning Packages Form Supply Chain in PyPI: Types, Clusters, and Detachment"

description: This is the replication package for our ICSE 2023 submission <em><strong>How Deep Learning Packages Form Supply Chain in PyPI: Types, Clusters, and Detachment</strong></em>.
DOI: 10.5281/zenodo.7056972
title: Computational Screening Data of Transition Metal-Doped CdS for Photocatalytic Hydrogen Production

description: Data access for the paper publication.
DOI: 10.5281/zenodo.7056971
title: Computational Screening Data of Transition Metal-Doped CdS for Photocatalytic Hydrogen Production

description: Data access for the paper publication.
DOI: 10.34740/kaggle/dsv/4172184
title: YouTube Daily
DOI: 10.17632/y2jxf74jyv.1
title: LCMS dataset_Hepatic CYP2B10 is highly induced by binge ethanol

description: Untargeted Metabolomics via LCMS. Datasets include positive and negative ion modes for serum and liver tissue. The data represents the .d files (Agilent datafiles) that have been processed for retention time alignment, peak peaking, and abundance. These data were then analyzed using MetaboAnalyst (https://www.metaboanalyst.ca/MetaboAnalyst/home.xhtml) for multivariate analysis. The data was sum normalized, log transformed, and mean centered.
DOI: 10.17632/wms6gz8mcf.1
title: Supplementary Files 2022OdlingAngusMPhil

description: Supplementary Files for MPhil Thesis: Stress-Transfer Modelling of Gold Systems at the Obuasi Gold Deposit, Ghana
Cardiff University
DOI: 10.17632/sh7gf8jft5.1
title: Pro-aging effects of ACBP

description: Uncropped images from the Western Blot membranes presented in Figures 1 and 6 of the manuscript ACE-22-0589 : High plasma concentrations of acyl coenzyme A binding protein (ACBP) predispose to cardiovascular disease – evidence for a phylogenetically conserved pro-aging function of ACBP
DOI: 10.17632/g8cnrk58mv.1
title: Improving infant vaccination in urban slums with older women

description: Quantitative data testing effect of older women involvement in infant vaccination on infant vaccination timeliness and completion in Nigerian urban slum communities.
DOI: 10.17870/bathspa.20987713
title: Resource list on the tourism experience

description: This is a list of resources about tourism experience.
DOI: 10.18112/openneuro.ds002522.v1.0.1
title: Contrast Response Functions
DOI: 10.5281/zenodo.6984284
title: ExeterDigitalHumanities/lawforms: v1.0.1 Corrected Initial Release

description: This release corrects minor typographical errors in the original release.
DOI: 10.5281/zenodo.6984285
title: ExeterDigitalHumanities/lawforms: v1.0.1 Corrected Initial Release

description: This release corrects minor typographical errors in the original release.
DOI: 10.14457/tu.the.2021.540
title: Simulation of magnetic targeted drug delivery

description: Targeted Magnetic Drug Delivery (TMDD) is a promising approach that is relevant to multimodal cancer therapy. Therefore, it is important to develop mathematical models of TMDD to serve as a second opinion for medical practitioners. A majority of TMDD models represent a mixture of blood and nanoparticles as a one-phase solution. Therefore, the magnetic nanoparticles (MN) and the blood follow the same streamlines. The existing two-phase models are usually one-way coupled, i.e., the blood flow has a strong impact on the MN flow. However, the inverse impact of the MN on the dynamics of the blood is not included in the models. To eliminate these drawbacks, the MN in a blood vessel is simulated by a two-phase (solid-liquid) flow in a 2D rectangular channel. The problem is governed by two-way coupled momentum and temperature equations for the blood flow and the MN. The numerical procedure invokes the stream function–vorticity formulation and an efficient numerical method on a finite-difference grid. The general formulation for the effect of the magnetic field is that of Biomagnetic fluid Dynamics (BFD) which incorporates both principles of MagnetoHydroDynamics (MHD) and FerroHydroDynamics (FHD). The model, validated by experimental results, has been applied to analyze the formation of and the zones of TMDD, where the velocity of the blood flow is low and the velocity of the MN flow is high towards the magnet. Additionally, we analyze the formation of vortices relative to the magnetic force (MFs), the drag force (DF). The model is capable of simulating the (reverse) impact of the MN on the blood flow and evaluates the corresponding changes in the vorticity. The result shows that the MHD effect causes disturbance in blood flow. It reduces blood flow and minimizes the large vortices created by FHD. Moreover, the concentration of medical drugs is another essential result. These medications have the potential to harm healthy cells. Therefore, the effects of medical drugs have been evaluated against MN size. It analyzes the impact of the size and concentration of the MN on the temperature of the blood. The preceding models cannot simulate these important scenarios.
DOI: 10.14457/tu.the.2021.541
title: Cooperative tracking of vehicle platoons subjected to uncertain dynamics, external disturbance and bounded leader input

description: This thesis addresses three main issues in the design of distributed controllers for vehicle platoons, namely (i) suppressing the effects of uncertainty, (ii) guaranteeing stability, string stability, and consensus when the platoon is subjected to unknown external disturbances and time-varying bounded leader input and (iii) being applicable to both directed and undirected topologies. Two control approaches based on model reference control scheme are proposed, namely (i) distributed model reference adaptive control (DMRAC) and (ii) distributed model reference control (DMRC). The approaches are designed based on which issues are given more importance in the controller design. DMRAC consists of a reference model and a main control system. Cooperative state variable feedback control (CSVFB) is used as a reference control in the reference model. The main control system utilized CSVFB as a nominal control to track the leader state and a proposed adaptive term to suppress the effect of uncertainty in the inertial time lag and control effectiveness of the followers. Stability analysis shows that global tracking errors of followers with respect to the reference model and with respect to the leader are asymptotically stable. The states of all followers synchronize to both the reference model and leader states. Moreover, with the existence of unknown external disturbances, the global tracking errors remain uniformly ultimately bounded. DMRC consists of a cooperative tracking error reference as a virtual reference and a main control system. The virtual reference is designed based on CSVFB, while the main control system is designed using cooperative tracking error and cooperative disagreement error to attenuate the effects of unknown external disturbance and nonzero bounded leader input. The global disagreement error is shown to be uniformly ultimately bounded and input-to-state string stability (ISSS) through detailed stability analysis, such that the states of each follower synchronize to the leader states with bounded residual error. Performance verifications are conducted through simulations and validate the efficacy of DMRAC and DMRC for the vehicle platoons problem. Both controllers can be applied to vehicle platoon with both directed and undirected topologies. The directed topology must contain at least one spanning tree with the leader as a root node, while the undirected topology must be static and connected with at least one follower receiving information from the leader. Simulation results demonstrate that DMRC outperforms DMRAC when the leader moves with time-varying velocity, i.e., the state of each follower synchronizes to the leader and string stable.
DOI: 10.14457/tu.the.2021.542
title: Strategies to minimize construction delay: mathematical analysis

description: Construction project delay has become a menace contending with the construction sector opposing time, cost, and quality. It is a problem that thrives throughout the stages of the project thus debasing quality and performance. This study, which collates experts’ opinions from “Thai construction sector on the degree of influence of each key delay factors on the other, establishes the prominence (influence) level, dynamics, and impact of the controlling factors of construction delays on project schedule using a hybrid mathematical system (DEMATEL-SD modelling). Five key delay factors in this study include Design Error, Rework, Change Order, Design Change, and Productivity factors. DEMATEL analysis concludes that though all the factors are influencing but their influence levels differ. It is discovered that Rework is the most influencing factor of construction delay with a prominence value of 56.5134 and an influence degree of 20.1198%, and has mutual relationships with Design Error, Change Order, and Productivity. Design Error, which has a prominence value of 55.5492 and an influence degree of 20.1198%, is the second influencing factor, and has mutual relationships with Change Order, Rework, and Productivity. Change order is the third influencing factor with prominence value of 55.2156 and influence degree of 19.9990%. It influences Productivity, and has mutual relationships with Design Error, and Rework. Productivity is the fourth influencing factor with prominence value of 55.0712 and influence degree of 19.9467%. It has mutual relationships with Design Error and Rework. Design Change is the fifth influencing factor with a prominence value of 53.7428 and influence degree of 19.4655%. This factor is influenced by Rework and Productivity. System dynamics (SD) modeling is then employed with the DEMATEL analysis results, forming the so-called DEMATEL-SD model, to comprehensively explore the dynamics of the factors and their impact on project schedule. The simulation results reveal the importance of reducing Design Error in the pre-construction stage to minimize the magnitudes of Change Order, Design Change, and Rework during construction, which in turn, enhance the Productivity in the post-construction stage and reduce project delay in succession of time. Rework, Design Change, and Change Order must be closely monitored during the construction to ensure work productivity and on-time project completion. The results also reveal that experienced designers and uses of updated and integrated design software help reduce design errors, thus enhancing work performance in the long term. Other improvements, such as effective supervision during construction, payment system, contractor’s experience, owner’s decision system, good project management and cooperation key stakeholders, including owners, consultant, and contractors also assist in reducing the construction delay in the long term.
DOI: 10.14457/tu.the.2021.543
title: Factor influencing worker productivity on-site construction in Cambodia: Structural Equation Modelling

description: Construction is one of the important sectors for future living standards and creates a competitive business environment. Productivity is the key feature for construction industries which helps for growth and survival. In construction industry, improvement of productivity leads to Gross domestic product (GDP) growth. According to literature review, six categories and 17 items are extracted to be investigated in the context of Cambodia construction company. Focusing the factors that affecting worker productivity is crucial for improving the productivity performance of the sector. A structural equation modelling technique is used to analyze data collected via a questionnaire survey of 134 respondents consist of project managers, site manager, senior engineer and site engineer. Despite the limitations of the study, it is hoped that the research outcomes will significantly contribute to improve the worker productivity performance in the Cambodian construction industry for faster delivery of construction projects within time, lower cost and higher quality.
DOI: 10.14457/tu.the.2021.544
title: Product design and development for beer crate to enhance transportation cost and safety

description: Proper beverage packaging is one of the most significant factors which drive high quality of product protection during transportation. Especially, “Crate” has been introduced as a package or container for supporting bottles as glass beverage. For the recent design of the crate, gaps between bottles are the main issues which need to be eliminated. During transportation and load-unload activity, vibration and shock around or/and in between bottles might have a direct effect on the beverage quality. The impact or force distributed with high frequency or often enough causes the broken bottles. Proposed in this research is about the alternative design of a crate where the support devices are introduced to reduce force distributed around/in between two consecutive surfaces of two bottles where the gaps or spaces are eliminated. Product Design and Development (PDD) and Finite Element Analysis are applied for accomplishing task. For the force simulation, the different scenarios in static and dynamic platforms are raised where the three designs of crate are compared on each scenario testing; stacking, lifting and interference fit condition. The simulated results illustrated that the developed designs of crate (two versions of design); the crate-assembly style and the crate-fourteen platform could provide more slots for putting the bottles in; the number of glass bottles per crate of 8% and 16%, respectively. This set of results was compared to the existing design based on the same size – external shape consideration. Applying the additional inserts (supporters) could absorb the vibrations and shocks of beer glass bottles during transportation.
DOI: 10.14457/tu.the.2021.545
title: A damping-tunable chaotic snap system

description: A hyperjerk system described by a single fourth-order ordinary differential equation of the form x4dot =f(x3dot, x2dot, xdot, x) has been referred to as a snap system. A damping-tunable snap system, capable of an adjustable attractor dimension (DL) ranging from dissipative hyperchaos (DL &lt; 4 ) to conservative chaos (DL = 4), is presented for the first time, in particular not only in a snap system, but also in a four-dimensional (4D) system. Such an attractor dimension is adjustable by nonlinear damping of a relatively simple quadratic function of the form Ax^2, easily tunable by a single parameter A. The proposed snap system is practically implemented and verified by the reconfigurable circuits of field programmable analog arrays (FPAAs).
DOI: 10.14457/tu.the.2021.546
title: Preparation and characterization of the alternative binder for supercapacitor electrodes using the acid-catalyzed conversion of sugar

description: Binder is an additive used to promote cohesion and adhesion strength of a sheet of supercapacitor electrode. It allows an electrode to have good electronic conduction and energy storage performane. Typical binders are fluorinated polymer such as polytetrafluoroethylene (PTFE) and polyvinylidene difluoride (PVDF). In this work, we presented the environmentally friendly binder synthesized from sucrose and sulfuric acid which could replace fluorinated thermoplastic binders in electrochemical double-layer capacitor (EDLC) application. SH water-based binder contained sucrose/sulfuric acid at the weight ratio of 1:2 was cured at 120-350 °C. The binder wes characterized by water immersion, SEM, FTIR, XPS, TGA/DSC and electrochemical cyclic voltammetry. The SH binders showed good strength and electrochemical stability. The EDLC electrodes prepared from activated carbon (AC) composite containing 5 wt% of the SH precursor were assembled into a Swagelok symmetric test cell. The results showed that the SH electrodes had lower internal resistance than the PTFE electrodes, suggesting superior rate capability. The capacitive performance of the SH electrodes was comparable to the PTFE electrodes in the acid electrolyte. Specific capacitance values of the SH electrodes were around 125.35 ±4.18 F/g. In addition, the SCH electrode containing sucrose, CMC, and sulfuric acid displayed the higher specific capacitance of 132.80 ±15.31 F/g. The results of charge/discharge for 1000 cycles showed that the sucrose-based electrodes display good cycling stability. A slight difference in capacitance retention depended on electrolytes and electrode components
DOI: 10.14457/tu.the.2021.547
title: Gait recognition for human identification and re-identification using deep neural network

description: Authorities are always looking for tools and require a more effective method of tracking and re-identifying a person of interest. Gait is the unique pattern during humans' walking and receives more attention due to its ability to continually collect samples from afar without the subject's awareness seamlessly. When integrated with machine learning, gait biometrics provide powerful tools for security or authentication processes.Early gait recognition works are based on fixed direction walks (view-dependent), which need to be operated in view-dependent scenarios, and are not suitable for freestyle walks. This research proposed the gait recognition techniques for freestyle walks (view-independent) on structural gait data (model-based). We present three novel gait recognition techniques:(1) We propose an improved data preprocessing technique. The proposed technique focuses on frames with high joint tracking status and improves their quality by using averaging to smooth the walking sequence and reduce noise. We used gait features that do not depend on the viewpoint, such as limb lengths, the angles from a group of joints, etc. The technique was called "double-window". (2) We propose new ways to create a gait feature called joint replacement coordinates (JRCs) and use them with a new CNN design. JRCs reduce noise in body posture and describe body movements using movement information from three connected joints. The body posture's movement is developed from every group of joints over the body. The proposed technique is called JRC-CNN gait recognition. (3) We propose a new unsupervised gait recognition technique based on a deep metric learning model. Most of the existing gait techniques are identified an unknown identity from a database of known identity. The proposed technique is called "regional-LSTM". This is a new concept to extract the rhythm of movements in different body regions by creating a separate LSTM model for each region. The regional-LSTM learning model is a representation function that transforms gait characteristics to an embedding space with a low degree of intra-class similarity and a high degree of inter-class similarity, where its similarity can be easily measured by using the ordinary distance functions.
DOI: 10.14457/tu.the.2021.548
title: Functionalization of carbon-based materials for zoledronic acid removal

description: This work aims to study the feasibility for zoledronic acid (ZA) capture through adsorption process using two different adsorbent materials, which are the supported activated carbons (ACs) and the nitrogen-doped carbon spheres (CS). The surface of supported ACs was modified with magnesium oxide (MgO) by precipitation method, while the nitrogen-dope carbon spheres were successfully synthesized via modified Stöber sol-gel process using lysine as the source of nitrogen. Their physicochemical properties were characterized using various techniques, including SEM, TEM, FTIR, Raman, XRD, N2 sorption isotherm, TGA/DSC, NEXAFS, XPS, and XANES. The adsorption of ZA was carried out in batch system. It was found that MgO particles were well dispersed on the surface of AC which enhanced the ZA adsorption capacity. Interestingly, the presence of coexisting ions of K+ and NH4+ in buffer solution significantly enhanced the ZA adsorption capacity. The highest ZA removal (73 mg/g) was found when using 15%MgO/AC as an adsorbent. For the N doped-CS system, the highest ZA removal at 92 mg/g was observed when applying 0.2lys-CS in the system. Furthermore, the cell viability over the AC system was further tested and it was found that MgO/AC was nontoxic to human cell with the cell viability percentage greater than 80%. This evidence could imply that MgO/AC can be considered as a new potential adsorbent for ZA capture in biomedical applications.