bluuebunny/crossref_metadata_2025_split huggingface dataset:
Literature review of mobile spatial data collection and related to reality as a basis for the geomatics applications
Authors: Saad F H , Jasim O Z , Albayati M M A 
Published: January 2023

Abstract
The evolution of new information communication strategies has been aided by the development of new technology, devices, and applications over the last two decades. The utilization of digital media platforms, ubiquitous technologies, and technologies based on spatial data has blurred the lines between virtual and physical locations, with access via digital devices, particularly mobile devices. This paper aims to review the mobile spatial data MSD collection literature and related empirical approaches worldwide and demonstrates how researchers have analysed human mobility utilizing smartphone-GPS sensors, and call detail records CDRs spatial data collection methods. We offered an in-depth analysis of 129 publications from several databases that exhibit relevant solutions or prototypes, examining their emphasis areas, design aims, and contributions to design and approach. The article argued the techniques of mobile spatial data collection, processing, and technology applications and summarized the outcomes of articles correlated with Urban Transportation Modem, urban spatial data, and public health and infection domains over recent decades. The paper is concluded that mobile spatial data enables planners, policymakers, and stakeholders to analyse, specify, and customize crucial information to help and support decision-making. finally, it is possible to integrate the newest information and technology fields such as machine learning and artificial intelligence to gain more accurate features in estimating, predicting and studying several phenomena whether natural, socioeconomic, environmental, etc. Also, the article involves highlights the benefits and drawbacks of each spatial data collection technique.
Asmarat inventory interpretation for tourism land use planning and growth management
Authors: Alwan Kareem Hassan , Omran Shahad Hussein 
Published: January 2023

Abstract
The city is considered a centre for attracting many residents in various ways, and this led to the great increase and the emergence of many problems and transformations at the organizational and planning level and the urban environment, which demonstrated many attempts to control these variables and maintain the balanced growth of cities to achieve sustainable urban planning. Hilla city is facing today an excessive population increase and a shortage of local production. The research deals with the importance of the land inventory and what Hilla city contains from the developmental capabilities, especially the tourist inventory and it’s smart management, that would create new opportunities and growth poles to manage growth in it and reduce the momentum on the centre also the importance of the ancient city of Babylon and that it is located on the outskirts of Hilla city helps in achieving economies and increasing income through the profits it achieves through the internal and external tourism and attracting the other investments to create job opportunities through the application of the theory of economic growth poles, which showed the importance and role of the tourist inventory and it’s management in achieving regional development to arrive at the importance of the Ministry of Culture and Antiquities taking over the media focus and promotion of tourism through audio-visual media and the preparation of a detailed illustrated guide showing the sites, and a reference to the importance of the Development Department for tourism development using smart technologies to advance and increase it its local product.
The evaluation of carbon monoxide emissions using regression analysis and GIS techniques
Authors: Dhumad S Z , Jasim O Z , Hamed N H 
Published: January 2023

AbstractIn the last few years, Baghdad city has witnessed substantial changes in the land use/land cover, a significant increase in the number of inhabitants, number of vehicles, and industrial activities. As a result, air pollutants from traffic, industries, cooking, and waste incineration are relatively increased. Moreover, Baghdad city is considered an attractive location for a large number of humans, where the potential for human exposure to relatively high air pollutants makes Baghdad city a good target of investigation in recent studies related to air pollution in urban areas. Carbon Monoxide (CO) is one of the air pollutants, which is considered colourless and odourless mainly emitted from the uncompleted process of fuel combustion. CO has negative impacts on human health. The evaluation of Carbon monoxide in urban areas usually requires the implementation of appropriate methods, which can enable an understanding of the relationship between CO sources and receptors to adopt proper strategies for pollution mitigation within urban areas. In this study, we proposed a model based on the integration between GIS data and regression analysis to predict hourly CO concentrations in an urban area, Baghdad, Iraq. Regression modelling was carried out depending on independent variables (Temperature, Humidity, Wind speed, Wind direction, Solar Radiation, Built-up area, Agricultural lands, Water, Barren land, Road length) and dependent variables included samples of hourly CO concentrations during 2019. The modelling results indicated that the correlation coefficient was achieved at 0.8845, while the Root mean squared error was 0.1208 ppm. On the other hand, the R-squared was 0.74 according to the testing data and 0.78 according to the training data. The presented regression model might be adopted as an evaluation tool for the air pollutants studies in Iraq. The presented model might be used as an efficient tool for the air pollutants evaluation in Iraq. This can support private agencies and the government in Iraq. The proposed regression model can be upgraded to be more generalized for other locations in Iraq by collecting more environmental and geographic information like air pollutants related to CO such as CO2, traffic data, roads condition, building height, and elevation that can improve the proposed model.
Identifying the parameters influencing the adoption of electric intermediate public transport: a case area of Gwalior city
Authors: Jain Jagrati , Sai Sesidhar V , Vardhan Prasanth 
Published: January 2023

Abstract
The emission from transportation sectors is identified to contribute to air pollution and the same has brought electric mobility as an emerging solution to the problem. Electric mobility has yet to become a mainstream option for India’s vast population in terms of transportation, making it critical to understand people’s attitudes and preferences in choosing Electric Vehicles (EVs) over the convention once. Therefore, to understand the perceptions and factors which influence the adoption, a study is conducted in the area of Gwalior City. Some of the most influencing factors were selected from the literature study. And then a questionnaire was designed, where Intermediate Public Transport (IPT) operators were asked to choose on a scale of 1 to 5 (where 1 is highly important 5 beings I don’t know situations). Top influential factors like Purchase cost, Operation, and maintenance cost (O&M cost) were getting in this article, Vehicle capacity and battery swapping facility were found as the main influencing factors for Electric Vehicle adoption. A discrete choice model is used to generate utility equations. This was done for two operators of Intermediate Public Transport in Gwalior which are 4-Seater and 8-Seater respectively. Binomial regression analysis gave the utility values of selected factors, which the operators consider before adopting the Electric Vehicle. The results of the research will be helpful in understanding operators/drivers of Intermediate Public Transport, especially in the Intermediate Public Transport market. Results will help planners and policymakers to make sound decisions.
Random error propagation on electron beam dynamics for a 50 MeV S-band linac
Authors: Purwar H , Goutierre E , Guler H , Rossetti Conti M , Chance S , Gonnin A , Monard H , Bacci A , Sebag M , Cohen J , Bruni C 
Published: January 2023

Abstract
The stability and the quality of particle beams are of utmost importance for many emerging linac installations. The impact on beam properties damage of beam electromagnetic element misalignments and jitter/fluctuations in various accelerator sub-systems should be properly known, as usually such shot-to-shot fluctuations cannot be avoided. On top of that, knowing which parameters the machine is most sensitive to is of utmost to take precautionary measures to reduce the beam degradation and thus improve beam stability and quality. This simulation work focuses on a 50 MeV S-band linear accelerator based on RF photoinjector electron source. The sensitivity of the beam parameters towards several errors has been studied collectively as well as individually for each accelerator element. While the emittance at the end of the linac is dominated by the laminar behavior in the accelerating section, the main emittance degradation comes mainly from orbit errors located at the linac entrance.
Influence of electrode processing and electrolyte composition on multiwall carbon nanotube negative electrodes for sodium ion batteries
Authors: Fuente Cuesta Aida , Dickson Stewart A M , Naden Aaron B , Lonsdale Cameron , Irvine John T S 
Published: January 2023

Abstract
Nanostructured one-dimensional multiwall-carbon nanotubes have a variety of advantageous properties including good electrical conductivity and mechanical strength, and thus have been widely investigated for use in lithium-ion battery electrodes as conductive and microstructural additives, though they also possess some electrochemical activity. Their application to sodium-ion batteries has been less extensively researched, and therefore a greater understanding of the electrochemical reaction with sodium, and effects of slurry composition and electrolyte formulation is warranted, especially as these are likely components in future Na-ion electrode formulations. Here, we report the fabrication of aqueous and organic multi-wall carbon nanotube (MWCNT) negative electrodes processed by ball milling. The binder of choice is noted to greatly affect the electrochemical performance, both in terms of capacity retention and rate capability over a range of current densities from 25 to 500 mA g−1. Switching from a carbonate- to diglyme-based electrolyte considerably improves initial coulombic efficiencies (∼10%–60%), attributed to less extensive formation of solid electrolyte interphase, and enables a reversible mechanism with capacities up to 150 mAh g−1 over 100 cycles depending upon the binder used. Ex-situ characterization of the discharged and cycled carbon nanotubes by powder x-ray diffraction, transmission electron microscopy and Raman spectroscopy provide an insight into how MWCNTs undergo sodiation and demonstrate a partially reversible structural transformation during cycling when using the diglyme-based electrolyte. This work lays the foundation for a better understanding of these versatile materials, especially when used in the most promising alternative energy storage technology to lithium ion.
Mathematical model of the petroleum products mass balancing in their supply network through the detection of excessive losses by the least squares method
Authors: Samoilenko Oleksandr 
Published: January 2023

Abstract
A method for balancing the mass of petroleum products in their entire supply network, from the manufacturer to the car fuel tank, was proposed. The method is based on the analysis of differences that occur during double measurements of the same mass using different instruments during each delivery-acceptance operation. The analysis of these differences was performed using the least squares method (LSM) by composition and solving equations. As a result, LSM-balanced mass values were obtained for each petroleum delivery-acceptance operation and for the supply network as a whole. Balancing is performed by detecting losses that occur before the mass measurements or during the mass measurements of each measuring instrument. Additive and/or multiplicative losses can be detected. The additives have the same losses for each delivery-acceptance operation, regardless of the measured mass. The multiplicative losses increased in proportion to the measured mass. The measurement uncertainty was strictly developed according to the LSM. The simulated test example shows that the losses were determined with a sufficiently high accuracy. A key condition for this is to ensure the traceability of the mass measurements by calibrating all measuring devices involved in the network. The application of this method will allow petroleum products suppliers to find and eliminate sources of excessive natural and technological losses in a timely manner. It is of equal importance to identify weaknesses in the supply network where thefts can occur.
Implementing a transmission line electrical circuit model in a complementary metamolecule waveguide
Authors: Veldes G P 
Published: January 2023

Abstract
Initially, we construct the metamolecule from its constituent meta-atoms, namely, a split ring resonator (SRR) and a complementary SRR (CSRR) which have characteristic oscillator frequencies in the microwave frequency band (especially in the X-band). Next, an one-dimensional metamolecule waveguide is created from an array of the CSRR-SRR metamolecules. The CSRR is the negative image of the SRR therefore this waveguide is called Complementary Metamolecule Waveguide (CM-WG). Using electromagnetic (EM) simulations, we study the operation frequency bands of the CM-WG changing the polarization of the incident EM wave as well as its unit cell dimension. In continue, we develop an electrical transmission line model, we precisely calculate the electric and magnetic coupling coefficients between the metamolecules and verify the results of the EM simulations. We conclude, from the electromagnetic simulations and the analytical considerations, that the polarization of the incident EM wave and the distance between the metamolecules affect the bandwidth of the frequency bands as well as the properties of the propagation.
‘I found it the only place that spoke the same language’: a thematic analysis of messages posted to an online peer support discussion forum for people living with dementia
Authors: Talbot Catherine V , Coulson Neil S 
Published: January 2023

AbstractBackgroundDespite the proliferation of online support communities, little is known about how people with dementia engage with them.AimThe aim of this study was to explore the content of messages exchanged between members of the asynchronous Talking Point online discussion forum.MethodUsing the sub-forum ‘I have dementia’, 100 conversation threads were randomly selected yielding 863 individual messages for analysis. Our data set was subjected to reflexive thematic analysis.ResultsThree themes were generated: journeying through dementia, reciprocal peer support and therapeutic creativity. The findings suggest that individuals used the forum to share their experiences of obtaining and adjusting to a dementia diagnosis, their current symptoms and how they addressed the challenges of daily living as well as the impacts on mood, confidence and connectedness. The forum was viewed as a safe space to reflect on the future and what it might hold for them and loved ones. Throughout these discussions, users supported each other, particularly in relation to the emotional impact of diagnosis and shared experiential information and advice, with referrals to external sources of support commonplace. Discussion around the role of therapeutic creativity was evident and its role as a coping mechanism described. Through engagement, a sense of community and companionship was evident and new members welcomed, supported and encouraged to join in.DiscussionThe forum appears to be filling an important gap in post-diagnostic support provision, particularly for those with rare forms of dementia. Clinicians, support workers and organisations could consider recommending online support forums to people with dementia.
CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models
Authors: Nallapareddy Vamsi , Bordin Nicola , Sillitoe Ian , Heinzinger Michael , Littmann Maria , Waman Vaishali P , Sen Neeladri , Rost Burkhard , Orengo Christine 
Published: January 2023

AbstractMotivationCATH is a protein domain classification resource that exploits an automated workflow of structure and sequence comparison alongside expert manual curation to construct a hierarchical classification of evolutionary and structural relationships. The aim of this study was to develop algorithms for detecting remote homologues missed by state-of-the-art hidden Markov model (HMM)-based approaches. The method developed (CATHe) combines a neural network with sequence representations obtained from protein language models. It was assessed using a dataset of remote homologues having less than 20% sequence identity to any domain in the training set.ResultsThe CATHe models trained on 1773 largest and 50 largest CATH superfamilies had an accuracy of 85.6 ± 0.4% and 98.2 ± 0.3%, respectively. As a further test of the power of CATHe to detect more remote homologues missed by HMMs derived from CATH domains, we used a dataset consisting of protein domains that had annotations in Pfam, but not in CATH. By using highly reliable CATHe predictions (expected error rate &lt;0.5%), we were able to provide CATH annotations for 4.62 million Pfam domains. For a subset of these domains from Homo sapiens, we structurally validated 90.86% of the predictions by comparing their corresponding AlphaFold2 structures with structures from the CATH superfamilies to which they were assigned.Availability and implementationThe code for the developed models is available on https://github.com/vam-sin/CATHe, and the datasets developed in this study can be accessed on https://zenodo.org/record/6327572.Supplementary informationSupplementary data are available at Bioinformatics online.
Evaluating Child Interviews Conducted by Child Protective Services Workers and Police Investigators
Authors: Baugerud Gunn Astrid , Røed Ragnhild Klingenberg , Hansen Helle B G , Poulsen Julie Schøning , Johnson Miriam S 
Published: January 2023

Abstract
High-quality interviews that follow best-practice guidelines are the best means available to frontline child protective service (CPS) workers and specially trained police officers to investigate and detect abuse and maltreatment. In Norway, the CPS and police are trained in the same interview method. In the current quantitative study, we investigate sixty-five interviews conducted by the CPS of children ages 4–8 years and seventy-two interviews conducted by the police of children ages 3–6 years. Our analysis shows that the CPS workers presented more open-ended invitations and fewer suggestive questions than the police officers. However, the CPS also asked more option-posing questions. Still, this finding may indicate that CPS workers come closer than police officers to follow best practice guidelines when they conduct child interviews. It should be noted that the police are also trained in an extended interview method, unlike the CPS workers. The number of open-ended invitations was sparse in both samples. Differences in the span of children’s ages in the two samples and different legal frameworks may have affected the findings. Implications for interview training are discussed.
Gyral peaks and patterns in human brains
Authors: Zhang Songyao , Zhang Tuo , He Zhibin , Li Xiao , Zhang Lu , Zhu Dajiang , Jiang Xi , Liu Tianming , Han Junwei , Guo Lei 
Published: January 2023

Abstract
Cortical folding patterns are related to brain function, cognition, and behavior. Since the relationship has not been fully explained on a coarse scale, many efforts have been devoted to the identification of finer grained cortical landmarks, such as sulcal pits and gyral peaks, which were found to remain invariant across subjects and ages and the invariance may be related to gene mediated proto-map. However, gyral peaks were only investigated on macaque monkey brains, but not on human brains where the investigation is challenged due to high inter-individual variabilities. To this end, in this work, we successfully identified 96 gyral peaks both on the left and right hemispheres of human brains, respectively. These peaks are spatially consistent across individuals. Higher or sharper peaks are more consistent across subjects. Both structural and functional graph metrics of peaks are significantly different from other cortical regions, and more importantly, these nodal graph metrics are anti-correlated with the spatial consistency metrics within peaks. In addition, the distribution of peaks and various cortical anatomical, structural/functional connective features show hemispheric symmetry. These findings provide new clues to understanding the cortical landmarks, as well as their relationship with brain functions, cognition, behavior in both healthy and aberrant brains.
Recurrent venous thromboembolism and bleeding with extended anticoagulation: the VTE-PREDICT risk score
Authors: de Winter Maria A , Büller Harry R , Carrier Marc , Cohen Alexander T , Hansen John-Bjarne , Kaasjager Karin A H , Kakkar Ajay K , Middeldorp Saskia , Raskob Gary E , Sørensen Henrik T , Visseren Frank L J , Wells Philip S , Dorresteijn Jannick A N , Nijkeuter Mathilde ,   VTE-PREDICT study group, Braekkan Sigrid K , Burggraaf Louise , Cannegieter Suzanne C , Farjat Alfredo , Pap Akos Ferenc , Goldhaber Samuel , Grosso Michael , Horváth-Puhó Erzsébet , Lensing Anthonie W A , Pieper Karen , Schulman Sam , Shi Minggao , Virdone Saverio 
Published: January 2023

AbstractAimsDeciding to stop or continue anticoagulation for venous thromboembolism (VTE) after initial treatment is challenging, as individual risks of recurrence and bleeding are heterogeneous. The present study aimed to develop and externally validate models for predicting 5-year risks of recurrence and bleeding in patients with VTE without cancer who completed at least 3 months of initial treatment, which can be used to estimate individual absolute benefits and harms of extended anticoagulation.Methods and resultsCompeting risk-adjusted models were derived to predict recurrent VTE and clinically relevant bleeding (non-major and major) using 14 readily available patient characteristics. The models were derived from combined individual patient data from the Bleeding Risk Study, Hokusai-VTE, PREFER-VTE, RE-MEDY, and RE-SONATE (n = 15,141, 220 recurrences, 189 bleeding events). External validity was assessed in the Danish VTE cohort, EINSTEIN-CHOICE, GARFIELD-VTE, MEGA, and Tromsø studies (n = 59 257, 2283 recurrences, 3335 bleeding events). Absolute treatment effects were estimated by combining the models with hazard ratios from trials and meta-analyses. External validation in different settings showed agreement between predicted and observed risks up to 5 years, with C-statistics ranging from 0.48–0.71 (recurrence) and 0.61–0.68 (bleeding). In the Danish VTE cohort, 5-year risks ranged from 4% to 19% for recurrent VTE and 1% –19% for bleeding.ConclusionThe VTE-PREDICT risk score can be applied to estimate the effect of extended anticoagulant treatment for individual patients with VTE and to support shared decision-making.