bluuebunny/crossref_metadata_2025 huggingface dataset:
A dynamic network analysis of the information flows during the management of a railway disruption
Authors: Schipper Danny , Gerrits Lasse , Koppenjan Joop F.M.
Published: November 2023

Railway systems experience disruptions on a daily basis. We test the use of Dynamic Network Analysis as a methodological tool in order to investigate the communication patterns during the dynamic process of disruption management. The tool was applied to a simulated case of a catenary failure in the Dutch railway system. DNA provides a systematic overview of the communication patterns and tasks associated with the disruption management process. Key actors were identified and the overall structure of the network analyzed. The dynamic component to our network analysis revealed that information is being shared within disconnected parts of the network during the first few minutes, without those parts having a direct link to the source of the information. These findings show that employing only static analysis of networks obscures the real dynamics of information sharing during railway disruptions and potential coordination problems. DNA therefore can be an important method and tool to reveal issues that need to be resolved.
Vulnerability of transport infrastructure to extreme weather events in small rural catchments
Authors: Diakakis Michalis , Lekkas Efthymis , Stamos Iraklis , Mitsakis Evangelos
Published: November 2023

Across the Mediterranean region, extreme weather events (EWE), such as high-intensity storms causing flooding in small river basins, are one of the most common types of hydrometeorological hazards. Flooding has been associated with severe effects on road networks and a significant number of vehicle-related fatalities, raising concerns regarding the performance of transportation infrastructure during EWEs. Given the expected increase in frequency of such events within the context of climate change, an assessment of its vulnerability is particularly crucial. The work presented herein evaluates the performance of transportation infrastructure during high-intensity storms. This research focuses on small rural catchments, examining the impact of five extreme storm events in five rural basins in Greece. Post-flood surveys were conducted, to record the impact of inundation on each infrastructure element in the five catchments. Overall, findings showed that road infrastructure, especially river crossings, performed poorly, restricting access to large areas during and after the events, affecting the safety of commuters and sustaining extensive damages. On average, it was found that 73% of the river crossings and 11.5% of the total length of the road network were inundated or damaged, while a total of 12 individuals died during the events. The results revealed that the impact of flooding in the transportation infrastructure of small rural basins was severe and a threat to human life. The findings of this study indicate that authorities should consider taking measures during EWEs, reexamine the safety features of the relevant infrastructure and assess the risk related to its failure.
Container terminal operations simulator (CTOS) – Simulating the impact of extreme weather events on port operation
Authors: Chhetri Prem , Jayatilleke Gaya B. , Gekara Victor O. , Manzoni Alex , Corbitt Brian
Published: November 2023

This paper develops a methodology to design a Container Terminal Operation Simulation (CTOS), which simulates the vulnerability of port operations to extreme weather events. In CTOS, an agent based model was built for a container terminal at the Port of Sydney to simulate the operations of port operational assets such as cranes, straddle carriers and trucks to observe the individual and collective behaviour under various extreme weather events using a set of Key Performance Indicators (e.g. crane rates, straddle productivity, truck queue length, yard utilisation). The CTOS results show that the crane throughput loss due to six hours of heavy rain and six hours of high speed wind (separately) is 13 per cent within a 24 hour period. While high speed wind and heavy rain have the highest impact on the crane throughput, high speed wind and flooding in the port area leads to a backlog in servicing trucks. Using a single terminal for the purpose of the simulation, as opposed to the entire Sydney Port, is a limitation. However, the CTOS is designed and coded in a manner that permits its modification such that it can be applied to other port contexts. CTOS offers a versatile tool for port authority to enable estimating performance implications of extreme weather-related disruptions to port operations. CTOS provides an effective proof of concept prototype where the system architecture can be reused in developing an open generic port operations model.
Integration of unobserved effects in generalised transport access costs of cycling to railway stations
Authors: La Paix Puello Lissy , Geurs Karst T.
Published: November 2023

This paper examines the role of perceptions and attitudes in railway station accessibility. We add unobserved (latent) variables to the Generalised Transport Access Cost (GTAC) of cycling to Dutch railway stations in the metropolitan area of The Hague – Rotterdam. A hybrid discrete choice model was estimated for access mode and two latent variables which were obtained through factor analysis: perception of station environment (including factors such as the users’ judgement of the station, assessment of travel information, presence of high speed trains) and perceived connectivity (including factor such as the evaluation of punctuality and the frequency of the train and quality of bicycle infrastructure). The estimated individual utility was applied to a station access cost index. A comparison between standard logit and hybrid utility functions identifies improvements in the utility-based measures by using discrete choice models. Utilities are computed by station departure, postcode of residence and neighbourhood. The results show, first, that omitting unobserved effect in utility-based measures tends to lead to overestimations of the accessibility levels. Secondly, different variations in accessibility levels are revealed, by size of railway stations and urban areas. Finally, the results highlight stronger effects of network connectivity impedances than station environmental impedances in generalised transport costs.
A general activity-based methodology for simulating multimodal transportation networks during emergencies
Authors: Gun Jeroen P.T. Van Der , Pel Adam J. , Arem Bart Van
Published: November 2023

Many possible emergency conditions, including evacuations, negatively affect the urban transportation system by substantially increasing the travel demand and/or reducing the supplied capacity. A transportation model can be used to quantify and understand the impact of the underlying disasters and corresponding management strategies. To this end, we develop an efficient methodology suitable for simulating multimodal transportation systems affected by emergencies, based on the novel integration of an activity-based choice model with both pre-trip and en-route choices, and a macroscopic or mesoscopic dynamic network loading model. The model structure first estimates the daily equilibrium and then uses that result as a starting point to simulate the emergency situation without further iterations. Unlike previous efforts, our methodology satisfies all requirements identified from literature regarding transportation modeling for emergencies, and is sufficiently general to investigate a wide range of emergency situations and management strategies. An evacuation case study for Delft shows the feasibility of applying the methodology. Furthermore, it yields practical insights for urban evacuation planning that stem from complex system dynamics, such as important interactions among travel directions and among modes. This supports the need for a comprehensive modeling methodology such as the one we present in this paper.
An exploration of moving walkways as a transport system in urban centers
Authors: Scarinci Riccardo , Bahrami Farzaneh , Ourednik Andr´E , Bierlaire Michel
Published: November 2023

Moving walkways (MW) have been imagined as a possible means of transport since the late 19th century, and this system has fascinated urban planners and engineers ever since. Contrary to what has been imagined, moving walkways are only used in transportation hub corridors, and not as a main transport mode in city centers. Today however, MWs are receiving increasing attention as a possible solution to congestion and pollution, as well as a catalyst for soft mobility. This paper explores the role of moving walkways as a transport system, and it presents an optimized design of a network of MWs in a city center. We review historical MWs, current installations and future possibilities, using different perspectives, from geography to urban planning to transport engineering. We discuss the way in which MWs influence how people inhabit the urban space, and we review this system in the context of history of urban planning. Then, we describe a technological development called accelerating moving walkways (AMW), i.e. MWs able to reach a higher speed than traditional ones. We develop an optimization framework to design a network of AMWs, and we apply it to a real case study. The results of the network design are a reference useful to discuss the feasibility of the system starting from an engineering perspective. We conclude that the use of MWs can facilitate the flexibility and spontaneity typical of pedestrian movements, and this system could be integrated in the mix of urban transport modes in city centers.
Elderly’s heterogeneous responses to topographical factors in travel mode choice within a hilly neighborhood: An analysis based on combined GPS and paper-based surveys
Authors: Anh Hong Nguyen Thi , Chikaraishi Makoto , Seya Hajime , Fujiwara Akimasa , Zhang Junyi
Published: November 2023

Because of the decline of physical abilities of the elderly, their mobility is more vulnerable to topographical factors than younger population groups. However, topographical factors have been neglected in studies on travel behavior, and elderly people’s heterogeneous responses to topographical factors remain unknown. To fill this research gap, this study focuses on a hilly neighborhood called Koyo Newtown in Hiroshima City, Japan, where a multi-period (two waves) and multi-day (two weeks) panel survey was conducted in 2010 and 2011. The survey consisted of a GPS survey and a paper-based travel diary survey. In addition, a travel mode choice model is developed based on a panel mixed logit model. Heterogeneities are captured by introducing random effects to parameters of topographical factors, which are measured in terms of altitude difference, intensity of up/down movement, maximum slope, and changing slope. Furthermore, effects of introducing personal mobility vehicles (PM) to mitigate negative impacts of topographical factors are also evaluated. As a result, it is found that the altitude difference and maximum slope factors have significant impacts on mode choice decisions. The effectiveness of PM to support the mobility of elderly residents is also confirmed.
Exploring travellers’ risk preferences with regard to travel time reliability on the basis of GPS trip records
Authors: Zeng Weiliang , Miwa Tomio , Morikawa Takayuki
Published: November 2023

Travel time reliability has attracted considerable interest in the field of route choice modelling. Knowing how individuals choose paths with uncertain travel times is fundamental to advancing our understanding of route choice behaviour and thus driving the development of route guidance systems. In general, existing navigation systems provide the shortest path on the basis of distance or travel time, even though many travellers do not intend to choose the shortest path. Several studies have shown that the probability of delay or travel time reliability is an important factor in a traveller’s route choice decision. Learning a traveller’s risk preference with regard to travel time reliability is important for designing a preferable route. Traditionally, route choice data for individual preference analysis are collected by conducting stated preference surveys. However, this approach is difficult to avoid its inherent limitation, namely a lack of honest, accurate, and bias-free reporting. To overcome these problems, the present study proposes a new data collection methodology that facilitates estimation of a traveller’s risk preference on the basis of large-scale GPS trip records. The lower and upper bounds of individual risk preference can be estimated by exhausting a series of reliable paths with different on-time arrival probabilities and using the theory of stochastic dominance. Then, a regression model based on a logistic function is established to explore how socio-demographic and trip characteristics influence the lower and upper bounds. Thus, individual properties, such as age, and pre-trip information, such origindestination (OD) distance, departure time, and day of week, are found to have a significant influence on the degree of risk preference.
Table of Contents
Authors: _ _
Published: November 2023

Table of contents
Biases in security risk management: Do security professionals follow prospect theory in their decisions?
Authors: de Wit Johan , Pieters Wolter , Jansen Sylvia , van Gelder Pieter
Published: November 2023

Security professionals play a decisive role in security risk decision making, with important implications for security in organisations and society. Because of this subjective input in security understanding possible biases in this process is paramount. In this paper, well known biases as observed and described in prospect theory are studied in individual security risk decision making by security professionals. To this end, we distributed a questionnaire among security professionals including both original dilemmas from prospect theory and dilemmas adapted to the context of incident prevention. It was hypothesised that security professionals dealing with risks and decision making under risk on an almost daily basis would or should be less vulnerable to decision biases involving risks, in particular when framed in terms of incident prevention. The results show that security professionals are vulnerable to decision biases at the same scale as lay people, but some biases are weaker when decision problems are framed in terms of security as opposed to monetary gains and losses. Of the individual characteristics defining experience, only the general education level observably affects vulnerability for biases in security decision making in this study. A higher general education level leads to a significantly higher vulnerability to decision biases. By highlighting the vulnerability of security professionals to decision biases, this study contributes essential awareness and knowledge for improved decision making, for example by different representation of probabilities and uncertainty.
Curtailing invisibility of health and safety risks
Authors: Lindhout Paul , Reniers Genserk
Published: November 2023

Risk control in many areas in society is based on known danger and avoidance of predicted accidents. Between accidents as predicted and accidents as they actually occur, there is a gap however. This gap hides a multitude of relevant safety information which might therefore not be considered in safety management systems, risk inventories and accident scenarios. Hence, it might help to pay attention to the gap of "invisible" phenomena and mechanisms and study the concept of "invisibility". Wondering about the role of invisibility in this respect, the authors explore literature using a scoping review approach, in search of invisibility concepts: ways in which full or partial invisibility exists in a variety of areas relevant to safety. Some 202 of such concepts are found. They can be grouped into 22 frequently found types of invisibility, each capable of hiding relevant safety information. Using a theoretical object-path-observer model, deconstruction of invisibility concepts into their constituting parts, and a proposed systematic combination process, an inventory with many more invisibility concepts can be generated than presently found in literature. This provides a new tool to search for currently hidden safety information and scenarios in the gap. Several examples of newly generated scenarios are discussed. The methodical limitations of this study make the current results indicative only. Both the 22 most frequently found invisibility types and the generation of new object, path and observer property combinations are recommended for use in safety management practice. Further research is recommended to gather more complete data for justification of an invisibility concepts classification.
Seamless interoperability in logistics by ontology alignment
Authors: Mohammadi Majid , Hofman Wout , Tan Yao-Hua
Published: November 2023

This paper is dedicated to applying ontology alignment systems to the heterogeneity problem in logistics. The primary motivation for doing so is to enable interoperability among different IT systems in logistics, all with their own database scheme. We first analyze different standards for logistics interoperability, which are implemented by XML schema definition (XSD) or Electronic Data Interchange (EDI) with implicit and inconsistent semantics across these open standards. To analyze the applicability of ontology alignment, we create two ontologies from two well-known standards that are rich in terms of semantic relations between entities. These ontologies are subjected to the state-of-the-art alignment systems, applying matching with and without logistics background knowledge. Our experimental analyses show that the alignment using background knowledge with some annotations finds better mappings between the given logistics standards and is thus applicable to real-world situations under particular conditions.
Auction-based coopetition in the landside air cargo supply chain
Authors: van Alebeek Sanne , Bombelli Alessandro
Published: November 2023

Increased competitiveness with other transport systems and declining operation margins have motivated freight forwarders in the air cargo transport industry to look into horizontal collaboration. This paper focuses on developing a fully integrated five-phase auction-based coopetition model, a form of horizontal collaboration where competition is preserved. A combinatorial auction is used to exchange transportation requests without having to reveal critical company information. Freight forwarders submit requests into an auction pool, where they are grouped into attractive bundles by a central planner and offered for auction. The request selection and bundling procedures are based on the time windows of the request deliveries. A freight forwarder’s bid on each bundle is equal to the marginal profit of that bundle, which is obtained by solving two NP-hard routing problems with a simulated annealing and large neighborhood search meta-heuristic. A unique aspect of the auction is that the dock capacity of the ground handlers is taken into account, which helps to alleviate truck congestion at the ground handlers. The potential of the auction-based coopetition model is shown for an air cargo supply chain scenario. There is a clear increase in profitability for the collaborating freight forwarders because the auction model decreases the transportation costs for the entire coalition. This cost reduction is achieved by an increase in transport efficiency, while the collaboration disadvantages, as seen in the literature, are limited.
Forecasting customer churn: Comparing the performance of statistical methods on more than just accuracy
Authors: Duchemin Ronan , Matheus Ricardo
Published: November 2023

There is a consensus that the best way to forecast customer churn is by statistical methods. It is, however, unclear when which statistical method is more appropriate. This study aims to provide a set of guidelines to data scientists and researchers who are interested in optimizing statistical methods. A systematic literature review revealed six most promising methods for churn forecasting and a selection of metrics which can be used to evaluate the performance of the methods. The six statistical methods are evaluated on five metrics of performance. The best-worst method (BWM), a multi-criteria decision-making method, is used to elicit the relative importance of the performance metrics. Based on the relative importance of the metrics and the performance of the methods, using additive value function, we find an overall value for each method based on which the forecasting methods can be ranked. Experimental analysis reveals that finding an overall value for each statistical analysis leads to a different ranking than when we use a single performance metric like accuracy or AUC. We argue that relying on an aggregated value, like the one we propose in this study, is more reliable than considering only one metric (a common practice).
Les états du kitsch dans "Un amour de Swann" de Marcel Proust et "Les choses" de Georges Pérec
Authors: Eba Axel Richard
Published: November 2023

Les romans de Marcel Proust et de Georges Pérec présentent le kitsch sous les états de principes et de modes selon la grille théorique élaborée par Abraham Moles. L’étude a puisé des ressources conceptuelles dans la Psychologie du kitsch ou L’art du bonheur pour analyser les œuvres que sont Un amour de Swann et Les choses. Si contester le social, c’est quand même s’inspirer de lui, ces œuvres ne manquent pas de faire plonger dans les réalités du XIXe et du XXe siècles. Cependant, au seuil des intrigues, l’étude s’est appesantie sur l’objet dans son acquisition, son utilisation, son positionnement, sa contemplation, sa manipulation. Ainsi, les mots techniques formulés par Abraham Moles ont offert des énoncés tels que les principes d’inadéquation, de cumulation et les modes hédoniste, surréaliste qui ont révélé leur littérarité. Le kitsch offre un ensemble d’outils linguistiques qui expliquent des phénomènes observables au niveau social et au niveau littéraire. À ce titre, l’objet devient le prisme par lequel les mentalités se définissent. Les romans de Marcel Proust et de Georges Pérec renferment des observations et des informations sociologiques rendues sous formes esthétiques à travers le procès du snobisme.
Francesco Petrarca: una obra, una novela
Authors: Ciusa Mario
Published: November 2023

El presente artículo quiere proponer la necesidad de enfocar la Opera Omnia de Francesco Petrarca como un texto único, fragmentado en diferentes obras individuales. Demostraré que su unidad no demora en elementos extratextuales, históricos o biográficos, sino en la misma forma poética, ya que la coherencia que rige la estructura no es, sino artística. Más aún, que dicha forma tiene que ser leída y considerada como una novela. Para definir este texto y justificar la elección propuesta, recurriré a la enseñanza de unos renombrados teóricos y críticos de la literatura de la contemporaneidad porque es el mismo poeta quien permite referirse a su obra desde un presente siempre nuevo. Si es cierto que Petrarca es un autor clásico, ya que se coloca en aquella tradición retórica y poética, de allí se dirige no solo a sus contemporáneos, sino también ad posteros, y esto significa que es posible considerarlo antiguo a la vez que contemporáneo, y como tal es posible analizarlo. Además, si es cierto que clásico es aquel autor cuya obra nunca acaba de decir lo que tiene que decir, el paso del tiempo no puede ser una penalización, sino un recurso con el que su palabra vive en un presente constante y que por ello es posible leer bajo una óptica hermenéutica actual.
Approche stylistique de l’énonciation poétique dans Symphonie musicale : pour une poévie de la Vie de Jean-Baptiste Fondjo
Authors: Ettien Kangah Emmanuel
Published: November 2023

Composé de quatre poèmes, de longueur variable, Symphonie musicale : pour une poévie de la Vie est un recueil de Jean-Baptiste Fondjo publié en 2022 aux éditions L’Harmattan de Paris. Cette œuvre poétique, essentiellement lyrique, se définit comme un hymne à la vie. Cette vie, si chère au poète, est célébrée à partir de la scène générique de la poévie, comme en témoigne le titre de l’œuvre. Mot-valise forgé à partir du morphème « poé », une troncation de la lexie « poésie » et du terme « vie », la poévie est un art poétique qui vise à promouvoir la vie, en mobilisant divers procédés d’écriture dont les plus représentatifs sont les déictiques, les marques suprasegmentales et la métaphore. Cette stratégie témoigne de la subjectivité du poète. Ces unités énonciatives donnent prise à l’analyse stylistique. Cette dernière se définit, en effet, comme une théorie et une méthode d’analyse structurale qui vise au décryptage et à l’interprétation des ressources langagières mises en œuvre par un écrivain, dans son texte. L’intérêt de cette étude est de montrer comment les outils de la linguistique de l’énonciation se prêtent à une interprétation stylistique de la poésie de Jean-Baptiste Fondjo.
Effect of the Machine Parameters on Field Performance of Developed Potato Planter Cum Fertilizer Applicator
Authors: Kosariya Yogesh K. , Jogdand S. V. , Victor V. M.
Published: November 2023

The field experiment, conducted at the instructional farm of Indira Gandhi Krishi Vishwavidyalaya Raipur in the year 2019-20, was laidout in factorial randomized block design for potato planting by newly developed potato planter cum fertilizer applicator with variousmachine parameters as 3 main plot (different speeds as V1 or 1.5 km/h, V2 or 2.0 km/h and V3 or 2.5 km/h) and 3 subplots (different drivewheel diameter i.e., W1 or 38 cm, W2 or 42 cm, W3 or 52 cm) are made. Subplots also divided in 3 separate plots (Different shovel angleas S1 or 45o, S2 or 90o and S3 or 120o) for each subplot. The effect of the combination of these independent parameters on dependentparameters (single, double, multiple, missing and damage percentage) was observed in the developed potato planter’s performance. Theaverage germination percentage of potato seed was recorded as round (86.4%), oblong (81.6%) and long-oblong (79.6%) for unmeteredplanted seeds. For the metered seeds, germination percentage was found as round (81.3%), oblong (79.4%) and (78.4%), respectively.Maximum theoretical field capacity was found as 0.150 ha/h at the speed 2.5 km/h followed by 0.120 ha/h at the speed of 2.0 km/h and0.090 ha/h at the speed of 1.5 km/h, respectively. Maximum effective field capacity was observed as 0.106 ± 0.005 ha/h at the speed 2.5km/h followed by 0.089 ± 0.007 ha/h at the speed of 2.0 km/h and 0.065 ± 0.001 ha/h at the speed of 1.5 km/h, respectively. Maximumaverage field efficiency was 74.193 % at the speed of 2.0 km/h followed by 72.069 % at speed of 1.5 km/h and 70.704% at speed of 2.5km/h, respectively. The average draft recorded at the speed of 1.5 km/h, 2.0 km/h and 2.5 km/h were 68.41 ± 1.02 kgf, 70.93 ± 0.97 kgfand 77.15 ± 0.65 kgf, respectively. The average power required for potato planter was recorded as 0.527 ± 0.140 hp
Bacterial Biofilms - A Therapeutic Challenge
Authors: Parasana Dixit K. , Javia Bhavesh B. , Fefar Dhaval T. , Barad Dilipsinh B. , Ghodasara Sanjay N. , Kalyani Irsadullakhan H.
Published: November 2023

A bacterial biofilm is a community of bacteria or colony, adhered to a stationary living or non-living surface within a matrix of selfproducedextracellular polymeric material and microbial cells. Bacterial biofilms can result in nosocomial infections and are typicallyharmful in nature. According to the National Institutes of Health (NIH), biofilm formation is the cause of 80% of chronic illnesses and65% of all microbial infections. Bacterial biofilms exhibit resistance to both the host immune system and antibiotics. Infection linked tobiofilms can result in significant productivity losses for the livestock industry. Treating chronic mastitis with commonly available antibioticsis exceedingly challenging when it is caused by biofilm-producing Streptococcus spp. and Staphylococcus aureus. Staphylococci thatproduce biofilm are important contributors to wound infection because they hinder wound healing, which increases the risk of chronicinfection and subsequent bacterial infection. Additionally, biofilm bacteria may act as zoonotic agents. Therefore, we should try withalternate management techniques to combat biofilm microorganisms. In this overview, emphasis has given on status of biofilm associateddiseases in animal, zoonotic importance, probable reason for antibiotic resistance and therapeutic approaches against biofilm infections
Establishment of Herbal Garden in the Galgotias University Campus - An Ex-situ Conservation Approach
Authors: Bhatt Ganesh D. , Bindhupriya Mittapalli , Salam Jenny
Published: November 2023

Herbal gardens are a rich source of plant-based medicines and their derivatives. Both in urban and rural locations, herbal plants have an important role in traditional medicine. The development of herbal garden includes propagation, multiplication, research, education, and extension activities as well. In the present study, we took herbal plants from different nurseries of Noida and Greater Noida of Gautam Buddha Nagar district, Uttar Pradesh and developed herbal garden in the Galgotias University campus. The herbal garden has approximately 45 different plants, including shrubs (22), trees (13), herbs (9) and grass (1) etc. The geotagged photographs of each herbal plant were captured using GPS map camera. The ex-situ conservation of herbal garden in Galgotias University would help and motivate faculties and students of the university, to undertake further research on medicinal plants.
Developing Augmented Reality Learning Material in Professional English Teaching and Examining Its Effect on Academic Success
Authors: AYDIN YILDIZ Tugba , ÇINAR YAĞCI Şule , ÖZKAN Yasin
Published: November 2023

The learning materials of the new generation technologies such as augmented reality (AR) are supposed to exhibit sufficient input for the individuals who were raised with these kinds of developments in every aspect of life. Developing a new learning material is not a new issue, however, creating AR, which can be controlled and applied according to the individual learning level for professional English lessons, has crucial importance nowadays. In this direction, the aim of this study is to develop a language learning material based on AR for the university students who study Maritime or Port Management in which learning the professional English terminology or communicate, is one of the most difficult obstacle for the professional life. In this study, 4-week AR-aided application for professional English, which was developed for Maritime Faculty students (50 experimental + 50 control) according to the curriculum. Qualitative (observation and semi-structured interview forms) and quantitative (pre- & post-test) research methods were used as a mixed method research design. According to the findings, there is a significant difference between the groups in line with the academic achievement and some crucial reaction were observed in experimental group (about how effective, attractive and fun with studying AR).
A coleção de Maquinetas de Francisco Portugal Guimarães
Authors: Freire Luiz Alberto Ribeiro
Published: November 2023

São poucas as coleções particulares de maquinetas, altares em papel dourado rendado em caixas de vidro, produzidos no Recolhimento dos Humildes em Santo Amaro da Purificação, Bahia. Destaca-se, nesse universo limitado, a coleção do arquiteto e historiador da arte Francisco Portugal Guimarães, cuja entrevista, que norteia esse artigo, trouxe novas perspectivas para a pesquisa. As 19 peças que compõem a coleção acrescem ao conhecimento que venho desenvolvendo desse fenômeno artístico, cujos dados externos às próprias peças são parcos e provém da oralidade, pois não há documentação da atividade, nem da compra de materiais, muito menos da negociação, ou relatos de época. Além da variedade tipológica e iconográfica da coleção há uma vivência do colecionador como restaurador da Igreja e Convento dos Humildes em 1977, período em que iniciou as aquisições de maquinetas na localidade em que foram produzidas e utilizadas. Nesse processo, foi acumulando dados fornecidos pelas famílias proprietárias e, sobretudo, no restauro delas, ação que possibilitou o desmonte e a revelação de importantes fragmentos-indícios. O resultado dessa análise acrescenta tipos, confirma as marcas estilísticas, os caracteres técnicos, materiais, indicativos de época e procedência e as especificidades de um agente colecionador que se destaca pelo envolvimento profundo com o objeto que coleciona e sua história.
Pewarnaan Titik Ketakteraturan Lokal pada Hasil Operasi Amalgamasi Titik Graf Lintasan
Authors: Sandi Rafelita Faradila , Kristiana Arika  Indah , Monalisa Lioni Anka , Slamin  , Adawiyah Robiatul
Published: November 2023

Definition of graph is set pair (𝑉(𝐺),𝐸(𝐺)) where 𝑉(𝐺) is vertex set and 𝐸(𝐺) is edge set. A maping 𝐼 : 𝑉(𝐺)→{1,2, … ,𝑘} as label function and weight function 𝑤 : 𝑉(𝐺)→𝑁 is desined as 𝑤(𝑢)=Σ𝑣∈𝑁(𝑢)𝑙(𝑣). The function 𝑤 is called local irregularity vertex coloring if: (i) 𝑜𝑝𝑡(𝑙)=𝑚𝑖𝑛 (𝑚𝑎𝑘𝑠 (𝑙𝑖) ;𝑙𝑖 𝑖𝑠 𝑙𝑎𝑏𝑒𝑙 𝑓𝑢𝑛𝑐𝑡𝑖𝑜𝑛) and (ii) for every 𝑢𝑣 ∈ 𝐸(𝐺),𝑤(𝑢) ≠ 𝑤(𝑣). The chromatic number of local irregularity vertex coloring denoted by 𝜒𝑙𝑖𝑠(𝐺) is defined as 𝜒𝑙𝑖𝑠(𝐺)=𝑚𝑖𝑛{|𝑤(𝑉(𝐺))|;𝑤 𝑖𝑠 𝑙𝑜𝑐𝑎𝑙 𝑖𝑟𝑟𝑒𝑔𝑢𝑙𝑎𝑟𝑖𝑡𝑦 𝑣𝑒𝑟𝑡𝑒𝑥 𝑐𝑜𝑙𝑜𝑟𝑖𝑛𝑔}. The method used in this paper is pattern recognition and axiomatic deductive method. In this paper, we learn local irregularity vertex coloring of vertex amalgamation of path graph and determine the chromatic number on local irregularity vertex coloring of vertex amalgamation of path graph. This paper use vertex amalgamation of path graph (𝑎𝑚𝑎𝑙(𝑃𝑛 ,𝑣,𝑚)). The result of this study are expected to be used as basic studies and science development as well as applications related to local irregularity vertex coloring of vertex amalgamation of path graph.
Analisis Kestabilan dan Kontrol Optimal Model Matematika Penyebaran Leptospirosis dengan Saturated Incidence Rate
Authors: Miswanto  , Ammara Nisrina Firsta , Windarto
Published: November 2023

Leptospirosis is a disease caused by the bacteria Leptospira inchterohemorrhagiaea. Leptospirosis can attack humans and other animals, through rodents, especially rats. This research aims to analyze the stability of the equilibrium point in the mathematical model of the spread of Leptospirosis and apply optimal control variables in the form of prevention and treatment efforts. Based on the results of the mathematical model analysis of the spread of Leptospirosis, two equilibrium points were obtained, there are the non-endemic equilibrium point and the endemic equilibrium point. Local stability and the existence of an equilibrium point depend on the basic reproduction number 𝑅0. The non-endemic equilibrium point is local asymptotically stable if 𝑅0 < 1, while the endemic equilibrium point tends to be asymptotically stable if 𝑅0 > 1. Next, the problem of control variables in the model is determined using Pontryagin's Maximum Principle. Numerical simulation results show that providing control in the form of prevention efforts and treatment efforts simultaneously provides effective results in minimizing the population of individuals exposed to and infected by Leptospirosis at the cost of providing optimal control.
Fluorine chemistry in lithium-ion and sodium-ion batteries
Authors: Pan Zibing , Chen Huaqi , Zeng Yubin , Ding Yan , Pu Xiangjun , Chen Zhongxue
Published: November 2023

As the peculiar element in the Periodic Table of Elements, fluorine gas owns the highest standard electrode potential of 2.87 V vs. F-, and a fluorine atom has the maximum electronegativity. Benefiting from the prominent property, fluorine plays an important role in the development of lithium-ion batteries (LIBs) and sodium-ion batteries (SIBs) in terms of cathode materials (transition metal fluorides, fluorinated polyanionic compounds), electrolytes, and interfaces. In cathode materials, the highly electronegative renders enhanced ionic character of transition metal fluorine bonds and correspondingly high working potential in electrolytes; fluorinated electrolytes possess good antioxidant ability and flame retardance, which can significantly improve the thermal safety of a battery. On an electrode-electrolyte interface, the fluorine-rich inorganic component (such as LiF and NaF) is essential for the formation of a robust and stable solid electrolyte interface on anodes. Despite the remarkable advances achieved in fluorinated cathodes, electrolytes, and interfaces, there is still a lack of comprehensive understanding of the function of fluorides in LIBs and SIBs. Accordingly, this review briefly summarized the recent progress of fluorine-based electrodes, electrolytes, and interfaces and highlighted the correlation between the composition, property, and function to reveal the fluorine chemistry in LIBs and SIBs. This review will provide guidance for the rational design and targeted regulation of fluorine-dominated high-performance electrode materials, functionalized electrolytes, and consolidated interfaces.
Developing Prediction Models for Solar Photovoltaic Energy Generation Using Statistical and Machine Learning Methods
Authors: Kim Yoo-Jung , Kim Na-Hyeong , Park So-Yeon , Kim Chang Ki , Oh Myeongchan , Kim Hyun-Goo , Kim Jin-Young , Lee Yung-Seop
Published: November 2023

As renewable energy generation prediction systems have been introduced into the energy trading market, accurate prediction of solar photovoltaic (PV) energy generation has become a crucial challenge for ensuring stable trade of variable energy. Therefore, it is essential to quantitatively investigate and analyze current prediction technology and develop more advanced prediction systems. In this study, three models for predicting PV energy generation were investigated. Multiple regression, random forest, and gradient boosting machine (GBM) models were con-structed for 15 utility-scale power plants throughout South Korea. Model performance was evaluated in terms of root mean square error (RMSE) and mean absolute error (MAE). The multiple regression-based model had an RMSE of 12.00% and MAE of 9.06%. The random forest model had an RMSE of 11.69% and MAE of 8.61%. The GBM model had an RMSE of 11.34% and MAE of 8.18%, indicating its superior accuracy among the three models in predicting PV energy generation. These findings provide valuable insights that may contribute to the development of advanced PV energy generation models and their application in grid operations.
Multilevel Heterogeneity of Colorectal Cancer Liver Metastasis
Authors: Chen Hao , Zhai Chongya , Xu Xian , Wang Haidong , Han Weidong , Shen Jiaying
Published: November 2023

Colorectal cancer is a high-incidence tumor that has a high mortality rate due to its frequent metastasis to the liver. The difference in genes, proteins, and immune microenvironment between the primary and metastatic sites causes them to show different responses to treatment. Colorectal cancer liver metastasis patients also tend to show poorer treatment response and prognosis. Therefore, in this paper, we summarize the heterogeneity exhibited after colorectal cancer liver metastasis from five aspects (gene, transcriptome, protein, metabolism, and immunity), and we found that except for the genetic heterogeneity, the other four aspects exhibite significant heterogeneity, which might serve as a new therapeutic direction and a prognostic marker for patients with liver metastasis. Finally, the therapeutic modalities regarding tumors are rapidly evolving, and we have also summarize the new clinical therapeutic modalities currently proposed based on these heterogeneities, aiming to provide new therapeutic ideas for the clinical treatment of patients with colorectal cancer liver metastases.
Experimental Research on the Performance Characteristics of Grouting Slurry in a High Ground Temperature Environment
Authors: YANG Yangkang , NIU Jiandong , SUN Yong , LIU Jianxin , QIU Liangliang
Published: November 2023

Grouting materials with good insulation and reinforcement performance are key factors in solving the temperature control problem of high temperature tunnels using curtain grouting, while existing grouting materials cannot balance their working performance and insulation performance in high-temperature environments. In response to the above issues, this article uses red mud to prepare high ground temperature red mud based grouting materials (RMGS), and conducts tests on the working performance (viscosity, setting time, compressive strength) and insulation performance (thermal conductivity, specific heat capacity) of grouting materials at different temperatures (20, 40, 60, and 80 ℃), and analyzes the variation patterns and micro mechanisms of various characteristics with temperature. The results indicate that an increase in temperature will accelerate the viscosity development and condensation of the grouting material, and lead to a decrease in thermal conductivity and specific heat capacity. In addition, an appropriate temperature can also improve the compressive strength of the material. The increase in temperature will accelerate the hydration reaction rate of the grouting material and the development of internal pores, which is the reason why temperature affects the performance of the grouting material. In engineering applications, cement slurry is suitable for static water grouting, cement-sodium silicate slurry is suitable for dynamic water grouting, and RMGS is suitable for high-temperature tunnel grouting.
Alterations in Healthy Behaviors in Arab Israeli ASD Children during the COVID-19 Pandemic
Authors: Ghanamah Rafat
Published: November 2023

The coronavirus (COVID-19) pandemic limitations may negatively affect children and youth in terms of health behaviors, and it might be especially challenging for children who are diagnosed with neurodevelopmental disorders such as children and youth diagnosed with Autism Spectrum Disorder (ASD). The present study assessed alterations in physical activity, screen time, and sleep duration of ASD children and the prevalence of meeting the 24-hour movement guidelines during the COVID-19 outbreak. Forty-six Arab Israeli mothers of children with ASD were surveyed by an online cross-sectional survey. As reported by the mothers, the results show a significant decrease in physical activity, a significant increase in screen time, and a significant increase in sleep duration during the COVID-19 pandemic. Moreover, the proportion of the sample who gained the physical activity and screen time recommendations lessened while the percentage of children who met the sleep duration guidelines increased. The prevalence of ASD children who achieved the overall 24-hour movement guidelines was very small during the COVID-19 outbreak. The outcomes extend the body of knowledge regarding the negative effects of the COVID-19 pandemic on children diagnosed with neurodevelopmental disorders and highlight the need for instant healthcare and interventions and programs for children with ASD.
Influence of Amino Acid Substitutions in ApoMb on Different Stages of Unfolding of Amyloids
Authors: Katina Natalya , Marchenkov Victor , Ryabova Natalya , Ilyina Nelly , Balobanov Vitalii , Finkelstein Alexey
Published: November 2023

To date, most research on amyloid aggregation has focused on describing the structure of amyloids and the kinetics of their formation, while the conformational stability of fibrils remain insufficiently explored. The aim of this work was to investigate the effect of amino acid substitutions on the stability of apomyoglobin (ApoMb) amyloids. Study of amyloid unfolding of ApoMb and its six mutant variants by urea has been carried out. Changes in the structural features of aggregates during unfolding were recorded by the far UV CD and native electrophoresis. It was shown that during the initial stage of denaturation, amyloid's secondary structure partially unfolds. Then, the fibrils undergo dissociation and form intermediate aggregates weighing approximately 1 MDa, which at the last stage of unfolding decompose into 18 kDa monomeic unfolded molecules. The results of unfolding transitions allow concluding that the stability of studied amyloids relative to the intermediate aggregates and of the latter relative to unfolded monomers is higher for ApoMb variants with substitutions that increase the hydrophobicity of the residues. The results presented provide a new insight into the mechanism of stabilization of protein aggregates and can serve as a base for further investigations of the amyloids stability.
X- and Ku-Band Sar Backscattering Signatures of Snow-Covered Lake Ice and Sea Ice
Authors: Veijola Katriina , Cohen Juval , Mäkynen Marko , Lemmetyinen Juha , Praks Jaan , Cheng Bin
Published: November 2023

In this work, backscattering signatures of snow-covered lake ice and sea ice from X- and Ku-band synthetic aperture radar (SAR) data are investigated. The SAR data were acquired with the ESA airborne SnowSAR sensor in winter 2012 over Lake Orajärvi in northern Finland and over landfast ice in the Bay of Bothnia of the Baltic Sea. Co-incident with the SnowSAR acquisitions in-situ snow and ice data were measured. In addition, time series of TerraSAR-X images and ice mass balance buoy data were acquired for the Lake Orajärvi in 2011-12. The main objective of our study was to investigate relationships between SAR backscattering signatures and snow depth over lake and sea ice, with the ultimate objective of assessing the feasibility of retrieval of snow characteristics using X- and Ku-band dual-polarisation (VV and VH) SAR over freshwater or sea ice. This study constitutes the first comprehensive survey of snow backscattering signatures at these two combined frequencies over both lake and sea ice. For lake ice, we show that X-band VH-polarized backscattering coefficient (σo) and the Ku-band VV/VH-ratio exhibited the highest sensitivity to the snow depth. For sea ice, the highest sensitivity to the snow depth was found from the Ku-band VV-polarised σo and the Ku-band VV/VH-ratio. However, the observed relations were relatively weak, indicating that at least for the prevailing snow conditions, obtaining reliable estimates of snow depth over lake and sea ice would be challenging using only X- and Ku-band backscattering information.
Two Circumpolar Ground Beetle Species (Coleoptera: Carabidae) Were in Hokkaido, Japan in the Late Last Glacial Period
Authors: Shiyake Shigehiko
Published: November 2023

Fossil body parts of the two cold-adapted ground beetle species, Elaphrus lapponicus and Diacheila polita, were found from a deposit dated in the late Last Glacial period in Hokkaido, Japan. The paleoenvironment was estimated from their modern distribution and habitat, along with the results of the paleobotanical studies at the site. The temperature was at least 6 degrees lower than modern in summer, and the area around the site was mostly covered with forest tundra, which can currently be seen in areas further north of Hokkaido.