bluuebunny/crossref_metadata_2025_split huggingface dataset:
Daily middle-term probabilistic forecasting of power consumption in North-East England
Authors: Baviera Roberto , Messuti Giuseppe 
Published: May 2023

AbstractProbabilistic forecasting of power consumption in a middle-term horizon (few months to a year) is a main challenge in the energy sector. It plays a key role in planning future generation plants and transmission grid. This paper proposes a novel model that (i) incorporates seasonality and autoregressive features in a traditional time-series analysis and (ii) includes weather conditions in a parsimonious machine learning approach, known as Gaussian Process. Applying to a daily power consumption dataset in North East England, provided by one of the largest energy suppliers, we obtain promising results in Out-of-Sample density forecasts up to one year, even using a small dataset, with only a two-year calibration set. For the evaluation of the achieved probabilistic forecasts, we consider the pinball loss—a metric common in the energy sector—and we assess the coverage—a procedure standard in the banking sector after the introduction of Basel II Accords—also running the conditional and unconditional tests for probability intervals. Results show that the proposed model outperforms benchmarks in terms of both accuracy and reliability.
Nutrients in tropical and temperate rivers and floodplains – comparison of the Rivers Songkhram (Thailand) and Narew (Poland)
Authors: Walalite Tanapipat , Dekker Stefan C. , Schot Paul P. , Kardel Ignacy , Okruszko Tomasz , Wassen Martin J. 
Published: May 2023

AbstractEcological processes in floodplains may function differently across climate regions. We compared the river discharge, water chemistry, and nutrient budget and balance of floodplain vegetation in a temperate climate (River Narew, Poland) with those in a tropical climate (River Songkhram, Thailand). Both rivers show a discharge regime with a flood pulse, following snowmelt (Narew) or monsoon rainfall (Songkhram), with peak discharges roughly 25 times higher in the River Songkhram. Electrical Conductivity (EC) values of both rivers are generally comparable, while nutrient concentrations are somewhat higher in the temperate River Narew (with total phosphorus (TP) approximately 1.5 and total inorganic nitrogen (TIN) approximately 2.2 times higher than in Songkhram). A comparison of the nutrient budget of floodplain vegetation suggests that soil is the most important source of nutrients for most vegetation types, i.e., Narew sedge (N), Narew forest floor (N and P), Songkhram bamboo (N and P), and Songkhram grass (P). Additionally, floodwater is the main input source of P for the Narew sedge and a secondary input source for Songkhram grass. Vegetation close to the river tends to have higher productivity, emphasizing the nutrient-filtering function of floodplain vegetation. For both rivers, nutrient input into the floodplains by floodwater is higher than nutrient export from the floodplains, indicating that both floodplains have a nutrient sink function. These findings demonstrate that the floodwater pulse is a source of nutrient input for floodplain vegetation in both temperate and tropical climates, with the soil playing a vital role in the nutrient budgets and balance.
Convergence analysis of approximation formulas for analytic functions via duality for potential energy minimization
Authors: Hayakawa Satoshi , Tanaka Ken’ichiro 
Published: May 2023

AbstractWe investigate the approximation formulas that were proposed by Tanaka & Sugihara (IMA J. Numer. Anal. 39(4):1957–1984, 2019), in weighted Hardy spaces, which are analytic function spaces with certain asymptotic decay. Under the criterion of minimum worst error of n-point approximation formulas, we demonstrate that the formulas are nearly optimal. We also obtain the upper bounds of the approximation errors that coincide with the existing heuristic bounds in asymptotic order by a duality theorem for the minimization problem of potential energy.
Opportunities and challenges of bio-based fertilizers utilization for improving soil health
Authors: Kurniawati Ari , Toth Gergely , Ylivainio Kari , Toth Zoltan 
Published: May 2023

AbstractBio-based fertilizers (BBFs) have been promoted as a solution to help manage bio-waste problems and improve soil health conditions. Their potential is to replace mineral fertilizers due to nonrenewable energy dependency and the accumulation that threatens environmental issues. Currently, laboratory and field-based literature have been growing since European Union (EU) looks BBFs as the future of agriculture bio-based products. Nevertheless, it is worth to summarizing the results on a regular basis. The added value of this work is to study the opportunities of bio-based fertilizer utilization to sustain plant productivity and investigate the challenges to water footprints and human health. This study found that contamination of heavy metals and pathogens is the main problems of BBFs implementation which need more attention to develop the technology process including the environmental risk assessments. Furthermore, compared to mineral fertilizers, BBFs have obstacles to getting social acceptance due to the challenges of transportation and production cost, the concentration of nutrients, matching crops, and policy framework. To sum up, BBF is a long-run scheme that should be started to tackle global issues since the potency as energy alternative sources to support the circular economy paradigm.
A novel pyroptosis-associated lncRNA LINC01133 promotes pancreatic adenocarcinoma development via miR-30b-5p/SIRT1 axis
Authors: Li Jingwei , Lin Jiewei , Ji Yuchen , Wang Xuelong , Fu Da , Wang Weishen , Shen Baiyong 
Published: May 2023

Abstract

Purpose
Pancreatic adenocarcinoma (PAAD) remains a highly aggressive gastrointestinal malignancy with a dismal prognosis. Pyroptosis has a key role in tumor development. Long noncoding RNAs (lncRNAs) are involved in tumorigenesis and pyroptosis regulation. However, the prognostic potential and function of pyroptosis-related lncRNAs (PRLs) in PAAD remain unclear. We aimed to identify PRLs with promising predictive value for PAAD prognosis and investigate the mechanism by which PRLs affect pyroptosis and PAAD development.

Methods
Key genes that regulate pyroptosis were determined from previous studies, and PRLs were identified from lncRNAs shown to be co-expressed in The Cancer Genome Atlas. Cox analysis and the least absolute shrinkage and selection operator (LASSO) regression model was used to establish a prognostic PRL signature. The clinical significance and functional mechanisms of LINC01133 were explored in vitro and in vivo.

Results
A seven-lncRNA signature was established and the high-risk subgroup exhibited a shorter survival time. With lower immune infiltration abundance, poor immune function, and higher tumor mutational burden (TMB), the high-risk subgroup reflected a more immunosuppressive status with a greater scope for benefiting from immunotherapy. After LINC01133 knockdown, PAAD cells showed lower viability and higher pyroptosis-related gene expression. LINC01133 functioned as a competing endogenous RNA to sequester miR-30b-5p from sponging SIRT1 mRNA to inhibit PAAD pyroptosis.

Conclusion
With significant prognostic value, our PRL signature are involved in the biological processes of PAAD cells and associated with the immune environment. LINC01133 suppresses pyroptosis to promote PAAD development and could serve as a potential target for PAAD treatment.
Case report. Urosymfyseale fistels na prostaatkankerbehandeling
Authors: Maassen van den Brink Martijn , Hermans Tom J. N. , Jonkers Frank L. G. , Koldewijn Evert L. 
Published: May 2023

SamenvattingWij presenteren casuïstiek van drie patiënten met een urosymfyseale fistel (USF), een zeldzame complicatie na behandeling van het prostaatcarcinoom. Een USF ontstaat meestal als gevolg van een chirurgische behandeling van een prostaatcarcinoom in combinatie met aanvullende radiotherapie en/of postoperatieve endoscopische interventies. Recidiverende urineweginfecties, (chronische) pubische of perineale pijn tijdens mobilisatie en/of tekenen van osteomyelitis kunnen duiden op de aanwezigheid van een USF. Diagnostiek vindt plaats op basis van een urethrocystoscopie en een MRI-scan van het bekken. Met deze casus laten wij zien dat bij falen van conservatieve therapie patiënten succesvol behandeld kunnen worden middels een chirurgische resectie van het fistelkanaal, het aanleggen van een urinedeviatie en lokale en systemische behandeling van de osteomyelitis.
Integration or separation? The future of the English small-scale coastal fishery
Authors: Korda Rebecca , Gray Tim , Stead Selina M. 
Published: May 2023

AbstractThe decline of inshore or small-scale coastal fisheries (SSCF) in many countries across the world has been well-documented in major studies published during the last 10 years. Researchers report decreasing stocks of marketable fish, inadequate fish quota allocations, and virtual exclusion from fisheries management decision-making bodies. The situation in England is a case in point, where many SSCF are subject to these pressures to the point that their livelihoods are threatened. A recent initiative sponsored by an industry agency to safeguard the position of the inshore sector aims to protect SSCF in England from decline and possible extinction by integrating it into the mainstream fishing industry and ensuring its representation on a proposed co-management body which would share decision-making between industry and government. However, drawing on the literature, archival documents, newspaper articles, and personal communications, we conclude that integrating all parts of the fleet together and setting up shared co-management arrangements is not a guarantee of SSCF survival because integration would tie SSCF down to the agenda of the large-scale fisheries (LSF) sector with no certainty that the special needs of SSCF would be met if they conflicted with the interests of LSF. Instead, our findings lead us to recommend forging a separatist path for SSCF, recognising its distinctive identity as an inshore fishery closely connected with coastal communities. We propose, therefore, two independent fisheries each with its own mode of management: SSCF governed by a regime of community quotas and exclusive spatial access to inshore waters; and LSF governed by a regime of individual transferable quotas (ITQs).
Clinical Trial Data Transparency in the EU: Is the New Clinical Trials Regulation a Game-Changer?
Authors: Zemła-Pacud Żaneta , Lenarczyk Gabriela 
Published: May 2023

AbstractThe benefits of access to clinical trial data are related to their inestimable value from the perspective of clinical trial participants, society as a whole, public health systems and scientific progress. In light of the development of innovative data analysis technologies, access to raw clinical trial data opens up an ever-widening array of possibilities: it can profoundly facilitate machine data analysis for, inter alia, hypothesis generation, risk modelling, counterfactual simulation and – finally – drug repurposing and development. The enactment of the new Clinical Trials Regulation (EU) No. 536/2014 (CTR) and introduction of the Clinical Trials Information System (CTIS) were heralded as ensuring a level of transparency in clinical trials that is sufficient to contribute to protecting public health and fostering the innovation capacity of European medical research, while recognizing the legitimate economic interests of sponsors. This paper presents the hitherto binding rules for the disclosure of clinical trial data and, against this background, their new framework, introduced by the CTR. In addition to assessing whether the CTR’s objectives are fulfilled, this paper examines whether the latest changes impact the hitherto existing rules on protection of regulatory data via regulatory exclusivities. Finally, it points out concerns regarding whether data gathered in the CTIS can be efficiently used by innovative data analysis technologies for further processing for both commercial and non-commercial purposes.
Entwicklung des Concept-Inventory CCCI-422 zu den naturwissenschaftlichen Grundlagen des Klimawandels
Authors: Schubatzky Thomas , Wackermann Rainer , Wöhlke Carina , Haagen-Schützenhöfer Claudia , Jedamski Marko , Lindemann Hannes , Cardinal Kai 
Published: May 2023

ZusammenfassungDer aktuelle Klimawandel stellt unsere Gesellschaft, besonders zukünftige Generationen, vor große Herausforderungen. Ein grundlegendes Verständnis des Klimawandels kann nicht nur Jugendlichen dabei helfen, falsche oder widersprüchliche Darstellungen besser einzuschätzen, um so am gesellschaftlichen Diskurs zum Thema Klimawandel teilhaben zu können. Um Aussagen über das Verständnis von zentralen fachlichen Inhalten zum Klimawandel zuverlässig treffen zu können, braucht es geeignete Testinstrumente. Für die Entwicklung eines Concept Inventories zu den naturwissenschaftlichen Grundlagen des Klimawandels (den wir CCCI-422 nennen) wurden zentrale fachliche Inhalte identifiziert, offene Aufgaben entwickelt und schließlich Distraktoren und Attraktoren aus insgesamt über 50 Interviews abgeleitet. Anschließend wurde der Concept Inventory in mehreren Pilotierungs- und Validierungsstudien eingesetzt, um so unterschiedliche Argumente, die für den Einsatz des CCCI-422 sprechen, zu sammeln. Es wurde etwa eine Teilstudie durchgeführt, um ein Argument für die externe Validität der Testwertinterpretation zu formulieren. Dabei zeigten sich theoretisch angenommene Unterschiede auch in den Personenfähigkeiten. In zwei weiteren Teilstudien konnten zusätzlich Argumente für die Instruktionssensitivität des Concept Inventories formuliert werden. Als Argument für die Konstruktvalidität lässt sich zudem auf Basis von Dimensionsanalysen eine eindimensionale sowie fünfdimensionale Struktur ableiten. Diese fünf Dimensionen entsprechen den fünf theoretisch abgeleiteten Inhaltsbereichen, wobei tendenziell Unterschied Wetter – Klima der leichteste und Atmosphäre unserer Erde der schwerste Inhaltsbereich sind. Wir plädieren daher dafür, dass der CCCI-422 abhängig vom Einsatzzweck als eindimensionaler oder fünfdimensionaler Concept Inventory genutzt werden kann. In diesem Beitrag wird der entwickelte Concept Inventory inklusive seinem Entstehungsprozess vorgestellt, der als Onlinematerial zur Nutzung zur Verfügung gestellt wird.
Modelling 3D dynamics of offshore lattice jib cranes by means of the rigid finite element method
Authors: Iwona Adamiec-Wójcik , Lucyna Brzozowska , Łukasz Drąg , Marek Metelski , Stanisław Wojciech 
Published: May 2023

AbstractOffshore cranes require particularly careful design due to the difficult environmental conditions in which they work. This paper presents a 3D model of the dynamics of an offshore crane with a truss jib formulated by means of the rigid finite element method. The inertial features of the truss members are assigned to nodes whose rotational and translational displacements are degrees of freedom. Flexible features of the truss members are modelled by massless and dimensionless spring–damping elements (sde). The computer programme developed on the basis of the model is verified and validated, and good correspondence of the authors’ own results with those obtained using commercial FEM package is achieved. Computer simulations are carried out for the light crane used on the wind platforms. The influence of the base movements (sea waves) on the system are also investigated. Lifting a load from a supply vessel and the load on the system during rotational movement of the crane are simulated too. Finally, conclusions concerning the influence of the movement conditions on the overload coefficient and deflections of the crane boom are formulated.
Attention-based spatial–temporal multi-graph convolutional networks for casualty prediction of terrorist attacks
Authors: Hou Zhiwen , Zhou Yuchen , Wu Xiaowei , Bu Fanliang 
Published: May 2023

AbstractAt present, terrorism has become an important factor affecting world peace and development. As the time series data of terrorist attacks usually show a high degree of spatial–temporal correlation, the spatial–temporal prediction of casualties in terrorist attacks is still a significant challenge in the field of counter-terrorism. Most of the existing terrorist attack prediction methods lack the ability to model the spatial–temporal dynamic correlation of the time series data of terrorist attacks, so they cannot yield satisfactory prediction results. In this paper, we propose a novel Attention-based spatial–temporal multi-graph convolutional network (AST-MGCN) for casualty prediction of terrorist attacks. Specifically, we construct the spatial adjacency graph and spatial diffusion graph based on the different social-spatial dynamic relationships of terrorist attacks and determine the multi-scale period of time series data of terrorist attacks by using wavelet transform to model the temporal trend, period and closeness properties of terrorist attacks. The AST-MGCN mainly consists of spatial multi-graph convolution for extracting social-spatial features in multi-views and temporal convolution for capturing the transition rules. In addition, we also use the spatial–temporal attention mechanism to effectively capture the most relevant spatial–temporal dynamic information. Experiments on public datasets demonstrate that the proposed model outperforms the state-of-the-art baselines.
Introduction and Clinical Analyses of an Accelerometer-Based Mobile Gait Assessment to Evaluate Neuromotor Sequelae of Concussion in Adolescents and Adults
Authors: Lecci Len , Williams Mark , Dugan Kelly , Zeiger Ken , Laney Sophia , Bruin Christine , Cummings Pete , Keith Julian 
Published: May 2023

AbstractA growing consensus among concussion experts is that a formal gait assessment is an essential component in return-to-play decisions. Concussion research illustrates that gait variables follow a pattern of recovery that may be more protracted than cognitive recovery, suggesting that gait dynamics may be more sensitive to the sequelae of concussion, and accelerometer data may enhance that sensitivity. However, pediatric neuropsychologists have few available options for quantitatively assessing gait. We here introduce a novel gait technology, the BioKinetoGraph (BKG), that provides multiple metrics for assessing gait, including within the domains of power, stride, balance (stability), and symmetry. We demonstrate how BKG data can be collected using a mobile application called SportGait, which is available for use on any smartphone. We present data illustrating the test–retest reliability of the mobile BKG in a sample of 4150 ostensibly healthy individuals, with an overall mean correlation coefficient of .79 between two walks across the assessed domains. We also provide quantitative and qualitative data to illustrate recovery, including a presentation of norm- and self-referenced comparisons. Additional recovery data is presented using qualitative information in the form of stabilogram and displacement graphs. Because the BKG is broadly available, reliable, valid, and does not require extensive or costly equipment (i.e., only requiring a mobile device and the App), it represents a significant advancement in quantifying gait in a wide range of settings.
Total Orderization Invariant Maps on Distributive Lattices
Authors: Schwanke Christopher Michael 
Published: May 2023

AbstractGiven any finite subset A of order n of a distributive lattice and $$k\in \{1,\ldots ,n\}$$

k
∈
{
1
,
…
,
n
}

, there is a natural extension of the median operation to n variables which generalizes the notion of the kth smallest element of A. By applying each of these operations to A, a totally ordered set to(A) is obtained. We refer to to(A) as the total orderization of A. After developing a brief theory of total orderization invariant maps on distributive lattices, it is shown in this paper how these functions generalize and provide new characterizations for symmetric continuous positively homogeneous functions, bounded orthosymmetric multilinear maps, and certain power sum polynomials on vector lattices. These theorems generalize several results by Bernau, Huijsmans, Kusraev, Azouzi, Boulabiar, Buskes, Boyd, Ryan, and Snigireva and in turn reveal novel properties of the various maps studied in this paper.
Effects of user factors on user experience in virtual reality: age, gender, and VR experience as influencing factors for VR exergames
Authors: Kojić Tanja , Spang Robert , Vergari Maurizio , Meier Luis , Möller Sebastian , Voigt-Antons Jan-Niklas 
Published: May 2023

AbstractAs virtual reality (VR) technology is extensively developing in past years, more and more people are using it in different fields. One of the fast-developing areas in VR is exergaming, a combination of physical exercise and a game. VR exergames that aim to engage people in physical activity should look and feel good for users regardless of their age, gender, or their previous VR experience with similar technologies. However, recent studies showed that those factors are influencing the user experience (UX) with virtual reality. Building on top of the initial study that has reported on the effect of human influencing factors for exergaming, with this work, we investigated the influence of user parameters (such as age, gender, and previous VR experience) on their motivation for sports and VR exergaming. The study was done using a crowdsourcing platform to recruit a diverse set of participants, with the aim to explore how different user factors are connected to sports motivation. Results show significant differences in the user’s sports motivation and affinity for technology interaction depending on the age group, gender, previous experience with VR, their weekly exercise routine, and how much money they spend on sports yearly.
On the homology language of HDA models of transition systems
Authors: Kahl Thomas 
Published: May 2023

AbstractGiven a transition system with an independence relation on the alphabet of labels, one can associate with it a usually very large symmetric higher-dimensional automaton. The purpose of this paper is to show that by choosing an acyclic relation whose symmetric closure is the given independence relation, it is possible to construct a much smaller nonsymmetric HDA with the same homology language.
Crusades, Christ, and Christmas
Authors: Strømmen Hannah M. 
Published: May 2023

AbstractWhat is striking in the twenty years since 9/11 is not only the renewed attention to religion in the Western public sphere but the forms this attention has taken. Suspicion towards Islam has intensified. Narratives in which the West and Islam are conflicting and clashing entities have become entrenched. In Europe, anti-Muslim rhetoric has reached fever-pitch in far-right movements. What has gone largely unnoticed, however, is the Bible-use that can be found in the programmes, protests and proclamations of far-right groups and actors. The British far-right organisation Britain First fosters one example in recent years of such Bible-use. Far from accidental or negligible, I argue that contemporary far-right Bible-use may look banal and even benign, but it masks toxic and violent attitudes to Islam. This Bible-use demonstrates the way references to religion have come to replace overt references to race in the Islamophobic discourse of the far right. In a post-9/11 context, I contend, where forms of Islamophobia take extreme and mainstream form, it is crucial that biblical scholars identify the function the Bible has in stoking divisions and drawing distinctions between a Christian West and an Islamic other.