bluuebunny/crossref_metadata_2025_split huggingface dataset:
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions
Authors: Fernández J. , Valerieva D. , Higuero L. , Sahelices B. 
Published: October 2023

AbstractAutomated industrial welding processes depend on a large number of factors interacting with high complexity resulting in some sporadic and random variability of the manufactured product that may affect its quality. It is therefore very important to have an accurate and stable quality control. In this work, a deep learning (DL) model is developed for semantic segmentation of weld seams using 3D stereo images of the seam. The objective is to correctly identify the shape and volume of the weld seam as this is the basic problem of quality control. To achieve this, a model called UNet$${\mathcal {L}}$$
L
++ has been developed, based on the UNet and UNet++ architectures, with a more complex topology and a simple encoder to achieve a good adaptation to the specific characteristics of the 3D data. The proposed model receives as input a voxelized 3D point cloud of the freshly welded part where noise is abundantly visible, and generates as output another 3D voxel grid where each voxel is semantically labeled. The experiments performed with parts built by a real weld line show a correct identification of the weld seams, obtaining values between 0.935 and 0.941 for the Dice Similarity Coefficient (DSC). As far as the authors are aware, this is the first 3D analysis proposal capable of generating shape and volume information of weld seams with almost perfect noise filtering.
Graph similarity learning for change-point detection in dynamic networks
Authors: Sulem Déborah , Kenlay Henry , Cucuringu Mihai , Dong Xiaowen 
Published: October 2023

AbstractDynamic networks are ubiquitous for modelling sequential graph-structured data, e.g., brain connectivity, population migrations, and social networks. In this work, we consider the discrete-time framework of dynamic networks and aim at detecting change-points, i.e., abrupt changes in the structure or attributes of the graph snapshots. This task is often termed network change-point detection and has numerous applications, such as market phase discovery, fraud detection, and activity monitoring. In this work, we propose a data-driven method that can adapt to the specific network domain, and be used to detect distribution changes with no delay and in an online setting. Our algorithm is based on a siamese graph neural network, designed to learn a graph similarity function on the graph snapshots from the temporal network sequence. Without any prior knowledge on the network generative distribution and the type of change-points, our learnt similarity function allows to more effectively compare the current graph and its recent history, compared to standard graph distances or kernels. Moreover, our method can be applied to a large variety of network data, e.g., networks with edge weights or node attributes. We test our method on synthetic and real-world dynamic network data, and demonstrate that it is able to perform online network change-point detection in diverse settings. Besides, we show that it requires a shorter data history to detect changes than most existing state-of-the-art baselines.
Multi-modal Affect Detection Using Thermal and Optical Imaging in a Gamified Robotic Exercise
Authors: Mohamed Youssef , Güneysu Arzu , Lemaignan Séverin , Leite Iolanda 
Published: October 2023

AbstractAffect recognition, or the ability to detect and interpret emotional states, has the potential to be a valuable tool in the field of healthcare. In particular, it can be useful in gamified therapy, which involves using gaming techniques to motivate and keep the engagement of patients in therapeutic activities. This study aims to examine the accuracy of machine learning models using thermal imaging and action unit data for affect classification in a gamified robot therapy scenario. A self-report survey and three machine learning models were used to assess emotions including frustration, boredom, and enjoyment in participants during different phases of the game. The results showed that the multimodal approach with the combination of thermal imaging and action units with LSTM model had the highest accuracy of 77% for emotion classification over a 7-s sliding window, while thermal imaging had the lowest standard deviation among participants. The results suggest that thermal imaging and action units can be effective in detecting affective states and might have the potential to be used in healthcare applications, such as gamified therapy, as a promising non-intrusive method for recognizing internal states.
Grim up North? Exploring the diet of urban populations in post-medieval Greater Manchester, England, using stable isotope analysis
Authors: Chidimuro Blessing , Holst Malin , Newman Sophie , Keefe Katie , Collins Matthew J. , Alexander Michelle 
Published: October 2023

AbstractHistorical evidence suggests that social status played a major role in all aspects of society in eighteenth–nineteenth century England. We present an insight into how socioeconomic status affected the dietary habits of two post-medieval urban populations from Greater Manchester, northwest England. Stable carbon (δ13C) and nitrogen (δ15N) isotope ratios were measured in humans from Cross Street Unitarian Chapel (middle class:n = 90) in Manchester city centre and Chapel Street, Hazel Grove (lower status with few middle-class individuals:n = 34). A large sample of 111 faunal remains from Cross Street (n = 37) and Norton Priory, Cheshire (n = 74), provide an animal baseline, dramatically expanding the post-medieval animal isotopic dataset for England. Sheep from Norton Priory show high δ15N isotope values indicative of saltmarsh grazing. Results for human populations revealed a mixed diet of plant and animal protein from C3terrestrial environments with some potential contribution of aquatic protein. Significant differences revealed between the two populations indicate unequal access to food by status. Intra-population variation at Hazel Grove suggests dietary distinctions by age and sex. Non-adults consumed diets poor in high trophic level protein, whereas adult males consumed greater amounts of animal products. Conversely, the data suggests that at the wealthier Cross Street, there was greater access to high trophic level protein by all. Comparisons between the Manchester populations and those from similar socioeconomic classes from the Midlands and southern England, including London, reveal a bioarchaeological picture of dietary diversity and differential access to resources which impact significantly on well-being during this tumultuous period of industrial England.
Heart Rate Variability, Autonomic Reactivity, and Emotion Regulation during Sadness Induction in Somatic Symptom Disorder
Authors: Krempel Laura , Stricker Johannes , Martin Alexandra 
Published: October 2023

AbstractBackgroundPreliminary evidence suggests altered heart rate variability (HRV) and impaired emotion regulation (ER) in somatic symptom disorder (SSD). Moreover, HRV can be considered an index of ER. Yet, to date, research on HRV and emotional reactivity in SSD is scarce and findings are inconsistent. Thus, this study aimed to examine ER differences, HRV at rest, and in response to emotion induction in persons with SSD compared to controls.MethodsThe sample comprised 44 persons with SSD (DSM-5; 79.5% female,Mage= 45.7,SD = 14.7) and 41 persons without SSD (non-SSD; 78% female,Mage= 44.2,SD = 14.7). We assessed the participants’ somatic symptom severity, ER, and control variables (e.g., depressive symptoms). Frequency and time domain HRV by ECG and subjective emotional states were measured at rest, under sadness induction, and during recovery periods. We evaluated baseline between-group differences witht-tests, and HRV and emotional reactivity and recovery with repeated measures ANOVAs.ResultsWe found no significant differences in resting state HRV between persons with and without SSD. Regarding reactivity and recovery, SSD group showed lower reactivity in SDNN (standard deviation of NN interval) than non-SSD group. Moreover, SSD group reported more maladaptive ER techniques (e.g. rumination) and a higher effort to regulate their emotions during the experiment than non-SSD group.ConclusionsThe study indicated impaired ER in persons with SSD. This finding showed more clearly in self-report than in HRV. Further research on HRV reactivity including tasks evoking other negative emotions in persons with SSD is required.
Economic Complexity and Renewable Energy Effects on Carbon Dioxide Emissions: a Panel Data Analysis of Middle East and North Africa Countries
Authors: Al-Ayouty Iman 
Published: October 2023

AbstractWith the rising economic complexity of the world economy, applied research has been focusing on the economic complexity-environmental quality nexus. Many of the Middle East and North Africa (MENA) countries and Turkey show relatively low economic complexity with undiversified product spaces. The present study is thereby motivated to investigate the economic complexity-environmental quality relation for the MENA countries and Turkey. Using panel data for eighteen MENA countries and Turkey over the period 1990–2020, the fully modified ordinary least squares method of estimation is employed in two separate models, and Granger causality tests are performed. Each model includes the relation of economic complexity to carbon dioxide (CO2) emissions, one form of energy (renewable or non-renewable), population density and variables to validate the environmental Kuznets curve (EKC) hypothesis. In model (1), a negative and statistically significant renewable energy consumption has a mitigating effect on CO2 emissions, though economic complexity and its interaction with renewable energy consumption are not statistically significant. In model (2), a positive and statistically significant non-renewable energy indicates that increased fossil fuel reliance increases CO2 emissions (deteriorating environmental quality), while a negative and statistically significant economic complexity and population density reduce CO2 emissions (improving environmental quality), respectively. The EKC hypothesis is validated for the MENA countries and Turkey in both models (1) and (2), and Granger causality test results are given. Among the key policy implications are that the MENA countries and Turkey must recognize that increasing GDP and industrialization must be coupled with moving from less- to more-knowledge-based structures.
Quantifying Multi-hazards and Impacts Over Different Growth Periods of Maize: A Study Based on Index Construction
Authors: Chen Dan , Guo Ying , Wang Rui , Zhao Yunmeng , Li Kaiwei , Zhang Jiquan , Liu Xingpeng , Tong Zhijun , Zhao Chunli 
Published: October 2023

AbstractOwing to the complexity and variability of global climate, the study of extreme events to ensure food security is particularly critical. The standardized precipitation requirement index (SPRI) and chilling injury index (ICi) were introduced using data from agrometeorological stations on the Songliao Plain between 1981 and 2020 to identify the spatial and temporal variability of drought, waterlogging, and low-temperature cold damage during various maize growth periods. Compound drought and low-temperature cold damage events (CDLEs) and compound waterlogging and low-temperature cold damage events (CWLEs) were then identified. To measure the intensity of compound events, the compound drought and low-temperature cold damage magnitude index (CDLMI), and compound waterlogging and low-temperature cold damage magnitude index (CWLMI) were constructed by fitting marginal distributions. Finally, the effects of extreme events of various intensities on maize output were examined. The findings demonstrate that: (1) There were significant differences in the temporal trends of the SPRI and ICi during different maize growth periods. Drought predominated in the middle growth period (MP), waterlogging predominated in the early growth period (EP) and late growth period (LP), and both drought and waterlogging tended to increase in intensity and frequency. The frequency of low-temperature cold damage showed a decreasing trend in all periods. (2) The CDLMI and CWLMI can effectively determine the intensity of CDLEs and CWLEs in the study area; these CDLEs and CWLEs had higher intensity and frequency in the late growth period. (3) Compared to single events, maize relative meteorological yield had a more significant negative correlation with the CDLMI and CWLMI.
Life cycle assessment of the manufacturing and operation of distillation column for eliminating volatile and organic halogen compounds from process wastewater
Authors: Do Thi Huyen Trang , Toth Andras Jozsef 
Published: October 2023

AbstractDistillation serves as the foremost method for commercial-scale separation of fluid mixtures. Widely applied in wastewater treatment, it is the preferred choice for isolating volatile multi-component mixtures into pure substances. Distillation technology offers notable economic benefits due to its easy implementation, high efficiency, productivity, and robust safety features. This study examines the environmental impacts associated with the production and usage of a distillation, specifically in treating pharmaceutical process wastewater containing organic halogen compounds (AOX). The analysis adopts a 'gate-to-gate' approach, with the specified functional unit (FU) set at 1 kg of treated effluent containing no more than 8 ppm of AOX and less than 1000 mg O2/L of Chemical Oxygen Demand (COD). In this work, Life Cycle Assessment (LCA) is conducted using Product Environmental Footprint (PEF) and Recipe 2016 Endpoint (H) V1.06 methodologies, utilizing the SimaPro V9.3.0.3 software in conjunction with the Ecoinvent V3.8 database. Analysis results have shown the emission of 1.11 × 10–2 kg CO2-eq, in which operational and production processes contribute 91.9% and 8.1%, respectively. To mitigate adverse effects, alternative energy sources, i.e., solar, offshore wind, and onshore wind are integrated into the distillation procedure. The substitution of hard coal with solar, offshore wind, and onshore wind energy displays the potential to significantly reduce climate change impact by 64.3%, 62.9%, and 62.8%, respectively.Article Highlights

Distillation process undergoes a thorough life cycle assessment from production to application.

Distillation process requires high energy and emits 1.11 × 10–2 kg CO2-eq per functional unit.

The operational phase dominates over 90% in three damage categories: human health, ecosystems, and resources.
ACTIV-6: Operationalizing a decentralized, outpatient randomized platform trial to evaluate efficacy of repurposed medicines for COVID-19
Authors:   The Accelerating Covid-19 Therapeutic Interventions and Vaccines (ACTIV)-6 Study Group
Published: October 2023

Abstract
Despite the availability of vaccinations, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to cause Coronavirus Disease 2019 (COVID-19) infection with a spectrum of disease in the acute setting. Transmission, infection, and severe disease remain common. There is a critical need to establish treatment regimens in the ambulatory setting that can reduce symptom burden and potentially prevent progression to severe disease and death. Many existing medicines previously approved for other uses may have benefit but remain unproven in informative clinical trials.
Accelerating COVID-19 Therapeutic Interventions and Vaccines (ACTIV)-6 is a decentralized, placebo-controlled, double-blind, randomized, platform trial that has now enrolled more than 7500 participants and has reported on the effectiveness of ivermectin at two doses, fluticasone, and fluvoxamine for helping people with COVID-19. With additional repurposed therapies added to the platform, ACTIV-6 continues to enroll symptomatic outpatients aged ≥ 30 years with a confirmed positive PCR or antigen test for SARS-CoV-2. Potential participants are screened and enrolled online, through a call center, or facilitated by local study sites. Participants consent electronically and are randomized to placebo or to one of the open study drugs for which they are eligible at the time of enrollment. A shared, contemporary placebo approach is used. Participants receive study drug in the mail and remain on study for up to 180 days. While enrolled, electronic patient-reported outcome assessments are used to monitor symptoms, healthcare utilization, and mortality. The primary endpoint is time to recovery or a composite of hospitalization and mortality within 28 days. Symptoms, acute healthcare utilization, and the Patient-Reported Outcomes Measurement Information System-29 are collected for up to 180 days.
Using a decentralized trial approach allowed the ACTIV-6 platform to increase both reach and rate of enrollment. The decentralized approach did not simplify regulatory oversight, and we found unanticipated challenges in patient behavior and the study drug delivery process. Despite challenges, ACTIV-6 has enrolled thousands of participants from across the USA and continues to test the effectiveness of repurposed medicines for treating COVID-19. Our lessons learned contribute to the emerging understanding of how to optimize decentralized trials.
The CJEU’s give-and-give relationship with executive actors in times of crisis
Authors: Wallerman Ghavanini Anna 
Published: October 2023

AbstractIn a crisis, ordinary rules must often give way to a more expedient approach. Such emergency competences tend to favour executive decision-making over legislative procedures. In a European Union (EU) shaken by successive crises, this situation risks leading to permanent competence creep. While considerable attention has been devoted to the impact of crisis on legal and political decision-making within the Union, the position of the Court of Justice (CJEU) – and its impact on the distribution of powers within the EU – has been less researched. This Article fills the gap by exploring how the Court reviews the exercise of power in times of crisis by executive actors at the Union and Member State levels. Using migration law as a case study, it qualitatively and quantitatively examines how the CJEU has responded to crisis both in its scrutiny of measures of containment, and through its adjudication of migration cases in general before and after the acute phase of the 2015 refugee crisis. The Article shows that the crisis has led the CJEU to take a more lenient approach towards the executive powers at both the Union and the Member State level. It argues that this effectively amounts to a withdrawal from the judicial control function and enables an expansion of executive power that is likely to have effects lasting beyond any given emergency.
The EU Court of Justice as a relational actor: an introduction
Authors: Wallerman Ghavanini Anna 
Published: October 2023

AbstractThis introductory Article sets out the background and summarises the content of the Symposium on ‘The Court of Justice of the European Union (CJEU) as a Relational Actor’. Observing that the CJEU has been a key player in shaping European legal integration, the Symposium takes as its starting point that courts – and the CJEU is no exception in this regard – are unable to drive developments in isolation. For the Court to carry out its role as guarantor of the Treaties and guardian of the rule of law in the Union, it needs not to isolate itself but to interact with other European Union (EU) and national institutions. Relations, the Symposium argues, are not only unavoidable but also legitimate and even vital for the adequate execution of the judicial function. This introduction briefly explores six of the Court’s most important relationships: those with the other EU institutions; the courts of the Member States; the Member States themselves; the parties appearing before it; other international courts; and the general public. It then summarises the contributions and highlights how they complement each other in examining the CJEU as a relational actor.
Religious Institutions’ Stances towards Autocratization in the Post-Third Wave Period
Authors: Lotfy Dina Osama 
Published: October 2023

AbstractWhile scholars have devoted significant attention to religious institutions’ role in democratization, less attention has been given to their role in autocratization. Moreover, religious economy approaches suggest that religious institutions are flexible to offer whatever is of interest to the marketplace, but here the role the institutions played in the third wave of democratization suggests a stable commitment. I test the impact of religious monopoly and the historical pro-democratizing role on 52 dominant religious institutions’ stances towards autocratic practices related to regime survival in the post-third wave period. Logistic regression models reveal that stronger religious monopolies decrease the probability of opposing regime survival, while the historical pro-democratizing role of the dominant religious groups in the third wave increases the probability. Furthermore, when the religious market is highly monopolized, the commitment to a democratic role in the third wave is weak, and it is strengthened when there is intense religious competition.
THE SUPPRESSION OF THE DRUIDS IN CAESAR'S GALLIC WAR
Authors: Creer Tyler 
Published: October 2023

AbstractAncient testimonia on the Druids are few in number and sparse on details, and they have yielded a broad range of scholarly opinions on the Druids’ function among the Gauls. This article examines the suspiciously limited role played by the Druids in Julius Caesar's Gallic War (= BGall.). Considering the work of both classicists and archaeologists, it argues that, given Caesar's demonstrated propensity for tailoring his portrayals of northern Europeans to fit with his narrative objectives, he deliberately omitted the Druids from nearly all of the Gallic War save for a brief ethnographic digression on the Gauls. This he did in order to downplay the sophistication of the Gauls, and the threat they posed to the Romans, since the Druids were likely a potent source of anti-Roman sentiment during Caesar's time in Gaul, just as they seem to have been in the Early Imperial period.
Notes on hyperelliptic mapping class groups
Authors: Boggi Marco 
Published: October 2023

AbstractHyperelliptic mapping class groups are defined either as the centralizers of hyperelliptic involutions inside mapping class groups of oriented surfaces of finite type or as the inverse images of these centralizers by the natural epimorphisms between mapping class groups of surfaces with marked points. We study these groups in a systematic way. An application of this theory is a counterexample to the genus
$2$
case of a conjecture by Putman and Wieland on virtual linear representations of mapping class groups. In the last section, we study profinite completions of hyperelliptic mapping class groups: we extend the congruence subgroup property to the general class of hyperelliptic mapping class groups introduced above and then determine the centralizers of multitwists and of open subgroups in their profinite completions.
The Real Effects of Financing and Trading Frictions
Authors: Zucchi Francesca 
Published: October 2023

AbstractI develop a model revealing the interplay between a stock’s liquidity and the policies and value of the issuing firm. The model shows that bid-ask spreads increase not only the firm’s cost of capital but also the opportunity cost of cash, then lowering cash reserves, increasing liquidation risk, and reducing firm value. These outcomes are stronger when internalized by liquidity providers, simultaneously leading to a wider bid-ask spread. A two-way relation between the firm and the liquidity of its stock arises, implying that shocks arising within the firm or in the stock market have more complex implications than previously understood.