bluuebunny/crossref_metadata_2025_split huggingface dataset:
Methods to Authenticate Luxury Products: Identifying Key Features and Most Recognized Deficits
Authors: Zimmermann Robert , Udokwu Chibuzor , Kompp Ricarda , Staab Marina , Brandtner Patrick , Norta Alex 
Published: September 2023

AbstractLuxury products are expensive goods of high quality that are produced in limited quantities. Unsurprisingly, the problem of counterfeiting is especially high for such products, causing various issues for sellers and consumers. Therefore, product authentication represents an important endeavor. While traditional approaches such as expert-based product authentication are reliable but expensive, consumer-based approaches are cheaper but significantly more error-prone. Hence, the development of efficient approaches that also consider the advantages of modern technologies, such as, e.g., blockchains, provide high potential for improving the status quo. This work applies a mixed-method approach and reports about a quantitative survey in combination with expert interviews to identify common methods and key features from consumer and seller perspective when authenticating luxury products. This paper is an extended version of previous work presented at the International Conference on Future Data and Security Engineering (FDSE 2022). As such, it additionally provides insights on the most recognized deficits from consumer and seller perspective when authenticating luxury products. Results show that the knowledge of authentication methods is unevenly distributed between experts and consumers. While both consumers and experts are aware of traditional, serial number-based approaches, blockchain-enabled ways of product authentication are only known by experts. However, both groups tend to prefer digital ways of authentication and agree that sellers, followed by producers, and lastly consumers are responsible for ensuring authentic products. Consumers desire many additional features for product authentication than experts. Most desired features include tracking the sales history via, e.g., the blockchain or online directories, the traceability of ownership, or the possibility to conduct home tests for consumers. Most recognized deficits when authenticating luxury products are seen in the difficult implementation of thorough identification methods and the limited reliability of these methods. The results of the paper provide researchers and practitioners with a feature base for developing novel authentication approaches.
A perceptible stacking ensemble model for air temperature prediction in a tropical climate zone
Authors: Mollick Tajrian , Hashmi Galib , Sabuj Saifur Rahman 
Published: September 2023

AbstractBangladesh is one of the world’s most susceptible countries to climate change. Global warming has significantly increased surface temperatures worldwide, including in Bangladesh. According to meteorological observations, the average temperature of the world has risen approximately 1.2 °C to 1.3 °C over the last century. Researchers and decision-makers have recently paid attention into the climate change studies. Climate models are used extensively throughout the nation in studies on global climate change to determine future estimates and uncertainties. This paper outlines a perceptible stacking ensemble learning model to estimate the temperature of a tropical region—Cox’s Bazar, Bangladesh. The next day’s temperature, maximum temperature, and minimum temperature are estimated based on the daily weather database collected from the weather station of Cox’s Bazar for a period of 20 years between 2001 and 2021. Five machine learning (ML) models, namely linear regression (LR), ridge, support vector regression (SVR), random forest (RF), and light gradient boosting machine (LGBM) are selected out of twelve ML models and combined to integrate the outputs of each model to attain the desired predictive performance. Different statistical schemes based on time-lag values play a significant role in the feature engineering stage. Evaluation metrics like mean absolute error (MAE), mean squared error (MSE), mean absolute percentage error (MAPE), and coefficient of determination (R2) are determined to compare the predictive performance of the models. The findings imply that the stacking approach presented in this paper prevails over the standalone models. Specifically, the study reached the highest attainable R2 values (0.925, 0.736, and 0.965) for forecasting temperature, maximum temperature, and minimum temperature. The statistical test and trend analysis provide additional evidence of the excellent performance of the suggested model.
Online Self-Help Acceptance and Commitment Therapy Module for College Students with Higher Gaming Disorder During COVID-19: A Pilot Study
Authors: Ding Dongyan , Pan Mengdie , Wang Wenjuan , Wang Xiucheng , Ma Simin , Yang Yuqing , Huang Yonghui , Guo Menghui , Wu Yizhen 
Published: September 2023

AbstractDuring the COVID-19 pandemic, there was an increase in online gaming behaviour among college students. This study aimed to examine the impact of online self-help interventions consisting of different components within the Acceptance and Commitment Therapy (ACT) framework on college students’ gaming disorder and gaming frequency. Additionally, it evaluated the effectiveness of both interventions in addressing psychological distress among college students during the COVID-19 pandemic. One intervention was a full ACT program, which consists of six core components, while the other intervention focused on the engaged components of ACT (specifically targeting value-based actions). The study employed a 2 conditions (Full ACT vs. Engaged ACT) × 3 times (pre-, mid- and post-program) design to examine the effectiveness of these interventions. Each intervention consisted of 10 sessions, delivered at a frequency of five sessions per week over a 2-week period for both groups. The participants in this study were enrolled in two online classes. Participants with gaming disorder scores in the top 20% were selected and assigned to either the Full group (N = 49) or the Engaged group (N = 41) for the interventions. The study assessed outcome variables, including gaming disorder, psychological flexibility, daily gaming hours, weekly gaming days and psychological distress, at pre-intervention, mid-intervention, post-intervention and one-month follow-up for both groups. No significant differences were observed between the two groups on these outcomes at the pre-intervention stage. The findings of this study indicate that both interventions effectively reduced gaming disorder and weekly gaming frequency, while enhancing psychological flexibility. Nonetheless, the Engaged group exhibited a significant reduction in daily gaming hours. There was no substantial change in psychological distress in either group during and after the intervention. The implications and limitations of this study were also reported.
Race et biologie à l’ère de l’épigénétique. Naturalisme, environnementalisme, constructivisme
Authors: Pontarotti Gaëlle 
Published: September 2023

RésuméLe concept de race a oscillé dès l'origine entre la sphère politico-sociale et la biologie. Si les perspectives sociales ont été dominantes dans la seconde moitié du XXesiècle, une nouvelle forme de naturalisation semble émerger à l’ère de l’épigénétique. Dans cet article, je montre que la conception épigénétique de la race rappelle d'anciennes perspectives externalistes et engage à articuler naturalisme, environnementalisme et constructivisme biosocial. Je souligne qu'elle fait apparaître la race comme une propriété relationnelle, plastique et accidentelle, et les groupes raciaux comme des constructions bio-sociales historiquement contingentes.
Null hypersurfaces in 4-manifolds endowed with a product structure
Authors: Georgiou Nikos 
Published: September 2023

AbstractIn a 4-manifold, the composition of a Riemannian Einstein metric with an almost paracomplex structure that is isometric and parallel defines a neutral metric that is conformally flat and scalar flat. In this paper, we study hypersurfaces that are null with respect to this neutral metric, and in particular we study their geometric properties with respect to the Einstein metric. Firstly, we show that all totally geodesic null hypersurfaces are scalar flat and their existence implies that the Einstein metric in the ambient manifold must be Ricci-flat. Then, we find a necessary condition for the existence of null hypersurface with equal nontrivial principal curvatures, and finally, we give a necessary condition on the ambient scalar curvature, for the existence of null (non-minimal) hypersurfaces that are of constant mean curvature.
Digital health behaviour change interventions in severe mental illness: a systematic review
Authors: Sawyer Chelsea , McKeon Grace , Hassan Lamiece , Onyweaka Henry , Martinez Agulleiro Luis , Guinart Daniel , Torous John , Firth Joseph 
Published: September 2023

AbstractThe use of digital technologies as a method of delivering health behaviour change (HBC) interventions is rapidly increasing across the general population. However, the role in severe mental illness (SMI) remains overlooked. In this study, we aimed to systematically identify and evaluate all of the existing evidence around digital HBC interventions in people with an SMI. A systematic search of online electronic databases was conducted. Data on adherence, feasibility, and outcomes of studies on digital HBC interventions in SMI were extracted. Our combined search identified 2196 titles and abstracts, of which 1934 remained after removing duplicates. Full-text screening was performed for 107 articles, leaving 36 studies to be included. From these, 14 focused on physical activity and/or cardio-metabolic health, 19 focused on smoking cessation, and three concerned other health behaviours. The outcomes measured varied considerably across studies. Although over 90% of studies measuring behavioural changes reported positive changes in behaviour/attitudes, there were too few studies collecting data on mental health to determine effects on psychiatric outcomes. Digital HBC interventions are acceptable to people with an SMI, and could present a promising option for addressing behavioural health in these populations. Feedback indicated that additional human support may be useful for promoting adherence/engagement, and the content of such interventions may benefit from more tailoring to specific needs. While the literature does not yet allow for conclusions regarding efficacy for mental health, the available evidence to date does support their potential to change behaviour across various domains.
The reemergence of the language-of-thought hypothesis: Consequences for the development of the logic of thought
Authors: Cesana-Arlotti Nicolò 
Published: September 2023

Abstract
Quilty-Dunn et al. defended the reemergence of language-of-thought hypothesis (LoTH). My commentary builds up implications for the study of the development of our logical capacities. Empirical support for logically augmented LoT systems calls for the investigation of their logical primitives and developmental origin. Furthermore, Quilty-Dunn et al.'s characterization of LoT helps the quest for the foundation of logic by dissociating logical cognition from natural language.
Incomplete language-of-thought in infancy
Authors: Hochmann Jean-Rémy 
Published: September 2023

Abstract
The view that infants possess a full-fledged propositional language-of-thought (LoT) is appealing, providing a unifying account for infants’ precocious reasoning skills in many domains. However, careful appraisal of empirical evidence suggests that there is still no convincing evidence that infants possess discrete representations of abstract relations, suggesting that infants’ LoT remains incomplete. Parallel arguments hold for perception.
Grammatical tone mapping in Ekegusii
Authors: Hyman Larry M. , Nyamwaro Hildah Kemunto 
Published: September 2023

AbstractA major issue in Bantu morphophonology is how to get the right tones in the right ‘cells’ in the verb paradigm. In many Bantu languages, grammatical tones are assigned to different positions in the verb stem depending on inflectional features of tense, aspect, mood (TAM), polarity and clause type: The same TAM may assign different tones (and different segmental allomorphs) in the affirmative vs. negative and in main vs. relative clauses. Although such ‘melodic tones’ (Odden & Bickmore 2014) are typically restricted to the verb stem (root + suffixes), often also the domain of vowel harmony and other segmental phonology, both the presence and mapping of grammatical tones within the stem cannot be determined without reference to the prefixal inflectional marking of subject, negation, TAM and object which precede the stem. In this article, we discuss three cases in Ekegusii, a Bantu language of Kenya, that require the stem-assigned grammatical tones to look ‘outward’ to morphological and phonological properties of such prefixes: (1) differential mapping according to whether the pre-stem tone-bearing unit is toneless, a derived H(igh) (from H-tone spreading), or underlyingly /H/ (Bickmore 1997, 1999); (2) presence of an object prefix in imperative and subjunctive forms and (3) initial/final tone agreement between the subject prefix and the final vowel of the verb (cf. Rolle & Bickmore (2022). We will show that Ekegusii provides extensive evidence that both the presence of grammatical Hs and their specific mapping, while targeting the stem (root + suffixes), must be ‘globally’ calculated on the basis of the entire morphosyntactic structure of the verb (including features exponed by prefixes).
‘The Hermeneutic Problem of Psychiatry’ and the Co-Production of Meaning in Psychiatric Healthcare
Authors: Spencer Lucienne , Kidd Ian James 
Published: September 2023

Abstract‘The co-production of meaning’ is a phrase that has become entrenched in the field of public mental health, adopted almost as a slogan within the literature. But what does it actually mean? Current definitions gesture toward the very broad idea that co-production involves a collaboration between ‘service users’ and healthcare professionals, each contributing their knowledge to better understand and treat mental health problems. Yet, terms such as ‘equal’ ‘reciprocal’, and ‘partnership’ fail to clarify the nature of this ‘co-production’, and how it can be achieved.To better understand the co-production of meaning, we shall attempt to develop an account of co-production through phenomenological psychopathology. Through Hans Georg Gadamer's remarks on ‘the hermeneutic problem of psychiatry’ two key obstacles to ‘co-production’ emerge: 1) contingent problems, and 2) intrinsic problems. In calling attention to these obstacles, we problematise the concept of ‘co-production’ in public mental health, revealing it to be more complex than originally thought. We conclude by arguing that new developments in phenomenological psychopathology can be used to overcome the limitations of ‘co-production’.
Co-Production is Good, but Other Things are Good Too
Authors: Harcourt Edward , Crepaz-Keay David 
Published: September 2023

AbstractThe world of mental health has become used to the notion of co-production as a good thing. While the paper is not a critical analysis of co-production, the authors make the case that while it is a good thing, it is not the only good thing; and it is neither sufficient, nor necessary for good things to happen in mental health services. Alternative concepts of progressive innovation in this field are introduced. Real world case studies (most of them previously unpublished) are then worked through to test which concept(s) – co-production, or the alternatives, or neither – are the better fit, bearing in mind the complex relationships to be negotiated, not just between service users and mental health professionals, but between service users and members of other professions, and of the general public. Finally, the question is raised as to whether there is anything (such as the flattening of hierarchies or stigma reduction) which all these innovations – co-production and the alternatives – have in common.
Solar Observations with ALMA: A New Frontier
Authors: Bastian T. S. 
Published: September 2023

AbstractSolar observations with the Atacama Large Millimeter-Submillimeter Array (ALMA) became available to the community in late-2016. For the first time, high angular resolution (sub-arcsec) and high-time-resolution (1 s) observations of the Sun became possible at millimeter wavelengths, providing observations of the solar chromosphere that are uniquely complementary to those in O/IR and UV wavelengths. Here, an overview of current ALMA capabilities is provided, selected recent results of ALMA observations of the Sun are highlighted, and future capabilities are outlined.
Solar flare-CME association
Authors: Li Ting 
Published: September 2023

AbstractWe carry out the first statistical study that investigates the flare-coronal mass ejections (CMEs) association rate as function of the flare intensity and the total unsigned magnetic flux (ΦAR) of ARs that produces the flare. Our results show that flares of the same GOES class but originating from an AR of larger ΦAR, are much more likely confined. This implies that ΦAR is a decisive quantity describing the eruptive character of a flare, as it provides a global parameter relating to the strength of the background field confinement. We also calculated the mean twist values α in regions close to the polarity inversion line and proposed a new parameter α / ΦAR to measure the probability for a large flare to be associated with a CME. We find that the new parameter α/ ΦAR is well able to distinguish eruptive flares from confined flares.
How has the solar wind evolved to become what it is today?
Authors: Vidotto A. A. 
Published: September 2023

AbstractIn this contribution, I briefly review the long-term evolution of the solar wind (its mass-loss rate), including the evolution of observed properties that are intimately linked to the solar wind (rotation, magnetism and activity). I also briefly discuss implications of the evolution of the solar wind on the evolving Earth. I argue that studying exoplanetary systems could open up new avenues for progress to be made in our understanding of the evolution of the solar wind.
Automatic Algorithm for Tracking Bipolar Magnetic Regions
Authors: Sreedevi Anu B. , Jha Bibhuti Kumar 
Published: September 2023

AbstractProperties of bipolar magnetic regions (BMRs), particularly, the tilt angle play critical roles in generating the observed polar magnetic field and its reversal. Hence, a long-term study of BMR over its lifetime is crucial not only to understand the solar dynamo but also to identify the origin of the properties of BMR. In our work, we have developed an automatic algorithm to detect and track the BMRs from the line-of-sight (LOS) magnetograms of Michelson Doppler Imager (MDI) for the period of Solar Cycle 23 over its lifetime/disk passage. Here, we present the details of our algorithm and the features of BMR, particularly the tilt angle, magnetic field strength and lifetime.
Photospheric magnetic field variation during solar flares and their implication for the generation of sunquakes
Authors: Vargas Domínguez S. , Caicedo Tez W. , Buitrago Casas J. C. 
Published: September 2023

AbstractSolar flares are an explosive manifestation of the complex magnetic structuring of active regions in the solar atmosphere. The photospheric magnetic field is found to change rapidly, abruptly, and significantly during flaring events. Previous studies are mainly based on line-of-sight or low-cadence data. In this work, we focus on the temporal and spatial evolution of the permanent changes in the magnetic field of solar flares from high-cadence vector data (135 seconds) of the imaging system (dopplergrams and magnetograms) of the SDO/HMI instrument. The highly energetic events under analysis occurred during the solar cycle 24, covering low and high energy ranges, according to GOES classification. This investigation also stands as a crucial input for the characterization and understanding of sunquakes.
Understanding Weak Impulsive Narrowband Quiet Sun Emissions (WINQSEs)
Authors: Oberoi Divya , Mondal Surajit , Sharma Rohit , Bawaji Shabbir , Alam Ujjaini , Biswas Ayan 
Published: September 2023

AbstractThe confluence of data from the Murchison Widefield Array and an imaging pipeline tailored for spectroscopic snapshot images of the Sun at low radio frequencies have led to enormous improvements in the imaging quality of the Sun. These developments have lowered the detection thresholds by up to two orders of magnitude as compared to earlier studies, and have enabled the discovery of Weak Impulsive Narrowband Quiet Sun Emissions (WINQSEs). Their spatial distribution and various other properties are consistent with being the radio signatures of coronal nanoflares hypothesized by Parker (1988) to explain coronal heating in the quiet Sun emissions. We present the status of the multiple projects we have been pursuing to improve the detection and characterisation of WINQSEs, ranging from looking for them in multiple independent datasets using independent detection techniques to looking for their counter parts to estimate the energy associated with them and understanding their morphologies.
Modeling efforts for multi-mission science
Authors: Sasso C. , Rouillard A. P. 
Published: September 2023

AbstractThe Solar Orbiter spacecraft, launched in February 2020, is equipped with both remote-sensing (RS) and in-situ (IS) instruments to record novel and unprecedented measurements of the solar atmosphere and the inner heliosphere. To take full advantage of these new datasets, we have developed tools and techniques to facilitate multi-instrument and multi-spacecraft studies. In particular the yet inaccessible low solar corona below 2 R⊙ can only be observed remotely and techniques must be used to retrieve coronal plasma properties in time and in 3-D space. These properties are useful to drive numerical models and test the different theories proposed to describe the fundamental processes of the solar atmosphere. In addition, the last decades of research have shown that the coupling between the solar corona and the heliosphere is most efficiently studied by combining RS with IS data. During one of the last Solar Orbiter remote sensing windows (March 2022), planned for the Solar Orbiter instruments, we ran complex observation campaigns to maximize the likelihood of linking IS data to their source region near the Sun, by directing some RS instruments to specific targets on the solar disk just days before data acquisition. We show how it is possible to achieve these results directed to improve our understanding of how heliospheric probes connect magnetically to the solar disk.
A new mechanism for the butterfly diagram of the solar cycle
Authors: Zhang Zebin , Jiang Jie , Zhang Haowei 
Published: September 2023

AbstractThe butterfly diagram of the solar cycle is the equatorward migration of sunspot’s emergence latitudes as the solar cycle evolves, which was attributed to the equatorward flow at the base of the convection zone. However, helioseismological studies indicate controversial forms of the flow, and even present poleward flow at the base, which poses a big challenge to the wide-accepted mechanism. So we aim to propose a new mechanism, that is the latitude-dependent radial flux transport.