bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diabetes Remission After Bariatric Surgery: A 10-Year Follow-Up Study
Authors: Meira Inês , Menino João , Ferreira Patrícia , Leite Ana Rita , Gonçalves Juliana , Ferreira Helena Urbano , Ribeiro Sara , Moreno Telma , Silva Diana Festas , Pedro Jorge , Varela Ana , Souto Selma , Freitas Paula , da Costa Eduardo Lima , Queirós Joana , Group CRIO 
Published: December 2024

Abstract
Introduction
Treatment of type 2 diabetes (T2DM) in patients with obesity can be challenging. Metabolic and bariatric surgery (MBS) has shown promising results in improving glycemic control and even achieving remission in T2DM patients with obesity. However, the durability of glycemic improvements in T2DM patients following MBS remains insufficiently studied.

Aim
Determine the incidence of durable remission and relapse of T2DM rates 10 years after MBS, characterize the glycemic profile after surgery, and identify factors predicting persistent remission of T2DM.

Methods
Retrospective observational study of T2DM patients undergoing MBS between 2010 and 2013. Clinical and analytical assessments were performed preoperatively, at 2- and at 10-years postoperatively. Paired t-tests, Wilcoxon-signed-rank and McNemar tests were used to assess the differences in the metabolic status during the follow-up. Logistic regression models were used to identify predictors of T2DM remission.

Results
Ninety-five patients were included (mean age 48.8 ± 9.1 years, mean HbA1c 7.0 ± 1.5%). Ten years after surgery, the rate of complete T2DM remission was 31%, partial remission was 15%, and late recurrence after initial remission was 24%. Patients with lower HbA1c (OR = 0.50; p = 0.05) and taking fewer antidiabetic drugs (OR = 0.31; p = 0.01) preoperatively were more likely to maintain long-term remission. Ten years post-MBS, patients maintained lower fasting plasma glucose (p < 0.001), HbA1c (p < 0.001), number of antidiabetic drugs (p < 0.001), and insulin use (p < 0.001).

Conclusion
MBS can induce a significant improvement and sustainable remission of T2DM. Early intervention, while patients still have a good glycemic control with a lower number of anti-diabetic drugs, is crucial to achieve long-lasting benefits and a potential "surgical cure" for T2DM.
Understanding the Vestibular Apparatus: How 3D Models Can Improve Student Learning
Authors: Ragland Amanda , Linquest Lauren , Shi Runhua , Mankekar Gauri 
Published: December 2024

AbstractThe objective of this study is to compare student satisfaction and confidence following a presentation of the inner ear anatomy using either a 2D model or a 3D model. First-year medical students were randomized to a 2D or 3D teaching group and given a presentation on the inner ear. Students were surveyed on confidence levels pre- and post-presentation, helpfulness of the presentation, and completed the student satisfaction and self confidence in learning (SCLS) questionnaire. 30 first-year medical students participated in the study: 14 in the 2D model and 16 in the 3D model group. A statistical significance was found between the 2D and 3D group regarding the helpfulness of the model (p = 0.0147), Q1 of the SCLS questionnaire (p = 0.0365), and Q12 of the SCLS questionnaire (p = 0.0308). The use of a 3D model of the inner ear aids in student self-confidence regarding the material and is perceived to be helpful with learning the material.
A multi-cycle recursive clustering algorithm for the analysis of social media data streams
Authors: Ayorinde Ayodeji O. , Panneerselvam John , Yuan Bo , Liu Lu 
Published: December 2024

Abstract
Events are usually embedded in latent topics and the extraction of these latent topics are enabled by event detection algorithms. Unsupervised algorithms like Clustering algorithms are very useful for detecting events but with requirements which may not be relevant or easy to determine when using unstructured textual social media data. For instance, some algorithms are required to be used on specific data shapes, but determining the shape of an unstructured data may not be practical aside from the high level of noise in the data. Many of the existing algorithms work well with structured data, however, some of these algorithms can be adapted to unstructured data with the caveat that cluster formations may not contain consistent contextual information. We propose a novel Multi-Cycle Recursive Clustering Algorithm (MCRCA), able to sequentially eliminate noise, resulting in high homogeneous cluster formations. MCRCA does not require the initial specification of clusters numbers as the estimated number of clusters can be deduced at convergence. Our algorithm out-performs the classical LDA and K-Means algorithms in forming highly homogeneous clusters, context-wise.
A Handheld Colorimeter for Remote and Onsite Recognition of Baking Levels at High Temperature — Pork Floss as a Case Study
Authors: Wang Yen-Hsiang , Lee Kuan-Chieh , Yen Yu-Fen , Wu Chin-Cheng , Wang Chung-Huang , Chang Chin-Hung , Chieh Jen-Jie , Tsai Meng-Jen 
Published: December 2024

AbstractPork floss is a common dried meat product in Asia. The endpoint of the baking process is traditionally determined by subjective human experts and indirect temperature measurements, which can often result in unstandardized production. Current colorimeters are unavailable for onsite measurement due to limitations associated with contact measurement and environmental temperature. Instead of the abovementioned human experts and tabletop colorimeters, a handheld colorimeter was built based on the expertise of human specialists and utilizing a tabletop colorimeter and other optical steps. First, the selected samples were used to determine the upper and lower limits distinguishing light, medium, and heavy baking levels by using a tabletop colorimeter. Second, independent light sources and spectrometers were utilized to choose the characteristic and reference wavelengths at 450 and 830 nm, separately. Third, the handheld colorimeter, instead of human expert observation, was designed with functions such as distance sensing and Internet of Things capabilities. The baked index was derived from the calibration reflection and established statistical models. Here, the calibration reflection was defined by the normalized intensity at 450 nm relative to 830 nm, and statistical models were founded from the determined samples of upper and lower limits at 95–700 mm. The developed handheld colorimeter demonstrated high agreement rates of 96.84% and 93.86% in separate comparisons with tabletop colorimeters and human experts, respectively. This work indicated the accurate and stable recognition of samples within two limits and overall. Field validation confirmed the performance of remote, economic, and onsite recognition against environmental temperature and noise.
Using a conceptual model to describe organic food process quality: the perspective of consumers
Authors: Rahier Lisa Marie , Strassner Carola , Herzig Christian 
Published: December 2024

AbstractThe food chain actors hold different perspectives on organic food quality. For processors, it is important to align their quality design with consumer expectations. Based on the organic food quality model by Vasileva et al. (Org Agr 9:1-12, 2019) this study investigates the consumer perspective on organic food processing, focusing on natural variations and modern technology with fruit juice as the main example product. In September 2021, we conducted four online focus groups with 29 organic shoppers from Germany (15 female, 14 male; between 18 and 70 years old) and performed a qualitative text analysis. The participants expect environmental and social sustainability in organic food production. For them, organic quality means a lower processing degree and less standardization. They are sceptic about blending and the production of juice made from concentrate. They prefer directly bottled juice and accept more variations of juice characteristics. They are open to modern technologies if these are environmentally friendly and socially acceptable. They are interested in raising their food literacy and show trust in information offered by processors. To bridge information asymmetry, they use several indicators. Comparing the results with the literature, the quality perceptions of processors and consumers are close. The model used has proven to be suitable for presenting the process quality from different perspectives and for showing relevant connections between the actors.
Transforming Cognition and Human Society in the Digital Age
Authors: Farkaš Igor 
Published: December 2024

AbstractSince the onset of the digital revolution, humankind has experienced an unprecedented acceleration of changes triggered by technological advancements. Frequently used digital media have unquestionably penetrated our everyday life, shaping human cognition in multiple ways. The rise of artificial intelligence, which coevolved with a new, interdisciplinary field of cognitive science, has amplified these effects, contributing new ways of affecting human society, in terms of efficient human-machine interaction and knowledge generation and accumulation, at an exponential rate. Simultaneously, cultural shifts driven by globalization and social media have fostered new modes of communication, identity formation, and knowledge dissemination on a global scale. Understanding the intricate dynamics of techno-cultural evolution and its influence on cognition is essential for comprehending the contemporary society and preparing it for the future challenges. We need to adapt for the current and future information environments and digital landscapes, improving human resilience to new technologies and addressing core human vulnerabilities. Thanks to human flexibility, enabled by neural plasticity, that may be feasible, ideally combined with alleviation of known negative effects of digital technologies.
Time and event symmetry in quantum mechanics
Authors: Ridley Michael , Adlam Emily 
Published: December 2024

AbstractWe investigate two types of temporal symmetry in quantum mechanics. The first type, time symmetry, refers to the inclusion of opposite time orientations on an equivalent physical footing. The second, event symmetry, refers to the inclusion of all time instants in a history sequence on an equivalent physical footing. We find that recent time symmetric interpretations of quantum mechanics fail to respect event symmetry. Building on the recent fixed-point formulation (FPF) of quantum theory, we formulate the notion of an event precisely as a fixed point constraint on the Keldysh time contour. Then, considering a sequence of measurement events in time, we show that both time and event symmetry can be retained in this multiple-time formulation of quantum theory. We then use this model to resolve conceptual paradoxes with time symmetric quantum mechanics within an ‘all-at-once’, atemporal picture.
A SWAT model depicts the impact of land use change on hydrology, nutrient, and sediment loads in a Lake Michigan watershed
Authors: Aboelnour Mohamed A. , Tank Jennifer L. , Hamlet Alan F. , Bertassello Leonardo E. , Ren Dongyang , Bolster Diogo 
Published: December 2024

Abstract
High levels of nutrient loads in a catchment indicate the presence of pollution sources that must be identified and quantified. These loads in surface and groundwater have been a major concern that impacts water quality in the Midwestern US, including the Great Lakes Basin. In this study, we use the Soil and Water Assessment Tool (SWAT) to assess the impact of land use changes on hydrology, nutrients, and sediment loads for the St. Joseph River Basin (SJRB), which drains an area of 12,200 km2 in Southwest Michigan/Northwest Indiana and is a primary source of pollutant to Lake Michigan. The SWAT models were developed to simulate streamflow, baseflow, total suspended solids (TSS), total phosphorous (TP), dissolved reactive phosphate (DRP), total nitrogen (TN), and nitrate (NO3-N), using data from two stream gauges. The calibrated models accurately simulated the studied variables across the SJRB. The simulated average annual baseflow for Niles and Paw Paw subwatersheds were 153 and 190 mm, respectively. The impacts of land use change on variables from the SJRB were also explored. The impact of land use change on water quality over time was statistically significant but trends were not linear. Hydrology, sediments and nutrients were also quantified at the subbasin level. Subbasins with heavy urbanization or agricultural drainage infrastructure, showed more substantial increases in sediment and nutrient loads as well as decreased groundwater recharge. This study will aid in the evaluation of historical and future water resources for Midwestern rivers, enabling stakeholders to prepare for future impacts, and to execute conservation and management to sustain the SJRB.
Geomechanical laboratory testing for sand production characterization using 3D-printed core analogues
Authors: Araujo-Guerrero Edson Felipe , Alzate-Espinosa Guillermo Arturo , Chalaturnyk Rick , Zambrano-Narvaez Gonzalo 
Published: December 2024

AbstractAmong others factors, the triggers for sanding include: drilling, cementing, and completion operations; stress and pressure conditions; formation strength and weakening; and cyclic processes. Any single factor may suffice to initiate sand production. Hence, comprehending sanding entails examining various physical mechanisms concerning the interaction between fluids and rocks under reservoir conditions. This article presents an innovative study focused on evaluating and understanding the effect on sanding for the following components: vertical to hotizontal stress anisotropy, stresses around the hole, and formation strength and weakening. It combines three points in the analysis: (1) The 3D printing technology, which allows obtaining similar samples with high repeatability, giving reliability to the results; (2) A comprehensive program for the mechanical characterization of printed samples; and, (3) The study of the mechanical behavior of the samples under sanding conditions. The testing program includes uniaxial compressive strength (UCS), triaxial stress test, thick-walled cylinder and big hollow cylinder test with Sanding (BHCT) tests, which aims to show the relationship between the mechanical behavior, the test conditions, and the sand production level. The sample’s characterization reveals a high porosity, the presence of bedding planes, and similar Young’s modulus and UCS strength. For the BHCT tests, a novel equipment is introduced. This equipment uses large samples and enables: an independent control of axial stress, radial stress, pore pressure, and flow rate; and measurement of produced sand. The results show higher levels of sanding when the axial stress is low compared to the radial external stress.
Zur lernbasierten Respezifikation von Nachhaltigkeit
Authors: Elven Julia 
Published: December 2024

Zusammenfassung
Nachhaltigkeit kann als grundsätzlich anerkannter, aber zu abstrakter Wert verstanden werden, der in unzureichendem Maße Handlungsorientierungen bereithält. Er muss also kontextspezifisch respezifiziert, d. h. in konkrete Praxis gebracht werden. Während Luhmann bereits darauf verweist, dass Organisation bei der Formgebung dieser Praxis im Zuge der Respezifikation eine hohe Relevanz entfaltet, fokussiert der vorliegende Beitrag das Lernen Erwachsener als zentrales Moment. Zunächst wird der Begriff Respezifikation konzeptionell umrissen und insbesondere in Richtung Lern- und Bildungsprozesse erweitert und hieran anschließend empirisch entfaltet. Anhand einer sinngenetischen Analyse werden dabei drei lernbasierte Modi der Respezifikation von Nachhaltigkeit rekonstruiert: Integrationsorientierung, Funktionsorientierung und Interessenorientierung. Für die Respezifikationsmodi zeigen sich verschiedene Lernherausforderungen auf individueller und organisationaler Ebene.
Unveiling the Nexus Between Land Use, Land Surface Temperature, and Carbon Footprint: A Multi-Scale Analysis of Building Energy Consumption in Arid Urban Areas
Authors: Abulibdeh Ammar , Pirasteh Saied , Mafi-Gholami Davood , Kucukvar Murat , Onat Nuri C. , Zaidan Esmat 
Published: December 2024

AbstractUrbanization and land use changes, especially in arid environments, significantly impact local climate and energy demand. This study investigates the relationship between Land Use/Land Cover (LULC) changes, Land Surface Temperature (LST), and the carbon footprint (CF) from building energy consumption in Doha, Qatar. Specifically, the study addresses the gap in understanding how LULC and LST interact to influence CF in arid urban areas. The research utilizes electricity consumption data from residential, commercial, and government buildings in conjunction with remote sensing data (Landsat 8) and climatical data (ERA5) to estimate LST and vegetation health. The Multiregional Input-Output (MRIO) model was employed to calculate the CF from direct and indirect energy consumption. At the same time, the support vector machine (SVM) was used to classify LULC into urban areas, green spaces, inland water bodies, and barren lands. To further investigate the spatial heterogeneity of the relationships between LST and climate variables, Multiscale Geographically Weighted Regression (MGWR) was utilized. This study hypothesizes that changes in LULC and LST will significantly increase the CF of buildings, especially during peak summer months in arid regions, while increased vegetation will help reduce this impact. CF hotspots are expected in areas with higher LST and less green space. The findings reveal significant correlations between higher LST, reduced green spaces, and increased CF in residential and commercial sectors. Villas and commercial buildings exhibited the highest CF during the summer due to increased cooling demands, with noticeable CF hotspots in specific urban areas. The study underscores the role of green spaces in mitigating both LST and CF, with the Normalized Difference Vegetation Index (NDVI) showing an inverse relationship to CF. Policy implications point to the urgent need for integrating urban greening initiatives, enhancing energy efficiency in building design, and revising urban planning policies to address the challenges posed by LST and rising energy demands in arid regions. Recommendations include incentivizing the adoption of energy-efficient building designs and improving vegetation cover to enhance urban resilience in arid climates. This study offers critical insights for policymakers, urban planners, and environmental managers aiming to balance urban growth with sustainable energy use and climate resilience.
Internal organizational factors influencing ICT adoption for sustainable growth
Authors: Oyetade Kayode , Harmse Anneke , Zuva Tranos 
Published: December 2024

AbstractOrganizations today depend increasingly on the effective adoption of Information and Communication Technology (ICT) to ensure sustainable growth in a competitive global landscape. However, research on the internal factors influencing successful ICT adoption, especially through case studies, remains limited. This study seeks to address this gap by exploring the internal factors such as organizational culture, leadership styles, employee attitudes, resource availability, user perceptions, and peer influence that drive ICT adoption and align with organizational strategies. Drawing on a literature review and qualitative case study analysis of peer-reviewed articles, books, and reports published from 2003 to 2024, the study examines how these factors impact ICT integration and contribute to long-term success. Case studies from leading organizations illustrate how ICT strategies are implemented effectively in diverse contexts. The study is guided by theoretical frameworks, including Innovation Diffusion Theory (IDT) and the Technology Acceptance Model (TAM), extending their application to internal organizational dynamics. The findings extend existing theoretical frameworks such as Innovation Diffusion Theory (IDT) and Technology Acceptance Model (TAM) by applying them to internal organizational contexts, illustrating the role of leadership, culture, and resources in ICT adoption. Practically, this study provides recommendations for developing an ICT-driven culture, aligning technology initiatives with strategic goals, and investing in infrastructure to overcome adoption barriers and create sustainable technological progress in a globalized society.
Evaluating the impact of stochastic interest rates and COVID-19 on financial performance under IFRS 17
Authors: Lazoğlu Çiğdem , Karabey Uğur 
Published: December 2024

Abstract
The emergence of COVID-19 has resulted in a notable rise in mortality rates, consequently affecting various sectors, including the insurance industry. This paper analyzes the reflections of a sudden increase in mortality rates on the financial performance of a survival benefit scenario under the International Financial Reporting Standard 17. For this purpose, we thoroughly examined a single insurance scenario under four different states by modifying the interest and jump elements. We use Poisson-log bilinear Lee–Carter and Vasicek models for mortality and stochastic interest rate, respectively. Integrating the mortality model with a jump model that incorporates COVID-19 deaths we constructed a temporary mortality jump model. As a result, the temporary mortality jump model reflects the effects of the pandemic more realistically. We observe that even in this case mortality has a minor impact, whereas interest rates significantly still affect the financial position and performance of insurance companies.
A Szemerédi type theorem for sets of positive density in approximate lattices
Authors: BJÖRKLUND MICHAEL , FISH ALEXANDER 
Published: December 2024

Abstract
An extension of Szemerédi’s theorem is proved for sets of positive density in approximate lattices in general locally compact and second countable abelian groups. As a consequence, we establish a recent conjecture of Klick, Strungaru and Tcaciuc. Via a novel version of Furstenberg’s correspondence principle, which should be of independent interest, we show that our Szemerédi theorems can be deduced from a general transverse multiple recurrence theorem, which we establish using a recent work of Austin [Non-conventional ergodic averages for several commuting actions of an amenable group. J. Anal. Math.130 (2016), 243–274].
Relationship between pension knowledge, trust in the pension system, and sociodemographic factors
Authors: Tenhunen Sanna , Kuivalainen Susan 
Published: December 2024

AbstractThis study gauges Finnish people’s knowledge about pensions and their trust in the pension system. A further aim is to see if knowledge and trust are related and to explore the role of sociodemographic factors in that relationship. We examine both self-assessed and objective knowledge of pension system details and look at how age, gender, education, income, and socioeconomic status are reflected in pension knowledge and trust. The results reveal that the relationship between pension knowledge and trust is driven by sociodemographic factors. However, for those with a primary education, there is a positive association between pension knowledge and trust.