bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the performance and portability of the k-means algorithm on SYCL across CPU and GPU architectures
Authors: Faqir-Rhazoui Youssef , García Carlos 
Published: May 2023

AbstractThe aim of SYCL is to reduce the gap between the performance and code portability of the main accelerators used in HPC, such as multi-vendor CPUs, GPUs, and FPGAs. To evaluate SYCL’s performance portability, this paper uses the k-means algorithm as a case study. The k-means algorithm is simple to code but can be complex to optimize. In this research, we compare our developed SYCL version with the most efficient implementations of CUDA and OpenMP. Our resulting SYCL code can potentially run on multi-vendor CPUs and GPUs. Additionally, we have created a hand-tuned SYCL variation that is optimized for specific device architectures (CPU, NVIDIA GPU, and Intel GPU) to evaluate the performance difference between a standard version and an optimized one. The results show that SYCL outperforms Intel GPUs and CPUs compared to the state-of-the-art He-Vialle version, while on NVIDIA GPUs SYCL offers equivalent performance compared to its native CUDA implementation.
TeleDAL: a regression-based template-less unsupervised method for finding anomalies in log sequences
Authors: Horváth Gábor , Mészáros András , Szilágyi Péter 
Published: May 2023

AbstractSeveral machine learning-based methods are available in the literature to find anomalies in large log sequences. Recently, deep learning based solutions demonstrated promising performance in this domain. The majority of these methods formulate the problem as a classification task, where the final layer of the neural network model is a softmax layer. This paper presents a different, regression-based approach. The input of the model is a sequence of numeric vectors representing the semantic information of the log lines, and the output is also a numeric vector corresponding to the expected log line. To cope with the inherent uncertainty of log sequences, we introduce “Top-K” layers, allowing the model to emit multiple predictions, from which the best one is chosen. This feature, together with the “Top-K” loss function, makes it possible to develop an unsupervised, fully template-less model that can also handle log lines it has never seen during the training phase, which is essential for online applications. On benchmark data sets we demonstrate that the model achieves competitive performance.
Epistemic diversity and industrial selection bias
Authors: Pinto Manuela Fernández , Pinto Daniel Fernández 
Published: May 2023

AbstractPhilosophers of science have argued that epistemic diversity is an asset for the production of scientific knowledge, guarding against the effects of biases, among other advantages. The growing privatization of scientific research, on the contrary, has raised important concerns for philosophers of science, especially with respect to the growing sources of biases in research that it seems to promote. Recently, Holman and Bruner (2017) have shown, using a modified version of Zollman (2010) social network model, that an industrial selection bias can emerge in a scientific community, without corrupting any individual scientist, if the community is epistemically diverse. In this paper, we examine the strength of industrial selection using a reinforcement learning model, which simulates the process of industrial decision-making when allocating funding to scientific projects. Contrary to Holman and Bruner’s model, in which the probability of success of the agents when performing an action is given a priori, in our model the industry learns about the success rate of individual scientists and updates the probability of success on each round. The results of our simulations show that even without previous knowledge of the probability of success of an individual scientist, the industry is still able to disrupt scientific consensus. In fact, the more epistemically diverse the scientific community, the easier it is for the industry to move scientific consensus to the opposite conclusion. Interestingly, our model also shows that having a random funding agent seems to effectively counteract industrial selection bias. Accordingly, we consider the random allocation of funding for research projects as a strategy to counteract industrial selection bias, avoiding commercial exploitation of epistemically diverse communities.
Rutin protects against gamma-irradiation and malathion-induced oxidative stress and inflammation through regulation of mir-129-3p, mir-200C-3p, and mir-210 gene expressions in rats’ kidney
Authors: Ismail Amel F. M. , Salem Asmaa A. , Eassawy Mamdouh M. T. 
Published: May 2023

Abstract
Kidney injury represents a global concern, leading to chronic kidney disease. The organophosphate insecticide malathion (MT) demonstrates environmental disturbance and impairment of different mammalian organs, including kidneys. Likewise, gamma-irradiation (IRR) provokes destructive effects in the kidneys. Rutin is a flavonoid glycoside that exhibits nephro-protective and radio-protective properties. This manuscript focused on investigating the protective response of rutin on MT- and IRR-triggered kidney injury in rats. Rats were randomly divided into eight groups of twelve: G1 (C), control; G2 (Rutin), rutin-treated rats; G3 (IRR), gamma-irradiated rats; G4 (MT), malathion-treated rats; G5 (IRR/MT), gamma-irradiated rats treated with malathion; G6 (IRR/Rutin), gamma-irradiated rats treated with rutin; G7 (MT/Rutin), rats treated with malathion and rutin; and G8 (IRR/MT/Rutin), gamma-irradiated rats treated with malathion and rutin, every day for 30 days. The results demonstrated that rutin treatment regulated the biochemical parameters, the oxidative stress, the antioxidant status, and the inflammatory responses due to the down-regulation of the renal NF-κB p65 protein expression. Moreover, it amended the activity of acetylcholinesterase (AchE), angiotensin ACE I, and ACE II-converting enzymes. Besides, it regulated the iNOS, eNOS, miR-129-3p, miR-200c, and miR-210 gene expressions and bradykinin receptor (B1R and B2R) protein expressions. Histopathological examinations of the kidney tissue confirmed these investigated results. It could be concluded that rutin demonstrated nephro/radioprotection and counteracted the toxicological effects triggered in the kidney tissues of IRR, MT, and IRR/MT intoxicated rats, via regulating miR-129-3p, miR-200c-3p, and miR-210-3p gene expressions, which consequently regulated B2R protein expressions, ACE II activity, and HIF-1α production, respectively.
Schlüsselübergabe an Universitäten
Authors: Berli Oliver , Reuter Julia 
Published: May 2023

ZusammenfassungDie Rede vom Ruhestand als Ende der wissenschaftlichen Karriere ist analytisch ungenau, insofern als damit ein abrupter Ausstieg zum Zeitpunkt der Dienstaltersgrenze gemeint ist. Sie übersieht, dass Ruhestand ein Prozess ist, der sowohl Ungleichzeitigkeiten im Hinblick auf die unterschiedlichen Dimensionen einer Wissenschaftskarriere wie Ungleichheiten im Zusammenwirken von Organisation und Person bereithält. In einem Forschungsprojekt zur Statuspassage professoraler Ruhestand dokumentieren wir diese Ungleichzeitigkeiten und Ungleichheiten, die von den Beteiligten ein hohes Erwartungsmanagement erfordern.
Alltag (mit) Baustelle. Potenzial einer praxeologischen Baustellenforschung
Authors: Neubert Christine 
Published: May 2023

ZusammenfassungDer Beitrag skizziert eine praxeologische Baustellenforschung in ihrem Erkenntnispotenzial und methodologischer Ausrichtung. Anhand ethnografischer Daten, die bei der mehrmonatigen Begleitung einer Straßenbaustelle erhoben wurden, beobachte ich die Baustelle als Praxis. Es werden dabei drei analytische Themen herausgestellt: die Relationalität von Störung und situierter Alltag, die sozio-materielle Kopplung von Baustelle und Umgebung sowie die Aushandlung unterschiedlicher Lebensräume von Menschen, Flora und Fauna mittels alltäglicher Praktiken. Das so verstandene vielschichtige Wissen der Baustelle dient in soziologischer Hinsicht als Fundus für integrierte und praktisch wirksame Zugriffe auf Störungen alltäglicher Räume und macht die Arbeit an Infrastrukturen als verortete und sich räumlich entfaltende Praktiken einsehbar. Abschließend wird der Nutzen einer vergleichenden, empirisch-qualitativen Soziologie der Baustelle angezeigt.
The Role of MX Carbonitrides for the Particle-Stimulated Nucleation of Ferrite in Microalloyed Steel
Authors: Sobotka Evelyn , Kreyca Johannes , Fuchs Nora , Wojcik Tomasz , Kozeschnik Ernst , Povoden-Karadeniz Erwin 
Published: May 2023

AbstractThe role of titanium and vanadium carbonitrides (Ti,V)(C,N) of the MX series on the austenite-to-ferrite transformation in microalloyed steels and their potential of acting as pre-nuclei for intragranular ferrite nucleation is examined experimentally and by computational simulation. Thermal treatments and single-hit compression tests are performed on a dilatometer and a Gleeble® 3800 thermomechanical simulator to investigate the phase transition and precipitation sequences within microalloyed steel. The analysis of the microstructure and examination of formed precipitates is carried out by using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). In situ observations are realized via high-temperature laser scanning confocal microscopy (HT-LSCM). The experimental results are compared to kinetic precipitation simulations for MX precipitates’ particle-stimulated intragranular ferrite formation using an on-particle nucleation model for ferrite on the surface of the MX carbonitrides. A particular focus is the comparison of precipitation trends between non-deformed and deformed samples. The physically appropriate modeling of MX precipitation kinetics in combination with intragranular ferrite formation serves as a basis for future industrial process optimizations without extensive experimental work.
Overcoming barriers to transformation in manufacturing firms. A path-dependence perspective of digital servitization
Authors: Brekke Thomas , Lenka Sambit , Kohtamäki Marko , Parida Vinit , Solem Birgit Andrine Apenes 
Published: May 2023

AbstractManufacturing firms struggle to break away from their pre-existing business models, offerings, routines, and capabilities. The present study used path dependency as a theoretical lens to investigate a single longitudinal case study of a leading manufacturing company based on in-depth interviews with senior executives and managers. The analysis contributes to extending the digital servitization and path-dependence literature by proposing four path-breaking mechanisms: (1) organizational reconfiguration, (2) reconfiguration of value offerings, (3) opportunity exploration, and (4) knowledge reconfiguration. The framework developed based on these mechanisms generated valuable insights for manufacturing firms seaking to to break away from their dominant paths.
Plant-Based Diets Reduce Blood Pressure: A Systematic Review of Recent Evidence
Authors: Tomé-Carneiro João , Visioli Francesco 
Published: May 2023

Abstract
Purpose of Review
Accumulating data on the consumption of plant-based diets and their impact on blood pressure indicate a consensus that plant-based diets are linked to reduced blood pressure. The suggested mechanisms of action are manifold, and, in this systematic review, we provide a summary of the most recent findings on plant-based diets and their impact on blood pressure, along with an analysis of the molecules accountable for the observed effects.

Recent Findings
The overwhelming majority of intervention studies demonstrate that plant-based diets result in lower blood pressure readings when compared to diets that are based on animal products. The various mechanisms of action are being clarified.

Summary
The data discussed in this systematic review allow us to conclude that plant-based diets are associated with lower blood pressure and overall better health outcomes (namely, on the cardiovascular system) when compared to animal-based diets. The mechanisms of action are being actively investigated and involve many macro- and micronutrients plentiful in plants and the dishes prepared with them.
Proceedings of the North American Society of Head and Neck Pathology Companion Meeting, New Orleans, LA, March 12, 2023: Classification of Salivary Gland Tumors: Remaining Controversial Issues?
Authors: Skalova Alena , Hyrcza Martin D. 
Published: May 2023

AbstractThe salivary gland section in the 5th edition of the World Health Organization Classification of Head and Neck Tumours includes a description of several new entities. In addition, numerous tumor variants were described and new concepts proposed, most of which have been based on recent molecular discoveries. However, there are still some controversial issues that remain to be resolved, and some of them are discussed in this review.
Newcomers and ‘Roots Migrants’: Chain Migrations and the Revitalization of Rural Shrinking Areas in Spain
Authors: Alonso-Pardo Paula , Oso Laura , Santaballa Leticia 
Published: May 2023

AbstractThis article analyses the processes of rural shrinking/revitalisation in Spain from the perspective of chain mobilities. It attempts to go beyond the vision that focuses on the depopulation approach. The chain migration perspective is a dynamic means, as it considers the articulation between internal/international, historical/recent migrations and shrinking/revitalisation processes. Spatial mobility is also analysed in relation to the articulation of the local and immigrant population’s intergenerational social mobility processes. The research is based on intensive fieldwork (109 semi-structured interviews) conducted in several shrinking regions in Spain (Galicia, Andalusia and Castilla-La Mancha). Our research reveals how the internal and international exodus of the second half of the twentieth century in Spain, driven by the ‘Developmentalist’ economic model and implemented by Franco’s regime, is the bases for the territorial imbalances and configuration of shrinking rural areas in this country. It also shows how de-agrarianisation and the lack of intergenerational replacement explains the arrival of immigrant populations in rural areas from the turn of the century onwards, in order to meet the needs of labour markets segmented by ethnic origin and gender. Together with newcomers, the shrinking areas are also benefiting from the arrival of returnees and root migrants (from both external and internal migration), who decide to return to their origins, drawn by emotional ties. These migration patterns (newcomers, returnees and root migrants) are different and complementary in terms of sustaining life in rural areas. The impact of migration on the revitalisation of rural areas is visible in demographic, economic and social terms.
Two-Term Spectral Asymptotics in Linear Elasticity
Authors: Capoferri Matteo , Friedlander Leonid , Levitin Michael , Vassiliev Dmitri 
Published: May 2023

AbstractWe establish the two-term spectral asymptotics for boundary value problems of linear elasticity on a smooth compact Riemannian manifold of arbitrary dimension. We also present some illustrative examples and give a historical overview of the subject. In particular, we correct erroneous results published by Liu (J Geom Anal 31:10164–10193, 2021).
Establishment of a N1-methyladenosine-related risk signature for breast carcinoma by bioinformatics analysis and experimental validation
Authors: Li Leilei , Yang Wenhui , Jia Daqi , Zheng Shiqi , Gao Yuzhe , Wang Guanghui 
Published: May 2023

AbstractObjectivesBreast carcinoma (BRCA) has resulted in a huge health burden globally. N1-methyladenosine (m1A) RNA methylation has been proven to play key roles in tumorigenesis. Nevertheless, the function of m1A RNA methylation-related genes in BRCA is indistinct.MethodsThe RNA sequencing (RNA-seq), copy-number variation (CNV), single-nucleotide variant (SNV), and clinical data of BRCA were acquired via The Cancer Genome Atlas (TCGA) database. In addition, the GSE20685 dataset, the external validation set, was acquired from the Gene Expression Omnibus (GEO) database. 10 m1A RNA methylation regulators were obtained from the previous literature, and further analyzed through differential expression analysis by rank-sum test, mutation by SNV data, and mutual correlation by Pearson Correlation Analysis. Furthermore, the differentially expressed m1A-related genes were selected through overlapping m1A-related module genes obtained by weighted gene co-expression network analysis (WGCNA), differentially expressed genes (DEGs) in BRCA and DEGs between high- and low- m1A score subgroups. The m1A-related model genes in the risk signature were derived by univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analyses. In addition, a nomogram was built through univariate and multivariate Cox analyses. After that, the immune infiltration between the high- and low-risk groups was investigated through ESTIMATE and CIBERSORT. Finally, the expression trends of model genes in clinical BRCA samples were further confirmed by quantitative real-time PCR (RT‒qPCR).ResultsEighty-five differentially expressed m1A-related genes were obtained. Among them, six genes were selected as prognostic biomarkers to build the risk model. The validation results of the risk model showed that its prediction was reliable. In addition, Cox independent prognosis analysis revealed that age, risk score, and stage were independent prognostic factors for BRCA. Moreover, 13 types of immune cells were different between the high- and low-risk groups and the immune checkpoint molecules TIGIT, IDO1, LAG3, ICOS, PDCD1LG2, PDCD1, CD27, and CD274 were significantly different between the two risk groups. Ultimately, RT-qPCR results confirmed that the model genes MEOX1, COL17A1, FREM1, TNN, and SLIT3 were significantly up-regulated in BRCA tissues versus normal tissues.ConclusionsAn m1A RNA methylation regulator-related prognostic model was constructed, and a nomogram based on the prognostic model was constructed to provide a theoretical reference for individual counseling and clinical preventive intervention in BRCA.
An ecological economic comparison between integrated rice-fish farming and rice monocultures with low and high dikes in the Mekong Delta, Vietnam
Authors: Berg Håkan , Lan Thai Huynh Phuong , Tam Nguyen Thanh , Trang Duong Huyen , Van Pham Huynh Thanh , Duc Huynh Ngoc , Da Chau Thi 
Published: May 2023

AbstractThis study makes an ecological economic comparison between three different rice farming strategies in the Mekong Delta. Interviews were made with 30 farmers with two crops of rice and low dikes (2RLd), 30 farmers with three crops of rice and high dikes (3RHd) and 18 farmers with two crops of rice and one crop of fish (2RF). 2RF farmers had the highest annual net income and benefit cost ratio, because of low production costs and high yields of rice and fish. 2RLd farmers had the lowest annual net income. 3RHd had the highest annual rice yield, but also used the highest amount of rice seeds and agrochemicals, generating the lowest benefit cost ratio. Most farmers (70%) preferred two crops because of a higher production efficiency. High dikes and frequent use of pesticides and fertilizers were seen to decrease the water and rice quality, connectivity and biodiversity in farms with three crops. It is concluded that rice farming with two crops, and especially if integrated with fish and applying IPM, provides a sustainable alternative to rice farming with three crops and high dikes, because it makes use of the high connectivity within the rice-field ecosystem for an efficient production of healthy food through increased recycling of nutrients and natural pest control mechanisms.
Modeling place-based nature-based solutions to promote urban carbon neutrality
Authors: Cong Cong , Pan Haozhi , Page Jessica , Barthel Stephan , Kalantari Zahra 
Published: May 2023

AbstractNature-based solutions (NbS) are recognized as widely available and cost-effective mechanisms for sequestering carbon and offsetting carbon emissions. Realistic NbS implementations for carbon neutrality need to be effective at the global level and also appropriate for the socio-economic and physical conditions prevailing at the local level. This paper presents a framework that can help stakeholders identify demands, locations, and types of NbS interventions that could maximize NbS benefits at the local scale. Key processes in the framework include (1) interpolating carbon emissions data at larger spatial scales to high-resolution cells, using land use and socio-economic data; (2) assessing NbS effects on carbon reduction and their location-related suitability, through qualitative literature review, and (3) spatially allocating and coupling multiple NbS interventions to land use cells. The system was tested in Stockholm, Sweden. The findings show that the urban center should be allocated with combinations of improving access to green spaces and streetscapes, while the rural and suburban areas should prioritize preserving and utilizing natural areas. Our proposed method framework can help planners better select target locations for intended risk/hazard-mitigating interventions.
Green synthesis of bismuth nanoparticles using green coffee beans extract
Authors: Saha Prianka , Habib Md. Ahsan , Islam A. B. M. Nazmul , Karim Kaykobad Md. Rezaul , Mahiuddin Md. 
Published: May 2023

AbstractA green synthetic process based on plant sources could be an alternative option to conventional chemical one to synthesize nanostructured bismuth. This study explored a facile and green synthetic protocol for synthesizing bismuth nanoparticles (BiNPs) in an aqueous solution employing green coffee bean extract as a key reducing and capping agent. Several techniques, including X-ray diffraction, electron microscopy, energy dispersive X-ray and Fourier-transform infrared spectroscopy, and thermogravimetric analysis, have been used to characterize the resultant product. The outcomes show that crystalline BiNPs are successfully produced using the green synthesis method based on plant sources. The obtained BiNPs have a spherical shape, a diameter ranges of 20 to 40 nm, and are stabilized by phytochemicals. The purpose of the current study is to ascertain the potential impact of plant sources on the environmentally friendly synthesis of BiNPs.
The United States–China Trade War and Impact on the Post-Conservation Reserve Program Land Allocation
Authors: Lee Meongsu , Westhoff Patrick , Thompson Wyatt 
Published: May 2023

AbstractWe use a Bayesian approach to estimate elasticities of former Conservation Reserve Program (CRP) land allocation and the impact of the US–China trade conflict on post-CRP land transitions. Economically acceptable elasticities of land exiting CRP are important for applied analysis, including market shocks and environmental policy. Taking as given the total area exiting the CRP, the Phase 1 deal raised the posterior mean of national post-CRP soybean area by 155 thousand acres and the market facilitation program by 89 thousand acres. Cross-commodity effects are important, and elasticities vary depending on the direction and magnitude of changes in net returns and payments.