bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy and safety of semaglutide in glycemic control, body weight management, lipid profiles and other biomarkers among obese type 2 diabetes patients initiated or switched to semaglutide from other GLP-1 receptor agonists
Authors: Okamoto Aki , Yokokawa Hirohide , Nagamine Tomoko , Fukuda Hiroshi , Hisaoka Teruhiko , Naito Toshio 
Published: September 2021

Abstract
Purpose
Evidence of the efficacy and safety of semaglutide among patients with type 2 diabetes who were initiated on or were switched to semaglutide from other GLP-1 RAs remains limited. The objective of this study was to investigate the short-term effects of switching to semaglutide from other GLP-1 RAs.

Methods
This retrospective cohort study evaluated patients with type 2 diabetes who were initiated on or were switched to semaglutide due to poor diabetes control with other GLP-1 RAs or other medications, or obesity. HbA1c, body weight, serum creatinine, serum uric acid, parameters of lipid metabolism, and parameters of liver function were measured before and 6 months after administration of semaglutide.

Results
A total of 50 patients were registered in the study. After switching to semaglutide (n = 43), HbA1c and body weight significantly decreased (p < 0.01, p < 0.01), respectively. The same findings were observed in semaglutide-naïve patients (p = 0.04, p < 0.02) (n = 7). Serum uric acid, total cholesterol, triglycerides, and urinary albumin-creatinine ratio decreased significantly as well (p = 0.04, p = 0.04, p = 0.02, p = 0.04), whereas serum creatinine did not change significantly (p = 0.51).

Conclusions
Semaglutide showed excellent efficacy, even in patients switched from other GLP-1 RAs. Semaglutide appears to be a promising agent for blood glucose and body weight control in obese type 2 diabetes mellitus patients and could be more potent in treating type 2 diabetes than existing GLP-1 RAs.
Machine learning-driven automatic storage space recommendation for object-based cloud storage system
Authors: Mondal Anindita Sarkar , Mukhopadhyay Anirban , Chattopadhyay Samiran 
Published: September 2021

AbstractAn object-based cloud storage system is a storage platform where big data is managed through the internet and data is considered as an object. A smart storage system should be able to handle the big data variety property by recommending the storage space for each data type automatically. Machine learning can help make a storage system automatic. This article proposes a classification engine framework for this purpose by utilizing a machine learning strategy. A feature selection approach wrapped with a classifier is proposed to automatically predict the proper storage space for the incoming big data. It helps build an automatic storage space recommendation system for an object-based cloud storage platform. To find out a suitable combination of feature selection algorithms and classifiers for the proposed classification engine, a comparative study of different supervised feature selection algorithms (i.e., Fisher score, F-score, Lll21) from three categories (similarity, statistical, sparse learning) associated with various classifiers (i.e., SVM,K-NN, Neural Network) is performed. We illustrate our study using RSoS system as it provides a cloud storage platform for the healthcare data as experimental big data by considering its variety property. The experiments confirm that Lll21 feature selection combined withK-NN classifier provides better performance than the others.
Learnings from the Adult Religious Education and Faith Development (AREFD) project for initial teacher education of religious educators
Authors: Sweetman Bernadette 
Published: September 2021

AbstractSince October 2018, researchers at the Mater Dei Centre for Catholic Education at Dublin City University have been engaged in the Adult Religious Education and Faith Development (AREFD) project. The overarching aim of the project was to facilitate a re-energising of adult religious education and faith development in Ireland. Working amongst local faith communities with an academic research focus, an area of interest that has emerged is how the insights gained from AREFD project can contribute to initial teacher education, particularly involving students preparing for employment as post-primary religious educators. This paper will outline some of the key themes that emerged from the data gathered in phase two of the AREFD project as it pertains to the initial teacher education (ITE) of religious educators. In phase two, a total of fourteen semi-structured interviews/focus groups were conducted between December 2019 and April 2021, featuring twenty-two people from across the island of Ireland who have a wealth of experience in AREFD across diverse contexts. The purpose of these interviews was to gather together the rich insights from the depth of experience of the interviewees on practicalities and possibilities central to adult religious education. The contexts in which they have worked are all pertinent to both the post-primary Religious Education curriculum in the Republic of Ireland and wider related learning experiences, in Ireland and beyond. Four key findings from this phase of the AREFD project are reported upon in this paper: the specific realm of AREFD as distinct from school-based religious education and catechesis; the need for intentional investment in AREFD; the physicality of religion; collaboration, communication and connection. These findings may contribute to the reflections of and course development by initial teacher education providers as they seek to offer the highest quality opportunities to their students, in the understanding that their students are adults themselves and that education is a lifelong endeavour.
A generalized fuzzy k-nearest neighbor regression model based on Minkowski distance
Authors: Mailagaha Kumbure Mahinda , Luukka Pasi 
Published: September 2021

AbstractThe fuzzy k-nearest neighbor (FKNN) algorithm, one of the most well-known and effective supervised learning techniques, has often been used in data classification problems but rarely in regression settings. This paper introduces a new, more general fuzzy k-nearest neighbor regression model. Generalization is based on the usage of the Minkowski distance instead of the usual Euclidean distance. The Euclidean distance is often not the optimal choice for practical problems, and better results can be obtained by generalizing this. Using the Minkowski distance allows the proposed method to obtain more reasonable nearest neighbors to the target sample. Another key advantage of this method is that the nearest neighbors are weighted by fuzzy weights based on their similarity to the target sample, leading to the most accurate prediction through a weighted average. The performance of the proposed method is tested with eight real-world datasets from different fields and benchmarked to thek-nearest neighbor and three other state-of-the-art regression methods. The Manhattan distance- and Euclidean distance-based FKNNreg methods are also implemented, and the results are compared. The empirical results show that the proposed Minkowski distance-based fuzzy regression (Md-FKNNreg) method outperforms the benchmarks and can be a good algorithm for regression problems. In particular, the Md-FKNNreg model gave the significantly lowest overall average root mean square error (0.0769) of all other regression methods used. As a special case of the Minkowski distance, the Manhattan distance yielded the optimal conditions for Md-FKNNreg and achieved the best performance for most of the datasets.
What’s Wrong with Automated Influence
Authors: Benn Claire , Lazar Seth 
Published: September 2021

AbstractAutomated Influenceis the use of Artificial Intelligence (AI) to collect, integrate, and analyse people’s data in order to deliver targeted interventions that shape their behaviour. We consider three central objections against Automated Influence, focusing on privacy, exploitation, and manipulation, showing in each case how a structural version of that objection has more purchase than its interactional counterpart. By rejecting the interactional focus of “AI Ethics” in favour of a more structural,politicalphilosophy of AI, we show that the real problem with Automated Influence is the crisis of legitimacy that it precipitates.
The 2020 Presidential Election in Belarus: Erosion of Authoritarian Stability and Re-politicization of Society
Authors: Bedford Sofie 
Published: September 2021

AbstractOn August 9, 2020, presidential elections were held in Belarus. Despite blatant electoral fraud and procedural violations, the official results declared Aleksandr Lukashenka reelected for a sixth term. While in the past, even the most obviously fraudulent election results have been followed by an atmosphere of resigned acceptance, this time countless Belarusians took to the streets to contest the results. What made this election different? This analysis of current affairs looks at the 2020 events through the lens of authoritarian consolidation theory, suggesting the unprecedented political mobilization was enabled by erosion in the three pillars of authoritarian stability: repression, cooptation, and legitimation. A majority of the population had been accepting the political status quo out of fear, for social and monetary security provided in exchange for loyalty, or a general understanding that there were no alternatives. Lukashenka did not realize this had largely changed. Nine months later, the foundation of the authoritarian regime is in an even worse shape. The regime’s reliance on repression further counteracts the legitimacy of the system. As a result, it seems it will be difficult for the authorities to re-consolidate authoritarianism, at least in the near future, no matter how the ‘revolution’ unfolds.
EARLY AND MIDDLE BRONZE AGE CHRONOLOGY OF THE CARPATHIAN BASIN REVISITED: QUESTIONS ANSWERED OR PERSISTENT CHALLENGES?
Authors: Staniuk Robert 
Published: September 2021

ABSTRACTThe Early and Middle Bronze Age in the Carpathian Basin is often viewed as a long period of transition from a dispersed form of land occupation to one of increasing aggregation, ultimately resulting in the formation of tell settlements and large cemeteries. This developmental trajectory remains a legacy of early 20th century archaeology, where the similarity of material culture recovered from cemeteries and settlements was used to develop a multi-linear scheme of progression of regional chronologies tied to specific archaeological cultures. While typologically conclusive, the recent increase in the availability of radiocarbon determinations suggests that these sequences representa prioriinterpretation of social development rather than empirically verified observations. In order to do so, it is necessary to re-evaluate the existing dataset in order to determine whether the formation of tells was a chronologically contemporary development and whether the regional chronological sequences are supported by independent dating.
Is alcohol a tropical medicine? Scientific understandings of climate, stimulants and bodies in Victorian and Edwardian tropical travel
Authors: Armston-Sheret Edward , Walker Kim 
Published: September 2021

AbstractThis paper offers a new perspective on historical understandings of the relationship between alcohol, climate and the body, by studying the way that British explorers of tropical Africa drank alcohol and wrote about drink between c.1850 and c.1910. We demonstrate that alcohol was simultaneously classified as a medicinal, a preventative and a pleasurable drink, shaped by competing medical theories, but that distinctions between these different roles were highly blurred. We also show how many explorers thought certain drinks helped to protect white bodies from the effects of tropical diseases. While popular amongst travellers, these views came under growing scrutiny in the latter part of the nineteenth century, reflecting both changing scientific views about the relationship between alcohol, climate and the body and the development of a much larger European presence in tropical Africa. However, even those who opposed tropical drinking often supported the use of other stimulants and viewed the tropics as uniquely dangerous. As such, the paper challenges the idea that the late nineteenth century marked a paradigm shift in scientific attitudes towards tropical environments, as much previous scholarship has suggested. At the same time, our examinations of explorers’ descriptions of drinking by African people demonstrates how ideas about racial difference played an important role within medical understandings of alcohol. Overall, this paper examines the heterogeny of attitudes to alcohol to be found within tropical medicine and documents the continuities in approach shown between the nineteenth and twentieth centuries.
Assessment of phytoplankton group composition in the Golden Horn Estuary (Sea of Marmara, Turkey) determined with pigments measured by HPLC-CHEMTAX analyses and microscopy
Authors: Dursun Fuat , Tas Seyfettin , Ediger Dilek 
Published: September 2021

AbstractPhtytoplankton group composition determined by microscopy was compared with high performance liquid chromatography (HPLC) derived from pigment signatures in surface water samples taken bi-weekly and monthly between October 2018 and September 2019 in the Golden Horn Estuary (Sea of Marmara). A total of 80 eukaryotic phytoplankton taxa belonging to eight algal classes were identified in surface water during the study period. Forty-three taxa (54%) were diatoms, 29 taxa (36%) were dinoflagellates and eight taxa (10%) were other phytoflagellates. The average contribution of diatoms to total phytoplankton abundance decreased considerably (41 to 25%), while the average contribution of dinoflagellates and other phytoflagellates increased markedly (59 to 75%) from the lower to the middle estuary. Chlorophyll-a and seven other group-specific pigments, including fucoxanthin, peridinin, chlorophyll-c1 + c2, alloxanthin, 19′-hexanoyloxyfucoxanthin, 19′-butanoyloxyfucoxanthin and divinyl chlorophyll-a were identified in the study area. The relative contribution of the major phytoplankton groups to chlorophyll-a was estimated on three different initial ratio matrices by CHEMTAX. The results obtained were compared with those from microscopic examination. It was concluded that the CHEMTAX method was not accurate enough to characterize the phytoplankton community in the Golden Horn Estuary ecosystem and microscopic analysis was essential to determine the major contributing species to chlorophyll-a.
ATTENTION TO FORM AND MEANING REVISITED
Authors: Son Myeongeun , Lee Jongbong , Godfroid Aline 
Published: September 2021

AbstractMotivated by a series of interconnected studies on simultaneous attention to form and meaning, we revisit L2 learners’ real-time processing of text by using eye-tracking as an unobtrusive method to provide concurrent data on attention allocation. Seventy-five L2 Spanish learners were instructed to attend to an assigned form in a reading passage and to press a button when they noticed it. After reading the passage, the learners answered 10 multiple-choice comprehension questions. The participants’ responses to the comprehension questions and their reading behaviors reflected in eye-movement data suggest that attention to grammatical form may hinder L2 learners’ simultaneous attention to form and meaning. However, individual differences in global text processing contributed to the differences in the participants’ text-comprehension scores over and above the task instruction to attend to form: Slower L2 readers who read the passage more carefully showed better text comprehension.
Planning with Incomplete Information in Quantified Answer Set Programming
Authors: FANDINNO JORGE , LAFERRIERE FRANCOIS , ROMERO JAVIER , SCHAUB TORSTEN , SON TRAN CAO 
Published: September 2021

AbstractWe present a general approach to planning with incomplete information in Answer Set Programming (ASP). More precisely, we consider the problems of conformant and conditional planning with sensing actions and assumptions. We represent planning problems using a simple formalism where logic programs describe the transition function between states, the initial states and the goal states. For solving planning problems, we use Quantified Answer Set Programming (QASP), an extension of ASP with existential and universal quantifiers over atoms that is analogous to Quantified Boolean Formulas (QBFs). We define the language of quantified logic programs and use it to represent the solutions different variants of conformant and conditional planning. On the practical side, we present a translation-based QASP solver that converts quantified logic programs into QBFs and then executes a QBF solver, and we evaluate experimentally the approach on conformant and conditional planning benchmarks.
An ASP-based Solution to the Chemotherapy Treatment Scheduling problem
Authors: DODARO CARMINE , GALATÁ GIUSEPPE , GRIONI ANDREA , MARATEA MARCO , MOCHI MARCO , PORRO IVAN 
Published: September 2021

AbstractThe problem of scheduling chemotherapy treatments in oncology clinics is a complex problem, given that the solution has to satisfy (as much as possible) several requirements such as the cyclic nature of chemotherapy treatment plans, maintaining a constant number of patients, and the availability of resources, for example, treatment time, nurses, and drugs. At the same time, realizing a satisfying schedule is of upmost importance for obtaining the best health outcomes. In this paper we first consider a specific instance of the problem which is employed in the San Martino Hospital in Genova, Italy, and present a solution to the problem based on Answer Set Programming (ASP). Then, we enrich the problem and the related ASP encoding considering further features often employed in other hospitals, desirable also in S. Martino, and/or considered in related papers. Results of an experimental analysis, conducted on the real data provided by the San Martino Hospital, show that ASP is an effective solving methodology also for this important scheduling problem.
Cryo-Confocal Imaging for CLEM Mapping in Brain Tissues
Authors: Thomas Connon I. , Urban Nicolai T. , Sun Ye , Colgan Lesley A. , Tu Xun , Yasuda Ryohei , Kamasawa Naomi 
Published: September 2021

Abstract:In correlative light and electron microscopy (CLEM) workflows, identifying the same sub-cellular features in tissue by both light (LM) and electron microscopy (EM) remains a challenge. Furthermore, use of cryo-fixation for EM is desirable to capture rapid biological phenomena. Here, we describe a workflow that incorporates cryo-confocal laser scanning microscopy into the CLEM process, mapping cells in brain slices to re-image them with serial section scanning electron microscopy (ssSEM) array tomography. The addition of Airyscan detection increased the signal-to-noise ratio (SNR), allowing individual spines in thick frozen tissue to be visualized at a sufficient spatial resolution, providing a new tool for a CLEM approach to capture biological dynamics.
Artificial Intelligence-Powered Automated Holotomographic Microscopy Enables Label-Free Quantitative Biology
Authors: Moreno Hugo , Archetti Lorenzo , Gibbin Emma , Grandchamp Alexandre E. , Fréchin Mathieu 
Published: September 2021

Abstract:Holotomographic microscopy (HTM) measures the refractive index (RI) tomograms of living cells and tissues in three dimensions. The ability to observe biological processes at high spatial and temporal resolution opens uncharted territories for cell biologists, however, current HTM devices have a limited throughput. We show here the first automated multi-well plate-compatible HTM device, the CX-A. Thanks to state-of-the-art environment control and a new type of autofocus, the CX-A can record multiple conditions in parallel over large fields of view, while its software EVE supports automated single-cell segmentation and quantification. This opens the door to new applications for HTM, from drug screening to systems biology.
Ultrafast Transmission Electron Microscopy: Techniques and
Applications
Authors: Montgomery Eric , Leonhardt Darrin , Roehling John 
Published: September 2021

Abstract:With the growing applications of temporally resolved electron microscopy for
probing basic phenomena and reducing beam-induced damage, a multifaceted
introduction to the field of ultrafast transmission electron microscopy is
provided. This primer includes techniques and equipment as well as
implementation perspectives. Historical developments and recent technical
advances will provide insight into ultrafast capabilities for research as well
as educate electron microscopists on the general techniques. This technology
review also includes applications enabled by ultrafast techniques using various
sample stimuli from multidisciplinary fields.
Cenozoic Tectono‐Geomorphologic Evolution of the Pamir‐Tian Shan Convergence Zone: Evidence From Detrital Zircon U‐Pb Provenance Analyses
Authors: Jia Yingying , Glotzbach Christoph , Lü Lixing , Ehlers Todd A. 
Published: September 2021

AbstractThe Pamir is the northwestward continuation of the Tibet‐Himalaya orogen and translated ∼50–300 km northward toward the Tian Shan in Mesozoic‐Cenozoic times. Although this region has been studied extensively over the past few decades, our knowledge of the timing of mountain building in the Pamir is incomplete. In this study, we applied provenance analyses of Cretaceous‐Pliocene sediments from the Tierekesazi section in the Pamir‐Tian Shan corridor to reconstruct the Cenozoic evolution of the Pamir‐Tian Shan orogens. Provenance data from new detrital zircon U‐Pb ages and paleocurrent measurements indicate that the main source area of sediments in the studied section shifted from the Tian Shan to the Northern Pamir at ∼41–40 Ma. When combined with published provenance data, eastward decreasing sediment transport distances suggest that the Pamir was characterized by an asymmetric drainage system with larger drainage basins developed in the western Pamir than the eastern Pamir since the late Eocene. This resulted from either eastward decrease in precipitation rate caused by the uplift of the Pamir orocline or relatively low topography of the western Pamir. Furthermore, observed east and south directed paleocurrents and a dominance of Paleozoic detrital zircon U‐Pb ages in the upper Miocene‐Pliocene sediments suggest the SW Tian Shan was uplifted and became the primary provenance of the Tierekesazi section in the late Miocene. Simultaneously, the thrust belt of the Pamir propagated into its northern foreland and the present‐day east flowing drainage system in the eastern Pamir‐Tian Shan convergence zone was established in the late Miocene.