bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the dataset quality in gamma passing rate predictions using machine learning methods
Authors: Quintero Paulo , Benoit David , Cheng Yongqiang , Moore Craig , Beavis Andrew 
Published: May 2023

Objective: Gamma passing rate (GPR) predictions using machine learning methods have been explored for treatment verification of radiotherapy plans. However, these methods presented datasets with unbalanced number of plans having different treatment conditions (heterogeneous datasets), such as anatomical sites or dose per fractions, leading to lower model interpretability and prediction performance. Methods: We investigated the impact of the dataset composition on GPR binary classification (pass/fail) using random forest (RF), XG-boost, and neural network (NN) models. 945 plans were used to create one reference dataset (randomly assembled) and 24 customized datasets that considered four heterogeneity factors independently (anatomical region, number of arcs, dose per fraction, and treatment unit). 309 predictor features were extracted and calculated from plan parameters, modulation complexity metrics, and radiomic analysis (leave-trajectory maps, 3D dose distributions, and portal dosimetry images). The models’ performances were measured using the area under the curve from the receiver operating characteristic (ROC-AUC). Results: Radiomics features for reference models increased ROC-AUC values up to 13%, 15%, and 5% for RF, XG-Boost, and NN, respectively. The datasets with higher heterogeneous conditions presented the lower ROC-AUC values (RF: 0.72 ± 0.11, XG-Boost: 0.67 ± 0.1, NN: 0.89 ± 0.05) compared to models with less heterogeneous treatment conditions (RF: 0.88 ± 0.06, XG-Boost: 0.89 ± 0.07, NN: 0.98 ± 0.01). The ten most important features for each heterogeneity dataset group demonstrated their correlation with the treatments’ physical aspects and GPR prediction. Conclusion: Improvements in data generalization and model performances can be associated with datasets having similar treatment conditions. This analysis might be implemented to evaluate the dataset quality and model consistency of further ML applications in radiotherapy. Advances in knowledge: Dataset heterogeneities decrease ML model performance and reliability.
MR texture analysis in the differentiation of renal oncocytoma with localized renal cell carcinoma subtypes
Authors: Wang Yichen , Zhang Xinxin , Wang Sicong , Chen Yan 
Published: May 2023

Objectives We aimed to explore the diagnostic efficacy of MR texture analysis and imaging signs in the differentiation of renal oncocytoma from renal cell carcinoma (RCC). Methods From January 2015 to March 2019, a total of 168 localized solid renal masses (37 oncocytomas, 131 RCCs) were retrospectively included. Two radiologists reviewed complete MR images and recorded imaging presentation. Texture parameters were extracted from 3D ROIs on axial FSE-T2WI. Univariate and multivariate logistic regressions were used for feature selection and nomogram construction. The diagnostic performances were assessed by receiver operating characteristic (ROC) curves. Results Cystic change, hemorrhage, SEI and four texture parameters significantly correlated with oncocytoma in the training cohort. For differentiating oncocytoma from RCC, the nomogram yielded an AUC of 0.874 in the training cohort and 0.830 in the testing cohort. For differentiating oncocytoma from chRCC, the nomogram had an AUC of 0.889 in the training cohort and 0.861 in the testing cohort. For differentiating oncocytoma from pRCC, the nomogram had an AUC of 0.932 in the training cohort and 0.792 in the testing cohort. For differentiating oncocytoma from ccRCC, the nomogram had an AUC of 0.829 in the training cohort and 0.813 in the testing cohort. Conclusion The diagnostic nomogram combining MR texture parameters with imaging signs performed well in differentiating oncocytomas with localized RCC and its subtypes. Advances in knowledge Few articles reported using the combination of MR texture analysis with imaging signs in differentiating RCC from oncocytoma. Our study established a useful nomogram in subtype characterization.
Third molar position after completion of orthodontic treatment: a prospective follow-up
Authors: Butaye Charlotte , Miclotte Annelie , Begnoni Giacomo , Zhao Zuodong , Zong Chen , Willems Guy , Verdonck Anna , Jacobs Reinhilde , Cadenas de Llano-Pérula Maria 
Published: May 2023

Objectives: To prospectively follow up a previously reported sample, analyzing (1) changes in third molar (M3) position after completion of 2 different types of orthodontic treatment: (2) non-extraction treatment with (HG) vs without cervical headgear (non-HG) and (3) first or second premolar extractions (PM1-2) compared to a non-extraction group (NE). Methods: A total of 474 patients were prospectively followed up. Panoramic radiographs were taken pre- (T1), post-treatment (T2) and at follow-up (T3). T3 records (a mean of three years after treatment) were available for 135 (HG vs non-HG) and 134 patients (PM1-2 vs NE), respectively. Angulation, vertical position, relation with the mandibular canal and mineralization status of M3 at T2 and T3 were statistically compared. Results: The HG group presented more M3 with ideal vertical orientation at T3. In NE-cases, further improvement in angulation and orientation can be expected after debonding, as well as a deterioration in the relationship with the mandibular canal. Extractions accelerated upper M3 vertical eruption and PM2 extractions led to long-term larger lower retromolar spaces. Conclusions: The use of cervical headgear increased upper M3 uprighting three years after debonding, while little changes in M3 position were found after orthodontic treatment with extractions. However, PM2 extractions led to larger retromolar spaces and better M3 angulation in the long term.
Refinement of image quality in panoramic radiography using a generative adversarial network
Authors: Kim Hak-Sun , Ha Eun-Gyu , Lee Ari , Choi Yoon Joo , Jeon Kug Jin , Han Sang-Sun , Lee Chena 
Published: May 2023

Objective:We aimed to develop and assess the clinical usefulness of a generative adversarial network (GAN) model for improving image quality in panoramic radiography.Methods:Panoramic radiographs obtained at Yonsei University Dental Hospital were randomly selected for study inclusion (n = 100). Datasets with degraded image quality (n = 400) were prepared using four different processing methods: blur, noise, blur with noise, and blur in the anterior teeth region. The images were distributed to the training and test datasets in a ratio of 9:1 for each group. The Pix2Pix GAN model was trained using pairs of the original and degraded image datasets for 100 epochs. The peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) were obtained for the test dataset, and two oral and maxillofacial radiologists rated the quality of clinical images.Results:Among the degraded images, the GAN model enabled the greatest improvement in those with blur in the region of the anterior teeth but was least effective in improving images exhibiting blur with noise (PSNR, 36.27 > 32.74; SSIM, 0.90 > 0.82). While the mean clinical image quality score of the original radiographs was 44.6 out of 46.0, the highest and lowest predicted scores were observed in the blur (45.2) and noise (36.0) groups.Conclusion:The GAN model developed in this study has the potential to improve panoramic radiographs with degraded image quality, both quantitatively and qualitatively. As the model performs better in refining blurred images, further research is required to identify the most effective methods for handling noisy images.
Microstructural characterization of near-surface microstructures on rail wheels in service – an insight into “stratified surface layers”
Authors: Freisinger Matthias , Trausmuth Andreas 
Published: May 2023

Background: To decrease maintenance costs and improve safety in rail transportation, the understanding of rail and wheel defects is vital. Studies on “white etching layers” (WEL) on rails and wheels, prone to fatigue crack initiation, have been extensively studied. Recently, a relative named “brown etching layer” (BEL) and its combination, the so-called “stratified surface layer” (SSL), are observed in the field. This study presents an investigation on a rail wheel affected by mechanical and thermal loadings from service with focus on the different evolved layers in the near-surface region. Methods: Optical microscopy is performed on etched cross-sectional cuts to identify different evolved microstructures (WEL, BEL, SSL), further, specific regions are investigated in detail by scanning electron microscopy to evaluate the microstructural characteristics. To analyze the change in mechanical properties, low-load Vickers hardness investigations are executed in distinctive zones. Results: This study highlights the broad variety of evolved microstructures, however, a rough classification of WEL (fine mesh-like microstructure, 900 – 1200 HV0.0.1) and BEL (globular cementite particles, 400 – 600 HV0.01) is given. Further, results indicate that the BEL is commonly accompanied by a WEL, representing an SSL. Conclusions: The complex loading situation in a wheel-rail contact can lead to the formation of WEL, BEL and SSL. The observation of numerous initiated fatigue cracks within these regions demonstrates the relevance of in-depth studies on evolved microstructures in wheel-rail contacts.
Find your PEOPLE: Scholarship of Teaching and Learning (SoTL) community of care
Authors: Kim Kayoung 
Published: May 2023

Scholarship of Teaching and Learning (SoTL) is an integral academic practice that provides professional development opportunities for faculty and enhances students’ classroom learning experiences. However, institutions vary significantly in valuing and implementing a culture of SoTL, creating a discrepancy which prohibits educators from fully embracing the identity of a SoTL scholar. Acknowledgment of SoTL work in tenure and promotion guidelines is not as widespread across different institutions, which could deter junior/instructional faculty from entering (and staying in) the SoTL space. Various academic disciplines differ on how SoTL work is valued. Without an intentional institution-based SoTL initiative, many may regard SoTL merely as a side addition to their professional career. However, SoTL is a field that systematically examines processes and practices in teaching and learning. It provides valuable insights and tools for teaching professionals to reflect on their teaching methods, explore evidence-based best practices, and transform student learning experiences. Research demonstrates educational benefits for students both as the primary beneficiary of SoTL and as active student partners in SoTL initiatives. Therefore, considering its nature of enhancing classroom experiences, SoTL is applicable to all teaching professionals, regardless of the respective institutional policies or narratives around it. The future of SoTL programming/initiatives should build on the idea that SoTL is not a one-time project; instead, it should weave in the intersections of teaching and research identities, and in response, create a SoTL community of care that focuses on continuous improvement and mutual support. Dissemination of SoTL should be an open invitation to all teaching bodies so that the SoTL scholar identity is embraced as one of their core professional identities. This article concludes by proposing a PEOPLE framework for the SoTL community of care.
use of SGLT2 inhibitors in the treatment of cognitive disorders
Authors: Lato Marta , Iberszer Konrad , Litwiniuk Maria , Zaniuk Marcin , Hurkała Kamil , Antonik Dominika , Denys Barbara , Góra Karolina , Zimnicki Patryk , Zdziennicki Wojciech 
Published: May 2023

Background:Dementia is a progressive and irreversible disease entity that affects memory, verbal fluency, thinking and the performance of daily activities.The most common type of dementia is alzheimer's disease(AD).Currently, there are no specific therapies with established efficacy against cognitive decline or AD.Objective:The aim of this study is to summarize the current knowledge about the effectiveness of SGLT2 inhibitors(SGLT2i) in the treatment of cognitive disorders.Method and material:The article was created based on the PubMed database and the Polish Journal of Endocrinology.Articles were searched in English using the following keywords: SGLT2ihibitors;dementia;Alzheimer type 3 diabetes mellitus.State of knowledge:Patients with type 2 diabetes (TD2) are 1.5-2 times more likely to develop dementia than the general population.Dementia among diabetic patients is characterized by an earlier age of onset, slightly worse overall cognitive status and a higher prevalence of cognitive impairment in male patients.Diabetes and pre-diabetes shorten the time from the onset of mild cognitive impairment (MCI) to the development of full-blown dementia.Conclusions:The use of SGLT2i is associated with reduced mortality from dementia, in contrast to insulin and sulfonylurea derivatives.SGLT2 inihibitors prevent cognitive impairment more potently than dipeptidylpeptidase-4 inhibitors. Taking empagliflozin for one month, is associated with improved cognitive function and increased scores on the Montreal Cognitive Assessment scale.
Order-Optimal Correlated Rounding for Fulfilling Multi-Item E-Commerce Orders
Authors: Ma Will 
Published: May 2023

Problem definition: We study the dynamic fulfillment problem in e-commerce, in which incoming (multi-item) customer orders must be immediately dispatched to (a combination of) fulfillment centers that have the required inventory. Methodology/results: A prevailing approach to this problem, pioneered by Jasin and Sinha in 2015 , has been to write a “deterministic” linear program that dictates, for each item in an incoming multi-item order from a particular region, how frequently it should be dispatched to each fulfillment center (FC). However, dispatching items in a way that satisfies these frequency constraints, without splitting the order across too many FCs, is challenging. Jasin and Sinha in 2015 identified this as a correlated rounding problem and proposed an intricate rounding scheme that they proved was suboptimal by a factor of at most [Formula: see text] on a q-item order. This paper provides, to our knowledge, the first substantially improved scheme for this correlated rounding problem, which is suboptimal by a factor of at most [Formula: see text]. We provide another scheme for sparse networks, which is suboptimal by a factor of at most d if each item is stored in at most d FCs. We show both of these guarantees to be tight in terms of the dependence on q or d. Our schemes are simple and fast, based on an intuitive idea; items wait for FCs to “open” at random times but observe them on “dilated” time scales. This also implies a new randomized rounding method for the classical Set Cover problem, which could be of general interest. Managerial implications: We numerically test our new rounding schemes under the same realistic setups as Jasin and Sinha and find that they improve runtimes, shorten code, and robustly improve performance. Our code is made publicly available online. History: This paper was selected for Fast Track in the M&SOM Journal from the 2022 MSOM Supply Chain Management SIG Conference. Funding: This research was partially funded by a grant from Amazon.com Inc., which was awarded through collaboration with the Columbia Center of AI Technology (CAIT).
Can Purpose Foster Stakeholder Trust in Corporations?
Authors: Gulati Ranjay , Wohlgezogen Franz 
Published: May 2023

As part of institutional changes toward more responsible capitalism, firms increasingly articulate a purpose beyond simply profit as a central tenet of their governance. Management scholarship has noted the potential advantages of such purpose-focus for stakeholder trust. However, some consumers, employees, and shareholders have expressed skepticism about the veracity of firms’ purpose claims and raised concerns about purpose-washing. We propose two distinct influence pathways—one cognitive, one affect-based—by which corporate purpose can influence stakeholder trust. First, purpose constitutes a signal of firm intent and quality that expresses a firm’s public, enduring commitments. It fosters cognitive trust by providing clarity and assurance regarding the firm’s future conduct, allowing stakeholders to better calculate relational and reputational risk and the instrumental value of exchange—even when they do not share the firm’s prosocial mission, principles for stakeholder relations, or its conception of virtues. Second, purpose presents a moral appeal to stakeholders. This appeal can stimulate positive affective responses, activate stakeholders’ hedonic and eudaemonic motives tied to their moral identity, and thus provide intuitive cues to trust the firm. By sharply delineating the pathways by which purpose can shape interorganizational trust, we not only illuminate how purpose can yield trust benefits but also when it is ineffectual and causes stakeholder backlash. This clarifies the role of purpose in shaping relational governance and multistakeholder cooperation and contributes to research on strategic and moral commitments as foundations of interorganizational trust.History: This paper has been accepted for the Strategy Science Special Issue on Corporate Purpose.
High-bandwidth coherent optical communication over 10.3  km of turbulent air
Authors: Karpathakis Skevos F. E. , Dix-Matthews Benjamin P. , Gozzard David R. , Schediwy Sascha W. 
Published: May 2023

We demonstrate 111.8 Gb/s coherent optical communication throughput over a 10.3 km folded free-space laser range. Folded links are low complexity to establish and provide a high uptime for testing equipment. The communication signals were sourced from an un-modified commercial off-the-shelf transceiver intended for long-haul fiber networks. Wavelength dependence was explored by testing 52 optical C-band channels over the course of an evening. In the future, such high-bandwidth communications will be used in feeder links from satellites in geosynchronous orbit. Optical power measurements of the received signal are compared with atmospheric theory to determine the turbulence strength exhibited and therefore the applicability of the laser range to space-to-ground links. We show that the high-uptime, 10.3 km laser range is suitable for testing high-bandwidth space-to-ground optical communication systems intended for links to geosynchronous orbit at 20°–50° elevation.
1.5-m flat imaging system aligned and phased in real time
Authors: Xie Zongliang , Yang Kaiyuan , Liu Yang , Xu Tianrong , Chen Botao , Ma Xiafei , Ruan Yong , Ma Haotong , Du Junfeng , Bian Jiang , Liu Dun , Wang Lihua , Tang Tao , Yuan Jiawei , Ren Ge , Qi Bo , Yang Hu 
Published: May 2023

Flat optics has been considered promising for constructions of spaceborne imaging systems with apertures in excess of 10 m. Despite recent advances, there are long-existing challenges to perform in-phase stitching of multiple flat optical elements. Phasing the segmented planar instrument has remained at the proof of concept. Here, we achieve autonomous system-level cophasing of a 1.5-m stitching flat device, bridging the gap between the concept and engineering implementation. To do so, we propose a flat element stitching scheme, by manipulating the point spread function, which enables our demonstration of automatically bringing seven flat segments’ tip/tilt and piston errors within the tolerance. With phasing done, the 1.5-m system has become the largest phased planar instrument ever built in the world, to our knowledge. The first demonstration of phasing the large practical flat imaging system marks a significant step towards fielding a 10-m class one in space, also paving the way for ultrathin flat imaging in various remote applications.
Treatment failure and associated factors among people living with HIV on highly active antiretroviral therapy in mainland China: A systematic review and meta-analysis
Authors: Niu Dandan , Tang Houlin , Chen Fangfang , Zhao Decai , Zhao Hehe , Hou Yushan , Wang Shi , Lyu Fan 
Published: May 2023

ObjectiveReducing the prevalence of treatment failure among people living with HIV (PLHIV) on highly active antiretroviral therapy (HAART) is crucial for improving individual health and reducing disease burden. This study aimed to assess existing evidence on treatment failure and its associated factors among PLHIV in mainland China.MethodsWe conducted a comprehensive search of PubMed, Web of Science, Cochrane Library, WanFang, China National Knowledge Infrastructure, and SinoMed databases. Relevant studies on treatment failure among PLHIV in mainland China until September 2022 were searched, including cross-sectional, case-control, and cohort studies. The primary outcome was treatment failure, and secondary outcomes were the potential influencing factors of treatment failure. We performed a meta-analysis to pool each outcome of interest, including meta-regression, subgroup, publication bias, and sensitivity analyses.ResultsA total of 81 studies were deemed eligible and included in the final meta-analysis. The pooled treatment failure prevalence among PLHIV in mainland China was 14.40% (95% confidence interval [CI]:12.30–16.63), of which the virological and immunological failure prevalence was 10.53% (95%CI:8.51–12.74) and 18.75% (95%CI:15.44–22.06), respectively. The treatment failure prevalence before and after 2016 was 18.96% (95%CI:13.84–24.67) and 13.19% (95%CI:10.91–15.64). Factors associated with treatment failure included good treatment adherence (odds ratio [OR] = 0.36, 95%CI:0.26–0.51), baseline CD4 counts>200 cells/μL (OR = 0.39, 95%CI:0.21–0.75), HAART regimens containing Tenofovir Disoproxil Fumarate (TDF) (OR = 0.70, 95%CI:0.54–0.92), WHO clinical stage III/IV (OR = 2.02, 95%CI:1.14–3.59) and age≥40 years (OR = 1.56, 95%CI:1.23–1.97).ConclusionThe prevalence of treatment failure among PLHIV receiving HAART in mainland China was low and tended to decline. Poor adherence, low baseline CD4 count, HAART regimens without TDF, advanced clinical stage, and old age were contributing factors for treatment failure. Relevant intervention programs are needed with increasing treatment adherence through behavioral intervention or precise intervention targeting older adults.