bluuebunny/crossref_metadata_2025_split huggingface dataset:
The clinical characteristics, novel predictive tool, and risk classification system for primary Ewing sarcoma patients that underwent chemotherapy: A large population‐based retrospective cohort study
Authors: Huang Chao , Yu Qiu‐Ping , Ding Zichuan , Zhou Zongke , Shi Xiaojun 
Published: October 2022

AbstractBackgroundThis study aims to determine the independent prognostic predictors of cancer‐specific survival (CSS) in patients with primary Ewing sarcoma (ES) that underwent chemotherapy and create a novel prognostic nomogram and risk stratification system.MethodsDemographic and clinicopathologic characteristics related to patients with primary ES that underwent chemotherapy between 2000 and 2018 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. CSS was the primary endpoint of this study. First, independent prognostic predictors of CSS identified from univariate and multivariate Cox regression analyses were used to construct a prognostic nomogram for predicting 1‐, 3‐, and 5‐year CSS of patients with primary ES that underwent chemotherapy. Then, calibration curves and receiver operating characteristic (ROC) curves were used to evaluate the nomogram's prediction accuracy, while decision curve analysis (DCA) was used to evaluate the nomogram's clinical utility. Finally, a mortality risk stratification system was constructed for this subpopulation.ResultsA total of 393 patients were included in this study. Age, tumor size, bone metastasis, and surgery were independent prognostic predictors of CSS. The calibration curves, ROC, and DCA showed that the nomogram had excellent discrimination and clinical value, with the 1‐, 3‐, and 5‐year AUCs higher than 0.700. Moreover, the mortality risk stratification system could effectively divide all patients into three risk subgroups and achieve targeted patient management.ConclusionsBased on the SEER database, a novel prognostic nomogram for predicting 1‐, 3‐, and 5‐ year CSS in patients with primary ES that underwent chemotherapy has been constructed and validated. The nomogram showed relatively good performance, which could be used in clinical practice to assist clinicians in individualized treatment strategies.
Left atrial thrombus after placement of watchman device
Authors: Isang Emmanuel , Stephens Shawna , Coombes Tyler , Abney Lon , Baljepally Gayathri 
Published: October 2022

AbstractAtrial fibrillation is an irregular rhythm with increased risk of morbidityand mortality. Commonly due to thromboembolism at the left atrialappendage. Guideline therapy for atrial fibrillation is anticoagulation.Alternative treatment includes closure with the Watchman device. Wepresent a case of Watchman device‐related thrombus seven monthsafter placement.
Sharp expansion of the cesarean delivery uterine incision in women with previous cesarean section scars
Authors: Chatzipapas Ioannis , Diakosavvas Michail , Angelou Kyveli , Kypriotis Konstantinos , Douligeris Athanasios , Kathopoulis Nikolaos 
Published: October 2022

AbstractAlthough the blunt uterine incision expansion during a low‐transverse cesarean delivery has prevailed over the sharp technique, the latter should not be completely abandoned. The sharp method with scissors should be considered when managing patients with previous cesarean sections, although more studies are required for a definite answer.
Inadvertent extravasations of norepinephrine
Authors: Pradhan Ravi Ranjan 
Published: October 2022

AbstractA male patient of diabetic ketoacidosis and septic shock was started on norepinephrine infusion following which he developed bulla and subcutaneous tissue ischemia in the event of inadvertent extravasations of norepinephrine. The patient improved after management with mechanical debridement of necrosed tissue and regular dressing of the wound. The use of higher concentration of norepinephrine via peripheral intravenous route may lead to vasoconstriction and subcutaneous tissue ischemia due to inadvertent extravasations.
A Copper‐Catalyzed [5+1] Cycloaddition of Terminal Alkynes with Diazo Esters through a Tandem 1,5‐H‐Shift Cyclization
Authors: Hao Tonggang , Shi Min , Wei Yin 
Published: October 2022

Comprehensive SummaryA copper‐catalyzed [5+1] cycloaddition reaction of terminal alkynes with diazo esters for the rapid construction of protected naphthalen‐1(2H)‐one derivatives in moderate to good yields has been disclosed along with good functional group compatibility and a broad substrate scope. The mechanistic investigations reveal that this tandem cyclization process proceeds through a Cu(I)‐catalyzed coupling of terminal alkyne with diazoacetate, a 1,5‐H shift process and a thermally induced pericyclic reaction via an allene intermediate. The synthetic utility and the further transformations of the obtained cycloadduct to naphthalenone, naphthol and dihydronaphthol have been also presented in this paper.
Simultaneous brightness contrast with three different stimuli: 2D, 3D, and D‐up
Authors: Ikeda Mitsuo , Phuangsuwan Chanprapha 
Published: October 2022

AbstractIn this study, simultaneous brightness contrast was investigated using three different devices: 2D (paper), 3D (space), and D‐up. The paper stimuli were made by printing papers, the space stimuli were produced by illumination in a two‐rooms experimental booth, and the D‐up stimuli were shown to subjects using a D‐up viewer. The brightness of test patches was judged by the amounts of whiteness and blackness. The results were different among the devices; however, if the whiteness of the test patches was plotted for the luminance contrast of the test patch versus the surround, all the data points were expressed by nonlinear equations. Data from the space stimuli were expressed by only one equation; those from the paper stimuli were also expressed by the nonlinear equation but with different coefficients for each test patch. The results from D‐up were between those of the space and paper experiments. All the results were explained in relation to the hypothesized illuminated space over the surrounds. The difference among devices was explained by the whiteness of the surround being transferred to the illumination.
Bitcoin price prediction using optimized multiplicative long short term memory with attention mechanism using modified cuckoo search optimization
Authors: Shahul Hameed Aarif Ahamed , Ravi Chandrasekar 
Published: October 2022

SummaryFor the past few years, Bitcoin plays a vital role in both the economical and financial industries. In order to gain a huge return on investment, the investors are eager to forecast the future value of Bitcoin. However, Bitcoin price variation is quite nonlinear and chaotic in nature, so it creates more difficulty in forecasting future value. Researchers found that the multiplicative long short term memory (LSTM) model will be more efficient for predicting those complex variations. So, target mission is about to develop an optimized multiplicative LSTM with an Attention mechanism using Technical Indicators derived from historical data. A modified cuckoo search optimization model is proposed to tune the hyperparameter of the Deep Learning model. This novel optimization algorithm eliminates the local optimum and slower convergence problem of the cuckoo search optimization algorithm. Deibold Mariano test is performed to statistically evaluate the proposed model and it is inferred that the recommended methodology is statistically fit. Regression metrics such as root mean square error, mean square error and mean absolute error has been used for comparative evaluation with related benchmark techniques such as genetic algorithm optimized LSTM (GA–LSTM), particle swarm optimized LSTM (PSO–LSTM) and cuckoo search optimized LSTM (CSO–LSTM). The empirical result shows that the recommended methodology outperforms the taken benchmark models and provides better accuracy.
A novel approach to alleviate data sparsity and generate dynamic fruit recommendations from point‐of‐sale data
Authors: Gupta Garima , Katarya Rahul 
Published: October 2022

SummaryRecommender systems have become a core part of the retail experience. Retailers often rely on recommender systems to help them drive more conversions through targeted communication and advertisements. However, recommender systems are not one size fits all. Specialized retailers require specialized recommender systems to consider various features, attributes, and dynamics about the product category. In this paper, we have proposed a novel fruit recommender system that generates dynamic recommendations while remediating the problem of data sparsity. We have developed a novel fruit recommender system that considers the temporal dynamics in the fruit market, like price fluctuations, fruit seasonality, and quality variations that occur throughout the year. To perform this task, we have used Recurrent Recommender Network (RRN), which uses the deep learning method Long Short‐Term Memory (LSTM) to implement the system model. To ensure that our work and results obtained are practical, we have worked in a real‐world setting, by tying up with a specialty fruit retailer based in New Delhi to get the real‐world Point‐of‐Sale (POS) data of consumers. The result of the study suggests our algorithm performs better than other benchmark algorithms along NDCG and RMSE metrics.
Comparative assessment of early season soybean cultivars in organic and conventional production system for morphological and agronomic traits
Authors: Boyle Torin , Najafabadi Mohsen Yoosefzadeh , Rajcan Istvan 
Published: October 2022

AbstractOrganic production systems differ from the conventional system, especially because of the insect pest, weed, disease, and nutrient management. Therefore, there has been a focus on increasing performance stability in soybean [Glycine max (L.) Merr.] cultivars specifically adapted for organic farms. The objective of this study was to conduct a comparative assessment of Maturity Group 0 soybean genotypes grown in both organic and conventional conditions for several traits important in the organic soybean production system, such as early season canopy development, root morphology, nodule production, and nutrient use efficiency. A soybean panel consisting of 33 cultivars was grown in four environments (two locations × two years) on an organic farm and conventional production system farm in Southern Ontario, Canada. Significant differences among genotypes were observed for root morphology and canopy development in the organic environment only. Early season canopy development, root length, nodule mass, and nutrient use efficiency were related to yield in both environments. In addition, yield rank correlations between genotypes in two locations were significant in 2014 (r = .57) and 2015 (r = .31), and some large crossover effects were observed in both tested years. The principal components analysis for these and other agronomic traits showed that resource acquisition traits such as canopy development, root length, and nodule mass were more closely related to yield in the organic system than nutrient use efficiency. Overall, the results of this study may be useful for soybean breeders interested in developing cultivars adapted to the organic production system.
Targeting SARS‐CoV‐2 infection through CAR‐T‐like bispecific T cell engagers incorporating ACE2
Authors: Dogan Mikail , Kozhaya Lina , Placek Lindsey , Karabacak Fatih , Yigit Mesut , Unutmaz Derya 
Published: October 2022

AbstractObjectivesDespite advances in antibody treatments and vaccines, COVID‐19 caused by SARS‐CoV‐2 infection remains a major health problem resulting in excessive morbidity and mortality and the emergence of new variants has reduced the effectiveness of current vaccines.MethodsHere, as a proof‐of‐concept, we engineered primary CD8 T cells to express SARS‐CoV‐2 Spike protein‐specific CARs, using the extracellular region of ACE2 and demonstrated their highly specific and potent cytotoxicity towards Spike‐expressing target cells. To improve on this concept as a potential therapeutic, we developed a bispecific T cell engager combining ACE2 with an anti‐CD3 scFv (ACE2‐Bite) to target infected cells and the virus.ResultsAs in CAR‐T cell approach, ACE2‐Bite endowed cytotoxic cells to selectively kill Spike‐expressing targets. Furthermore, ACE2‐Bite neutralized the pseudoviruses of SARS‐CoV, SARS‐CoV‐2 wild‐type, and variants including Delta and Omicron, as a decoy protein. Remarkably, ACE2‐Bite molecule showed a higher binding and neutralization affinity to Delta and Omicron variants compared to SARS‐CoV‐2 wild‐type Spike proteins.ConclusionIn conclusion, these results suggest the potential of this approach as a variant‐proof, therapeutic strategy for future SARS‐CoV‐2 variants, employing both humoral and cellular arms of the adaptive immune response.
Optimal transmit antenna selection using hybrid algorithm for massive MIMO technology
Authors: Singh Charanjeet , Kishoreraja Parasuram Chandrasekaran 
Published: October 2022

SummaryMassive multiple input multiple output (M‐MIMO) methods make reference to a useful method for using multipath propagation to communicate and receive multiple data signals at once over a single radio channel. To simultaneously transfer numerous data streams, it makes use of various antennas. The quantity of power used grows as the quantity of antennas rises. As a result, choosing the best transmit antennas, which is a major difficulty in M‐MIMO systems, becomes important. In this research, “Hybrid Sea Lion‐Whale Algorithm (HS‐WA)” is introduced by choosing a best transmit antenna while taking into account several objectives. This method optimizes overall capacity and efficiency. The chosen method combines the “Whale Optimization Algorithm (WOA) and Sea Lion Optimization Algorithm (SLnO)” that determines which antenna should be chosen while also optimizing the antenna quantity. Finally, energy efficiency (EE) and capacity analysis results demonstrate that the provided approach is superior to all other models.
Insights into the growth morphology of calcite cement
Authors: Dickson John Anthony Dawson 
Published: October 2022

AbstractThe classic work on the morphology of limestone calcite cements done in the 1960s is extended here by utilising growth zones to reconstruct the growth of cement crystals. Only cement composed of fitted polyhedral monocrystals that form by passive crystallisation of calcite on the walls of liquid‐filled, static pores and fissures is considered. Cement can either be initiated by (1) nucleation, when new crystals start but are not attached to their substrate, or (2) seeding, when new crystals are seamlessly connected to and influenced by substrate crystals. After seeding, epitaxial cement growth starts with many sub‐crystals that coalesce distally, followed by layered mantle growth. Junctions between three intercrystalline boundaries in cement aggregates with one interfacial angel = 180° are of two types: the first, enfacial junctions are caused by a pause in the growth of one crystal and the second is caused by movement of all boundaries due to dissolution of adjacent calcite. Growth zone offsetting at some intercrystalline boundaries is caused by dissolution of calcite at boundaries when permeability values are low. The same width to height ratio of mature aggregate crystals is predicted from the shape of the crystal's growth surfaces; dogtooth calcite forms columnar and nail‐head calcite forms tabular‐shaped crystals. Seeding on different sized crystals causes variations in epitaxial growth rate with faster growth on large crystals resulting in a disorganised cement fabric; the variation in epitaxial growth rate is perpetuated into mantle growth. Echinoderm syntaxial crystals dominate many pore cements due to the large size of their seed ossicles, at the same time, syntaxial crystals form on relatively tiny seeds. Texturally mature crystal aggregates with isopachous fabric are initiated from three different substrate to cement arrangements. Calcite cement zones preserve their original positions allowing the investigation of cement's growth and chemical history.
Exploring environmenATL justice and data analytics in an environmental studies lab course
Authors: Vereen Ethell 
Published: October 2022

AbstractThe environmental studies laboratory is an exciting place where students investigate, analyze, and reflect. Students test and apply theories and make abstract concepts concrete. As an example, ecology and environmental science are increasingly using “big data” to expand and refine research questions. This commentary reflects on the design and integration of an environmental justice and data analytics module in an environmental studies lab course. The module introduces an environmental justice framework to give students an understanding of tools and strategies to engage, assess, and intervene at multiple levels; while also developing advocacy and communication skills. Poor and minority populations have historically borne the brunt of environmental inequalities in the United States, suffering disproportionally from the effects of pollution, resource depletion, dangerous jobs, limited access to common resources, and exposure to environmental hazards. Paying particular attention to “redlining” and the ways that race, ethnicity, class, and gender have shaped the political and economic dimensions of environmental injustices, this module challenges students to critically examine redlining, socioeconomic, and environmental factors in Atlanta, Georgia (USA) to develop and explore research questions that may visually and/or statistically illuminate trends, patterns, and processes of environmenATL justice. This module also introduces some of the basic data handling and data analysis skills that give students an understanding of data types, descriptive statistics, sampling, and basic inferential statistics. By intentionally incorporating environmental justice activities and conversations in the classroom, instructors afford students an opportunity to engage in authentic examination of their world and make positive changes. Many of the skills learned and knowledge gained in this activity are directly transferable to post‐baccalaureate studies (e.g., graduate school, medical school, professional training, etc.) and the world of employment. The module can also be adapted to various curriculum, courses, and communities.
Populations of western North American monkeyflowers accrue niche breadth primarily via genotypic divergence in environmental optima
Authors: Coughlin Aeran O. , Wooliver Rachel , Sheth Seema N. 
Published: October 2022

AbstractNiche breadth, the range of environments that individuals, populations, and species can tolerate, is a fundamental ecological and evolutionary property, yet few studies have examined how niche breadth is partitioned across biological scales. We use a published dataset of thermal performance for a single population from each of 10 closely related species of western North American monkeyflowers (genus Mimulus) to investigate whether populations achieve broad thermal niches through general purpose genotypes, specialized genotypes with divergent environmental optima, and/or variation among genotypes in the degree of generalization. We found the strongest relative support for the hypothesis that populations with greater genetic variation for thermal optimum had broader thermal niches, and for every unit increase in among‐family variance in thermal optimum, population‐level thermal breadth increased by 0.508°C. While the niche breadth of a single genotype represented up to 86% of population‐level niche breadth, genotype‐level niche breadth had a weaker positive effect on population‐level breadth, with every 1°C increase in genotypic thermal breadth resulting in a 0.062°C increase in population breadth. Genetic variation for thermal breadth was not predictive of population‐level thermal breadth. These findings suggest that populations of Mimulus species have achieved broad thermal niches primarily through genotypes with divergent thermal optima and to a lesser extent via general‐purpose genotypes. Future work examining additional biological hierarchies would provide a more comprehensive understanding of how niche breadth partitioning impacts the vulnerabilities of individuals, populations, and species to environmental change.
Coral bleaching due to cold stress on a central Red Sea reef flat
Authors: Rich Walter A. , Carvalho Susana , Berumen Michael L. 
Published: October 2022

AbstractOcean warming is leading to more frequent coral bleaching events. However, cold stress can also induce bleaching in corals. Here, we report observations of a boreal winter bleaching event in January 2020 in the central Red Sea, mainly within a population of the branching coral Stylophora pistillata on an offshore reef flat. Sea surface temperatures (SSTs) rarely fall below 24°C in this region, but data loggers deployed on several nearby reef flats recorded overnight seawater temperatures as low as 18°C just 3 days before the observations. The low temperatures coincided with an extremely low tide and cool air temperatures, likely resulting in the aerial exposure of the corals during the night time low‐tide event. The risk of aerial exposure is rare in winter months, as the Red Sea exhibits seasonal fluctuations in sea level with winter values typically 0.3–0.4 m higher than in summer. These observations are notable for a region typically characterized as a high‐temperature sea, and highlight the need for long‐term monitoring programs as this rare event may have gone unnoticed.