bluuebunny/crossref_metadata_2025_split huggingface dataset:
From the president's desk: #EndCCStigma: Social media as a tool to change public perception of 2‐year colleges
Authors: Robinson Steve 
Published: December 2021

AbstractThis article tells the story of the #EndCCStigma social media campaign and podcast. Created by a community college president, this grassroots effort to elevate the public perception of community colleges is comprised of a Twitter hashtag, a news aggregation algorithm, and a podcast series. In addition to delving into the concept of “stickiness” within these marketing efforts, which refers to ideas that are, among other things, simple, unexpected and emotional, the three‐part theory of the campaign is analyzed. Local and national news stories that were aggregated as part of the campaign are highlighted as case studies. Direct transcriptions from the podcast series are shared to provide extensive first‐hand voices of community college students, faculty, staff, and advocates. The article ends with an examination of recent national data on community college stigma, as well as the results of a survey on a community college campus conducted by students themselves.
Outcomes of chronic total occlusion percutaneous coronary intervention in patients with prior coronary artery bypass graft surgery: Insights from the LATAM CTO registry
Authors: Hernandez‐Suarez Dagmar F. , Azzalini Lorenzo , Moroni Francesco , Tinoco de Paula João Eduardo , Lamelas Pablo , Campos Carlos M. , Harada Ribeiro Marcelo , Martins Filho Evandro , Damas de los Santos Felix , Padilla Lucio , Alcantara‐Melendez Marco , Abud Marcelo A. , Almodóvar‐Rivera Israel A. , Moura Schmidt Marcia , Echavarria Mauro , Botelho Antonio Carlos , Del Rio Valentin , Quadros Alexandre , Santiago Ricardo 
Published: December 2021

AbstractObjectivesTo evaluate the outcomes of chronic total occlusion (CTO) percutaneous coronary intervention (PCI) in patients with and without prior coronary artery bypass graft (CABG) surgery.BackgroundData on the outcomes of CTO PCI in patients with versus without CABG remains limited and with scarce representation from developing regions like Latin America.MethodsWe evaluated patients undergoing CTO PCI in 42 centers participating in the LATAM CTO registry between 2008 and 2020. Statistical analyses were stratified according to CABG status. The outcomes of interest were technical and procedural success and in‐hospital major adverse cardiac and cerebrovascular events (MACCE).ResultsA total of 1662 patients were included (n = 1411 [84.9%] no‐CABG and n = 251 [15.1%] prior‐CABG). Compared with no‐CABG, those with prior‐CABG were older (67 ± 11 vs. 64 ± 11 years; p < 0.001), had more comorbidities and lower left ventricular ejection fraction (52.8 ± 12.8% vs. 54.4 ± 11.7%; p = 0.042). Anatomic complexity was higher in the prior‐CABG group (J‐CTO score 2.46 ± 1.19 vs. 2.10 ± 1.22; p < 0.001; PROGRESS CTO score 1.28 ± 0.89 vs. 0.91 ± 0.85; p < 0.001). Absence of CABG was associated with lower risk of technical and procedural failure (OR: 0.60, 95% CI: 0.43–0.85 and OR: 0.58, 95% CI: 0.40–0.83, respectively). No significant differences in the incidence of in‐hospital MACCE (3.8% no‐CABG vs. 4.4% prior‐CABG; p = 0.766) were observed between groups.ConclusionIn a contemporary multicenter CTO‐PCI registry from Latin America, prior‐CABG patients had more comorbidities, higher anatomical complexity, lower success, and similar in‐hospital adverse event rates compared with no‐CABG patients.
Comparison of subclavian vein to inferior vena cava collapsibility by ultrasound in acute heart failure: A pilot study
Authors: Kaptein Yvonne E. , Kaptein Elaine M. 
Published: December 2021

AbstractBackgroundManagement of acute decompensated heart failure (ADHF) requires accurate assessment of relative intravascular volume, which may be technically challenging. Inferior vena cava (IVC) collapsibility with respiration reflects intravascular volume and right atrial pressure (RAP). Subclavian vein (SCV) collapsibility may provide an alternative.HypothesisThe purpose of this study was to examine the relationship between SCV collapsibility index (CI) and IVC CI in ADHF.MethodsThis was a prospective study of non‐ventilated patients with ADHF who had paired IVC and SCV ultrasound assessments. As SCV CI is highly position‐dependent, measurements were performed supine at 30–45°.ResultsThirty‐three patients were included with 36 encounters. The sample size was adequately powered for receiver‐operator characteristic (ROC) analysis. SCV CI correlated with IVC CI during relaxed breathing (R = .65,n = 36,p < .001) and forced inhalation (R = .47,n = 36,p = .0036). SCV CI < 22% and >33% corresponded to IVC CI < 20% and >50% suggesting hypervolemia (sensitivity/specificity: 72%) and hypovolemia (sensitivity/specificity: 78%), respectively. Moderate to severe tricuspid regurgitation (TR) compared to less than moderate TR was associated with lower SCV CI (medians: 12.4% vs. 25.3%,p = .022) and IVC CI (medians: 9.6% vs. 35.6%,p = .0012). SCV CI and IVC CI were not significantly different among chronic kidney disease stages.ConclusionIn non‐ventilated ADHF, SCV CI at 30–45° correlates with paired IVC CI, and may provide an alternative to IVC CI for assessment of relative intravascular volume, which may facilitate clinical management. Moderate to severe TR decreases SCV CI and IVC CI and may result in overestimation of relative intravascular volume.
Dihydropyridine Lactam Analogs Targeting BET Bromodomains
Authors: Jiang Jiewei , Sigua Logan H. , Chan Alice , Kalra Prakriti , Pomerantz William C.K. , Schönbrunn Ernst , Qi Jun , Georg Gunda I. 
Published: December 2021

AbstractInhibitors of Bromodomain and Extra Terminal (BET) proteins are investigated for various therapeutic indications, but selectivity for BRD2, BRD3, BRD4, BRDT and their respective tandem bromodomains BD1 and BD2 remains suboptimal. Here we report selectivity‐focused structural modifications of previously reported dihydropyridine lactam 6 by changing linker length and linker type of the lactam side chain in efforts to engage the unique arginine 54 (R54) residue in BRDT‐BD1 to achieve BRDT‐selective affinity. We found that the analogs were highly selective for BET bromodomains, and generally more selective for the first (BD1) and second (BD2) bromodomains of BRD4 rather than for those of BRDT. Based on AlphaScreen and BromoScan results and on crystallographic data for analog 10 j, we concluded that the lack of selectivity for BRDT is most likely due to the high flexibility of the protein and the unfavorable trajectory of the lactam side chain that do not allow interaction with R54. A 15‐fold preference for BD2 over BD1 in BRDT was observed for analogs 10 h and 10 m, which was supported by protein‐based 19F NMR experiments with a BRDT tandem bromodomain protein construct.
A dynamic population reduction differential evolution algorithm combining linear and nonlinear strategy piecewise functions
Authors: Li Kangshun , Fu Xiangzheng , Wang Feng , Jalil Hassan 
Published: December 2021

AbstractThe population size has a great impact on the performance of the Differential Evolution (DE) algorithm, but in many classic DE algorithms, the population size is usually determined by the user based on the experience value, and it remains unchanged during the evolution process, which greatly affect the performance of DE. To this end, a dynamic population reduction differential evolution algorithm (DPSHADE) that combines linear and nonlinear strategy piecewise functions is proposed. The algorithm uses a dynamic population size reduction method to dynamically adjust the population size during operation, and construct a combination of linear and nonlinear piecewise functions for dynamic scale adaptive adjustment. In this paper, we proposed the DPSHADE algorithm and is compared with the four traditional algorithms in the CEC2017 benchmark set. The experimental results show that DPSHADE performs better in overall performance, which is significant better than the performance of SHADE.
Toward object alphabet augmentation for object detection in very high‐resolution satellite images
Authors: Laban Noureldin , Abdellatif Bassam , Ebeid Hala M. , Shedeed Howida A. , Tolba Mohamed F. 
Published: December 2021

SummaryObject detection in very high‐resolution satellite images has become an important tool in many fields. So there is a vital need to build a more precise and accurate detector. There is a great challenge to detect very small and condensed objects with their different semantics shapes. Recently, convolutional neural networks with different structures have achieved awesome performance. We propose object alphabet augmentation method that extracts object instants during the training process to form an alphabet for these objects in a newly generated dataset. The proposed method uses the DarkNet‐53 framework to get the main features for each object using two new generated datasets for alphabet augmentation up‐down where objects are placed in up down, and alphabet augmentation horizontal where objects are placed in their original setting. Experiments are conducted on datasets randomly generated from the DOTA dataset. The experimental results show that the proposed method has improved the accuracy of detection of the target objects of the DOTA dataset for most object classes, especially for the up‐down dataset.
Response to selection to different breeding methods for soybean flood tolerance
Authors: De Oliveira Maria Roberta , Wu Chengjun , Harrison Derrick , Florez‐Palacios Liliana , Acuna Andrea , Da Silva Marcos Paulo , Ravelombola Seconde Francia , Winter Joshua , Rupe John , Shakiba Eshan , Wood Lisa S. , Chen Pengyin , Nguyen Henry , Mozzoni Leandro Angel 
Published: December 2021

AbstractSelection for flood‐tolerance in soybean [Glycine max (L.) Merr.] is mainly phenotypic. With the development of new molecular breeding tools, our research objective was to assess the effect of different selection methods at the F4:5 and F4:6 stages on the response to flood tolerance and yield at F4:6 stage. Four breeding populations were subjected to six selection treatments: (a) flood tolerance screening using hill‐plots (VIShill); (b) flood tolerance screening using long rows (VISrow); (c) genomic selection using population‐specific training (GShill); (d) genomic selection using broad‐based training population (GSrow); (e) marker‐assisted selection (MAS); (f) advanced based on agronomic adaptation under nonflooded conditions (random selection, RND). The top 15% lines within were tagged for selection, except for MAS that was adjusted based on recovery of desired haplotype. The complete base populations (BP) were advanced into flood and yield trials to determine probability of discard (POD), tolerance index (TOL), and seed yield. Analysis of variance was conducted across populations, and means were separated via Dunnett to the BP. Results indicated significantly different responses for flood tolerance (POD and TOL) across selection methods (p < .0001), with VISrow and GSrow consistently having better tolerance selections than the BP (p < .0001). In addition, lines selected by RND had lower tolerance than BP (p = .0053 and .0618 for POD and TOL, respectively). Moreover, no significant differences were observed among selection treatments (p = .6797) for yield. In conclusion, when breeding for flood tolerance, selections under standard agronomic practices are inadequate, and genomic selection (GSrow) or field screening using long rows (VISrow) are favored selection methods.
Usefulness of ventilatory inefficiency in predicting prognosis across the heart failure spectrum
Authors: Gong Jingyi , Castro Renata R.T. , Caron Jesse P. , Bay Camden P. , Hainer Jon , Opotowsky Alexander R. , Mehra Mandeep R. , Maron Bradley A. , Di Carli Marcelo F. , Groarke John D. , Nohria Anju 
Published: December 2021

AbstractAimsThe minute ventilation–carbon dioxide production relationship (VE/VCO2 slope) is widely used for prognostication in heart failure (HF) with reduced left ventricular ejection fraction (LVEF). This study explored the prognostic value of VE/VCO2 slope across the spectrum of HF defined by ranges of LVEF.Methods and resultsIn this single‐centre retrospective observational study of 1347 patients with HF referred for cardiopulmonary exercise testing, patients with HF were categorized into HF with reduced (HFrEF, LVEF < 40%, n = 598), mid‐range (HFmrEF, 40% ≤ LVEF < 50%, n = 164), and preserved (HFpEF, LVEF ≥ 50%, n = 585) LVEF. Four ventilatory efficiency categories (VC) were defined: VC‐I, VE/VCO2 slope ≤ 29; VC‐II, 29 < VE/VCO2 slope < 36; VC‐III, 36 ≤ VE/VCO2 slope < 45; and VC‐IV, VE/VCO2 slope ≥ 45. The associations of these VE/VCO2 slope categories with a composite outcome of all‐cause mortality or HF hospitalization were evaluated for each category of LVEF. Over a median follow‐up of 2.0 (interquartile range: 1.9, 2.0) years, 201 patients experienced the composite outcome. Compared with patients in VC‐I, those in VC‐II, III, and IV demonstrated three‐fold, five‐fold, and eight‐fold increased risk for the composite outcome. This incremental risk was observed across HFrEF, HFmrEF, and HFpEF cohorts.ConclusionsHigher VE/VCO2 slope is associated with incremental risk of 2 year all‐cause mortality and HF hospitalization across the spectrum of HF defined by LVEF. A multilevel categorical approach to the interpretation of VE/VCO2 slope may offer more refined risk stratification than the current binary approach employed in clinical practice.
Models of cardiovascular surgery biobanking to facilitate translational research and precision medicine
Authors: Zhu YingYan , Jackson Dan , Hunter Benjamin , Beattie Lorna , Turner Lisa , Hambly Brett D. , Jeremy Richmond W. , Malecki Cassandra , Robertson Elizabeth N. , Li Amy , dos Remedios Cris , Richmond David , Semsarian Christopher , O'Sullivan John F. , Bannon Paul G. , Lal Sean 
Published: December 2021

AbstractBiobanking in health care has evolved over the last few decades from simple biological sample repositories to complex and dynamic units with multi‐organizational infrastructure networks and has become an essential tool for modern medical research. Cardiovascular tissue biobanking provides a unique opportunity to utilize cardiac and vascular samples for translational research into heart failure and other related pathologies. Current techniques for diagnosis, classification, and treatment monitoring of cardiac disease relies primarily on interpretation of clinical signs, imaging, and blood biomarkers. Further research at the disease source (i.e. myocardium and blood vessels) has been limited by a relative lack of access to quality human cardiac tissue and the inherent shortcomings of most animal models of heart disease. In this review, we describe a model for cardiovascular tissue biobanking and databasing, and its potential to facilitate basic and translational research. We share techniques to procure endocardial samples from patients with hypertrophic cardiomyopathy, heart failure with reduced ejection fraction, and heart failure with preserved ejection fraction, in addition to aortic disease samples. We discuss some of the issues with respect to data collection, privacy, biobank consent, and the governance of tissue biobanking. The development of tissue biobanks as described here has significant scope to improve and facilitate translational research in multi‐omic fields such as genomics, transcriptomics, proteomics, and metabolomics. This research heralds an era of precision medicine, in which patients with cardiovascular pathology can be provided with optimized and personalized medical care for the treatment of their individual phenotype.
Revisiting the Structural Evolution of Hydrotalcite‐Derived Mixed Metal Oxides upon Alkali Metal Doping and Its Impact on Base Catalysis
Authors: Lv Yali , Yu Qing , Mou Xiaoling , Lin Ronghe , Ding Yunjie 
Published: December 2021

AbstractThe structural evolution of classic coprecipitation‐derived Mg−Al mixed oxide (MMO) upon doping of different alkali metals in a wide level (1–20 wt.%) was revisited. The pristine lateral MMO of aggregates into particulates, accompanied with the dramatic loss of the surface areas and the formation of aluminates. These phenomena become severer with the decrease of the atomic radius. The formation of NaAlO2 likely occurs via the gradual dealumination of the MMO, which is highly dependent on both the dopant content and the activation temperature. This leads to ultimately a new ensemble with MgO as the core decorated by NaAlO2 in the outer surfaces at high Na doping level and above 973 K. When evaluated in the base‐catalyzed transesterification and acylation model reactions, the Na‐doped MMO show enhanced performance and a plateau at increasing doping that might be explained by an interplay between the number and strength of strong basicity.
Enantioselective Povarov Reactions: An Update of a Powerful Catalytic Synthetic Methodology
Authors: Lemos Bárbara C. , Venturini Filho Eclair , Fiorot Rodolfo G. , Medici Fabrizio , Greco Sandro J. , Benaglia Maurizio 
Published: December 2021

AbstractThe enantioselective Povarov reaction is one of the most powerful synthetic strategy to synthesize chiral, highly functionalized 1,2,3,4‐tetrahydroquinolines. The present Minireview aims to collect the most significant successful examples of highly efficient enantioselective catalytic protocols for this reaction, since 2014. A comprehensive discussion of different catalytic strategies employed in recent years to realize the enantioselective Povarov reaction is provided; the use of chiral phosphoric acids, thio(urea) and proline derivatives, as well as transition metal complexes will be presented. Additionally, this Minireview critically discusses the intriguing and yet obscure mechanistic pathways of this well‐known reaction, the controversial dispute between a concerted or a polar two‐step process.
Electrochemical Immunosensor for Lactate Dehydrogenase Detection Through Analyte‐driven Catalytic Reaction on Multi‐walled Carbon Nanotubes and Gold Nanoparticle Modified Carbon Electrode
Authors: Yi Yuhan , Li Yi , Li Weizhong , Cheng Mingjie , Wu Meisheng , Miao Jinfeng , Kang Wei , Xu Yuanyuan 
Published: December 2021

AbstractA novel electrochemical immunosensor for lactate dehydrogenase (LDH) detection was proposed based on analyte‐driven catalytic reaction by attaching LDH antibodies on multi‐walled carbon nanotubes (MWCNTs) and gold nanoparticles (AuNPs) modified glassy carbon electrodes (GCE). As LDH was captured by the antibodies on electrode surface, it catalyzed the formation of pyruvate and the reduced form of nicotinamide adenine dinucleotide (NADH), thus a sensitive electrochemical signal obtained from the above redox reaction was recorded by differential pulse voltammetry (DPV). Under optimum conditions, the developed immunosensor exhibits high sensitivity for LDH quantification ranging from 0.001 μg/mL to 0.5 μg/mL with a low detection limit at 0.39 ng/mL. This developed immunosensor reveals ideal accuracy and feasibility for LDH detection in Streptococcus uberis (S. uberis) induced bovine mammary epithelial cells (MECs) samples by comparison with conventional commercial kit, which shows remarkably application potential in diseases diagnosis.
Development of a complementary framework for implementing asset register solutions
Authors: English Lar , Yunusa‐Kaltungo Akilu , Kidd Moray , Labib Ashraf 
Published: December 2021

AbstractA correctly compiled asset register within an asset information management system (AIMS) provides the foundation for a successful asset data solution. The lack of correctly structured asset registers within organizations is acknowledged among research and communities of practice. A case study identified anomalies that emerge when using established standards, after which a comprehensive solution for hierarchies, naming conventions and attributes was offered. While standards such as BS ISO 1007 and ISO 14224 provide overarching solution principles, such provisions are not all‐encompassing and exist across several sources, which makes the task of developing asset registers error‐prone and laborious. Challenges associated with software applications were highlighted through combining personal industrial experience as well as consultations with the existing body of knowledge. Recommendations that enable successful deployment of AIMS, with emphasis on its accommodation of a reliable asset register were then proffered. Scalability was addressed which enables an asset register to expand. This study describes a novel and simplified approach embodied within a single document. Combining the prescriptions of this article with existing literature will ease the delivery of an asset register.
Recent progress in cathode interlayer materials for non‐fullerene organic solar cells
Authors: Ahmad Nafees , Zhou Huiqiong , Fan Ping , Liang Guangxing 
Published: December 2021

AbstractNon‐fullerene acceptors are currently a hot research area in the development of organic solar cells (OSCs). At present, the‐state‐of‐the‐art power conversion efficiency (PCE) of non‐fullerene organic solar cells (NF‐OSCs) with single and multiple‐junction has surpassed 18% and 19%, respectively. The cathode interlayer (CIL) plays a significant role in the improvement of PCE and the stability of OSCs. Recently, a large number of CIL materials have been employed in OSCs. This review summarizes the recent progress of CIL materials and systematically describes their impact on the device efficiency and stability in single‐junction NF‐OSCs. Firstly, the functions, key requirements, and distinctive features of CILs when used in NF‐OSCs are summarized. Afterward, some big families of materials including metal oxides, metal salts/complexes, small molecules, polymers, composites/hybrids are presented as CIL for NF‐OSCs. Finally, the scale‐up techniques, conclusion, and future challenges regarding CIL in NF‐OSCs are elucidated.image
Hierarchically porous membranes for lithium rechargeable batteries: Recent progress and opportunities
Authors: Li Xiangcun , Jiang Helong , Liu Yang , Guo Xuelin , He Gaohong , Chu Zhong , Yu Guihua 
Published: December 2021

AbstractHierarchically porous membranes offer an effective platform for facilitating mass transport and ion diffusion in energy storage systems and have the potential to achieve novel battery configurations. As the vital roles such as electrodes, interlayers, separators, and electrolytes in the battery systems, regulating the membrane porous structures and selecting appropriate membrane materials are significant for realizing high energy density, excellent rate capability, and long cycling stability of lithium rechargeable batteries (LRBs). In this review, we highlight recent progress on tunable synthesis of various porous membranes for LRB applications, and discuss how the membranes with hierarchically porous frameworks or ordered channels can be employed as electrodes/separators/interlayers for improved ion/electrolyte transport and charge transfer. We also present in‐depth discussion of the structure–property‐performance relationships of the membranes based on fundamental thermodynamic and kinetic aspects in membrane formation, transport mechanism, and cell configurations. Finally, the prospects of optimizing membrane development for advanced battery applications are discussed.image