bluuebunny/crossref_metadata_2025 huggingface dataset:
Patterns of Piety in Manchester, John Rylands Library, Latin MS 165
Authors: Thompson Martin
Published: November 2022

This article proposes that Manchester, John Rylands Library, Latin MS 165 was an
‘accessory text’ produced and gifted within the Tudor court and
passed down by matrilineal transmission within the influential Fortescue family.
It proposes that from the text’s conception, the book of devotions
participated in various projects of self-definition, including Henry
VII’s campaign for the canonisation of his Lancastrian ancestor, Henry
VI. By analysing visual and textual evidence, it posits that later female owners
imitated the use of marginal spaces by the book’s original scribe and
illuminator. Finally, it traces the book’s ownership back from its
acquisition by the John Rylands Library to the viscounts Gage, in whose custody
the book underwent a transformation from potentially subversive tool of female
devotion to obscure historical artefact.
The Blake Renaissance
Authors: Horovitz Michael
Published: November 2022

This article, originally published in 1958, was written to commemorate William
Blake’s bicentenary. In it, the author observes that Blake has been
claimed or dismissed by successive generations since his death in 1827: for the
Romantics, he was a ‘weird crank’, while the Victorians enveloped
him in ‘their own damp sentimentalism’. The author argues that
Blake ‘evades appraisal because he was always working for a synthesis of
creation far beyond outward forms and genres’, which
meant ‘he had to invent his own methods to express himself
adequately’. He notes that the recent bicentenary was marked by
‘floods of exhibitions, magazine supplements, radio features, new books
from all sides devoted to him’. This clearly anticipates the Blakean
explosion of the 1960s, in which the author himself would play a major role.
This article can therefore be seen as marking the beginning of Sixties Blake in
Britain.
Iain Sinclair, William Blake and the Visionary Poetry of the 1960s
Authors: Riley James
Published: November 2022

This article considers the use made of William Blake by a range of writers
associated with the ‘countercultural’ milieu of the 1960s,
particularly those linked to its London-based literary context. Iain Sinclair is
offered as a writer who, in his appreciation of Blake, stands apart from the
poets linked to the anthology, Children of Albion (1969). The
article unpacks this distinction, analysing Sinclair’s
‘topographic’ take in comparison to the ‘visionary’
mode of his contemporaries. Having established this dualism, the argument then
questions the nature of the visionary poetics assumed to apply to the likes of
key poets from the era. The work of Michael Horovitz is brought into view, as is
that of Harry Fainlight. In essence, these multiple discourses point to the
plurality of Blake as a figure of influence and the variation underpinning his
literary utility in post-1960s poetry.
Reaching toward the Reader
Authors: Tillman Beth
Published: November 2022

This article is a close analysis of Baldwin’s voice in the essay
“Notes of a Native Son.” Much has been written about
Baldwin’s themes, but without his singular voice, the power of his works
would not endure. Through his use of diction, repetition, alliteration and
assonance, scene selection, and even punctuation, Baldwin provides the reader
with a transformative experience by rendering his own experience accessible. The
political and the personal are inextricable, a truth made unavoidable by the way
Baldwin writes as much as by the subject he chooses. Examining how he crafts his
voice allows us to understand more deeply the power of “Notes of a Native
Son.”
Comunicación integral de marketing empleada por microempresas de diseño industrial para la creación de valor
Authors: Waldo Lárraga Aidee Monsserrat , Rodríguez Gutiérrez Paola Isabel , Barrales Martínez Alfredo
Published: November 2022

Objetivo del estudio: El presente artículo aborda las prácticas de comunicación integrada de marketing (CIM) de microempresas dedicadas a la fabricación y comercialización de productos de diseño industrial, empleadas a través de la acción individual y colectiva en mercadillos urbanos de diseño, como es el caso del mercadillo Centro de las Artes (CEART) de San Luis Potosí.
Diseño / Metodología / Enfoque: Se siguió una metodología mixta con alcance exploratorio descriptivo, los instrumentos empleados fueron el cuestionario semiestructurado y la entrevista grupal. Se trabajó con una muestra no probabilística de 12 microempresas que pertenecen al Mercadillo CEART.
Resultados: Los hallazgos muestran que el trabajo colectivo y colaborativo enfocado en prácticas de comunicación integrada de marketing de las microempresas les permite impulsarse y posicionarse al mismo tiempo que crean valor para sus consumidores y capturan valor para ellas y para el mercadillo.
Limitaciones e implicaciones: La principal limitación es el surgimiento de la contingencia sanitaria provocada por el COVID-19, lo cual obstaculizó la recopilación de datos y a partir de ello se hicieron modificaciones en la estructura de los instrumentos de investigación y el método para aplicarlos. A pesar de ello este trabajo mejora la comprensión de las oportunidades de crecimiento y desarrollo de las microempresas de diseño y de los mercadillos, lo cual abre paso a la generación de directrices públicas y privadas claras, que apoyen la permanencia y un mayor alcance a sus públicos de interés.
Originalidad / contribución: La principal contribución de este artículo radica en la comprensión de las prácticas de comunicación integrada de marketing que permiten la optimización de las oportunidades de crecimiento y desarrollo de las microempresas de diseño y de los mercadillos, que a su vez representan un espacio de colaboración mercantil, recreación cultural, productividad social, entre otros aspectos que favorecen la economía local.
High-Performance Big Data Computing
Authors: Panda Dhabaleswar K. , Lu Xiaoyi , Shankar Dipti
Published: November 2022

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep learning.

Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions.

The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.
Teach Truth to Power
Authors: Garcia David R.
Published: November 2022

How academics and researchers can influence education policy: putting research in a policy context, finding unexpected allies, interacting with politicians, and more.

Scholarly books and journal articles routinely close with policy recommendations. Yet these recommendations rarely reach politicians. How can academics engage more effectively in the policy process? In Teach Truth to Power, David Garcia offers a how-to guide for scholars and researchers who want to influence education policy, explaining strategies for putting research in a policy context, getting “in the room” where policy happens, finding unexpected allies, interacting with politicians, and more.

Countering conventional wisdom about research utilization (also referred to as knowledge mobilization), Garcia explains that engaging in education policy is not a science, it is a craft—a combination of acquired knowledge and intuition that must be learned through practice. Engaging in policy is an interpersonal process; academics who hope to influence policy have to get face-to-face with the politicians who create policy. Garcia's experience as trusted insider, researcher, and political candidate make him uniquely qualified to offer a roadmap that connects research to policy. He explains that academics can leverage their content expertise to build relationships with politicians (even before they are politicians); demonstrates the effectiveness of the research one-pager; and shows how academics can teach politicians to be champions of research.
Functional interactions among neurons within single columns of macaque V1
Authors: Trepka Ethan B , Zhu Shude , Xia Ruobing , Chen Xiaomo , Moore Tirin
Published: November 2022

Recent developments in high-density neurophysiological tools now make it possible to record from hundreds of single neurons within local, highly interconnected neural networks. Among the many advantages of such recordings is that they dramatically increase the quantity of identifiable, functional interactions between neurons thereby providing an unprecedented view of local circuits. Using high-density, Neuropixels recordings from single neocortical columns of primary visual cortex in nonhuman primates, we identified 1000s of functionally interacting neuronal pairs using established crosscorrelation approaches. Our results reveal clear and systematic variations in the synchrony and strength of functional interactions within single cortical columns. Despite neurons residing within the same column, both measures of interactions depended heavily on the vertical distance separating neuronal pairs, as well as on the similarity of stimulus tuning. In addition, we leveraged the statistical power afforded by the large numbers of functionally interacting pairs to categorize interactions between neurons based on their crosscorrelation functions. These analyses identified distinct, putative classes of functional interactions within the full population. These classes of functional interactions were corroborated by their unique distributions across defined laminar compartments and were consistent with known properties of V1 cortical circuitry, such as the lead-lag relationship between simple and complex cells. Our results provide a clear proof-of-principle for the use of high-density neurophysiological recordings to assess circuit-level interactions within local neuronal networks.
Genome-wide base editor screen identifies regulators of protein abundance in yeast
Authors: Schubert Olga T , Bloom Joshua S , Sadhu Meru J , Kruglyak Leonid
Published: November 2022

Proteins are key molecular players in a cell, and their abundance is extensively regulated not just at the level of gene expression but also post-transcriptionally. Here, we describe a genetic screen in yeast that enables systematic characterization of how protein abundance regulation is encoded in the genome. The screen combines a CRISPR/Cas9 base editor to introduce point mutations with fluorescent tagging of endogenous proteins to facilitate a flow-cytometric readout. We first benchmarked base editor performance in yeast with individual gRNAs as well as in positive and negative selection screens. We then examined the effects of 16,452 genetic perturbations on the abundance of eleven proteins representing a variety of cellular functions. We uncovered hundreds of regulatory relationships, including a novel link between the GAPDH isoenzymes Tdh1/2/3 and the Ras/PKA pathway. Many of the identified regulators are specific to one of the eleven proteins, but we also found genes that, upon perturbation, affected the abundance of most of the tested proteins. While the more specific regulators usually act transcriptionally, broad regulators often have roles in protein translation. Overall, our novel screening approach provides unprecedented insights into the components, scale and connectedness of the protein regulatory network.
R-spondin 3 deletion induces Erk phosphorylation to enhance Wnt signaling and promote bone formation in the appendicular skeleton
Authors: Nagano Kenichi , Yamana Kei , Saito Hiroaki , Kiviranta Riku , Pedroni Ana Clara , Raval Dhairya , Niehrs Christof , Gori Francesca , Baron Roland
Published: November 2022

Activation of Wnt signaling leads to high bone density. The R-spondin family of four secreted glycoproteins (Rspo1-4) amplifies Wnt signaling. In humans, RSPO3 variants are strongly associated with bone density. Here, we investigated the role of Rspo3 in skeletal homeostasis in mice. Using a comprehensive set of mouse genetic and mechanistic studies, we show that in the appendicular skeleton, Rspo3 haplo-insufficiency and Rspo3 targeted deletion in Runx2+ osteoprogenitors lead to an increase in trabecular bone mass, with increased number of osteoblasts and bone formation. In contrast and highlighting the complexity of Wnt signaling in the regulation of skeletal homeostasis, we show that Rspo3 deletion in osteoprogenitors results in the opposite phenotype in the axial skeleton, i.e., low vertebral trabecular bone mass. Mechanistically, Rspo3 deficiency impairs the inhibitory effect of Dkk1 on Wnt signaling activation and bone mass. We demonstrate that Rspo3 deficiency leads to activation of Erk signaling which in turn, stabilizes β-catenin and Wnt signaling activation. Our data demonstrate that Rspo3 haplo-insufficiency/deficiency boosts canonical Wnt signaling by activating Erk signaling, to favor osteoblastogenesis, bone formation, and bone mass.
eGAC3D: enhancing depth adaptive convolution and depth estimation for monocular 3D object pose detection
Authors: Ngo Duc Tuan , Bui Minh-Quan Viet , Nguyen Duc Dung , Pham Hoang-Anh
Published: November 2022

Many alternative approaches for 3D object detection using a singular camera have been studied instead of leveraging high-precision 3D LiDAR sensors incurring a prohibitive cost. Recently, we proposed a novel approach for 3D object detection by employing a ground plane model that utilizes geometric constraints named GAC3D to improve the results of the deep-based detector. GAC3D adopts an adaptive depth convolution to replace the traditional 2D convolution to deal with the divergent context of the image’s feature, leading to a significant improvement in both training convergence and testing accuracy on the KITTI 3D object detection benchmark. This article presents an alternative architecture named eGAC3D that adopts a revised depth adaptive convolution with variant guidance to improve detection accuracy. Additionally, eGAC3D utilizes the pixel adaptive convolution to leverage the depth map to guide our model for detection heads instead of using an external depth estimator like other methods leading to a significant reduction of time inference. The experimental results on the KITTI benchmark show that our eGAC3D outperforms not only our previous GAC3D but also many existing monocular methods in terms of accuracy and inference time. Moreover, we deployed and optimized the proposed eGAC3D framework on an embedded platform with a low-cost GPU. To the best of the authors’ knowledge, we are the first to develop a monocular 3D detection framework on embedded devices. The experimental results on Jetson Xavier NX demonstrate that our proposed method can achieve nearly real-time performance with appropriate accuracy even with the modest hardware resource.
Study Skills, Writing Strategies and Reading Habits: A Causal Model in Motivation in Learning a Language
Authors: Franca Jovelyn L. , Napil Melissa C.
Published: November 2022

Aims: To determine the best fit model of motivation in learning the Filipino language anong senior high school students.

Study Design: Descriptive-causal design.

Place and Duration of Study: The study was conducted among private high schools located in Davao City during the school year 2021-2022.

Methodology: The respondents were 400 senior high school students from private educational institutions in Davao region, Philippines. The respondents were chosen using stratified random sampling. The data were collected using the online platform.

Results: The overall results showed that the respondents had a high level of study skills, writing strategies, reading habits, and motivation in learning the Filipino language. It also showed a significant relationship between the three variables, the study skills, writing strategies, and reading habits in the motivation in learning the Filipino language. Of the five models, model 5 fits best.

Conclusion: The high level of study skills, writing strategies, reading habits, and motivation in learning the Filipino language, suggests that the students have time management. As a strategy, it suggests that students read different writings by well-known writers to gather good writing methods, ask for help or consult a teacher, friend, or family member so that their writing will be done well. In reading habits, it suggests that students spend time reading different books. Lastly, on motivation, it suggests that students use the Filipino language daily so that they become more fluent. The significant relationship between the three variables means that the three variables are of great help to motivate the students in learning the Filipino language. Model 5 acceptable because all the indices met the set criteria against the obtained model fit value. This study proves that a high level of ability in study skills, writing strategies, and reading habits contributes to the motivation in learning the Filipino language.
Assessment of Elite Genotypes of Linseed (Linum usitatissimum L.) for Genetic Variability, Correlation Studies and Path Coefficient Analysis
Authors: Prameela S. , Lavanya G. Roopa , Ekka J. P. , Saikumar S. Shanmukha
Published: November 2022

An experiment was conducted to assess the induced genetic variability with a view to identify encouraging genotypes for yield and related traits in linseed. Sixteen linseed (Linum usitatissimum L.) genotypes were evaluated in randomized block design in three replications during rabi 2021-2022 for thirteen agro morphological characters to estimate the genetic parameters of variability. Analyses of variance specify presence of wide range of genetic variability among genotypes for all the characters. The higher phenotypic coefficient values than corresponding genotypic coefficient values depicted influence of environment in the expression of characters. Harvest index exhibited highest GCV and PCV (24.284 and 25.232) value while the lowest GCV and PCV was observed for days to maturity (4.998 and 5.757). High rate of PCV and GCV indicates sufficient variability, denotes the effectiveness of the selection of desirable types for development of such traits. The high expected genetic advance expressed as percentage of mean were recorded for final plant stand followed by initial plant stand, harvest index and capsules per plant. High heritability was observed for chlorophyll. Path analysis released, direct and in direct effect. Highest positive direct effect on seed yield per plant was shown plant height (0.371) followed by number of primary branches (0.39), final plant stand (0.245), days to first flowering (0.21) and harvest index (0.114). The obtained results could be used further in breeding programmes.
The clinical utility of newer antidepressant agents: Understanding the role in management of MDD
Authors: Waters Kristin
Published: November 2022

Whereas MDD is characterized in part by changes in mood, other symptoms can also cause significant impairment, including sexual dysfunction, cognitive impairment, and fatigue. Newer antidepressants are explored with the goal of more optimally treating these non–mood-related symptoms of MDD. The 3 oral antidepressants that have been FDA-approved most recently include vortioxetine, vilazodone, and levomilnacipran. Unique features of these antidepressants are explored through 3 patient cases.
Stewardship applied to antipsychotics: Development of an antipsychotic stewardship program in inpatient settings for monitoring and optimizing outcomes
Authors: Gonzales Gillian , Tornes Kari , Saklad Stephen R.
Published: November 2022

Antipsychotic (AP) medications are prescribed for various psychiatric diagnoses that require routine monitoring to ensure optimal use, effectiveness, adherence, and for potentially severe adverse effects. There is currently no comprehensive protocol for institutional supervision of prescribing and monitoring AP. Antibiotics (ABX) are commonly associated with stewardship programs aimed at optimizing use and mitigating harm. These programs have proven to result in positive outcomes in both safety and efficacy parameters for numerous institutions. Given that AP are also associated with significant adverse effects and often misused, the concept of stewardship can be applied to this class of agents to optimize their use and improve overall patient outcomes. The objective of this paper is to provide guidance for the implementation of antipsychotic stewardship programs (APSP) in the inpatient setting. The development of this APSP was designed based on ABX stewardship programs and the Centers for Disease Control and Prevention, Agency for Healthcare Research and Quality, and the American Psychiatric Association practice guidelines on the treatment of patients with schizophrenia. In conclusion, APSPs have the potential to enhance and standardize institutional supervision of prescribing and monitoring practices of AP, leading to improved clinical outcomes and the reduction of adverse effects. APSP teams should be multidisciplinary, consisting of clinicians and administrators, working in conjunction with patients and patient advocates to design individualized recovery plans that consider the individual patient's history and desired outcomes. Monitoring, stewardship interventions, and outcomes should be documented on both an individual and deidentified institutional basis, analyzed, and summarized periodically as measures for quality improvement.
Interaction Analysis between Waves and Caissons by Damping Zone Effect for Installing New Caisson on Old Caisson Breakwater
Authors: Park Min Su , Kim Young Taek , Park Sangki , Min Jiyoung
Published: November 2022

The design and construction are carried out to improve the structural stability of caisson breakwaters by installing new caissons on the front or rear of old caissons. The wave forces acting on caisson are excessively calculated by the resonance of fluid existing between the old caisson and the new caisson in the numerical analysis using potential flow. In this study, we used the damping zone option in ANSYS AQWA program to analyze the wave forces acting on individual caissons according to the interaction effects between the incident wave and the caisson. By applying the damping zone option to the fluid in which resonance occurs, the wave forces acting on individual caissons were calculated by the change of damping factor. In addition, the wave force characteristics acting on individual caissons were analyzed for the different distances between caissons in the frequency domain analysis.
National Dementia Plans of Group of Seven Countries and South Korea Based on International Recommendations
Authors: Seong Su Jeong , Kim Bin Na , Kim Ki Woong
Published: November 2022

This quality improvement study investigates whether national dementia plans in Group of Seven (G7) countries and South Korea conform to the recommendations of the World Health Organization and the Organization for Economic Cooperation and Development.
Degradation of Quinone‐based Flow Battery Electrolytes: Effect of Functional Groups on the Reaction Mechanism**
Authors: Nandi S. , de Sousa L. E. , Vegge T. , de Silva P.
Published: November 2022

Organic redox flow batteries are a promising technology for grid‐scale energy storage from renewable energy resources. However, the chemical instability of the organic electrolytes prohibits wide‐scale commercial implementation as energy storage materials. Therefore, understanding their chemical degradation is essential to develop new and resilient electrolyte materials. In this article, we comparatively studied the chemical degradation pathways of 4,5‐dihydroxybenzene‐1,3‐disulfonic acid (BQDS) and 3,6‐dihydroxy‐2,4‐dimethylbenzenesulfonic acid (DHDMBS) employing potential energy surface exploration. Both the acid‐catalyzed and base‐catalyzed pathways have been considered. Density functional theory was used to compare the energetics of the reaction paths. The role of functional groups was investigated to get insight into why BQDS is prone to degradation and DHDMBS is much more stable. Furthermore, we studied the effect of the functional groups on the correlation of free energy of degradation and the reduction potential of the quinones.
Developmental toxicity induced by brodifacoum in zebrafish (Danio rerio) early life stages
Authors: Wu Yuanzhao , Ye Xinyu , Jiang Linyi , Wang Anli , Wang Jiye , Yao Weixuan , Qin Yazhou , Wang Binjie
Published: November 2022

Objectives

The present study mainly focused on the assessment of developmental toxicity induced by exposure to brodifacoum (BDF) in zebrafish at early life stages.

Material and Methods

Zebrafish embryos were exposed to 0.2, 0.4, and 0.8 mg/L of BDF from 6 to 96 hr post‐fertilization (hpf), and the toxic effects of BDF on early embryonic development were investigated in terms of morphological changes, oxidative stress, and alterations in heart development‐related genes.

Results

The experimental results showed that BDF significantly decreased the heart rate, survival rate, body length, and spontaneous movements of zebrafish embryos at 0.8 mg/L, and the morphological developmental abnormalities were also observed at 96 hpf. In addition, exposure to BDF significantly increased oxidative stress levels in zebrafish embryos by increasing the enzymatic activities of catalase (CAT), superoxide dismutase (SOD), and malondialdehyde (MDA) levels, and decreased glutathione (GSH) levels. Furthermore, BDF treatment‐induced alterations in the expression levels of the heart development‐related genes (gata4, sox9b, tbx2b, and nppa).

Conclusion

Results from this study indicated that exposure to BDF could lead to marked growth inhibition and significantly alter the activities of antioxidant enzymes in zebrafish embryos. Moreover, BDF exposure exhibited severe cardiotoxicity and significantly disrupted heart development‐related genes. The results indicated that BDF could induce developmental and cardiac toxicity in zebrafish embryos.
Establishment of a gastric cancer cell line with high microsatellite instability, OCUM‐13, derived from Borrmann type‐2 primary tumor
Authors: Yamamoto Yurie , Masuda Go , Kushiyama Shuhei , Maruo Koji , Tsujio Gen , Sera Tomohiro , Sugimoto Atsushi , Nishimura Sadaaki , Kuroda Kenji , Togano Shingo , Okuno Tomohisa , Ohira Masaichi , Yashiro Masakazu
Published: November 2022

Gastric cancer (GC) with microsatellite instability (MSI) has been reported to be sensitive to immunotherapy, however some of GC cases with MSI remain resistant to immunotherapy. Cancer cell lines showing MSI might be useful for the analysis of mechanisms of immunotherapy, while only a few GC cell lines with MSI are available so far. In this study, we established a unique GC cell line with MSI, OCUM‐13, from a primary GC with abundant tumor‐infiltrating lymphocytes. MSI assay indicated that OCUM‐13 cells as well as the primary tumor showed a band shift in more than 3 of 5 microsatellite loci, suggesting that OCUM‐13 did have high MSI. The subcutaneous inoculation of OCUM‐13 cells into mice performed tumor formation. Insulin‐like growth factor 1 receptor inhibitor decreased the growth of OCUM‐13 cells. The newly established cell line with MSI, OCUM‐13, might be useful for the analysis of cancer therapy for GC with MSI.
Three versus 12‐month dual antiplatelet therapy duration in patients with acute coronary syndrome undergoing percutaneous coronary intervention: A meta‐analysis of randomized controlled trials
Authors: Selvaraj Vijairam , Chatterjee Saurav , Hirai Taishi , Abbott J. Dawn , Bavishi Chirag
Published: November 2022

Introduction

The American Heart Association/American College of Cardiology guidelines on dual antiplatelet therapy (DAPT) recommend at least 12 months of a P2Y12 inhibitor and low dose aspirin in patients with an acute coronary syndrome (ACS) treated with a stent. Since that recommendation, several randomized controlled trials (RCTs) have studied an abbreviated duration of DAPT in ACS. Therefore, we sought to perform a meta‐analysis of RCTs comparing 3‐ versus 12‐month DAPT in patients presenting with ACS undergoing percutaneous coronary intervention (PCI).

Methods

PubMed, Embase, and Cochrane Central databases were searched until July 31, 2022, for RCTs comparing 3‐ versus 12‐month DAPT in patients with ACS undergoing PCI. Outcomes assessed were major adverse cardiovascular events (MACE), cardiovascular mortality, all‐cause mortality, myocardial infarction (MI), stent thrombosis (ST) and bleeding. A random‐effects model was used to calculate pooled relative risk (RR) and 95% confidence intervals (CI).

Results

We included 5 trials comprising 16,781 patients with an ACS that underwent PCI. There was no significant difference in MACE (RR: 0.92; 95% CI: 0.76–1.11), cardiovascular mortality (RR: 1.26; 95% CI: 0.38–4.17), or all‐cause mortality (RR: 0.92; 95% CI: 0.48–1.77) between the 2 groups. In addition, there was no difference in rates of MI (RR: 0.98; 95% CI: 0.74–1.30), or ST (RR: 1.30; 95% CI: 0.55–3.05) between 3‐ and 12‐month DAPT. However, compared with 12‐month DAPT, 3‐month DAPT significantly reduced risk of major bleeding (RR: 0.53; 95% CI: 0.43–0.64).

Conclusions

In patients with ACS undergoing PCI, 3‐month DAPT reduced risk of bleeding without evidence of harm.
Metal‐Ligand Cooperativity in MnI‐Catalysed N‐Formylation of Secondary Amides and Lactams Using CO2 at Room Temperature
Authors: Chakraborty Soumi , Nath Rounak , Kumar Ray Anuj , Paul Ankan , Mandal Swadhin K.
Published: November 2022

A MnI catalyst featuring redox‐active tridentate phenalenyl (PLY) ligand has been used for catalytic N‐formylation of secondary amides and lactams under 1 atm CO2 as a C1 source at room temperature for the first time. The protocol is applicable to a wide range of secondary amides including heterocycles, bio‐active cinnamide derivatives and the diversification of therapeutic molecules. In‐depth mechanistic investigations based on experimental outcomes and DFT calculations suggested an unconventional metal‐ligand cooperation, where a ligand‐centred radical plays a crucial role in initiating the reaction process.
Comparative study on inhibitory performance of an ionic liquid on corrosion of 6061 Al‐10(vol.%) SiC(P) composite material and base alloy
Authors: Kedimar Namitha , Rao Padmalatha , Rao Suma A.
Published: November 2022

Inhibitive performance of 1,3 dimethyl imidazolium dimethyl phosphate (DIDP) towards the corrosion of 6061‐Al (10 vol.%) SiC(P) composite (Al‐CM) and base alloy in 0.1 M HCl medium was studied using electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization techniques at different temperatures. Optimization of inhibitor concentration was done to get maximum inhibition efficiency. Thermodynamic parameters were calculated by fitting the results into a suitable adsorption isotherm. Scanning electron microscope (SEM), energy‐dispersive X‐ray (EDX), and atomic force microscope (AFM) analyses were performed to understand surface morphology, elemental mapping, and surface roughness before and after the addition of DIDP. UV–visible and X‐ray diffraction (XRD) tests were performed to confirm the adsorption of inhibitor on the surfaces of materials. Studies revealed an increased rate of corrosion for Al‐CM than for the base alloy. The maximum inhibition efficiency for the base alloy was found to be 80.48% for the addition of 1000 ppm, and for Al‐CM, it was found to be 87.38% for the addition of 1400 ppm at 303 K. As the temperature increased, the inhibition efficiency decreased. The inhibitor was adsorbed physically on the surface of the metal by obeying the Freundlich adsorption isotherm. Surface studies confirmed the adsorption of DIDP on the surfaces of both Al‐CM and the base alloy.
Mobility prediction for uneven distribution of bikes in bike sharing systems
Authors: Shir Bhargav , Prakash Verma Jai , Bhattacharya Pronaya
Published: November 2022

User mobility represents the movement of either individual or group. In smart cities, detection and prediction of mobility patterns are required for numerous applications like resource distribution, traffic management, and user behavioral analysis. With the increase in the number of smart vehicles, urban mobility detection and prediction have become a critical problem for study. Bike‐sharing ecosystems (BSS) form an integral part of such ecosystems, as it supports the green revolution, ease of access, and solves traffic problems. However, recent schemes have suggested that BSS are challenged by issues of high density, mobility complexity of bikes (stations), large commute cost, uneven distribution, and route imbalances. To address the critical issues, the article proposes a hybrid scheme that combines rebalancing using clustering that addresses the mobility complexity. Once rebalancing is done, we address the uneven distribution among clusters using prediction models. This article is presented a comparative analysis of algorithms like fuzzy C‐means clustering, linear regression, decision tree, and random forest classifiers for predictive analysis performed on weather data and nonweather data. The presented results indicate the viability of the proposed model in real‐world scenarios.
An electric vehicle integrated battery charger with high utilization rate of the three‐phase open‐winding permanent‐magnet‐synchronous‐motor
Authors: Lei Yanxiong , Du Guiping , Li Tuhuan , Yang Zijiang
Published: November 2022

This paper proposes an integrated battery charger for electrical vehicles (EVs) employing a three‐phase open‐winding permanent magnet synchronous motor (3p OW‐PMSM), which can be simply modified from a typical star‐connected PMSM. It reutilizes the existing propulsion components to achieve fast charging and vehicle to grid (V2G) operations. Only one nonintegrated inductor is added to realize torque cancelation so that no rotation or vibration is generated. In the fast‐charging and the V2G modes, the current flowing through the inductor is half of one phase grid current, namely, one in six of the total grid currents. The rest five in six of the grid currents flow through the stator windings of the motor. Hence, the proposed integrated system has a high utilization rate of the motor and possesses high power density. In addition, an individual inner current controller for each leg of the AC‐DC converter is employed to ensure the unity power factor, low current harmonics, and torque elimination. In the motor‐drive mode, the equivalent circuit is consistent with the conventional 3p star‐connected motor driver. Therefore, it does not increase the complexity of the motor‐drive control strategy. Finally, simulation and experimental results for fast‐charging, V2G, and propulsion operations verify the feasibility of the proposed scheme.
Desalination using solar stills: A review
Authors: Shelake Amit , Kumbhar Dnyaneshwar , Sutar Kailasnath
Published: November 2022

Purified drinking water is the basic need of human beings. Purification of water assisted by freely available solar energy can be the best alternative compared with other water purification techniques available in the market today which consume nonrenewable energy. Distillation, which is the most ancient method, is being used for water purification. The device in which solar thermal energy converts brackish water into pure drinkable form is known as a solar still. Present article reports an extensive study of numerous designs of solar stills. The article also includes a review of effect of each parameter that influences the water productivity that is, pure water. Considerations of thermodynamics, heat transfer, and mass transfer are also explained in brief. The reviews of various kinds of analysis namely, theoretical, experimental, computational, cost, and water quality have been reported.
CropBooster‐P: Towards a roadmap for plant research to future‐proof crops in Europe
Authors: Baekelandt Alexandra , Saltenis Vandasue L. R. , Pribil Mathias , Nacry Philippe , Harbinson Jeremy , Rolland Norbert , Wilhelm Ralf , Davies Jessica , Inzé Dirk , Parry Martin A. J. , Klein Lankhorst René
Published: November 2022

The world needs more than double its current agricultural productivity by 2050 to produce enough food and feed, as well as to provide feedstock for the bioeconomy. These future increases will not only need to be sustainable but without comprommising the nutritional quality, and ideally also need to decrease greenhouse gas emissions and increase carbon sequestration to help mitigate the consequences of global climate change. These challenges could be tackled by developing and integrating new future‐proof crops into our food system. The H2020 CropBooster‐P project sets out plant‐centered breeding approaches guided by a broad socio‐economic and societal support. First, the potential approaches for breeding crops with sustainably increased yields adapted to the future climate of Europe are identified. These crop‐breeding options are subsequently prioritized and their adoption considered by experts across the agri‐food system and the wider public, taking into account environmental, economic and other technical criteria. In this way, a specific research agenda to future‐proof our crops was developed, supported by an eventual implementation plan.
What can COVID‐19 pandemic reveal about public purpose of a University? A case study
Authors: Mohebali Milad
Published: November 2022

This case study examines institutional communication of purpose to stakeholders through Facebook during the COVID‐19 pandemic. The findings show that the institution attempted to reduce the negative impacts of the pandemic on campus life and student experiences while using the pandemic as an opportunity to re‐iterate the importance of its scientific knowledge production, training of professionals, and service to communities. In doing so, it established relationships with multiple publics at a time of crisis, but has run the risk of further losing public trust in science and university as the COVID‐19 pandemic has persisted.
A scoping review on the relationship between race/ethnicity and the receipt of supportive care medications during cancer treatment: Implications for the clinical pharmacist
Authors: Awunti MegCholack , DeRemer David L. , Rogers Sherise , Scarton Lisa , Adkins Lauren , WIlkie Diana J. , Allen John M.
Published: November 2022

There is surmounting levels of evidence on the health disparities within cancer treatment in the United States (US). Most of the research focused on cancer specific factors including anticancer incidence, screening, treatment and follow‐up, and clinical outcomes such as overall survival (OS). Less is known about the disparities present with supportive care medication use in cancer patients. Supportive care utilization during cancer treatment has been linked to improved quality of life (QoL) and OS among patients. The goal of this scoping review is to summarize findings of current literature on the relationship between race and ethnicity and the receipt of supportive care medications during cancer treatment for pain and chemotherapy‐induced nausea and vomiting (CINV). This scoping review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis (PRISMA‐ScR) guidelines. Our literature search included quantitative studies, qualitative studies, and grey literature written in the English language with clinically relevant outcomes pertaining to pain and CINV management in cancer treatment published from 2001 to 2021. Articles that met the predefined inclusion criteria were considered for inclusion in the analysis. The initial search yielded 308 studies. Following deduplication and screening, 14 studies met the predefined inclusion criteria, with majority of the studies being quantitative studies (n = 13). Collectively, results were mixed results regarding the presence of racial disparities for supportive care medication use. Half of the studies (n = 7) supported this finding whereas, the other half (n = 7) did not identify any racial disparities. In our review, multiple studies illustrate the existence of disparities in the use of supportive care medications in some cancer types. Clinical pharmacists should strive to eliminate supportive medication use disparities as part of a multidisciplinary team. In order to develop strategies to prevent supportive care medication use disparities in this population, further research and analysis of external factors that influence them are needed.
What compliance commitments tell us about U.S. banks?
Authors: Semenenko Igor
Published: November 2022

This paper examines three levels of regulation and compliance imposed by the Federal Reserve, the Securities and Exchange Commission (SEC), and stock exchanges, on risk profile of banking institutions in the United States. SEC‐registered and exchanged‐listed bank holding companies have more concentrated and lower quality loan portfolios; they grow faster through acquisitions and are more likely to execute M&A exit strategy themselves. Also, bank holding companies that commit to higher levels of compliance are better capitalized but have lower return on equity capital. Lower profitability is partially compensated with higher payout ratio, suggesting that regulatory frameworks to some extent ameliorate agency issues.

Multi‐tiered regulation of banking institutions yields a separating equilibrium, in which banks choose level of compliance to match their business strategies. Three‐tiered regulatory framework enables market segmentation and matching of capital providers with desired risk profile. Switch to higher levels of compliance is accompanied by risk profile increase without a better risk‐return tradeoff, suggesting managerial agency cost explanation. SEC‐compliant banks are likely to migrate to exchanges or downshift to FDIC disclosure only. Both SEC and exchange‐listed banks are likely to execute growth‐by‐acquisitions but listed bank holding companies are only marginally more likely to default, suggesting more efficient risk‐taking or reliance on government support when market conditions decline. SEC compliance is the most volatile of three disclosure regimes.

My study does not conclude that excessive regulation yields negative effects. It does not address assessment of changes in systematic risk and externalities focusing instead on firm‐level effects. Finally, it suggests the need to regulate the market for corporate control, which appears to be one major risk‐taking transmission mechanism in the US private banking market.
The performance of ANI‐ML potentials for ligand‐n(H2O) interaction energies and estimation of hydration free energies from end‐point MD simulations
Authors: Temel Mütesir , Tayfuroglu Omer , Kocak Abdulkadir
Published: November 2022

Here, we investigate the performance of “Accurate NeurAl networK engINe for Molecular Energies” (ANI), trained on small organic compounds, on bulk systems including non‐covalent interactions and applicability to estimate solvation (hydration) free energies using the interaction between the ligand and explicit solvent (water) from single‐step MD simulations. The method is adopted from ANI using the Atomic Simulation Environment (ASE) and predicts the non‐covalent interaction energies at the accuracy of wb97x/6‐31G(d) level by a simple linear scaling for the conformations sampled by molecular dynamics (MD) simulations of ligand‐n(H2O) systems. For the first time, we test ANI potentials' abilities to reproduce solvation free energies using linear interaction energy (LIE) formulism by modifying the original LIE equation. Our results on ~250 different complexes show that the method can be accurate and have a correlation of R2 = 0.88–0.89 (MAE <1.0 kcal/mol) to the experimental solvation free energies, outperforming current end‐state methods. Moreover, it is competitive to other conventional free energy methods such as FEP and BAR with 15‐20 × fold reduced computational cost.
Female income generation and intimate partner violence: Evidence from a representative survey in Turkey
Authors: Kibris Arzu , Nelson Phillip
Published: November 2022

Economic empowerment of women is a central strategy to foster economic growth and reduce gendered discrimination. However, it is not yet certain whether the positive impacts extend into domestic violence as theoretical and empirical evidence indicate the possibility of unintentional adverse consequences. We present and analyse new survey data from Turkey. Our results indicate higher risk of intimate partner violence for income‐earning women and point to forced rent extraction by male partners as the mechanism. Organizations promoting such empowerment in development contexts should be aware of these potential negative consequences and should plan for steps to mitigate them.
Patients With “Gray Zone” PSA Levels: Application of Prostate MRI and MRS in the Diagnosis of Prostate Cancer
Authors: Li Xue , Li Chunmei , Chen Min
Published: November 2022

Improving the detection rates of prostate cancer (PCa) and avoiding unnecessary prostate biopsies in men with prostate‐specific antigen (PSA) levels within the gray zone require urgent attention. In this context, rapid advances in MR technology in recent years may offer a promising possibility. A systematic review to evaluate the applications of magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) in detecting PCa and clinically significant PCa (csPCa) in men with PSA levels within the gray zone. The study type is defined as systematic review. In July 2022, out of 229 studies identified by the database search and from other sources, 23 articles related to the selected topic of interest were included in this review. No field strength or sequence restrictions. The data including the study population, study characteristics, as well as basic MRI characteristics, from the final studies included in this review, were extracted independently by two reviewers. The major results of the original study were summarized and no additional statistical analysis was performed. Among the 23 studies included in this review, 17 focused on the applications of MRS and MRI for the prebiopsy diagnosis of PCa. Nine of these 17 articles used Prostate Imaging Reporting and Data System (PI‐RADS) score to interpret MRI results, thereby confirming the practicality of the PI‐RADS score in predicting PCa and csPCa. The remaining six articles evaluated the applications of MRI and MRS in guiding prostate biopsy. Although there was a variation in the biopsy modalities used in these studies, both MRI‐ and MRS‐guided prostate biopsies were observed to improve the detection rates of PCa and csPCa in patients with PSA levels within the gray zone. MRS and MRI showed good performance in the detection of PCa and csPCa before biopsy. In addition, MRS‐ or MRI‐guided prostate‐targeted biopsies were able to improve the detection rates of PCa and csPCa.

Evidence Level

3

Technical Efficacy

Stage 2