bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparation of bichar/layered double hydroxide@alginate aerogel as a highly efficient adsorbent for Cu2+ and Cd2+
Authors: Liang Qianyong , Pan Ying , Zhang Dong , Lü Ting , Zhao Hongting , Zhang Yan 
Published: November 2022

AbstractCalcium cross‐linked layered double hydroxide‐bichar/alginate aerogel (LBCA) was synthesized by ultrasonic‐assisted hydrothermal and freeze‐drying method. The Mg‐Al layered double hydroxide (LDH) was successfully loaded on the bichar (BC) and the LDH‐BC was dispersed uniformly in the calcium alginate aerogel, which was confirmed by X‐Ray Diffraction, scanning electron microscopy and BET tests. The obtained LBCA was applied to remove the Cu2+ and Cd2+ in the aqueous solution. As compared with LDH nanosheets, removal rates of LBCA aerogel on Cu2+ and Cd2+ were ranged from 59% to 94% and 45% to 86%, respectively. The adsorption kinetic data accorded with the pseudo second‐order kinetic equation, and the isotherm data were in good agreement with the Langmuir model. Moreover, LBCA aerogel showed good regeneration ability, and raw materials for the fabrication of LBCA aerogel are abundant and low price.
Copper‐mediated oxidation of imidazopyrazinones inhibits marine luciferase activity
Authors: O'Sullivan Justin J. , Lee Vanessa J. , Heffern Marie C. 
Published: November 2022

AbstractThe development of bioluminescence‐based tools has seen steady growth in the field of chemical biology over the past few decades ranging in uses from reporter genes to assay development and targeted imaging. More recently, coelenterazine‐utilizing luciferases such as Gaussia, Renilla, and the engineered nano‐luciferases have been utilized due to their intense luminescence relative to firefly luciferin/luciferase. The emerging importance of these systems warrants investigations into the components that affect their light production. Previous work has reported that one marine luciferase, Gaussia, is potently inhibited by copper salt. The mechanism for inhibition was not elucidated but was hypothesized to occur via binding to the enzyme. In this study, we provide the first report of a group of nonhomologous marine luciferases also exhibiting marked decreases in light emission in the presence of copper (II). We investigate the mechanism of action behind this inhibition and demonstrate that the observed copper inhibition does not stem from a luciferase interaction but rather the chemical oxidation of imidazopyrazinone luciferins generating inert, dehydrated luciferins.
Clinical outcomes and cognitive impairments between progressive supranuclear palsy and multiple system atrophy
Authors: Jia Peifei , Zhang Jinhong , Han Jiuyan , Ji Yong 
Published: November 2022

AbstractBackgroundBoth progressive supranuclear palsy (PSP) and multiple system atrophy (MSA) belong to atypical parkinsonian syndromes. It is important to differentiate these diseases accurately. We compared clinical outcomes and cognitive impairments between PSP and MSA.MethodsEighty‐five MSA parkinsonism type (MSA‐P) patients and 76 PSP patients participated in this research. The Montreal Cognitive Assessment (MoCA) and the mini‐mental state examination (MMSE) evaluated cognitive function.ResultsMSA‐P patients had a significantly higher incidence of dyskinesia, fall, urinary symptoms, and constipation, whereas patients with PSP had a higher incidence of tremor and salivation. MSA‐P patients had higher MMSE and MoCA scores than PSP patients. The MMSE score showed a diagnostic cut‐off score of 24.5 in PSP versus MSA‐P. The MoCA score showed a diagnostic cut‐off score of 20.5 in PSP versus MSA‐P.ConclusionIn conclusion, patients with PSP had differences in the clinical outcomes and cognitive impairments compared with MSA‐P patients. PSP patients had more severe cognitive deficits. The score of MMSE and MoCA could be used in distinguishing MSA‐P from PSP.
Adopting blockchain technology to enhance green supply chain integration: The moderating role of organizational culture
Authors: Long Yunguang , Feng Taiwen , Fan Youqing , Liu Lijun 
Published: November 2022

AbstractAs a cutting‐edge technology with characteristics of transparency, traceability, decentralization, and immutability, blockchain technology (BCT) has been thought as an effective method of enhancing green supply chain integration (GSCI). However, the mechanism of how BCT affects GSCI is still blurred. Based on transaction cost theory and resource dependence theory, this research explores the mediating effect of supply chain trust in the relationship between BCT adoption and GSCI and the moderating role of organizational culture. We examine hypotheses using two waves of survey data from 317 Chinese manufacturers. The results reveal that BCT has a positive effect on supply chain trust, and supply chain trust partially mediates the impacts of BCT on three dimensions of GSCI. Moreover, a flexible‐oriented culture alleviates the impact of BCT on supply chain trust, whereas a control‐oriented culture strengthens the relationship. This research unfolds the “black box” in the BCT–GSCI relationship by exploring the mediating role of supply chain trust, and it is seldom a study that simultaneously combines information management area (BCT), operation management area (GSCI), and organizational behavior area (organizational culture) in a framework.
Factors that influence treatment decisions: A qualitative study of racially and ethnically diverse patients with low‐ and very‐low risk prostate cancer
Authors: Guan Alice , Shim Janet K. , Allen Laura , Kuo Mei‐Chin , Lau Kathie , Loya Zinnia , Brooks James D. , Carroll Peter R. , Cheng Iona , Chung Benjamin I. , DeRouen Mindy C. , Frosch Dominic L. , Golden Todd , Leppert John T. , Lichtensztajn Daphne Y. , Lu Qian , Oh Debora L. , Sieh Weiva , Wadhwa Michelle , Gomez Scarlett L. , Shariff‐Marco Salma 
Published: November 2022

AbstractBackgroundFactors that influence prostate cancer treatment decisions are complex, multifaceted, and personal, and may vary by race/ethnicity. Although research has been published to quantify factors involved in decision‐making, these studies have been limited to primarily white, and to a lesser extent, Black patients, and quantitative studies are limited for discerning the cultural and contextual processes that shape decision‐making.MethodsWe conducted 43 semi‐structured interviews with a racially and ethnically diverse sample of patients diagnosed with low‐ and very‐low risk prostate cancer who had undergone treatment for their prostate cancer. Interviews were transcribed, independently coded, and analyzed to identify themes salient for decision‐making, with attention to sociocultural differences.ResultsWe found racial and ethnic differences in three areas. First, we found differences in how socialized masculinity influenced patient's feelings about different treatment options. Second, we found that for some men, religion and spirituality alleviated anxiety associated with the active surveillance protocol. Finally, for racially and ethnically minoritized patients, we found descriptions of how historic and social experiences within the healthcare system influenced decision‐making.ConclusionsOur study adds to the current literature by expounding on racial and ethnic differences in the multidimensional, nuanced factors related to decision‐making. Our findings suggest that factors associated with prostate cancer decision‐making can manifest differently across racial and ethnic groups, and provide some guidance for future research.
Impact of the COVID‐19 pandemic on breast, colorectal, lung, and prostate cancer stage at diagnosis according to race
Authors: Berrian Jennifer , Liu Ying , Ezenwajiaku Nkiruka , Moreno‐Aspitia Alvaro , Holton Sara J. , Toriola Adetunji T. , Colditz Graham A. , Housten Ashley J. , Hall Lannis , Fiala Mark A. , Ademuyiwa Foluso O. 
Published: November 2022

AbstractPurposeTo determine if the COVID‐19 pandemic has further exacerbated racial disparities in late‐stage presentation of breast, colorectal, lung, and prostate cancers.MethodsWe conducted a registry‐based retrospective study of patients with newly reported diagnoses of breast, colorectal, lung, and prostate cancers between March 2019–June 2019 (pre‐COVID‐19) and March 2020–June 2020 (early‐COVID‐19). We compared the volume of new diagnoses and stage at presentation according to race between both periods.ResultsDuring the study period, a total of 3528 patients had newly diagnosed cancer; 3304 of which had known disease stages and were included in the formal analyses. 467 (14.1%) were Blacks, and 2743 were (83%) Whites. 1216 (36.8%) had breast, 415 (12.6%) had colorectal, 827 (25%) had lung, and 846 (25.6%) had prostate cancers, respectively. The pre‐COVID‐19 period included 2120 (64.2%), and the early‐COVID‐19 period included 1184 (35.8%), representing a proportional 44.2% decline in the volume of new cases of breast, colorectal, lung, and prostate cancers, p < 0.0001. Pre‐COVID‐19, 16.8% were diagnosed with metastatic disease, versus 20.4% early‐COVID‐19, representing a proportional increase of 21.4% in the numbers of new cases with metastatic disease, p = 0.01. There was a non‐significant proportional decline of 1.9% in Black patients diagnosed with non‐metastatic breast, colorectal, lung, and prostate cancers early‐COVID‐19 (p = 0.71) and a non‐significant proportional increase of 7% in Black patients diagnosed with metastatic disease (p = 0.71). Difference‐in‐difference analyses showed no statistically significant differences in metastatic presentation comparing Black to White patients.ConclusionWhile we identified substantial reductions in the volume of new cancer diagnoses and increases in metastatic presentations due to the COVID‐19 pandemic, the impact was similar for White and Black patients.
Share best practices, free resources to keep students safe while using rideshare apps
Authors: Sutton Halley 
Published: November 2022

LAS VEGAS — In March 2019, Samantha Josephson, a 21‐year‐old senior at the University of South Carolina, was murdered when she mistakenly entered a car that she believed was the Uber she'd called. The driver used childproof locks to entrap Josephson in the car before he murdered her. The murder gained national traction and attention and led to the passage of Sami's Law in New Jersey, which requires ridesharing company drivers to display two illuminated signs on their car, and have a scannable QR code, to ensure rider safety. Legislation at the federal level has been pending since 2020. (A note: The legislation is not related to the work of the #WhatsMyName foundation.)
Digital literacy and green consumption behavior: Exploring dual psychological mechanisms
Authors: Hu Xiaojuan , Meng Hu 
Published: November 2022

AbstractGreen consumption has been developing into a booming trend due to alarming environmental problems. This study examines the relationship between the consumers' digital literacy and green consumption behavior and explores two different mechanisms based on social cognitive theory and self‐regulatory theory. The cognition‐based mechanism includes self‐efficacy and outcome expectation; the affect‐based mechanism includes anticipated pride and anticipated guilt. In addition, we investigate how green product availability moderates the relationships between four mediators and green consumption behavior. Across two studies, the results indicate that the consumers' digital literacy influences green consumption behavior through self‐efficacy, outcome expectation, anticipated pride, and anticipated guilt. Moreover, green product availability boosts the effects of self‐efficacy and anticipated pride on green consumption behavior. Our research has theoretical contributions to understanding the formation of green consumption behavior. It also provides practical implications for how to effectively guide and promote green consumption behavior.
Bacterially Secretable Single‐Chain Tandem Macrocyclic Peptides for High Affinity and Inhibitory Activity
Authors: Ito Kenichiro , Matsuda Yoshihiko , Mine Ayako , Miyairi Kyohei , Kikuchi Yoshimi , Konishi Atsushi 
Published: November 2022

AbstractThe inhibition of protein‐protein interactions (PPIs) is an effective approach for therapy. Owing to their large binding surface areas to target proteins, macrocyclic peptides are suitable molecules for PPI inhibition. In this study, we developed single‐chain tandem macrocyclic peptides (STaMPtides) that inhibits the vascular endothelial growth factor (VEGF) receptor 2 (VEGFR2). They were artificially designed to comprise two different VEGFR2‐binding macrocyclic peptides linked in tandem by peptide linkers and secreted by Corynebacterium glutamicum. Most potent VEGFR2‐inhibitory STaMPtides with length‐optimized linkers exhibited >1000 times stronger inhibitory activity than their parental monomeric peptides, possibly due to the avidity effect of heterodimerization. Our approach of using STaMPtides for PPI inhibition may be used to inhibit other extracellular factors, such as growth factors and cytokines.
Wheat gluten: A functional protein still challenging to replace in gluten‐free cereal‐based foods
Authors: Gasparre Nicola , Rosell Cristina M. 
Published: November 2022

AbstractBackground and ObjectivesWheat gluten in cereal‐based products has unique functionality derived from its viscoelastic properties. Nevertheless, many food applications require its replacement to obtain gluten‐free foods but keeping similar quality characteristics. This review analyzes the distinctive characteristics of wheat gluten, and the technological strategies implemented to mimic its behavior within the gluten‐free systems.FindingsThe viscoelastic behavior of wheat gluten is due to the interplay of glutenins and gliadins after being hydrated and subjected to mechanical stress. Disulfide bonds and noncovalent interactions are key in holding its structure and explaining its solubility and hydrophobicity. Gluten‐free flours and starches have represented the first adopted strategies for gluten replacement, but results have not been completely satisfactory. To tackle this issue, non‐wheat protein addition, physical treatments, hydrocolloids, enzymes, and emulsifiers have allowed recreation of a pseudo gluten network of the cereal‐based foods.ConclusionsDespite technological sensorial achievements, a gap still exists when gluten‐free products are compared with their wheat‐based counterparts. A better comprehension about the combined actions of different processing aids and technologies could offer future answers.Significance and NoveltyThe review points out the main characteristics of the wheat gluten uniqueness, shedding light on its replacement strategies to guide future research.
Grain and flour characteristics of eastern U.S. soft winter wheat desirable for making soft‐bite white salted noodles
Authors: Ma Fengyun , Baik Byung‐Kee 
Published: November 2022

AbstractBackground And ObjectivesThe genetic backgrounds and growing conditions of eastern U.S. soft winter (ESW) wheat vary widely and thus produce grains of diverse quality characteristics, which encompass those required for making soft‐bite white salted noodles (WSN). However, these characteristics have yet to be identified and cataloged. The grain and flour characteristics and WSN making quality of 25 ESW wheat varieties and four commercial noodle flours (CNFs) were analyzed to identify grain and flour characteristics desirable for making WSN.FindingsKernel hardness, protein content, and gluten strength‐related parameters of ESW wheat were significantly associated with WSN cooking and textural properties, while damaged starch content was the major determinant of WSN adhesiveness. A total of 9 out of 25 ESW wheat flours exhibited protein characteristics, WSN color and textural properties that closely matched to those of CNFs.ConclusionsESW wheat varieties with kernel hardness of 16.0–45.4, damaged starch content of 1.9%–4.4%, flour protein content of 8.6%–10.2%, sodium dodecyl sulfate sedimentation volume of 30.4–41.6 ml and lactic acid solvent retention capacity of 115.6%–142.7% were identified to produce WSN of comparable quality to those of CNFs.
Determinants of survival outcomes among esophageal cancer patients at a national referral hospital in Kenya
Authors: Degu Amsalu , Karimi Peter N. , Opanga Sylvia A. , Nyamu David G. 
Published: November 2022

AbstractIntroductionThe overall 5‐year survival rate for esophageal cancer patients in low‐ and middle‐income countries was reported to be low, despite the availability of advanced treatments. Thus, this study aimed to assess determinants of survival outcomes among esophageal cancer patients in Kenya.MethodsA retrospective cohort study was employed among 299 adult esophageal cancer patients. The data were collected using a data abstraction tool consisting of patients’ clinical characteristics and survival outcome measuring parameters. Statistical Package for the Social Sciences (SPSS) statistical software (version 20.0, IBM. USA) was used to analyze the data. The Kaplan–Meier and Cox regression analyses were used to determine the survival outcome and determinants of mortality, respectively.ResultsThe mortality rate was 43.1%, and 11.1% of patients demonstrated distant metastases in the follow‐up period. Despite treatment, 20.1% had progressed disease, and 13.0% did not respond to treatment. Radiotherapy (AHR: 3.3, 95% CI: 1.4−7.8, p = 0.007), chemotherapy (AHR: 3.9, 95% CI: 1.2−6.1, p = 0.020), and chemoradiation (AHR: 5.6, 95%CI: 1.6−10.2, p = 0.006) were the significant determinants of survival in advanced stage (III and and IV) patients.ConclusionsThere was a high mortality rate, disease progression, and nonresponse of esophageal cancer patients. Hence, it is essential to improve the survival of patients through early detection and timely initiation of the available treatment options.
Chloride‐Free Electrolytes for High‐Voltage Magnesium Metal Batteries: Challenges, Strategies, and Perspectives
Authors: Zhao Wanyu , Liu Yuan , Zhao Xiaoli , Pan Zhenghui , Chen Jianping , Zheng Songhe , Qu Lingli , Yang Xiaowei 
Published: November 2022

AbstractThe demand for high‐energy‐density and safe energy storage devices has spurred increasing interest in high‐voltage rechargeable magnesium batteries (RMB). As electrolytes are the bridge connecting the cathode and anode materials, the development of high‐voltage electrolytes is the key factor in realizing high‐voltage RMBs. This concept presents an overview of three chloride‐free electrolyte systems with wide electrochemical windows, together with the degradation mechanisms and modification strategies at the anode/electrolyte interphase. Finally, future directions in stabilizing Mg anodes and realizing high‐voltage RMBs are highlighted.
Performance prediction of parallel applications using artificial neuronal network and graph representation
Authors: Chokri Soumia , Baroud Sohaib , Belhaous Safa , Youssfi Mohamed , Mestari Mohammed 
Published: November 2022

SummaryModeling and predicting the performance of HPC applications is exceedingly important for several purposes. These incorporate scheduling and managing tasks, understanding application behavior, and estimating resource requirements. Many issues impact the performance of parallel applications, including data decomposition, load balancing, and inter processors communication. Predicting the performance of parallelism accurately is a challenging task, especially since it depends on several hardware and software parameters that are difficult to identify. The graph representation is an efficient way to model a parallel application. Based on this representation, this study purports to predict the optimal number of partitions (processors) to run efficiently a parallel application on multi‐core architectures using an artificial neural network. The numerical simulation applications are modeled as a graph of tasks and their associated data. Using the characteristics of the graphs as inputs of the ANN model, we obtained satisfactory results with an accuracy of 91% for the optimal number of processors and 93% for the maximum speedup.
Energy and spectral efficiency improvement using improved shark smell‐coyote optimization for massive MIMO system
Authors: Byreddy Amarender Reddy , Logashanmugam E. 
Published: November 2022

SummaryMassive multiple‐input multiple‐output (MIMO) can considerably enhance the “spectral efficiency and energy efficiency” since it is a major technique for future wireless networks. Thus, the performance needs a huge count of base station antennas to serve a smaller number of terminals in conventional MIMO methodology. Large‐scale radio frequency (RF) chains represent the large‐scale antennas. There is a need of implementing an effective massive MIMO system for maximizing the efficient performance of the system with high “spectral efficiency and energy efficiency” owing to the high cost of RF chains, and the higher power consumption. In this paper, a massive MIMO communication system is implemented to satisfy the requirements regarding “energy efficiency and spectral efficiency.” Here, the number of base station antennas, the transmit power, and beam forming vectors are optimized to maximize “energy efficiency and spectral efficiency” when the channel capacity is known to be higher than some threshold values. The novelty of this work is a new hybrid optimization adaptive shark smell‐coyote optimization (ASS‐CO) algorithm is developed for improving energy efficiency. The optimization is done with the help of the hybrid optimization ASS‐CO Algorithm. The proposed ASS‐CO algorithm‐based massive MIMO communication system is evaluated by experimental analysis. From the result analysis, the maximum resource efficiency is observed by SS‐WOA, which is 6.6%, 50%, 6.6%, 6.6%, and 6.6% maximized than rider optimization algorithm (ROA), spotted hyena optimization (SHO), lion algorithm (LA), Shark Smell Optimization (SSO), and Coyote Optimization Algorithm (COA) by taking the count of base stations as 4. The superior performance enhancement regarding “spectral efficiency and energy efficiency” is accomplished over the traditional systems.
Fairness constraint efficiency optimization for multiresource allocation in a cluster system serving internet of things
Authors: Chen Shaomiao , Yang Ce , Huang Weihong , Liang Wei , Ke Nai , Souri Alireza , Li Kuan‐Ching 
Published: November 2022

SummaryMassive, diverse, and high‐frequency Internet of Things (IoT) applications pose challenges to the operation of cluster systems that serve it. Fair and efficient multidimensional resource allocation is of great significance to the sustainable operation of these systems. However, most of the existing cluster multiresource allocation optimization researches focus too much on the fairness of resource allocation and ignore the efficiency. The unbalanced use of multidimensional system resources reduces the effective utilization of system resources, which seriously affects the service quality of IoT applications. In this paper, we define the multiresource fair and efficient sharing optimization as a fairness‐constrained efficiency optimization problem, which is from dynamics, discrete resources, and heterogeneous perspectives according to the characteristics of cluster system in practical. Moreover, we present a dynamic efficiency‐aware multiresource fair allocation algorithm, DEF, which can improve the ability of the cluster system to serve diverse IoT applications. In the algorithm, large jobs schedule to the servers that expect the least remaining resources. Simulations performed using Google cluster‐usage traces show that DEF can improve system resource utilization and guarantee the fairness of sharing among users.