bluuebunny/crossref_metadata_2025_split huggingface dataset:
A machine learning‐based compressive spectrum sensing in 5G networks using cognitive radio networks
Authors: Perumal Ramakrishnan , Nagarajan Sathish Kumar 
Published: August 2022

SummaryIn recent times, evolution of communication technology and standard has grown in leaps and bounds from a conventional 1G communication technology towards the recent 5G and 6G technologies in a very short span of time. However, due to increasing scarcity of spectrum for these devices, cognitive radio networks (CRNs) have emerged to be promising solutions to allocate the required spectrum to the users in an intelligent manner. The method of compressive sensing‐based cyclo‐stationary feaure detection method is implemented based on a powerful CNN classifier to detect the presence or absence of PU activity. Detection probability and MSE have been improved, and the optimal detection has been reformulated for minimizing the possibility of error. Performance metrics have been compared against benchmark methods and superior performance reported. The sensing conduction and the accuracy of the proposed design are increased as 98.5%.
Time‐switched energy harvesting amplify‐forward relay with direct link: Performance analysis
Authors: Singh Kaustubh Ranjan , Garg Parul 
Published: August 2022

SummaryA dual‐hop time‐switched (TS) energy harvesting (EH) amplify forward (AF) relay system has been considered, which comprises three nodes: source (S), destination (D), and an energy harvesting relay (R), respectively. Besides the relay link, the proposed architecture has an additional direct link between the source and destination node. For this model, we derive the expressions for system outage probability and throughput. The proposed architecture shows significant performance increments in terms of system outage probability and throughput when compared with a traditional EH relay system having no direct link.
Tabular strategies for metadata in ecology, evolution, and the environmental sciences
Authors: Lortie C. J. , Vargas Poulsen Camila , Brun Julien , Kui Li 
Published: August 2022

AbstractData support knowledge development and theory advances in ecology and evolution. We are increasingly reusing data within our teams and projects and through the global, openly archived datasets of others. Metadata can be challenging to write and interpret, but it is always crucial for reuse. The value metadata cannot be overstated—even as a relatively independent research object because it describes the work that has been done in a structured format. We advance a new perspective and classify methods for metadata curation and development with tables. Tables with templates can be effectively used to capture all components of an experiment or project in a single, easy‐to‐read file familiar to most scientists. If coupled with the R programming language, metadata from tables can then be rapidly and reproducibly converted to publication formats including extensible markup language files suitable for data repositories. Tables can also be used to summarize existing metadata and store metadata across many datasets. A case study is provided and the added benefits of tables for metadata, a priori, are developed to ensure a more streamlined publishing process for many data repositories used in ecology, evolution, and the environmental sciences. In ecology and evolution, researchers are often highly tabular thinkers from experimental data collection in the lab and/or field, and representations of metadata as a table will provide novel research and reuse insights.
Use of sodium glucose co‐transporter 2 inhibitors in acute heart failure: a practical guidance
Authors: Ferreira João Pedro , Pimenta Joana , Moura Brenda , Aguiar Carlos , Franco Fátima 
Published: August 2022

AbstractAimsHeart failure (HF) is the most frequent cause of hospital admission among patients 65 years or older. Patients hospitalized for acutely decompensated chronic HF and ‘de novo’ acute heart failure (AHF) continue to experience unacceptably high post‐discharge readmission and mortality rates.Methods and resultsUntil recently, trials had failed to improve outcome in patients with AHF irrespective of ejection fraction with exception of sodium‐glucose co‐transporter 2 inhibitors (SGLT2i) that improved clinical outcomes in patients hospitalized for AHF in the Study to Test the Effect of Empagliflozin in Patients Who Are in Hospital for Acute Heart Failure (EMPULSE) and in the Effect of Sotagliflozin on Cardiovascular Events in Patients With Type 2 Diabetes Post Worsening Heart Failure (SOLOIST‐WHF) trials.ConclusionsThis document reviews the potential utility of SGLT2i in patients hospitalized for AHF.
Effects of First‐Coordination Sphere and Buffers on the Nitrosyl‐Nitrite Conversion Rate in Ru(II) Complexes
Authors: Rebecchi Rios Rafaella , Gracielli Sousa Rodrigues Phamilla , Biazzotto Juliana C. , Galembeck Sérgio Emanuel , Santana da Silva Roberto 
Published: August 2022

AbstractNitrogen oxide derivative ruthenium compounds can deliver nitric oxide (NO) by chemical, electrochemical, or photochemical processes. Among these compounds, nitrosyl ruthenium complexes have been one of the most studied species. The σ‐ and π‐character of the co‐ligand L in [RuL5(NO)]n+ exerts a unique and determining effect on the structure of the complex and the NO delivery mode. We have found inconsistencies in this assertion. How the buffer medium influences the hydrolysis rate constant of nitrosyl ruthenium complexes such as cis‐[Ru(NO)(bpy)2L]3++(L=4‐pic; py; isn and 4‐acpy) has been evaluated in biphthalate, phosphate, and imidazole buffer solutions. For the studied ruthenium complexes, hydrolysis depended on the π‐acceptor character of ligand “L”, with kobs increasing in the following order: 4‐pic<py<isn<4‐acpy. For nitrite conversion, the relative efficiency of the buffers increased in the order: biphthalate<phosphate<imidazole for all the studied nitrosyl ruthenium complexes. On the basis of these findings, we hypothesized that the second‐coordination sphere interacts with the ruthenium complexes. By conducting theoretical modeling studies, we have elucidated the potential contribution of this interaction to nitrosyl/nitrite interconversion.
A novel 2D analytical model for predicting single and multiple‐interacting wakes of horizontal‐axis wind turbines
Authors: Asad Ayoubi Peyman , Eftekhari Yazdi Mohammad , Harsini Iraj 
Published: August 2022

AbstractA 2D analytical model has been proposed for predicting the wind velocity distribution inside the wake by coupling the Jensen wake model and the Gaussian function using the conservation of mass and momentum. More realistic approaches were adopted in choosing the control volume and calculation of the wake initial radius at the formation and a new modified expression was employed for the wake turbulence intensity to be used for computation of the revised wake decay. Validation of the model was performed using a body of experimental and numerical data, where the model was thoroughly compared with five analytical models of the literature. The model was successful in predicting double‐interacting wakes, and gave more accurate single wake velocity profiles at the far wake region, especially at downwind distances of ( is the rotor diameter), which are the economically‐ and power harvesting‐optimized spacing between the turbines in wind farms.
2‐Chloro‐5‐(1‐hydroxy‐3‐oxoisoindolin‐1‐yl)benzenesulfonamides as potential inhibitors of urease: Synthesis, in‐vitro and molecular modeling approach
Authors: Irshad Sajid , Ahmad Saeed , Khan Mohsin Abbas , Aziz Mubashir , Ejaz Syeda Abida , Elhadi Muawya 
Published: August 2022

AbstractThe present work is focused on the identification of 2‐chloro‐5‐(1‐hydroxy‐3‐oxoisoindolin‐1‐yl) benzenesulfonamides (5a–5k) Schiff bases as potent urease inhibitors. The rationale behind the urease activity was to introduce lead candidate for the treatment of GIT disorders including gastric and peptic ulcer and hepatic encephalopathy. The synthesized compounds exhibited excellent anti‐urease activity which was further supported by in‐silico investigations. Therefore, it can be suggested that these derivatives can be considered as a potential lead in future for synthesis of potent inhibitors.
“There's so much more to that sinking island!”—Restorying migration from Kiribati and Tuvalu to Aotearoa New Zealand
Authors: Yates Olivia E. T. , Groot Shiloh , Manuela Sam , Neef Andreas 
Published: August 2022

AbstractBackground and AimsMany Pacific people are considering cross‐border mobility in response to the climate crisis, despite exclusion from international protection frameworks. The ‘Migration with dignity’ concept facilitates immigration within existing laws but without host government support. Through the metaphor of Pacific navigation, we explore the role of dignity in the lives of I‐Kiribati and Tuvaluans in Aotearoa New Zealand.MethodsCombining talanoa (pacific research method) with I‐Kiribati and Tuvaluan community members, alongside critical community psychology and thematic analysis, we depict climate mobility as a wa or vaka moana (ocean‐going canoes) journey.AnalysisParticipants are expert navigators, navigating immigration obstacles to (re)grow their roots in Aotearoa New Zealand before charting a course for future generations to thrive. They draw strength from culture and community to overcome the adversity of precarious living and visa non‐recognition.ConclusionReconceptualising climate mobility through a Pacific lens imagines both dignity and cultural preservation as possible, despite the indignities and limitations of socio‐political systems and protections for climate migrants.
Discovery of a small‐molecule inhibitor targeting the ovarian tumor domain of a novel Tamdy orthonairoviruse associated with human febrile illness
Authors: Li Zan , Wang Weijia , Xiao Yanshuang , Du Shan , Chen Zhuohang , Li Bing , Zhou Zhong‐Wei , Liu Kuancheng , Gao Feng , Sun Litao 
Published: August 2022

AbstractTick‐borne orthonairoviruses have been characterized as a global health threat to humans and animals. Tacheng Tick virus 1 (TcTV‐1) from this family was provided as evidence that is associated with the febrile illness syndrome. Here, we first identify and demonstrate that the ovarian tumor (OTU) domain of TcTV‐1 has remarkable deubiquitinating activity both in vitro and in vivo. By solving the crystal structure of TcTV‐1 OTU (tcOTU) domain and comparing it to that of human deubiquitinating enzymes, we found that overall structures of tcOTU and human OTU family are similar, but the residues involved in the catalytic pocket vary widely. Based on the tcOTU domain we screened 5090 bioactive compounds and found mecobalamin had a good effect on suppressing the deubiquitinating activity. The structural model of tcOTU and mecobalamin suggests that mecobalamin occupies the site of the substrate Ub, by blocking the substrate binding to the enzyme. Thus, our results showed OTU domain of TcTV‐1 has a robust deubiquitinating activity and mecobalamin or its derivatives might be promising candidates for the treatment or prevention of disease caused by the TcTV‐1 virus.
Metal adduction in mass spectrometric analyses of carbohydrates and glycoconjugates
Authors: Gass Darren T. , Quintero Ana V. , Hatvany Jacob B. , Gallagher Elyssia S. 
Published: August 2022

AbstractGlycans, carbohydrates, and glycoconjugates are involved in many crucial biological processes, such as disease development, immune responses, and cell–cell recognition. Glycans and carbohydrates are known for the large number of isomeric features associated with their structures, making analysis challenging compared with other biomolecules. Mass spectrometry has become the primary method of structural characterization for carbohydrates, glycans, and glycoconjugates. Metal adduction is especially important for the mass spectrometric analysis of carbohydrates and glycans. Metal‐ion adduction to carbohydrates and glycoconjugates affects ion formation and the three‐dimensional, gas‐phase structures. Herein, we discuss how metal‐ion adduction impacts ionization, ion mobility, ion activation and dissociation, and hydrogen/deuterium exchange for carbohydrates and glycoconjugates. We also compare the use of different metals for these various techniques and highlight the value in using metals as charge carriers for these analyses. Finally, we provide recommendations for selecting a metal for analysis of carbohydrate adducts and describe areas for continued research.
Energy‐dependence investigation for a range of clinically used detectors from 70 kV to 6 MV
Authors: Shields Laura , Nikandrovs Mihails , Vintró Luis León , Clean Brendan Mc 
Published: August 2022

AbstractPurposeAccurate measurement of out‐of‐field dose in radiotherapy directly impacts beam data modeling in treatment planning systems, verification of implanted electronic devices/lens/fetus dose, secondary cancer risk estimation, and organ‐at‐risk dose reporting. When performing out‐of‐field dosimetry, it is therefore imperative that the response of the detector has been well characterized. Due to the softening of the radiation beam out‐of‐field, many detectors will exhibit energy dependence. This study investigated the energy dependence of a range of clinical available detectors over typical energies experienced out‐of‐field.MethodsThe response of detectors to photon beams from 70 kV to 6 MV was measured. The relative change in response from 6 MV down to 70 kV highlighted the expected deviation in the response of detectors that would typically be calibrated in‐field for use out‐of‐field.ResultsThe Pinpoint detector displayed the most energy‐independent response over the energy range investigated. The Micro‐Lion detector was the only detector to show an under‐response to all low‐energy beams relative to 6 MV. The diode‐type detectors showed the largest energy dependence.ConclusionsWhen considering detectors for use in out‐of‐field dose measurements, it is important that the energy dependence is investigated over a low‐energy range as out‐of‐field the energy spectra comprise a larger component of photons in the 50–100‐keV range. This study highlights the variation in response of a range of clinically available detectors to low‐energy radiation beams relative to 6 MV for out‐of‐field dosimetry. The Pinpoint detector was the most energy‐independent detector with a response close to unity over the entire energy range investigated.
Analytical uncertainty quantification approach based on adaptive generalized co‐Gaussian process model
Authors: Wan Hua‐Ping , Zhang Zi‐Nan , Luo Yaozhi , Ren Wei‐Xin , Todd Michael D. 
Published: August 2022

AbstractGaussian process modeling (GPM) is widely used to replace physical models for uncertainty quantification (UQ). The fidelity of training samples has a major impact on the prediction performance of the GPM, and the computational time of obtaining high‐fidelity (HF) samples from simulations may be very prohibitively expensive. Therefore, this study proposes the use of the multi‐fidelity GPM for UQ to make a trade‐off between the computational cost and accuracy by combining a few HF samples with many computationally‐cheaper low‐fidelity (LF) ones. Currently, the co‐Gaussian process model (co‐GPM, also known as multi‐fidelity GPM) requires that the LF and HF samples be nested. A generalized co‐Gaussian process model (GC‐GPM) is developed that can mix LF and HF samples under both nested and un‐nested conditions. In addition, to further alleviate the computational cost, an adaptive sampling strategy is introduced into GC‐GPM to reduce the number of training samples using a new infill criterion. Within the adaptive GC‐GPM framework, the high dimensional integrals associated with the statistical moments (mean and variance) of structural response can be decomposed to single dimensional ones that are analytically tractable, which finally allows for analytical calculation of the mean and variance. Three full‐scale structures are adopted to verify the reliability and efficiency of the proposed adaptive GC‐GPM method, and traditional GC‐GPM and Monte Carlo simulation (MCS) are used for comparison purpose. The comparison results show that the UQ results of the adaptive GC‐GPM match well with those of the MCS and compared to the traditional GC‐GPM, the adaptive GC‐GPM owns higher computational accuracy and efficiency.
Multiple normals configuration on an arbitrary manifold for viscous mesh generation
Authors: Ye Hongfei , Chen Jianjun , Liu Taoran , Xiao Zhoufang , Zheng Jianjing , Zheng Yao 
Published: August 2022

AbstractMarching normal calculation is considered the focus of the commonly used advancing layer method for viscous mesh generation, and the local configuration of multiple normals for complex corners locally is a rather complicated problem that has not been completely solved yet. In some extremely complex corners, even the advanced commercial software cannot generate positive prismatic meshes. To address this issue, this article presents a novel method to generate multiple normals on an arbitrary manifold. In the proposed method, we abstract the multiple normals displacement and topology connection calculation into a geometric problem on the unit sphere and prove that visible conditions can always be satisfied in finite multiple normals. After that, an engineering implementation is proposed, including an initial normal calculation using visual dependency graph analysis and spherical mesh optimization. The results show that our method can generate multiple normals at extremely complex corners where even advanced commercial software failed. The experiments of the industrial model proved the reliability and effectiveness of the first layer mesh generated by our method.
Synthesis and physicochemical characterization of sulfonated polyketone ion exchange membrane using response surface methodology
Authors: Lee Byoung‐Min , Kim Jeungju , Lim Ahyoung , Gwon Hui‐Jeong , Hwang Taek Sung 
Published: August 2022

AbstractIn this study, the process parameters used for the synthesis of sulfonated polyketone in the preparation of ion exchange membranes were optimized using the response surface methodology (RSM). Sulfonated polyketone ion exchange membranes were prepared by varying three process parameters: concentration of the sulfonating agent, reaction temperature, and reaction time. The properties of the prepared membranes, such as the degree of sulfonation, water uptake, swelling ratio, ion exchange capacity, and mechanical properties, were evaluated. According to the RSM analysis, the degree of sulfonation and swelling ratio of the sulfonated polyketone ion exchange membranes were predominantly affected by the concentration of the sulfonating agent, whereas the water uptake and mechanical properties were predominantly affected by the reaction temperature. The optimal process parameters determined for the synthesis of sulfonated polyketone in the ion exchange membranes are: sulfonating agent concentration of 0.4 wt.%, reaction temperature of 40°C, and reaction time of 62.6 min, which resulted in an ion exchange capacity of 0.88 meq/g. Based on these results, it was concluded that the analysis using RSM is very useful because the experiments and statistical analysis showed similar results.
Adaptation of the Patient Reported Outcome Measurement Information System (PROMIS) tool for childhood cancer in India: A qualitative study
Authors: Sasi Archana , Ganguly Shuvadeep , Sharma Shubhangi , Singh Ritika , Verma Vasudha , Bisht Reema , Kalra Devanshi , Satapathy Sujata , Bakhshi Sameer 
Published: August 2022

AbstractBackgroundTo fill the gap in patient‐reported outcome (PRO) assessment in children with cancer in India, we planned to adapt domains from the HealthMeasures Patient Reported Outcomes Measurement Information System (PROMIS) tool. This study attempted to identify and pool outcomes relevant to children with cancer and their caregivers in Northern India.MethodsThe study was qualitative and conducted through focussed group discussions (FGDs) and in‐depth interviews of children with cancer and their caregivers. Content analysis of transcripts from the sessions was done. The collected themes were collated with existing item banks of the PROMIS tool and new concepts unique to our population were compiled.ResultsA set of three FGDs and 14 interviews each for children and their caregivers were conducted. Following content analysis, 121 themes were identified including 10 new concepts. Themes pertaining to the physical domain were cited most. The theme distribution across the three domains was similar among children and caregivers. In the survivor cohort, the relative frequency of mention of psychological and social themes was higher compared to the whole cohort. Themes pertaining to mobility, cognitive dysfunction and peer relationships were more common among survivors.ConclusionsThis qualitative study in children with cancer and their caregivers in India has facilitated a better understanding of the issues pertaining to cancer care that are of most importance to its stake holders. The themes collected may be used to formulate a PRO tool uniquely tailored for use in this population.
Event‐triggered‐NN control for nonlinear system with unknown gain and disturbance
Authors: Li Meng , Chen Yong , Shi Peng 
Published: August 2022

AbstractIn this article, the problem of tracking control for nonlinear system with unknown gain and disturbance is studied. First, to compensate for the adverse effects of disturbance, a disturbance observer via sliding‐mode is designed to estimate the disturbance, and the finite‐time convergence of estimation error is ensured under certain conditions. Then, an event‐triggered neural networks controller based on estimated disturbance is presented to achieve tracking control. Among which, the Nussbaum technique is employed to deal with the unknown gain, and the super‐twisting estimator is introduced to estimate the derivative of virtual control input. Then a time‐varying event‐triggered strategy is designed to reduce communication load. Furthermore, the stability analysis shows that the close‐loop signals are bounded, the tracking error converges to a small compact set, and no Zeno phenomenon occurs. Finally, two examples are provided to illustrate the effectiveness of the proposed new design schemes.