bluuebunny/crossref_metadata_2025_split huggingface dataset:
Good Chemistry: Methodological, Ethical, and Social Dimensions
Authors: Mehlich Jan 
Published: February 2023

Practicing chemists face a number of ethical considerations, from issues of attribution of authorship through the potential environmental impact of a new process to the decision to work on chemicals that could be weaponised. By keeping ethical considerations in mind when working, chemists can build their own credibility, contribute to public trust in the chemical sciences and do science that benefits the world.
Divided into three parts, methodological aspects, research ethics, and social and environmental implications, Good Chemistry introduces tools and concepts to help chemists recognise the ethical and social dimensions of their own work and act appropriately.
Written to support chemistry students in their studies this book includes practice questions and examples of relevant situations to help students engage with the subject and prepare for their professional life in academia, industry, or public service.
Practical Volumetric Analysis
Authors: McPherson Peter 
Published: February 2023

Proficiency in volumetric analysis is a key skill for chemists in research and industry. This work seeks to ‘modernise’ approaches to volumetric analysis, by relating practical work to vocationally-relevant topics, whilst maintaining the rigor required for satisfactory performance in practical examinations. Written by someone who has experienced both teaching and working as a research chemist, this up to date textbook on practical volumetric analysis will provide the theoretical chemistry associated with volumetric analysis supported by a selection of practicals. There will also be suggestions for a number of investigations which could form the basis of project-based learning or coursework, particularly for those pursing vocational science courses.
Section 1 will consist of three theory chapters, covering preliminary concepts (fundamentals of chemistry, essential quantitative chemistry and concepts of statistics). Section 2 will be divided into four chapters, based on the four main divisions of volumetric analysis (acid-base titrimetry, redox titrimetry, precipitation titrimetry and complexometric titrimetry). Each chapter in this section will start with a review of essential theory, with worked examples and illustrations where appropriate, and end with a selection of laboratory practicals. Each chapter will also contain a number of open-ended investigations, for use in project-based learning or coursework. Section 3 will address more advanced topics and be divided into four chapters (volumetric analysis in industry, further statistical concepts, mathematics of titrimetry and advanced titrimetry). Practical work and suggestions for further reading will be included where appropriate.
Practical Volumetric Analysis is suitable for students taking modules in introductory chemistry and analytical chemistry on undergraduate degree courses as well as providing guidance to non-specialists teaching chemistry.
Fast and flexible stack‐based inverse tone mapping
Authors: Zhang Ning , Ye Yuyao , Zhao Yang , Li Xufeng , Wang Ronggang 
Published: February 2023

AbstractInverse tone mapping technique is widely used to restore the lost textures from a single low dynamic range image. Recently, many stack‐based deep inverse tone mapping networks have achieved impressive results by estimating a set of multi‐exposure images from a single low dynamic range input. However, there are still some limitations. On the one hand, these methods usually set a fixed length for the estimated multi‐exposure stack, which may introduce computational redundancy or cause inaccurate results. On the other hand, they neglect that the difficulties of estimating each exposure value are different and use the identical model to increase or decrease exposure value. To solve these problems, the authors design an exposure decision network to adaptively determine the number of times the exposure of low dynamic range input should be increased or decreased. Meanwhile, the authors decouple the increasing/decreasing process into two sub‐modules, exposure adjustment and optional detail recovery, based on the characteristics of different variations of exposure values. With these improvements, this method can fast and flexibly estimate the multi‐exposure stack from a single low dynamic range image. Experiments on several datasets demonstrate the advantages of the proposed method compared to state‐of‐the‐art inverse tone mapping methods.
An activated variable parameter gradient‐based neural network for time‐variant constrained quadratic programming and its applications
Authors: Wang Guancheng , Hao Zhihao , Li Haisheng , Zhang Bob 
Published: February 2023

AbstractThis study proposes a novel gradient‐based neural network model with an activated variable parameter, named as the activated variable parameter gradient‐based neural network (AVPGNN) model, to solve time‐varying constrained quadratic programming (TVCQP) problems. Compared with the existing models, the AVPGNN model has the following advantages: (1) avoids the matrix inverse, which can significantly reduce the computing complexity; (2) introduces the time‐derivative of the time‐varying parameters in the TVCQP problem by adding an activated variable parameter, enabling the AVPGNN model to achieve a predictive calculation that achieves zero residual error in theory; (3) adopts the activation function to accelerate the convergence rate. To solve the TVCQP problem with the AVPGNN model, the TVCQP problem is transformed into a non‐linear equation with a non‐linear compensation problem function based on the Karush Kuhn Tucker conditions. Then, a variable parameter with an activation function is employed to design the AVPGNN model. The accuracy and convergence rate of the AVPGNN model are rigorously analysed in theory. Furthermore, numerical experiments are also executed to demonstrate the effectiveness and superiority of the proposed model. Moreover, to explore the feasibility of the AVPGNN model, applications to the motion planning of a robotic manipulator and the portfolio selection of marketed securities are illustrated.
Computation rate optimization for double‐intelligent reflecting surface aided mobile edge computing system
Authors: Yu Chao , Li Yixuan , Xie Wenwu , Zhu Peng , Peng Xin 
Published: February 2023

AbstractIn order to improve the performance of the mobile edge computing (MEC) system, the intelligent reflecting surface (IRS) has recently been included. This paper investigates the computation performance of an IRS‐aided MEC system, where an access point services multi‐MEC devices by utilizing two distributed IRSs to operate a partial offloading strategy. Through collaboratively constructing the cooperative passive beamforming at the two IRSs, the central processing unit (CPU) frequency, the offloading time allocation, and the transmit power of users, an optimization problem is constructed to maximize the sum computation rate of the proposed system. To tackle this non‐convex issue, the authors first illustrate that the design of passive beamforming is independent to optimize other variables and propose to solve it alternatively. Then the joint optimization problem of other parameters is proved to be a convex problem and is resolvable by adopting the Lagrange dual approach. Compared with the benchmark schemes, the simulation outcomes demonstrated that the performance of the proposed system is vastly improved by deploying two distributed IRSs.
An innovative technique for optimization and sensitivity analysis of a PV/DG/BESS based on converged Henry gas solubility optimizer: A case study
Authors: Ghadimi Noradin , Sedaghat Majid , Azar Keyvan Karamnejadi , Arandian Behdad , Fathi Gholamreza , Ghadamyari Mojtaba 
Published: February 2023

AbstractThe construction of hybrid power plants with renewable resources can bring significant economic benefits if it is evaluated economically and technically. The present study uses a novel optimum methodology for designing a combined solar/battery/diesel system in Yarkant, Xinjiang Uyghur Autonomous Region of China. In the desired system, the green energy combined system is designed to reduce the use of diesel generators. The diesel generator has been used in the photovoltaic, diesel, and battery to support green energy resources and batteries, as well as function as a backup generator for critical times whenever the production of green energy resources is low or the load demand is high. The amount of CO2 emitted, the probability of load shortage and the system cost on yearly basis are the major goals in the process of optimization. Here, the single‐objective problem is created by using the ε‐constraint technique to combine the many objectives. An improved Henry gas solubility optimizer handles the problem of optimization. To demonstrate the superiority of the strategy, a comparison is conducted between the simulation outcomes of the offered system, HOMER, and particle swarm optimizer ‐based optimum systems from the literature. The sensitivity of each parameter is also examined using sensitivity analysis.
Theoretical connection from the dielectric constant of films to the capacitance of capacitors under high temperature
Authors: Zhang Yongxin , Feng Qikun , Zhong Shaolong , Pei Jiayao , Chen Fangyi , Huang Lei , Yang Zhe , Dang Zhimin 
Published: February 2023

AbstractIn the process of coping with energy and environmental protection issues, technologies such as energy materials, energy devices, and energy systems have made great progress. With excellent performance, film capacitors play an increasingly important role in energy‐related fields. With the increase of application scenarios and the continuous development of film material technology, it is urgent to establish a better theoretical connection from films to capacitors. First, the main components of the capacitor including the film and the positional relationships among them are given. Then, from the two perspectives of indirect calculation according to the volume and the direct calculation according to the winding process, the equation between the dielectric constant of films and the corresponding capacitance of capacitors is established. Further, the measurement data and error analysis results of the built test platform prove the accuracy and great potential of the proposed calculation methods. In addition, error sources, including film thickness uniformity, are listed. Finally, the challenges faced by the proposed calculation methods and the paths that can be referenced for future research are summarised and discussed.
Retracted: Software solution for text summarisation using machine learning based Bidirectional Encoder Representations from Transformers algorithm
Authors: Al Abdulwahid Abdulwahid 
Published: February 2023

AbstractRetraction: [Abdulwahid Al Abdulwahid, Software solution for text summarisation using machine learning based Bidirectional Encoder Representations from Transformers algorithm, IET Software 2023 (https://doi.org/10.1049/sfw2.12098)].The above article from IET Software, published online on 2 February 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor‐in‐Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.
Tidally perturbed gravity-mode pulsations in a sample of close eclipsing binaries
Authors: Van Reeth T. , Johnston C. , Southworth J. , Fuller J. , Bowman D. M. , Poniatowski L. , Van Beeck J. 
Published: February 2023

Context. Thanks to the high-precision photometry from space missions such as Kepler and TESS, tidal perturbations and tilting of pulsations have been detected in more than a dozen binary systems. However, only two of these were gravity-mode (g-mode) pulsators.
Aims. We aim to detect tidally perturbed g modes in additional binary systems and characterise them observationally.
Methods. We performed a custom data reduction of the available Kepler and TESS photometry of a well-studied, published sample of 35 binary systems with γ Doradus (γ Dor) pulsators. For each target, we modelled the binary signal using a sum of 100 sine waves with frequencies at orbital harmonics and measured significant pulsation frequencies in an iterative pre-whitening analysis of the residual light curve. Pulsations are labelled as tidally perturbed g modes if they are part of both period-spacing patterns and multiplets spaced by integer multiples of the orbital frequency. After visual inspection and confirmation, the properties of these targets and g modes were characterised.
Results. We detect tidally perturbed g-mode pulsations for five short-period binaries that are circularised and (almost) synchronously rotating: KIC 3228863, KIC 3341457, KIC 4947528, KIC 9108579, and KIC 12785282. Tidally perturbed g modes that occur within the same star and have the same mode identification (k, m), are found to have near-identical relative amplitude and phase modulations, which are within their respective 1 − σ uncertainties and also identical for the Kepler and TESS photometric passbands. By contrast, pulsations with different mode identifications (k, m) are found to exhibit different modulations. Moreover, the observed amplitude and phase modulations are correlated, indicating that the binary tides primarily distort the g-mode amplitudes on the stellar surface. The phase modulations are then primarily a geometric effect of the integration of the stellar flux over the visible stellar surface. All selected binaries also exhibit signal that resembles rotational modulation in the Fourier domain. In the case of KIC 3228863, this is caused by the presence of the known tertiary component, and for the other systems we hypothesise that it is caused by temperature variations on the stellar surface. Alternatively, the signal can be made up of overstable convective modes in the stellar core or may belong to the non-pulsating companion.
Conclusions. While g-mode pulsation periods are known to be a direct probe of the deep interior stellar structure, the binary tides that cause the pulsation modulations are dominant in the outer stellar layers. Hence, in the future, tidally perturbed g modes may allow us to carry out core-to-surface asteroseismic modelling of tidally distorted stars.
Sarcopenia Prevalence and Associated Factors in Male Patients with
Axial Spondyloarthritis
Authors: Shao Qin , Dai Min , Wei Lianggang 
Published: February 2023

Abstract
Background Sarcopenia is characterised by loss of muscle strength and
mass, leading to falls and adverse health outcomes. Our aim was to determine the
prevalence of sarcopenia in patients with axial spondyloarthritis (ax-SpA) and
to identify factors associated with sarcopenia in these patients.
Methods This cross-sectional study included 120 male patients with ax-SpA
and 100 healthy individuals matched for both sex and age. Sarcopenia was
assessed by muscle strength, muscle mass and physical performance using the
criteria determined by the Asian Working Group for Sarcopenia (AWGS). The
ankylosing spondylitis disease activity score (ASDAS), laboratory indicators and
bone mineral density were determined. Falls/fractures sustained over the
prior year were evaluated. The association between sarcopenia and clinical
characteristics was evaluated using logistic regression analyses.
Results According to the diagnostic criteria of AWGS 2019, the prevalence
of sarcopenia, severe sarcopenia and possible sarcopenia was 20.8%, 9.2
and 16.7% higher than in the healthy control population
(p<0.01). Factors associated with the prevalence of secondary sarcopenia
in ax-SpA were ASDAS, serum levels of prealbumin and 25-(OH)D as well as the
incidence of falls/fractures.
Conclusions Patients with ax-SpA have a high incidence of sarcopenia. The
development of sarcopenia was associated with high ASDAS, reduced levels of
prealbumin and 25-(OH)D as well as the incidence of falls/fractures.
Ligament Tension and Balance before and after Robotic-Assisted Total Knee Arthroplasty — Dynamic Changes with Increasing Applied Force
Authors: Sharma Abhinav K. , Plaskos Christopher , Shalhoub Sami , Lawrence Dylan , Vigdorchik Jonathan M. , Lawrence Jeffrey M. 
Published: February 2023

AbstractThe optimal force applied during ligament balancing in total knee arthroplasty (TKA) is not well understood. We quantified the effect of increasing distraction force on medial and lateral gaps throughout the range of knee motion, both prior to and after femoral resections in tibial-first gap-balancing TKA. Twenty-five consecutive knees in 21 patients underwent robotic-assisted TKA. The posterior cruciate ligament was resected, and the tibia was cut neutral to the mechanical axis. A digital ligament tensioning tool recorded gaps and applied equal mediolateral loads of 70 N (baseline), 90 N, and 110 N from 90 degrees to full extension. A gap-balancing algorithm planned the femoral implant position to achieve a balanced knee throughout flexion. After femoral resections, gap measurements were repeated under the same conditions. Paired t-tests identified gap differences between load levels, medial/lateral compartments, and flexion angle. Gaps increased from 0 to 20 degrees in flexion, then remain consistent through 90 degrees of flexion. Baseline medial gap was significantly smaller than lateral gap throughout flexion (p <0.05). Increasing load had a larger effect on the lateral versus medial gaps (p <0.05) and on flexion versus extension gaps. Increasing distraction force resulted in non-linear and asymmetric gap changes mediolaterally and from flexion to extension. Digital ligament tensioning devices can give better understanding of the relationship between joint distraction, ligament tension, and knee stiffness throughout the range of flexion. This can aid in informed surgical decision making and optimal soft tissue tensioning during TKA.
Top 50 Most-Cited Publications on Blepharoplasty Surgery Between 2015 and 2022: From a Current Altmetric Perspective of Research Impact
Authors: Evereklioglu Cem , Sener Hidayet , Horozoglu Fatih 
Published: February 2023

Abstract
Background Blepharoplasty is one of the most-performed esthetic operations, and social media platforms have become an influential tool for distributing scientific information. Because the internet has gained popularity among medical experts and surgeons to connect with the public, we aimed to evaluate the altmetric–bibliometric analysis of the top 50 most-cited articles on blepharoplasty surgery between 2015 and 2022 and assess correlations with various metrics.
Methods “Blepharoplasty” was searched using the WoS database, and the altmetric score was obtained. Co-authors, keywords, country of authors, and cited journal network map analysis were created using VOSviewer for the 485 publications retrieved. The articles' focus was examined quantitatively and the most prolific parameters were identified.
Results The most research was performed by the USA, the most productive institution was the “University of California System,” and the most prolific author was “Wonn CH.” The number of citations ranged from 37 to 9, and altmetric attention scores ranged from 54 to 0. The most articles and citations peaked in 2021. Altmetric and Twitter scores were moderately correlated with journal metrics but there were no correlations with citation counts.
Conclusion The first comprehensive altmetric analysis on blepharoplasty surgery offers new guidelines for upcoming articles by demonstrating the recent investigation trends, prolific parameters, and zones with potential for the public's attention and education, providing valuable data regarding the distribution of scientific knowledge in social media platforms and to the general public. A social network may be used to increase the visibility of scientific articles apart from creating brands and markets.
Interstitial Ectopic Pregnancy with Enhanced Myometrial Vascularity: A Rare Case Successfully Treated with Uterine Artery Embolization
Authors: Khurana Navpreet Kaur , Gangwani Gaurav , Thiyagarajan Kamalapriya , Chaurasia Aditi , Thakre Akanksha 
Published: February 2023

AbstractEnhanced myometrial vascularity (EMV) is a rare disorder associated with various obstetrical and gynecological pathologies. We describe a unique case of interstitial ectopic pregnancy associated with EMV successfully managed with bilateral uterine artery embolization.
Drug–Drug Interactions in the Treatment of Cancer-Associated Venous Thromboembolism with Direct Oral Anticoagulants
Authors: Hellfritzsch Maja , Henriksen Jakob Nørgaard , Holt Marianne Ingerslev , Grove Erik Lerkevang 
Published: February 2023

AbstractVenous thromboembolism (VTE) is a frequent complication of cancer, and management of cancer-associated thrombosis (CAT) is challenging due to increased risks of bleeding and recurrent VTE. Recent trials have shown an acceptable efficacy and safety of direct oral anticoagulants (DOACs) in the treatment of CAT compared to low-molecular weight heparin. Although DOACs provide an effective and convenient treatment option in CAT, the need to assess the risk of drug–drug interactions (DDI) with antineoplastic therapies poses a barrier to their use in clinical practice. With the aim of supporting the assessment of CAT patients for treatment with DOAC, this review provides a comprehensive overview of the compatibility of antineoplastic therapies with the individual DOACs (apixaban, dabigatran, edoxaban, and rivaroxaban). Using several data sources, we characterized 100 widely used antineoplastic agents with regard to their effect on p-glycoprotein and cytochrome P450, both important in the transport and elimination of DOACs. This enabled us to evaluate 400 “DOAC-antineoplastic agent”-pairs regarding their likelihood to interact (unlikely, potential, or likely), ultimately leading to clinical recommendations on the appropriateness of concomitant use for each pair. A potential or likely DDI was identified for 12% of the evaluated pairs. For nearly all antineoplastic agents, at least one DOAC was considered compatible.
Fabrication and soft magnetic properties of FeSiB based flakes with insulating surface layer suitable for high frequency power applications
Authors: Das Rajasree , Ye Liang , Lal Sumit Sukhbasi , Baghbaderani Hasan Ahmadian , Sai Ranajit , Hayes Michael , Morris Michael A. , McCloskey Paul 
Published: February 2023

FeSiB based soft magnetic flakes (SMFs; ϕ: 63-106 µm, t: 2-5 µm) coated with optimally thick (∼10 nm) SiO2 were fabricated as the potential magnetic material for pressed cores suitable for use in power inductors operating beyond 10 MHz. Such thin SMFs were produced by mechanical ball milling of commercially available thick (∼27 µm) ribbons followed by an optimized sol-gel coating in presence of a silane coupling agent. Milling helped to reduce ribbon thickness below the skin depth to minimize eddy current loss at high frequencies. The effect of milling (medium, duration, rotation speed, and ball-to-powder ratio) and coating conditions on the soft magnetic properties of the SMFs were investigated. An optimally tiny fraction of the milled flakes was allowed to become nanocrystalline, which augments saturation flux density (BS) and permeability (µ) without incurring additional losses. The results from X-Ray photoelectron spectroscopy and magnetization measurement confirm that a stress-releasing post-annealing process reduced coercivity from ∼62 Oe to ∼6 Oe and enhanced the magnetic saturation moment from 126 emu/g to 142 emu/g without affecting the thin yet robust insulating SiO2 layer.