bluuebunny/crossref_metadata_2025_split huggingface dataset:
Redox-induced Diels–Alder revisited: impact of diene's oxidation on demanding cycloadditions
Authors: Jadwiszczak Michał J. , Leszczyński Piotr J. , Mazej Zoran , Malinowski Przemysław J. , Nawrocka Ewa K. , Kazimierczuk Krzysztof , Kwiatkowski Piotr , Połczyński Piotr , Grochowska-Tatarczak Magdalena , Fijalkowski Karol J. , Sadło Jarosław , Grochala Wojciech 
Published: September 2023

Our proposition for the modification is:In opposition to the classical explanation of reactivity in Diels–Alder reactions, they can be facilitated by oxidation of dienes with the use of AgIISO4. Experimental and computational studies show the potential and bottlenecks of redox-initiated DA.
Melatonin targets ferroptosis through bimodal alteration of redox environment and cellular pathways in NAFLD model
Authors: Saha Moumita , Das Sanjib , Manna Krishnendu , Saha Krishna Das 
Published: September 2023

Abstract
Ferroptosis is a non-conventional cellular death caused by lipid peroxide induced iron deposition. Intracellular lipid accumulation followed by generation of lipid peroxides is an hallmark of non-alcoholic fatty liver disease (NAFLD). Melatonin (MLT) is an important pineal hormone with tremendous antioxidant and anti-inflammatory properties. Various studies targeted ferroptosis in different diseases using melatonin. However, none of them focused the intrinsic mechanism of MLT’s action to counteract ferroptosis in NAFLD. Hence, the present study investigated the role of MLT in improvement of NAFLD-induced ferroptosis.
HepG2 cells were treated with free fatty acids (FFAs) to induce in vitro NAFLD state and C57BL/6 mice were fed with high-fat diet (HFD) followed by MLT administration.
The results indicated that MLT administration caused the recovery from both FFA- and HFD-induced ferroptotic state via increasing GSH and SOD level, decreasing lipid reactive oxygen species (ROS) and malondialdehyde (MDA) level, increasing Nrf2 and HO-1 level to defend cells against an oxidative environment. MLT also altered the expression of two key proteins GPX4 and SLC7A11 back to their normal levels, which would otherwise cause ferroptosis. MLT also protected against histopathological damage of both liver tissue and HepG2 cells as depicted by Oil Red O, HE staining and immunofluorescence microscopy. MLT also had control over pAMPKα as well as PPARγ and PPARα responsible for lipid homeostasis and lipogenesis.
In brief, MLT exerted its multifaceted effect in FFA- and HFD-induced NAFLD by retrieving cellular oxidative environment, reducing lipogenesis and lipid peroxidation and modulating Nrf2/HO-1 and GPX4/SLC7A11 axis to combat ferroptosis.
An improved CNN‐LSTM network for modulation identification relying on periodic features of signal
Authors: Zhou Fan , Li Jinghui , Wang Yang 
Published: September 2023

AbstractAiming at the problem that modulated signals' classification and recognition accuracy is not high in the complex and changeable electromagnetic environment, this paper improves the CNN‐LSTM network and proposes a modulation recognition method of the CNN‐LSTM network (Intra‐InterNet) based on the periodic characteristics of the signal. The method uses the feature extraction ability of the convolutional neural network to extract the correlation features within the cycle and between adjacent cycles of different kinds of modulated signals. At the same time, the relevant features of the signals of non‐adjacent cycles are extracted by using the characteristics of the LSTM. This feature extraction method effectively enhances the feature extraction capability of the network by utilizing the periodicity of the modulated signal. Through the identification and verification of various modulation signals, the experimental results show that: under the signal‐to‐noise ratio of −6 dB ∼ 6 dB, the average identification accuracy rate reaches 87.29%, which effectively improves the accuracy of signal modulation mode identification.
Detection of low‐dose computed tomography pulmonary nodules based on 3D CNN‐CapsNet
Authors: Song Li , Zhang Ming , Wu Liang 
Published: September 2023

AbstractLung cancer is currently one of the diseases with the highest mortality rate. Early detection of pulmonary nodules is consistently one of the most effective ways to improve the overall survival of cancer patients. However, the existing deep learning‐based pulmonary nodule detection methods still have some problems such as low sensitivity, high false positives, and difficulty in detecting small nodules. To solve the above problems, a low‐dose computed tomography pulmonary nodule detection algorithm based on 3D convolution neural network and capsule network, namely 3D CNN‐CapsNet, is proposed in this work. Combination of full CNN and capsule network reduces the dependence of CNNs on a large amount of data. In 3D CNN‐CapsNet, the convolution kernel of different sizes is applied to the features of different channels to extract richer context information. Then, fused features of different scales are fed into the capsule network for representative feature extraction and more accurate classification. The authors evaluate their proposed method on Early Lung Cancer Program dataset. The nodule detection rate is 95.19%, the sensitivity is 92.31%, the specificity is 98.08%, and the F1‐score is 0.95 which are much better than other baseline methods. These experiments demonstrate that 3D CNN‐CapsNet can effectively improve the detection accuracy of nodules, and can better meet the diagnostic needs of pulmonary nodules.
An improved dynamic mode decomposition for real‐time electromechanical oscillation monitoring in power systems: The impact of ultra‐low frequency modes and its removal strategy
Authors: Fernández Orlando Delgado , Iqbal Muhammad , Gusrialdi Azwirman 
Published: September 2023

AbstractThe growing complexity of power systems, driven by the increasing use of renewable energy sources, necessitates efficient real‐time monitoring of electromechanical oscillations, which is crucial for enhancing grid security. Dynamic Mode Decomposition (DMD) is a promising data‐driven method for addressing this challenge of monitoring the electromechanical oscillations, made possible by power system digitalization. However, DMD implementation faces unresolved issues, including the impact of ultra‐low‐frequency modes (ULFM) on accuracy due to trends caused by their excitation. While larger data windows can mitigate this, they slow down oscillation estimation. ULFM characteristics remain poorly studied. This study conducts a comprehensive ULFM analysis and proposes a solution by combining DMD with a high‐pass filter to counter ULFM's adverse effects on accuracy. This allows for a reduction in DMD's window size, significantly improving computational efficiency. Simulations on three test systems demonstrate that the enhanced DMD offers faster computation and superior accuracy compared to the traditional DMD method.
Online evaluation of the distribution system resiliency criteria using Choquet‐based graph technique
Authors: Ranjbar Soheil 
Published: September 2023

AbstractNowadays, due to network expansions, system operators are dealing with natural events including system failures. Evaluating the system readiness to maintain the network interconnections during severe faults are known as an important challenge of today's distribution networks. To do this, this paper presents an online non‐model‐based scheme of evaluating the system resiliency and supplying critical loads within severe natural conditions. In this case, by developing system resiliency as multi‐metric decision making problem and proposing the Choquet integral and graph theoretic methodology, the system resiliency is evaluated. The proposed resiliency scheme is an online non‐model‐based approach can be used for all distribution system configurations with the potential of natural event failures. In this case, by proposing online resiliency criteria based on the system critical loads and branches and developing the proposed criteria on Choquet integral scheme in the form of optimization procedure, the system resiliency is evaluated. The validity of the proposed approach is carried out on two different systems including the IEEE 123‐bus test system and the Consortium for Electric Reliability Technology Solutions (CERTS) microgrid. Simulation results present effectiveness of the proposed scheme to provide proper protective switching strategy and design the system resiliency criteria for future distribution systems.
Stability analysis for sub‐synchronous oscillations in multi‐DFIGs connected system considering the interaction between generators
Authors: Shen Yaqi , Ma Jing , Zhao Yufeng 
Published: September 2023

AbstractIn order to reveal the multi‐DFIGs interaction mechanism in DFIG wind farms (DFIG‐WFs), this paper proposes a method based on dynamic energy flow path for stability analysis of sub‐synchronous oscillations in multi‐DFIGs connected system. First, the detailed dynamic energy model of DFIG‐WFs is established considering the inter‐DFIGs coupling effect, and the energy flow paths among multi‐DFIGs are revealed. From this, the interaction energy coefficient is defined to describe the effect of multi‐DFIGs interaction on the system stability, which can be divided into two items: the inter‐DFIGs induction coefficient and the inter‐DFIGs circulation coefficient. On this basis, how the differences in the parameters affect these coefficients are analysed. In this way, the effects of multi‐DFIGs interaction on the oscillation are clarified. Finally, a wind farm model is built in RT‐LAB for simulation verification. The results show that, the changes in DFIG parameters may have mutually exclusive effects on the two coefficients. When the parameters of DFIGs differ greatly, the circulation effect is dominant, which is mainly determined by the difference between DFIGs. If the parameters of DFIGs are similar to each other, the induction effect is dominant and the influence law of parameters is consistent with that of single equivalent model.
Silicone rubber‐nanoceramic composites for 5G antenna substrates
Authors: Altalebi Hasanain B. , Atiyah Alaa A. , Farid Saad B. H. 
Published: September 2023

AbstractHere, the eligibility of silicone rubber‐nanoceramic composites as flexible substrates for sub‐6 GHz 5G antennas is investigated. Two different composites are prepared using the solution mixing method, namely mono and hybrid composites. The reflection and transmission coefficient (S‐parameters) of composites are measured using a rectangular waveguide‐based transmission line technique in conjunction with a Vector Network Analyzer (VNA) at C‐band frequencies (4–8 GHz). The Nicolson–Ross–Weir (NRW) algorithm is adopted to extract the complex permittivity and loss tangent of the material under test. Due to the synergetic effect, the silicone rubber hybrid composite (0.12BiVO4+0.12LaNbO4) exhibits the advantage of a lowered loss tangent while retaining a good dielectric constant at 5.78 GHz. A rectangular microstrip patch antenna is designed and simulated with CST software using 0.12BVO/0.12LNO/0.76SR composite as a substrate. Moreover, based on the simulation, the antenna with the proposed substrate has acceptable performance at 5.78 GHz with the return loss, directivity, and gain of −25.05 dB, 5.46 dBi and 2.74 dBi, respectively. As a result, the composite material's ability to act as a suitable substrate for a 5 GHz Wi‐Fi antenna is confirmed.
Pioglitazone-Enhanced Brown Fat Whitening Contributes to Weight Gain
in Diet-Induced Obese Mice
Authors: Yu Piaojian , Wang Wei , Guo Wanrong , Cheng Lidan , Wan Zhiping , Cheng Yanglei , Shen Yunfeng , Xu Fen 
Published: September 2023

Abstract
Introduction Pioglitazone is an insulin sensitizer used for the treatment
of type 2 diabetes mellitus (T2DM) by activating peroxisome
proliferator-activated receptor gamma. This study aimed to investigate the
effects of pioglitazone on white adipose tissue (WAT) and brown adipose tissue
(BAT) in diet-induced obese (DIO) mice.
Methods C57BL/6 mice were treated with pioglitazone
(30 mg/kg/day) for 4 weeks after a 16-week high-fat diet
(HFD) challenge. Body weight gain, body fat mass, energy intake, and glucose
homeostasis were measured during or after the treatment. Histopathology was
observed by hematoxylin and eosin, oil red O, immunohistochemistry, and
immunofluorescence staining. Expression of thermogenic and mitochondrial
biogenesis-related genes was detected by quantitative real-time PCR and western
blotting.
Results After 4-week pioglitazone treatment, the fasting blood glucose
levels, glucose tolerance, and insulin sensitivity were significantly improved,
but the body weight gain and fat mass were increased in DIO mice. Compared with
the HFD group, pioglitazone did not significantly affect the weights of liver
and WAT in both subcutaneous and epididymal regions. Unexpectedly, the weight of
BAT was increased after pioglitazone treatment. Histological staining revealed
that pioglitazone ameliorated hepatic steatosis, reduced the adipocyte size in
WAT, but increased the adipocyte size in BAT.
Conclusion Though pioglitazone can promote lipolysis, thermogenesis, and
mitochondrial function in WAT, it leads to impaired thermogenesis, and
mitochondrial dysfunction in BAT. In conclusion, pioglitazone could promote the
browning of WAT but led to the whitening of BAT; the latter might be a new
potential mechanism of pioglitazone-induced weight gain during T2DM
treatment.
Impact of Nonsurgical Periodontal Treatment on Blood Pressure: A Prospective Cohort Study
Authors: Lanau Neus , Mareque-Bueno Javier , Zabalza Michel 
Published: September 2023

Abstract
Objectives Arterial hypertension and periodontitis are two of the most common diseases worldwide and recent evidence supports a causal relationship between them. Despite all antihypertensive strategies, an important number of patients are undiagnosed and a large number of the diagnosed fail to achieve optimal blood pressure (BP) measurements. Some studies point out that periodontal treatment could have positive effects on BP levels. The aim of this study is to determine if nonsurgical periodontal treatment can help BP level control in prehypertensive patients with periodontitis.
Materials and Methods Thirty-five patients were included in the study and received nonsurgical periodontal treatment according to necessity. Clinical data, periodontal data, and BP measurements were taken at baseline, periodontal re-evaluation visit (4–6 weeks after treatment), and 6-month follow-up.
Results Periodontal treatment caused a statistically significant reduction (p < 0.05) of systolic blood pressure (SBP) and diastolic blood pressure (DBP) at re-evaluation visit of 4.7 (p = 0.016) and 3.4 mm Hg (p = 0.015), respectively. The effect was maintained at 6-month follow-up visit with a reduction in SBP and DBP of 5.2 (p = 0.007) and 3.7 (p = 0.003) mm Hg, respectively.
Conclusion Despite the limitations of this study, it suggests that nonsurgical periodontal treatment can be effective in lowering BP levels in patients with prehypertension and periodontitis. Moreover, it highlights the importance of dentists in prevention, detection, and control of this important cardiovascular risk factor.
The characteristics of contemporary Chinese translation theory development: a systematic review of studies in core Chinese journals (2012–2022)
Authors: Qin Zhongshu , Cui Xuehai , Gao Xuesong 
Published: September 2023

AbstractResearchers have long problematized the prevalence of Eurocentrism in modern Western translation theory. Alternative theories have been developing across many contexts, including China. This review examines 153 theory-related articles in four leading indexed Chinese journals that publish studies on translation. We analyzed the selected articles to explore the patterns in the development of Chinese translation theory through the past decade. Our analysis identified three characteristics of the development of Chinese translation theory: (1) Chinese translation theory developed under a heavy Western influence; (2) translation theories developed by translators; and (3) "theory"-related theoretical development on translation. These insights may help readers who do not have direct access to translation studies published in the Chinese language to better appreciate evolving translation theories that may counteract the inadequacy of Eurocentric approaches.
A systematic review of retractions in biomedical research publications: reasons for retractions and their citations in Indian affiliations
Authors: Sharma Pratibha , Sharma Bhavya , Reza Asad , Inampudi Krishna Kishore , Dhamija Rajinder K 
Published: September 2023

AbstractRetractions of peer-reviewed biomedical journal articles with Indian authorship have been on the rise for many years. Our study aimed to investigate the reason behind these retractions, namely plagiarism, falsification, fabrication, duplicate publication, author conflicts, ethical issues, fake peer-reviews, and data-related issues, besides providing year-wise trends regarding retraction, authorship, impact factor, and citations. We retrieved retracted publications with Indian affiliations indexed in MEDLINE between 1 January 1990 to 31 December 2021. During this period a total of 619 papers from 372 different journals with median values (interquartile range) pertaining to impact factor [3.2 (1.5, 5.2)], retraction time [24 (10, 51)] months, pre-retraction citations [4 (1, 12)], and post-retraction citations [4 (2, 12)] were retracted. While retractions still account for a small fraction of all publications (0.1%), the overall rate of retractions, that is, the number of retractions relative to the number of newly published journal articles in a given year, has been increasing. The reasons for retractions included plagiarism (27%), falsification and fabrication (26%), duplicate publication (21%), erroneous data (12%), authorship issues (4%), fake-peer reviews (3%), and ethical and funding issues (2%). We have analysed these reasons separately and compared them with each other. Besides a spurt in retraction due to plagiarism, instances of falsification have been escalating over the past decade. Half of the papers retracted on grounds of falsification were published by repeat offender authors in high-impact journals. Furthermore, 82% of retracted papers continued to accumulate citations even after the release of the journal retraction notices. The increase in retractions raises concerns over research quality as well as the wastage of scientific resources, which is especially pressing considering the present environment of scarce funding. The problem of retractions due to reasons such as plagiarism, duplicate publication, authorship issues, and, ethical issues as well as post-retraction citations can be mitigated by educating and raising awareness on publication ethics and responsible research conduct of researchers and journal publishers. Retractions due to fabrication, falsification, and fake peer reviews are more challenging to difficult to address and require further research for the identification of effective solutions.
Final report of APMP.AUV.V-K3.1: Key comparison in the field of acceleration on the complex voltage sensitivity
Authors: Tu Tsung-Hsien , Kuo Shu-Fen , Chen Jiun-Kai , Yang Lifeng , Rattanangkul Pairoj , Lee Yong-Bong , Veldman Ian , Garg Naveen , Hung Chen-Yun 
Published: September 2023

Main text
This report presents the results of the APMP comparison in the area of 'vibration', which here refers to the calibration of the accelerometer standards set in compliance with method 1 or method 3 as recommended in the international standard ISO 16063-11:1999.The participants have reached a consensus and considered the most appropriate method, then referred to CCAUV.V-K3 report, the weighted mean and the degrees of equivalence were evaluated for this particular comparison. The calculation of the key weighted mean was in accordance with the Guidelines for CIPM key comparisons.The "linking" procedure was applied to establish the relationship between the results of the participants and those of the CIPM comparison in the field of vibration, which was CCAUV.V-K3. Only one pilot laboratory, NIM, acted as the linking laboratory. The linking factors were defined as the ratio and difference for magnitude and phase shift respectively through the NIM results in CCAUV.V-K3 and APMP.AUV.V-K3.1. Using the linking factors, this RMO results of six participants were directly compared with the results of CCAUV.V-K3.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCAUV, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Ferroelectric polarization tailored spin polarized electronic structure and magnetic anisotropy in two-dimensional ScSi2N4/CuInP2S6 multiferroic heterostructures
Authors: Zhao Zhenxian , Wang Xiaocha , Mi Wenbo 
Published: September 2023

Abstract
Two-dimensional (2D) van der Waals (vdW) multiferroic heterostructures which consist of vdW intrinsic magnets and ferroelectrics (FEs) plays an extremely important role in novel 2D spintronic devices. In this paper, the electronic structure and magnetic anisotropy of 2D vdW ScSi2N4/CuInP2S6 heterostructure are systematically investigated using first-principles calculation. CuInP2S6 is a 2D FE material with out-of-plane polarization, and ScSi2N4 is a half-metal with ferromagnetic (FM) properties. After the ab initio molecular dynamics simulations, the structures of upward polarization (P↑) and downward polarization (P↓) states are stable. Both the P↑ and P↓ states of ScSi2N4/CuInP2S6 heterostructure are FM half-metals. Biaxial strains modulate the electronic structure and magnetic properties of the ScSi2N4/CuInP2S6 heterostructure. With the application of compressive strains in P↓ state, the spin-up band crosses Fermi level and the P↓ state changes from half-metal to metal. The transition from half-metal to metal in P↑ state is realized at ϵ = −4% and ϵ = −6%. The magnetic anisotropy energy of the P↓ state can be enhanced by compressive strains of −2% and −4%. The P↓ state shows the largest average planar electrostatic potential of 0.819 eV at ϵ = −6%, which keeps the maximum electrostatic field between ScSi2N4 and CuInP2S6 monolayers. As the strain increases from −2% to −6%, the potential difference of P↑ state increases gradually. At +6% tensile strain, the band structure inversion occurred in both P↑ and P↓ states. These results demonstrate the potential of 2D vdW multiferroic heterostructures and can enrich the field of spintronic devices.