bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on short-term forecasting of power load based on big data BP neural network
Authors: Wang Haiji , Lu Xueying 
Published: December 2022

Abstract
The power network system is an indispensable part of the economy development, which directly affects the stable operation of various industries and people’s daily life. During the stable operation of the power system, the prediction of the power load plays an important role in the load scheduling of the power system. Aiming at the problem of short-term load forecasting of power system, this paper established a short-term forecasting model of power load based on the BP neural network forecasting model through the collection of big data and modified the network weights and thresholds through model training. Finally, a short-term prediction of the power load of a certain community was carried out. The results show that the prediction model based on BP neural network can accurately predict the short-term power load with small prediction errors and good prediction performance. It can meet the precision requirements of power system operation scheduling.
A Permission Control Assistant Tool Design for Smart Power Terminals
Authors: Xu Bin , Zhai Feng , Liang Xiaobing , Cao Yongfeng , Gao Bo 
Published: December 2022

Abstract
With the rapid development of smart power terminals equipped with embedded operating systems, business APPs have emerged rapidly along with them. Since various business APPs have excessive access to system resources, this will lead to the waste of system resources, and at the same time, the system security is not guaranteed. Therefore, in this paper, based on the context-aware program access control hardware resource framework, an auxiliary tool is designed to control the access of business APPs with excessive authority. The auxiliary tool trains the model through the steps of training sample collection, sample data processing, feature extraction, parameter selection, and model training. By conducting simulation experiments, the results show that by using the auxiliary tool proposed in this paper, the device can well identify the business APPs with excessive privileges and reduce the abuse of related resources with a small load, which has almost negligible impact on the users’ usage.
Calculation method of the bell insulator to double-shed insulator contamination ratio based on the evaluation accuracy of area pollution level
Authors: Wang Yaoping , Li Te , Wu Qiang , Wang Zhenguo , Li Wenhui , Ma Xun , Wang Yu 
Published: December 2022

Abstract
In order to make full use of the ESDD test data of on-site bell insulators to evaluate the area pollution level, a new calculation method of the bell insulator to double-shed insulator contamination ratio is proposed, which is based on the principle of minimizing the misjudgment of the area pollution level. Natural contamination test was carried out in Taizhou, Zhejiang province, and the contamination ratio was calculated based on the test data. According to the probability distribution model of test data, 10,000 sample data are randomly generated for verification. The results show that the misjudgment rate of pollution area of the proposed method is 21.41%, which is lower than the traditional method of taking the arithmetic average or geometric average for several test points.
Fault Detection of Wind Turbine Pitch Motors Based on Ensemble Learning Approach
Authors: Yin Xiaoyan , Fan Yupeng , Qin Yi , Jiang Haojie , Jiang Hao , Ye Xiang 
Published: December 2022

AbstractMachine learning-based condition monitoring of wind turbines’ critical components is an active area of research, especially for pitch systems, which suffer from a high failure rate. In this work, we successfully predicted and detected the high-temperature fault of the electric pitch motor by analyzing SCADA data through the ensemble learning-based approach. For that, normal behavior models to predict pitch motor temperature were constructed respectively for three pitch motors by gradient boosting tree regression. Residual evolution before the reported high-temperature fault was studied by the sliding window approach. A Shewhart control chart was applied to detect the anomalies of temperature. The proposed approach successfully gave an early warning for the potential high-temperature fault of electric pitch motors around ten days prior to the SCADA system.
Power Grid Dispatching Optimization Assistant Decision-making Model Based on Deep Learning
Authors: Zhou Zhifeng , Zhu Wen , Jiang Wei 
Published: December 2022

Abstract
At present, the power grid dispatching assistant decision-making model relies on the model-driven solution method, which leads to too long a calculation time. Therefore, an auxiliary decision-making model for power grid dispatching optimization based on a deep learning algorithm is proposed. The objective function of power grid dispatching optimization is defined for the power grid connected with multiple renewable energy sources. Relying on cloud computing technology, the power grid dispatching and monitoring data are obtained and saved as different knowledge systems. The long and short-term memory network is selected from the deep learning field, and the Bi-LSTM network structure unit is designed. The scheduling decision model is constructed using the bi-layer Bi-LSTM neural network, and the optimal scheduling decision is obtained by deep learning of the historical scheduling data. The calculation results show that the longest time of the model is 0.04s. The shortest time is only 0.02s, which improves the efficiency of auxiliary decision-making and enhances the stability of power grid operation to a certain extent.
Power Grid Dispatching Data Identification Method Based on Deep Packet Detection
Authors: Zhao Enlai , Su Xinlei , Wang Yuling , Liu Pengyuan , Yang Jun , Pan Shitong 
Published: December 2022

Abstract
It is difficult for the conventional data identification model to interconnect with the open system, and the identification deviation cannot be controlled, resulting in the gradual increase of the false alarm rate. Therefore, the research and verification of the power grid dispatching data identification method based on deep packet detection are proposed. According to an identification standard, dynamically mark and screen the abnormal data in the process and then mark a model identification position according to the obtained identification characteristics. It interconnects a deep packet inspection program with an open system, reduces the control range and the identification deviation, realizes the design of a deep packet inspection data identification model, and finally carries out secondary identification of the data. And that data identification is completed by adopting a depth parallel correction method. The final test results show that the final false alarm rate of the designed deep packet detection power grid dispatching data identification test group is relatively low, which is better controlled below 10%, which indicates that in the process of practical application, the identification deviation of the power grid dispatching data is low. The pertinence is stronger, and the time consumed is greatly reduced, which has practical application significance.
Design and evaluation of an MRF damper for semi-active vibration control of the machining processes
Authors: Warke Vivek , Kumar Satish , Bongale Arunkumar , Kotecha Ketan 
Published: December 2022

Abstract
Cutting forces and vibrations generated during machining significantly affects the cutting tool and the integrity of the workpiece surface. Therefore, it is necessary to control or reduce those vibrations. Among the different vibration control methods, semi-active and active vibration control approaches are more effective than traditional methods. Also, with recent advancements in smart fluids and materials, the Magnetorheological fluid has gained attention in semi-active vibration control. In the present study, the novel monotube MRF damper is designed, fabricated, and evaluated for use in an end-milling process. The MRF damper has higher radial dimensions to develop a large damping force and reduce system complexity. The performance of a developed MRF damper is analyzed using the Bouc-Wen model, whose parameters are tuned for the developed MRF damper and validated experimentally under the different excitation currents, frequencies, and amplitude. The experimental and simulated damping forces are well agreed with each other, having a range of 13%–17%. The damper provides a maximum damping force of 1700 N under the excitation current of 2 A, and a frequency of 1 Hz at the amplitude of 8 mm. Moreover, it was also observed that the excitation current has a higher influence on the damping force than the frequency and amplitude. Thus, the developed MRF is further used in end-milling to reduce the cutting forces generated during the material removal, which shows that vibration damping significantly reduces 40%–65% of the cutting forces generated during the normal end-milling operation.
Trends in tree cover change over three decades related to interannual climate variability and wildfire in California
Authors: Dwomoh Francis K , Auch Roger F , Brown Jesslyn F , Tollerud Heather J 
Published: December 2022

Abstract
The U.S. State of California has experienced frequent drought events, hotter temperatures and other disruptions to the climate system whose effects on ecosystems have been widely reported in recent decades. Studies primarily confined to specific vegetation communities or species, individual drought incidents, or analysis over a relatively short intervals, has limited our understanding of the broad-scale effects on tree cover and the spatiotemporal variability of effects across broader regions. We focused analysis on multi-annual land cover and land surface change to assess patterns and trends in tree cover loss in tree-dominated Californian ecoregions from 1986 to 2019. The top three years of total tree cover loss for the state were 2018 (1901 km2), 2015 (1556 km2), and 2008 (1549 km2). Overall, annual tree cover loss had upward trends. Tree cover loss rapidly surged later in the study period and was apparently driven by climate stress and wildfires. Underlying geographic variability was apparent in both non-fire and fire-related tree cover loss that sharply increased during hotter multi-year droughts. The increasingly hotter and drier climate conditions were associated with significant increases in fire-induced mortality. Our findings indicate that a possible effect of future hotter and drier climate would lead to further tree cover loss, thereby endangering California’s ecosystem goods and services. Geographic variability in tree cover trends indicates that ecoregion-specific mitigation and adaptation strategies would be useful to conserve the region’s forest resources. Such strategies may benefit from consideration of historical disturbances, ecoregion’s sensitivity to disturbance types, as well as potential ecoregion-specific climate-vegetation-fire feedbacks.
Magnetic excitations in the one-dimensional Heisenberg–Ising model with external fields and their experimental realizations
Authors: Yang Jiahao , Wang Xiao , Wu Jianda 
Published: December 2022

Abstract
The one dimensional (1D) spin-1/2 Heisenberg–Ising model, a prototype quantum many-body system, has been intensively studied for many years. In this review, after a short introduction on some basic concepts of group theory for the octahedral group, a detailed pedagogical framework is laid down to derive the low-energy effective Hamiltonian for the Co-based materials. The 1D spin-1/2 Heisenberg–Ising model is obtained when applying the analysis to quasi-1D antiferromagnetic materials

BaCo

2

V

2

O

8

and

SrCo

2

V

2

O

8

. After the preparation, we review the theoretical progresses of a variety of novel magnetic excitations and emergent physics in the 1D spin-1/2 Heisenberg–Ising model, and further summarize their recent experimental realizations.
Genome-wide association analysis identifies a susceptibility locus for sporadic vestibular schwannoma at 9p21
Authors: Sadler Katherine V , Bowes John , Rowlands Charlie F , Perez-Becerril Cristina , van der Meer C Mwee , King Andrew T , Rutherford Scott A , Pathmanaban Omar N , Hammerbeck-Ward Charlotte , Lloyd Simon K W , Freeman Simon R , Williams Ricky , Hannan Cathal John , Lewis Daniel , Eyre Steve , Evans D Gareth , Smith Miriam J 
Published: December 2022

Abstract
Vestibular schwannomas are benign nerve sheath tumours that arise on the vestibulocochlear nerves. Vestibular schwannomas are known to occur in the context of tumour predisposition syndromes NF2-related and LZTR1-related schwannomatosis. However, the majority of vestibular schwannomas present sporadically without identification of germline pathogenic variants.
To identify novel genetic associations with risk of vestibular schwannoma development, we conducted a genome-wide association study in a cohort of 911 sporadic vestibular schwannoma cases collated from the neurofibromatosis type 2 genetic testing service in the north-west of England, UK and 5500 control samples from the UK Biobank resource. One risk locus reached genome-wide significance in our association analysis (9p21.3, rs1556516, P = 1.47 × 10−13, odds ratio = 0.67, allele frequency = 0.52).
9p21.3 is a genome-wide association study association hotspot, and a number of genes are localized to this region, notably CDKN2B-AS1 and CDKN2A/B, also referred to as the INK4 locus. Dysregulation of gene products within the INK4 locus have been associated with multiple pathologies and the genes in this region have been observed to directly impact the expression of one another. Recurrent associations of the INK4 locus with components of well-described oncogenic pathways provides compelling evidence that the 9p21.3 region is truly associated with risk of vestibular schwannoma tumorigenesis.
Designing Scenarios for In-Organization Training Using the CyberCIEGE Game
Authors: Saeed Mozamel M 
Published: December 2022

Abstract
Cyber security awareness training needs to be personalized to address the policies and requirements of a particular organization, although many of the concepts in this training practice are universal. The main reason for the failure of training programs is that the users do not think about applying security concepts. Therefore, the study aims to design scenarios for in-organization training using CyberCEIGE. In this context, CyberCIEGE is considered a flexible and highly interactive video game that is a security awareness tool. It is responsible for supporting organizational training objectives in an engaging security adventure in the presence of typical users. This game has shown success in utilizing information assurance education. The present study indicates that CyberCIEGE is effective in basic information awareness training programs for security purposes, such as the balance between corporate convenience and individual privacy.
Low leukocyte mitochondrial DNA abundance drives atherosclerotic cardiovascular diseases: a cohort and Mendelian randomization study
Authors: Luo Jiao , Noordam Raymond , Jukema J Wouter , van Dijk Ko Willems , Hägg Sara , Grassmann Felix , le Cessie Saskia , van Heemst Diana 
Published: December 2022

Abstract

Aim
Mitochondrial DNA dysfunction has been implicated in the pathogenesis of cardiovascular diseases. We aimed to investigate the associations between leukocyte mitochondrial DNA (mtDNA) abundance, as a proxy of mitochondrial function, and coronary artery disease (CAD) and heart failure (HF) in a cohort study and approximate the causal nature of these relationships using Mendelian randomization (MR) in genetic studies.

Methods and results
Multivariable-adjusted Cox regression analyses were conducted in 273 619 unrelated participants of European ancestry from the UK Biobank (UKB). For genetic studies, we first performed MR analyses with individual-level data from the UKB using a weighted genetic risk score (GRS); two-sample MR analyses were subsequently performed using summary-level data from the publicly available three consortia/biobank for CAD and two for HF. MR analyses were performed per database separately and results were subsequently meta-analysed using fixed-effects models. During a median follow-up of 11.8 years, restricted cubic spline Cox regression analyses showed associations between lower mtDNA abundance and higher risk of CAD and HF. Hazard ratios for participants in the lowest quintile of mtDNA abundance compared with those in the highest quintile were 1.08 (95% confidence interval: 1.03, 1.14) and 1.15 (1.05, 1.24) for CAD and HF. Genetically, no evidence was observed for a possible non-linear causal effect using individual-level weighted genetic risk scores calculated in the UKB on the study outcomes; the pooled odds ratios (95% confidence interval) from two-sample MR of genetically predicted per one-SD decrease in mtDNA abundance were 1.09 (1.03, 1.16) for CAD and 0.99 (0.92, 1.08) for HF, respectively.

Conclusion
Our findings support a possible causal role of lower leukocyte mtDNA abundance in higher CAD risk, but not in HF.
Mechanisms of current therapeutic strategies for heart failure: more questions than answers?
Authors: Khan Muhammad Shahzeb , Shahid Izza , Greene Stephen J , Mentz Robert J , DeVore Adam D , Butler Javed 
Published: December 2022

Abstract
Heart failure (HF) is a complex, multifactorial and heterogeneous syndrome with substantial mortality and morbidity. Over the last few decades, numerous attempts have been made to develop targeted therapies that may attenuate the known pathophysiological pathways responsible for causing the progression of HF. However, therapies developed with this objective have sometimes failed to show benefit. The pathophysiological construct of HF with numerous aetiologies suggests that interventions with broad mechanisms of action which simultaneously target more than one pathway maybe more effective in improving the outcomes of patients with HF. Indeed, current therapeutics with clinical benefits in HF have targeted a wider range of intermediate phenotypes. Despite extensive scientific breakthroughs in HF research recently, questions persist regarding the ideal therapeutic targets which may help achieve maximum benefit. In this review, we evaluate the mechanism of action of current therapeutic strategies, the pathophysiological pathways they target and highlight remaining knowledge gaps regarding the mode of action of these interventions.
Cholesterol accumulation in macrophages drives NETosis in atherosclerotic plaques via IL-1β secretion
Authors: Yalcinkaya Mustafa , Fotakis Panagiotis , Liu Wenli , Endo-Umeda Kaori , Dou Huijuan , Abramowicz Sandra , Xiao Tong , Libby Peter , Wang Nan , Tall Alan R , Westerterp Marit 
Published: December 2022

Abstract

Aims
Neutrophil extracellular trap formation (NETosis) increases atherosclerotic plaque vulnerability and athero-thrombosis. However, mechanisms promoting NETosis during atherogenesis are poorly understood. We have shown that cholesterol accumulation due to myeloid cell deficiency of the cholesterol transporters ATP Binding Cassette A1 and G1 (ABCA1/G1) promotes NLRP3 inflammasome activation in macrophages and neutrophils and induces prominent NETosis in atherosclerotic plaques. We investigated whether NETosis is a cell-intrinsic effect in neutrophils or is mediated indirectly by cellular crosstalk from macrophages to neutrophils involving IL-1β.

Methods and results
We generated mice with neutrophil or macrophage-specific Abca1/g1 deficiency (S100A8CreAbca1fl/flAbcg1fl/fl or CX3CR1CreAbca1fl/flAbcg1fl/fl mice, respectively), and transplanted their bone marrow into low-density lipoprotein receptor knockout mice. We then fed the mice a cholesterol-rich diet. Macrophage, but not neutrophil Abca1/g1 deficiency activated inflammasomes in macrophages and neutrophils, reflected by caspase-1 cleavage, and induced NETosis in plaques. NETosis was suppressed by administering an interleukin (IL)-1β neutralizing antibody. The extent of NETosis in plaques correlated strongly with the degree of neutrophil accumulation, irrespective of blood neutrophil counts, and neutrophil accumulation was decreased by IL-1β antagonism. In vitro, IL-1β or media transferred from Abca1/g1-deficient macrophages increased NETosis in both control and Abca1/Abcg1 deficient neutrophils. This cell-extrinsic effect of IL-1β on NETosis was blocked by an NLRP3 inhibitor.

Conclusion
These studies establish a new link between inflammasome-mediated IL-1β production in macrophages and NETosis in atherosclerotic plaques. Macrophage-derived IL-1β appears to increase NETosis both by increasing neutrophil recruitment to plaques and by promoting neutrophil NLRP3 inflammasome activation.
Experimental Life History Evolution Results in Sex-specific Evolution of Gene Expression in Seed Beetles
Authors: Immonen Elina , Sayadi Ahmed , Stojković Biljana , Savković Uroš , Đorđević Mirko , Liljestrand-Rönn Johanna , Wiberg R Axel W , Arnqvist Göran 
Published: December 2022

AbstractThe patterns of reproductive timing and senescence vary within and across species owing to differences in reproductive strategies, but our understanding of the molecular underpinnings of such variation is incomplete. This is perhaps particularly true for sex differences. We investigated the evolution of sex-specific gene expression associated with life history divergence in replicated populations of the seed beetle Acanthoscelides obtectus, experimentally evolving under (E)arly or (L)ate life reproduction for &gt;200 generations which has resulted in strongly divergent life histories. We detected 1,646 genes that were differentially expressed in E and L lines, consistent with a highly polygenic basis of life history evolution. Only 30% of differentially expressed genes were similarly affected in males and females. The evolution of long life was associated with significantly reduced sex differences in expression, especially in non-reproductive tissues. The expression differences were overall more pronounced in females, in accordance with their greater phenotypic divergence in lifespan. Functional enrichment analysis revealed differences between E and L beetles in gene categories previously implicated in aging, such as mitochondrial function and defense response. The results show that divergent life history evolution can be associated with profound changes in gene expression that alter the transcriptome in a sex-specific way, highlighting the importance of understanding the mechanisms of aging in each sex.