bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural and functional investigations of syn-copalyl diphosphate synthase from Oryza sativa
Authors: Ma Xiaoli , Xu Haifeng , Tong Yuru , Luo Yunfeng , Dong Qinghua , Jiang Tao 
Published: November 2023

AbstractThe large superfamily of labdane-related diterpenoids is defined by the cyclization of linear geranylgeranyl pyrophosphate (GGPP), catalyzed by copalyl diphosphate synthases (CPSs) to form the basic decalin core, the copalyl diphosphates (CPPs). Three stereochemically distinct CPPs have been found in plants, namely (+)-CPP, ent-CPP and syn-CPP. Here, we used X-ray crystallography and cryo-EM methods to describe different oligomeric structures of a syn-copalyl diphosphate synthase from Oryza sativa (OsCyc1), and provided a cryo-EM structure of OsCyc1D367A mutant in complex with the substrate GGPP. Further analysis showed that tetramers are the dominant form of OsCyc1 in solution and are not necessary for enzyme activity in vitro. Through rational design, we identified an OsCyc1 mutant that can generate ent-CPP in addition to syn-CPP. Our work provides a structural and mechanistic basis for comparing different CPSs and paves the way for further enzyme design to obtain diterpene derivatives with specific chirality.
CHEX-MATE: Characterization of the intra-cluster medium temperature distribution
Authors: Lovisari L. , Ettori S. , Rasia E. , Gaspari M. , Bourdin H. , Campitiello M. G. , Rossetti M. , Bartalucci I. , De Grandi S. , De Luca F. , De Petris M. , Eckert D. , Forman W. , Gastaldello F. , Ghizzardi S. , Jones C. , Kay S. , Kim J. , Maughan B. J. , Mazzotta P. , Pointecouteau E. , Pratt G. W. , Sayers J. , Sereno M. , Simonte M. , Tozzi P. 
Published: November 2023

Context. Galaxy clusters grow through the accretion of mass over cosmic time. Their observed properties are then shaped by how baryons distribute and energy is diffused. Thus, a better understanding of spatially resolved, projected thermodynamic properties of the intra-cluster medium (ICM) may provide a more consistent picture of how mass and energy act locally in shaping the X-ray observed quantities of these massive virialized or still collapsing structures.
Aims. We study the perturbations in the temperature (and density) distribution to evaluate and characterize the level of inhomogeneities and the related dynamical state of the ICM.
Methods. We obtain and analyze the temperature and density distribution for 28 clusters (2.4 × 1014 M⊙ < M500 < 1.2 × 1015 M⊙; 0.07 < z < 0.45) selected from the CHEX-MATE sample. We use these spatially resolved two-dimensional distributions to measure the global and radial scatter and identify the regions that deviate the most from the average distribution. During this process, we introduce three dynamical state estimators and produce “clean” temperature profiles after removing the most deviant regions.
Results. We find that the temperature distribution of most of the clusters is skewed towards high temperatures and is well described by a log-normal function. There is no indication that the number of regions deviating more than 1σ from the azimuthal value is correlated with the dynamical state inferred from morphological estimators. The removal of these regions leads to local temperature variations up to 10–20% and an average increase of ∼5% in the overall cluster temperatures. The measured relative intrinsic scatter within R500, σT, int/T, has values of 0.17−0.05+0.08, and is almost independent of the cluster mass and dynamical state. Comparing the scatter of temperature and density profiles to hydrodynamic simulations, we constrain the average Mach number regime of the sample to Ṁ3D = 0.36−0.09+0.16. We infer the ratio between the energy in turbulence and the thermal energy, and translate this ratio in terms of a predicted hydrostatic mass bias b, estimating an average value of b ∼ 0.11 (covering a range between 0 and 0.37) within R500.
Conclusions. This study provides detailed temperature fluctuation measurements for 28 CHEX-MATE clusters which can be used to study turbulence, derive the mass bias, and make predictions on the scaling relation properties.
Faktorielle und konvergente Validität der Kurzversion des
„Fragebogens zu Gedanken und Gefühlen“ (FGG-14) bei
Borderline-Persönlichkeitsstörung
Authors: Dippold Brigitte , Beller Johannes , Kröger Christoph , Dreyße Kathrin 
Published: November 2023

ZusammenfassungDer „Fragebogen zu Gedanken und Gefühlen“ (FGG) wird
sowohl als Screeninginstrument als auch zur Therapieplanung und -evaluation bei
PatientInnen mit Borderline-Persönlichkeitsstörung (BPS)
eingesetzt. Primäres Ziel der vorliegenden Studie war die Validierung
der zugrundeliegenden faktoriellen Struktur der 14 Items umfassenden Kurzversion
FGG-14. Zusätzlich sollten Itemcharakteristika, Reliabilität und
Hinweise auf konvergente Validität ermittelt werden. Eine diagnostisch
homogene Stichprobe von PatientInnen mit BPS (N=3035) einer
psychosomatischen Klinik erhielt verschiedene Selbstbeurteilungsinstrumente,
darunter den FGG-14. Das erwartete einfaktorielle Modell der Struktur des FGG
hatte keine ausreichende Güte der Modellfitindizes (CFI=0,751;
TLI=0,706; RMSEA=0,115; SRMR=0,073). Explorative
Faktorenanalysen zeigten Hinweise auf zwei oder drei spezifische Faktoren. In
einer erneuten konfirmatorischen Faktorenanalyse erwies sich ein
Bi-Faktor-Modell mit zwei spezifischen Faktoren als überlegen
(CFI=0,956; TLI=0,936; RMSEA=0,054; SRMR=0,034).
Die interne Konsistenz der Gesamtskala sowie der vorgeschlagenen Subskalen
„Beziehungsschwierigkeiten und emotionale Dysregulation“ sowie
„Autoaggression“ nahm akzeptable bis gute Werte
(ω=0,81–0,84; α=0,79–0,85) an.
Die Zusammenhänge zu konstruktnahen Skalen waren
erwartungsgemäß. Die psychometrischen Gütekriterien des
FGG-14 können damit bestätigt werden. Die Betrachtung der
Subskalen kann die Behandlungsplanung unterstützen.
Rhodium(III)-Catalyzed C–H Activation in Indole: A Comprehensive Report (2017–2022)
Authors: Gope Biplab , Mishra Anupam , Awasthi Satish K. 
Published: November 2023

AbstractIn the realm of synthetic organic chemistry, the catalysis of directed C–H activation by transition metals is an outstanding and efficient method for the synthesis of natural products, organic materials, and fundamental organic building blocks. Notably, this strategy has experienced remarkable advances in recent years, particularly in its application to various substrate classes, including the essential indole scaffold. Indole is a highly sought-after target in organic chemistry. The significance of indole extends beyond its use in total synthesis and drug discovery. It also serves as an important tool in the development of pharmaceutical agents, agrochemicals, and materials. By targeting indole, synthetic chemists can access a wide range of bioactive compounds, which opens new avenues for drug development and chemical biology research. The synthesis of structurally varied indoles has been greatly aided by the development of a comprehensive toolkit made possible by the use of C–H activation as a versatile functionalization platform. This review highlights the latest breakthroughs in rhodium-catalyzed C–H activation at the C2, C4, and C7 positions of the indole scaffold. These developments represent significant progress in the field and hold promising potential for further advances in the synthesis of indole-based compounds.1	Introduction2	The Development of Rhodium-Catalyzed C–H Activation3	General Mechanistic Introduction to Rh(III)-Catalyzed C–H Activation4	Direct C–H Functionalization of Indoles4.1	C2 Activation of Indoles4.2	C4 Activation of Indoles4.3	Dual C–H Activation Strategy4.4	C7 Activation of Indoles5	Conclusion
Quantum anomalous Hall phase and effective in-plane Lande-g factor in an inverted quantum well
Authors: Saha Sushmita , Mawrie Alestin 
Published: November 2023

Abstract
A suitable magnetic doped InAs/GaSb or HgTe/CdTe quantum well (QW) shows the coexistence of the quantum spin Hall and quantum anomalous Hall (QAH) phases. We study the topological transitions between these two topological states and confirm the possibility of the QAH phase through the calculations of quantum Hall conductance. The Hall plateau occurs at

e
2

/

h

rather than

2

e
2

/

h

at such a doping state indicating a QAH phase. Also, the latest experiment reported a robust quantized Hall conductance that persists in an in-plane magnetic field as strong as 12 Tesla. Based on the results of the cited experiment, we present here a precise calculation of the effective in-plane Lande-g factor. The paper predicts a certain range of controllable parameters in an inverted QW for enabling a dissipationless charge transport needed for spintronics application.
Contracting on average iterated function systems by metric change
Authors: Gelfert Katrin , Salcedo Graccyela 
Published: November 2023

Abstract
We study contraction conditions for an iterated function system (IFS) of continuous maps on a metric space which are chosen randomly, identically and independently. We investigate metric changes, preserving the topological structure of the space, which turn the IFS into one which is contracting on average. For the particular case of a system of C
1-diffeomorphisms of the circle which is proximal and does not have a probability measure simultaneously invariant by every map, we derive an equivalent metric which contracts on average and conclude that it carries a unique stationary probability measure. Here we strongly use local contraction properties established by Malicet in 2017, which then imply that the IFS has a negative random Lyapunov exponent and generalizes a result by Baxendale.
The Hodge decomposition of shell current on the Keda Torus eXperiment device
Authors: Chen Zheng , Li Hong , Yolbarsop Adil , Zhang Yuan , Yan Wentan , Rao Xianhao , Tao Zhen , Song Shuchen , Ren Shunrong , Tian Furen , Mao Wenzhe , Wei Zian , Liu Zixi , Zhou Chu , Liu Adi , Lan Tao , Xie Jinlin , Zhou Haiyang , Wen Xiaohui , Wang Hai , Zhuang Ge , Xiao Chijin , Ding Weixing , Liu Wandong 
Published: November 2023

Abstract
The Hodge decomposition is a valuable tool for uniquely decomposing total currents on the composite shell into three types: inductive current, halo current, and harmonic current, each with its specific physical meaning. During plasma disruptions, halo currents appear, essential for studying the wall’s thermal load and electromagnetic force. Furthermore, understanding halo currents is crucial for improving the existing methodologies by removing their effects on equilibrium reconstructions and instability analyses based on boundary magnetic probe data. On the Keda Torus eXperiment (KTX) device, radial and tangent halo currents can be simultaneously provided to locate the contact region during a minor disruption experimentally. Additionally, experimental results demonstrate that, in addition to the occurrence of halo current during minor disruption events, halo current is already present simultaneously with the generation of inductive current when a resistive wall mode exists. For devices that lack the capability to measure the two-dimensional shell current distribution on the entire shell, we propose a method to estimate inductive and halo currents only using a set of shell currents along the toroidal direction. This technique is demonstrated on the KTX device and provides an overall good approximation of the inductive and halo current distribution.
Overview of interpretive modelling of fusion performance in JET DTE2 discharges with TRANSP
Authors: Štancar Ž. , Kirov K.K. , Auriemma F. , Kim H.-T. , Poradziński M. , Sharma R. , Lorenzini R. , Ghani Z. , Gorelenkova M. , Poli F. , Boboc A. , Brezinsek S. , Carvalho P. , Casson F.J. , Challis C.D. , Delabie E. , Van Eester D. , Fitzgerald M. , Fontdecaba J.M. , Gallart D. , Garcia J. , Garzotti L. , Giroud C. , Kappatou A. , Kazakov Ye.O. , King D.B. , Kiptily V.G. , Kos D. , Lerche E. , Litherland-Smith E. , Maggi C.F. , Mantica P. , Mantsinen M.J. , Maslov M. , Menmuir S. , Nocente M. , Oliver H.J.C. , Sharapov S.E. , Sirén P. , Solano E.R. , Sun H.J. , Szepesi G. ,   JET Contributors
Published: November 2023

Abstract
In the paper we present an overview of interpretive modelling of a database of JET-ILW 2021 D-T discharges using the TRANSP code. The main aim is to assess our capability of computationally reproducing the fusion performance of various D-T plasma scenarios using different external heating and D-T mixtures, and to understand the performance driving mechanisms. We find that interpretive simulations confirm a general power-law relationship between increasing external heating power and fusion output, which is supported by absolutely calibrated neutron yield measurements. A comparison of measured and computed D-T neutron rates shows that the calculations’ discrepancy depends on the absolute neutron yield. The calculations are found to agree well with measurements for higher performing discharges with external heating power above ∼20

M
W

, while low-neutron shots display an average discrepancy of around +40% compared to measured neutron yields. A similar trend is found for the ratio between thermal and beam-target fusion, where larger discrepancies are seen in shots with dominant beam-driven performance. We compare the observations to studies of JET-ILW D discharges, to find that on average the fusion performance is well modelled over a range of heating power, although an increased unsystematic deviation for lower-performing shots is observed. The ratio between thermal and beam-induced D-T fusion is found to be increasing weakly with growing external heating power, with a maximum value of

≳

1 achieved in a baseline scenario experiment. An evaluation of the fusion power computational uncertainty shows a strong dependence on the plasma scenario type and fusion drive characteristics, varying between ±25% and 35%. D-T fusion alpha simulations show that the ratio between volume-integrated electron and ion heating from alphas is

≲

10 for the majority of analysed discharges. Alphas are computed to contribute between ∼15% and 40% to the total electron heating in the core of highest performing D-T discharges. An alternative workflow to TRANSP was employed to model JET D-T plasmas with the highest fusion yield and dominant non-thermal fusion component because of the use of fundamental radio-frequency heating of a large minority in the scenario, which is calculated to have provided ∼10% to the total fusion power.
Flexible DC distribution network fault location method based on beetle swarm optimization algorithm
Authors: Li Longjun , Xu Yan 
Published: November 2023

Abstract
To improve the fault location ability of the DC distribution network and ensure its power supply reliability, a fault location method based on the beetle swarm optimization algorithm is proposed. Firstly, the fault characteristics of the DC side after short-circuit fault are analyzed, and the mathematical model for fault location is established; then, the problem of fault location is transformed into the problem of parameter identification by discretization; finally, to verify the effectiveness of the method, a flexible DC distribution network model is built in MATLAB. The simulation results show that the proposed fault location method is accurate, not affected by the transition resistance, and has good robustness.
Short-term power load comparison based on time series and neural networks considering multiple features
Authors: Diao Ruihan , Lv Yang , Ding Yangyang 
Published: November 2023

Abstract
In order to achieve a certain balance between power supply and production demand, as well as to ensure the operation of social machinery and multiple markets, accurate power load forecasting is indispensable. A load prediction method based on the Convolutional Neural Network (CNN) - the Long Short-Term Memory (LSTM) and the CNN-gated Recurrent Unit (GRU) is proposed. The multi-feature load forecasting is constructed by the date factor, the weather factor, the load factor and the electricity price factor. The advantage of CNN in feature extraction of the data set is used to establish a high-dimensional relationship with load, optimize the input LSTM and GRU network model, train each group of the neural network model, and output load prediction value. Combining the load data of a certain area with its meteorological factors, the CNN-LSTM and CNN-GRU methods are tested and compared with the single-network models of Back Propagation (BP), LSTM and GRU. By comparing it with other popular algorithms, it is proved that the presented model has superior computational efficiency and prediction accuracy.
Optimization of ALU with gated clock and its internal modules in RVIM64 processor
Authors: Zhu Jing , Liu Huimin , Zhang Rong , Qu Jiale 
Published: November 2023

Abstract
Low power consumption and area are the main research directions of the RISC-V architecture processor, and the arithmetic logic operation unit (ALU) is the key part that affects the overall performance of the processor. In order to improve the performance of the RISC-V architecture processor, we adopted the strategy of reducing the overall power consumption and area of ALU, by using the method of adding a gated clock circuit and optimizing the structure of the comparison module and shift module in ALU. Under the conditions of 90 nm technology, the temperature and the voltage were set to 125 °C and 1 V respectively. The synthesis results of ALU are as follows: the area is 111061 um2, the power consumption is 20.58 MW, and the delay is 20.58 ps. Compared with other traditional ALU, the area is reduced by 46%, and power consumption is reduced by about 48%.
Interference analysis between NGSO systems based on the beam coverage and link angle
Authors: Zhang Yuqiao , Di Wu , Tao Hu 
Published: November 2023

Abstract
The existing interference assessment methods usually consider the special scenario of earth station coincidence. However, in practice, earth stations such as gate stations are sparsely distributed and often do not coincide. Aiming at the problem of how to efficiently calculate the co-frequency interference between Non-Geostationary Satellite Orbit (NGSO) systems with high complexity and a large amount of data, the influencing factors of interference scenes between NGSO systems with non-earth station coincidence are analyzed. The time-varying expression of the bit error rate (BER) of the interference evaluation index to measure the system performance is derived. An interference analysis method based on the beam coverage and link angle is proposed. In this method, four interference time-varying parameters are reduced to two. One of them is associated with the distance between earth stations, which is used to rapidly evaluate the probability of harmful interference between NGSO systems. It provides a reference for the construction of the spacing of earth stations.
High-precision Low-power Low-temperature Drift Dropout Voltage Cancellation Oscillator
Authors: Zhang Rongwei , Huang Shengming 
Published: November 2023

Abstract
As electronic products continue to develop, the requirements for the accuracy of integrated circuits continue to increase. Oscillators play a more important role in integrated circuits, and higher requirements are placed on the power consumption as well as the accuracy of oscillators. In this paper, a high-precision and low-power consumption RC oscillator is designed. The oscillator in this paper consists of a bias module and a capacitor charging and discharging module and provides bias current and voltage with temperature coefficient through bandgap to reduce the change of oscillator operating frequency caused by the increase of ambient temperature in traditional oscillators, which improves the oscillator operating state under different temperatures and the accuracy of the oscillator. The single comparator oscillator structure is also designed to effectively eliminate the effect of the dropout voltage on the oscillation period. The oscillator is simulated by using the MGN 0.18 μm process.
Energy Balance Control of Energy Storage System Based on Improved Virtual DC Motor
Authors: Kang Guohang , Fang Wei , Li Mingyue 
Published: November 2023

Abstract
Energy storage units have a big role in microgrids. To enhance the inertia of the DC microgrid while achieving energy balancing of each energy storage system, an energy balancing control of the energy storage system with virtual DC motor characteristics is proposed. By adding the VDCM technique to the traditional constant voltage control and adding the SoC information of the respective energy storage system to the virtual armature induction potential of the armature loop equation in the VDCM control, compared to existing controls, this control method can enhance DC microgrid inertia while balancing the SoC of the energy storage system, as well as charging and discharging mode switching without changing the control strategy. Finally, a multi-storage DC microgrid model is built in Matlab/Simulink, and the feasibility of the method is verified by simulation.
SOC estimation of lithium-ion batteries based on the improved Kalman filter
Authors: Chen Nan , Han Yaoxuan , Chen Renhui 
Published: November 2023

Abstract
Nowadays, the environmental crisis and energy crisis have been known by people around the world as issues that have to be taken seriously. It is recognized that electric vehicles are more environmentally friendly than traditional fuel cars, but there are still many immature aspects of electric vehicle technology. Battery technology is one of them, and lithium battery is a common power storage tool for electric vehicles. Therefore, it is very important to monitor the status of the battery pack in real-time. Improving the practical capacity, safety, and service life of lithium batteries all have an important impact on the development of electric vehicles. In battery management systems (BMS), the accurate prediction of the battery state of charge (SOC) is particularly important. In this paper, the 18650 lithium battery was selected for the research experiment, and the circuit model of second-order RC was selected. Modeling by MATLAB, the SOC-OCV curve of the battery was determined through the data obtained from the charging and discharging experiment (HPPC), the original least squares method was improved, the forgetting factor was introduced, and the model was identified by the parameters based on the experimental data. The traditional SOC prediction method added noise adaptive rules and iterative theory in the extended Kalman filter(EKF), formed the adaptive Kalman filter (AIEKF) to estimate the SOC of lithium battery, and estimated the SOC using the American urban road cycle (UDDS) data. The results show that the AIEKF algorithm has fewer errors and advantages than the traditional EKF algorithm.
Rapid Analysis of Bent Cable Crosstalk Based on Numerical Calculation
Authors: Lu Chang , Wen Yinghong , Zhang Dan 
Published: November 2023

Abstract
In this paper, a fast prediction method of cable crosstalk is introduced, which can simulate the crosstalk problem more accurately in the actual cable situation. The traditional flexible cable model considers few factors to truly reflect the spatial pose of the cable. In this paper, constraints of the assembly space are considered to truly reflect the structural characteristics of the cable, providing a theoretical basis for cable bundle layout in the virtual environment. Based on the element method and the theory of multi-conductor transmission lines, the crosstalk coupling model of curved cable is established. In this model, the traditional multi-conductor transmission line theory is improved, and the bending cable bundle model is divided into several equivalent subsegments by using the element method. In the subsegment, the multi-conductor transmission line theory is used for modeling, and the chain parameter method is used for crosstalk coupling analysis. The accuracy of the model introduced in this paper is verified by MATLAB and CST Studio simulation.