bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can place-based policy reduce carbon emissions? Evidence from industrial transformation and upgrading exemplary zone in China
Authors: Feng Yuan , Wang Liyuan , Nie Changfei 
Published: July 2024

AbstractThe effect of the place-based policies on sustainable development has received substantial attention in economic research. In China, the industrial transformation and upgrading exemplary zone policy is a prominent example of such policies, as it targets old industrial and resource-based cities. The paper provides an early assessment of the policy’s capability to reduce carbon emissions. Specifically, we use data from old industrial and resource-based cities for the period of 2012–2019 and apply the difference-in-differences method to examine the policy’s influence on total carbon emissions and intensity. The results show that the policy can effectively reduce carbon emissions through reducing energy consumption, promoting urban green innovation and tertiary industry agglomeration. Compared to resource-based cities, cities with a low level of economic development and central, western cities, this impact is more notable in old industrial cities, cities with a high level of economic development and eastern cities. Additional analysis reveals that the policy has beneficial spatial radiation impacts on the nearby cities as well. In the meanwhile, the strategy may have a synergy effect on reducing carbon emissions and pollution. The results of this study may have an impact on how nations implement place-based policies and reduce carbon emissions.
Microprotozooplankton as eutrophication bioindicator for tropical coastal lagoons
Authors: Rocha Gustavo Martins , de Carvalho e Féres Jordana , Kandler Gustavo Meira , Cagnin Renata Caiado , da Silva César Alexandro , Rodrigues Sarah Karoline , Lehrback Bethânia Dal’Col , Gramlich Kamila Cezar , Neto Renato Rodrigues , Sá Fabian , Fernandes Luiz Fernando Loureiro 
Published: July 2024

Context and aims A reliable bioindicator index of eutrophication is still lacking for monitoring zooplankton in saline, coastal lagoons. We aimed to establish plankton bioindicators of eutrophication that are not affected by salinity variation, which is essential for environmental monitoring of coastal lagoons. Methods Sampling was conducted for microprotozooplankton, chlorophyll-a, nutrients and sterols in eight tropical coastal lagoons with different saline and nutrient concentrations. A testate amoeba and rotifer bioindication index of eutrophication (T&R index) was proposed after establishing a list of indicator species on the basis of five statistical criteria and one bibliographic criterion. Key results Selected species, based on the six criteria, were Arcella hemisphaerica, Brachionus plicatilis, Galeripora (Arcella) discoides, Netzelia corona, Lecane closterocerca, Lepadela patella and Testudinela patina. Biodiversity measures, traditionally used in biomonitoring, varied negatively with salinity (r = −0.60 for Margalef richness and −0.59 for Shannon diversity) and were not correlated with nutrient concentrations. Conversely, the T&R index showed no correlation with salinity (r = 0.002) and was positively correlated with the trophic-state index (TSI) (r = 0.62). Conclusions and implications Our results showed that specific patterns of indicator microprotozooplankton species can effectively diagnose organic pollution in coastal lagoons and their use is a more suitable approach than is the use of community indicators such as richness, evenness and diversity, traditionally used for that task.
Rydberg-Atom Terahertz Heterodyne Receiver with Ultrahigh Spectral Resolution
Authors: She 佘 Zhenyue 圳跃 , Zhu 祝 Xiaojie 孝杰 , Lin 林 Yayi 雅益 , Li 李 Xianzhe 显喆 , Yang 杨 Xiaolin 小林 , Shang 尚 Yanfei 燕飞 , Teng 滕 Yuqin 玉勤 , Tu 涂 Haitao 海涛 , Liao 廖 Kaiyu 开宇 , Zhang 张 Caixia 彩霞 , Liu 刘 Xiaohong 笑宏 , Chen 陈 Jiehua 杰华 , Huang 黄 Wei 巍 
Published: July 2024

Abstract
Terahertz heterodyne receivers with high sensitivity and spectral resolution are crucial for various applications. Here, we present a room-temperature atomic terahertz heterodyne receiver that achieves ultrahigh sensitivity and frequency resolution. At a signal frequency of 338.7 GHz, we obtain a sensitivity of 2.88 ± 0.09 μV⋅cm−1⋅Hz−1/2 for electric field measurements. The calibrated linear dynamical range spans approximately 89 dB, ranging from −110 dBV/cm to −21 dBV/cm. We demodulate a 400 symbol stream encoded in 4-state phase-shift keying, demonstrating excellent phase detection capability. By scanning the frequency of the local oscillator, we realize a terahertz spectrometer with Hz level frequency resolution. This resolution is more than two orders of magnitude higher than that of existing terahertz spectrometers. The demonstrated terahertz heterodyne receiver holds promising potential for working across the entire terahertz spectrum, significantly advancing its practical applications.
Exciton Bose–Einstein Condensation in Transition Metal Dichalcogenide Monolayer under In-Plane Magnetic Fields
Authors: Wang 王 Dengfeng 登峰 , Chen 陈 Yingda 颖达 , Niu 牛 Zhi-Chuan 智川 , Lou 娄 Wen-Kai 文凯 , Chang 常 Kai 凯 
Published: July 2024

Abstract
Based on the Gross–Pitaevskii equation, we theoretically investigate exciton Bose–Einstein condensation (BEC) in transition metal dichalcogenide monolayers (TMDC-MLs) under in-plane magnetic fields. We observe that the in-plane magnetic fields exert a strong influence on the exciton BEC wave functions in TMDC-MLs because of the mixing of the bright and dark exciton states via Zeeman effect. This leads to the brightening of the dark exciton BEC states. The competition between the dipole–dipole interactions caused by the long-range Coulomb interaction and the Zeeman effect induced by the in-plane magnetic fields can effectively regulate dark exciton BEC states. Our findings emphasize the utility of TMD-MLs as platforms for investigating collective phenomenon involving excited states.
Quantum group intertwiner space from quantum curved tetrahedron
Authors: Han Muxin , Hsiao Chen-Hung , Pan Qiaoyin 
Published: July 2024

Abstract
In this paper, we develop a quantum theory of homogeneously curved tetrahedron geometry, by applying the combinatorial quantization to the phase space of tetrahedron shapes defined in Haggard et al (2016 Ann. Henri Poincaré
17 2001–48). Our method is based on the relation between this phase space and the moduli space of SU(2) flat connections on a 4-punctured sphere. The quantization results in the physical Hilbert space as the solution of the quantum closure constraint, which quantizes the classical closure condition

M
4

M
3

M
2

M
1

=
1

,

M
ν

∈

SU

(
2
)

, for the homogeneously curved tetrahedron. The quantum group

U

q

(

su

(
2
)
)

emerges as the gauge symmetry of a quantum tetrahedron. The physical Hilbert space of the quantum tetrahedron coincides with the Hilbert space of 4-valent intertwiners of

U

q

(

su

(
2
)
)

. In addition, we define the area operators quantizing the face areas of the tetrahedron and compute the spectrum. The resulting spectrum is consistent with the usual Loop-Quantum-Gravity area spectrum in the large spin regime but is different for small spins. This work closely relates to 3+1 dimensional Loop Quantum Gravity in presence of cosmological constant and provides a justification for the emergence of quantum group in the theory.
Model of non-equilibrium near-cathode plasma layers for simulation of ignition of high-pressure arcs on cold refractory cathodes
Authors: Santos D F N , Almeida N A , Benilova L G , Benilov M S 
Published: July 2024

Abstract
The introduction of secondary ion-electron emission into an approximate model of non-equilibrium plasma layers on hot (thermionic) cathodes of high-pressure arc discharges allows extending the model to low cathode surface temperatures. Analysis of evaluation results shows that the extended model describes glow-like discharges on cold cathodes and thermionic arc discharges on hot cathodes, as it should. In the course of glow-to-arc transitions on cold cathodes, a transient regime occurs where a hot arc spot has just formed and a significant fraction of the current still flows to the cold surface outside the spot, so that the near-cathode voltage continues to be high. The power input in the near-cathode layer is very high in this regime, and so is the electron temperature in the near-cathode region. The mean free path for collisions between the atoms and the ions in these conditions exceeds the thickness of the layer where the ion current to the cathode is generated. A new method for evaluation of the ion current under such conditions is implemented. The developed model is applicable for cathode surface temperatures below the boiling point of the cathode material and may be used for multidimensional simulations of ignition of high-current arcs on refractory cathodes.
Fault diagnosis of control valves based on small-sample hybrid physics improved Resnet
Authors: Xiaolin Wang , Hongkun Li , Zhihua Cheng 
Published: July 2024

Abstract
Pneumatic control valves, as vital components of industrial process automation, ensure the smooth operation of industrial production systems. However, they are susceptible to various malfunctions due to harsh working environments and complex transmission media, which can significantly impact production safety and efficiency. To address the challenge of obtaining fault data in actual operational settings, we constructed a fault test bench for pneumatic control valves and simulated a variety of fault conditions. We collected 421 fault data samples across four valve opening conditions, categorizing them into 27 distinct states with varying sample sizes, averaging 3–4 samples per state. To tackle the small-sample issue, we proposed a data augmentation method using periodic extension, validated through comparative analysis with other algorithms. Additionally, we innovatively analyze the data flow of pneumatic control valves and explore the relationships between different parameters. Based on these relationships, the input structure of the residual network is optimized. The above theoretical approach reduces the number of variables that need to be captured by the pneumatic control valve inspection system. Finally, through experiments under extreme conditions, our approach successfully diagnoses faults in 26 subclasses of pneumatic control valves, providing a reliable safeguard for industrial production safety and stability.
Research on circuit breaker operating mechanism feature extraction method combining ICEEMDAN-MRSVD denoising and VMD-PSE
Authors: Yan Renwu , Zhuang Weiling , Yu Ning 
Published: July 2024

Abstract
The vibration signal associated with the operating process of circuit breakers(CBs) includes a detailed operating status in the formation of the operating mechanism. To effectively extract the characteristic information of vibration effectively for diagnosis and analysis, a new feature extraction method for the CBs operating mechanism is proposed. First, a new denoising method, the improved complete ensemble empirical mode decomposition with adaptive noise-multi-resolution singular value decomposition (ICEEMDAN-MRSVD), is introduced, which can effectively remove the influence of noise on faults. Then, a quantitative method is proposed to extract the characteristic information of the CB, i.e. the variational mode decomposition (VMD)-power spectrum entropy (PSE) is proposed. By using this method, the difference of CB vibration signals in different fault states can be quantified. Through comparative analysis of different recognition models, experiments show that the support vector machine model based on ICEEMDAN-MRSVD noise reduction and VMD-PSE features has a high recognition accuracy of 98.61%, which has high application value.
Enhanced Semantic Visual Cryptography with AI-driven error reduction for improved two-dimensional image quality and security
Authors: Rong Rong , Shravage Chetana , Selva Mary G , John Blesswin A , Gayathri M , Catherine Esther Karunya A , Shibani R , Sambas Aceng 
Published: July 2024

Abstract
Visual Cryptography (VC) has emerged as a vital technique in the information security domain, with the fundamental purpose of securing 2-Dimensional (2D) image content through encryption and facilitating secure communication. While traditional VC has been instrumental in safeguarding data, it often falls short in maintaining image quality and semantic accuracy upon reconstruction. To address these limitations, this research encompasses the development of an Enhanced Semantic VC (ESVC) model, which aims to refine the encryption process while ensuring the semantic integrity of the images. The ESVC model introduces a new approach that merges VC with artificial intelligence (AI) to enhance 2D image encryption and decryption. The novel aspect of this research lies in the integration of AI-driven reinforcement learning (RL) to increase the quality of the 2D image by measuring the errors between the original secret image and the reconstructed image. This innovative framework is tailored for the secure transmission of 2D grayscale images, ensuring the preservation of semantic integrity while measuring and minimizing image quality loss. By integrating RL algorithms with a measurement of error reduction protocol, the model promises robust encryption capabilities with enhanced resilience against a plethora of cyber threats, thereby elevating the standard for secure image communication. Empirical evaluation of the ESVC model yields promising results, with the Peak Signal-to-Noise Ratio (PSNR) of reconstructed images achieving impressive values between +39 and +42 decibels (dB). These findings underscore the ESVC model’s capability to produce high-fidelity decrypted images, significantly surpassing traditional VC methods in both security and image quality. The research findings illuminate the potential of merging AI with VC to achieve a harmonious balance between computational efficiency and encryption strength, marking a significant advancement in the domain of visual data protection.
FP-Deeplab: a segmentation model for fabric defect detection
Authors: Liu Yu , Shen Jie , Ye Ruifan , Wang Shu , Ren Jia , Pan Haipeng 
Published: July 2024

Abstract
Deep learning for defect detection has become prevalent to improve fabric production and efficiency and quality. However, fabric defect detection faces challenges such as low recognition ratio, suboptimal classification performance, poor detection inefficiency, and high model complexity. To address these issues, an end-to-end semantic segmentation network is proposed employing an efficient encoder-decoder structure, denoted as Feature Pyramid-Deeplab (FP-Deeplab). The improvements involves enhancing the backbone network by improving the MobileNetV3 network for superior performance, a novel Atrous Spatial Pyramid Pooling with Dilated Strip Pooling (ASPP-DSP) module which combines strip pooling, dilated convolution and ASPP, to ensure an expanded receptive field and the capability to gather distant contextual information. Additionally, a Feature Pyramid module (FP module) is proposed to integrate multiscale features at various stages more efficiently. The incorporating of depth-wise separable convolution in FP-Deeplab enables significant parameter and computational cost reduction, catering to online detection requirements. Experimental results certify the superiority of FP-Deeplab over classical and recent segmentation models. Comparative analysis demonstrates higher segmentation accuracy and reduced parameter quantity. Specifically, compared to the benchmark Deeplabv3+ model with MobileV2 as the backbone, FP-Deeplab achieves a notable increase in segmentation accuracy (F1 score and MIoU) by 4.26% and 5.81%, respectively. Moreover, the model parameters (params) are only one-fifth of the original model, indicating the efficiency and effectiveness of our proposed approach.
Current application and future perspective of CRISPR/cas9 gene editing system mediated immune checkpoint for liver cancer treatment
Authors: Tong Ling-Wu , Hu Yong-Shan , Yu Shi-Jing , Li Cheng-Lei , Shao Jing-Wei 
Published: July 2024

Abstract
Liver cancer, which is well-known to us as one of human most prevalent malignancies across the globe, poses a significant risk to live condition and life safety of individuals in every region of the planet. It has been shown that immune checkpoint treatment may enhance survival benefits and make a significant contribution to patient prognosis, which makes it a promising and popular therapeutic option for treating liver cancer at the current time. However, there are only a very few numbers of patients who can benefit from the treatment and there also exist adverse events such as toxic effects and so on, which is still required further research and discussion. Fortunately, the clustered regularly interspaced short palindromic repeat/CRISPR-associated nuclease 9 (CRISPR/Cas9) provides a potential strategy for immunotherapy and immune checkpoint therapy of liver cancer. In this review, we focus on elucidating the fundamentals of the recently developed CRISPR/Cas9 technology as well as the present-day landscape of immune checkpoint treatment which pertains to liver cancer. What’s more, we aim to explore the molecular mechanism of immune checkpoint treatment in liver cancer based on CRISPR/Cas9 technology. At last, its encouraging and powerful potential in the future application of the clinic is discussed, along with the issues that already exist and the difficulties that must be overcome. To sum up, our ultimate goal is to create a fresh knowledge that we can utilize this new CRISPR/Cas9 technology for the current popular immune checkpoint therapy to overcome the treatment issues of liver cancer.
Projected WIMP sensitivity of the CDEX-50 dark matter experiment
Authors: Geng X.P. , Yang L.T. , Yue Q. , Kang K.J. , Li Y.J. , An H.P. , C Greeshma , Chang J.P. , Chen Y.H. , Cheng J.P. , Dai W.H. , Deng Z. , Fang C.H. , Gong H. , Guo Q.J. , Guo T. , Guo X.Y. , He L. , He S.M. , Hu J.W. , Huang H.X. , Huang T.C. , Jiang L. , Karmakar S. , Li H.B. , Li H.Y. , Li J.M. , Li J. , Li Q.Y. , Li R.M.J. , Li X.Q. , Li Y.L. , Liang Y.F. , Liao B. , Lin F.K. , Lin S.T. , Liu J.X. , Liu S.K. , Liu Y.D. , Liu Y. , Liu Y.Y. , Ma H. , Mao Y.C. , Nie Q.Y. , Ning J.H. , Pan H. , Qi N.C. , Ren J. , Ruan X.C. , Singh M.K. , Sun T.X. , Tang C.J. , Tian Y. , Wang G.F. , Wang J.Z. , Wang L. , Wang Q. , Wang Y.F. , Wang Y.X. , Wong H.T. , Wu S.Y. , Wu Y.C. , Xing H.Y. , Xu R. , Xu Y. , Xue T. , Yan Y.L. , Yi N. , Yu C.X. , Yu H.J. , Yue J.F. , Zeng M. , Zeng Z. , Zhang B.T. , Zhang F.S. , Zhang L. , Zhang Z.H. , Zhang Z.Y. , Zhao J.Z. , Zhao K.K. , Zhao M.G. , Zhou J.F. , Zhou Z.Y. , Zhu J.J. ,   The CDEX collaboration
Published: July 2024

Abstract
CDEX-50 is a next-generation project of the China Dark Matter Experiment (CDEX) that aims to search for dark matter using a 50-kg germanium detector array. This paper comprises a thorough summary of the CDEX-50 dark matter experiment, including an investigation of potential background sources and the development of a background model. Based on the baseline model, the projected sensitivity of weakly interacting massive particle (WIMP) is also presented. The expected background level within the energy region of interest, set to 2–2.5 keVee, is ∼0.01 counts keVee-1 kg-1 day-1. At 90% confidence level, the expected sensitivity to spin-independent WIMP-nucleon couplings is estimated to reach a cross-section of 5.1 × 10-45 cm2 for a WIMP mass of 5 GeV/c2 with an exposure objective of 150 kg·year and an analysis threshold of 160 eVee. This science goal will correspond to the most sensitive results for WIMPs with a mass of 2.2–8 GeV/c2.
Sensitivity to sub-GeV dark matter from cosmic-ray scattering with very-high-energy gamma-ray observatories
Authors: Reis Igor , Moulin Emmanuel , Viana Aion , Goncalves Victor P. 
Published: July 2024

Abstract
Huge efforts have been deployed to detect dark matter (DM) in the GeV-TeV mass range involving various detection techniques, and led to strong constraints in the available parameter space. We compute here the sensitivity to sub-GeV DM that can be probed from the inevitable cosmic-ray scattering onto DM particles populating the Milky Way halo. Inelastic scattering of energetic cosmic rays off DM would produce high-energy gamma rays in the final state, providing a new avenue to probe the poorly-constrained so far sub-GeV dark matter mass range. In this work we derive
sensitivity forecasts for the inelastic cosmic-ray proton-DM cross section for current and future very-high-energy gamma-ray observatories such as H.E.S.S., LHAASO, CTA and SWGO in the 100 eV to 100 MeV mass range. These inelastic cross section constraints are converted to the elastic proton-DM cross section
to highlight further complementarity with cosmological, collider and direct detection searches.
The sensitivity computed at 95% confidence level on the elastic cross section reaches ∼2 × 10-32 cm2 for a 100 keV DM mass for H.E.S.S.-like and ∼7 × 10-34 cm2 for a ∼1 keV DM mass for LHAASO. The sensitivity prospects for CTA and a strawman SWGO model reach ∼6 × 10-34 cm2 and ∼4 × 10-35 cm2, for DM masses of 10 keV and 1 keV, respectively. The sensitivity reach of the gamma-ray observatories considered here enables to probe an uncharted region of the DM mass-cross section parameter space.
Enhancing Exoplanet Ephemerides by Leveraging Professional and Citizen Science Data: A Test Case with WASP-77 A b
Authors: Noguer Federico R. , Corley Suber , Pearson Kyle A. , Zellem Robert T. , Simon Molly N. , Burt Jennifer A. , Huckabee Isabela , August Prune C. , Weiner Mansfield Megan , Dalba Paul A. , Smith Peter C. B. , Banks Timothy , Bell Ira , Daniel Dominique , Dawson Lindsay , De Mula Jesús , Deldem Marc , Deligeorgopoulos Dimitrios , Di Sisto Romina P. , Dymock Roger , Evans Phil , Follero Giulio , Fowler Martin J. F. , Fernández-Lajús Eduardo , Hamrick Alex , Iannascoli Nicoletta , Kovacs Andre O. , Kulh Denis Henrique , Lopresti Claudio , Marino Antonio , Martin Bryan E. , Matassa Paolo Arcangelo , Napoleão Tasso Augusto , Nastasi Alessandro , Norris Anthony , Odasso Alessandro , Paschalis Nikolaos I. , Pintr Pavel , Postiglione Jake , Randolph Justus , Regembal François , Rousselot Lionel , Gonçalves da Silva Sergio José , Smith Andrew , Tomacelli Andrea 
Published: July 2024

Abstract
We present an updated ephemeris, and physical parameters, for the exoplanet WASP-77 A b. In this effort, we combine 64 ground- and space-based transit observations, 6 space-based eclipse observations, and 32 radial velocity observations to produce this target's most precise orbital solution to date aiding in the planning of James Webb Space Telescope and Ariel observations and atmospheric studies. We report a new orbital period of 1.360029395 ± 5.7 × 10−8 days, a new mid-transit time of 2459957.337860 ± 4.3 × 10−5 Barycentric Julian Date in the Barycentric Dynamical Timescale (BJDTDB) and a new mid-eclipse time of 2459956.658192 ± 6.7 × 10−5 BJDTDB. Furthermore, the methods presented in this study reduce the uncertainties in the planet's mass 1.6654 ± 4.5 × 10−3
M
Jup and orbital period 1.360029395 ± 5.7 × 10−8 days by factors of 15.1 and 10.9, respectively. Through a joint fit analysis comparison of transit data taken by space-based and citizen science-led initiatives, our study demonstrates the power of including data collected by citizen scientists compared to a fit of the space-based data alone. Additionally, by including a vast array of citizen science data from ExoClock, Exoplanet Transit Database, and Exoplanet Watch, we can increase our observational baseline and thus acquire better constraints on the forward propagation of our ephemeris than what is achievable with Transiting Exoplanet Survey Satellite data alone.