bluuebunny/crossref_metadata_2025_split huggingface dataset:
Partial discharge fault identification method for GIS equipment based on improved deep learning
Authors: Hu Weitao , Li Jianpeng , Liu Xiaofei , Li Guang 
Published: May 2024

AbstractAiming at the problems of large consumption of computational resources and insufficient data feature extraction in the current partial discharge fault identification process of GIS equipment, a partial discharge fault identification method of GIS equipment based on improved deep learning is proposed. Firstly, the audio information of GIS equipment is filtered by a simple power normalised cepstral coefficient (SPNCC). Secondly, the spatial correlation between audio data streams is obtained by a convolutional neural network, the temporal correlation of audio is obtained and the next time slice data stream is predicted by using bi‐directional long short‐term memory (BiLSTM) network, and the attention mechanism is designed to extract deeper data features. Finally, the partial discharge fault identification model of GIS equipment based on improved SPNCC‐CNN‐BiLSTM‐Multi‐att is established, which improves the accuracy of the partial discharge identification method of GIS equipment. Experiments show that when the number of iterations is 100, the accuracy, recall, and F1 value of the proposed GIS equipment partial discharge fault recognition method on the dataset are 0.876, 0.812, and 0.843, respectively.
Fumarate Hydratase-Deficient Renal Cell Carcinoma—A Clinicopathological Study of a Series of 11 Cases
Authors: Menon Aswathy A. , Rane Swapnil , Sakhadeo Uma , Prakash Gagan , Joshi Amit , Pal Mahendra , Arora Amandeep , Sable Nilesh , Katdare Aparna , Popat Palak , Maitre Priyamvada , Agarwal Archi , Murthy Vedang , Desai Sangeetha B. , Menon Santosh 
Published: May 2024

Abstract
Introduction Fumarate hydratase (FH)-deficient renal cell carcinoma (RCC) is a rare, molecularly defined renal tumor with aggressive behavior. The diagnosis of these tumors is challenging because of varied morphology and limited access to molecular testing and immunohistochemistry (IHC) for FH and 2-succinocysteine. We aim to elucidate the histomorphology, clinical presentation, and follow-up of this tumor in this first series of cases of FH-deficient RCCs from India.
Objectives This article aims to understand and elucidate the clinical presentation, pathologic findings, treatment options, and outcomes of FH-deficient RCC.
Materials and Methods Diagnosed cases of FH-deficient RCC between January 2021 and January 2023 including clinical details were retrieved from the electronic medical record database. Histopathological and immunohistochemical slides were reviewed.
Results Out of 11 cases of FH-deficient RCC, 36% had been referred with a diagnosis of type 2 papillary RCC. One patient presented with metastatic disease. All had mixed histologic patterns with the predominant pattern being papillary and showed FH loss on IHC. The classically described inclusion like nucleoli was present only focally in most cases. A subset of tumors had low-grade solid-nested morphology and these patients presented at an earlier stage (T2a). Two patients on multikinase inhibitors are alive with disease at 14 months' follow-up.
Conclusion FH-deficient RCCs can have varied histologic patterns within the same tumor and show loss of FH expression by IHC. A subset has low grade morphology and tends to have a more indolent course. It is important to have a high index of suspicion for this diagnosis due to its varied histological appearance and aggressive behavior.
Exploring the Role of EZH2 and BCL2 in Demarcating Oral Verrucous Hyperplasia and Verrucous Carcinoma
Authors: Chatterjee Shreya , Devi Anju , Kamboj Mala , Narwal Anjali 
Published: May 2024

Introduction Oral verrucous hyperplasia (OVH) and verrucous carcinoma (OVC) are precursors of oral squamous cell carcinoma exhibiting overlapping histopathological picture which warrants distinction. EZH2 is an epigenetic marker possessing multifaceted function in cellular proliferation, migration, and malignant transformation, whereas BCL2 is an integral part of the antiapoptotic mechanism regulating cellular homeostasis.
Aim The aim was to distinguish OVH and OVC by analysis of immunohistochemical expression of EZH2 and BCL2.
Material and Methods The study sample consisted of 79 formalin-fixed paraffin-embedded tissue sections of normal oral mucosa (10), OVH (10), oral OVC (27), and oral squamous cell carcinoma (32). Immunohistochemical analysis of EZH2 and BCL2 was done and labeling indices were calculated. Additionally, six histopathological parameters were assessed in OVH and OVC. Statistical analysis was done using Kruskal–Wallis test, Tukey honest significant difference test, and Spearman's correlation. Receiver operating characteristic curve was plotted and sensitivity, specificity, and cutoff score of each marker were calculated.
Result and Discussion Labeling indices of EZH2 and BCL2 depicted a gradual incline from normal mucosa to oral squamous cell carcinoma. Significant difference of EZH2 and nonsignificant difference in BCL2 expression between OVH and OVC were noted. Out of the six histopathological parameters, keratin plugging, juxtaepithelial lymphocytic response, and frank endophytic growth yielded a significant difference. EZH2 serves as a superior marker than BCL2 to differentiate OVH and OVC. Juxtaepithelial lymphocytic response can also serve as a histopathological parameter in distinguishing OVH and OVC.
Cryogenic magnetocaloric effects of NaLnF4 (Ln = Gd, Tb, Dy, Ho, Er, Tm, and Yb)
Authors: Liu Peng , Ren Weijun , Guo Qing , Zhang Zhao , Zhao Xueting , Zhang Zhidong , Dai Wei , Li Bing 
Published: May 2024

Cryogenic refrigeration technology based on magnetocaloric effects plays a critical role in a variety of technological applications. In this paper, we report the cryogenic magnetocaloric effects of a series of sodium-rare earth fluoride samples (Ln = Gd, Tb, Dy, Ho, Er, Tm, Yb) synthesized by the solid-state reaction method. These compounds all crystallize in a hexagonal crystal structure. Down to 2 K, no magnetic ordering was detected, while all compounds show negative Curie–Weiss temperatures indicative of strong antiferromagnetic coupling. Magnetic fields effectively suppress the magnetic fluctuations, leading to a maximum magnetic entropy change of −56 J kg−1 K−1 in NaGdF4 at the magnetic field change from 0 to 50 kOe. These series of compounds are potentially excellent magnetic refrigerants at low temperatures.
Synthesis and high-temperature energy storage performances of fluorinated polyimides
Authors: Yan Jingjing , Wang Huan , Zhang Xin , Zhang Shujun 
Published: May 2024

In light of the increasingly stringent requirements for the applications of light-weight flexible high-temperature-resistant dielectric materials in the fields of aerospace, electronics, and electric vehicles, the imperative lies in the development of dielectric materials with high discharged energy density, enduring temperature resistance and high reliability. This work introduced side-chain trifluoromethyl (–CF3) groups into high-temperature engineering polymer polyimides and conducted comprehensive studies on the breakdown and energy storage capabilities. The introduction of bulky –CF3 substituents reduces the intermolecular interactions, increases the free volume, and suppresses the high-temperature leakage conductance loss by decreasing the formation of intermolecular charge transfer complexes between polymer chains. As a result, the fluorinated polyimides (PFI) with lower dielectric constant exhibit enhanced breakdown strengths (730 MV m−1 at 25 °C; 630 MV m−1 at 150 °C), leading to a high discharged energy density of 3.6 J cm−3 (∼1.7 times of pristine polyimides), alongside a charge-discharge energy efficiency of ∼80% at 150 °C. These findings underscore the great potential of PFI for applications in the field of high-temperature energy storage.
Transport signatures of Bogoliubov Fermi surfaces in normal metal/time-reversal symmetry broken d-wave superconductor junctions
Authors: Pal Amartya , Saha Arijit , Dutta Paramita 
Published: May 2024

Abstract
In recent times, Bogoliubov Fermi surfaces (BFSs) in superconductors (SCs) have drawn significant attention due to a substantial population of Bogoliubov quasiparticles (BQPs) together with Cooper pairs (CPs) in them. The BQPs as zero energy excitations give rise to captivating and intricate charge dynamics within the BFSs. In this theoretical study, we propose to reveal the unique signatures of the topologically protected BFSs in bulk d-wave SCs using normal metal/time-reversal symmetry (TRS) broken d-wave SC hybrid setup, in terms of the differential conductance and Fano factor (FF). Orientation of crystal a axis with respect to junction normal, quantified by the parameter α, is crucial for transport properties in these hybrid devices. For α = 0, an enhancement in zero-bias conductance (ZBC) can be identified as a key signature of BFSs. However, for

α
≠
0

, this feature does not replicate due to the presence of the localized Andreev bound state (ABS) at the interface. The interplay of ABS and BFSs gives rise to an anomalous behavior in ZBC compared to the α = 0 case. This behavior remains qualitatively similar even at finite temperatures. Finally, we explain this anomalous behavior by analyzing the effective charge of the carriers in terms of the FF. The simplicity of our setup based on d-wave SC makes our proposal persuasive.
Ion acoustic solitary waves in an adiabatic dusty plasma: Roles of superthermal electrons, ion loss and ionization
Authors: Rao 饶 Qianghua 强华 , Chen 陈 Hui 辉 , Liu 刘 Sanqiu 三秋 , Chen 陈 Xiaochang 小昌 
Published: May 2024

Abstract
We investigate propagation of dust ion acoustic solitary wave (DIASW) in a multicomponent dusty plasma with adiabatic ions, superthermal electrons, and stationary dust. The reductive perturbation method is employed to derive the damped Korteweg–de Vries (DKdV) equation which describes DIASW. The result reveals that the adiabaticity of ions significantly modifies the basic features of the DIASW. The ionization effect makes the solitary wave grow, while collisions reduce the growth rate and even lead to the damping. With the increases in ionization cross section Δσ/σ
0, ion-to-electron density ratio δ
ie and superthermal electrons parameter κ, the effect of ionization on DIASW enhances.
Mixed (regular and chaotic) dynamics under the channeling of the high energy positrons in [100] direction of the silicon crystal and Podolskiy-Narimanov distribution
Authors: Syshchenko V.V. , Tarnovsky A.I. , Isupov A.Yu. 
Published: May 2024

Abstract
The character of motion (regular or chaotic) on the quantum level manifests itself in the statistics of the set of the system's energy levels. The completely regular case generates the sequence of the levels with exponential (Poisson) level spacing distribution; the completely chaotic one — with Wigner distribution. The most interesting case is the co-existence of the regular and chaotic motion domains in the phase space of the system under consideration. The assumption of independent generation of two level sequencies by one chaotic domain and by all regular domains leads to Berry-Robnik distribution. However, the presence of the chaotic motion domain in the phase space affects the levels produced by the regular domains via the so-called chaos-assisted tunneling (CAT) that leads to Podolskiy-Narimanov distribution of the level spacings. This distribution needs the mean amplitude of the tunnel transition and the relative contribution of the regular domains to the mean level density as the parameters. Using their estimations for the transverse motion of the high energy positrons channeling near [100] direction in the silicon crystal we found that Podolskiy-Narimanov distribution demonstrates the best agreement with the level spacing distribution.
Design of a Talbot phase-contrast microscopy imaging system with a digital detector for laser-driven X-ray backlighter sources
Authors: Schreiner S. , Rauch C. , Akstaller B. , Bleuel P. , Fröjdh E. , Ludwig V. , Martynenko A.S. , Meyer P. , Mozzanica A. , Müller M. , Neumayer P. , Schuster M. , Wegert L. , Zielbauer B. , Wolf A. , Anton G. , Michel T. , Funk S. 
Published: May 2024

Abstract
Laser-driven shock waves in matter propagate with multiple kilometers per second and therefore require sources like a laser-driven backlighter, which emit the X-rays within picoseconds, to be able to capture sharp images. The small spatial extent of shocks in low-density materials pose challenges on the imaging setup. In this work, we present a design process for a single-shot X-ray phase-contrast imaging system geared towards these objects, consisting of a two-grating Talbot interferometer and a digital X-ray detector. This imaging system is optimized with respect to the detectable refraction angle of the X-rays induced by an object, which implies a high phase sensitivity. Therefore, an optimization parameter is defined that considers experimental constraints such as the limited number of photons, the required magnification, the size and spectrum of the X-ray source, and the visibility of the moiré fringes. In this way, a large parameter space is sampled and a suitable imaging system is chosen.
During a campaign at the PHELIX high-power laser facility a static test sample was imaged which is used to benchmark the optimization process and the imaging system under real conditions. The results show good agreement with the predicted performance, which demonstrates the reliability of the presented design process. Likewise, the process can be adapted to other types of laser experiments or X-ray sources and is not limited to the application presented here.
Determination of impact parameter for CEE with digi-input neural networks
Authors: Wang Botan , Wang Yi , Han Dong , Xiao Zhigang , Zhang Yapeng 
Published: May 2024

Abstract
The impact parameter characterizes the centrality in nucleus-nucleus collision geometry. The determination of impact parameters in real experiments is usually based on the reconstructed particle attributes or the derived event-level observables. For the scheduled Cooler-storage-ring External-target Experiment (CEE), the low beam energy reduces correlation between the impact parameter and charged particle multiplicity, which decreases the validity of the explicit determination methods. This work investigates a few neural network-based models that directly take the digitized signals from the external Time-of-flight detectors as input. The model with the best performance shows a mean absolute error of 0.479 fm with simulated U-U collisions at 0.5 AGeV. The performances of the models implemented with digi inputs are compared with reference models with phase space inputs, showing the capability of neural networks to handle the original but potentially interrelated digitized signal information.
Mass production and performance study on the 20-inch PMT acrylic protection covers in JUNO
Authors: He Miao , Qin Zhonghua , Wu Diru , Xu Meihang , Xie Wan , Chen Fang , Jing Xiaoping , Yin Genhua , Yin Shengjiong , Gu Linhua , Xia Xiaofeng , Wang Qinchang 
Published: May 2024

Abstract
The Jiangmen Underground Neutrino Observatory is a neutrino
experiment that incorporates 20,012 20-inch photomultiplier tubes
(PMTs) and 25,600 3-inch PMTs. A dedicated system was designed to
protect the PMTs from an implosion chain reaction underwater. As a
crucial element of the protection system, over 20,000 acrylic covers
were manufactured through injection molding, ensuring high
dimensional precision, mechanical strength, and transparency. This
paper presents the manufacturing technology, mass production
process, and performance characteristics of the acrylic covers.
Questioning Spatial Inclusivity during Pandemics: The Increased Prevalence of Sick Building Syndrome during COVID-19 Lockdown
Authors: Alam M 
Published: May 2024

Abstract
Sick Building Syndrome (SBS) is more prevalent in the modern age due to the increased amount of time an individual faces indoors and the lack of outdoor activities in the day-to-day lifestyle. SBS has many potential health risks, from being the physical ones such as cancer, diabetes, lethargy, fatigue; towards the mental ones such as increased symptoms of anxiety, depression, and loneliness; towards the social ones such as an individual having difficulties interacting with another individual(s). Furthermore, due to the COVID-19 Pandemic that has given rise to ‘work-from-home’ (WFH), employees feel worse than ever before because of the poor quality of their indoors. In this work, recommendations to solve this problem are being provided. (keywords: sick building syndrome (SBS), COVID-19, Work-from-home)
Lattice Boltzmann simulation of breaking waves
Authors: Dinesh Kumar E , Sannasiraj S A , Sundar V 
Published: May 2024

Abstract
Water wave breaking at the ocean’s surface is a turbulent phenomenon and encompasses a wide range of physical processes such as generation of bubbles/drops with different spatio-temporal scales. In the present study, breaking of periodic waves in deep water regime has been simulated using phase-field lattice Boltzmann method (LBM). Compared to direct Navier–Stokes equation based numerical models, the present LB model is Poisson-free and explicit in time integration. Both the flow field and interface are solved using LBM with two sets of distribution functions. The normalized pressure-velocity formulation is used for the flow field, whereas the conservative Allen–Cahn equation is used to capture the interface. An impulsively started wave approach with Stokes third order wave profile has been used to initiate the breaking process. Through systematic variation of Weber number and initial steepness, the effect of surface tension on the kinematic, geometric, and energy dissipation characteristics has been studied for three breaker types, viz., spilling, weak plunging, and plunging breakers. The results are in good agreement with the past experimental observations and direct numerical simulation. In particular, the obtained breaking strength for different Weber numbers agrees well with the semi-empirical relation used in a wind-wave forecasting models.
A new approach of aspheric intralamellar keratoprostheses optic design made with poly(2-hydroxy ethylmethacrylate) hydrogel
Authors: Sunka Krishna Chaitanya , Ghosh Atriya , Ganguly Pranabendu , Chaudhuri Bhaskar Ray , Dhara Santanu 
Published: May 2024

Abstract
Keratoprosthesis (KPro) is a surgical procedure largely confined to end-stage corneal blindness correction, where artificial cornea substitutes the native tissue. Though the problem of bio integration was addressed partially by strategic utilization of synthetic polymers and native tissue, major challenges like optical performance and design-associated post-operative complications of KPro were overlooked. Herein, a novel intralamellar KPro design is conceptualized to address these challenges using a light-transparent poly(2-hydroxy ethylmethacrylate) (pHEMA) hydrogel with good shape memory. pHEMA-based optics’ theoretically modelled refractive surfaces for both phakic and aphakic conditions were investigated against the standard Navarro model and optimized to new aspheric geometries having high optical functionality utilizing the Zemax OpticStudio software. The optical clear aperture size standardized achieved a 15% improvement in the illumination field. The introduction of asphericity on the two refractive surfaces of the optic on both models resulted in substantial improvements in the spot spread confinement on the retina, spatial resolution, and Seidel aberration. The design simulation study shows that the developed materials’ optical characteristics coupled with newly optimized refractive surface geometries can indeed deliver very high visual performance. Furthermore, the procedure can be adapted to analyze and optimize the optical performance of a KPro, intraocular lens, or contact lens.
Attributing daily ocean temperatures to anthropogenic climate change
Authors: Giguere Joseph , Gilford Daniel M , Pershing Andrew J 
Published: May 2024

Abstract
Ocean temperatures are rising and hit record levels around the world in 2023. While trends are clear and likely strongly connected to human-caused climate change, the oceans also exhibit variability on the daily level, leading to local extremes such as marine heatwaves. We present an operational system to estimate the impact of human-caused climate change on daily sea surface temperatures anywhere in the ocean. This system uses a multi-method approach combining observed trends and paired control/forced climate model runs from CMIP6. Our approach is novel in its flexibility and ease of application for global, daily use for any day since the beginning of the satellite era (1982–2023). The system allows for rapid evaluation for further study of attributable ocean temperatures and real-time communications of attributable ongoing events. We apply the system to well-documented heatwaves in the Tasman Sea, Gulf of Maine, and Mediterranean Sea over the past decade, as well as global conditions in July 2023, to confirm that the system produces estimates consistent with other attribution methods, and to simulate how our system handles interesting events as they are occurring. Each of these events strongly reflected impacts of climate change: their temperatures were consistently made at least four times as likely to occur in our human-influenced climate than in a world without climate change. Meanwhile, in July 2023, almost all (

>

70

%) of the ocean’s temperatures were made at least twice as likely to occur on any given day. Rapid attribution of daily ocean temperatures provides a pathway for quantifying the influence of climate change on ecological impacts like coral bleaching and on ocean-generated/influenced storms like tropical cyclones.
DDID: a comprehensive resource for visualization and analysis of diet–drug interactions
Authors: Hong Yanfeng , Xu Hongquan , Liu Yuhong , Zhu Sisi , Tian Chao , Chen Gongxing , Zhu Feng , Tao Lin 
Published: May 2024

Abstract
Diet–drug interactions (DDIs) are pivotal in drug discovery and pharmacovigilance. DDIs can modify the systemic bioavailability/pharmacokinetics of drugs, posing a threat to public health and patient safety. Therefore, it is crucial to establish a platform to reveal the correlation between diets and drugs. Accordingly, we have established a publicly accessible online platform, known as Diet-Drug Interactions Database (DDID, https://bddg.hznu.edu.cn/ddid/), to systematically detail the correlation and corresponding mechanisms of DDIs. The platform comprises 1338 foods/herbs, encompassing flora and fauna, alongside 1516 widely used drugs and 23 950 interaction records. All interactions are meticulously scrutinized and segmented into five categories, thereby resulting in evaluations (positive, negative, no effect, harmful and possible). Besides, cross-linkages between foods/herbs, drugs and other databases are furnished. In conclusion, DDID is a useful resource for comprehending the correlation between foods, herbs and drugs and holds a promise to enhance drug utilization and research on drug combinations.