bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance measures for small-bowel endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative – Update 2025
Authors: Sidhu Reena , Shiha Mohamed G. , Carretero Cristina , Koulaouzidis Anastasios , Dray Xavier , Mussetto Alessandro , Keuchel Martin , Spada Cristiano , Despott Edward J. , Chetcuti Zammit Stefania , McNamara Deirdre , Rondonotti Emanuele , Sabino João , Ferlitsch Monika ,   External Voting Panel
Published: February 2025

AbstractQuality markers and patient experience are being implemented to ensure standardization of practice across gastrointestinal (GI) endoscopy procedures. The set benchmarks ensure high quality procedures are delivered and linked to measurable outcomes.There has been an increase in the demand for small-bowel endoscopy. In 2019, the European Society of Gastrointestinal Endoscopy (ESGE) embarked on setting performance measures for small-bowel endoscopy. This included major (key) and minor performance indicators for both small-bowel capsule endoscopy (SBCE) and device-assisted enteroscopy (DAE). These suggested quality indicators cover all procedure domains, from patient selection and preparation, to intraprocedural aspects such as pathology identification, appropriate management, the patient experience, and post-procedure complications. Since 2019, there has been an increase in published studies looking at different aspects of small-bowel endoscopy, including real-world data. This paper provides an update on the 2019 performance measures, considering the latest literature.
CsCF3B(OMe)3: A Versatile Nucleophilic Source of the Trifluoromethyl Anion
Authors: Dupeux Aurélien , Durant Andrew G. , Rabeda Karolina , Lautens Mark , Mirabi Bijan , Marchese Austin D. , Algera Russell F. , Monfette Sebastien , Roosen Philipp C. 
Published: February 2025

AbstractWe have identified cesium trimethoxy(trifluoromethyl)borate [CsCF3B(OMe)3] as a nucleophilic source for the trifluoromethylation of carbonyl compounds. A differentiating characteristic of CsCF3B(OMe)3 is its heightened reactivity in ethereal solvents compared to its potassium analogue, which is typically employed in dimethylformamide. Also, in contrast to the extensively studied Ruppert–Prakash reagent (TMSCF3), CsCF3B(OMe)3 does not require the addition of an exogenous activator. Described herein, we detail the synthesis of CsCF3B(OMe)3 and demonstrate its efficacy in trifluoromethylation across various scaffolds, including methyl ketones, isatin derivatives, and 1,2-acyclic dicarbonyls.
Phase noise measurement by zero-crossing analysis with a double recorder setup in the radio frequency range
Authors: Takeuchi Makoto , Saito Haruo 
Published: February 2025

The phase noise of low-noise oscillators is conventionally measured by the cross-spectrum method (CSM), which has a complicated setup. We developed an alternative method called zero-crossing analysis with a double recorder setup (ZCA-DRS) that has a much simpler configuration, which we previously demonstrated to measure phase noise in the audible frequency range. In this study, we conducted experiments using ZCA-DRS to measure phase noise in the radio frequency range. A temperature-compensated crystal oscillator was used to generate a periodic signal at 27 MHz. The results demonstrated that the obtained single-sideband spectrum was almost the same as that obtained by CSM. The measurement sensitivity was limited by the jitter of the internal clock and the noise of the analog-to-digital converter. Thus, ZCA-DRS can be used as an alternative to CSM for phase noise measurement in the radio frequency range.
Highly efficient (31%) of rubidium-based halide perovskite solar cell using SCAPS-1D simulation
Authors: Sakib Nure Alam , Ahammed Rezvi , Tarekuzzaman Md. , Al-Dmour Hmoud , Rasheduzzaman Md. , Sakib Md. Nazmus , Moazzam Hossen M. , Hasan Md. Zahid 
Published: February 2025

Perovskite solar cells (PSCs) have emerged as potential substitutes to conventional photovoltaic devices due to their outstanding performance, affordability, and simplicity of construction. This study focuses on optimizing rubidium-based halide perovskite solar cells using numerical simulation tools, specifically SCAPS-1D (Solar Cell Capacitance Simulator), with rubidium germanium bromide (RbGeBr3) as the absorber material. The aim is to improve both efficiency and durability, addressing challenges in creating sustainable and cost-effective photovoltaic technologies. The performance of the proposed solar cell configuration was evaluated by examining various parameters such as the thickness of the absorber, the thickness of the electron transport layer and hole transport layer (HTL), defect densities, temperature, etc. Various hole transport layer materials, including Copper Barium Tin Sulfide (CBTS), Copper Iodide (CuI), PEDOT: PSS, and Spiro-MeOTAD, were analyzed to evaluate their impact on open-circuit voltage, short-circuit current, fill factor, and power conversion efficiency. The findings indicate significant potential for RbGeBr3-based solar cells, with the CBTS HTL yielding the highest efficiency. Among the structures, the ITO/WS2/RbGeBr3/CBTS/Au structure was found to be optimal, achieving a power conversion efficiency of 31.48%, a current density of 26.27 mA/cm2, a voltage of 1.39 V, and a fill factor of 85.76%. This research provides valuable insights for designing and optimizing future perovskite solar cells, contributing to the advancement of renewable and sustainable energy technologies.
Strain-modulated gas sensing properties of As6/Sb6 lateral heterostructures by first-principles calculations
Authors: She Anqi , Pu Shuangshuang , Wang Xiaohua , Wang Dengkui , Fang Dan , Yan Hao , Li Jinhua , Fang Xuan 
Published: February 2025

Two-dimensional materials used for gas-sensing can be classified as donors or acceptors based on the different directions of electronic transfer. Meanwhile, external strain, by disrupting the balance of forces between the electrons, significantly impacts the electron transfer process between the material and gas molecules, thereby altering the gas-sensing properties. In this paper, single-layer As6/Sb6 lateral heterojunctions (LHSs) with armchair or zigzag (ZZ) interfaces have been constructed. The NO2 molecule and NH3 molecule are adsorbed on these LHSs, making LHSs act as donors or acceptors, respectively. The adsorption properties before and after applying different types of strain are calculated by first principles. Notably, the compressive strain exacerbates the structural deformation of all LHSs. In addition, the compressive strain promotes the charge transfer for NO2 sensing but hinders the charge transfer for NH3 sensing. The adsorption energy and charge transfer of NO2 adsorbed on As6/Sb6 ZZ-LHSs with compression strain are the largest, indicating the great potential for NO2 sensing. This work lays the foundation for designing and predicting high gas-sensitivity gas sensing materials.
Multi-response optimization of FSW parameters for Al–Mg–Zn alloys using Box–Behnken design and gray relational analysis and comparative study with ANFIS technique
Authors: Rao T. Venkateswara , Vara Prasad Adina Srinivasa , Sri M. Naga Swapna , Anusha P. , Gupta Deepak , Vijayakumar S. , Pydi Hari Prasadarao , Cheepurupalli Nageswararao 
Published: February 2025

In this study, cast Al–Mg–Zn and aging Al–Mg–Zn alloys were joined using the friction stir welding technique, with the welding parameters being the rotational speed of the tool, welding speed, tilt angle, and D/d ratio. The effects of these input parameters on output responses such as ultimate tensile strength, elongation percentage, hardness, and wear rate were investigated using Box–Behnken experimental design. Multi-response optimization was performed using the Box–Behnken Design (BBD) combined with Gray Relational Analysis (GRA). A rotational speed of 1200 rpm, welding speed of 100 mm/min, tilt angle of 1.5°, and D/d ratio of 2.25 were found to significantly enhance the mechanical properties and wear resistance. Furthermore, the Adaptive Neuro-Fuzzy Inference System (ANFIS) model was developed to predict outcomes based on the gray relational coefficient grades, leveraging its architecture to improve prediction accuracy. Finally, a comparative analysis was conducted between the BBD-GRA methods and the ANFIS technique. Results indicated that the ANFIS model was highly effective for predicting output parameters, achieving superior precision and accuracy with fewer iterative calculations. By selecting an appropriate ANFIS structure, the model’s performance is better than that of the BBD-GRA method.
Analysis of the Chinese passive/disposal combined-occurrence constructions
Authors: Chen Yue 
Published: February 2025

Abstract
This study uses Bei-Ba constructions as a case study to investigate the Chinese passive/disposal combined-occurrence constructions. By comparing the synchrony and diachrony of the Bei-Ba constructions, it is found that while ancient Bei-Ba constructions have four different types, contemporary Bei-Ba constructions expanded to include a new type (Type III). The reason why Type III Bei-Ba constructions emerged is twofold: the expansion of the scenario in which Bei-Ba constructions reside provides the possibility for the emergence of Type III Bei-Ba constructions; the need for expressing negation leads to the necessity of the emergence of Type III Bei-Ba constructions. Although contemporary Bei-Ba constructions developed a new type, the general tendency of the Bei-Ba constructions is a decrement in both type and token frequency. This process of decrement cannot be avoided by Bei-Ba constructions, because: (1) they are less competitive than similar constructions on the Information Processing Time; (2) their lower frequency further results in their decrement. Theoretically, this study has shed light on the decrement of constructions and uncovered that the two determinants are the principle of economy and frequency.
Simulation data driven time–frequency fusion 1D convolutional neural network with multiscale attention for bearing fault diagnosis
Authors: Chen Yufei , Shi Juanjuan , Hu Jimin , Shen Changqing , Huang Weiguo , Zhu Zhongkui 
Published: February 2025

Abstract
This paper presents a bearing fault diagnosis model based on a simulated data-driven time-domain and frequency-domain feature fusion using a one-dimensional convolutional neural network (1D CNN). The proposed simulation data-driven time–frequency feature fusion 1D CNN multiscale attention (TFF-MSA) model solves the problem of insufficient generalization ability due to the scarcity of experimental data through the simulation data of the dynamic model of bearings, and accurately classifies the bearing faults in a strong noise environment. Traditional 1D CNN-based bearing fault diagnosis models often focused on either time-domain signals or frequency-domain spectra. The proposed model incorporates a parallel 1D CNN structure that simultaneously extracts features from both the time and frequency domains. These multi-domain features are then fused to capture comprehensive information from the bearing vibration signals. Specifically, to enhance the extraction of time-domain features, we introduce the pyramid attention module to mine multiscale features. Meanwhile, in the frequency-domain feature extraction, a specific fault feature frequency weighting method, allowing the proposed model to extract specific fault-related frequencies from the signals, is also proposed. Experimental results demonstrate that the proposed model which is only driven by simulated signals from dynamic model achieves an average diagnostic accuracy of 94%.
Research on TiO2 surface nanomanipulation to improve the thermal insulation performance of polypropylene films
Authors: Wang Chunxin , Xie Jun , Liu Qi , Liu Yaxuan , Xie Qing 
Published: February 2025

Abstract
According to the problems of poor insulation and local temperature rise of polypropylene film, a new nano-filler was studied, and the mechanism of improving insulation and thermal conductivity was analyzed. TiO2 with high dielectric constant is combined with Al2O3 with excellent thermal conductivity in the form of a core–shell structure. TiO2 increases the dielectric constant of polypropylene films, and shell Al2O3 introduces high thermal conductivity and assumes the role of dielectric buffer layer. Compared with pure PP, the breakdown voltage of PP/TiO2 is increased by 6.05%, the thermal diffusivty coefficient is increased by 110.67%, the breakdown voltage of PP/TiO2@Al2O3 is increased by 37.05%, and the thermal diffusivity coefficient is increased by 266.85%. Experimental and simulation results show that TiO2 introduces low-density traps, TiO2@Al2O3 introduces high-density deep traps, and Al2O3 modifies the surface defects of high-dielectric nanoparticles and increases the equivalent interface region. Based on the analysis of the experimental results with different mass fractions, this paper proposes the optimal filling ratio of the new core–shell, which provides a new method for the composite dielectric to improve the insulation and thermal conductivity at the same time.
A wideband high gain conformal self-decoupled multiport antenna for 5G millimeter wave communications
Authors: Das Priyanka , Kundu Surajit 
Published: February 2025

Abstract
High gain antenna is a mandate for mm wave communications for combating path loss and fading. In this work, we report a four-port antenna operating over a wide spectrum which covers the FR2 band of 5G, namely n257, n258 and n259 bands respectively using both rigid and flexible substrates having same permittivity but different thickness. A maximum isolation of 53 dB is obtained between the antenna elements. The gain of the multiport antenna is enhanced by integrating it with a wideband polarization insensitive reflective type frequency selective surface (FSS) which exhibits band-stop filtering characteristics from 16.6–35.8 GHz and 17.4–39.3 GHz using rigid and flexible substrates respectively. An equivalent circuit model (ECM) has been proposed for the FSS for investigating its frequency response. In both planar and bent configuration, a maximum gain of 11.5 dBi is obtained over the 81% fractional bandwidth in the frequency band 15–35 GHz. Characteristic mode analysis is conducted for the proposed FSS and antenna for analyzing the current distribution in the dominant resonant modes using finite integration technique. Prototypes of antenna and FSS have been fabricated using both rigid and flexible substrates. The measured results show close resemblance with the simulated results.
Dynamic analysis of Hopfield neural network with Sigmoid-type activation function
Authors: Zhang Yunzhen , Yin Xiaowei , Chen Chengjie , Zhao Guangzhe , You Yunkai , Tao Shaohua , Xiong Weihua 
Published: February 2025

Abstract
The Sigmoid function is a continuous and smooth nonlinear function, often called a logic function that exhibits an ‘S’-shaped characteristic similar to the Tanh function, yet possesses a distinct positive threshold property that differentiates it from the Tanh function. To elaborate on the special dynamic behaviors induced by such functions, this paper proposes a Sigmoid-type Hopfield neural network (Sigmoid-HNN) using a Sigmoid function as the activation function. With the Sigmoid-HNN model, the boundedness is proven using the Lyapunov method, and the stability of the equilibrium point is clarified exhaustively. The complex kinetic behaviors influenced by the synaptic weights and external current stimulation are analyzed using two-parameter bifurcation diagrams, phase diagrams, bifurcation diagrams, and Lyapunov exponential spectra. The results show that the bifurcation behaviors of the Sigmoid-HNN model exhibit remarkable similarity when adjusting the weight parameters and external stimuli; chaos crises frequently occur, and backward period-doubling bifurcation phenomena occur in both cases. In addition, PSIM was used to simulate an analog circuit to verify the response characteristics of the model. The simulation results are consistent with the experimental data, strongly confirming the feasibility of the system model at the physical level.
Chiral dark matter and radiative neutrino masses from gauged U(1) symmetry
Authors: Babu K.S. , Chakdar Shreyashi , P.K. Vishnu 
Published: February 2025

Abstract
We propose a class of dark matter models based on a chiral U(1) gauge symmetry acting on a dark sector. The chiral U(1) protects the masses of the dark sector fermions, and also guarantees the stability of the dark matter particle by virtue of an unbroken discrete 𝒵
N
gauge symmetry. We identify 38 such U(1) models which are descendants of a chiral SU(3) × SU(2) gauge symmetry, consisting of a minimal set of fermions with simple U(1) charge assignments. We show how these models can also be utilized to generate small Majorana neutrino masses radiatively via the scotogenic mechanism with the dark sector particles circulating inside loop diagrams. We further explore the phenomenology of the simplest model in this class, which admits a Majorana fermion, Dirac fermion or a scalar field to be the dark matter candidate, and show the consistency of various scenarios with constraints from relic density and direct detection experiments.
Neutrino masses and mixing from milli-charged dark matter
Authors: Jana Sudip , Klasen Michael , P.K. Vishnu , Wiggering Luca Paolo 
Published: February 2025

Abstract
We propose a simple extension to the Standard Model, wherein neutrinos naturally attain small Majorana masses through a one-loop radiative mechanism featuring particles within the loops characterized by milli-charges. Unlike the conventional scotogenic model, our approach avoids imposing a discrete symmetry or expanding the gauge sector. The minuscule electric charges ensure the stability of the lightest particle within the loop as a viable dark matter candidate. We systematically investigate for both, dark matter freeze-in and freeze-out, the far-reaching phenomenological implications arising from these minuscule charges.
Astrophysical properties of static black holes embedded in a Dehnen type dark matter halo with the presence of quintessential field
Authors: Albadawi Ahmad Issa , Shaymatov Sanjar 
Published: February 2025

Abstract
From an astrophysical perspective, the composition of black holes (BHs), dark matter (DM), and dark energy can be an intriguing physical system. In this study, we consider Schwarzschild BHs embedded in a Dehnen-type DM halo exhibiting a quintessential field. This study examines the horizons, shadows, deflection angle, and quasinormal modes (QNMs) of the effective BH spacetime and how they are affected by the dark sector. The Schwarzschild BH embodied in a Dehnen-type DM halo exhibiting a quintessential field possesses two horizons: the event horizon and the cosmological horizon. We demonstrate that all dark sector parameters increase the event horizon while decreasing the cosmological horizon. We analyze the BH shadow and emphasize the impact of DM and quintessence parameters on them. We show that the dark sector casts larger shadows than a Schwarzschild BH in a vacuum. Further, we delve into the weak gravitational lensing deflection angle using the Gauss-Bonnet theorem (GBT). We then investigate QNMs using the 6th order WKB approach. To visually underscore the dark sector parameters, we present figures that illustrate the impact of varying the parameters of the Dehnen-type DM halo as well as quintessence. Our findings show that the gravitational waves emitted from BHs with a dark sector have a lower frequency and decay rate compared to those emitted from BHs in a vacuum.
Examination of Radiative Capture Rates of 99Tc(n, γ) 100Tc and Stellar β
− Decay Rates of 99Tc
Authors: Kabir Abdul , Nabi Jameel-Un , Tahir Muhammad , Abideen Zain Ul , Mudassir Isha 
Published: February 2025

Abstract
Within the context of the proton–neutron quasi-particle random phase approximation (pn-QRPA) model and TALYS v1.96 code, the radiative capture (99Tc(n, γ)100Tc) and stellar weak interaction (99Tc → 99Ru + e
− + ν

e
) rates were computed during thermal pulses operating in asymptotic giant branch stars. The Maxwellian average cross-section (MACS) and neutron capture rates for the 99Tc(n, γ)100Tc process are analyzed within the context of statistical code TALYS v1.96. The effect of nuclear level density (NLD) and γ-strength functions on MACS and neutron capture rates has been examined. The model-based computations for MACS provided an insightful contrast to prior investigated findings. The sensitivity of stellar weak interaction rates to different densities and temperatures is investigated using the pn-QRPA model. The impact of thermally populated excited states on electron emission (β
−) rates in 99Tc is extensively examined. Additionally, a comparison is made between the study of the stellar β
−decay rates and the thermal neutron capture rates. It is found that at T
9 = 0.26 the thermal neutron capture rates (λ
(n, γ)) and the temperature dependent stellar β
−decay rates (

λ

β

−

) cross each other. However, at higher temperatures, the λ
(n, γ) are found to be higher than

λ

β

−

.
Optimization study of cold storage environment of fruit warehouse based on CFD
Authors: Li Yuxuan , Guo Haifeng , Tang Xue 
Published: February 2025

Abstract
In micro-cold storage, chiller settings and cargo stacking format crucially impact the environment. This paper studies a mini apple cold storage in Linfen Boxiang Fruit Market, models 3D steady-state flow and heat transfer, and validates it through experiments and simulations. Fluent simulation was also used to simulate the distribution of temperature and velocity fields at different distances from the goods, at different wind speeds, and in different stacking forms of apples. The results found that the experimental and simulation data are consistent to a large extent, and the model is feasible; the distance between the chiller and the goods is 1.9 m, the speed of air supply is 4 m/s, and the stacking method is “three”-shaped arrangement, which is the best for apple storage.
Study on characterization and measurement method of ultrasonic nonlinear effect of interface pressure of cable accessories
Authors: Xia Rong , Ouyang Benhong , Yuan Jianjun , Wang Yuli , Huang Kaiwen 
Published: February 2025

Abstract
Interface pressure is the core element of the insulation structure design of cable accessories, which is essential for the insulating characteristics of accessories. Aiming at the limitations of existing detection methods, a measurement method using the ultrasonic nonlinear effect to characterize cable accessories’ interface pressure is proposed. Firstly, based on the acoustic nonlinear theory of rough contact interface, the simulation model of ultrasonic nonlinear response is constructed. The influence of the interface’s pressure on the transmission of ultrasonic waves was studied. The results of the analysis revealed that the link between the pressure exerted and the nonlinear coefficient can be established. A platform for testing the interface’s nonlinear behavior was developed with the help of an ultrasonic inspection system known as the RAM-5000 SNAP. The characteristics of crosslinked polyethylene and flat silicone rubber under different interface conditions were studied. The data revealed that the increasing pressure led to various changes in the primary interface echo’s magnitude, duration, and coefficient. This study establishes the viability of employing nonlinear ultrasonic detection techniques for measuring interface pressures in cable accessories and contributes valuable insights into the practical application of ultrasonic nonlinear detection techniques in engineering contexts.