bluuebunny/crossref_metadata_2025_split huggingface dataset:
Case and agreement puzzle in the Moksha debitive
Authors: Shikunova Alexandra 
Published: November 2023

AbstractThis paper is dedicated to the debitive construction in Moksha Mordvin, which exhibits patterns unusual for a dative-infinitive construction (DIC). The non-finite verb can agree with its internal argument but not with the external one. The internal argument can bear both the definite nominative case, which is otherwise restricted to subjects of finite clauses, and the definite genitive case, which can mark both direct objects and definite possessors. Personal agreement is mandatory in the former case but prohibited in the latter. I propose that the Moksha debitive construction includes a null modal verb that assigns dative to the external argument of the infinitive. The case marking on the internal argument is determined by its structural position, in accordance with Dependent Case Theory. The case of Moksha demonstrates that the dative case in DICs can be inherent (contra what has been argued on the basis of Russian DICs) and that an argument for biclausality can be constructed based on case and agreement patterns.
Precisely controlled batch-fabrication of highly sensitive co-resonant cantilever sensors from silicon-nitride
Authors: Lampouras Ioannis , Holz Mathias , Strehle Steffen , Körner Julia 
Published: November 2023

Abstract
Dynamic-mode cantilever sensors are based on the principle of a one-side clamped beam being excited to oscillate at or close to its resonance frequency. An external interaction on the cantilever alters its oscillatory state, and this change can be detected and used for quantification of the external influence (e.g. a force or mass load). A very promising approach to significantly improve sensitivity without modifying the established laser-based oscillation transduction is the co-resonant coupling of a micro- and a nanocantilever. Thereby, each resonator is optimized for a specific purpose, i.e. the microcantilever for reliable oscillation detection and the nanocantilever for highest sensitivity through low rigidity and mass. To achieve the co-resonant state, the eigenfrequencies of micro- and nanocantilever need to be adjusted so that they differ by less than approximately 20%. This can either be realized by mass deposition or trimming of the nanocantilever, or by choice of dimensions. While the former is a manual and error-prone process, the latter would enable reproducible batch fabrication of coupled systems with predefined eigenfrequency matching states and therefore sensor properties. However, the approach is very challenging as it requires a precisely controlled fabrication process. Here, for the first time, such a process for batch fabrication of inherently geometrically eigenfrequency matched co-resonant cantilever structures is presented and characterized. It is based on conventional microfabrication techniques and the structures are made from 1 µm thick low-stress silicon nitride. They comprise the microcantilever and high aspect ratio nanocantilever (width 2 µm, thickness about 100 nm, lengths up to 80 µm) which are successfully realized with only minimal bending. An average yield of

>

80

% of intact complete sensor structures per wafer is achieved. Desired geometric dimensions can be realized within ±1% variation for length and width of the microcantilever and nanocantilever length, ±10% and ±20% for the nanocantilever width and thickness, respectively, resulting in an average variation of its eigenfrequency by 11%. Furthermore, the dynamic oscillation properties are verified by vibration experiments in a scanning electron microscope. The developed process allows for the first time the batch fabrication of co-resonantly coupled systems with predefined properties and controlled matching states. This is an important step and crucial foundation for a broader applicability of the co-resonant approach for sensitivity enhancement of dynamic-mode cantilever sensors.
Transillumination lab-on-a-chip cytometer with silicon/glass membrane for image-based porcine oocyte deformation characterisation
Authors: Pokrzywnicka Aleksandra , Lizanets Danylo , Walczak Rafał 
Published: November 2023

Abstract
Transillumination microscopes, often with a simple lens-free optical configuration, combined with lab-on-a-chip devices are useful tools for the characterisation of various biological samples. A key issue with these devices is light transparency across a lab-on-a-chip structure. In this work we achieved this by embedding a glass window in a silicon membrane. Despite light transmission, the membrane could be pressure actuated. A second key issue is software analysis of the images due to the holographic nature of the captured images. In this paper, the technology of the silicon/glass membrane and results of porcine oocyte imaging during deformation are presented and compared with our previous micro-electro-mechanical system cytometer working with a reflective microscope. Thus, a unique device that deforms cells and allows deformation measurements with transillumination was developed.
Analysis of guided optical eigenmodes in magneto-optical fibers with applications to OAM mode selective couplers
Authors: Chen Geng , Wu Baojian , Jiang Xinrui , Wen Feng , Qiu Kun 
Published: November 2023

Abstract
Mode division multiplexing technology can regard each eigenmode in optical fibers as an independent channel to carry different data information, helpful for improving the transmission capacity of optical fiber communication systems. The spatial distribution, state of polarization and propagation constant of guided optical eigenmodes in the magneto-optical fiber are derived theoretically by the analysis of linear polarization and exact modes. The transverse distribution of the eigenmodes in the MO fiber can be constructed by those of exact modes in the conventional fiber. The effect of applied magnetic field on the eigenmodes and their effective refractive indices is studied. Simulation results show that, the eigenmodes in the MO fiber may be represented by the pseudo-modes of circular polarization (

CP

ℓ
n

R

/

L

) or the true modes of orbital angular momentum (

OAM

±
ℓ
,
n

R

/

L

) when applied magnetic field is sufficiently large. The measurement method for weak magnetic field based on Stokes parameters is proposed. The magnetic tunability of OAM mode selective couplers is also analyzed.
Hydrophobicity grade discrimination of high voltage composite insulators based on water trace image processing
Authors: Zhang Kaituo , Xu Zhenduo , Zhang Dan 
Published: November 2023

Abstract
At present, when the hydrophobicity (HC) of high-voltage composite insulators is graded, there is a certain probability that the noise point information will be lost in the denoising process of the water trace image, which makes the image features nonlinear and diversified, affecting the autonomous learning of the algorithm and resulting in low accuracy of the HC discrimination results. Therefore, a method based on water trace image processing for HC grade discrimination of high-voltage composite insulators was designed. The water trace of the high-voltage composite insulator was converted into a gray image, which was enhanced after smoothing and binarization. The dynamic threshold was used to segment the target and background, extract the image edge feature information, and construct a Bayes network to determine the HC level of the high-voltage composite insulator. The results of the performance test show that the average accuracy of the designed discrimination method is 97.89% for different grades, which verifies the reliability of the method in practical applications. The conclusion of this study is helpful to replace insulators in time, improve the safety performance of overhead transmission lines, and prevent accidents.
Experimental investigation on micro ED milling of inconel alloy with SiC nano powder mixed Pongamia BD at different parametric condition
Authors: P Saravana Kumar , K V Arun Pillai 
Published: November 2023

Abstract

μED-milling is an excellent micro machining process for machining of complex micro structures on conducting materials. In this paper, the feasibility of SiC nano powder mixed Pongamia BD as a dielectric medium while μED-milling of Inconel 718 alloy at different parametric settings namely capacitance (10 nf, 100 nf, 400 nf), powder concentration (0 g l−1, 0.1 g l−1, 0.3 g l−1) and voltage (120 v, 130 v, 140 v) is analysed. Further, the craters dimensions are correlated with the 3D roughness parameters (Spk, Sk and Svk) in this investigation. Lower settings of capacitance (10 nF) offered a maximum MRR (601767.1 μm3 s−1) compared to intermediate (398080.62 μm3 s−1) and higher (273498.29 μm3 s−1) settings of capacitance. MRR is increased around 1.3 times with Pongamia BD compared to SiC nano powder mixed Pongamia BD at considered parametric settings. Crater diameter is decreased by 24.1% with SiC nano powder mixed Pongamia BD due to lesser amount heat transfer to workpiece. Droplet angle of machined surface with SiC nano powder mixed Pongamia BD is 20% higher than Pongamia BD at considered parametric settings. Capacitance and voltage have the significant influence on crater diameter and roughness. Maximum MRR (1034239.41 μm3 s−1) is achieved with machining condition (10 nF, 120 V, 0 g l−1) for considered biodiesels. RLT appears to be higher around 27% with the processed surface of SiC nano powder mixed Pongamia BD as compared to Pongamia BD due to reaction of powder particles with work material. 3D roughness parameters (Spk, Sk and Svk) were greatly reduced due to inclusion of powder in biodiesels. Sk (core zone) are decreased (42.8%) with 0.3 g/l SiC nano powder mixed Pongamia BD compared to Pongamia BD.
Properties study on Ti/Al butt joining by GMAW/GTAW hybrid welding-brazing
Authors: Li Zhanhua , Zhang Yufeng , Yang Yong , Feng Jie , Zhang Lianpeng 
Published: November 2023

Abstract
For adjusting the distribution of welding heat to obtain sound Ti/Al butt joints, Gas Metal Arc Welding (GMAW)/Gas Tungsten Arc Welding (GTAW) hybrid welding-brazing was introduced to join 5A06 to TC4. Then two kinds of tensile strength was tested. And the weld microstructure was observed by Scanning Electron Microscope (SEM), X-ray diffraction (XRD) and Energy Dispersive Spectrometer (EDS). Effects of welding parameters on weld reinforcement and interface characteristics were investigated. Results revealed TiAl3 IMCs layer was formed in the weld area of the titanium alloy side. The other area of weld was composed of α-Al matrix and Mg2Si+Al+Si eutectic. The back welding reinforcement was improved with the welding heat of the joint back increasing. But this may lead to a large number of molten metal flowing to the back of weld, the face reinforcement of the weld became poor. However, effects of welding parameters on the interface bonding strength was different. It was depended on the thickness and morphology of IMCs. When serrated IMCs of 2–6μm thickness were formed, the highest tensile strength without reinforcement was 240.3 MPa. Through comprehensive analyzing, when the welding parameters were welding speed of 15 mm s−1, GTAW current of 80–90 A and GMAW/GTAW position of −1 mm, the weld reinforcement and interface bonding strength were also high. So the excellent butt joints of TC4/5A06 were achieved. The maximum average value of TC4/5A06 joints tensile strength with reinforcement was 265 MPa with fracture inside the weld far from IMCs layer.
Effect of desorbed gas on microwave breakdown on vacuum side of dielectric window
Authors: ZHAO 赵 Pengcheng 朋程 , LIU 刘 Zhongyu 忠玉 , WANG 王 Rui 瑞 , SHU 舒 Panpan 盼盼 , GUO 郭 Lixin 立新 , CAO 曹 Xiangxin 祥鑫 
Published: November 2023

Abstract
The gas desorbed from the dielectric surface has a great influence on the characteristics of microwave breakdown on the vacuum side of the dielectric window. In this paper, the dielectric surface breakdown is described by using the electromagnetic particle-in-cell-Monte Carlo collision (PIC-MCC) model. The process of desorption of gas and its influence on the breakdown characteristics are studied. The simulation results show that, due to the accumulation of desorbed gas, the pressure near the dielectric surface increases in time, and the breakdown mechanism transitions from secondary electron multipactor to collision ionization. More and more electrons generated by collision ionization drift to the dielectric surface, so that the amplitude of self-organized normal electric field increases in time and sometimes points to the dielectric surface. Nevertheless, the number of secondary electrons emitted in each microwave cycle is approximately equal to the number of primary electrons. In the early and middle stages of breakdown, the attenuation of the microwave electric field near the dielectric surface is very small. However, the collision ionization causes a sharp increase in the number density of electrons, and the microwave electric field decays rapidly in the later stage of breakdown. Compared with the electromagnetic PIC-MCC simulation results, the mean energy and number of electrons obtained by the electrostatic PIC-MCC model are overestimated in the later stage of breakdown because it does not take into account the attenuation of microwave electric field. The pressure of the desorbed gas predicted by the electromagnetic PIC-MCC model is close to the measured value, when the number of gas atoms desorbed by an incident electron is taken as 0.4.
Sequential deposition of FeNC–Cu tandem CO2 reduction electrocatalysts towards the low overpotential production of C2+ alcohols
Authors: Hongrutai Nattaphon , Sarma Saurav Ch , Zhou Yuxiang , Kellner Simon , Pedersen Angus , Adourian Kari , Tyrrell Helen , Ryan Mary P , Panpranot Joongjai , Barrio Jesús 
Published: November 2023

Abstract
Tandem CO2 reduction electrocatalysts that combine a material that selectively produces CO with Cu are capable of producing hydrocarbons at low overpotentials and high selectivity. However, controlling the spatial distribution and the catalytic activity of the CO-making catalyst remains a challenge. In this work, a novel tandem electrocatalyst that overcomes limitations of simple Cu catalysts, namely selectivity and efficiency at low overpotential, is presented. The tandem electrocatalysts are prepared through a sequential spray coating protocol, using a single atom Fe in N-doped C (FeNC) as the selective CO-producing catalyst and commercial Cu nanopowder. The high faradaic efficiency towards CO of FeNC (99% observed at −0.60 V vs. RHE) provides a high CO coverage to the Cu particles, leading to reduced hydrogen evolution and the selective formation of ethanol and n-propanol at a much low overpotential than that of bare Cu.
Recent developments in 3D-printed membranes for water desalination
Authors: He Jinlong , Yue Tianle , McCutcheon Jeffrey R , Li Ying 
Published: November 2023

Abstract
The recognition of membrane separations as a vital technology platform for enhancing the efficiency of separation processes has been steadily increasing. Concurrently, 3D printing has emerged as an innovative approach to fabricating reverse osmosis membranes for water desalination and treatment purposes. This method provides a high degree of control over membrane chemistry and structural properties. In particular, when compared to traditional manufacturing techniques, 3D printing holds the potential to expedite customization, a feat that is typically achieved through conventional manufacturing methods but often involves numerous processes and significant costs. This review aims to present the current advancements in membrane manufacturing technology specifically tailored for water desalination purposes, with a particular focus on the development of 3D-printed membranes. A comprehensive analysis of recent progress in 3D-printed membranes is provided. However, conducting experimental work to investigate various influential factors while ensuring consistent results poses a significant challenge. To address this, we explore how membrane manufacturing processes and performance can be effectively pre-designed and guided through the use of molecular dynamics simulations. Finally, this review outlines the challenges faced and presents future perspectives to shed light on research directions for optimizing membrane manufacturing processes and achieving optimal membrane performance.
Topological nonsymmorphic insulator versus Dirac semimetal in KZnBi
Authors: Verma Rahul , Patra Bikash , Singh Bahadur 
Published: November 2023

Abstract
KZnBi was discovered recently as a new three-dimensional Dirac semimetal with a pair of bulk Dirac fermions in contrast to the

Z

2

trivial insulator reported earlier. In order to address this discrepancy, we have performed electronic structure and topological state analysis of KZnBi using the local, semilocal, and hybrid exchange-correlation (XC) functionals within the density functional theory framework. We find that various XC functionals, including the SCAN meta-GGA and hybrid functional with 25% Hartree–Fock (HF) exchange (HSE06), resolve a topological nonsymmorphic insulator state with the glide-mirror protected hourglass surface Dirac fermions. By carefully tuning the XC strength in modified Becke-Johnson (mBJ) potential, we recover the correct orbital ordering and Dirac semimetal state of KZnBi. We further show that increasing the default HF exchange in hybrid functional (

>

40%) can also capture the desired Dirac semimetal state with the correct orbital ordering of KZnBi. The calculated energy dispersion and carrier velocities of Dirac states are found to be in excellent agreement with the available experimental results. Our results demonstrate that KZnBi is a unique topological material where large XC effects are crucial to producing the Dirac semimetal state.
Design and development of a continuous water quality monitoring buoy for health monitoring of river Ganga
Authors: Shukla Ashish , Matharu Pawandeep Singh , Bhattacharya Bishakh 
Published: November 2023

Abstract
Real-time monitoring of water quality in the river Ganga and other Indian rivers is crucial to determining its suitability for drinking and other usages across the seasons and round the clock. For this, a structurally strong and hydrostatically stable floating observation center is required to house all the sensors and related equipment. This paper explains the design process for such a buoy platform that can house an array of water quality sensors powered by hybrid energy harvesting systems. Sensors are connected to a wireless sensor network (WSN) system that transfers data to a web-based platform, where we can monitor and analyze our data for the purpose of hazard prediction. Computational analysis has been carried out for the observatory body to ascertain its structural integrity and hydrostatic stability at small and large angles of inclination. The buoy design is based on various requirements specific to Indian rivers at different locations from the mid-course to the confluence. It is important that the system be modular and portable for use in a constantly changing river/water environment. A full-scale functional prototype has been developed, and field testing has been carried out to bring out the efficacy of the proposed system. Also, the WSN system collected real-time water quality data that have been validated with laboratory-based experiments. The establishment of a network of low-cost river/water health monitoring system will further initiate the large-scale data collection and help create digital twins of the Indian rivers.
Energy landscapes of some matching-problem ensembles
Authors: Kahlke Till , Hartmann Alexander K 
Published: November 2023

Abstract
The maximum-weight matching problem and the behavior of its energy landscape is numerically investigated. We apply a perturbation method adapted from the analysis of spin glasses. This method provides insight into the complexity of the energy landscape of different ensembles. Erdős–Rényi graphs and ring graphs with randomly added edges are considered, and two types of distributions for the random edge weights are used. Fast and scalable algorithms exist for maximum weight matching, allowing us to study large graphs with more than 105 nodes. Our results show that the structure of the energy landscape for standard ensembles of matching is simple, comparable to the energy landscape of a ferromagnet. Nonetheless, for some of the ensembles presented here, our results allow for the presence of complex energy landscapes in the spirit of a replica-symmetry breaking scenario.
Unravelling physics beyond the standard model with classical and quantum anomaly detection
Authors: Schuhmacher Julian , Boggia Laura , Belis Vasilis , Puljak Ema , Grossi Michele , Pierini Maurizio , Vallecorsa Sofia , Tacchino Francesco , Barkoutsos Panagiotis , Tavernelli Ivano 
Published: November 2023

Abstract
Much hope for finding new physics phenomena at microscopic scale relies on the observations obtained from High Energy Physics experiments, like the ones performed at the Large Hadron Collider (LHC). However, current experiments do not indicate clear signs of new physics that could guide the development of additional Beyond Standard Model (BSM) theories. Identifying signatures of new physics out of the enormous amount of data produced at the LHC falls into the class of anomaly detection and constitutes one of the greatest computational challenges. In this article, we propose a novel strategy to perform anomaly detection in a supervised learning setting, based on the artificial creation of anomalies through a random process. For the resulting supervised learning problem, we successfully apply classical and quantum support vector classifiers (CSVC and QSVC respectively) to identify the artificial anomalies among the SM events. Even more promising, we find that employing an SVC trained to identify the artificial anomalies, it is possible to identify realistic BSM events with high accuracy. In parallel, we also explore the potential of quantum algorithms for improving the classification accuracy and provide plausible conditions for the best exploitation of this novel computational paradigm.
Analysis of population size of Pterygoplichthys multiradiatus and its intake of microplastics in streams with different land uses
Authors: Lozada-Gómez Edgar J , Pérez-Reyes Omar 
Published: November 2023

Abstract
Most freshwater habitats have been substantially affected by anthropogenic factors such as fish introductions, plastic pollution, and river regulation. Urban rivers are highly vulnerable to impacts associated with land use changes resulting from increasing urbanization, including altering habitat and establishing aquatic biological communities in these areas. In turn, the introduction of exotic species into sensitive and threatened ecosystems such as tropical urban streams and their rapid establishment, such as Pterygoplichthys multiradiatus, was used as an ecological model to determine the relative population size of the species. Also, the species was used to evaluate the presence of microplastics (MPs) in the gastrointestinal tract (GIT) of fish in rivers with different land use history. Our results showed significant differences in pleco abundance between areas with high and low urban (LU) development in the watersheds. The study demonstrated that abiotic environmental factors directly influence the relative abundance of plecos at the range and watershed scales. In a total of 42 fish examined, only 85.7% showed MPs retained in the GIT, with fibers and fragments being the most common. A total of 22 pieces of microplastic were identified with Nile Red staining by slide analysis. A significant difference was found between the abundance of microplastic ingested per total fish length between streams with high and LU development reaches. Therefore, in relatively small amounts, microplastic ingestion appears to be common in P. multiradiatus species, regardless of the habitat in which they are found and the diet present.