bluuebunny/crossref_metadata_2025_split huggingface dataset:
Constructionalized rhetorical questions from negatively biased to negation polarity
Authors: Bardenstein Ruti 
Published: October 2022

AbstractHow does a rhetorical question become an adverbialnpidown-toner? This paper focusses on a specific type of grammaticalization process: the grammaticalization of a rhetorical constructionà laGoldberg (1995), namely, a “constructionalized rhetorical question” (Bardenstein 2018) which turns into a down-toning adverbial. The particular focus of this paper is on the Hebrewlo mi yodea ma(‘not who knows what’; i.e., ‘not of high quality/quantity’) which has developed from the constructionalization of two earlier constructions. Initially, the biblical question-phrasemi yodea(‘who knows’) constructionalized as “negatively biased” (Ladusaw 1996). This is a rhetorical question, to which the obvious answer is negative, and in our casemi yodeacan be interpreted as ‘nobody knows’. Most often, it is the case of “not knowing” what the future holds. Then, once a direct objectma(‘what’) was added, it constructionalized once again into a strengthening/ intensification constructionmi yodea ma(‘who knows what’), conveying high quantity/quality. This happened since “not knowing what is to happen” can be interpreted as “anything can happen” and this interpretation was used rhetorically to strengthen one‘s utterance. Lastly,mi yodea ma(‘who knows what’) constructionalized under the scope of the negation operatorlo(‘not’), into a versatile down-toning adverbial:lo mi yodea ma. Since it is very difficult to negate a strongly positive construction without implying that a less positive one is to some extent true, this negated construction became a versatile down-toner.
Power dynamics and pragma-cultural sources of unsourced evidentiality in Persian
Authors: Zaini Amin , Shokouhi Hossein 
Published: October 2022

Abstract
This paper investigates participants’ reflections on power relations embedded in the cultural-pragmatics of
unsourced evidentials in Persian texts. Using Fairclough’s (2013) critical discourse
analysis, we adopted Hanks’ (2018) ethnography of referential practices and Foucault’s (1980) power dynamics to analyse 16 Persian texts through follow up interviews
and focus group discussions on two opposing pairs of texts – one pair on Iranian national identity versus Persian literature, and
another on Iranian politics versus religion. Our analysis revealed that unsourced evidentials appear in Persian predominantly due
to censorship and sometimes due to deliberate use by authors (e.g., for winning an argument). Text consumers often overlook
unsourced evidentials while reflecting on politico-religious referents, such as inequalities and bigotry. This has roots in
Persian literature, religion, and politics of power embedded in the culture, and the participants’ attention to inequalities and
discriminations has roots in referential practices in current Iranian discourse.
Terminological problems of terminology users
Authors: Žagar Karer Mojca , Fajfar Tanja 
Published: October 2022

Abstract
Terminological counselling is ad hoc terminology work that provides the terminology user with a relatively quick
and credible answer to a terminological question. In this article, we present the Terminological Counselling Service offered by
the Terminology Section of the ZRC SAZU Fran Ramovš Institute of the Slovenian Language since 2013. Through a web form, users
submit a question, which is answered by five terminologists in a joint opinion. For this article, all 75 questions received by the
Terminological Counselling Service in 2020 were examined. They were analysed in terms of the subject fields in which the users
have terminological problems, the institutions the users are affiliated with, and the content of the questions. We believe that
the Terminological Counselling Service plays an important role, as the number of users is increasing year by year.
Mn substitution in the topological metal Zr2Te2P
Authors: Oladehin O , Feng K , Haddock J W , Galeano-Cabral J , Wei K , Xin Y , Latturner S E , Baumbach R E 
Published: October 2022

Abstract
Results are reported for Mn intercalated Zr2Te2P, where x-ray diffraction , energy dispersive spectroscopy, and transmission electron microscopy measurements reveal that the van der Waals bonded Te–Te layers are partially filled by Zr and Mn ions. This leads to the chemical formulas Zr0.07Zr2Te2P and Mn0.06Zr0.03Zr2Te2P for the parent and substituted compounds, respectively. The impact of the Mn ions is seen in the anisotropic magnetic susceptibility, where Curie–Weiss fits to the data indicate that the Mn ions are in the divalent state. Heat capacity and electrical transport measurements reveal metallic behavior, but the electronic coefficient of the heat capacity (γ
Mn ≈ 36.6 mJ (mol·K2)−1) is enhanced by comparison to that of the parent compound. Magnetic ordering is seen at

T

M

≈
4

K, where heat capacity measurements additionally show that the phase transition is broad, likely due to the disordered Mn distribution. This transition also strongly reduces the electronic scattering seen in the normalized electrical resistance. These results show that Mn substitution simultaneously introduces magnetic interactions and tunes the electronic state, which improves prospects for inducing novel behavior in Zr2Te2P and the broader family of ternary tetradymites.
Mangasese doped polypyrole nanoparticels for photothermal/chemodynamic therapy and immune activation
Authors: Li Zhuoxin , Zhou Lingyi , Qin Yuyan , Sun Xin , Li Qianzhe , Yang Mengyu , Yu Beibei , Du Fengyi , Zhang Miaomiao 
Published: October 2022

Abstract
Photothermal therapy (PTT) is a promising treatment that efficiently suppresses local cancer, but fails to induce a robust antitumor immune response against tumor metastasis and recurrence. In this study, a NIR responsive nano-immunostimulant (Mn/A-HP NI) is fabricated by entrapping manganese and azo-initiator (AIPH) into hyaluronic acid-based polypyrrole nanoparticle. The as-prepared Mn/A-HP NIs with a high photothermal conversion efficiencey of 20.17% dramatically induced the imunogenic cell death of tumor cells and triggered the release ATP and HMGB1. Meanwhile, the hyperthermia induced AIPH decomposition to produce alkyl radicals which further destroyed cancer cells. Furthermore, the Mn/A-HP NIs were capable of promoting the maturation and antigen cross-presentation ability of dendritic cells. Consequently, the multifunctional Mn/A-HP NIs provided a combined treatment via integrating PTT/chemo-dynamic therapy and immune activation for tumor therapy.
Measurements and interpretation of EEDF in a discharge with a hollow cathode in helium: effect of the measuring probe and the anode on the form of the distribution function
Authors: Andreev S N , Bernatskiy A V , Dyatko N A , Kochetov I V , Ochkin V N 
Published: October 2022

Abstract
Experimental and theoretical studies of the electron energy distribution function in hollow cathode discharge plasma have been carried out. The discharge was ignited in helium at a pressure of 0.75 Torr, and the distance between the rectangular hollow cathode and anode was 3 cm. The measurements were performed using the probe method at various distances from the anode. The obtained distribution functions turned out to be strongly depleted in low-energy electrons. As applied to the experimental conditions, the role of two effects that can lead to such depletion was analyzed: instrumental distortions of the distribution function due to the electron sink on the probe and the absorption of electrons by the anode. According to the calculations, under the considered conditions, the main contribution to the depletion of the measured distribution functions by the slow electrons comes from the second effect.
Formations of anode double layer and ion beam in bipolar-pulse HiPIMS (BP-HiPIMS)
Authors: Han Mingyue , Luo Yang , Li Hua , Tang Ling , Li Duoduo , Gu Jiabin , Li Liuhe , Xu Ye , Luo Sida 
Published: October 2022

Abstract
As an emerging ion acceleration plasma source, the bipolar-pulse high power impulse magnetron sputtering (BP-HiPIMS) discharge provides an effective approach to improve deposited ion energy and tailor the film properties for a large range of applications. The ion acceleration mechanism in BP-HiPIMS discharge is very vital but still unclear now. In the present work, the ion acceleration mechanism is systematically investigated via the experimental measurements, particle-in-cell/Monte Carlo collision (PIC-MCC) simulation, and theoretical model together. In the experiment part, the floating potential V
f and the ion velocity distribution function (IVDF) have been measured via the Langmuir probe and the retarding field energy analyser (RFEA) respectively. The measurements show that the V
f at the downstream drops from +80 V to ∼+40 V after applying the positive pulse for ∼75 μs, suggesting the formation of the double layer. Correspondingly, the IVDF changes from the unimodal Maxwellian distribution to the bimodal distribution, suggesting the existence of the ion beam. The PIC-MCC simulation results clearly show the development process of the double layer and ion beam. A theoretical model is introduced to explore the complex plasma dynamics in the experiment and simulation. The theoretical results illustrate that (i) the sheath in front of the target surface prefers an ion sheath rather than an electron sheath, (ii) the stable position of the double layer boundary is in the magnetic null point, (iii) the potential drop across the boundary is influenced by the gas pressure p. These important theoretical results are well consistent with the measurements and simulation. In addition, the oscillation of the double layer boundary and the instabilities of the ions are briefly discussed by combining the previous works.
The multipole resonance probe: simultaneous determination of electron density and electron temperature using spectral kinetic simulation
Authors: Gong Junbo , Friedrichs Michael , Oberrath Jens , Brinkmann Ralf Peter 
Published: October 2022

Abstract
The multipole resonance probe (MRP) is an innovative sensor suitable for monitoring and control of industrial plasma processes. It is a realization of ‘active plasma resonance spectroscopy’, a class of electromagnetic diagnostic methods which employ the ability of plasmas to resonate on or near the plasma frequency. A signal in the GHz range is fed to the plasma via an electrical probe; the spectral response S(ω) is recorded, and then evaluated with a mathematical model to obtain information on the internal plasma parameters. In this study, a spectral kinetic model of the MRP is discussed. It is superior to previous analyses based on the Drude model, as it allows to determine not only the electron density n
e but also the electron temperature T
e from S(ω). Good agreement with independent measurements shows the suitability of the model.
Data-driven Seeing Prediction for Optics Telescope: from Statistical Modeling, Machine Learning to Deep Learning Techniques
Authors: Ni Wei-Jian , Shen Quan-Le , Zeng Qing-Tian , Wang Huai-Qing , Cui Xiang-Qun , Liu Tong 
Published: October 2022

Abstract
Predicting seeing of astronomical observations can provide hints of the quality of optical imaging in the near future, and facilitate flexible scheduling of observation tasks to maximize the use of astronomical observatories. Traditional approaches to seeing prediction mostly rely on regional weather models to capture the in-dome optical turbulence patterns. Thanks to the developing of data gathering and aggregation facilities of astronomical observatories in recent years, data-driven approaches are becoming increasingly feasible and attractive to predict astronomical seeing. This paper systematically investigates data-driven approaches to seeing prediction by leveraging various big data techniques, from traditional statistical modeling, machine learning to new emerging deep learning methods, on the monitoring data of the Large sky Area Multi-Object fiber Spectroscopic Telescope (LAMOST). The raw monitoring data are preprocessed to allow for big data modeling. Then we formulate the seeing prediction task under each type of modeling framework and develop seeing prediction models through using representative big data techniques, including ARIMA and Prophet for statistical modeling, MLP and XGBoost for machine learning, and LSTM, GRU and Transformer for deep learning. We perform empirical studies on the developed models with a variety of feature configurations, yielding notable insights into the applicability of big data techniques to the seeing prediction task.
Detecting the locus of auditory attention based on the spectro-spatial-temporal analysis of EEG
Authors: Jiang Yifan , Chen Ning , Jin Jing 
Published: October 2022

Abstract

Objective. Auditory attention decoding (AAD) determines which speaker the listener is focusing on by analyzing his/her EEG. Convolutional neural network (CNN) was adopted to extract spectro-spatial-feature (SSF) from short-time-interval of EEG to detect auditory spatial attention without stimuli. However, the following factors are not considered in SSF-CNN scheme. (a) Single-band frequency analysis cannot represent the EEG pattern precisely. (b) The power cannot represent the EEG feature related to the dynamic patterns of the attended auditory stimulus. (c) The temporal feature of EEG representing the relationship between EEG and attended stimulus is not extracted. To solve these problems, SSF-CNN scheme was modified. Approach. (a) Multiple-frequency bands, but not a single alpha frequency band, of EEG, were analyzed to represent the EEG pattern more precisely. (b) Differential entropy, but not power, was extracted from each frequency band to represent the disorder degree of EEG, which was related to the dynamic patterns of the attended auditory stimulus. (c) CNN and convolutional-long-short-term-memory (ConvLSTM) were combined to extract spectro-spatial-temporal features from the 3D descriptor sequence constructed based on the topographical activity maps of multiple-frequency bands. Main results. Experimental results on KUL, DTU, and PKU with 0.1 s, 1 s, 2 s, and 5 s decision windows demonstrated that: (a) The proposed model outperformed SSF-CNN and state-of-the-art AAD models. Specifically, when the auditory stimulus was unavailable, AAD accuracy could be enhanced by at least

3.25
%

,

3.96
%

and

5.08
%

on KUL, DTU, and PKU, respectively, compared with the baselines. And, on KUL, the longer decision window corresponded to lower enhancement, while on both DTU and PKU, the longer decision window corresponded to higher enhancement, except for two cases when decision window length was 2 s on PKU or 5 s on DTU. (b) Each modification contributed to the performance enhancement. Significance. DE feature, multi-band frequency analysis, and ConvLSTM-based temporal analysis help to enhance AAD accuracy.
A slice-test demonstrator for the upgrade of the CMS drift tubes at High-Luminosity LHC
Authors: Battilana C. 
Published: October 2022

Abstract
Drift Tubes (DT) detectors equip the CMS muon system barrel region serving both as offline tracking and triggering devices. Existing DT chambers will operate throughout High-Luminosity LHC, but, in order to withstand event rates and integrated doses far beyond the initial design specification, an upgrade of the current readout and trigger electronics is planned. In the upgraded system, time-to-digital converters will stream hits to new back-end boards that, beyond event matching, will perform online tracking of trigger segments exploiting the ultimate DT cell resolution. During the second LHC long shutdown, prototypes of the aforementioned electronics were installed in four DT chambers with the same azimuthal acceptance, instrumenting a demonstrator of the HL-LHC DT upgrade (DT slice-test). In this report, the motivation for such an upgrade will be highlighted, and the status of the DT slice-test operation, as well as its performance measured with cosmic muons, will be presented. Plans towards future developments of the demonstrator throughout the LHC Run-3 will also be discussed.
A 64-channel high-time resolution digital waveform sampling electronic system based on DRS4 for positron burst annihilation lifetime measurement
Authors: Wang M. , Bian Z. , Wang Y. , Li D. , Li X. , Cai J. , Wang P. , Wang B. , Cao X. , Zhang Z. , Kuang P. , Liu F. , Zhang H. , Yu X. , Chen T. , Yun X. , Wei L. 
Published: October 2022

Abstract
Measurements of the positron burst annihilation lifetime place high demand on the time discrimination of electronics. DRS4 chips based on switched capacitor array technology (SCA) are used to develop an electronic system with a total (2048 + 256)-channel sampling rate up to 5.12 GSPS, which can provide better time resolution and flexible data processing. The electronic system is modular in design and includes a front-end waveform sampling module (WSM) with 32 waveform sampling boards, each with 64 input channels plus 8 additional channels(one per DRS4 chip) for time calibaion, in addition to a back-end data processing module (DPM). The fan-out circuit integrated with the DPM will fan out the T0 signal in multiple stages at the time of positron burst generation and provide a common starting time and trigger signal for every DRS4 chip in the WSM. In this electronic system, the jitter of T0 after three-stage fan-out is 18 ps. After DC offset correction and time interval nonuniformity calibration, the coincidence time resolution with other channels is about 21 ps (σ). In addition, we correct the time difference of different channels of different chips, which is caused by different trace lengths of the multi-level fan-out T0 signal and the different fabrication processes. The electronic system is used to evaluate a 64-pixel detector module, and the time resolution of the detection module is measured to be 44 ps (σ).
Macroscopic fluctuations of a driven tracer in the symmetric exclusion process
Authors: Dandekar Rahul , Mallick Kirone 
Published: October 2022

Abstract
The dynamics of an asymmetric tracer in the symmetric simple exclusion process (SEP) is mapped, in the continuous scaling limit, to the local current through the origin in the zero-range process with a biased bond. This allows us to study the hydrodynamics of the SEP with an asymmetric tracer with a step initial condition, leading to the average displacement as a function of the bias and the densities on both sides. We then derive the cumulant generating function of the process in the high-density limit, by using the macroscopic fluctuation theory and obtain agreement with the microscopic results of Poncet et al (2021). For more general initial conditions, we show that the tracer variance in the high-density limit depends only on the generalized susceptibility in the initial condition.
One-pot ultrasonicated synthesized lead-less hybrid perovskite nanocrystals: structural, morphological and optical analysis
Authors: Singh Rajan Kumar , Gouraha Sourabh , Singh Anupriya , Jain Neha , Singh Jai 
Published: October 2022

Abstract
In contemporary years, hybrid lead halide perovskites nanocrystals (HPNCs) have emerged as core materials for low-cost solution-processable photovoltaic, light-emitting devices as well as in other optoelectronic fields, such as high-efficiency perovskite fluorescent quantum dots (quantum dot, QD). Although the high efficiency makes them an attractive active material, reducing the Pb-toxicity and enhancing the stability while sustaining the efficiency of the HPNCs devices is important for their successful commercialization in future. Here, we report for the first time the fabrication of excellent quality Pb-less, MAPb1-x
Sn
x
Br3 (x = 0 to 0.50) perovskite NCs by one-pot ultrasonication method. Interestingly, an outstanding photoluminescence quantum yield (PLQY) of 94% and better lifetime performance than 100% Pb-based HPNCs is obtained for Pb-less HPNCs. The successful incorporation of Sn MAPb1-x
Sn
x
Br3 HPNCs is confirmed by energy-dispersive x-ray (EDX) and x-ray photoelectron spectroscopy (XPS) analysis. Although the particle size for Pb-less HPNCs was different, the change in morphology and structure was minimal as confirmed by transmission electron microscopy (TEM) analysis. The optical analysis indicated bandgap tuning, which is evident by the blue shift of the band edge in absorbance spectra and photoluminescence peak after incorporating Sn2+. To the best of our knowledge, this is the highest achieved PLQY for Sn-substituted hybrid Pb-based HPNCs. The synthesis by using one pot ultrasonication method might be helpful for large-scale HPNCs production and can pave the way for future research on less-toxic and stable alternatives to Pb-based HPNCs.
Investigation of friction welding parameters of AISI 304L/Ti-6AL-4V joints
Authors: Kumar R Ramesh , Babu J M , Saleh Bahaa , Chandrashekar A , Saxena Kuldeep K , Deepak A , Razak Abdul , Buradi Abdulrajak , Ketema Abiot 
Published: October 2022

Abstract
The present paper focuses on evaluating the bonding strength interfaces between the contact materials such as AISI 304L and Ti-6Al-4V via. the friction welding (FW). Experimental tests are performed by considering the process parameters such as friction time, rotational speed and friction pressure, mechanical properties were evaluated. The rotational speed of 1800, 1600, 2100, 2300 and 2500 rpm were considered in the study. The response surface methodology (RSM) is used to predict the outcomes of the work. Experimental tests were revealed that the friction pressure of 160 MPa, 7 sec of friction time and speed of 2300rpm are the optimal parameters based on the joint strength. Also, observed that the aluminum interlayer thickness of 1.25 μm on the Ti-6Al-4V side and 1.38 μm on the AISI 304L side. The tensile strength of 143.39 MPa was noticed at the interface area. The RSM response generates the curved potential line frequency range with 6.5% elongations. Results confirm that, the response surface methodology outcomes and experimental values were in close agreement.
Enhancement of infrared shielding property of SnO2 using Sb as a dopant
Authors: Ahmad Towseef , Ansari Mohd Zubair 
Published: October 2022

Abstract
Transparent conducting oxides (TCO) are essential to the operation of advanced energy harvesting and storage devices, as well as display technology. Doped tin oxide (SnO2) exhibits enhanced optical and thermal characteristics in comparison to undoped SnO2. In this article, the cost-effective sol-gel methodology was employed in the synthesis of tin oxide (SnO2) and antimony (Sb) doped tin oxide nanoparticles. According to the XRD analysis, the tetragonal structure was maintained despite the apparent reduction in crystal size as the amount of Sb increased. In the study, the effect that Sb doping has on absorption and reflection in the visible and near-infrared regions was analyzed. The band gap of the nanoparticles was observed to broaden as the concentration of Sb doping was increased from 3.44 eV (ATO-0) to 4.62 eV (ATO-6). The results from UV–vis-NIR spectra demonstrated that the ATO films efficiently reduced the amount of infrared light that passed through them. The results of the heat-insulation test showed that ATO-coated glass outperformed uncoated glass in terms of heat insulation. Because of these characteristics, ATO could be a good replacement material, especially for solar cells and smart windows.