bluuebunny/crossref_metadata_2025_split huggingface dataset:
Languages in China link climate, voice quality, and tone in a causal chain
Authors: Liang Yuzhu , Wang Lining , Wichmann Søren , Xia Quansheng , Wang Shuai , Ding Jun , Wang Tianheng , Ran Qibin 
Published: July 2023

AbstractAre the sound systems of languages ecologically adaptive like other aspects of human behavior? In previous substantive explorations of the climate–language nexus, the hypothesis that desiccation affects the tone systems of languages was not well supported. The lack of analysis of voice quality data from natural speech undermines the credibility of the following two key premises: the compromised voice quality caused by desiccated ambient air and constrained use of phonemic tone due to a desiccated larynx. Here, the full chain of causation, humidity→voice quality→number of tones, is for the first time strongly supported by direct experimental tests based on a large speech database (China’s Language Resources Protection Project). Voice quality data is sampled from a recording set that includes 997 language varieties in China. Each language is represented by about 1200 sound files, amounting to a total of 1,174,686 recordings. Tonally rich languages are distributed throughout China and vary in their number of tones and in the climatic conditions of their speakers. The results show that, first, the effect of humidity is large enough to influence the voice quality of common speakers in a naturalistic environment; secondly, poorer voice quality is more likely to be observed in speakers of non-tonal languages and languages with fewer tones. Objective measures of phonatory capabilities help to disentangle the humidity effect from the contribution of phylogenetic and areal relatedness to the tone system. The prediction of ecological adaptation of speech is first verified through voice quality analysis. Humidity is observed to be related to synchronic variation in tonality. Concurrently, the findings offer a potential trigger for diachronic changes in tone systems.
The association between Dark Triad and pro-environmental behaviours: the moderating role of trait emotional intelligence (La asociación entre la Tríada Oscura y las conductas proambientales: el papel moderador de la inteligencia emocional rasgo)
Authors: Giancola Marco , Palmiero Massimiliano , D’Amico Simonetta 
Published: July 2023

Human activity represents the main reason for several environmental issues, including the acceleration of climate change and the loss of biodiversity. Identifying personal characteristics and resources underpinning people’s disposition towards pro-environmental behaviours (PEB) can represent a valuable tool to cope with today’s environmental crisis. The current study aimed to deepen the interplay between the Dark Triad and PEB, addressing the moderating role of Trait Emotional Intelligence (Trait EI). A sample of 200 individuals ( M age = 20.37, SD age = 1.46, 51.5% females) participated in this cross-sectional web-based research. Results revealed a negative association between the Dark Triad and PEB, whilst Trait EI moderated such an interplay, dampening the negative effect of the Dark Triad. These findings suggest that Trait EI, by reappraisal processes and emotion regulation strategies, allows people to model their behavioural responses positively, facilitating the engagement to PEB. Limitations and future directions were considered.
No-go theorem for static configurations of two charged dust species
Authors: Aceña Andrés , Cardin Guntsche Bruno , Gentile de Austria Ivan 
Published: July 2023

Abstract
We consider static spacetimes with no specific spacial symmetry where the matter content consists of two charged dust species. This comes motivated by the fact that static configurations are possible with one dust, but only if it is electrically counterpoised dust (ECD). In order to have such dust, the quotient between electric charge density and mass density needs to be fine-tuned to a value that is far less than the charge-mass quotient for any known particle. Here we prove that there are no static configurations with two dust species unless each one is ECD. This shows that ECD spacetimes cannot be made with matter that has on average the correct charge-mass ratio, but that the underlying particles must have such ratio.
Deep learning-based boundary effect filtering for nanometric roughness of diamond-turned micro-structured surface
Authors: Zhu Guangqiang , Guo Pan , Xiong Zhiwen 
Published: July 2023

Abstract
The functional performance of micro-structured surfaces manufactured by diamond turning is closely related to their nanometric surface roughness. Evaluating the surface roughness is crucial for determining the workpiece’s functionalities. However, conventional filters like wavelet and Gaussian filters can result in a boundary effect that affects the evaluation result when extracting surface roughness from micro-structured surface. To eliminate this boundary effect, a filter that combines deep learning with spectrum analysis for extracting nanometric surface roughness from micro-structured surfaces is proposed. First, the theoretical modeling of the method used for micro-structured surface filtering which contains spectrum analysis and deep learning structure is described in detail. Second, diamond turning experiment based on the designed micro-structured surface is performed for verifying the proposed method. Finally, the nanometric surface roughness without boundary effect is obtained by the proposed method and the filtering result is compared with the one obtained by the traditional filter. The result not only shows that the proposed method can achieve effective extraction for nanometric surface roughness, but also the values of the evaluation parameters are accurate and reliable compared with those obtained by the Gaussian regression filter which has the boundary effect. Significantly, the proposed method could fundamentally eliminate the boundary effect, thus improving the evaluation for nanometric surface roughness of micro-structured surface.
Carbon dots stabilized photoluminescent blue phase liquid crystals
Authors: Chen Ying , Cui Huaruo , Duan Ran , Tang Ruiqi , Tong Yingping , Zhao Dongyu , He Wanli 
Published: July 2023

Abstract
Blue phase liquid crystals (BPLCs) have significant potential in the field of liquid crystal displays (LCDs) and are proposed as potential next-generation of LCDs candidates. However, BPLCs do not emit light directly and need an extra backlight device. As a result, the blue phase liquid crystal display retains the disadvantages of low brightness and low energy efficiency, which remarkably limit its application. Recently, as a kind of novel fluorescent carbon nanomaterials, carbon dots (CDs) have captured considerable attention because of their excellent optical properties. Here, CDs were directly synthesized by a simple solvothermal method and introduced into BPLCs. By combining the excellent optical properties of CDs with the blue phase liquid crystal system, the photoluminescent blue phase liquid crystals (CDs-BPLCs) with self-photoluminescence are prepared. Meanwhile, the stability of BPLCs can be improved by CDs. Such CDs-BPLCs have enormous potential in the development of novel energy-saving display devices.
Tunable emission glass ceramic nanocomposites via devitrification of glassy Na2O-GeO2-MnO2 for optoelectronic and optical limiting applications
Authors: Morad Ibrahim , Harby Amany E , Ali H Elhosiny , El-Desoky M M 
Published: July 2023

Abstract
Manganese (IV) ion has been deemed a functional non-rare-Earth activator for the generation of red emissions, while the oxide and fluoride hosts that provide suitable sites for Mn4+ have to be prepared with usually rigorous control of reaction conditions, including redox equilibrium and temperature. In this study, the parent glass with 20Na2O- 80GeO2- 0.1 MnO2, in mol% composition is prepared via conventional melt-quenching, and the devitrification of the glass is induced by thermal treatment. The capability of appropriate thermal treatment to transform glasses into glass-ceramic nanocomposites (GCNs) with crystallites smaller than 21 nm was confirmed by XRD measurements. An enhancement in the optical characteristic of the GCNs is induced owing to the modifications in the microstructure. Tauc’s and ASF models were used to calculate the direct allowed transition energy. Localized states in the forbidden region cause the decrease in the glass ceramic’s bandgap (E

g

opt), as illustrated by the Urbach energy (Eu) values. Optical absorption parameters and the relation between transition energy and refractive index (n) were investigated. The increase in heat treatment temperature induces an improvement in the nonlinear (X(3)) susceptibility and (n(2)) refractive parameters. The synthetic method demonstrated here for Na2Ge4O9:Mn4
+ might be extended for the synthesis of other phosphors-containing activators with a high oxidation state. Moreover, Optical Cut-Off characteristics (OCC) revealed that the sample reduces the light transmission intensity by higher heat treatment temperature. The results suggest that 540° heat-treated samples are encouraging materials in a variety of optoelectronics applications, and mainly optical apparatus.
Completely entangled subspaces from Moore-like matrices
Authors: Nawareg Mohamed 
Published: July 2023

Abstract
Construction of completely entangled subspaces (CES) has gained a considerable attention, recently. These subspaces which contain only entangled states are of great importance for entanglement theory and also provide a valuable resource for quantum information processing tasks. The results of [Proc. Math. Sci., 114, 365 (2004)] and in particular using the properties of certain matrix, namely Vandermonde matrix, to build CES motivated us to search for new distinct CES's. Mainly, the stimulating question of whether there are other matrices that can lead to building CESs emerged. In the current paper we give an affirmative answer to this question by providing a method for constructing CESs using the properties of Moore-like matrices. In addition, we give few examples for the proposed subspaces in case of 3-qubit and 2-qutrit systems. Then a comparison between the resulted subspaces and those constructed from Vandermonde matrix has been given for the systems understudy. The results shows that the two methods give identically the same subspaces in case of multiqubit systems. However, for multipartite systems with local dimensions d ≥ 3 the two methods gave unequivalent CES subspaces. Interestingly, the properties of the proposed Moore-like matrices provided a far rich way for constructing CES subspaces. It leads to generating as many distinct CES's as we want for each multipartite quantum system. This is in contrary to Vandermonde-based method which can give only one CES per system. In addition, the basis for each of the given examples has been obtained in a simple form. Moreover, we evaluated the entanglement of uniformly mixed states over the obtained subspaces in terms of concurrence and geometric measure of entanglement. Since different parameters of a Moore-like matrix lead to distinct CESs for the same system, the realized results can open the door for more investigations and/or applications.
A simple alternative in approximation and asymptotic expansion by exponential/trigonometric functions
Authors: Mironov Sergej L 
Published: July 2023

Abstract
Function approximation plays a crucial role in applied mathematics and mathematical physics, involving tasks such as interpolation, extrapolation, and studying asymptotic properties. Over the past two centuries, several approximation methods have been developed, but no universal solution has emerged. Each method has its own strengths and weaknesses. The most commonly used approach, rational Padé approximants, has limitations, performing well only for arguments x < 1 and often containing spurious poles. This report introduces a new and straightforward procedure for exponential/trigonometric approximation that addresses these limitations. The method demonstrates accurate fitting capabilities for various functions and solutions of second-order ordinary differential equations, whether linear or nonlinear. Moreover, it surpasses the performance of Padé approximants. Notably, the proposed algorithm is remarkably simple, requiring only four values of approximating functions. The provided examples show case the potential of this method to offer a straightforward and reliable approach for a wide range of tasks in applied mathematics and mathematical physics.
Stellar limits on scalars from electron-nucleus bremsstrahlung
Authors: Bottaro Salvatore , Caputo Andrea , Raffelt Georg , Vitagliano Edoardo 
Published: July 2023

Abstract
We revisit stellar energy-loss bounds on the Yukawa couplings g
B,L of baryophilic and leptophilic scalars ϕ. The white-dwarf luminosity function yields g
B ≲ 7 × 10-13 and g
L ≲ 4 × 10-16, based on bremsstrahlung from 12C and 16O collisions with electrons. In models with a Higgs portal, this also implies a bound on the scalar-Higgs mixing angle sinθ ≲ 2 × 10-10. Our new bounds apply
for mϕ
≲ 1 keV and are among the most restrictive ones, whereas for mϕ
≲ 0.5 eV, long-range force measurements dominate. Besides a detailed calculation of the bremsstrahlung rate for degenerate and semi-relativistic electrons, we prove with a simple argument that non-relativistic bremsstrahlung by the heavy partner is suppressed relative to that by the light one by their squared-mass ratio. This large reduction was overlooked in previous much stronger bounds on g
B. In an appendix, we provide fitting formulas (few percent precision) for the bremsstrahlung emission of baryophilic and leptophilic scalars as well as axions for white-dwarf conditions, i.e., degenerate, semi-relativistic electrons and ion-ion correlations in the “liquid” phase.
Comparative analysis of machine learning techniques for so2 prediction modelling
Authors: Shaziayani W N , Noor N M , Azan S , Ul-Saufie A Z 
Published: July 2023

Abstract
Sulphur dioxide (SO2) is produced both naturally and by human activity. The primary natural resource is derived from volcanoes. The burning of fossil fuels is the primary anthropogenic source (especially coal and diesel). Therefore, a reliable and accurate predicting method is essential for an early warning system for SO2 atmospheric concentration. There are still limited studies in Malaysia that use machine learning methods to predict SO2 concentrations. With the aid of machine learning, this study seeks to develop and predict future SO2 concentrations for the next day using the maximum daily data from Klang, Selangor. RapidMiner Studio is the data mining tool used for this research work. Based on the results, it showed that the SVM model was the best guide to be used compared with the other five models (GLM, DL, DT, GBT, and RF). The performance indicators showed that the SVM model was adequate for the next day’s prediction (R2 = 0.77, SE = 8.26, REL = 18.69%, AE = 1.46, and RMSE = 2.82). The developed model in this research can be used by Malaysian authorities as a public health protection measure to give Malaysians an early warning about the problem of air pollution. The goal of predictive modelling is to make a reasonable prediction of the variable of interest, and frequently, to determine how much the independent variable contributed to the dependent variable. The results also showed that the previous SO2 concentrations were one of the most influential parameters used to predict the future SO2 concentrations.
Kosi-Ganga-River-Creek 35 years’ Additive Time Series and Seasonal Analysis Using Remote Sensing Data.
Authors: Tiyasha Tiyasha , Bhagat Suraj Kumar , Emmanuel Babalola Olusola , Ramaswamy Krishnaraj 
Published: July 2023

Abstract
Climate change effect can be observed around the globe but the most devastation is faced by economically weak and farmers in India. Kosi-Ganga-River-Creek area has witnessed frequent floods and heavy rainfall over the years. The study area is the creek where Kosi and Ganga river joins together in the Katihar district of Bihar, India. Two variables, total daily precipitation (PTot) and max daily air temperature (Tmax) (remote sensing climatological data) were fetched from ERA5 dataset using Google Earth Engine Coder to assess the climate change in the study area. The data shows stochastically fitting in further forecasting methods is as important to conduct as settings the approach reliability. This study applied exclusively time series analysis (such as decomposing a time series, seasonal subseries, and autocorrelation function (ACF) and lag time series) along with descriptive statistical analysis for both parameters of the dataset. The study found the changes in Tmax over the 30-year time period show significant variability in temperature. Tmax peaked during the year of 1990, 1995, 1998, 2004, 2008, 2012 and 2014 whereas a drop in Tmax before and after such rise was observed in the series pattern. The exponential increase in the seasonal monthly precipitation (Ptot) also correlates with the temperature increase. However, the increase is more during non-monsoon seasons like January, February and March. Although significant reduction in Ptot can be observed during May, June, July, August and September. The changes in Ptot and Tmax have caused severe damage to the agriculture and economy of the area. Thus it is essential to study climate change and forecast the probable changes in future along with other climatological conditions to mitigate the extreme weather effect. Without proper study, monitoring, assessment and management policies in Bihar will most likely continue to suffer due to agricultural losses, lively hood, life, economic losses and infrastructure.
Measurements and statistical analysis of CO2 efflux and related parameters from crop and forested lands
Authors: Lucian Laslo , Monica Matei , Mădălina Boboc , György Deák , Ioana Cătuneanu , Natalia Enache , Rahim Nurliza 
Published: July 2023

Abstract
The LULUCF sector (land use, land use change and forestry) can act as a carbon dioxide (CO2) sink, either by increasing the removal of greenhouse gasses from the atmosphere or by reducing their current emissions. This paper intends to analyze the results of the CO2 monitoring methodology by the chamber method in order to estimate the effect of different land use cover and management techniques. For this purpose, seasonal CO2 efflux field measurements were conducted in two types of ecosystems (forested land and wheat crop) located in the adjacent area of Bucharest. CO2 efflux was analysed for each land cover in relation to the physical characteristics of the soil, respectively soil temperatures and humidity, but also together with the main weather parameters. The measurements were performed simultaneously in both land covers at relevant time intervals. The difference in measured values between the two ecosystems was recorded but the results of the statistical analysis showed a lack of differences in the correlation between the CO2 efflux. This indicates that the CO2 efflux can be affected by particular elements of the environment which facilitates differences in soil temperature and humidity in the same weather conditions.
Determination of the hybridization rate of Acipenser stellatus and Huso huso based on microsatellite analysis
Authors: Matache Razvan , Holban Elena , Gyorgy Deak , Prangate Raluca , Matei Monica , Boboc Madalina , Popescu Raoul , Izhar Tengku Nuraiti Tengku 
Published: July 2023

Abstract
On the basis of the in situ analysis of the sturgeon condition within the Lower Danube River, the aim was to carry out a research that would complement the results obtained from the monitoring and ultrasonic tagging methods. Thus, DNA samples were taken selectively from each ultrasonically tagged specimen in order to determine whether or not there is a possibility of hybridization between the species Acipenser stellatus and Huso huso. Thus, the microsatellite loci were investigated and certain parameters like diagnostic alleles, repeated sequences and specific molecular markers which were used to determine the degree of hybridism.
Assessing the self-healings properties of nano -Ca(OH)2 – TiO2 – ZnO materials used in monuments conservation works
Authors: Mihaela-Andreea Moncea , Gyogy Deak , Florina-Diana Gheorghe (Dumitru) , Nor Norazian Mohamed , Nurliza Rahim 
Published: July 2023

Abstract
Consolidates based on Ca(OH)2 have been prepared as macro- and/or nanoparticles dispersed in different alcohols, regardless of the precursor nature. Their efficiency is related to the small dimensions of the particles and the dispersion media, which allows their penetration into the deteriorated material substrates, as well as to an increased reactivity towards CO2. Besides the consolidating effect there is a strong need for the newly developed materials to also tackle other properties like self cleaning and antimicrobial activity, especially with regards to white monuments. In this context the present work highlights the effect of treating with stable alcoholic suspension containing nano - Ca(OH)2 – TiO2 – ZnO the physical support models consisting of mortar cubic samples from hydraulic / aerial lime, a commonly used materials in consolidation works.
Solid Waste Characterization for Identifying Recyclable Materials at Peruvian Military Headquarters
Authors: Balbuena Jose , Segura Homar , Rojas Gladys , Sosa Jorge 
Published: July 2023

Abstract
In Peru the solid waste management is an important task for the government, which have been increasing over the years; however, some activities of the solid waste management are not performed. Most of the solid waste ends incinerated or in the landfill, in consequence recyclable material are not recuperated and reused. According to the Peruvian Ministry of Environment only 1.9% of the usable materials were recycled, and public institutions are not unrelated to this recycling issue. The Peruvian Military Headquarter is a public institution focused mainly in all the administrative work of the Peruvian army, so most of the solid waste is office material with high potential to be recycled. In this article, a solid waste segregation and characterization process was included in the former solid waste management of the Peruvian Army Headquarters with the purpose of identifying potential recyclable materials. The results of the characterization and segregation process allowed to recognize three classes of recyclable solid waste, in addition, it was estimated that an approximate of 798 kg of usable material is produced per week at the military facilities.