bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detección molecular de un fragmento del virus de lengua azul en borregos de diferentes regiones de México
Authors: Rojas Anaya Edith , Cerón-Téllez Fernando , Yáñez-Garza Luis Adrián , Gutiérrez-Hernández José Luis , Sarmiento-Salas Rosa Elena , Loza-Rubio Elizabeth 
Published: December 2022

La enfermedad de la lengua azul (LA) afecta diferentes especies de rumiantes silvestres y domésticos. En México, la enfermedad producida por el virus de la lengua azul (VLA), aún es reconocida como exótica, a pesar de que, en diferentes ocasiones se han detectado anticuerpos. El objetivo fue establecer técnicas moleculares usando un gen sintético que incluye los genes NS1 y NS3 como control positivo para establecer el diagnóstico del VLA en muestras de ovinos de diferentes regiones del país, mediante técnicas moleculares. Se obtuvieron 320 muestras totales de sangre completa de ovinos. Las muestras obtenidas se evaluaron mediante RT-PCR punto final y RT-PCR en tiempo real estableciendo las condiciones por el grupo de trabajo. Se encontraron 12 muestras positivas de ovinos a la detección de NS1; estas muestras se secuenciaron obteniendo un fragmento de 101 pares de bases. Al realizar el alineamiento se obtuvieron identidades con secuencias reportadas en el GenBank con fragmentos de NS1 desde 89 % (p= 1e-12) a 98 % (p= 4e-13), correspondientes a los serotipos 10, 11 y 12. De estas muestras, se obtuvieron dos muestras positivas de ovinos mediante el PCR tiempo real (PCR-tr), uno proveniente de Chiapas (raza Chiapas) y el otro de Tamaulipas (raza Suffolk). Los resultados de la PCRtr fueron corroborados por la CPA-SENASICA. Este trabajo, aporta por primera vez en México, la importancia de usar un gen sintético como control positivo, para realizar la detección en laboratorios oficiales BSL-2, lo cual en una emergencia sanitaria es de suma importancia.
Effect of Heated Irrigating Solutions on the Cyclic Fatigue Resistance of Reciprocating Endodontic Files
Authors: Bohaienko Renan A. , Bortolazzo Américo C. , Consani Rafael L. X. , Vivan Rodrigo R. , Silva Fabrício R. , Consani Simonides 
Published: December 2022

Objectives: The aim of this study was to evaluate the effect of heated irrigating solutions on the cyclic fatigue resistance of reciprocating endodontic files.

Materials and Methods: Reciproc Blue, ProDesign S and X1-Blue files were immersed in the irrigating solutions 5.25% NaClO and 2% chlorhexidine digluconate gel heated in oven at 37ºC for 10 min. In same conditions, saline solution was considered as control. The following groups (n=15) were considered: RSs (Reciproc Blue + saline solution); RNa (Reciproc Blue + 5.25% NaClO); RCd (Reciproc Blue + 2% Chlorhexidine digluconate gel); PSs (ProDesign S + saline solution); PNa (ProDesign S + 5.25% NaClO); PCd (ProDesign S + 2% Chlorhexidine digluconate gel; XSs (X1-Blue + Saline solution); XNa (X1-Blue + 5.25% NaClO) and XCd (X1 Blue + 2% Chlorhexidine digluconate gel). Cyclic fatigue test was performed in a device with a 60 degrees curved canal and 5 mm radius immersed in water at 37ºC. The time for file failure was recorded in seconds to calculate the number of cycles to fracture (NCF). Data were submitted to ANOVA followed by Tukey's test (α=0.05%) comparing split plots (SPSS 26.0).

Results: There was no statistically significant difference for NCF between irrigating solutions and control in all file types. ProDesign S showed greater and significant difference when compared to Reciproc Blue and X1 Blue in all irrigating solutions and control.

Conclusions: NCF value in each file type was not influenced by the solutions. Among file types, the NCF value was higher for ProDesign S and lower for X1-Blue in all solutions.

Clinical Relevance: Heated irrigating solutions is not a relevant factor in relation to fracture resistance of reciprocating endodontic files; however, the fracture was influenced by the file types.
Relationship between Sera Vitamin D, Calcium, and Magnesium Levels in Pregnant Women with and without Postpartum Depression
Authors: Mohammed Hataw A. , Muhammed Saed Hero H. , Jarallah Bushra M. 
Published: December 2022

Postpartum depression (PPD) is a significant mental health case after childbirth, distinguished by behavioral changes and emotional disturbance. PPD is a significant public issue estimated to affect 10–15% of women worldwide. The study's objective was to investigate whether low sera concentrations of vitamin D, calcium, and magnesium during the third trimester of pregnancy are associated with PPD. The study population included eighty pregnant women between the ages of 25 to 35 years. They were divided into two groups (control and depressed group). Simple samples technique collecting was used for serum collecting from the two groups. When the blood samples were taken, vitamin D level was determined using an ELISA device. Calcium and magnesium were measured by using the spectrophotometric method. A health questionnaire structure was used for screening depression after birth. After measuring pregnancy serum concentrations of vitamin D of (40) pregnant control and (40) pregnant with PPD, we found that there was no significant relationship between vitamin D concentrations and risk of PPD (p= 0.6497). Statistical analysis indicated the significant differences (p= 0.0003) between sera calcium levels of the control group as compared with the depressed group. Significant differences (p= 0.0005) in magnesium levels between the two groups were observed. Our study detected that vitamin D concentrations in the serum of women during their last trimester of pregnancy had no statistical link with their risk of PPD. Whereas direct associated with calcium and magnesium deficiency in the third trimester of pregnancy and the incidence of PPD were reported.
Isolation and Characterization of Bacillus Spp. for Plant Growth Promoting Properties
Authors: Abdullahi Salamatu , Muhammed Yahuza Gimba , Muhammad Abdurrazak , Ahmed Jamila Mashi , Shehu Dayyabu 
Published: December 2022

Abstract
A group of free-living bacteria known as plant growth-promoting rhizobacteria (PGPR) inhabit the rhizosphere and aid root development. These rhizobacteria bacteria are vital to the growth of plants and can serve as bio-fertilizer and can enhance food security through green agricultural practices. They exhibit special features which make them potential candidates as bio-fertilizer. Isolation and characterization of rhizobacteria is the first step toward their utilization as bio-fertilizers. Ten rhizobacteria from two different rice farms were isolated and characterized for plant growth promoting properties. The isolated rhizobacteria were identified morphologically, microscopically, biochemically, and molecularly. Plant’s growth promoting properties of these rhizobacteria was also analyzed which includes; Indole 3-acetic acid production (IAA), phosphate solubilisation, hydrogen cyanide production (HCN), ammonia production (NH3), and zinc solubilisation. Out of the ten isolates, three were found to have the best plant growth enhancing properties and were therefore the best candidates as bio-fertilizers. 16SrRNA study and phylogenetic analysis was performed in order to unravel the specie of these three isolates and they were identified as Bacillus subtilis, Bacillus niacini, and Bacillus cereus with accession numbers OM184294, OM1842295 and OM184296 respectively. These isolates have the potential to be used as bio-fertilizer, which would significantly contribute to food security.
Crop farmers’ coping strategies for mitigating conflicts with cattle herders: Evidence from Osun State, Nigeria
Authors: Adisa Banji Olalere , Famakinwa Michael , Adeloye Kolawole Adelekan , Adigun Abolade Oluwapelumi 
Published: December 2022

Abstract
Farmer-herder conflict constitutes a severe threat to community peace, development, agricultural production and socio-economic life of rural dwellers especially crop farmers, thereby forcing them to utilise some coping strategies to survive the crises and cushion the effects. Therefore, the paper assessed the causes, effects, and coping strategies utilised by crop farmers to mitigate the effects of conflict with cattle herders in rural communities of Osun State, Nigeria. A total of 120 crop farmers (the more vulnerable ones) were selected across the state and quantitative data were elicited from them using a structured interview schedule. Descriptive and inferential statistics were used to analyse the data. Results show that respondents had a mean age of 44.16 ± 14.77 years and farming experience of 20.16 ± 11.23 years, and 75.7 % had formal education. Loss of crops (mean = 1.63) and reduction in farmers’ output and income (mean = 1.52) were the major effects of conflict, while strategies adopted include tightening farm security (mean = 2.93), praying for peace (mean = 2.91) and seeking help from friends and relatives (mean = 2.91). About half (48.6 %) utilised the coping strategies at a high level to mitigate conflict with cattle herders. There was a significant relationship between the coping strategies utilisation and the years of residence (r = 0.224), farming experience (r = 0.201) and effects of conflict (r = 0.567). The study concluded that although crop farmers utilised different coping strategies to mitigate the effects of herders’ conflict problem-solving types were most adopted. It is therefore recommended that government and other donor agencies should provide relief materials to crop farmers during conflict situations to enable them to cope with the effects of the conflict and resume their normal economic activities.
Proteomic profiling of exosomes derived from pancreatic beta-cells cultured under hyperglycemia
Authors: Rząca Carina , Jankowska Urszula , Stępień Ewa Łucja 
Published: December 2022

Abstract
Introduction
Cargo carried by extracellular vesicles (EVs) is considered a promising diagnostic marker, especially proteins. EVs can be divided according to their size and way of biogenesis into exosomes (diameter < 200 nm) and ectosomes (diameter > 200 nm). Exosomes are considered to be of endocytic origin, and ectosomes are produced by budding and shedding from the plasma membrane [1].
Methods
The first step of this study was a characterization of the exosome sample. Using Tunable Resistive Pulse Sensing (qNano) size distribution and concentration were measured. The mean size of exosomes was 120±9.17 nm. In the present study, a nano liquid chromatography coupled with tandem mass spectrometry (nanoLCMS/MS) was used to compare protein profiles of exosomes secreted by pancreatic beta cells (1.1B4) grown under normal glucose (NG, 5 mM D-glucose) and high glucose (HG, 25 mM D-glucose) conditions. The EV samples were lysed, and proteins were denatured, digested, and analyzed using a Q-Exactive mass spectrometer coupled with the UltiMate 3000 RSLC nano system. The nanoLC-MS/MS data were searched against the SwissProt Homo sapiens database using MaxQuant software and protein quantitation was done by the MaxLFQ algorithm. Statistical analysis was carried out with Perseus software. Further bioinformatic analysis was performed using the FunRich 3.1.4 software with the UniProt protein database and String [2].
Results
As a result of the nanoLC-MS/MS analysis more than 1,000 proteins were identified and quantified in each sample. The average number of identified proteins in exosomes was 1,397. Label-free quantitative analysis showed that exosome composition differed significantly between those isolated under NG and HG conditions. Many pathways were down-regulated in HG, particularly the ubiquitin-proteasome pathway. In addition, a significant up-regulation of the Ras-proteins pathway was observed in HG.
Conclusion
Our description of exosomes protein content and its related functions provides the first insight into the EV interactome and its role in glucose intolerance development and diabetic complications. The results also indicate the applicability of EV proteins for further investigation regarding their potential as circulating in vivo biomarkers.
Comparison of qNANO results from the isolation of extracellular microvesicles with the theoretical model
Authors: Durak-Kozica Martyna , Wróbel Andrzej , Platt Mark , Stępień Ewa Ł. 
Published: December 2022

Abstract
Objectives: Extracellular vesicles (EVs) are heterogeneous membrane vesicles in diameter of 30-5000 nm, that transport proteins, non-coding RNAs (miRNAs), lipids and metabolites. Major populations include exosomes, ectosomes and apoptotic bodies. The purpose of this study was to compare the distribution of EVs obtained under different conditions of differential centrifugation, including ultracentrifugation, with the results developed based on a theoretical model. Methods: Immortalized endothelial cell line that expresses h-TERT (human telomerase) was used to release of EVs: microvascular TIME. EVs were isolated from the culture medium at different centrifugation parameters. The size distribution of the EVs was measured using TRPS technology on a qNano instrument.
Continuous limits of residual neural networks in case of large input data
Authors: Herty Michael , Thünen Anna , Trimborn Torsten , Visconti Giuseppe 
Published: December 2022

Abstract
Residual deep neural networks (ResNets) are mathematically described as interacting particle systems. In the case of infinitely many layers the ResNet leads to a system of coupled system of ordinary differential equations known as neural differential equations. For large scale input data we derive a mean–field limit and show well–posedness of the resulting description. Further, we analyze the existence of solutions to the training process by using both a controllability and an optimal control point of view. Numerical investigations based on the solution of a formal optimality system illustrate the theoretical findings.
De-noising of partial discharge ultrasonic signal of insulation bar in large motor based on GMC-wavelet
Authors: Chen Xuejun , Ma Lin , Zhang Lei , Zhuang Jianhuang 
Published: December 2022

Abstract
In view of the bad operation environment of large motor, which often suffers from various strong noise interference, the partial discharge ultrasonic signal is often annihilated, which makes it difficult to detect and analyse. A de-noising method based on generalized minimax concavity (GMC) and wavelet for partial discharge (PD) ultrasonic signal is proposed. GMC is used to enhance the sparsity of PD ultrasonic signal and eliminate the high-frequency noise signal at the same time. Then the residual high-frequency sparse noise and low-frequency noise of the former are de-noised again combined with wavelet. Finally, the signal is reconstructed to achieve the purpose of de-noising the original PD ultrasonic signal with noise. Compared with ℓ1 -norm method, GMC method, wavelet method and ℓ1 -norm-wavelet method, the simulation results show that based on time domain analysis, the de-noising effect of the proposed method is obviously better than the other four methods. The SNR and MSE of the former are better than those of the latter. In addition, the insulation bar discharge model of large motor is constructed to obtain the actual PD ultrasonic signal, which further verifies its effectiveness, and its de-noising effect is also better than the four methods. This method can not only enhance the sparsity of the target signal and improve the estimation accuracy, but also achieve the de-noising effect, while retaining the effective information of PD ultrasonic signal characteristics. This method can provide new ideas for other types of PD signal de-noising, and lay the foundation for later feature analysis.
Instruction mapping techniques for processors with very long instruction word architectures
Authors: Mego Roman , Fryza Tomas 
Published: December 2022

Abstract
This paper presents an instruction mapping technique for generating a low-level assembly code for digital signal processing algorithms. This technique helps developers to implement retargetable kernel functions with the performance benefits of the low-level assembly languages. The approach is aimed at exceptionally long instruction word (VLIW) architectures, which benefits the most from the proposed method. Mapped algorithms are described by the signal-flow graphs, which are used to find possible parallel operations. The algorithm is converted into low-level code and mapped to the target architecture. This process also introduces the optimization of instruction mapping priority, which leads to the more effective code. The technique was verified on selected kernels, compared to the common programming methods, and proved that it is suitable for VLIW architectures and for portability to other systems.
Characteristic-mode analysis of coupled split-ring resonators
Authors: Eteng Akaa Agbaeze 
Published: December 2022

Abstract
The coupling between closely spaced split-ring resonators, when employed as sub-components of electromagnetic structures, is an important feature often leveraged upon to provide bulk material properties. In its contribution, this paper employs characteristic-mode analysis (CMA) to examine modal interactions intrinsic to the coupling between a pair of split-ring resonators. The analysis reveals the influence of feed impedance and rotational orientation of a pair of coupled SRRs on the excited resonant modes, which, in turn, determine the power transfer levels between both SRRs and the frequencies at which these occur. The insights provided suggest the aptness of rotational orientation and feed impedance as critical design parameters for the realization of SRR-based magneto-inductive waveguides and wireless power transfer setups.
Progressive pattern orthogonal interleaver set for interleave division multiple access based, non orthogonal multiple access schemes: Beyond 5G perspective
Authors: Dixit Shivani , Shukla Varun , Shukla Manoj Kumar 
Published: December 2022

Abstract
This communication suggests an orthogonal interleaver set for interleave division multiple access (IDMA) based non orthogonal multiple access (NOMA) schemes from beyond 5G viewpoint to support enormous increase in user count. The method generates an orthogonal interleaver set by providing two mother interleavers as seed to generate other users’ interleaving patterns progressively. The key feature of the proposed scheme is that it reduces implementation complexity and memory requirement at the base station, while implementing iterative multiuser detection (MUD), which most of the interlaever designs suggested in literature do not consider. It provides additional security to the user data due to progressively changing mother interleavers’ pattern along with the conventional purpose of providing unique identity for individual users in the system. The proposed orthogonal interleaver set is tested through simulations under multiple IDMA system configurations. It has been observed that it preserves the bit error rate (BER) performance of the IDMA scheme along with the optimal implementation complexity and minimal information exchange requirement between base station and mobile station to share the interleaver design.
A fundamental approach: E-polarized electromagnetic wave diffraction by two dimensional arbitrary-shaped objects with impedance boundary condition
Authors: Tabatadze Vasil , Karaçuha Kamil , Zaridze Revaz , Veliyev Eldar , Karaçuha Ertuĝrul 
Published: December 2022

Abstract
In the present study, a new methodology in computational electromagnetics is developed for two-dimensional arbitrarily-shaped objects with impedance boundary conditions. The proposed approach investigates the E-polarized electromagnetic diffraction by a two-dimensional object with the Leontovich boundary condition. The scattered electric and magnetic fields are expressed as the convolution integral of the corresponding Green’s function and the current induced on the obstacle surface. After obtaining integral equations by applying the boundary condition, the integral equations are solved as in the case of the method of auxiliary sources (MAS) which is a well-known method in computational electrodynamics. The results are compared with first, different methods such as the method of moments (MoM), orthogonal polynomials (OP), and second, different boundary conditions such as Dirichlet, Neumann, and fractional boundary conditions. Some results are also obtained for the different shape scatterers at some values of the surface impedance.
Investigation and Prediction of ECMM characteristics of Hardened Die Steel with Nanoparticle Added Electrolytes Using Hybrid Deep Neural Network
Authors: Kanniyappan Vijayakumar , Tamilperuvalathan Sekar 
Published: December 2022

Abstract
In our work, the process efficiency of the ECMM should be improved by using different combinations of nano-particles and added electrolytes. The superior aim of this work is to improve and predict the ECMM machining characteristics of die hardened steel, namely material removal rate (MRR), Tool wear rate (TWR) and Surface Roughness (Ra). The machining conditions are optimized using Response Surface Methodology (RSM) based on Box Behnken Design. The better Nano electrolyte is optimized using Deer Hunting Optimization (DHO) based on the machined outcomes, and the performances are predicted using a hybrid Deep Neural Network (DNN) based DHO. The hybrid DNN-DHO based predicted outcome of MRR is 0.361 mg/min, TWR is 0.272 mg/min and Ra is 2.511 μm. The validation results show that our proposed DNN-DHO model performed well and obtained above 0.99 regression for both training and validation of DNN-DHO, where the root mean square error ranges between 0.018 and 0.024.
Experimental research on the volatilization and condensation of ammonium bisulfate as SCR byproduct
Authors: Jiao Kunling , Ma Shuangchen , Chen Xiangyang , Liu Jiaming , Qiao Lin 
Published: December 2022

Abstract
In this paper, the research progress of ammonium bisulfate (ABS) volatilization in coal-fired power plants the SCR denitrification process was reviewed. Combination with self-made experiments, SEM, flue gas analyzer and TG-DTG curves of ABS and ion chromatography. The volatilization and condensation characteristics of ABS were investigated carefully. Results show that as the temperature increased by 50 oC, the ABS/AS volatilization rate increased by an order of magnitude. The decomposition process of ABS should have a two-step reaction. The reaction in the initial volatiliza-tion stage is ABS dehydration turned into (NH4)2S2O7. The reaction in the rapid volat-ilization stage is (NH4)2S2O7 decomposed into NH3, N2, SO2 and H2O. There is an inter-section in the reaction temperature range (especially 300 oC) between the two-step re-action. This research provides an experimental basis for temperature control of ABS to avoid air pre-heater fouling.