DEVELOPMENT OF A SCALE FOR EVALUATION OF ORGANOLEPTIC INDICATORS OF SAUCE PRODUCTS by K. N. Nitsievskaya

“…Features of the technology of obtaining experimental samples of the basis for sauces is the principle of hydro-mechanical action, allowing to create a product homogeneous in structure, with improved sensory characteristics. The search for the optimal selected technological factors (raw material processing temperature, °C; mass fraction of moisture, %; content of amaranth seeds, %) was made using the Taguchi technique. …”
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Reliable Integrated Photonic Light Sources Using Curved Al2O3:Er3+ Distributed Feedback Lasers by Nanxi Li, Gurpreet Singh, Emir Salih Magden, Zhan Su, Neetesh Singh, Michele Moresco, Gerald Leake, Jonathan D. B. Bradley, Michael R. Watts

“…In a conventional straight DFB structure, we observe randomly distorted transmission responses and relatively higher threshold power even for an estimated <0.5% thickness variation. …”
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Analysis of Horizontal Wind Field Regional Difference within Boundary Layer in Chengdu West Mountainous Area and Plain Transition Area Based on Wind Profile Radar by CAO Yang, ZHAO Xiaoli, SU Debin, CHENG Xiang

“…The wind profile radar data observed from the western mountainous and eastern plain areas of Chengdu from 1 Jan to 31 Dec 2022 are used to analyse the regional differences in the vertical structure and daily variation trend of the boundary layer wind field. …”
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Study on Microstructure and Properties of CrFeCoNiTix High-Entropy Alloy by JIANG Yue, ZHOU Guang-tai, CHENG Si-meng, LI Xiu-ming

“…And the high － entropy alloy was transformed from single － phase structure to dendrite and interdendrite two － phase structure due to the increase of Ti element addition amount． …”
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Push Plate Test of CRTS II Slab Ballastless Track: Theoretical Analysis, Experiments, and Numerical Simulation by Yu Liu, Qianqi Xu, Xiaodan Sun, Guotao Yang, Guotang Zhao

“…Push plate test is a powerful tool to evaluate the interfacial bond performance of China railway track structure type-II slab ballastless track structure (CRTS II SBTS). …”
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Research on Lexical Usage and Lexicographical Practice by Vilma Zubaitienė

“…Particular mention is made of Pranas Skardžius’ and Antanas Salys’ research on word structure and usage. In addition, various articles in language journals as well as the structure and editorial principles of the journal “Kalbos patarėjas” are reviewed. …”
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Responses of Corn Yield, Soil Microorganisms, and Labile Organic Carbon Fractions Under Integrated Straw Return and Tillage Practices in Black Soil by Lei Feng, Yunyun Sun, Guifen Chen

“…However, the mechanism of combing straw return with different tillage methods on black soil microbial community structure and soil organic carbon (SOC) fractions remains unclear. …”
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Optimizing the Compaction Characteristics and Strength Properties of Gravelly Soils in terms of Fine Contents by Mingzhi Zhao, Gang Liu, Longxiang Deng, Yangang Li

“…Besides, fine particles are just right to fill with the voids formed by the coarse-grained skeleton for the optimum FC sample. The soil structure corresponding to the optimum FC status can be termed as a densely filled skeleton structure, which is the densest and most stable. …”
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Study on nonlinear vibration characteristics of elastic web herringbone gear transmission by Zhibin Li, Sanmin Wang, Linlin Liu

“…Then the effects of these two materials on the system nonlinear vibration characteristics under different working conditions are analyzed. Finally, the variation of dynamic load coefficient (DLC) and load sharing coefficient (LSC) with input/output torque excitation and system structure size under the action of two materials is analyzed. …”
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Robust Bayesian analysis of animal networks subject to biases in sampling intensity and censoring by Sebastian Sosa, Mary B. McElreath, Daniel Redhead, Cody T. Ross

“…Here, we address the issue by developing a Bayesian model, which not only estimates network structure but also explicitly accounts for sampling and censoring biases. …”
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Bats of a feather: Range characteristics and wing morphology predict phylogeographic breaks in volant vertebrates by Sydney K. Decker, Kaiya L. Provost, Bryan C. Carstens

“…Intraspecific genetic variation and phylogeographic structure can be influenced by factors such as landscape features, environmental gradients, historical biogeography and organismal traits such as dispersal ability. …”
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GAS CONCRETE FOR CONSTRUCTION OBJECTS OF TRANSPORT INFRASTRUCTURE by E. V. Fomina, V. S. Lesovik, I. V. Lashina

“…As a result, the usage of amorphous alum inosilicate raw materials in gas concrete allows variation of parameters to effect on pore structure such as homogeneous pore distribution in bulk, thickness and density of interpore partition, pore shape and pore size. …”
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Comparative genomics of flowering time pathways using Brachypodium distachyon as a model for the temperate grasses. by Janet A Higgins, Paul C Bailey, David A Laurie

“…Segmental duplication explains the presence of two CO-like genes in temperate cereals, of which one (Hd1) is retained in rice, and explains many differences in gene family structure between grasses and Arabidopsis. The conserved fine structure of duplications shows that they largely evolved to their present structure before the divergence of the rice and Brachypodium. …”
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Enrichment of Z-DNA-Forming Sequences Within Super-Enhancers: A Computational and Population-Based Study by Yulia V. Makus, German A. Ashniev, Alexey V. Orlov, Petr I. Nikitin, Zoia G. Zaitseva, Natalia N. Orlova

“…Overall, the computational findings indicate that Z-DNA structures within super-enhancers might play regulatory roles and potentially influence population-specific genetic variation, highlighting specific genomic targets and providing new avenues for future experimental research.…”
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Comparative Study on Chemical Constituents of Ginseng Flowers with Four Consecutive Cultivation Age by Lian-Yun Du, Hui-E. Zhang, Ye Zhang, Yan-Yan Han, Ping Ye, Xiang-Ru Meng, Yan-Long Shen, Chang-Bao Chen, Mei-Ling Fan, En-Peng Wang

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Implications of the thermal environment for terrestrial wildlife management by R. Dwayne Elmore, J. Matthew Carroll, Evan P. Tanner, Torre J. Hovick, Blake A. Grisham, Samuel D. Fuhlendorf, Steve K. Windels

“…Variation in temperature can be due to both topoedaphic features inherent in the landscape as well as differences in vegetation structure and composition resulting from management actions. …”
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Spatial Variability and Distribution of the Metals in Surface Runoff in a Nonferrous Metal Mine by Bozhi Ren, Yangbo Chen, Guocheng Zhu, Zhenghua Wang, Xie Zheng

“…Variation coefficients of the rest of metals were less than 50%, suggesting a moderate variability. …”
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A probabilistic stress-strain relationship model for steel bars including the non-uniform corrosion effects in chloride environments by Qin Zhang, Xinguo Guo, Haitao Zhao, Dongkang Hu, Xianglin Gu, Rongqing Li

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Gravitational complexity factor of anisotropic polytropes in coincident gauge $$f(\mathbb {Q})$$ f ( Q ) gravity by Abeer M. Albalahi, Akbar Ali, M. Z. Bhatti

“…The novelty of this study lies in its ability to study the effect of non-metricity on the intricate mechanism of dense-matter static stars while also considering the effectiveness of the complexity factor in determining fluctuations in the Tolman mass for both complex and non-complex compact structures within a non-metricity framework. The variation in the Tolman gravitational mass is caused by a suggested formulation of anisotropic pressure and density non-uniformity. …”
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Assessment of the Genetic Diversity of the Monogenean Gill Parasite <i>Lamellodiscus echeneis</i> (Monogenea) Infecting Wild and Cage-Reared Populations of <i>Sparus aurata</i> (Te... by Sarra Farjallah, Nabil Amor, Francisco Esteban Montero, Aigües Repullés-Albelda, Mar Villar-Torres, Abdulaziz Nasser Alagaili, Paolo Merella

“…This is supported by the observed high haplotype diversity (Hd = 0.918) and low nucleotide diversity (Pi = 0.01595). Population structure-based AMOVA for two groups (the Adriatic Sea and the rest of the Mediterranean Sea) attributed 35.39% of the total variation to differences within populations, 16.63% to differences among populations within groups, and 47.99% to differences among groups. …”
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