Miracle-dz/UniFAR-FTUs huggingface dataset:
Operational Planning Of Entrepreneurial Activity in the Innovation Industry.

Aim of the study: The condition for increasing the pace of economic development and technological sovereignty of Russia is the transition of industry to the new principles of functioning characteristic of the digital economy. These principles include globalization, the high flexibility of industrial enterprises, the individualization of products, the development of key technological competencies and the short time to market new products. The analysis of foreign experience shows that the use of technologies that reflect the trends of the digital economy, characterized by the convergence of different technologies that blur the boundaries between the physical, digital and biological spheres, allows for an increase in labor productivity by 45-55%, the speed of assortment renewal by 20-5094, a reduction in production stocks by 20-5094, a reduction in production cycles by 30-5094. Methodology: The studies of enterprises of machine-building, metallurgical, construction, mining, oil refining and food industries show that the introduction of new technologies, digitalization of the main and auxiliary business processes is significantly complicated by the need to organize on the same technological basis of production of different series: from single to large-scale. At the same time, the existing operational planning tools do not take into account the combined nature of production. Conclusion: It is the combined type of production that determines the need to solve complex scientific and methodological problems, including the formation of a production planning system at industrial enterprises, the definition of the most rational methods of operational planning taking into account the specifics of the enterprise.
How did terricolous fungi originate in the Mediterranean region? A case study with a gypsicolous lichenized species

The historical causes responsible for the wide distribution of terricolous, crustose lichenized fungi across the Mediterranean Basin and the Canary Islands have never been explored. Here, we used the terricolous, circum‐Mediterranean/Macaronesian species Buellia zoharyi (Caliciaceae, Ascomycota) to infer the time frame, and the climatic, geological and ecological factors influencing the origin and current spatial distribution of this species.
An early Myc-dependent transcriptional program underlies enhanced macromolecular biosynthesis and cell growth during B-cell activation

Upon activation, lymphocytes exit quiescence and undergo substantial increases in cell size, accompanied by activation of energy-producing and anabolic pathways, widespread chromatin decompaction and elevated transcriptional activity. These changes depend upon prior induction of the Myc transcription factor, but how Myc controls them remains unclear. We addressed this issue in primary mouse B-cells, based on conditional deletion of the c-myc gene, followed by LPS stimulation. Myc was rapidly induced, became detectable on virtually all active promoters and enhancers, but had no direct impact on global transcriptional activity. Instead, Myc contributed to the swift up- and down-regulation of several hundred genes, including many known regulators of the aforementioned cellular processes. Myc-activated promoters were enriched for E-box consensus motifs, bound Myc at the highest levels and showed enhanced RNA Polymerase II recruitment, the opposite being true at down-regulated loci. Remarkably, the Myc-dependent signature identified in activated B-cells was also enriched in Myc-driven B-cell lymphomas: hence, besides modulation of new cancer-specific programs, the oncogenic action of Myc may largely rely on sustained deregulation of its normal physiological targets.
The plant translatome surveyed by ribosome profiling.

Although transcriptome changes have long been recognized as a mechanism to induce tentative substitution of expressed genes in diverse biological processes in plants, the regulation of translation-the final step of the central dogma of molecular biology-emerged as an alternative and prominent layer in defining the output of genes. Despite these demands, the genome-wide analysis of protein synthesis has posed technical challenges, resulting in the plant translatome being poorly understood. The development of ribosome profiling promises to address the hidden aspects of translation, and its application to plants is revolutionizing our knowledge of the translatome. This review outlines the array of recent findings provided by ribosome profiling and illustrates the power of the versatile technique in green organisms.
Implementation of Supersingular Isogeny-Based Diffie-Hellman and Key Encapsulation Using an Efficient Scheduling

Isogeny-based cryptography is one of the promising post-quantum candidates mainly because of its smaller public key length. Due to its high computational cost, efficient implementations are significantly important. In this paper, we have proposed a high-speed FPGA implementation of the supersingular isogeny Diffie-Hellman (SIDH) and key encapsulation (SIKE). To this end, we have adapted the algorithm of finding optimal large-degree isogeny computation strategy for hardware implementations. Using this algorithm, hardware-suited strategies (HSSs) can be devised. We have also developed a tool to schedule field arithmetic operations efficiently using constraint programming. This tool enables reducing the latency of SIDH and SIKE subroutines by up to 14% at NIST’s highest security level, i.e., using the SIKEp751 parameter set. We have also improved the latency of field inversion, the most costly field operation in SIDH, by 23% using the Montgomery ladder technique. We have provided constant-time implementations of SIDH and SIKE on Virtex-7 using SIKEp751 utilizing 6 and 8 prime field multipliers to resemble the previous work. Experimental results show that using 8 multipliers SIDH and SIKE encapsulation and decapsulation can be performed in 24.66 ms and 24.10 ms, which is 1.37 and 1.12 times faster than the latest corresponding FPGA implementations, respectively.
Characterising Agricultural Landscapes using Landscape Metrics and Cluster Analysis in Brandenburg, Germany

An increasing demand for agricultural products within the past years has led to increasing agricultural intensification. Various agricultural compositions and landscape configurations can have different impacts on the provision of ecosystem services. The EU follows the aim of supporting and developing sustainable food production systems. We use the plot-based data provided by the Integrated Administration and Control System (IACS) to identify different types of agricultural landscapes and their spatial distribution in Brandenburg, Germany. By calculating a set of landscape metrics to characterise agricultural land use, we were able to identify six types of agricultural landscapes by a Two-Step cluster analysis for a hexagonal grid. Thereby, the majority of Brandenburg is covered by agriculture characterised by high share of cropland but different degrees of fragmentation. By providing a framework using landscape metrics derived from IACS data, the approach of clustering to identify typologies is highly transferable to other regions within the EU and may provide an important asset for offering new units of analysis for a better tailored environmental and agricultural planning depending on the local to regional characteristics.
A colorimetric-based bioreporter for rapid genotoxicity monitoring using Escherichia coli

Naruemon Chumjaia,b, Alisa S. Vangnaib,c,∗ a International Program in Hazardous Substance and Environmental Management, Graduate School, Chulalongkorn University, Bangkok 10330 Thailand b Center of Excellence on Hazardous Substance Management (HSM), Chulalongkorn University, Bangkok 10330 Thailand c Biocatalyst and Environmental Biotechnology Research Unit, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330 Thailand
Adaptive Fuzzy Finite-Time Output-Feedback Fault-Tolerant Control of Nonstrict-Feedback Systems Against Actuator Faults

In this article, the finite-time fault-tolerant control (FTC) problem is investigated for uncertain nonlinear nonstrict-feedback systems. The nonstrict-feedback nonlinear system considered in this article contains unmeasured states, unknown control directions, unknown nonlinear dynamics, and actuator faults (both lock-in-place and loss of effectiveness). To realize the control objective, fuzzy-logic systems are used to approximate the unknown nonlinear functions, and a high-gain fuzzy state observer is developed. By using the Nussbaum function technique and combining with the adaptive backstepping control design, a fuzzy adaptive finite-time output-feedback FTC scheme is proposed. It is proved that the closed-loop system is practical finite-time stable (PFTS), and the system output can track a given reference signal. Simulation and comparison results further show the effectiveness of the proposed control strategy.
Improved mechanical and wear characteristics of hypereutectic aluminium-Silicon alloy matrix composites and empirical modelling of the wear response

Abstract For the first time, Silicon Carbide-Zinc Oxide-Graphite reinforced hypereutectic Aluminium–Silicon composites were fabricated by two-step stir casting. The mechanical properties and abrasive wear performance of the composites were experimentally tested. A multilevel factorial design of experiment was conducted to develop a numerical model for predicting the wear rate of composites and optimization of their wear performance as a function of reinforcement characteristics. The results indicated that high content of silicon carbide in the composites superlatively enhanced hardness, tensile strength and fracture toughness by 69.04%, 163.22% and 77.42%, respectively. Correspondingly, high content of graphite indicated superlative wear resistance of 95.87% reduction in wear index while high zinc oxide content revealed enhanced fracture toughness highly comparable with that observed for high silicon carbide content. Nevertheless, in comparison with the monolithic alloy, the trade-offs in the strains-to-fracture of the composites were more pronounced with high silicon carbide content. The developed 2-factor-interaction effects model strongly agrees with the experimental results after passing various model validity tests available in Design Expert Software. It revealed that the composition of reinforcing constituents influenced the model more than the volume fraction, and the interaction between the composition of reinforcement constituents and volume fraction.
Evolution of Electrical and Optical Parameters of a Helium Plasma Jet in Interaction With Liquids

A helium-operated atmospheric pressure plasma jet was used to treat biologically relevant liquids, such as ultrapure water and phosphate-buffered saline. The present experiments are focused on the behavior and evolution of selected electrical and optical signals of the helium plasma jet, while in contact with the liquid targets. To that extent, this article presents multiple results extracted from the monitoring of the electrical current over the entire treatment duration, with emphasis on the identification of a minute order long plasma warm-up duration and the differences observed when using the two liquid targets. Moreover, spectral monitoring of the intensity of lines and bands corresponding to helium, oxygen, and nitrogen excited species in the gas phase also points to a similar evolution towards a steady state level. The existence of transient regimes should not be disregarded when plasma jets are used for industrial and life science applications, where the exposure duration of biological targets, liquids, and solid state materials is usually of the order of a few minutes.
A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA

With the continuous and rapid growth of air traffic demand, gate resource becomes a major bottleneck restricting airport development. Rational gate allocation is regarded as one of the most important means to solve this bottleneck. In this paper, in order to comprehensively considere different stakeholders, a three-objective gate allocation model is to consider a wider scope, in which the minimizing passenger walking distances, the most balanced idle time of each gate and the best full use of large gate are optimized simultaneously to improve the practical efficiency. To efficiently solve this model, an improved quantum evolutionary algorithm (QEA) based on the niche co-evolution strategy and enhanced particle swarm optimization (PSO), namely IPOQEA is designed. An IPOQEA-based gate allocation method is proposed to allocate the flights to suitable gates within different periods. Finally, the actual operation data of Baiyun Airport is used to validate the effectiveness of the proposed method. Comparison results show that the constructed model can address the passenger walking distances, robustness and costs in airport management. Moreover, the IPOQEA has better optimization ability in solving gate allocation problem. Therefore, the proposed gate allocation method has great potential for practical engineering since it can easily make decisions for airport managers.
Qualification of a New Differential Calorimeter Configuration Dedicated to Nuclear Heating Rates up to 20 W.g−1

The Jules Horowitz Reactor, a new material testing reactor, is currently under construction on the CEA Cadarache site (in the South of France). A nuclear heating rate unequaled in Europe will be provided: 20 W.g−1 for a nominal thermal power of 100 MW. There is no differential calorimeter in the state of the art that measures such a nuclear heating rate. This article presents a new differential calorimeter configuration dedicated to this very high nuclear heating rate. On the one hand, the chosen configuration is validated and calibrated experimentally under laboratory conditions by using a new heating system, allowing the application of a wide range of electrical power never tested in the literature and ten times higher compared to that commonly used. Then the calorimetric cell response is estimated under real conditions with an analytical model. Finally, 3-D thermal numerical simulations of the whole calorimeter are performed under real conditions. Some parameters, such as the size of the cell, the intercell space, and the nature of the sample, are tuned to propose a very compact differential calorimeter.
Understanding Shifting Triadic Relationships in the Al-Qaeda/ISIS Faction Ecosystem

We propose and investigate 14 hypotheses linking changes in the intensity of relationships between two factions in the Al-Qaeda/ISIS (<italic>AQ/ISIS</italic>) (ecosystem to future changes in other relationships involving one of those two factions. Using a novel 28-year data set of relationships between factions of Al-Qaeda and the Islamic State (including their predecessor organizations) encoded as a time series of 267 signed weighted networks, we identify triangles of any set of connected factions <inline-formula> <tex-math notation="LaTeX">$(u,v,z)$ </tex-math></inline-formula> and develop hypotheses capturing how the intensity of relationships between two factions <inline-formula> <tex-math notation="LaTeX">$u,v$ </tex-math></inline-formula> changes when the relationship between either factions <inline-formula> <tex-math notation="LaTeX">$z,u$ </tex-math></inline-formula> or factions <inline-formula> <tex-math notation="LaTeX">$z,v$ </tex-math></inline-formula> changes. We investigate how the strength of these relationships changes in the short term (less than two years), medium term (two to four years), and long term (five to ten years). Surprisingly, we show that <italic>AQ/ISIS</italic> triangles that are not in balance (according to the balance theory) are unlikely to move toward balance as suggested by the balance theory, but those that are in balance will likely stay balanced (as suggested by the balance theory). These findings provide better insight into the inner workings and complex dynamics that shape the <italic>AQ/ISIS</italic> competition worldwide. They are also relevant to future developments in global jihadism, as new factions may emerge that seek to gain affiliative market share in the jihadist world at the expense of more established organizations.
Factors affecting the coffee-stability of instant whole milk powder

There are growing markets in developing countries, for instant WMP with the additional specification of being stable in coffee. Coffee is considered a harsh environment for reconstitution of milk powders owing to high temperatures (~80°C) and low pH (~4.8) which may cause protein precipitation or feathering. The objective of this study was to explore a range of parameters in order to identify some key factors that contribute to instability. Initially, the physicochemical conditions in the coffee test were scrutinised. Later, emphasis was shifted to the effects of individual process steps during pilot plant manufacture of instant WMP. Coffee-stable commercial samples were more resistant to feathering and sedimentation under conditions of low pH and high temperatures. A model test was developed to simulate the acidic effect of coffee, and to examine the sensitivity of WMP over a wider pH range. The resulting sedimentation/pH profiles were distinguishable for coffee-stable and coffeeunstable samples. Furthermore, the model test proved to be more exacting than the coffee itself. Subsequent investigations confirmed that monovalent cations such as K+ counteract the negative effects of low pH. Water hardness and powder characteristics such as bulk density, particle size and interstitial air volume influenced coffee-stability. The low sediment volumes that resulted from prior reconstitution before addition to coffee; increased mechanical activity and addition of surface active agents suggest that the observed instability may arise from the physical behaviour of the powder itself. In an investigation of the process parameters affecting coffee-stability, preheating and agglomeration conditions were critical to product physico-chemical characteristics and functionality. Fat composition of the milk influenced coffee stability more so than protein. Storage resulted in a disimprovement in coffee-stability. An alternative production method by recombination of cream into skim milk concentrate was comparable with the conventional process in terms of powder characteristics and coffee-stability as was also the case for butter-oil fat-filled powders.
BP Method With Rectified Linear Unit-Based Nonlinear Decoupling for 3-Axis FBG Force Sensor

A fiber Bragg grating (FBG) force sensor with a compact size has been designed which can achieve the detection of three force components (Fx, Fy, Fz). The sensor is mainly comprised of a deformable body, a support body, and 5 FBGs. Although the FBGs show advantageous sensitivity on forces, the coupled effect among the measured components along different directions brings difficulties in the precision improvement of the sensor. In this article, a Rectified Linear Unit (ReLU) -based Back Propagation (BP) method has been adopted to decouple the designed sensor and improve the precision. Its theoretical sensing model and nonlinear decoupling algorithm have been derived and introduced, respectively. Experiments have been implemented to investigate the feasibility of the adopted method. Compared with the linear method (LM) and sigmoid function-based BP method, the ReLU-based BP method has better measurement accuracy that the average relative errors are less than 2% of full scale (F.S.) for the designed 3-axis force sensor. Such a result validates the feasibility and effectiveness of the adopted method to decouple the nonlinear response of the designed sensor.
Dual Calibration Mechanism Based L2, p-Norm for Graph Matching

Unbalanced geometric structure caused by variations with deformations, rotations and outliers is a critical issue that hinders correspondence establishment between image pairs in existing graph matching methods. To deal with this problem, in this work, we propose a dual calibration mechanism (DCM) for establishing feature points correspondence in graph matching. In specific, we embed two types of calibration modules in the graph matching, which model the correspondence relationship in point and edge respectively. The point calibration module performs unary alignment over points and the edge calibration module performs local structure alignment over edges. By performing the dual calibration, the feature points correspondence between two images with deformations and rotations variations can be obtained. To enhance the robustness of correspondence establishment, the <inline-formula> <tex-math notation="LaTeX">$L_{2,p}$ </tex-math></inline-formula>-norm is employed as the similarity metric in the proposed model, which is a flexible metric due to setting the different <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math></inline-formula> values. Finally, we incorporate the dual calibration and <inline-formula> <tex-math notation="LaTeX">$L_{2,p}$ </tex-math></inline-formula>-norm based similarity metric into the graph matching model which can be optimized by an effective algorithm, and theoretically prove the convergence of the presented algorithm. Experimental results in the variety of graph matching tasks such as deformations, rotations and outliers evidence the competitive performance of the presented DCM model over the state-of-the-art approaches.
Effect of a Large-sized Cage with a Low Metabolizable Energy and Low Crude Protein Diet on Growth Performance, Feed Cost, and Blood Parameters of Growing Layers

Effects of a large-sized cage with a low metabolizable energy and low crude protein (LME-LCP) diet on growth performance, feed cost, blood biochemistry, and antibody response of growing layers were evaluated. A total of 668 one-day-old female Gushi chicks were randomly allocated into three different cages, namely, large, medium, and small cages, referred to as Group A, Group B, and Group C, respectively, and fed LME-LCP diets. A fourth group of birds raised in small cages and fed a standard diet (STD) was designated Group D i.e. the control. Equal stocking densities were maintained among the four groups throughout the experiment, from 50–20 birds/m2. Large cages with LME-LCP diet (Group A) increased the shank length and girth as chicks grew, improved the activities of serum creatine kinase, and reduced serum triglyceride and cholesterol concentrations. The total feed intake in birds from Group A was higher than those from the other groups at every stage. The total cost (rmb/bird) of feed was 6.70% lower in Group A than that in Group D, which indicated the cost-effectiveness of large cages. In conclusion, large cages with LME-LCP diets have positive effects on body weight, shank growth, and serum biochemical indices of growing Gushi chicks, and can reduce feed costs.
Biology of rice weevil Sitophilus oryzae (L.)

Biology of the rice weevil Sitophilus oryzae (L.) was studied on the rice variety Jaya under laboratory condition at the P.G. Research Laboratory, Department of Agricultural Entomology, N. M. College of Agriculture, Navsari Agricultural University, Navsari. The duration of first, second, third, fourth instar larvae and pupa was 5.92 ± 0.70, 6.64 ± 0.49, 8.04 ± 0.73, 5.36 ± 0.70 and 6.48 ± 0.51 days, respectively. The preoviposition, oviposition and postoviposition periods were 3.79 ± 0.66, 54.80 ± 3.93, 19.88 ± 2.62 days, respectively; and fecundity observed at 288 to 389 (352.68 ± 28.84). The adult females survived for 72.36 ± 3.54 days while, males survived for 50.68 ± 2.97 days with food; without food it was 8.6 ± 0.82 and 5.8 ± 0.82 days, respectively. The total lifecycle was 83.12 ± 4.43 days (male) and 110.8 ± 3.35 days (female) with food.