Miracle-dz/UniFAR-FTUs huggingface dataset:
Testing System for Corporation Productivity Improvement Department

The article is devoted to the development and implementation of a model for improving the efficiency of the testing department of the MBM LLC Company. The organization and process of software testing play an important role in the digital economy since it is the business continuity that determines the reliability of the data processed by corporate systems and, ultimately, the quality of the sale of goods and services. The main areas in which the process of increasing the efficiency of the testing department is carried out are the introduction of automated tests for new processes being implemented in the organization. To automate the testing processes, we used the BDD (Behavior-driven development, literally "development through behavior") methodology - this is a software development methodology through continuous communication between developers, testers and analysts. During the study, the basic principles of organizing an automated testing system in the IT departments of companies were examined, the technical tools that are used in the department were examined, and a testing automation model was proposed. A comparative analysis of the possible means of implementing the proposed model is carried out. As a result of the analysis, the most optimal software tools for a particular project were selected. The process of creating automated tests is described. After the introduction of automated tests, an assessment on the effectiveness of the constructed system was made to increase the efficiency of the testing department and the use of developed autotests in real practice. The evaluation results showed that for this project, testing automation according to the proposed model became an appropriate solution and brought significant results already at the pilot stage: by freeing up manual testers from the manual execution of regularly repeated tests. The proposed model allows increasing the efficiency of the testing process and reduce the labor and material costs of the Company for its organization.
Application of the Response Surface Methodology for Designing Oscillation Drying of Beech Timber

Oscillation drying is one of the possible approaches for reducing drying time and limiting drying defects of hardwood timber. This study aimed to design oscillation-drying schedules for beech (Fagus sylvatica L.) timber using the response surface methodology (RSM) and to develop an empirical model describing relationships between drying time, drying rate, moisture content gradient after drying, and the parameters of oscillation drying, i.e., dry-bulb temperature increase, equilibrium moisture content (EMC) decrease, and the duration of phase #1 in the drying schedule. The design employed 8 unique drying schedules for which early stage of drying was studied. The Gompertz model was used to describe the change in moisture flux as a function of moisture content, with estimated parameters of the model used to determine relations between the maximum flux at the initial moisture content, the maximum rate of flux change, and the critical moisture content for the maximum rate of flux change for each oscillation-drying schedule. Analysis of variance (ANOVA) revealed that the decrease in EMC was the only factor significantly influencing oscillation drying. For the most intense oscillation-drying schedule, maximum moisture flow was ca. 75% higher compared with the control drying schedule. Drying processes that accounted for a decrease of EMC from 15% to 12% were characterized by significantly shorter drying time (by 35.8%), 52.6% higher drying intensity, and ca. two times larger moisture content gradient. These results confirm theoretical findings relating the increase of oscillation-drying intensity with the difference in wet-bulb temperature between phases of the drying processes.
On the recovery of 2DEG properties in vertically ordered h-BN deposited AlGaN/GaN heterostructures on Si substrate

Vertically ordered hexagonal boron nitride (h-BN) films were successfully sputtered on AlGaN/GaN heterostructure (HS) using high power impulse magnetron sputtering at room temperature. The h-BNs vertical ordering along the (0002) plane was confirmed using high-resolution transmission electron microscopy. After the h-BN deposition, degradation of two-dimensional electron gas (2DEG) properties was observed in AlGaN/GaN HS. Full recovery of 2DEG mobility, along with an improvement in sheet resistance and an increase in sheet carrier concentration was obtained after rapid thermal annealing at 500 °C for 300 s in a N2 atmosphere, which is due to the reduction of sputtering related structural damage.
Weak Correlation between Eggshell Thickness and Breaking Strength in Japanese Quail Suggests a need for Separate Assessment

Based on experimental evidence obtained in Japanese quail (Coturnix coturnix japonica), concurrent determination of eggshell breaking strength in avian reproduction studies in addition to the routine parameter eggshell thickness is recommended. After transformation of breaking strength data, a regression analysis was performed on a large sample of eggs (n = 815) from untreated hens. A need for concurrent assessment of both endpoints was substantiated by their poor correlation that became apparent by a rather low coefficient of determination (r2) of less than 15%. It was further supported by strongly diverging results when sub-sets of eggs from smaller and more homogenous groups of quail in a number of one-generation studies were analysed for correlation of the two parameters.
Experimental assessment of temperature increase and presence of predator carcass changing the response of invertebrate shredders

The role of the invertebrate shredders in leaf decomposition process in tropical lotic ecosystems has been explored only recently. In addition to the influence of the quality of litter and the temperature, the risk of predation generally results in changes on the survival and behavior of invertebrate shredders. The aim of this study was to observe the responses of the invertebrate shredders to different species of leaf litters (Experiment 1: Talauma ovata and Inga laurina ; Experiment 2: Talauma ovata, Inga laurina and Richeria grandis ) under gradual temperature rise (24 °C, 26 °C, 28 °C, 30 °C, 32 °C), in the presence (Experiment 2) and absence (Experiment1) of fish (Astyanax sp.) carcasses, as well as to observe the possible consequences of the leaf mass loss (LML). The results from the first experiment suggest that the quality of the litter was capable of changing the feeding preference of the invertebrate shredders, regardless of temperature. In the second experiment, the leaf mass loss was faster in litter with higher quality (Talauma ovate and Richeria grandis ); in addition, we observed that the exploration of these resources resulted in the case-building in the presence of fish carcass. The negative correlation of leaf mass loss of Inga laurina in relation to temperature in the presence of fish carcass probably occurred due to an accelerated metabolic, respiratory and cardiac rates. Apparently, this process may have led to an increased shredding activity on the litters of better quality in relation to the Inga laurina. This fact may be related to less energy consumption, so as to meet their energy demands more efficiently.
Effects of Temperature and Nitrogen Nutrition on the Grain Composition of Winter Wheat: Effects on Gliadin Content and Composition

Abstract The effects of two major environmental factors, temperature and nitrogen supply, on grain weight, protein content and especially gliadin content and composition were studied with a new sequential extraction method coupled with RP-HPLC separations. The thermal effects after anthesis were studied at canopy level in climate transparent tunnels in 1993, 1994, 1996 and 1997 under natural light. The nitrogen effects were studied in field experiments in 1994, 1995 and 1997. Grain weight, protein content, gliadin content and composition were differently modified by temperature and N supply. The % of proteins and gliadins in the flour increased with the increase of temperature and nitrogen supply, whereas the quantity of proteins or gliadins per grain were affected negatively by the high temperatures and positively by N fertilisation. The proportion of ω-gliadins in total gliadin increased with both factors whereas the α- and β-gliadins increased with the temperature and decreased with the N, and γ-gliadins decreased with the temperature and increased with the N. These different effects of temperature and nitrogen on the gliadin content in proteins and on the gliadins composition of flour were explained by the total quantity of proteins or gliadins accumulated in the grain. It was concluded that the two approaches at flour and grain level are complementary: the first one was useful to characterise the raw material and the second one to understand and model variations of the grain composition.
Validation and application of a QuEChERS-based method for estimation of the half-lives of cyromazine and acetamiprid in cowpeas and soil by LC-ESI-MS/MS

ABSTRACT A rapid and sensitive method for the simultaneous determination of cyromazine and acetamiprid in cowpeas by high-performance liquid chromatography coupled to tandem mass spectrometry (HPLC-MS/MS) was developed. The cleanup performance by primary secondary amine (PSA), C18 and graphitised carbon black (GCB) was carried out to optimise the sample preparation step. The analytical method showed satisfactory specificity, selectivity, linearity (R2 > 0.99) and recoveries (85.8–109.0%), relative standard deviation (intra-day RSD) between 2.7% and 14%, precision (92.0–104.2%), the inter-day precision RSD between 0.49% and 9.6%. The limits of detection (LODs) for cyromazine and acetamiprid were 0.0009 mg/kg and 0.0001 mg/kg, respectively, in soil and cowpeas, and the limits of quantification (LOQs) for each was 0.001 mg/kg. The retention times of cyromazine and acetamiprid were 1.54 min and 2.37 min, respectively. The half-lives of cyromazine in cowpeas and soil were 3.13 − 11.18 d, and the half-lives of acetamiprid were 2.1–11.95 d, which indicates that they are low-persistence insecticides with the possibility of evaporating into the air. The matrix effect was compensated for by using the standard addition method. This LC-ESI (+)-MS/MS method with short run time, high sensitivity, and low matrix effects may help laboratories handle routine pesticide residue analysis in different food samples.
Investigation on the modeling and dynamic characteristics of a fast-response and large-flow water hydraulic proportional cartridge valve

In large-power and high-pressure hydraulic systems, the maximum instantaneous flow rate is often several thousand liters per minute. Normal proportional valves are often difficult to meet their requirements for large flow rate and fast response at the same time. And the leakage of hydraulic oil will seriously pollute the environment. Therefore, a novel water hydraulic proportional valve with fast response and high flow capacity is presented for the large transient power hydraulic system in this paper. The valve utilizes a two-stage structure with two 2/2-way water hydraulic proportional valves as the pilot stage and a cartridge poppet valve as the main stage to achieve fast-response and large-flow capacity simultaneously. A detailed and precise nonlinear mathematical model of the valve considering both structural parameters and flow force is developed. A comprehensive performance optimization has been carried out, which can be mainly divided into computational fluid dynamics simulation optimization based on reducing flow force and multi-objective optimization based on genetic algorithm. The effects of double U-grooves' parameters on the flow force (flow-induced loads) have been studied in detail by numerical simulation. Through the grooves geometry optimization, the maximum flow force can be reduced by 10%. Then, the influences of structure parameters on the performance of step response have been studied, and the optimal parameters of the valve have been obtained by multi-objective optimization based on genetic algorithm. The maximum overshoot has been reduced from 15% to 6% (about 60%) and the adjusting time has been reduced from 58 ms to 48 ms. The dynamic characteristics of the valve have been improved effectively. Finally, a test apparatus which has the ability to provide transient large flow is built. The accuracy of simulation model and optimization design method is verified by test results.
Artificial intelligence for ocean science data integration: current state, gaps, and way forward

Oceanographic research is a multidisciplinary endeavor that involves the acquisition of an increasing amount of in-situ and remotely sensed data. A large and growing number of studies and data repositories are now available on-line. However, manually integrating different datasets is a tedious and grueling process leading to a rising need for automated integration tools. A key challenge in oceanographic data integration is to map between data sources that have no common schema and that were collected, processed, and analyzed using different methodologies. Concurrently, artificial agents are becoming increasingly adept at extracting knowledge from text and using domain ontologies to integrate and align data. Here, we deconstruct the process of ocean science data integration, providing a detailed description of its three phases: discover, merge, and evaluate/correct. In addition, we identify the key missing tools and underutilized information sources currently limiting the automation of the integration process. The efforts to address these limitations should focus on (i) development of artificial intelligence-based tools for assisting ocean scientists in aligning their schema with existing ontologies when organizing their measurements in datasets; (ii) extension and refinement of conceptual coverage of – and conceptual alignment between – existing ontologies, to better fit the diverse and multidisciplinary nature of ocean science; (iii) creation of ocean-science-specific entity resolution benchmarks to accelerate the development of tools utilizing ocean science terminology and nomenclature; (iv) creation of ocean-science-specific schema matching and mapping benchmarks to accelerate the development of matching and mapping tools utilizing semantics encoded in existing vocabularies and ontologies; (v) annotation of datasets, and development of tools and benchmarks for the extraction and categorization of data quality and preprocessing descriptions from scientific text; and (vi) creation of large-scale word embeddings trained upon ocean science literature to accelerate the development of information extraction and matching tools based on artificial intelligence.
Land-use conflict identification in urban fringe areas using the theory of leading functional space partition

ABSTRACT Contemporary humanity is confronted with the development dilemma, especially in developing countries, of limited environmental capacity and increased pressure to protect the environment. Based on the concept of the Leading Functional Space Partition, this study identifies land-use conflicts in the urban fringes of ecologically fragile areas in Western China. The purpose is to explore the distribution characteristics of land-use conflicts in urban fringe areas and provide data references to solve a series of ecological and environmental problems inherent in the process of urbanisation. First, relevant software was applied to analyse the current situation of regional land use, and clustering was conducted in line with the goal of “production-living-ecology” to form territorial space zoning with the same function. Then, three leading function evaluation systems were constructed with natural patches of land as the unit to evaluate the current suitability. According to the evaluation results and relevant planning, areas with land-use conflicts were identified, and their spatial characteristics were analysed on this basis. The results demonstrate that the incidence of land-use conflicts in urban fringe areas is high and the spatial distribution presents variability. In the case, the incidence of land-use conflicts in urban fringe areas is very high, with the highest concentration in areas 10–30 km away from urban built-up areas. And the proportion of ecological conflicts in urban fringe areas is the highest.
Two-span bridge under moving load – numerical and experimental approach

From the point of view of bridge structures, the moving load is one of the most important components of the load. The analysis of the influence of moving load on bridges is carried out numerically or experimentally and can be traced in the literature since the year 1849. The first impulse was the collapse of the Chester Rail Bridge in England in the year 1847. The present paper analyses the effect of the moving load on a two-span bridge, both numerical and experimental way. The planar model of the vehicle and the bridge is adopted. The bridge is modeled as Bernoulli-Euler beam. The heavy vehicle is modeled as a discrete computational model with 8 degrees of freedom. Two approaches are used in numerical modeling. For the first time, the task is solved by the finite element method in the environment of the program system ADINA. The Newmark's method is used for the solution of equations of motion. The classic approach is used for the second time. A discrete computational model of a bridge with two degrees of freedom is used. Equations of motion are solved numerically in the environment of program system MATLAB by the Runge-Kutta 4th order method. The influence of vehicle speed on vertical deflections in the middle of individual bridge fields is analyzed in the speed range from 0 to 130 km/h with a step of 5 km/h. The detailed comparison of both numerical approaches is made at a vehicle speed of 70 km/h. The deflections of the bridge and the deflection of the vehicle are compared with each other. The correctness of the assumptions used in the numerical solutions was verified by measurement on a model beam in the laboratory. The results of the experimental tests were compared with the results of the numerical solution.
Rapid preliminary characterisation of host specificity of leaf-beetles (Coleoptera: Chrysomelidae)

Rapid characterisation of host specificity is important both in biological control of weeds and studies in ecology and evolution. A means for doing this was developed and tested on four species of leaf beetles of interest for biological control of the weed Mimosa pigra (Mimosaceae). We identified the most promising for the more detailed tests necessary to obtain release approval. The impact of time-dependent effects and effects of experience were also investigated as part of this study but were not detected. Short-term host specificity tests on adult feeding accurately predicted the results of longer term trials. The long-term trial showed that survival on a plant species depended on feeding on it. Hence short-term feeding trials can predict the longer term survival of adults on other plant species. Different feeding results were obtained in cut foliage versus entire plants but no consistent pattern was shown: of the two insect species tested, one species ate more of the cut material while the opposite was demonstrated for the second species. Species in order of priority for further consideration as biocontrol agents were Syphrea bibiana, Genaphthona sp. , Syphrea sp. and Paria sp. The latter three species were probably not sufficiently specific for release. The tests done here allow the identification of the most likely species upon which to conduct the more laborious and difficult larval developmental tests, saving considerable resources.
Efficient Plant Regeneration of Ipomoea aquatica by Direct Shoot Formation from Cotyledon Segments

An efficient method for regeneration of Ipomoea aquatica was established. Cotyledons with petioles produced adventitious shoots near the excised margins situated only on the distal side, which rooted within one week in a 1/2 MS solid medium without phytohormones. The frequency of adventitious shoot formation depended on the developmental stage of the seedlings. Upon transfer to hydroponics in a greenhouse, all plantlets grew to maturation.
Mine Depth Analyzer for Safety With Intelligence Swarmbots using OpenCV with TensorFlow

- In This paper , The underground mining are contain hazardous gases. The soil present there may contain chemical components. These may affect the mining workers while they enter to work underground. To save the workers from this problem, the swarmbots is designed. The swarmbots contains, obstacle avoidance, pH value (chemical level) sensing, poisonous gas sensing, soil nature detection camera and transceiver. The swarmbots can travel automatically by using its obstacle detection property. The chemical sensor placed in the swarmbots used to sense the chemical (arsenic, mercury and sulphuric acid) level present in mining. The gas sensor is used to detect the presence of hazardous gas in mining. The camera provided in the swarmbots used to detect the chemical (sulphide) with changes in the soil and high rate in unprotected waste rock mine tailing has very acidic water which additionally leaches metals and the surrounding rock produce chemical explosion. All these operations controlled by using Raspberry Pi microcontroller cum microprocessor in swarmbots. These data sent to control room (server) by using Wi-Fi module. The control room has receiving Wi-Fi module connected with another Arduino microcontroller. That fetches data and shows us in TensorFlow images graphical view and convolution neural network (CNN) image of training datasets Model for image classification will be generated using Machine Learning (ML) in TensorFlow. This paper proposes the maintaining routine inspection of miners by intelligence swarm bots that has interfaces with TensorFlow image classifier of prediction of chemical data analysis with help of chembot(chemical sensor). The highly swarm communication is reliable to inspect the underground mine with self-coordination, self-assembling and high speed in task performance
Depth map artefacts reduction: a review

Depth maps are crucial for many visual applications, where they represent the positioning information of the objects in a three-dimensional scene. Usually, depth maps can be acquired via various devices, including Time of Flight, Kinect or light field camera, in practical applications. However, a brutal truth is that both intrinsic and extrinsic artefacts can be found in these depth maps which limits the prosperity of three-dimensional visual applications. In this study, the authors survey the depth map artefacts reduction methods proposed in the literature, from mono- to multi-view, via spatial to temporal dimension, in local to global manner, with signal processing to learning-based methods. They also compare the state-of-the-arts via different metrics to show their potentials in future visual applications.