Evaluation Of Compatibility Research Articles

Evaluation of Compatibility Between Emergency Physicians and Cardiologists in Measuring Pulmonary Artery Pressure: A Prospective, Observational Study

Evaluation of Compatibility Between Emergency Physicians and Cardiologists in Measuring Pulmonary Artery Pressure: A Prospective, Observational Study

Towards private stylists via personalized compatibility learning

Personalized outfit compatibility learning is an emerging yet challenging task. Most of the existing methods focus on general outfit compatibility learning. Although a few works have been proposed for personalized fashion compatibility, they either considered user preference on fashion items with specific patterns or design elements or recommended outfits based on the overall visual similarity according to the users’ preferred collections. This paper adopts physical and fashion attributes for effective personalized fashion compatibility evaluation and recommendation. The physical attributes are concluded into seven aspects: body shape, skin color, hairstyle, hair color, height, breast size (breasts), and color contrast. The personalized outfit compatibility problem in this paper is a multi-label classification problem and formulated as an optimization function with outfit images, fashion attributes, and physical attributes as input. It is the first attempt to solve the problem by discovering the correlation between visual image features, fashion attributes, and physical attributes. Specifically, the correlation is learned with two transformer encoders by updating attention weights of different embedding pairs during the training process. The model can not only predict the fashion attributes of the outfit’s top, bottom, shoes, and bag items, but also predict the incompatible physical attributes of an individual towards the given outfit. It can be used to recommend outfits that best fit an individual and the predicted fashion attributes can be used for result explanation. The O4U dataset, which contains rich annotations of fashion item attributes and human physical attributes of the outfits, is used to evaluate the performance of the proposed method. The quantitative and qualitative results show that the proposed method outperforms state-of-the-art methods for personalized outfit compatibility evaluation.

Modification and performance evaluation of Konjac gum in drilling fluid

Because of the rock carrying property of drilling fluid, it is usually necessary to add bentonite and polymer into the drilling fluid to improve the viscosity of the drilling fluid. However, bentonite and polymer will seriously affect the rheological property, sand carrying property, drilling speed, degassing effect, etc. of the drilling fluid. Therefore, it is necessary to develop a new environment-friendly low viscosity cutting agent for drilling fluid. In this paper, konjac gum was modified by metal complexation. Some modified konjac gum were studied. The effects of different dosages of modified konjac gum on the rheological properties of drilling fluid were analyzed through infrared spectrum characterization, thermogravimetric analysis and compatibility evaluation. The experiment proved that heavy metal cations and inorganic flocculant polyaluminum chloride/iron can coordinate with konjac gum, to form a cation konjac glucomannan chelate system, which enhances the three-dimensional network structure of the molecule; The shielding effect of metal cations will weaken the electrostatic repulsion between -O- in konjac glucomannan and compete with each other, thus affecting the rheological properties. The modified konjac gum not only improves the rheological property of its aqueous solution but also improves its water solubility. The operation process is simple and green.

Computer vision analysis of sample colors versus quadruple-disk iridium-platinum voltammetric e-tongue for recognition of natural honey adulteration

This work presents a deep learning approach for computer vision-based recognition of natural honey adulteration. The results are compared with the machine learning models using chemical data obtained with an innovative bimetallic voltammetric electrode that acts as an e-tongue. Computer vision is based on the recognition of the color of the sample, which changes with the addition of undesirable synthetic substances. The pictures were taken with a smartphone under controlled conditions using seven different background illumination colors for samples that contained 0 – 50 % foreign additives. In the best case root mean square error (RMSE) in the regression approach was 0.46 % for the external test set at R2 = 0.9993, calculated as a compatibility evaluation between the true values and the prediction result. The minimum RMSE for the voltammetric measurements on the quadruple-disk iridium-platinum electrode and the regression algorithms PCR, PLSR, and SVR was 0.25 % with R2 = 0.9998. It has been shown that when food adulteration affects its color, it is possible to successfully replace the classical e-tongue with computer vision. The convenient, rapid, and nondestructive approach does not require the use of equipment, reagents, or solvents and laboratory work techniques typical for analytical chemistry.

Binary PCL–waste photopolymer blends for biodegradable food packaging applications

The aim of this study is to prepare waste photopolymer (WPP) / poly ɛ-caprolactone (PCL) blends that can be used in food packaging with different ratios (5%, 10%, 20% and 30%) WPP. The structural properties of the blend films were characterized by attenuated total reflection-fourier transform infrared spectroscopy (ATR-FTIR), thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC). Opacity, surface color, water vapor permeability and shape memory properties of these films were examined. Pure PCL film exhibited more thermal stability compared to PCL/WPP blend films. Therewithal, the glass transition temperature of the pure PCL film showed a shift. Water vapor permeability improved with the addition of WPP. L*, a* and transmittance values reduced with increasing WPP, but b* value increased. It was thought that these polymer blends would enable to be used as packaging material in terms of compatibility and waste evaluation.

Performance Evaluation of Control Compatibility for an OTEC Pump Shutdown Condition

South Korea is currently in the preparatory stage of commercializing an ocean thermal energy conversion (OTEC) system, as the demonstration of a 1 MW scale OTEC system has been accomplished. However, the commercialization of OTEC requires the establishment of a control system for various environmental changes. Therefore, pre-emptive identification of the system’s risk factors and the process of analyzing the impact of the system, building control items, and optimizing control are necessary. This study aims to establish and analyze an optimized control system for MW-scale OTEC risk factors, such as the shutdown of seawater or refrigerant pumps. The selected OTEC system was designed for 1070 kW class facilities, with a 36.6% portion of total electricity usage by the seawater pump and refrigerant pump. As a result, an on/off control system was adopted in order to eliminate the risk factors. By adjusting this option, dry operation of the refrigerant pump, water hammering, and liquid inflow into the turbine were successfully prevented. To be more specific, the initial system was to be shut down due to a sharp decrease in power at the point where the deep seawater flow rate was 538 kg/s (35.7% of max flow rate) and the surface seawater flow rate was 715 kg/s (38.4% of max flow rate). This situation was improved by adopting parallel operation of seawater pumps and on/off control, thereby leading to a more stabilized operation by maintaining a flow rate of over 1864 kg/s for surface seawater and 1507 kg/s for deep seawater. Moreover, it was confirmed that the flow rate of the pump was reduced by 1.89 kg/s per second in the process of pump shutdown during a single operation mode of the refrigerant pump. Parallel operation made it possible to maintain 60.2% of the output by increasing the power of the second pump’s flow rate in the event of the first pump shutting down. The final seawater temperature differential power generation model derived from this study consists of two refrigerant pumps and two surface seawater and deep seawater pumps in order to prevent system shutdown caused by a single pump failure. The final design was reflected in the final delivery to Kiribati, which is located near the equator.

Dearomative intermolecular [2 + 2] photocycloaddition for construction of C(sp3)-rich heterospirocycles on-DNA.

DNA-encoded library (DEL) screens have significantly impacted new lead compound identification efforts within drug discovery. An advantage of DELs compared to traditional screening methods is that an exponentially broader chemical space can be effectively screened using only nmol quantities of billions of DNA-tagged, drug-like molecules. The synthesis of DELs containing diverse, sp3-rich spirocycles, an important class of molecules in drug discovery, has not been previously reported. Herein, we demonstrate the synthesis of complex and novel spirocyclic cores via an on-DNA, visible light-mediated intermolecular [2 + 2] cycloaddition of olefins with heterocycles, including indoles, azaindoles, benzofurans, and coumarins. The DNA-tagged exo-methylenecyclobutane substrates were prepared from easily accessible alkyl iodides and styrene derivatives. Broad reactivity with many other DNA-conjugated alkene substrates was observed, including unactivated and activated alkenes, and the process is tolerant of various heterocycles. The cycloaddition was successfully scaled from 10 to 100 nmol without diminished yield, indicative of this reaction's suitability for DNA-encoded library production. Evaluation of DNA compatibility with the developed reaction in a mock-library format showed that the DNA barcode was maintained with high fidelity, with <1% mutated sequences and >99% amplifiable DNA from quantitative polymerase chain reaction (PCR) and next generation sequencing (NGS).

Поверхностный Ti-Ni-Ta-сплав, синтезированный на TiNi-подложке электронно-пучковым способом: структура и физико-механические свойства

The structure and physical-mechanical properties of Ti-Ni-Ta-based surface alloy synthesized on the NiTi-substrate through additive thin-film electron-beam method have been studied. The synthesis of the surface alloy was carried out by 30-fold alternation of operations of deposition of a dopant film (Ti60Ta40 (at.%), ~50 nm thick) and liquid-phase mixing of the film/substrate using a pulsed low-energy high-current electron beam. It was found that Ti-Ni-Ta-based surface alloy, whose thickness is ~1.8 μm, has an amorphous structure. It has been established that the surface alloy has ~2 and ~1.5 times higher values of microhardness HOP and elastic modulus EOP compared to the initial NiTi-substrate, but parameter of plasticity δh and shape recovery ratio η close to the substrate. It is shown that the nature of the change in physical-mechanical properties in Ti-Ni-Ta-based surface alloy and the transition zone depends on the number and thickness of the sublayers, as well as on the structural states of the phases in the sublayers. The evaluation of the mechanical compatibility of the surface alloy with the NiTi-substrate is given.

Evaluation of compatibility of file and gutta-percha cones in three different endodontic systems using scanning electron microscopy

Evaluation of compatibility of file and gutta-percha cones in three different endodontic systems using scanning electron microscopy

Evaluation of compatibility of native plant growth promoting rhizobacterial isolates against chemical pesticides

Conventional agriculture relies heavily on chemical fertilizers, pesticides and weedicides to control plant diseases, pests and weeds to improve production. Consequently, the soil receives the bulk of complex agrochemical compounds many of which are poisonous to the activity of non-target beneficial soil microorganisms. There is a need to check the tolerance of biocontrol agents like Plant Growth Promoting Rhizobacterial (PGPR) to various pesticides before their practical application. Taking this into account, the investigation was conducted for the screening of the PGPR isolates against chemical pesticide degradation potentialities in Plant Bacteriological Laboratory, Department of Plant Pathology, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal during 2021-22. All the native rhizobacterial, Bacillus and Fluorescent pseudomonad isolates tested had good potentiality to tolerate Carbendazim and Glyphosate. Among native Bacillus isolates, BRB89, BRB42, PR 19, PR 20, BRB 52, BRB 56, BRB 74, and SM 9 showed moderate tolerance, whereas among all the native Fluorescent pseudomonads, all except GP2 showed high tolerance against Paraquat. All native Bacillus isolates except PR16 were highly sensitive against Chorpyriphos. However, all the native fluorescent pseudomonads showed tolerance against Chorpyriphos even at 2000 ppm concentration.

Fabrication and compatibility evaluation of polycaprolactone/hydroxyapatite/collagen-based fiber scaffold for anterior cruciate ligament injury.

Knee injuries are musculoskeletal system injuries, including the Anterior Cruciate Ligament (ACL). ACL injuries are most common in athletes. This ACL injury necessitates biomaterial replacement. It is sometimes taken from the patient's tendon and a biomaterial scaffold is used. The use of biomaterial scaffolds as artificial ACLs remains to be investigated. The purpose of this study is to determine the properties of an ACL scaffold made of polycaprolactone (PCL)-hydroxyapatite (HA) and collagen with various composition variations of (50 : 45 : 5), (50 : 40 : 10), (50 : 35 : 15), (50 : 30 : 20), and (50 : 25 : 25) wt%. The scaffold was created using the electrospinning method with a voltage of 23 kV, a needle-collector distance of 15 cm, and a solution flow rate of 2 mL h-1. The average fiber diameter in all samples was less than 1000 nm. The model with the best characterization was PCL : HA : collagen with a weight-to-weight (wt%) ratio of 50 : 45 : 5 and an average fiber diameter of 488 ± 271 nm. The UTS and modulus of elasticity for braided samples were 2.796 MPa and 3.224 MPa, respectively, while the non-braided samples were 2.864 MPa and 12.942 MPa. The estimated time of degradation was 9.44 months. It was also revealed to be non-toxic, with an 87.95% viable cell percentage.

Synthesis and characterization of Poly(urea-formaldehyde) microcapsules with 5-ethylidene-2-norbornene as self-healing agent and potential use in polymeric composites.

This study describes a methodology to prepare and characterize PUF [poly(urea formaldehyde)] microcapsules containing 5-ethylidene-2-norbornene (ENB) as self-healing agent, as well as the compatibility evaluation of ENB in the presence of Grubb's catalyst with an epoxy matrix. First, the results of an adhesion assay by lap shear proved chemical compatibility between the epoxy matrix and self-healing agent in the presence of Grubb's catalyst. After evaluating the chemical compatibility, microcapsules with ENB were synthesized in an oil-in-water emulsion system. Thereafter, the microcapsules were morphologically, chemically and thermally characterized in which a granulometric dispersion between 30-140 μm and an average size of 69.8 ± 4.9 μm were observed. The SEM (scanning electron microscope) results showed that the average thickness of microcapsules shell was 3.6 ± 0.4 μm. The thermogravimetric analysis (TGA) showed that microcapsules are susceptible to rupture and consequent ENB release in temperatures greater than 230 °C, demonstrating that microcapsules are suitable for applications in materials with self-healing capacity.

Durability of latent heat storage systems

Latent heat storage represents technology with significantly higher energy storage density. The thermal energy storage capacity of building structures and storage units integrated into building services contribute to the energy flexibility of buildings. This paper presents results from laboratory experiments focused on the compatibility of heat storage media represented by phase change materials (PCMs) with materials of container. Material compatibility of selected PCMs with the plastics and metals were tested by a long-term experiment. Two organic-based and two inorganic-based phase change materials were selected for tests of compatibility with selected metals (aluminium, copper and brass) and plastics (PP-H, PE-HD, and PVC-U). Plastic-PCM compatibility was determined by gravimetric method. For evaluation of metal-PCM compatibility, calculation of corrosion rate was applied. The less mass changes and lower penetration of PCMs to the matrix was observed for inorganic-based PCMs compared to organic-based PCMs. In case of compatibility between metals and PCMs, the highest values of corrosion rate were calculated for copper immersed in inorganic-based PCMs Rubitherm SP25.

Design of robust malate dehydrogenases by assembly of motifs of halophilic and thermophilic enzyme based on interaction network

Robust oxidoreductases in non-aqueous system is promising to bridge the gap between research and industrial application. Malate dehydrogenases (MDHs) were select as model enzyme for redesign based on motif assembly study. The approach involved first selecting or building a stable framework, which subsequently served as a template for replace of functional motifs. First, for scaffold selection, dynamic conformational change of halophilic and thermophilic MDHs was studied by molecular dynamic simulations with increasing salt concentration. Second, computationally inserted the robust motifs which responded to salt concentration into the selected scaffold, and resulted novel MDHs. Third, the top-scoring designs of structure compatibility and dynamic harmony evaluation were selected for experimental verification. The experimental result indicated that the designed MDH03 had the enhanced thermostability, pH and ionic liquid tolerance. The activity of MDH03 was 1.38-fold of parent enzyme in reaction system contain [EMIM]BF4. Further study of amino acid residues interaction network explained the reason of robustness of MDH03 based on high-density salt bridges. Research also indicated that the hydrophobic contacts and pi-pi contacts of interfacial interactions of motifs play a key role for activity and stability of MDH03. This work promoted an approach to design robust dehydrogenase with high ionic liquids tolerance and promote the further application in biosensors.

Energy Storage Facilities Impact on Flexibility of Active Distribution Networks: Stochastic Approach

• A stochastic economical flexibility evaluation method is proposed. • The probability distribution function of the network's flexibility is provided. • The flexibility that storage systems provide for distribution networks is quantified. • The PV generation and energy storage impacts on the flexibility are shown. • The storage capacity should be adopted for the secure distribution grid operation. Deriving benefits from a variety of flexible sources to lower or even eliminate renewable energy resources challenges is an imperative issue in the management of power systems. Constructing a well compatible flexibility evaluation method that encompasses cost minimization and flexibility improvement is crucial to tackle this. In this paper, a stochastic economical flexibility evaluation method is proposed based upon the envelope of the feasible operation region to the uncertain space. The probability distribution function of the network's flexibility is provided for each hour. Furthermore, the flexibility that storage systems as a flexible source provide for the distribution networks is quantified. The flexibility sensitivity to the storage facility capacity is scrutinized. The simulation results show the impact of PV generation and energy storage systems on the flexibility improvement. Moreover, the sensitivity outcomes reveal that which storage capacity should be adopted for the secure distribution grid operation.

Calculation and Characteristics Analysis for Radiated Electromagnetic Field of High Voltage Converter Valve

Calculation and analysis of the radiated electromagnetic field by the high voltage converter valve are very important for the electromagnetic compatibility analysis between the various components of the converter system. First, the electromagnetic radiation calculation process of the converter valve is proposed. Then, according to the actual engineering application, a DC transmission simulation system of the converter system was built, and the current of the converter valve tower arm was obtained. Subsequently, according to the actual size, a 3D calculation model of the converter valve tower was established, and an MoM-based calculation method for the electromagnetic field of the converter valve tower was proposed. Finally, the attenuation characteristics and azimuth characteristics of the converter valve tower are analyzed, and the distribution rules of the radiated electromagnetic field inside the high voltage converter valve hall are clarified, which provide a theoretical foundation for the evaluation of the electromagnetic compatibility of the converter system.

Evaluation of testosterone compatibility with different excipients for the development of a self-emulsifying drug delivery system

Evaluation of testosterone compatibility with different excipients for the development of a self-emulsifying drug delivery system

Genetic Relationship, SPAD Reading, and Soluble Sugar Content as Indices for Evaluating the Graft Compatibility of Citrus Interstocks

The interstock, a stock between the rootstock and scion, has a significant regulatory effect on the stock and scion, and its function is highly dependent on graft compatibility. To assess the graft compatibility of the interstock and scion, 'Yuanxiaochun' was top grafted onto 'Ponkan', 'Shiranuhi', 'Harumi', 'Tarocco', and 'Kumquat'. The results showed significant differences in the survival ratio and preservation ratio among different combinations. Grafting compatibility in the early stages of grafting was associated with the genetic relationship. The biomass accumulation revealed that the interstock could influence both the rootstock and the scion. The physiological and biochemical traits analysis suggested that SPAD reading and soluble sugar could be employed as preselected indices to evaluate graft compatibility in the late stage of grafting. These results indicated that the evaluation of graft compatibility was a dynamic process. The findings provided a new approach for studying the stock and scion interaction mechanisms mediated by interstock, and directly provided a theoretical and practical basis for the high-grafting of 'Yuanxiaochun' citrus.

Study on Co-production compatibility evaluation method of multilayer tight gas reservoir

Tight sandstone gas reservoir normally has a poor pore connectivity and a low productivity of single layer production, and the multilayer co-production technique has received increasing attention to improve its recovery in recent years. However, the range and impact of geological conditions are still unclear, leading to a challenging comprehensive evaluation of multilayer co-production compatibility. In this study, the impact of a series of factors on multilayer tight gas production is discussed by numerical simulation in detail, and their compatibility thresholds are determined. The variable weight based fuzzy comprehensive evaluation (VW-FCE) method is constructed, and a co-production compatibility index (CCI) is further proposed for multilayer tight gas reservoir co-production evaluation, with an application to Daning-jixian tight gas reservoirs for verification. The results show that thickness, permeability, reservoir pressure, and gas saturation are the key factors affecting the co-production, and the 10-year cumulative gas production contribution of the lower sandstone increases with the increase of each parameter ratio between the lower and the upper sandstones. When the properties of two co-production layers are similar, their compatibility is mainly impacted by the formation pressure and gas saturation variations. Otherwise, their compatibility is controlled by the formation thickness and permeability. The CCI values for multilayer co-production is 0.6–1, and the gas production capacity shows a positive exponential relationship with the evaluation index. The proposed method is verified by comparing with the actual production data from typical wells of tight sandstone gas co-production in the Daning-Jixian area, which indicates that the CCI is appropriate to evaluate the co-production compatibility of multiplayer tight gas reservoir, and provide theoretical supports for tight gas co-production.

Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning

As the number of Web APIs ever increases, choosing the appropriate APIs for mashup creations becomes more difficult. To tackle this problem, various methods have been proposed to recommend APIs to match requirements of mashups and achieved much success. However, there existed some challenges with feature fusion and utilization, textual requirement understanding, utilization of Mashup categories and compatibility evaluation. Therefore, we propose a neural framework (MTFM) based on multi-model fusion and multi-task learning for Mashup-oriented Web API recommendation. MTFM exploits a semantic component to generate representations of requirements and introduces a feature interaction component to model the feature interaction between mashups and Web APIs. Output features of both components are further fused to predict the candidate APIs, and this enables us to have both the advantages of content-based and collaborative filtering methods. We further introduce mashup category judgment as an auxiliary task, where both tasks are viewed as a multi-label learning problem and jointly optimized with multi-task learning. Also, we have extended MTFM to MTFM++ to take advantage of the metadata and quality features of APIs, and proposed a metric for compatibility evaluation. Experimental results on the ProgrammableWeb dataset show that our methods outperform most popular state-of-the-art methods.