GAN and LSTM-based collaborative tremor classification approach for next generation healthcare system.

Purpose: To adopt different deep learning (DL) techniques for Essential tremor (ET) and Parkinson's tremor (PST) classification, a collaborative approach to address the misdiagnosis of healthy and PSD patients based on ET and PST's frequency patterns and severity.

Methods: This classification uses a comprehensive PDBioStamp time-series dataset to classify tremors based on action and rest tremors of healthy and post-stroke depression (PSD) patients. Combination of DL models, including generative adversarial network (GAN) to generate synthetic data, Autoencoder to reduce the size dimensionality of data and learn a latent representation, long short-term memory (LSTM) to capture temporal features and essential characteristics to improve the performance of tremor classification.

Efficiency of aluminium refining on a foundry degassing unit depending on the rotor geometry and the degree of its wear.

The article studies the issues involved in refining aluminium alloys when introducing small gas bubbles. A good level of dispersion throughout the entire volume of the degassing unit is achieved by using appropriate rotor geometry and selecting optimal process parameters. This study uses physical modelling employing a water model of a foundry degassing unit.

Predictive Modelling and Optimisation of Rubber Blend Mixing Using a General Regression Neural Network.

This paper presents an intelligent predictive system designed to support real-time decision making in the control of rubber blend mixing processes. The core of the system is a General Regression Neural Network (GRNN), which accurately predicts key process parameters, such as viscosity (expressed as torque), temperature, and energy consumption across varying masses of the processed material. The model can evaluate the mixing progress based on the initial 10% of input data, allowing early intervention and process optimisation.

New design solution for porous plug in the argon steel purging process.

The process of blowing liquid steel with an inert gas plays a key role in secondary metallurgy. The required mechanism of forming a gas column can be obtained by using gas-permeable elements with an appropriate design and properties. The article presents a proposal to replace the previously used design solution-a slot plug with a new design device, i.

The role of branching in the ultrafast dynamics and two-photon absorption of two pyrimidine push-pull molecules.

The dynamics and two-photon absorption (2PA) properties of two pyrimidine chromophores are studied using femtosecond time-resolved fluorescence and two-photon excited fluorescence techniques. The pyrimidine is used as an electron withdrawing group and is substituted at the C2 position with a phenylacridan fragment, while diphenylaministyryl donor moieties are appended at positions C4/6 to afford the pseudo-dipolar and pseudo-quadrupolar molecules 1 and 2, respectively. Chromophore 2 shows more efficient fluorescence emission, while 1 exhibits larger Stokes shifts.

Post-Curing Effects on the Tensile Properties of Hybrid Fiber-Reinforced Polymers: Experimental and Numerical Insights.

This study investigates the effects of post-curing temperatures on the tensile properties of hybrid basalt-jute-glass-carbon fiber-reinforced polymers (FRPs). Composite specimens were post-cured at 60 °C and 100 °C for 60 min, and their tensile behavior was assessed using a servo-hydraulic testing machine. Numerical simulations using the Abaqus software V6.

Seniors' attitudes and intention toward IoT enabled healthcare devices in emerging economies.

This study aimed to investigate the factors influencing users' adoption of internet of things-enabled healthcare devices by incorporating two new constructs, perceived product value and perceived technology accuracy, into the united theory of acceptance and use of technology. A total of 772 participants were surveyed using convenience sampling, and partial least squares-structural equation modeling was employed to analyze the data. The results showed that all 'united theory of acceptance and use of technology' constructs, except for performance expectancy, had a significant impact on attitudes toward internet of things-enabled healthcare devices.

Experimental Insights into Free Orthogonal Cutting of Stellite.

The effectiveness of a machining process can be determined by analysing the quality of the generated surface and the rate of tool wear. Stellite is highly challenging to machine, which is why it is primarily processed through grinding methods. This study concentrates on the impact of cutting parameters and tool wear (, ) on the created surface roughness surface (, , ) during the orthogonal cutting of Stellite 6, which is overlaid on a steel surface, C45, prepared by means of HP/HVOF (JP-5000).

Property Tuning in N-Methylpyrrole Azo-Photoswitches via Modification of the Peripheral Substituents.

Differently substituted pyrrole-azo-benzene molecular photoswitches were prepared in a straightforward synthetic way. Their fundamental properties were investigated by XRD analysis, differential scanning calorimetry, thermogravimetric analysis, cyclic voltammetry, UV-Vis absorption spectroscopy, Hyper-Rayleigh Scattering, and NMR spectroscopy; the experimental results were further corroborated by DFT calculations. Thermal robustness, the HOMO/LUMO levels, and the absorption properties were altered mostly by substituting the N-methylpyrrole moiety and further fine-tuned by modifying the benzene substituents.

The Dynamic Change in the Reliability Function Level in a Selected Fire Alarm System during a Fire.

This article discusses fundamental issues associated with the functional reliability of selected fire alarm systems (FASs) in operation during building fires. FASs operate under diverse external or internal natural environmental conditions, and the operational process of FAS should take into account the impacts of physical phenomena that occur during fires. Their operation is associated with the constant provision of reliability.

Design and optimization of a castability test for copper alloys applied to plaster moulds.

The paper deals with the design and execution of the test of the castability into preheated plaster moulds. Castability is an important parameter for the evaluation of foundry alloys. When the metal does not run, it usually causes an irreparable defect in the casting.

Exchange rate instabilities during the Russia-Ukraine war: Evidence from V4 countries.

Purpose: This study investigates the impact of the Russian Ruble on the Czech crown, Polish zloty, and Hungarian forint during the Russia-Ukraine war. The euro is used as a comparative base unit in the four exchange rate parities. The Euro was used since the Czech Republic, Hungary, Poland, and Russia maintain intensive economic relations with the Eurozone.

Modelling the mass consumption potential of Plant Based Meat: Evidence from an emerging economy.

The rising demand for plant-based meat (PBM) has the potential to minimize environmental degradation and save the lives of numerous animals. Furthermore, the intention to consume eco-friendly products triggers people to consume PBM. However, it is essential to understand the factors that influence consumer intentions and actual PBM consumption to enhance its adoption.

Assessment of refining efficiency during the refining cycle in a foundry degassing unit in industrial conditions.

The article focuses on the issue of improving the efficiency of a Foundry Degassing Unit (FDU) via operational testing of aluminium alloys during casting at MOTOR JIKOV Slévárna a.s..

Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology.

Addressing the growing popularity of mobile health (m-Health) technology in the health industry, the current study examined consumers' intention and behaviour related to the usage of digital applications based on the unified theory of acceptance and use of technology (UTAUT). In particular, this study quantitatively assessed the moderating role of perceived product value and mediating role of intention to use m-Health application among Indonesians. This study adopted a cross-sectional design and collected quantitative data from conveniently selected respondents through an online survey, which involved 2068 Telegram users in Indonesia.

Evaluation of organizational culture in enterprises in the Czech Republic using OCAI.

The goal of this work was to use the Organizational Culture Assessment Instrument (OCAI) diagnostic method to find out the existing and preferred organizational culture in companies in the Czech Republic and then to evaluate their dependence on the size of the organizations. Data were collected in 2019-2021 and evaluated using Microsoft Excel and IBM SPSS 24 statistical program, e.g.

Process optimization of one-step direct transesterification and dual-step extraction-transesterification of the Chlorococcum-Nannochloropsis consortium for biodiesel production.

In the present study, the efficacy of one-step direct transesterification (OSDT) and Dual-step extraction-transesterification (DSET) of Chlorococcum sp., Nannochloropsis sp., and their consortium was evaluated for fatty acid methyl ester (FAME) yield.

Intelligent Modelling of the Real Dynamic Viscosity of Rubber Blends Using Parallel Computing.

Modelling the flow properties of rubber blends makes it possible to predict their rheological behaviour during the processing and production of rubber-based products. As the nonlinear nature of such complex processes complicates the creation of exact analytical models, it is appropriate to use artificial intelligence tools in this modelling. The present study was implemented to develop a highly efficient artificial neural network model, optimised using a novel training algorithm with fast parallel computing to predict the results of rheological tests of rubber blends performed under different conditions.

In vitro analysis of novel trimetallic (Ag-Cu-Ni TNC) to handle benzene and benzopyrene pollutants in an aqueous environment.

In this study, a trimetallic nanocomposite comprising Silver Copper-Nickel (Ag-Cu-Ni TNC) was synthesized and analysed for its efficiency in degrading benzene and benzopyrene, which has five fused benzene rings. Fabrication of trimetallic nanocomposites were characterized using UV spectroscopy, FTIR studies, SEM EDAX, and DLS results. XRD confirmed the cubic crystalline Fcc structure of Ag-Cu-Ni TNC.

Modeling the significance of dynamic capability on the performance of microfinance institutions.

According to strategic management theory, dynamic capability plays a significant role in enhancing organizational performance. Using a cross-sectional research design, the current study quantitatively assesses the mediating effect of dynamic capability on the relationships of total quality management, customer intellectual capital, and human resource management practice with the performance of microfinance institutions. An online survey involving 120 members of Induk Koperasi Kredit, a credit union association in West Kalimantan, Indonesia, is conducted.

Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach.

Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to perform long-distance and accurate detection by electromagnetic waves. Therefore, various types of acoustic and even optical sensing devices for underwater applications have been used.

Dynamics of a two-layer neuronal network with asymmetry in coupling.

Investigating the effect of changes in neuronal connectivity on the brain's behavior is of interest in neuroscience studies. Complex network theory is one of the most capable tools to study the effects of these changes on collective brain behavior. By using complex networks, the neural structure, function, and dynamics can be analyzed.

Competitive algae biodiesel depends on advances in mass algae cultivation.

The aim of this review was to study why, despite large investments in research and development, algae biodiesel is still not price competitive with fossil fuels. Microalgal production was confirmed to be a critical cost item (84 up to 93 %) for biodiesel regardless of the production technology. Techno-economic assessment revealed the main cost drivers during mass cultivation.