Current Conditions Research Articles

Assessment of the current condition and ontogenetic structure of the populations of Leontice incerta Pall. (Berberidaceae) in the Kyzyl-Kum Desert, Uzbekistan

Abstract. Bobokandov N, Nomozova Z, Tashpulatov Y, Isomov E, Akhmedov A. 2024. Assessment of the current condition and ontogenetic structure of the populations of Leontice incerta Pall. (Berberidaceae) in the Kyzyl-Kum Desert, Uzbekistan. Biodiversitas 25: 2757-2764. The desert ecosystems of central Asia, including Uzbekistan, have a rich biodiversity and unique plant communities. High human pressure and long drought periods due to climate change have caused habitat destruction in these areas and a parallel crisis in vegetation cover. This study aimed to estimate the current population of Leontice incerta Pall., primarily distributed in the Kyzyl-Kum Desert, Uzbekistan. This focal species grew under climatic changes and human pressure in the Kyzyl-Kum Desert. The study identified five populations of L. incerta in the Kyzyl-Kum Desert. All 5 populations were estimated and measured by delta-omega and the population spectrum was determined. In the plant community, there are mostly dominated by Asteraceae (6 species), followed by Fabaceae (5 species), Amaranthaceae (4 species), Lamiaceae (4 species), Apiaceae (3 species), and other families. The plant communities consist of 49 species, including 1 species of tree, 6 species of shrubs, 6 species of semi-shrubs, 26 species of perennial herbs, and 10 species of annual herbs. The ontogenetic structure was incomplete, that is, it did not include all age groups due to biological features and harsh conditions. At all sites, the population density was low with most populations classified as young ontogenetic structures. The results will make it possible to understand estimating the current state of L. incerta. It indicated this species might, soon, become rare in the wild, therefore conservation and protection areas for this focal species are necessary.

Prospects for the development of national logistics under sanctions

The article examines the theoretical background and practical experience of creating a logistics startup in the context of the national logistics infrastructure. The purpose of this scientific article is to develop a system of recommendations for implementing a logistics startup in conditions of economic turbulence. The relevance of the stated topic is due to the fact that due to international instability of economic relations, a significant part of the logistics export and import channels have collapsed, which requires entrepreneurial initiative to create new supply channels taking into account current foreign economic realities. At the same time, in the current conditions, the problems of the Russian logistics system related to its lack of self–sufficiency and the presence of certain links, the existence of which is necessary to ensure its integrity, have become urgent. In particular, these links are represented by structures providing container transportation, structures authorized to carry out international insurance and technology companies used in organizing navigation and dispatch processes. The high probability that Russia will be cut off from global logistics processes for a long time indicates that there are unfilled niches in the country for the creation of domestic logistics start–ups, which requires the implementation of logistics start–ups on conditions other than standard market ones.

Scenario Analysis of Socio-Economic and Climate Related Changes in Nutrient Load and Retention for the Pregolya River Catchment (South-Eastern Baltic): The View at the Beginning of 21<sup>st</sup> Century

The study analysed the transboundary Pregolya River Catchment, covering both the Polish and Russian parts, using the HYPE hydrological module and FyrisNP emission-retention model. The results revealed significant spatial variations in nutrient retention. The data assessment indicates that, at the start of the 21st century, the nutrient load from the Polish part of the catchment is significantly greater than that from the Russian part. Model simulations based on climatic projections for the years 2041–2060, but with current nutrient loads, showed a significant level of uncertainty in the changes of nutrient export to the Baltic Sea. The range for total nitrogen was –10 % to +27 %, and for total phosphorus it was –29 % to –10 %. Model simulations based on different socio-economic scenarios, but current climate conditions, showed that if present 5-year trends are maintained, nutrient export will only increase slightly (3 % for total nitrogen and total phosphorus). If the plans for socio-economic growth of Polish and Russian local governments are implemented, including the expansion of agriculture in Kaliningrad Oblast, there will be a significant increase in nutrient export (78 % for total nitrogen and 55 % for total phosphorus).

Optimal adaptive coordination of overcurrent relays in power systems protection using a new hybrid metaheuristic algorithm

AbstractAdvent of distributed generation and progression towards an intelligent grid infrastructure within the domain of contemporary electrical power systems have created dynamic load profiles. Accompanying these developments, protective relays are faced with an evolving electrical load landscape and variable fault current conditions, resulting in disparate operational timings throughout the diurnal cycle. In light of these challenges, this paper delineates the formulation and simulation of a novel adaptive protection strategy for overcurrent relays, meticulously tailored to accommodate the fluctuations in electrical load. To construct a robust framework for this adaptive mechanism, a series of hypothetical fault current scenarios are meticulously crafted to activate the relays within the briefest time interval feasible. Further innovating within this sphere, this paper introduces a new hybrid algorithm, deftly amalgamating the strengths of three preeminent metaheuristic models: Improved Harmony Search, Particle Swarm Optimization, and Differential Evolution. Simulations and analyses substantiate the efficacy of the algorithm in optimizing the coordination among overcurrent relays aiming to uphold the overarching protective imperatives of the grid. For the IEEE 6‐bus system, the mean value of the objective function during 24 h in Monte Carlo is 292.6607 and very close to 272.0758 in the simulation of eight stochastic scenarios, which contributes to the validity of the approach in practical settings. Also, in the IEEE 30‐bus system, the results of the mean relay operation time set for the hours with the lowest and highest consumption load are 17.1297 and 14.8049 s, which reveals the increase in the operation speed of the relays.

Degradation prediction of fuel cell systems based on different operating conditions in dynamic cycling condition

In this paper, the degradation of PEMFC under different operating conditions in dynamic cycle condition is studied. Firstly, according to the failure mechanism of PEMFC, various operating conditions in dynamic cycle condition are classified, and the health indexes are established. Simultaneously, the rates and degrees of the output voltage decline of the PEMFC under different operating conditions during the dynamic cycling process were compared. Then, a model based on variational mode decomposition and long short-term memory with attention mechanism (VMD-LSTM-ATT) is proposed. Aiming at the performance of PEMFC is affected by the external operation, VMD is used to capture the global information and details, and filter out interference information. To improve the prediction accuracy, ATT is used to assign weight to the features. Finally, in order to verify the effectiveness and superiority of VMD-LSTM-ATT, we respectively apply it to three current conditions under dynamic cycle conditions. The experimental results show that under the same test conditions, RMSE of VMD-LSTM-ATT is increased by 56.11 % and MAE is increased by 28.26 % compared with GRU attention. Compared with SVM, RNN, LSTM and LSTM-ATT, RMSE of VMD-LSTM-ATT is at least 17.26 % higher and MAE is at least 5.65 % higher.

Performance Enhancement of Ti/IrO2-Ta2O5 Anode through Introduction of Tantalum-Titanium Interlayer via Double-Glow Plasma Surface Alloying Technology.

Ti/IrO2-Ta2O5 electrodes are extensively utilized in the electrochemical industries such as copper foil production, cathodic protection, and wastewater treatment. However, their performance degrades rapidly under high current densities and severe oxygen evolution conditions. To address this issue, we have developed a composite anode of Ti/Ta-Ti/IrO2-Ta2O5 with a Ta-Ti alloy interlayer deposited on a Ti substrate by double-glow plasma surface alloying, and the IrO2-Ta2O5 surface coating prepared by the traditional thermal decomposition method. This investigation indicates that the electrode with Ta-Ti alloy interlayer reduces the agglomerates of precipitated IrO2 nanoparticles and refines the grain size of IrO2, thereby increasing the number of active sites and enhancing the electrocatalytic activity. Accelerated lifetime tests demonstrate that the Ti/Ta-Ti/IrO2-Ta2O5 electrode exhibits a much higher stability than the Ti/IrO2-Ta2O5 electrode. The significant improvement in electrochemical stability is attributed to the Ta-Ti interlayer, which offers high corrosion resistance and effective protection for the titanium substrate.

Integration of SWOT Analysis - Supply and Demand Approach for Simalungun Regency Culinary Tourism Destination Development Strategy

There is a need to develop local culinary potential as a tourist attraction in Simalungun Regency. This is done to bring as many tourists as possible to Simalungun Regency through culinary tourism. The locus of this research is 4 tourist destinations in Simalungun Regency, namely Haranggaol, BIS, Sibaganding, and Parapat. Regional planning is a process of knowing and analyzing current conditions, forecasting the development of various factors, estimating limiting factors, setting goals and objectives to be achieved, determining steps to achieve goals, and determining locations and various activities to be carried out. One of the approaches taken to carry out the regional planning process is SWOT and Supply and Demand Analysis. The research was conducted over several months involving informants to obtain valid information. Based on the results of interviews addressed directly to informants, currently the attractions offered to visiting tourists are natural attractions in the form of scenery. Therefore, the existence of photo spots is the most desirable because of their natural beauty so it is worth displaying on social media pages such as Instagram and Facebook. Good tourist attractions must be able to bring in many tourists and hold them for a long time, assuming that the greater the profit expected from their presence by providing satisfaction to tourists. Activities and objects that are attractions must be in good condition, both attractions in the form of activities such as dances, as well as attractions in the form of objects, such as temples, krises, and so on, the way of presentation must be appropriate because tourist attractions are presented in front of visitors to tourist objects which will be said to be successful if they cause impressions and satisfaction to tourists. Tourism objects must also be integrated with other tourism requirements such as services and transportation. The identification of tourist attractions and existing supporting facilities/infrastructure in DTW Haranggaol, Bukit Indah Simarjarunjung, Sibaganding, and Parapat, Simalungun Regency was carried out using data on existing tourist attractions in DTW Haranggaol, Bukit Indah Simarjarunjung, Sibaganding, and Parapat, Simalungun Regency obtained from field observations and the results of the Quantitative - Two Steps Questionnaire round I method. The condition data is not only obtained from the results of field observations but also from the average value of respondents' answers to the attraction conditions in round II. The existence of amenities is one of the factors that support the activities of visitors to DTW Haranggaol, Bukit Indah Simarjarunjung.

Strategies for Developing Quality Community Schools under the Office of the Basic Education Commission

The purposes of this research aimed to develop and validate the suitability, possibility and benefits of strategies implementation, and create a user manual of the strategies of quality community schools under the Office of the Basic Education Commission. This study was conducted in five phases. The first phase was the intensive review of the components of quality community schools using relevant documents, research analysis and multiple case studies of the outstanding quality community schools, and an interview with experts. The second phase was the exploration of the needs of the development of quality community schools under the Office of the Basic Education Commission using a 5-rating scale questionnaire to explore the current condition and desirable condition of 192 administrators and the head of academic affairs department of schools under the Office of the Basic Education Commission. The participants were selected using multi-stage sampling. The third phase was the development of the quality community school development strategies through focus group discussion of nine qualified experts and scholars. The fourth phase was the validation of suitability, possibility and benefits of the quality community school development strategies by 7 participants of experts and stakeholders of the quality community schools. And the last phase was creating and validating the user manual of the strategies implementation. Statistics used in data analysis were mean, standard deviation, percentage and Priority Needs Index (PNImodified).

Study on the change of global ecological distribution of Nicotiana tabacum L. based on MaxEnt model.

Nicotiana tabacum L. (tobacco) has extremely high economic value, medicinal value, scientific research value and some other uses. Though it has been widely cultivated throughout the world, classification and change of its suitable habitats is not that clear, especially in the context of global warming. In order to achieve rational cultivation and sustainable development of tobacco, current (average from 1970-2000) and future (2070, average from 2061-2080) potential suitable habitats of Nicotiana tabacum L. were forecasted with MaxEnt model and ArcGIS platform based on 854 occurrence data and 22 environmental factors in this study. The results revealed that mean temperature of warmest quarter (bio10), annual precipitation (bio12), solar radiation in September (Srad9), and clay content (CLAY) were the four decisive environment variables for the distribution of Nicotiana tabacum L. Under current climate conditions, suitable habitats of Nicotiana tabacum L. were mainly distributed in south-central Europe, south-central North America, most parts of South America, central Africa, south and southeast Asia, and southeast coast of Australia, and only 13.7% of these areas were highly suitable. By the year 2070, suitable habitats under SSP1-2.6, SSP3-7.0, and SSP5-8.5 climate scenarios would all increase with the largest increase found under SSP3-7.0 scenario, while suitable habitats would reduce under SSP2-4.5 climate scenario. Globally, the center of mass of suitable habitats would migrate to southeast to varying degrees within Libya under four different climate scenarios. The emergence of new habitats and the disappearance of old habitats would all occur simultaneously under each climate scenario, and the specific changes in each area, combined with the prediction results under current climate conditions, will provide an important reference for the adjustment of agronomic practices and rational cultivation of Nicotiana tabacum L. both currently and in the future.

Program Development for Enhancing Teachers’ Competencies in Teaching Railway Control and Maintenance in Vocational Colleges under the Office of Vocational Education Commission

Teacher competency is crucial for the quality development of learners. Teachers with high competence in learning management will result in high-quality learners. This research aims 1) to study the components and indicators of teachers’ competency in teaching railway control and maintenance. 2) to study current conditions, desirable conditions, methods of development, and needs for the development of teachers’ competency in teaching railway control and maintenance. 3) to design and develop a teachers’ competency-enhancing program in teaching railway control and maintenance, and 4) to study the results of implementing the teacher competency-enhancing program in teaching railway control and maintenance. The methodology was research and development conducted in 4 Phases as follows according to the objectives. The results showed that 1) Components and indicators of teachers’ competency in teaching railway control and maintenance have 5 components, and 17 indicators, confirmed by experts, are appropriate at the highest level. 2) Current condition, teachers’ competency in teaching railway control and maintenance, overall was moderate level. The desirable condition, overall was at the highest level. Competency development methods consist of (a) Training, (b) Self-learning, (c) Workshops, (d) Study visits, and (e) Work practice in the workplace, and the priorities of the needs for competency development, including (a) Self-development, (b) Ethics and professional ethics of teachers, (c) Measurement and evaluation of learning outcomes, (d) Curriculum administration and learning management, and (d) Building relationships and cooperation with the community for learning management, respectively. 3) Teachers’ Competency Enhancing Program in Teaching Railway Control and Maintenance consists of (a) Principles, (b) Objectives, (c) Model and development methods, (d) Contents and developing activities consisting of 5 Modules, and (e) Measurement and Evaluation. The result of the program evaluation by qualified experts was appropriate, utility, and possibility at the highest level. 4) The results of implementing the teachers’ competency-enhancing program in teaching railway control and maintenance were used. It was found that (a) knowledge of teacher competency in teaching railway control and maintenance before development received an average score of 17.70 out of 30, representing 58.99% after development, receiving an average score of 25.90, representing 86.33%. Knowledge after development was higher than before development. (b) Teachers’ competencies and overall performance before development were at a moderate level. After development was at the highest level, and (c) the results of the program satisfaction assessment by participants overall and all aspects are at the highest level.

Professional Development as a Selected Factor Influencing Succession in Family Businesses

Theoretical background: Professional development plays a key role in succession in family businesses. Succession in family businesses means transferring control and ownership of the company from one generation to the next, and choosing the right successor is very important for the future of the company. Therefore, professional development can be a significant factor influencing this decision. Purpose of the article: The article presents professional development as a selected factor that affects succession in family businesses. Research methods: The primary research method chosen for data collection was a survey in the form of a questionnaire. The survey was done through a free online questionnaire – Google Form. This was intended to reach a wider audience from all over the country, so that the respondents would be as representative group as possible. The respondents were contacted through social media messaging and e-mail. This form of data collection was motivated by the desire to obtain responses primarily from young people. While 402 respondents participated in the survey, 305 responses were considered for analysis. Main findings: The following article presents the results of a survey on awareness of the importance of building a career path and professional development and the actual status of the implementation of plans. The survey also addresses issues of satisfaction with respondents’ current working conditions. The current shortage of workers in the labour market and the deepening demographic decline may cause a situation in which a successor does not become a single member of the immediate family. The best effect can be achieved by linking succession planning with the conscious and thorough construction of a career path and professional development based on the family business. The results of the paper relate to research analysing the career decisions of future managers, take into account the impact of the career path on professional development, and contribute to the understanding of the factors analysed in the succession process.

From eradication to conservation: identifying areas for restoration and management of a Pliocene relic in a changing climate

By 1985, approximately 400,000 ha of the keystone species Shinnery oak's (Quercus havardii) historic distribution had been eliminated for agricultural purposes across the southwestern United States. These trends indicate a need for targeted conservation and restoration efforts, especially considering the increased attention received for its role in providing habitat for endangered fauna. Setting spatially explicit conservation targets can be challenging for species with limited distributions, as the change in climate conditions over time may disconnect the relationship between environmental suitability and static, topo‐edaphic factors. Our objective was to identify areas for Shinnery oak restoration and conservation and explore the role climate plays in determining these areas while considering topo‐edaphic relationships. We constructed ecological niche models to estimate Shinnery oak's distribution under current climate conditions and temporally transferred our model using an ensemble‐mean of general circulation models to identify areas predicted to retain environmental suitability for Shinnery oak through 2100. The current distribution model was best informed by one climate and two topo‐edaphic variables. We created a second distribution model excluding topo‐edaphic variables to estimate future plant–climate relationships. Incorporating insights from models informed by both static (e.g. soil) and dynamic (e.g. climate) variables, we identified areas for conservation characterized by persistent climate suitability and high soil type suitability. Lastly, we incorporated data on land use and ownership to explore socio‐ecological influences on management decisions. By identifying areas of agreement between our modeled distributions and considering social context, we prioritized conservation areas where environmental suitability persists under changing conditions to facilitate restoration success.

Towards a Canadian National River Water Quality-Modelling System: State of Science and Future Prospects

Water quality is of significant concern and ultimately critical to every Canadian’s quality of life and security. Canada has diverse and vast landscapes and stressors that impact various waterbodies differentially, with influencing factors including contaminant and nutrient loads from human activity (mining effluent, wastewater, agricultural runoff, plastics), landscape change (wetland drainage, urbanization) and climate change (warming water temperatures, longer open water seasons, extreme hydrological events, intensifying wildfires). Canadian rivers are especially important to the overall biogeochemistry, hydrology, biodiversity, and ultimate health of aquatic and terrestrial ecosystems. While each of Canada’s provinces and territories has extensive river water quality (physical, chemical, biotic) data and monitoring programs, Environment and Climate Change Canada coordinates various national programs that contribute to the collection and consolidation of these data and conducts extensive research into the study and modelling of key river water quality processes. Despite program-specific efforts, there remains poor capacity to predict current and future conditions in monitored and unmonitored Canadian rivers, particularly remote or northern rivers, due to a myriad of factors including lack of coordination amongst groups and examination of areas in which modelling efforts might be integrated. Herein, we review and analyse the current state of data availability, process studies, and modelling systems for Canadian river water quality. Our synthesis reveals that specific physical processes (water temperature, ice formation, permafrost thaw, sediment dynamics), biogeochemical processes (dissolved oxygen, dissolved organic matter, nutrient cycling, metals/contaminants) and ecological/biological features (biota mass, functional indicators) are well understood, though complex, and are amenable to empirical or mechanistic modelling. Review of this information assists us in identifying opportunities and challenges for developing a national water quality modelling system (NWQMS), that would eventually include similar modelling activities for parallel processes in lakes and integrated watersheds. We identify needs for stronger coordination of monitoring programs in remote areas, recommend use of novel remote sensing technologies, and development of a flexible, iterative ‘process’ for integrated modelling to which stakeholders beyond government can contribute. Such a platform would support short and long-term predictive models of Canadian water quality and ecosystem health, inform effluent concentration limits, and be an early warning system for source waters.

Assessing Drought Vulnerability in the Brazilian Atlantic Forest Using High-Frequency Data

This research investigates the exposure of plant species to extreme drought events in the Brazilian Atlantic Forest, employing an extensive dataset collected from 205 automatic weather stations across the region. Meteorological indicators derived from hourly data, encompassing precipitation and maximum and minimum air temperature, were utilized to quantify past, current, and future drought conditions. The dataset, comprising 10,299,236 data points, spans a substantial temporal window and exhibits a modest percentage of missing data. Missing data were excluded from analysis, aligning with the decision to refrain from using imputation methods due to potential bias. Drought quantification involved the computation of the aridity index, the analysis of consecutive hours without precipitation, and the classification of wet and dry days per month. Mann–Kendall trend analysis was applied to assess trends in evapotranspiration and maximum air temperature, considering their significance. The hazard assessment, incorporating environmental factors influencing tree growth dynamics, facilitated the ranking of meteorological indicators to identify regions most exposed to drought events. The results revealed consistent occurrences of extreme rainfall events, indicated by positive outliers in monthly precipitation values. However, significant trends were observed, including an increase in daily maximum temperature and consecutive hours without precipitation, coupled with a decrease in daily precipitation across the Brazilian Atlantic Forest. No significant correlation between vulnerability ranks and weather station latitudes and elevation were found, suggesting that geographical location and elevation do not strongly influence observed dryness trends.

Constructing Favorable Microenvironment on Copper Grain Boundaries for CO2 Electro-conversion to Multicarbon Products.

The electrochemical CO2 reduction reaction (eCO2RR) to multicarbon chemicals provides a promising avenue for storing renewable energy. Herein, we synthesized small Cu nanoparticles featuring enriched tiny grain boundaries (RGBs-Cu) through spatial confinement and in situ electroreduction. In-situ spectroscopy and theoretical calculations demonstrate that small-sized Cu grain boundaries significantly enhance the adsorption of the *CO intermediate, owing to the presence of abundant low-coordinated and disordered atoms. Furthermore, these grain boundaries, generated in situ under high current conditions, exhibit excellent stability during the eCO2RR process, thereby creating a stable *CO-rich microenvironment. This high local *CO concentration around the catalyst surface can reduce the energy barrier for C-C coupling and significantly increase the Faradaic efficiency (FE) for multicarbon products across both neutral and alkaline electrolytes. Specifically, the developed RGBs-Cu electrocatalyst achieved a peak FE of 77.3% for multicarbon products and maintained more than 134 h stability at a constant current density of -500 mA cm-2.

Promoting Mental Health Education Through Sunshine Sports Integration in the Context of New Curriculum Reform

This paper attempts to test and analyze students' mental health status through the reform of physical education curriculum setting mode, reveal the changes and characteristics of individual mental health status, and then promote reasonable and effective physical education reform and the integration of psychological education. Furthermore, this article investigates people's mental health using the Apriori algorithm and the BP algorithm, and accurately presents the current condition using data graphs and other approaches, and its accuracy has grown by 20.32%. It also concludes that we should pursue the aims of social adaption and mental health, as well as support improved implementation of the new physical education curriculum. Physical education instruction must be engaging, but it cannot be done in isolation from sports and practice. As part of the new curriculum reform, physical education should be linked with psychological education.

ANALISIS SANITASI LINGKUNGAN DAN KEBERADAAN VEKTOR TIKUS DI PANTI ASUHAN AL-ISTIKLAL

Environmental sanitation is an effort to monitor and control environmental elements such as clean water and waste, personal hygiene in public places, clean and healthy food processing, and the absence of hazardous substances in the air. This research aims to identify and analyze environmental conditions and the presence of rat vectors at the Al-Istiklal Orphanage, Pekanbaru City. This research uses an observation approach and in-depth interviews to examine current conditions. Five informants were research subjects. The research results show that the sanitary conditions at the Al-Istiklal orphanage are still poor, as shown by SPAL: many piles of rubbish smell bad and do not have lids; rubbish at the orphanage is not sorted before being thrown away and burned; some rooms in the orphanage were not sorted before being burned; and Some rooms have an outdoor and adjoining kitchen, and the windows do not open. Several mice were found in the orphanage. Orphanages must pay more attention to environmental sanitation issues, such as SPAL, food processing, waste processing, and residential density, as well as the presence of rat vectors.

Matching Characteristics of Refrigerant and Operating Parameters in Large Temperature Variation Heat Pump

Characterizing the optimal operating parameters for a heat pump with a specific refrigerant is paramount, as it provides valuable guidance for refrigerant selection. The temperature mismatch between cold and hot fluids in the evaporator and condenser can lead to degraded thermal performance in heat pumps with large temperature variations. To address these two key issues, we selected several pure refrigerants with varying critical temperature levels for use in a large temperature variation heat pump configuration. The corresponding thermal performance was then investigated using the Ebsilon code under fixed temperature lift conditions as the operating temperature varied. It indicates that the maximum coefficient of performance (COP) is typically achieved when the deviation factors of temperature and pressure from their critical parameters fall within the ranges of 0.62~0.71 and 0.36~0.5, respectively. Our research recommends the binary refrigerant mixture of R152a/R1336mzz(z) (COP = 3.54) for the current operating conditions, as it significantly improves thermal performance compared to pure R1336mzz (z) (COP = 2.87) and R152a (COP = 3.01). Through research on the impact of the compositional ratio of R152a/R1336mzz(z) on the thermal performance of the heat pump, we found that that the optimal ratio of R1336mzz(z) component to R152a component is 0.5/0.5. This study offers valuable guidance for selecting the most suitable refrigerants for heat pumps in practical engineering design scenarios.

Strategic priorities to develop enterprises of the forestry complex of the Russian Federation in the context of modern challenges

Subject. We investigate the current state of the timber industry complex of the Russian Federation. Objectives. The purpose is to identify and substantiate strategically important priorities for the development of the domestic timber industry, taking into account the current economic conditions and geopolitical situation. Methods. The study draws on methods of systems and comparative analysis. Results. The paper revealed the main trends and problems of the current stage of development of the domestic timber industry complex. We formulated practical recommendations to solve the problems of the timber industry development, in the face of sanctions pressure. Conclusions. The main priorities for further development of the timber industry complex should be entering to new markets, increasing sales of products in the Russian market, increasing the production of import-substituting products with high added value, modernizing the industry through the supply of equipment from friendly countries.

Pattern classification of bearing faults in PMSM based on time domain feature ensembles

This research aims to identify an effective feature-based pattern classification technique that uses vibration and current data to identify bearing conditions. The authors attempted non-conventional time-domain features to detect the bearing conditions in permanent magnet synchronous motors (PMSM). This work employs two case studies utilizing eight datasets from Paderborn University to identify the bearing conditions of three and twelve classes. In this work, support vector machine, k-nearest neighbor, random forest, decision tree, and naive Bayes classifiers with 10% holdout validation are applied to study 31 feature combinations. This study also examines the Henry gas solubility optimization technique for feature selection to identify the most discriminating features. The results indicate that four feature ensembles consisting of 2 to 5 features performed better with the support vector machine, k-nearest neighbor, and random forest classifiers. In contrast to previous relevant studies, the proposed features are useful in identifying PMSM-bearing conditions with the highest accuracy of 99.8% and 99% using current signals for 3 and 12 classes respectively for combined current operating conditions.