In-depth Processing Research Articles

Gelatinous quality and quantitative proteomic analyses of snakehead (Channa argus) surimi treated by atmospheric cold plasma

In this study, the comprehensive quality characteristics and proteome changes of snakehead (Channa argus) surimi gel under different atmospheric cold plasma (ACP) treatment times were systematically analyzed and compared. The results showed that the ubiquitin-associated proteins and heat shock proteins were activated after ACP treatment for 90 s (ACP90), thus inducing rearrangement of surimi structural proteins. Meanwhile, the increased hydrophobic interactions and disulfide bonds might strengthen the interactions among the myofibrillar protein, keratin, and type-I collagen, which led to the formation of a dense gel network. Moreover, the high nodality between actin and myosin promoted the regulation of muscle contraction by changing the spatial obstruction of their binding sites. These beneficial effects obviously contributed to the superior water-holding capacity (76.13%), gel strength (285.6 g·cm) and viscoelasticity of snakehead surimi in the ACP90 group. These results would provide some useful information for the in-depth and efficient processing of surimi products.

Iron Oxide-Copper Mineral Associations in Supergene Zones: Insights into Flotation Challenges and Optimization Using Response Surface Methodology.

In this study, batch flotation tests were conducted to investigate the flotation of oxidized copper ore from the supergene zone of the Bounhas deposit. Utilizing the Response Surface Methodology (RSM) anchored on the Box-Behnken Design (BBD), the effects of parameters such as collector dosage, sulfidizing agent, copper oxide and iron oxide grades, and particle size on copper recovery were explored. ANOVA and response surface plots elucidated the complex behavior of copper flotation. Mineralogical analyses of the initial feed and postflotation tails were performed on an industrial scale using advanced Zeiss microscopy. The quadratic model with an R 2 of 94.49% accurately captured the impact of the process parameters on copper recovery. Among the key findings, the sulfidizing agent exhibited the most substantial quadratic effect, while the copper oxide grade had the most substantial linear impact on recovery. A pivotal observation was the link between copper losses in tailings and specific iron oxide-copper associations. Optimization identified conditions leading to a maximum copper recovery rate of 71.49%. When validated industrially, the model demonstrated robust applicability for analogous mineral processing contexts. The study's mineralogical insights enhance our understanding of the supergene zone mineralization and offer a solid foundation for subsequent in-depth mineral processing studies.

Prognostic significance of SIRI in patients with late-stage lung adenocarcinoma receiving EGFR-TKI treatment

ObjectiveIn this study, we examined the relationship between the Systemic Inflammatory Response Index (SIRI) and the overall prognosis of patients with late-stage lung adenocarcinoma who harbor epidermal growth factor receptor (EGFR) mutations and are undergoing first-line treatment with EGFR-tyrosine kinase inhibitors (EGFR-TKIs). MethodsA cohort comprising 52 patients with late-stage lung adenocarcinoma, who received treatment at Jinzhou Central Hospital between January 2018 and December 2022, were carefully selected. Patient data spanning from pre-treatment assessments through follow-up periods were meticulously collected from electronic medical records and subsequently subjected to a comprehensive retrospective analysis. The collected data was subjected to in-depth processing and analyzed using SPSS 27.0 statistical software. To determine the optimal cut-off value of the pre-treatment SIRI, a receiver operating characteristic (ROC) curve was employed. Survival analysis was performed using the Kaplan-Meier method, and both univariate and multivariate prognostic analyses were conducted using Cox regression. ResultsThe optimal SIRI cut-off value was determined to be 1.659 (with a specificity of 0.964 and sensitivity of 0.652, P = 0.000). Based on this value, patients were categorized into high and low SIRI groups. Chi-squared tests demonstrated that SIRI exhibited statistically significant correlations with patient age and smoking history (P < 0.05). Survival analysis revealed that the group with a lower SIRI had a significantly extended progression-free survival (PFS) (P < 0.001). Cox univariate analysis identified hypertension, pleural metastasis, liver metastasis, and SIRI as factors associated with PFS (P < 0.05). In the subsequent multivariate analysis, liver metastasis and SIRI ≥ 1.659 (P < 0.001) were identified as independent risk factors for patients. ConclusionPre-treatment SIRI holds predictive significance for the prognosis of patients with late-stage lung adenocarcinoma with EGFR mutations undergoing first-line treatment EGFR-TKI treatment.

Risk Measurement of Investment Portfolio Using Var and Cvar from The Top 10 Traded Stocks on the IDX

Portfolio investment reflects a commitment to the allocation of funds or resources which is considered a strategic step in managing assets to achieve future profits. This research begins with a careful analysis of a portfolio consisting of the ten best stocks on the Indonesia Stock Exchange (IDX). Through in-depth processing and analysis of stock data, the dynamics of performance, risk and volatility involved in each investment commitment are revealed. The Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) methods at the 90%, 95%, and 99% confidence levels take centre stage, highlighting the potential for increased losses as confidence levels increase. In-depth analysis illustrates that CVaR, considering the extreme risks in the distribution, provides a more holistic picture than VaR. With a VaR (99%) value of IDR 84,973,959,424 and CVaR (99%) of IDR 471,795,822,064, this research provides a concrete picture of potential risks at the highest level of confidence. These results confirm that CVaR has a crucial role in identifying and measuring the potential for more significant losses, especially in the face of unexpected market uncertainty. As a guide for investment decision makers, this research forms an important basis for carefully considering the level of risk and potential return at various levels of confidence. This allows the development of smarter and more informed investment strategies.

Assessment of the efficiency of grain production and use based on modern biotechnologies in the Minsk region

Information is provided on the current state of the grain subcomplex in Belarus, in particular the Minsk region. The necessity of further development of high-tech agroindustrial production of a full cycle of in-depth processing of key grain crops on the basis of the Belarusian National Biotechnology Corporation is substantiated. This can help to increase the profitability of the main farms of the Minsk region.

Intelligent robotics harvesting system process for fruits grasping prediction

This paper proposes and executes an in-depth learning-based image processing approach for self-picking apples. The system includes a lightweight one-step detection network for fruit recognition. As well as computer vision to analyze the point class and anticipate a correct approach position for each fruit before grabbing. Using the raw inputs from a high-resolution camera, fruit recognition and instance segmentation are done on RGB photos. The computer vision classification and grasping systems are integrated and outcomes from tree-grown foods are provided as input information and output methodology poses for every apple and orange to robotic arm execution. Before RGB picture data is acquired from laboratory and plantation environments, the developed vision method will be evaluated. Robot harvest experiment is conducted in indoor as well as outdoor to evaluate the proposed harvesting system's performance. The research findings suggest that the proposed vision technique can control robotic harvesting effectively and precisely where the success rate of identification is increased above 95% in case of post prediction process with reattempts of less than 12%.

Current Intelligence and Assessments: Information Flows and the Tension between Quality and Speed

This article takes a particular interest in the dynamics between information flows, continuous ongoing assessments, intelligence dissemination, and forward-looking operational advice. The point of departure is the tension between balancing quality (in the sense of in-depth processing of large amounts of information) and speed (meeting requirements of timeliness) in current intelligence assessments. The article takes an explorative approach to practices in current intelligence, utilizing qualitative interview data combined with open source material.

Abnormal crop warning system based on OpenMV

In order to realize the early warning of abnormal crops, the photographing technology and image recognition technology of openMV and openCV are comprehensively applied to study the early warning of abnormal crops. The design take photos using openMV hardware platform and connects to the cloud through 5G module. Then it conducts in-depth processing such as gray processing, image denoising and boundary detection on the photos through the network server to obtain the location and size of abnormal areas, so as to help spray pesticides later and improve production efficiency.

La carte conceptuelle : un soutien au transfert des apprentissages métalinguistiques

The Concept Map: A Support for Learning Transfer&#x0D; Based on the concept mapping technique, our research endeavors to experimentally address the challenges encountered by candidates taking the Baccalaureate exam, specifically related to their ability to employ interdisciplinary knowledge while inferentially processing texts in French as a foreign language (FLE). The study intersects two disciplines: French as a Foreign Language (FLE) and History courses in the first language (L1). Employing a three-phase action research approach—commencing with a pre-test involving a text recall task, followed by collaborative concept map design using the PREP technique (Langer, 1982-1984) as a metacognitive experience, and concluding with a post-test to validate our approach—we aim to surpass the limited capacity of working memory and facilitate in-depth processing of textual information. By incorporating the concept map into our experimental approach, we aim to simulate "reflection on cognition," aligning with the training in internal monitoring—a central goal in any educational institution. Our initiative addresses linguistic challenges arising from the mental transition between the first language (L1) and the second language (L2), with a particular focus on challenges associated with mental translation. Situated within a plurilingual context involving Classical Arabic (L1) and the second language, French (FLF), we seek to visualize the linguistic interactions occurring during information processing through schematic organization and hierarchization. Resulted revealed that the use of concept maps substantially supports strategies related to analogical reasoning and high-level text processing. This approach significantly enhances learners' lexical repertoire by shaping organizational strategies and facilitating the storage of conceptual knowledge, streamlining retrieval processes. While concept maps undeniably bolster language skills, our research goes beyond this acknowledgement. It not only highlights the positive impact of integrating concept maps for language skill improvement but also emphasizes the untapped potential for even greater significance and promise. The instructional intervention has shed light on specific elements educators should consider to optimize outcomes. As a tool for facilitating transfer learning, the concept map has proven significant, albeit not without some negative transfers. Adjusting teaching strategies based on individual student needs and characteristics is essential to harness the full potential of this approach.

FUNCTIONAL FEATURES AND TYPOLOGY OF URBAN TERRITORIAL COMMUNITIES OF THE TERNOPIL REGION

The problems of the development of territorial communities have become particularly relevant at the current stage. Important features of development are the coherence of economic, social and ecological vectors, taking into account the potential of local resources, additional favorable factors: investment, logistics, infrastructure. Within territorial communities, an inventory of the resource base is carried out, investment passports are created, development strategies are developed, existing problems are analyzed and ways of solving them are substantiated. A complex range of tasks is solved at their levels, which requires a certain level of professional training of management personnel, the introduction of effective monitoring of development processes. The authors have published a series of articles devoted to the analysis of the potential of natural resources, problems of environmental development management, imbalanced land use, etc. Consideration of urban territorial communities (MTH) is due to their leading role as centers of development and regional poles of growth. The novelty of this study consists in the analysis of the main economic, social, ecological parameters and factors of perspective development and the typology of urban territorial communities of the Ternopil region.&#x0D; The authors have published a series of articles devoted to the analysis of the potential of natural resources, the problems of managing ecological development, the imbalance of land use in territorial communities of Ternopil Oblast. Consideration of urban territorial communities (UTC) is due to their leading role as centers of development and regional poles of growth. The novelty of this study consists in the analysis of the main economic, social, ecological parameters and factors of perspective development and the typology of urban territorial communities of the Ternopil region.&#x0D; The basic indicators of the development of 18 UTC s were collected and analyzed. Thus, indicators of high population density are observed in Ternopil and Chortkivska UTC with a high share of the urban population and insignificant indicators of occupied areas. Indicators of the availability of agricultural land are also the lowest in the above-mentioned UTC s (58% and 60%, respectively). The lowest share of arable land is represented in the Ternopil (38.2%), Berezhan (40%) and Monastyris (42.5%) and Shum (42%) UTC s, the location of the last three being limited to substantially forested mountainous areas. The highest shares of land under forests are concentrated in Berezhanska (33%), Shumska (32%) and Kopychynetska (27.3%) UTC. The opposite indicators are observed in Khorostkivska (1.5%), Lanovetska (5.0%) UTC.&#x0D; With regard to indicators of economic development of communities, an analysis of the financial capacity of territorial communities was carried out using such parameters as revenues from the general fund of the budget, the level of subsidization of the TG budget, the share of the community's income due to inter-budgetary transfers. Based on the results of their comparison, four types of urban communities were distinguished according to their functional features and role in development processes: - self-sufficient UTC as a center of regional growth (Ternopil); self-sufficient UTC as regional poles of growth (Chortkivska, Kremenetska, Berezhanska); capable UTC as areas of potential development (Zbarazka, Zborivska, Pidgaetska, Skalatska, Terebovlyanska); conditionally capable UTC as territories of unbalanced development (Borshchivska, Buchachska, Zalischytska, Kopychynetska, Lanovetska, Monastyriska, Pochaivska, Khorostkivska, Shumska). It is emphasized that half of the UTCs (9 out of 18) belong to the conditionally capable category, which implies the substantiation of the system of measures to achieve their coordinated development. Factors of the potential development of UTC were considered, including: natural (due to the optimization of the structure of natural lands, increasing the share of protected objects and territories), social (due to the prospect of creating regional landscape parks as objects of development of the tourist and recreational sphere), economic ( due to its proximity to various transport highways, development of logistics infrastructure, as well as in-depth processing of agricultural products (sugar, alcohol, flour, meat, leather, wool, vegetables and fruits) and forestry products (lumber, mushrooms, berries, nuts). attention to the investment passports of communities, which contribute to the potential opportunities for their participation in investment projects with the involvement of foreign, private and local capital. landscape and national natural parks, enterprises for advanced processing of raw materials and semi-finished products of agro-industrial and forestry complexes within the communities of unbalanced development. Taking into account the development factors specified in the publication, the justification of alternatives will contribute to the search for directions for the balance of natural and economic territorial systems.&#x0D; Key words: urban territorial communities, factors of development of UTC, typology of UTC.

Sharia Economics on Payment Methods Paylater (Pay Later) among Millennials

Referring to the problems and research questions, this research aims to analyze the sharia economic view of paylater payment methods and the attitude of the millennial generation in using paylater but in accordance with sharia economics. This research is descriptive research using a qualitative approach. In this research, data analysis was carried out by conducting in-depth data processing from various articles or journals related to the application of sharia economics in deferred payment methods (paylater) among millennials. Paylater is a delayed payment method that has developed in Indonesia. Based on Research and Market report data, the market value of paylater services in Indonesia has reached $1.5 billion in 2021, and will experience growth of up to $9.2 billion in 2028 with a CAGR of 29.2%. The advantage of using this paylater feature is buy now, pay later. These advantages are excellent for society, especially the millennial generation. The aim of this research is to analyze the sharia economic view of paylater payment methods among millennials.

Separate and overlapping mechanisms of statistical regularities and salience processing in the occipital cortex and dorsal attention network.

Attention selects behaviorally relevant inputs for in-depth processing. Beside the role of traditional signals related to goal-directed and stimulus-driven control, a debate exists regarding the mechanisms governing the effect of statistical regularities on attentional selection, and how these are integrated with other control signals. Using a visuo-spatial search task under fMRI, we tested the joint effects of statistical regularities and stimulus-driven salience. We found that both types of signals modulated occipital activity in a spatially specific manner. Salience acted primarily by reducing the attention bias towards the target location when associated with irrelevant distractors, while statistical regularities reduced this attention bias when the target was presented at a low probability location, particularly at the lower levels of the visual hierarchy. In addition, we found that both statistical regularities and salience activated the dorsal frontoparietal network. Additional exploratory analyses of functional connectivity revealed that only statistical regularities modulated the inter-regional coupling between the posterior parietal cortex and the occipital cortex. These results show that statistical regularities and salience signals are both spatially represented at the occipital level, but that their integration into attentional processing priorities relies on dissociable brain mechanisms.

Face motion form at learning influences the time course of face spatial frequency processing during test

Studies that use static faces suggest that facial processing follows a coarse-to-fine sequence; i.e., holistic precedes featural processing, due to low and high spatial frequencies (LSF, HSF) transmitting holistic/global and featural/local information respectively. Although recent studies have focused on the role of facial movement in holistic facial processing, it is unclear whether moving faces have the same processing mechanism as static ones, especially in the time course of processing. The current study uses the event-related potential technique to investigate this issue by manipulating the facial format at study and face spatial frequency during the test. ERP results showed that the P1 amplitude was increased by LSF faces relative to HSF ones, using both moving and static study faces, with the former larger than the latter. The N170 amplitude was more sensitive to HSF than LSF faces when only static study faces were used, while the P2 amplitude was more sensitive to LSF faces regardless of the facial study format. The above results were not modulated by the race of the faces. These results favor the view that regardless of face race, moving study faces promote holistic processing during the earliest stage of face recognition. Furthermore, holistic processing is observed to be the same for both static and moving study faces at a later stage associated with more in-depth processing. It is evident that facial motion should be factored into further studies of face recognition, given the distinctions between holistic and featural processing for moving and static study faces.

Vertical Flow Constructed Wetland Design for Domestic Wastewater Treatment for Communal Scale in DKI Jakarta Environmental Service Dormitory

To better manage Jakarta's domestic wastewater, the DKI Jakarta Provincial Government commissioned the construction of Domestic Wastewater Treatment Plants (WWTP) in multiple locations across the city. After the results of the measurements have been determined, engineering work needs to order to address the numerous parameters more than excesses of the quality in addition, there. This study intends to develop a vertical flow CW design as an additional treatment for the DKI Jakarta Environmental Service Dormitory Communal Domestic WWTP as a recommendation for improvement so that the quality of treated water can meet domestic wastewater quality standards. This study aims to ensure that the quality of treated water can meet domestic wastewater quality standards. This redesign makes use of a variety of data sources, including primary data as well as secondary data. The necessary information is the quantity of constable water consumption and the quality of the domestic wastewater produced within the environment of the DKI Jakarta DLH Dormitory. Through a network of pipelines, wastewater from activities such as bathing and using the latrines is transported directly to the WWTP. During this time, water from activities such as washing and runoff caused by rain will enter various drainage channels to the receiving water body, the Ciliwung River. The length of the CW at WWTP 1 is 6.718 meters, and its width is 3.35 meters. Following more in-depth processing of the available data, it was discovered that the existing outlet wastewater had a low C/N ratio. When creating wetlands in the field using artificial CW, the discharge that flows into the wetland and the release that flows out of the wetland is not the same. The amount can either be decreased or increased according to the current circumstances. This needs to be considered for the presence of water in the swamp system to be managed. After being processed with VFCW, it was discovered that the total BOD value of the effluent produced was less than 30 mg/L. This suggests that the processing of VFCW can conform to the requirements of PermenLHK No. 68/2016, which is concerned with the Quality Standards for Domestic Wastewater. The ammonium-nitrogen value by comparing the molar mass value to NH3. As a result, WWTP locations 1, 2, and 3 have all achieved the required quality. The NH4 value, on the other hand, has not been able to meet the quality standard of PermenLHK No. 68/2016 concerning Domestic Wastewater Quality Standards. This is because the ammonia concentration from Domestic Communal WWTP 4 is so high. As a solution to this problem, WWTP 4 will be upgraded from four plants per square meter (ppm) to five plants per sq m (ppm), hoping to improve the rate at which plants absorb nutrients. The removal of ammonia using VFCW can range anywhere from 34 - 95 percent. Keywords: Domestic Wastewater, Planning, Constructed Wetland, WWTP

Deterministic and probabilistic analysis of Ukrainian residential property market evolution in turbulent 2019-2022 years

PurposeThis paper aims to examine the influence of Covid-19, current war and other factors on the dynamics of real estate prices in Ukraine from 2019Q2 to 2022Q4. More specifically, the authors examine the extent of the influence of Covid-19 and war on the real estate market in Ukraine.Design/methodology/approachThe authors monitor and accumulate information flows from the existing real estate market with their subsequent in-depth math-stat processing to examine dynamics and drivers of Ukrainian real estate prices evolution.FindingsThe study finds that the Ukrainian residential property market has experienced an average growing trend from June 2019 to December 2022, despite the strong influence of pandemic and war. The analysis shows that the impact of these factors varies across different regions and property types, with some areas and property types being more affected than others. The study also identifies the main drivers of the market evolution, including cost-sensitive factors such as floor level, overall area, housing conditions and geographical location.Research limitations/implicationsThis research is oriented to analyze evolution of residential property market in Ukraine in 2019–2022 years characterized by influence of such disturbing factors as pandemic and military actions.Practical implicationsResults gained are essential for any type of Ukrainian residential market analytics implementation including but not limited to investment analysis, valuation services, collateral, insurance and taxation purposes, etc. In broader sense, it can be also useful for comparison with same type market development in other geographical arears.Social implicationsInitial data base collected and constantly monitored covers all different regions of the country that gives a broad view on the overall market development influenced by pandemic and war.Originality/valueThe lack of a reliable database of the purchase and sale of residential properties remains one of the biggest obstacles in obtaining reliable data on their market value. This considerably complicates the process of carrying out a valuation and reduces the accuracy and reliability of the results of such work. This is especially important for market which evolves in times of unrest being influenced by such strongly disturbing factors as pandemic and military actions. The originality of the study lies in the development of a complete probabilistic processing of the initial database, which provides a reliable and accurate assessment of the market evolution. The results achieved could be used by various stakeholders, such as property owners, investors, valuers, insurers, regulators and other interested customers, to make informed decisions and mitigate risks in the turbulent Ukrainian real estate market.

Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE)

This article presents an assessment of atmospheric pollutant concentrations based on state-of-the-art geoinformation research methods that utilize Sentinel-5 satellite imagery, the cloud computing platform Google Earth Engine (GEE), and ArcGIS 10.8 software. The spatial distributions of some pollutants (nitrogen dioxide, sulfur dioxide, formaldehyde, carbon monoxide, methane) in the atmosphere are analyzed on the example of the basins of the Zapadnyy Bulganak, Alma, Kacha, Belbek, and Chernaya rivers on the north-western slope of the Crimean Mountains. The concentrations of the average annual and average monthly values of pollutants for each catchment area are compared. The GEE (Google Earth Engine) platform is used for extracting annual and monthly average rasters of pollutant substances, while ArcGIS is utilized for enhanced data visualization and in-depth analytical processing. Background concentrations of pollutants within protected natural areas are calculated. By comparing the spatial and temporal distribution of pollutant values with the background concentrations within these protected areas, a complex index of atmospheric pollution is constructed. The spatial and temporal variability of nitrogen dioxide (NO2) concentrations has been thoroughly examined. Based on the regression analysis (R &gt; 0.85), the field of values of the total amount of emissions (which are analyzed for only six points in the study area and in the surrounding areas) was restored on the basis of the spatial and temporal heterogeneity of the field of distribution of nitrogen dioxide values (NO2). Since air pollution can have negative consequences, both for human health and for the ecosystem as a whole, this study is of great importance for assessing the ecological situation within the river basins of the north-western slope of the Crimean Mountains. This work also contributes to a general understanding of the problem of gas emissions, whose study is becoming increasingly relevant. The aim of this research is to assess the potential application of Sentinel-5 satellite imagery for air quality assessment and pollution analysis within the river basins of the north-western slopes of the Crimean Mountains. The significance of this study lies in the innovative use of Sentinel-5 satellite imagery to investigate air pollution in extensive regions where a regular network of observation points is lacking.

Фінансово-економічне стимулювання розвитку переробної промисловості на основі природно-ресурсного потенціалу регіонів у повоєнний період

Introduction. Financial and economic stimulation can be considered as one of the most effective ways to support the domestic processing industry as a whole and restore established or create new chains of generation of added value in the conditions of the legal regime of martial law. This actualizes the need to deepen the research of predictors and challenges of this process and the formation of approaches to the application of the most appropriate forms and tools of financial and economic stimulation, primarily in the regions of Western and Central Ukraine, which are currently actually a catalyst for the recovery of economic growth. Problem Statement. The sphere of financial and economic stimulation of the development of the processing industry through the prism of deepening the processing of natural resources in war and post-war conditions. The purpose is to determine the priority forms and directions of financial and economic stimulation of the development of the processing industry due to the in-depth processing of natural resources in Ukraine in the war and post-war periods based on the application of promising forms and tools of stimulation, using a natural resource and production potential of the western and central regions of Ukraine, which suffered the least economic losses as a result of Russian full-scale aggression. Methods. The methods of monographic analysis, comparison and analogies, correlation-regression, tabular and graphic analysis, and financial and economic synthesis were used. Results. The trends (both before the war and under the conditions of the legal regime of martial law) towards the growth of the role of the processing industry of the western and central regions, in particular in the context of the implementation of the Plan for the recovery Ukraine from the consequences of the war, have been established. Given the uncertainty of the pace of post-war reconstruction, it is advisable to carry out such regulation in the following directions: 1) improvement of the system of financial and economic stimulation formed before the war, taking into account the achieved adaptation progress of its forms and methods to the reform of decentralization in all its manifestations; 2) prioritization of strategically important spheres of processing, which have a significant potential for further development, capable of meeting the immediate needs of the security and defense forces; 3) integration of foreign financial and investment flows and innovative technologies into the national economic system for its extended recovery in accordance with the best global standards; 4) improvement of the state financial and credit system of support for business entities; 5) implementation of the principles of the concept of sustainable and comprehensive development and/or recovery. It has been proven that the stimulation of clustering processes in general and the formation of a new for Ukraine institute of agricultural and construction clusters in particular, the development of industrial and technological parks, primarily in the regions of Western and Central Ukraine, will contribute to the sustainable and comprehensive ontogenesis of the domestic processing industry. The successful implementation of these tasks requires effective coordination of relevant actions by the state and territorial communities, as well as an active position of medium and large businesses, as well as the creation of a favorable investment climate for attracting foreign investments. Conclusions. Prospective forms of ensuring the accelerated recovery of the processing industry from the consequences of armed aggression include industrial parks. When forming their network, it is important to take into account the natural resource potential and the traditional territorial production and economic specialization of the regions of our country. In particular, in the regions of Western and Central Ukraine, which have large areas of agricultural and forestry land, a significant number of small rivers, it is advisable to promote the creation of specialized industrial parks for the development of in-depth processing in the areas of food, light, woodworking, forest chemical industry, building materials industry, and also to develop a favorable environment for the development of renewable energy technologies (biogas, biodiesel, bioethanol, small hydropower plants, etc.).

Hen Egg Production Forecasting: Capabilities of Machine Learning Models in Scenarios with Limited Data Sets

To achieve a sophisticated and self-sufficient production environment that aims to optimize a particular production sequence or direction, a combination of multiple interconnected IoT devices, software, and decision-making expertise is required. This is nowadays referred to as “smart” systems and can be related to almost any field. In the case of the poultry industry, “smart” stands for automatic data gathering, in-depth processing, and decision-making support. The implementation of a smart poultry concept introduces several challenges that are production related (e.g., productivity forecasting); therefore, this study focuses on hen egg production forecasting with limited data sets. Different methods and approaches used in the poultry sector for egg production forecasting were investigated. A cross-comparison was made between different models in order to determine their applicability. The models considered include a non-linear Modified Compartmental and several machine learning (ML) models, such as, Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), XGBoost, and Random Forest (RF). Selected models used only two data sets—one for training and one for testing. Furthermore, the testing data set was significantly different than the training data, therefore setting the forecasting task to be even more challenging. The ML models had significantly more inputs that allowed them to adapt more flexibly to a changing environment in comparison with the nonlinear model that expected only one input, e.g., the week of egg production. The tests showed that the machine learning models proved to be overall more accurate than the selected nonlinear model.

The preventive effect of PNF stretching exercise on sports injuries in physical education based on IoT data monitoring

In physical education, in order to prevent sports injuries of students, it is necessary to study and build a set of physical education Internet of Things data monitoring training system to prevent sports injuries of students. This system is mainly composed of sensors, smart phones and cloud servers. Wearable devices equipped with sensors are used to complete data acquisition and transmission by means of the Internet of Things system, and relevant parameters are sorted and monitored by combining data analysis technology. The system makes a more in-depth, comprehensive and accurate analysis and processing of the collected data, so as to better evaluate the status and quality of students' sports, find out the existing problems in time, and put forward the corresponding solutions. By analyzing students' sports data and health data, the system generates personalized training programs, including training intensity, training time, training frequency and other parameters, so as to meet the needs and actual conditions of different students and avoid sports injuries caused by overtraining. This system can better analyze and process the collected data, provide teachers with more comprehensive and in-depth assessment and monitoring of students' sports status, and provide students with more personalized and scientific training programs, so as to effectively prevent the occurrence of students' sports injuries.

Implikasi Pemahaman pengguna Software OLIBS 724 bagi pegawai Bank NTB Syariah terhadap loyalitas nasabah

This study aims to identify the understanding of OLIBS (Online Integrated Banking System) 724 Core banking Software users and its implications for customer loyalty of NTB Syariah banks. The research method used in this study is qualitative research, namely in-depth data processing with data from observations, interviews, and literature. Direct interviews were conducted with key informants such as officials and technical employees of the Information System Technology division of Bank NTB Syariah, front liner administrative employees of Bank NTB Syariah, and customers of Bank NTB Syariah. The result of this study is that human resources are the main asset and play an essential role for NTB syariah banks, and need to constantly be improved in skills and performance. Bank NTB Syariah needs to place training on the use of OLIBS 724 software as essential in improving the knowledge and performance of its employees (both old and new employees) so that employees can adjust to any conditions. Quality of service must start with customer needs and end with customer satisfaction. Satisfied customers get value from Islamic bank products, the value of fairness for profit sharing as expected, the value of service quality, and the value of the system or something religious emotion, which is to avoid usury. The results of this study show that employee understanding of OLIBS 724 software users positively influences customer satisfaction. The more employees understand the use of OLIBS 724 software, the more customers will be served well and quickly, which in turn will increase customer satisfaction and loyalty