Specific Solutions Research Articles

SGAM – Smart Geotechnical Asset Management

SGAM (Smart Geotechnical Asset Management) is a service provided through a web-platform running the cloud-based Software as a Service (SaaS) or via API to connect external systems with our service. It represents an innovative and semi-automatic decision-making supporting system for asset management and predictive maintenance purposes to improve the financial resilience of assets, taking advantages of innovative data-fusion algorithms and satellite Earth Observation (EO) technologies (e.g., A-DInSAR and PhotomonitoringTM). SGAM focuses on the risks related to structures and infrastructures, analysing their interaction with the local geological and environmental context, by automatically evaluating the direct or potential future interferences with geohazards (e.g., landslides, floods, fires). The service aims to support Decision Makers in defining and prioritizing the maintenance operations based on the asset vulnerability and loss scenarios. This goal is reached through the integration of the big amount of archived and newly acquired EO data, the available worldwide and regional geodatabases, the information collected by field surveys or other ground-based Structural Health Monitoring and Geotechnical/Geomorphological Monitoring systems, and the proven scientific know-how and experience of the proponent team on geohazards effects in the civil engineering field. SGAM is also designed to be able to implement satellite products from new future space missions, ensuring a vision oriented to the maximum exploitation of the most recent technologies. These components are managed and analysed by specific Process Automation solutions, based on Artificial Intelligence, allowing for a redundant first-level risk-based priority action assessment for cost-effective and optimized maintenance investments.

Research Progress and Prospect on Profile Roll Forming Methods and Equipment

Abstract: In recent years, with the development of aerospace, automotive, rolling stock, shipbuilding, military weapons and other industries, the demand for bent and rolled parts is increasing, and the requirements for roll forming accuracy are growing. With the rapid development of coal power, hydropower, nuclear power, wind power, and petrochemical industries, the design and research on roll bending machine and the profile roll forming methods have come into focus. The purpose of this study is to summarize the classification and characteristics of roll bending equipment, analyze the reasons that affect the accuracy of profile bending, and propose specific solutions. This paper summarizes the research status and patents on the existing roll bending equipment, introduces its structural characteristics, differences, and molding effects, and focuses on the difficulties, optimization, and improvement methods of roll bending molding. In this paper, the mechanical structures of the existing roll forming equipment have been analyzed and compared, the effects of different roll forming equipment on the profile bending results have been determined, and the reasons affecting the bending accuracy have been pointed out. By summarizing the patents and research on profile roll forming methods and equipment, the current situation and future research prospects of roll forming equipment are discussed. The roll forming equipment is divided into a roll bending machine, a CNC roll bending machine, and a flexible roll bending machine. Each design can meet different profile processing needs. From the design point of view, the optimization under the given processing profile can achieve relatively high processing accuracy. However, the processing of different profiles will still produce geometric defects, and there is some space for improvement in the structure of roll forming equipment, the materials of processing rollers, and the NC interactive system. Thus, further research on profile roll forming is needed in the future.

THE EUROPEAN UNION’S POSITION ON THE PHENOMENON OF CORRUPTION

At the beginning of the 1990s, the European Union adopted the so-called Copenhagen criteria, in which Member States and aspiring states were called on to ground their activities on the rule of law. It is assumed that this concept also extends to the issue of corruption, or rather, an effective fight against this phenomenon. In fact, however, the main solutions in this area were for years based on the anti-corruption conventions established by the Council of Europe and the UN. The EU itself was quite restrained in this respect. Although some normative solutions were adopted, they were not within any mainstream European legislation. These matters were raised for the second time in the years 2008–2017, but also then no specific solutions were adopted at the level of the entire EU. Currently, we can see a third take on this issue, i.e. a proposal for a new directive on combating corruption. This time, it seems that the will to confront this problem is much stronger than before. Moreover, it has been noted that corruption is often a mirror image of organised crime, human trafficking, or the waste of funds transferred to Member States from the EU budget.

Exploring Latest Trends in Social Work (The case study of Bhopal

Social work is a dynamic field constantly adapting to address evolving societal needs. This research paper investigates the latest trends in social work practice within Bhopal, India. Through interviews with professors from local universities and founders/leaders of prominent NGOs, the study aims to identify the most pressing social issues currently faced by Bhopal`s communities and the innovative approaches social workers are employing to address them. The paper will also explore how social work practices in Bhopal align with, or diverge from, global trends. The analysis will consider areas such as the rise of technology-based interventions, the growing focus on mental health and well-being, and the increasing emphasis on community empowerment and social justice advocacy. By comparing local practices with international trends, the study will shed light on Bhopal`s unique social work landscape and its potential to contribute to the global discourse. This research paper offers valuable insights into the evolving nature of social work in Bhopal. By understanding the specific challenges and innovative solutions employed by local social workers, the study can inform best practices for social work education and intervention strategies. Furthermore, by comparing Bhopal`s trends to the global landscape, the research can contribute to a more comprehensive understanding of social work`s role in addressing contemporary issues across diverse contexts. This comparative analysis can foster knowledge exchange and collaboration between social work professionals from Bhopal and around the world.

Instabilities of standing waves and positivity in traveling waves to a higher‐order Schrödinger equation

The aim of this paper is to explore a Schrödinger equation that incorporates a higher‐order operator. Traditional models for electron dynamics have utilized a second‐order diffusion Schrödinger equation, where oscillatory behavior is achieved through complex domain formulations. Incorporating a higher‐order operator enables the induction of oscillatory spatial patterns in solutions. Our analysis initiates with a variational formulation within generalized spaces, facilitating the examination of solution boundedness. Subsequently, we delve into the oscillatory characteristics of solutions, drawing upon a series of lemmas originally applied to the Kuramoto–Sivashinsky equation, the Cahn–Hilliard equation, and other equations that employ higher‐order operators. Specific solution types, such as standing waves, are numerically investigated to illustrate the oscillatory spatial patterns. The discussion then extends to the theory of traveling waves to establish general conditions for positive solutions. A contribution of this work is the precise evaluation of a critical traveling wave speed, denoted as , above which the first minimum remains positive. For values of the traveling wave speed significantly greater than , the solutions can be entirely positive.

Study on Overseas Expansion Strategies for Small and Medium-Sized Korean Construction Companies Using PEST Analysis

The purpose of this study is to research overseas expansion strategies for small and medium-sized construction companies(SMCCs) in South Korea. The research methodology employs PEST (Political, Economic, Social, and Technological) analysis within the construction industry. Findings suggest increased investment in research and development, adoption of eco-friendly technologies, and localization strategies. By enhancing competitiveness through advanced technology adoption and strengthening sustainable practices aligned with global standards, firms can mitigate political and economic risks. Policy implications include collaboration with government and relevant agencies to support Official Development Assistance (ODA) projects, provide financial assistance, manage risks, and establish integrated information platforms. Moreover, enhancing capabilities through education and consulting programs in technology, law, finance, and risk management prepares firms for international expansion. This study offers specific solutions to Korean small and medium-sized construction companies, emphasizing enhanced policy support to successfully pursue expansion and growth opportunities in the global market.

THE INFLUENCE OF SECOND LANGUAGE WRITING ANXIETY ON L2 POSTGRADUATE STUDENTS’ DISSERTATION WRITING: A MULTIPLE-CASE STUDY

Second language (L2) postgraduate students are susceptible to experience second language writing anxiety (SLWA) in dissertation writing as they tend to find the writing process arduous. SLWA relates to the recurring negative and anxious feeling when students write which could influence their cognition, behaviour, and physical condition. This reflects the interrelationship between individual’s affect and cognitive process and the negative correlation between SLWA and writing performance reported in past studies. However, more evidence is needed to establish SLWA as an independent construct that could directly affect writing performance. Therefore, this study aimed to explore how SLWA influences L2 postgraduate students’ dissertation writing to have a clearer insight into the phenomenon. This investigation utilised a multiple-case study approach involving four local postgraduate students. Data was obtained through in-depth interviews, audio journals, and personal document analysis. The thematic analysis revealed the following themes: SLWA i) influences emotional states; ii) triggers emotion regulation; and iii) initiates and sustains a debilitative or facilitative psychological loop that influences students’ progress in dissertation writing. Thus, the study posits SLWA as a construct that can directly debilitate writing performance and L2 dissertation writing as having affective costs that makes emotion regulation an important mechanism to restore student’s psychological balance. To overcome SLWA’s influences on dissertation writing, it is recommended that supervisors and language teachers discourage perception of writing inability, recognize writing improvement, identify writing competence, suggest specific solutions to resolve writing issues, and avoid manipulating anxiety to provoke writing performance.

Darboux and generalized Darboux transformations for the fractional integrable derivative nonlinear Schrödinger equation

Analytical methods provide crucial mathematical insights into the stable solitary waves hidden in nonlinear phenomena. The nonlinear Schrödinger (NLS) equation is one of the most important typical integrable soliton models. From a mathematical perspective, the essence of the celebrated derivative NLS (DNLS) equation’s difference from the classical NLS equation lies in its cubic potential being differentiated once by the spatial variable and multiplied by the imaginary unit, which leads to the former having some characteristics that the latter cannot have. This paper extends the DNLS equation to the fractional integrable case with conformable derivative operators, and uses Darboux transformations (DTs) and generalized DT (GDT) to solve it exactly. Specifically, Lax pairs generating the fractional DNLS equation are first given. Based on the given Lax pairs, then the n-fold DTs and GDT for the fractional DNLS equation are derived. Some special exact solutions of the fractional DNLS equation are further obtained by employing the derived n-fold DTs and GDT. Finally, several novel space–time structures and dynamical evolutions of the obtained exact solutions are analyzed. This paper reveals through the DT and GDT methods that the double power-law fractional orders in the exact solutions of the fractional DNLS equation can be used to dominate the variable velocity propagation and anomalous diffusion in fractional dimensional media at different geometric scales.

A Lightweight Rice Pest Detection Algorithm Using Improved Attention Mechanism and YOLOv8

Intelligent pest detection algorithms are capable of effectively detecting and recognizing agricultural pests, providing important recommendations for field pest control. However, existing recognition models have shortcomings such as poor accuracy or a large number of parameters. Therefore, this study proposes a lightweight and accurate rice pest detection algorithm based on improved YOLOv8. Firstly, a Multi-branch Convolutional Block Attention Module (M-CBAM) is constructed in the YOLOv8 network to enhance the feature extraction capability for pest targets, yielding better detection results. Secondly, the Minimum Points Distance Intersection over Union (MPDIoU) is introduced as a bounding box loss metric, enabling faster model convergence and improved detection results. Lastly, lightweight Ghost convolutional modules are utilized to significantly reduce model parameters while maintaining optimal detection performance. The experimental results demonstrate that the proposed method outperforms other detection models, with improvements observed in all evaluation metrics compared to the baseline model. On the test set, this method achieves a detection average precision of 95.8% and an F1-score of 94.6%, with a model parameter of 2.15 M, meeting the requirements of both accuracy and lightweightness. The efficacy of this approach is validated by the experimental findings, which provide specific solutions and technical references for intelligent pest detection.

Optimization of System Performance through Ant Colony Optimization: A Novel Task Scheduling and Information Management Strategy for Time-Critical Applications

Optimization of task scheduling and information storage/retrieval is crucial for managing resource utilization, which enhances system performance and ultimately impacts provider productivity and customer satisfaction. Efficient task scheduling aims to optimize computing time, while efficient information management focuses on maximizing memory usage. This paper presents a novel approach to task scheduling using Ant Colony Optimization (ACO) to improve time-critical objectives such as makespan and network latency, while maintaining balanced load distribution across systems. By enhancing makespan, we aim to maximize CPU utilization, and by optimizing information storage/retrieval, we target minimizing network latency. Performance across these multiple objectives is achieved by modifying the heuristic and visibility functions to guide ants toward specific solutions. The effectiveness of the proposed algorithm, Resource-Aware Load-Balancing for Time-Critical Applications (RALB-TCA), is demonstrated through implementation in the CloudSim simulation platform and benchmarking against existing techniques.

Communicative Dimension of Human Freedom under Deliberative Democracy

Purpose. This article aims to analyse the ways of free communicative solution of civil society problems as a basis for the development of deliberative democracy on the example of the activities of volunteer organisations. Theoretical basis. The conceptual basis of the study is Immanuel Kant’s philosophical understanding of individual obligations as the basis for the institutionalisation of social communication. This concept is developed by Jürgen Habermas in the direction of deliberative democracy. Max Weber, Quentin Skinner, and other theorists give a special status to language communication in the functioning of social institutions. Contemporary Ukrainian researchers analyse the volunteer movement as the basis for the communicative implementation of human freedom. Originality. Practices of political performance in society contribute to the specific and contextual solution of the tasks of communication theory and provide answers to questions about sustainable human needs, on the one hand, and, on the other hand, contribute to solving the political problems of everyday life. Grassroots socio-political movements, and especially volunteer movements, practice free discussion of various social problems, which is the basis of the deliberative democracy. Conclusions. Overcoming value differences between members of society is more effective in deliberative practices as the core of social communication in a democratic society. The substantive way to find new forms of communication is to use deliberative practices of implementing freedom to improve the functioning of social institutions. The formal way is aimed at attracting the experience of volunteer organisations in using the minimum necessary forms of bureaucratisation of social institutions in a democratic society.

Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey

Recently, extensive research has been conducted to explore the utilization of machine learning (ML) algorithms in various direct-detected and (self)-coherent short-reach communication applications. These applications encompass a wide range of tasks, including bandwidth request prediction, signal quality monitoring, fault detection, traffic prediction, and digital signal processing (DSP)-based equalization. As a versatile approach, ML demonstrates the ability to address stochastic phenomena in optical systems networks where deterministic methods may fall short. However, when it comes to DSP equalization algorithms such as feed-forward/decision-feedback equalizers (FFEs/DFEs) and Volterra-based nonlinear equalizers, their performance improvements are often marginal, and their complexity is prohibitively high, especially in cost-sensitive short-reach communications scenarios such as passive optical networks (PONs). Time-series ML models offer distinct advantages over frequency-domain models in specific contexts. They excel in capturing temporal dependencies, handling irregular or nonlinear patterns effectively, and accommodating variable time intervals. Within this survey, we outline the application of ML techniques in short-reach communications, specifically emphasizing their utilization in high-bandwidth demanding PONs. We introduce a novel taxonomy for time-series methods employed in ML signal processing, providing a structured classification framework. Our taxonomy categorizes current time-series methods into four distinct groups: traditional methods, Fourier convolution-based methods, transformer-based models, and time-series convolutional networks. Finally, we highlight prospective research directions within this rapidly evolving field and outline specific solutions to mitigate the complexity associated with hardware implementations. We aim to pave the way for more practical and efficient deployment of ML approaches in short-reach optical communication systems by addressing complexity concerns.

Hypersonic similarity for steady compressible full Euler flows over two-dimensional Lipschitz wedges

We establish the optimal convergence rate to the hypersonic similarity law, which is also called the Mach number independence principle, for steady compressible full Euler flows over two-dimensional slender Lipschitz wedges. Mathematically, it can be formulated as the comparison of the entropy solutions in BV∩L1 between the two initial-boundary value problems for the compressible full Euler equations with parameter τ>0 and the hypersonic small-disturbance equations (the scaled compressible full Euler equations with parameter τ=0) with curved characteristic boundaries. We establish the L1–convergence estimate of these two solutions with the optimal convergence rate, which justifies the Van Dyke's similarity theory rigorously for the compressible full Euler flows. This is the first mathematical result on the comparison of two solutions of the compressible Euler equations with characteristic boundary conditions. To achieve this, we first employ the special structures of the two systems and establish the global existence and the L1–stability of the entropy solutions via the wave-front tracking scheme under the smallness assumption on the total variation of both the initial data and the tangential slope function of the wedge boundary. Based on the L1–stability properties of the approximate solutions to the scaled equations with parameter τ>0, a uniform Lipschtiz continuous map with respect to the initial data and the wedge boundary is obtained, which is the first time for the characteristic boundary conditions. Next, we compare the solutions given by the Riemann solvers of the two systems by taking the boundary perturbations into account case by case. Then, for a given fixed hypersonic similarity parameter, as the Mach number tends to infinity, by employing the Lipschitz continuous properties of the map, we establish the desired L1–convergence estimate with the optimal convergence rate. Finally, we show the optimality of the convergence rate by investigating a special solution.

Prospective same day discharge instrumented lumbar spine surgery - a forty patient consecutive series.

Outpatient lumbar decompression surgeries have been successfully performed in France for over twenty years, earning acceptance. However, outpatient instrumented lumbar spine procedures and arthroplasties are less documented. This study aimed to evaluate the feasibility, efficiency, and safety of outpatient lumbar instrumented surgery. A prospective single-center study involving three experienced surgeons was conducted from September 2020 to September 2021, with a minimum six-month postoperative follow-up. Inclusion criteria comprised patients aged 18 to 75 eligible for same-day discharge, undergoing single-level lumbar spinal fusion or arthroplasty via anterior or posterior Wiltse approach. The primary endpoint was assessing the percentage of successful outpatient discharges (within twelve hours), with secondary endpoints including perioperative/postoperative complications and discharge pain prescriptions in terms of frequency and severity. Forty patients (mean age: 44 years; 16/24 male/female ratio) underwent surgery, including 18 lumbar arthroplasties, twelve ALIF, and ten TLIF procedures. The majority of surgeries were performed at L4-L5 (18 procedures) and L5-S1 levels (22 procedures). 95% (38/40) of patients were successfully discharged within twelve hours, with only two patients discharged the following day. No postoperative hematomas, serious adverse events, or revision surgeries were noted. 95% of patients were discharged successfully within twelve hours following outpatient lumbar fusion surgery, with a 100% patient satisfaction rate. Specific technical solutions were not necessary, and oral pain relief sufficed. Patient selection and education, including early pain management, played crucial roles in complication avoidance. This study underscores the safety of outpatient instrumented lumbar spine procedures, leading to cost reduction and expedited recovery.

Research on the Legal Relationship between Tax Treatment and Tax Penalty under the Background of Judicial Remedies

The diversity of tax processing decisions and tax penalty decisions, as well as the complexity of taxpayers seeking remedies, have sparked many controversies in practice and theory. There have been cases where some taxpayers file lawsuits against tax penalty decisions in order to revoke tax processing decisions. The courts have different opinions on this matter, and long-term coexistence of different opinions will hinder the unity of tax enforcement standards and the maintenance of tax management order. This article is divided into four parts. Through legal analysis of the problems exposed in the administrative penalty case of "Jushantang" Pharmaceutical Group, unique ideas are provided for the controversial practical issues, effectively promoting the prompt resolution of conflicts and social harmony and stability. The first part of this article introduces the concept and types of judicial remedies, as well as the legal basis of tax treatment and tax penalties. The legal relationship between tax treatment and tax penalties under the background of judicial relief is the research object of this article. After reasonable division, the basic theory of judicial relief is clarified, and the legislative and practical status of tax treatment and tax penalties is explored, providing theoretical support for this study. The second part elaborates on the administrative penalty case of "Jushantang" Pharmaceutical Group, extracts the core issues in the case, and raises the issue of the correlation between tax processing decisions and penalty decisions through this case. The following text will conduct a legal analysis around related administrative acts. The third part provides specific solutions to the core issues extracted from the case, by abolishing the "pre tax payment" rule and constructing an administrative self correction system to solve the problems from a legislative perspective, providing taxpayers with more comprehensive relief channels. At the same time, in judicial practice, the exercise of taxpayer relief rights is guaranteed through the court's judicial recommendations and the Supreme Court's issuance of guiding cases, and the issue of judicial disputes is resolved from the source. The fourth part draws the conclusion of the article. This article believes that due to the complexity of tax dispute relief channels and the diversity of practical situations, it is not advisable for some taxpayers to file a lawsuit against tax penalty decisions to revoke tax processing decisions, which is a way to avoid the "double pre emptive" relief rule. In response to this, the "pre tax payment" rule should be abolished, the threshold for taxpayers to seek legal remedies for tax disputes should be lowered, and the conditions for legal remedies should be relaxed.

ĐÁNH GIÁ CỦA SINH VIÊN NĂM THỨ BA NGÀNH NGÔN NGỮ ANH TRƯỜNG ĐẠI HỌC VINH VỀ HỌC PHẦN BIÊN DỊCH 1 VÀ GIẢI PHÁP HẠN CHẾ LỖI DỊCH TỪ TIẾNG VIỆT SANG TIẾNG ANH

Translation 1 is a compulsory course in the undergraduate English Language program at Vinh University. However, the quality of teaching this course is not yet up to expectations. This requires instructors to understand student feedback on this course and survey the translation errors they commonly make in order to propose optimal pedagogical solutions. This paper uses a qualitative research method through a series of survey questions to investigate student evaluations of the Translation 1 course and the Vietnamese - English translation errors. Based on the research results, we propose specific solutions to enhance the effectiveness of teaching the translation course.

Riemann-Hilbert approach and multi-soliton solutions of nonlocal Newell-type long wave-short wave equation

This article’s purpose is to investigate the inverse scattering transform of the nonlocal long wave-short wave (LW-SW) equation and its multi-soliton solutions via Riemann-Hilbert (RH) approach. By using spectral analysis to the Lax pair of LW-SW equation, the RH problem can be constructed. However, we consider spectral analysis from the time part rather than the usual space part, since it is hard to obtain the analyticity of the space part. Then the RH problem can be solved and the formula of the soliton solutions can be given. We provide several special soliton solutions including Y-shaped solitons, V-shaped solitons, bound-state solitons and mixed four-soliton solutions. Compared with the local case, the solutions of nonlocal LW-SW equation exhibit distinct characteristics that (i) these soliton solutions are strictly symmetric with respect to x = 0 under special parameter conditions, (ii) the mixed four-soliton solution, which combines Y-type and bound-state solitons, is novel.

Exploring the Importance and Performance Priorities of Older Adults With a User-Centred Approach to Create a Fall-Free Bathroom.

Fall hazards in bathroom spaces constitute one of the most critical issues in the daily lives of older adults. Bathroom falls are somewhat different and constrained in nature than those in other parts of a home environment. This study aimed to adopt a user-centred approach to explore older adults' general bathroom needs, with a specific focus on showers and bathtubs as the designated activity area. The authors employed an extended importance-performance analysis (IPA) with a mixed-method research design. Three hundred and eleven older adults participated in a face-to-face IPA questionnaire for the quantitative phase of the study. The authors gathered the qualitative data through open-ended questions from 59 older adults. The authors found positive correlation between older adults' attitudes towards an older-friendly bathroom and the potential for their bathrooms to be fall-free. The IPA calculations identify three key items with higher ratings in both importance and performance: The presence of appropriate artificial lighting, efficient mechanical ventilation and an accessible inside towel rail. Thematic analysis yields four themes: comfort, ease of access, error-proof design and emergency management. The IPA calculations and thematic analysis confirm that older adults' rankings of importance and performance and their corresponding priority levels within the overarching themes indicate the need for these aspects to perform well and justify ongoing investments. The study concludes that addressing fall prevention requires not only designing specific solutions but also utilising appropriate technology in bathing and toileting activities. Practitioners in geriatric and gerontological nursing, design, architecture and health care can use the importance and performance priority levels of older adults to guide the development and implementation of fall-free bathroom design. Policymakers can leverage the insights from this research to inform guidelines and regulations related to building codes, accessibility standards and healthcare policies.

Efficient recovery of highly pure CaF2 from fluorine-containing wastewater using an icy lime solution.

Developing a feasible and low-cost strategy for the recovery of calcium fluoride efficiently from fluoride-containing wastewater is very essential for the recycle of fluoride resources. Herein, a modified lime precipitation method was employed to recover CaF2 from fluorinated wastewater using a special icy lime solution. Intriguingly, the highest F- removal was greater than 95% under the optimal condition, leaving a fluoride concentration from 200 to 8.64 mg/L, while the lime dosage was much lower than that of industry. Importantly, spherical-shaped CaF2 particles with a 93.47% purity and size smaller than 600 nm were recovered, which has a high potential for the production of hydrofluoric acid. Besides, the precipitation was significantly affected by Ca/F molar ratio, stirring time, temperature, and solution pH. Furthermore, the thermodynamics and kinetics were investigated in detail to reveal the crystallization process. As a result, the defluorination reaction followed the pseudo-second order reaction kinetics model. Also, CO2 in the air adversely influenced the CaF2 purity. Based on this facile method, a high lime utilization efficiency was applied to defluorination, which contributed to protecting the environment and saving costs. This study, therefore, provides a feasible approach for the green recovery of fluorine resources and has significance for related research.

Development of technology for manufacturing apple chips based on the results of assessment of technological and consumer properties of raw apples

Modern trends in people's nutrition are determined primarily by changed living conditions, in which the desire to reduce the time spent on solving everyday issues, including cooking, has led to the creation of a new range of food products, among which fruit snacks are especially distinguished. In non-CIS countries, apple chips are the most popular and have become in demand among consumers of almost all age categories. Apple chips from imported manufacturers have already appeared on shelves in Kazakhstan, which has presented domestic scientists with the urgent task of establishing their own production from apples growing in our country, since the raw material base of the southern regions can already provide industrial-scale production of various varieties of apples. Apple chips differ from traditional dried fruits in their organoleptic characteristics - their taste is richer, retaining the shape of the plates and crispy crust, and the vitamin and microelement composition is close to the composition of fresh apples. The goal of our research is to develop a technology for the production of apple chips from apple varieties grown on an industrial scale by farms in the Turkestan region using technological methods of blanching sliced apple slices with a special solution and convection drying them. As a research methodology, experimental research methods were used, including the selection of initial apple raw materials, the composition of the blanched solution, the regime parameters for processing apple plates in solution and their drying, and the use of expert methods for determining the consumer characteristics of finished apple chips. The article presents the results of research on the development of technology for the production of apple chips based on an assessment of the technological and consumer characteristics of the Jonagold, Golden, Granny, and Jeramin apple varieties. It has been established that to process them into apple chips it is necessary to select varieties of winter and late winter ripening. The selected ingredient composition of the blanched solution is 30 wt. % sucrose, 1.5 wt. % ascorbic acid, 0.5 wt. % citric acid. The cutting thickness of apple slices should be in the range of 1.5-2.5 mm. Regime parameters for processing apple plates in solution: t = 45-50 0C, processing time 3-5 minutes. The drying parameters for blanched apple plates have been set: t=100-110 0C, drying time 12-14 hours. The moisture content of the finished apple chips was 15%.