Technical Problems Research Articles

Personal data protection: Between human rights protection and national security

This study aimed to ascertain the equilibrium between safeguarding citizensʼ personal data and maintaining national security in a digital world. The research analysed the regulatory frameworks and judicial practices of the European Union (EU), Ukraine, and the USA through several methodologies. EU regulation offers the most stringent personal data protection, with substantial penalties for infractions. Ukrainian legislation is progressively aligning with European standards; however, procedures for protection and liability require enhancement. The research indicated an increasing tendency in the utilization of artificial intelligence and big data technologies within national security, presenting new issues for safeguarding personal information from disclosure. The research investigated the ethical implications of utilizing such technologies and their potential effects on citizen privacy. The study examined global regulatory procedures, focusing on the European Court of Human Rightsʼ approach to balancing the objectives of safeguarding personal information and national security. The research identified the necessity to broaden the definition of personal data to include communal dimensions and indirect ramifications of data processing in the context of big data and the Internet of Things. This studyʼs findings underscore the importance of an interdisciplinary approach to personal data security, encompassing legal, technological, ethical, and social dimensions. The analysis presented a conceptual model for harmonizing the regulatory framework for the protection of privileged information, including contemporary technical problems and national security requirements. The research holds practical importance for enhancing regulations regarding personal data protection and can assist the formulation of information security plans

Augmented Reality and Its Integration into Responsive Web Design

Augmented reality (AR) is quickly changing the way people interact with digital content by adding virtual features to real-world settings. This essay looks at how AR can be added to Responsive Web Design (RWD) to improve user involvement and interaction on a wide range of devices without any problems. Making systems that work well on screens of different sizes and orientations is what responsive web design is all about. This flexibility makes sure that watching and interacting are best on computers, tablets, and smartphones. Adding AR to RWD makes this flexibility even greater by adding engaging virtual material that changes based on the user's surroundings. Device support, network delay, and image speed are some of the biggest technical problems that come up when AR is used together. Using HTML5, CSS3 media queries, and JavaScript tools to make AR experiences that work well on all devices is one way to deal with these problems. By mixing AR features with RWD ideas, developers can make experiences that are engaging and can be accessed from any device without slowing them down or making them harder to use. In AR-enhanced RWD, user experience (UX) is all about making exchanges easy and quick. Spatial tracking for accurate virtual object placement, motion recognition for natural interaction, and device position detection for smooth merging with the real world are all things that designers have to think about when they're making something. These parts work together to make an interesting user journey that mixes digital and real-world experiences. Case studies show how AR can be used in real-world situations in fields like education, entertainment, and shopping. Virtual try-on experiences in e-commerce, engaging learning material on top of textbooks, and rich stories in digital media are all examples.

Mekanisme Penilaian Kinerja Karyawan pada Dinas Perhubungan Kabupaten Malang

This study analyzes the employee performance assessment system at the Malang Regency Transportation Office, based on observations and interviews with several employees. Performance assessments are carried out annually with quarterly evaluations by the head of the sub-division. Evaluations include employee performance, financial administration, and staffing. The assessment process involves several stages: Annual Work Plan (RKT), Performance Agreement, Employee Performance Targets (SKP), and the use of the "SIAP KERJA" Application. The RKT is prepared as an elaboration of the Agency's strategy and facilitates program evaluation. A Performance Agreement is a commitment document between leaders and subordinates related to the implementation of tasks with performance indicators. SKP includes targets that must be achieved in a certain period, measured based on quantity, quality, time, and cost. The results of this assessment are then summarized in the "SIAP KERJA" Application, which experiences technical problems such as frequent errors or maintenance. The suggested solution is to fill in daily activities regularly. This performance assessment aims to improve the integrity, accountability, transparency, and performance of the apparatus, as well as be the basis for evaluation, awards, and sanctions to employees.

Characteristic Progress and New Solutions for Nozzle Baffle Type Electro-Hydraulic Servo Valve

Background: This article outlines the working principle of the nozzle baffle type electro- hydraulic servo valve and analyzes the progress of research on its characteristics more fully. Objective: Firstly, it summarizes the research progress on the characteristics of the cavitation phenomenon, which is a common failure of nozzle baffle type electro-hydraulic servo valves; secondly, it comprehensively discusses the structural characteristics of nozzle baffle type electrohydraulic servo valves: moving-iron torque motors and moving-coil torque motors, as well as the progress of the research on the characteristics of the power-stage valve spools and direct-injection valve spools. Method: It suggests to the readers other optimization methods that can be made for the cavitation phenomenon in the future, and brings innovative ideas for the readers in terms of moving-iron vs. moving-coil torque motors and other aspects that can be improved for the power-stage spools vs. direct-injection spools. Again, for the typical technical problems of nozzle baffle type electrohydraulic servo valves, we have searched and organized the related technical patents at home and abroad and clearly outlined the current improvements for nozzle baffle type electro-hydraulic servo valves. Results: Through the discussion of related articles and patents, it is found that although many methods have been proposed at home and abroad to address the shortcomings of the nozzle baffle type electro-hydraulic servo valve, it still has a high failure rate and has not been comprehensively solved, there is still a lot of room for optimization. Conclusion: Finally, the new solutions proposed for the performance deficiencies of nozzle baffle type electro-hydraulic servo valves are summarized, and the future development trend of nozzle baffle type electro-hydraulic servo valves is predicted and outlooked.

WATER SOFTENING PLANTS AND REDUCTION OF IRON AND MANGANESE BY MAGNETIC AND NANOBUBBLE CO2 TREATMENT: A TECHNICAL AND APPLICATIVE ANALYSIS

Human society and environment are based on water resources. Hard water with iron and manganese excess is spread across the world and softening of drinking water is widely applied for reasons of public health, client comfort, economic and environmental benefits. Also, from industrial or commercial point of view, using it produce scale deposits in water systems and equipment often result in ample technical and economic problems. Solutions of reducing its hardness and iron/manganese excess exists on the market, even with the substances presented in the work. The novelty this study brings comes from using high intensity permanent magnets arrangements and CO2 nanobubbles treatment that increased the speed, the volume of treatment, while decreasing the energy and complexity of the installation, also decreasing the pollution mark of the system. The detrimental contributions of softening, in particular the use of chemicals and energy, are taken into account in the carbon footprint of the drinking water companies. The beneficial contributions have not been included in the carbon footprint. For carbon capture in the crystallized calcite and dissolution of CO2 into the softened water, the carbon footprint is compensated by the net carbon benefit of softening.

Realizing enhanced energy storage performance of Na0.47Bi0.47Ba0.06TiO3-based relaxors with weak coupling behavior by manipulating phase fraction

Lead-free dielectric capacitors have attracted considerable attention as the core energy storage element of pulsed power systems due to their advantages of fast charging capability, high power density and environmental friendliness. However, the low recoverable energy storage density (Wrec) and narrow operating temperature range have become the bottleneck technical problems limiting its practical application. In this work, a class of weakly coupled relaxor ferroelectrics with excellent Wrec (9.06 J/cm3) and energy storage efficiency (η ∼ 85.3 %) were designed and prepared by manipulating phase fraction. Moreover, the materials exhibit excellent temperature stability with regard to energy storage, with a change in Wrec and η of less than 8 % over a wide temperature range (25 °C − 200 °C). The introduction of Sm(Mg0.5Hf0.5)O3 (SMH) enhances the insulating properties while refining the grains, effectively increasing the breakdown field strength (Eb) of the material. The emergence of weakly coupled nano-microdomains has the effect of suppressing the nonlinear polarization response of the material, which in turn results in a high polarization difference (ΔP). The preceding work presents a universal strategy for the future design and preparation of BNT-based lead-free dielectric capacitors with high energy storage properties (ESP) and good temperature stability.

Эффективность использования новой роботической системы Versius для выполнения операций у детей: результаты клинических испытаний

Authors represent the Russia’s first research demonstrating the results of the use of the Versius modular & portable surgical robot by “CMR Surgical,” Ltd. (Cambridge, Cambridgeshire, United Kingdom) in surgical interventions on pediatric patients that they’ve obtained as part of the clinical trials complex approved by the Federal Service for Surveillance in Healthcare of Russia (“Roszdravnadzor”). The purpose of this research was to obtain practical evidence of the clinical safety and effectiveness of the use of the new Versius® Surgical Robotic System in minimally invasive surgical interventions on children. The criteria for the safety and effectiveness of the method were the absence of complications caused by the Surgical Robotic System (SRS) operation or the surgical technique as well as the absence of dropping into either laparoscopy or open surgery technique. Material and methods used: non-randomized single-center controlled trial had been carried out in children aged 1 to 18 y/o. Areas of application for surgical procedures included urology, abdominal and thoracic surgeries. Results: the number of patients who had undergone the robot-assisted surgeries had totaled 55 (27 (49%) m/28 (51%) f). The patient’s median age of the surgical intervention was 11.5 [7.0; 15.0] y/o; the median weight was 45.5 [27.0; 59.0] kilograms; the median surgical intervention duration was 140.0 [85.0; 175.0] minutes; patients’ stay in the intensive care unit had averaged for 23.0 [19.0; 24.0] hours; the average hospitalization duration was 8.0 [4.0; 14.0] days. Surgical interventions weren’t accompanied by any of the intraoperative complications such as bleeding, organ perforation and/or injury to adjacent anatomical structures. Conversions to either laparoscopic or open surgery technique also weren’t recorded. The equipment technical problems with SRS such as sudden system power-off, synchronous interaction of joysticks/manipulators interruption, robotic arms blocking, manipulators’ uncontrolled movement and/or traumatic effects on the tissues of the abdominal wall/chest weren’t recorded as well. Conclusion: the preliminary results obtained from the clinical trials complex affirm the potential ability of the Versius® Surgical Robotic System to performing robotic surgical interventions on pediatric patients aged 1 to 18 years old.

Measuring the operational performance of an artificial intelligence-based blood tube-labeling robot, NESLI.

Laboratory testing, crucial for medical diagnosis, has 3 phases: preanalytical, analytical, and postanalytical. This study set out to demonstrate whether automating tube labeling through artificial intelligence (AI) support enhances efficiency, reduces errors, and improves outpatient phlebotomy services. The NESLI tube-labeling robot (Labenko Informatics), which uses AI models for tube selection and handling, was used for the experiments. The study evaluated the NESLI robot's operational performance, including labelling time, technical problems, tube handling success, and critical stock alerts. The robot's label readability was also tested on various laboratory devices. This research will contribute to the field's understanding of the potential impact of automated tube-labeling systems on laboratory processes in the preanalytical phase. NESLI demonstrated high performance in labeling processes, achieving a success rate of 99.2% in labeling parameters and a success rate of 100% in other areas. For nonlabeling parameters, the average labeling time per tube was measured at 8.96 seconds, with a 100% success rate in tube handling and critical stock warnings. Technical issues were promptly resolved, affirming the NESLI robot's effectiveness and reliability in automating the tube-labeling processes. Robotic systems using AI, such as NESLI, have the potential to increase process efficiency and reduce errors in the preanalytical phase of laboratory testing. Integration of such systems into comprehensive information systems is crucial for optimizing phlebotomy services and ensuring timely and accurate diagnostics.

Exploration of the application of artificial intelligence in modern agricultural production Take orchard management as an example

In the context of increasing global agricultural challenges, the application of artificial intelligence technology in the agricultural field is increasingly a trend, especially in the production of agricultural products, intelligent identification technology has shown the potential to significantly improve production efficiency and optimize yield and quality. By the mid-21st century, demand for food production is expected to reach 50 percent, and there will be enormous pressure to achieve this goal with traditional agricultural technologies, which could be achieved through the application of artificial intelligence. The application of artificial intelligence technology in modern agricultural production will be analyzed in detail in this paper, the guidance of future research fields will be proposed, and the existing challenges and technical problems will be identified and discussed in order to promote the deepening and wide application of intelligent agriculture. This paper specifically discusses examples of applications in orchard management, pest detection, and automated harvesting and summarizes the effectiveness and obstacles of these techniques.

STRUCTURE OF ERRORS IN CONDUCTING FORENSIC MOLECULAR-GENETIC EXPERTISE

Identification expertise is one of the most complex types of expertise and, according to global standards such as DVI-Interpol, involves several parallel types of investigation aimed at confirming the result. Forensic molecular genetic testing is considered the "gold standard" of identification studies, as the high discriminatory power of this method allows results to be obtained with a high degree of certainty. However, due to errors at various stages of the expert's work, it can sometimes produce erroneous results that are inconsistent with other parallel investigative methods. The aim of the study was to determine the frequency and causes of errors leading to erroneous results of molecular genetic forensic examination in the Ivano-Frankivsk Scientific Research Forensic Centre of the Ministry of Internal Affairs of Ukraine from 2019 to 2024. Materials and methods. A retrospective study of 4595 conclusions of forensic molecular-genetic expertise from 2019 to 2024 at the Ivano-Frankivsk Scientific Research Forensic Center of the Ministry of Internal Affairs of Ukraine was conducted. Results and discussion. When analysing the reasons for obtaining erroneous results, it was found that human error and contamination were the most frequent causes throughout the study period. Technical problems, sample mix-up and others were less frequent. Conclusions. The indicators and error structure presented in this study are useful for improving the quality and control of the performance of forensic molecular genetic expert testimony, as well as contributing to the formation of an open research culture and helping to find ways to minimise errors. However, it is important to remember that they are not relevant in the context of a specific study. It is also worth considering the possibility of the presence of specific undisclosed errors in a particular case. It is also important to clearly indicate the possibility of DNA transfer, etc. Forensic statistical models, including Bayesian networks, can be useful to account for various uncertainties and to demonstrate their impact on the probative value of forensic molecular genetic expert testimony.

Evaluating the Effectiveness of African School of Hypertension for Non-Physician Health Workers, a Qualitative Study: QuASH Hypertension Study.

The implementation of task sharing and shifting (TSTS) policy as a way of addressing the shortage of physicians and reducing the burden of hypertension in Africa birthed the idea of the African School of Hypertension (ASH). The ASH is saddled with the responsibility of training non-physician health workers across Africa continent in the management of uncomplicated hypertension. To get feedback from some faculty members and students who participated in the first ASH programme. This was a cross-sectional exploratory qualitative study conducted among eight students and eight faculty members. Feedback from the program was obtained by conducting in-depth interviews centred on description of course content; expectations and knowledge acquired from ASH; level of interaction between students and faculty members; challenges faced during the ASH; level of implementation of acquired training; and suggestions to improve subsequent ASH programs. The course content of the ASH was described as simple, appropriate and adequate while interaction between students and faculty members were highly cordial and engaging. New knowledge about hypertension management was acquired by the students with different levels of implementation post-graduation. Some identified challenges with the ASH program were poor internet connectivity during lectures, non-uniformity of TSTS policies and hypertension management guidelines across Africa, technical problems with hypertension management app and low participation from other African countries apart from Nigeria. Some recommendations to improve ASH program were development of a uniform hypertension management guideline for Africans, wider publicity of the ASH, interpretation of lectures into French and Portuguese languages and improvement of internet connectivity. The ASH programme has largely achieved its objectives with the very encouraging feedback received from both faculty members and the students. Steps should be taken to address the identified challenges and implement the suggested recommendations in subsequent ASH program to sustain this success.

음주운전방지장치 부착 조건부면허 도입에 따른 정책적 및 기술적 고려사항에 관한 연구

Last year, there were 214 deaths from drunk driving traffic accidents in Korea, this rate is very high for 7.8% of all traffic accident deaths. Looking at the average drunk driving recidivism rate over the past five years, 44.5% of drunk drivers were repeat offenders. Despite the strengthening of drunk driving enforcement and punishments, drunk driving problems are still serious in Korea. In order to eradicate habitual drunk driving, an amendment to the Road Traffic Act about the legislation of alcohol ignition interlock device was passed last year in Korea, and it will be introduced in October of this year. In order to operate this system following the legalization of alcohol ignition interlock device effectively, the Road Traffic Act enforcement decree and enforcement rules must be established, and an operation manual must be also developed in accordance with Korean circumstances. To this end, this study was performed to identify policy issues and technical problems resulting from the introduction of alcohol ignition interlock device and to minimize them before operating this system targeting drunk driving repeat offenders. Policy issues were included the double punishment, privacy invasion due to excessive log data collection, operating costs, prior education programs and alcohol dependence of drunk drivers. Technical issues were also reviewed by considering National Police Agency standards, installation and operation management organizations and/or institutes, ignition prevention by proxy, log data management, system security, override function, and blood alcohol concentration display method. Finally, the limitations of this study and the implications of future researches were discussed. This study might be helpful to reduce alcohol related to traffic accidents effectively using an alcohol interlock system in Korea if policy makers can review these considerations closely.

Factors associated with chronic abdominal pain in patients with inflammatory bowel disease in remission: A pilot cross-sectional study.

Patients (20%-50%) with inflammatory bowel disease (IBD) experience chronic abdominal pain during remission. The clinical features of IBD patients with abdominal pain during remission remain poorly characterized. This cross-sectional pilot study aimed to assess patient recruitment, adherence, and feedback to optimize questionnaires for future use and to determine the clinical features that distinguish IBD patients in remission with and without abdominal pain. Online validated questionnaires about disease activity, symptoms, and psychological factors were sent to participants of the UK National Institute for Health and Care Research (NIHR) IBD BioResource, which is a national research platform consisting of re-callable IBD patients designed to expedite research into Crohn's and colitis. Inclusion/exclusion criteria of the IBD BioResource main cohort were applied. Descriptive and inferential statistics were applied to participants in remission. p-values ≤0.01 were considered significant. A total of 2050 patients were approached; 291 (14.2%) of these agreed to participate. In 35 patients, technical problems, length, and poor understanding of the relevance of some questionnaires affected completion as confirmed by feedback. In total, 244 patients were full responders with 122 (50%) in remission; 33 (27%) of these had chronic abdominal pain. Comparison of those with versus without (n = 89) chronic abdominal pain yielded higher scores in patients with pain for the following: somatization (p < 0.001); gastrointestinal symptoms rating scale score (p = <0.001); highly sensitive person scale (p = 0.007); catastrophizing score (p = 0.010). Trends were observed for azathioprine use (p = 0.021); coping resources inventory health in general (p = 0.046); neuroticism (p = 0.019); and poor sleep (p = 0.03). Differences in symptoms and psychological characteristics exist between IBD patients in remission with and without abdominal pain. Confirmation of findings in larger studies may facilitate development of personalized chronic pain treatments for IBD patients.

Field detection of genetically modified crops: Simple DNA extraction, rapid assay and automatic output on smartphone

Rapid and accurate detection of genetically modified crops (GMC) is significant for crop supervision and genetically modified product labeling. For field detection of GMC, the rapidity and simplicity of the sample pretreatment and detection process are very important. Simplifying the extraction process of DNA in crops and speeding up the detection process are the technical problems that need to be solved. Therefore, this paper provides a field detection method for GMC. First, the selected universal LAMP primers of the chloroplast gene can be used to detect reference genes in nine crops with the most transgenic detection needs. The universal primers of reference genes can not only improve the accuracy of detection, but also omit the design and synthesis of reference gene primers in different crops. Second, a high concentration of DNA can be obtained using simple and fast DNA extraction methods within 5 min. The specific concentration of GuHCl in lysis buffer can accelerate the subsequent nucleic acid amplification reaction. Third, a new probe-LAMP method was established, with high reaction speed and specificity. Using the dual probe-LAMP for transgenic and reference genes in a handheld nucleic acid detector, the detection of GMC can be completed within 25 min. Two different fluorescence signals generated from the LAMP reaction are processed through a special logic gate, and finally three kinds of results of "Positive", "Negative" and "Invalid" are output on a smartphone. This method from sample processing to intelligent result output can achieve accurate, rapid, simple, low-cost, pollution-free field detection of GMC.

Вплив інноваційних освітніх технологій на підготовку фахівців в умовах динамічного розвитку ринку праці

The article substantiates the impact of innovative educational technologies on the training of specialists in the context of dynamic development of the labour market. The key innovative technologies, such as online courses, augmented and virtual reality, artificial intelligence, gamification, are analysed, and their advantages and disadvantages are considered. The article shows how these technologies affect the learning process, increase student motivation, and develop creativity and critical thinking. The purpose of the article is to determine the impact of innovative educational technologies on the training of competitive specialists in the context of modern labour market challenges. Based on the analysis of the use of innovative technologies in the educational process, an attempt is made to substantiate their importance for improving the quality of professional training. In particular, the potential and risks of introducing such technologies as artificial intelligence, virtual and augmented reality, and gamification are identified. Particular attention is paid to the need to develop appropriate pedagogical models and methods for the effective use of these technologies. It is established that innovative educational technologies are an important factor in improving the quality of training, and their implementation allows creating a more efficient, personalised and future-oriented education system. However, in order to achieve maximum effect, a number of organisational, technical and financial problems need to be addressed. Given the complexity and multidimensionality of the chosen topic, the prospects for scientific research are further research of innovative technologies and their practical testing in various fields of education.

Usability Evaluation in a Remote Access Scenario.

We present an approach to use the think aloud method for formative usability evaluation for medical software in a remote access scenario which combines researchers in two different locations and test persons distributed across five Swiss hospitals into one study using MS-Teams. We could show that a) these tests can be performed remote in a tight time schedule and b) that results valuable for the formative development of the examined mockup solution could be achieved. Two sessions had to be rescheduled for technical problems but all test persons could complete the think aloud study in 30 minutes at their usual working environment. This offers the opportunity to software providers to develop medical software with better usability in close cooperation with future users.

Patient preferences for teleradiology services and remote image interpretation: An empirical study.

This study aims to examine patient preferences for teleradiology services and remote image interpretation. In this context, this study aims to address the following research questions: (i) How do patients perceive teleradiology services, focusing specifically on comfort, quality of care and satisfaction, communication and information, and accessibility and ease of use; (ii) How do patient demographics (age, gender, urban vs. rural residence) influence the perceptions on teleradiology services? A cross-sectional survey design is adopted in this study. The survey comprises five sections targeting demographic information, comfort, and preferences regarding remote image interpretation, perceived quality of care and satisfaction, communication and information clarity, and accessibility and technology aspects using five-point Likert scale ratings. A total of 406 patients (209 males and 197 females; 170 urban residents; 174 semi-urban residents, and 62 rural residents) using teleradiology services participated in the study. Participants reported high satisfaction with remote image interpretation (3.78 ± 1.19), quality of care (3.31 ± 1.19), understanding (3.84 ± 1.43), and user-friendliness (3.67 ± 1.29). Key issues were technical problems (3.81 ± 1.35), feedback difficulties (3.19 ± 1.58), privacy concerns (2.43 ± 1.46), and low awareness (2.37 ± 1.12). Urban participants scored significantly better in comfort, preferences, and communication than those from semi-urban and rural areas. Teleradiology design and implementation should be optimized to align with patient preferences and enhance overall satisfaction.

A Survey of Multi-Agent Systems for Smartgrids

This paper provides a survey of the literature on the application of Multi-agent Systems (MAS) technology for Smartgrids. Smartgrids represent the next generation electric network, as communities are developing self-sufficient and environmentally friendly energy production. As a cyber-physical system, the development of the vision of Smartgrids requires the resolution of major technical problems; this has fed over a decade of research. Due to the stochastic, intermittent nature of renewable energy resources and the heterogeneity of the agents involved in a Smartgrid, demand and supply management, energy trade and control of grid elements constitute great challenges for stable operation. In addition, in order to offer resilience against faults and attacks, Smartgrids should also have restoration, self-recovery and security capabilities. Multi-agent systems (MAS) technology has been a popular approach to deal with these challenges in Smartgrids, due to their ability to support reasoning in a distributed context. This survey reviews the literature concerning the use of MAS models in each of the relevant research areas related to Smartgrids. The survey explores how researchers have utilized agent-based tools and methods to solve the main problems of Smartgrids. The survey also discusses the challenges in the advancement of Smartgrid technology and identifies the open problems for research from the view of multi-agent systems.

Preconditioned flow as a solution to the hierarchical growth problem in the generalized Lefschetz thimble method

The generalized Lefschetz thimble method is a promising approach that attempts to solve the sign problem in Monte Carlo methods by deforming the integration contour using the flow equation. Here we point out a general problem that occurs due to the property of the flow equation, which extends a region on the original contour exponentially to a region on the deformed contour. Since the growth rate for each eigenmode is governed by the singular values of the Hessian of the action, a huge hierarchy in the singular value spectrum, which typically appears for large systems, leads to various technical problems in numerical simulations. We solve this hierarchical growth problem by preconditioning the flow so that the growth rate becomes identical for every eigenmode. As an example, we show that the preconditioned flow enables us to investigate the real-time quantum evolution of an anharmonic oscillator with the system size that can hardly be achieved by using the original flow.

Non-pillar mining of upper coal seam layers with double-roadway driving using a flexible-formwork pre-cast partition wall

Abstract When mining layered coal seams, three-soft coal seams, high-gas coal seams, or hard-roof coal seams with the application of gob-side entry retention technology, various practical problems that seriously threaten construction safety arise, such as roadway deformation, shear failure of the roadway supporting body, and air leakage in the goaf. To effectively address these issues, in this work, a novel, pillar-free, coal mining technique based on a flexible-formwork pre-cast partition wall was proposed and applied to a case study: working face 2301 (upper) at Yuecheng Coal Mine, China. The principles of the technique and the characteristics of the movement in the surrounding rock were comprehensively examined. Through theoretical analysis and numerical simulation, the support parameters of the roadway and flexible-formwork pre-cast partition wall were determined and applied in the case study. From our analysis, it was demonstrated that the parameters of the flexible-formwork pre-cast partition wall and roadway support are reasonably designed, achieving effective roadway retention. Combined with a top cutting and pressure relief process, the roadway deformation can be eventually stabilised with the mining of the working face and does not affect the subsequent use of the roadway. From the acquired data, a good agreement between the field real-time measurements and the numerical simulation software measurements was found, which is helpful for the analysis of technological perspectives of the proposed framework. The introduced technology can effectively solve the technical problems existing in the traditional gob-side entry retention. It can not only realize non-pillar mining, but also double-roadway driving without coal pillars in 2301 working face can be achieved, which significantly improves the technical and economic index of the mine.