Main Function Research Articles

Bending the Rules: Amplifying PD-L1 Immunoregulatory Function Through Flexible Polyethylene Glycol Synthetic Linkers.

Immune checkpoint signaling, such as programmed cell death protein-1 (PD-1), is a key target for immunotherapy due to its role in dampening immune responses. PD-1 signaling in T cells is regulated by complex physicochemical and mechanical cues. However, how these mechanical forces are integrated with biochemical responses remains poorly understood. Our previous work demonstrated that the use of an immobilizing polyethylene glycol (PEG) linker on synthetic microgels for the presentation of a chimeric form of PD-L1, SA-PD-L1, lead to local regulatory responses capable of abrogating allograft rejection in a model of cell-based transplantation. We herein provide evidence that enhanced immune regulating function can be obtained when presentation of SA-PD-L1 is achieved through a longer more flexible PEG chain. Presentation of SA-PD-L1 through a linker of high molecular weight, and thus longer length (10 kDa, 60 nm in length), led to enhance conversion of naive T cells into T regulatory cells (Tregs) in vitro. In addition, using a subcutaneous implant model and protein tethered through three different linker sizes (6, 30, and 60 nm) to the surface of PEG hydrogels, we demonstrated that longer linkers promoted PD-1 immunomodulatory role in vivo through three main functions: (1) augmenting immune cell recruitment at the transplant site; (2) promoting the accumulation of naive Tregs expressing migratory markers; and (3) dampening CD8+ cytolytic molecule production while augmenting expression of exhaustion phenotypes locally. Notably, accumulation of Treg cells at the implant site persisted for over 30 days postimplantation, an effect not observed when protein was presented with the shorter version of the linkers (6 and 30 nm). Collectively, these studies reveal a facile approach by which PD-L1 function can be modulated through external tuning of synthetic presenting linkers. Impact statement Recently, there has been a growing interest in immune checkpoint molecules as potential targets for tolerance induction, including programmed cell death protein-1 (PD-1). However, how the mechanics of ligand binding to PD-1 receptor affect downstream activation signaling pathways remains unresolved. By taking advantage of the effect of polyethylene glycol chain length on molecule kinetics in an aqueous solution, we herein show that PD-L1 function can be amplified by adjusting the length of the grafting linker. Our results uncover a potential facile mechanism that can be exploited to advance the role of immune checkpoint ligands, in particular PD-L1, in tolerance induction for immunosuppression-free cell-based therapies.

Design analysis of intelligent controller to minimize harmonic distortion and power loss of wind energy conversion system (grid connected)

<p>The controlling of internal parametric variations in addition to the non-linearity of a large conversion system of wind energy (WECS) is prime challenges to make the most of the generated energy, with less power loss and secure the proficiency (η) integration conventional grid. An adjustable speed control structure of grid-connected conversion system of wind energy (WECS), with the help of a Permanent Magnet Type Synchronous Generator with intelligent controller minimizes the power loss. The control system incorporates a pair of controllers dedicated to the converters of both the generator and grid edge. The controller at the generator side has the main function is to optimize power that can be withdrawal from the wind by intelligently regulating the turbine’s rotational speed. Meanwhile, the grid edge converter effectively manages active and reactive power by manipulating the d & q-axis current components, respectively. This paper discusses about the improvement in performance of the system when using Neuro-Fuzzy system as compared to Neural Network and Management of energy deliver system via direct control method. The findings reveal that the training time for Artificial Neural Networks (ANNs) is substantial, leading to the Neural Network-Direct Power Contol (NN-DPC) approach being the slowest option among the alternatives. Additionally, the NF-DPC system is less time-consuming than the NN-DPC, with a recorded duration of 24 seconds compared to the NN-DPC’s observation of 8 min and 5 s. However, it is worth noting that the NF-DPC system is somewhat more time-intensive than Common-Direct Power Contol (C-DPC).</p>

Rock anchor hanger effect on single-tower earth-anchored suspension bridge mechanical performance: An analytical model and multi-objective golden eagle optimization

The application of a composite saddle in single-tower earth-anchored suspension bridges (STEASBs) replaces the tower on the steep slope side, which is a cost-effective solution that improves bridge safety and provides environmental protection for the steep bank slope of the valley. However, this novel bridge design needs an appropriate model to evaluate the effect of rock anchor hangers on the structure in the non-girder area and adjust their parameters to optimize the mechanical response of the whole bridge structure. This study proposes an approach to quickly evaluate the most unfavorable load cases of the STEASB and further optimizes the structural parameters of rock anchor hangers to enhance structural safety. An analytical model for the STEASBs under the live load is proposed and verified by the finite element model (FEM), with the maximum relative error not exceeding 7.37%. Combined with the golden eagle optimizer (GEO), the most unfavorable load cases of the corresponding design indices are yielded. The Pareto optimal solutions for the spacing, cross-sectional area, and initial tension of the vertical rock anchor hangers are obtained through multi-objective optimization to improve the mechanical behavior of STEASBs. In addition, it is clarified that the main function of rock anchor hangers is to reduce the peak value of the stress amplitude of the hangers and girder-end rotation, providing a theoretical basis for the STEASB design.

The role of innovative educational technologies in the training of specialists in the field of culture and arts: European experience

The purpose of the article is to determine the role of innovative educational technologies in the training of specialists in the field of culture and arts based on the study of the European experience. To achieve this goal, the methods of analysis, synthesis, deduction, induction, specification, and comparison were used. The results consider the theoretical foundations of the use of innovative technologies in modern education. In the realm of culture and arts, it holds a pivotal role in training specialists. By drawing insights from the European experience, it becomes evident that cutting-edge learning approaches are founded on embracing novel ideas and a continual reevaluation of values. Also, it is crucial to consider its broad accessibility and ongoing nature. It is shown that education in European art universities and academies actively employs collective, modular, integrative, and developmental methods. In the modern practice of art education, the application of new and effective methods is of utmost importance to foster the creative and personal growth of aspiring professionals in the cultural and artistic fields. Among these methods, particular attention is given to students' project activities, which synergize successfully with digital technologies and distance learning. The novelty of the work is the author's own structure of innovative education. The conclusions determine that the main function of modern education is human development, so students in modern circumstances should focus on the possibilities of self-learning and the use of digital technologies (current trends in the field of culture and arts).

The investigation and application of Muti-Armed algorithms in recommendation systems

In the contemporary Internet recommendation systems in various fields, muti-armed algorithms will show high accuracy and practicability. Internet users can always get abundant positive feedback through the recommendation system via utilizing these algorithms. In this paper, there are three most typical muti-armed algorithms as examples are provided. Explore-Then-Commit (ETC) algorithm is the first to mentioned. The physical meaning of this algorithm is that in the exploration stage, the action will be selected in a certain order, and after a certain number of rounds, the action with the largest average reward will be directly selected. Moreover, Upper Confidence Bond (UCB) algorithm is also a type of pivotal tool. The main function of UCB algorithm is to make the selection by calculating the upper bound of each arm confidence interval instead of the expected reward of the slot machine. Thus, it is an optimistic algorithm. First, select each arm in random order, then calculate the value of the upper bound of each arm confidence interval, and finally, select the arm with the largest value. The last mentioned Thompson Sampling (TS) Algorithm take Bayesian optimization as the theoretical basis. This algorithm takes out the candidate parameters, generates a random number, and selects the maximum value for input. This paper also introduced two fields related to the topic of the application of muti-armed algorithms in the recommendation systems in modern fields. News recommendation algorithms and personalized recommendation systems can be more comprehensive and representative to illustrate the practicality of these algorithms. Therefore, muti-armed algorithms reflect the importance in the recommendation fields via the balance of exploration and exploitation.

Antioxidant treatment for oligoasthenoteratozoospermia and varicocele: a DBPC trial to evaluate the impact of age and body mass index.

Oxidative stress is one of the main mechanisms responsible for male infertility. Various conditions such as varicocele, obesity, advanced age, and lifestyle can lead to an increase in reactive oxygen species, causing an oxidative imbalance in the reproductive environment. Spermatozoa are sensitive to reactive oxygen species and require energy to carry out their main function of fertilizing the egg. Excessive reactive oxygen species can affect sperm metabolism, leading to immobility, impaired acrosome reaction, and cell death, thereby impairing reproductive success. This double-blind randomized study evaluated the effect of supplementation with L-carnitine, acetyl-L-carnitine, vitamins, and other nutrients on semen quality in 104 infertile patients with or without varicocele, while also investigating the impact of factors such as obesity and advanced age on treatment. Sperm concentration significantly increased in the supplemented group compared to the placebo group ( P = 0.0186). Total sperm count also significantly increased in the supplemented group ( P = 0.0117), as did sperm motility ( P = 0.0120). The treatment had a positive effect on patients up to 35 years of age in terms of sperm concentration ( P = 0.0352), while a body mass index (BMI) above 25 kg m -2 had a negative effect on sperm concentration ( P = 0.0110). Results were not showing a net benefit in stratifying patients in accordance with their BMI since sperm quality increase was not affected by this parameter. In conclusion, antioxidant supplementation may be beneficial for infertile patients and has a more positive effect on younger patients with a normal weight.

Skill optimization algorithm for solving optimal power flow problem

This research presents the implementation of a modern meta-heuristic algorithm called the skill optimization algorithm (SOA) to solve the optimal power flow problem (OPF). An IEEE 30-bus transmission system is selected to test the real performance of SOA. The main objective function of the study is to minimize the total fuel cost (TFC) of all thermal units. To clarify the high performance of SOA, a classical meta-heuristic named particle swarm optimization (PSO) is also applied for comparison. All results reached by SOA are compared with those of PSO on different criteria. Particularly, SOA has reached smaller cost than PSO by $1.04, equivalent to 0.13% of PSO’s TFC. Furthermore, SOA has reached a more stable performance by finding better average and maximum TFC over fifty runs. The evaluation of these criteria indicates that SOA completely outperforms PSO. Besides, the optimal solution reached by SOA satisfies all considered constraints with zero violation of the dependent variables. Therefore, SOA is highly suggested to handle the OPF problem.

SpatialDDLS: an R package to deconvolute spatial transcriptomics data using neural networks.

Spatial transcriptomics has changed our way to study tissue structure and cellular organization. However, there are still limitations in its resolution, and most available platforms do not reach a single cell resolution. To address this issue, we introduce SpatialDDLS, a fast neural network-based algorithm for cell type deconvolution of spatial transcriptomics data. SpatialDDLS leverages single-cell RNA sequencing data to simulate mixed transcriptional profiles with predefined cellular composition, which are subsequently used to train a fully connected neural network to uncover cell type diversity within each spot. By comparing it with two state-of-the-art spatial deconvolution methods, we demonstrate that SpatialDDLS is an accurate and fast alternative to the available state-of-the art tools. The R package SpatialDDLS is available via CRAN-The Comprehensive R Archive Network: https://CRAN.R-project.org/package=SpatialDDLS. A detailed manual of the main functionalities implemented in the package can be found at https://diegommcc.github.io/SpatialDDLS.

Особенности и факторы функционирования семьи с ребенком-инвалидом: социологический анализ

The relevance of the topic is primarily due to the fact that the number of children with disabilities in Russia con-tinues to be quite high, at the same time, insufficient research attention is paid to the functioning of a family with a disabled child. The main results of our work are related to the analysis of the structure of a family with a disabled child, the specifics of its functioning, the existing dysfunctions and their causes, dynamics, characteris-tics and the most important needs of the family, the possibilities of their satisfaction and family support. It is revealed that the analyzed type of families usually relies on their own resources in the functioning and rehabili-tation of the child; incompleteness of the family structure is common. As the child grows up, there is a change in the needs of the family: from medical assistance to domestic assistance. There is an increasing need for assistance in the implementation of such a family of its main functions – reproductive, socialization, economic, caring for family members, etc. To create conditions to support the functioning of a family with a disabled child, it is proposed to develop the digitalization of individual services and the institution of social supervision of the family. The novelty of the study also consists in appealing not so much to the opinions of experts as to the anal-ysis of the experience, judgments, expectations and recommendations of the parents themselves.

Model Praktik Baik Kepala Sekolah dalam Pengembangan Kemampuan Dasar Guru pada Satuan Pendidikan Sekolah Dasar

<p align="center"><em> </em></p><p><em>In carrying out their main duties and functions, school principals still receive critical issues from various circles in the educational ecosystem because they have yet to fully contribute optimally to increasing teacher professionalism. The literature review research aims to identify and analyze several models of good practice implemented by school principals in developing the basic abilities of teachers in elementary school education units. The research findings state that the school principal's good practice model consists of two activities/actions: the Principal as a learning leader and the Principal acting as the creator of the learning environment. The key role of the Principal as a learning leader consists of a servant, role model, expert and instructional leader. Meanwhile, the Principal as the creator of the learning environment is related to his role as a communicator, supporter and manager. These good practices can create a professional, vital teacher profile and construction consisting of passion, vigour, facility, and satisfaction to achieve more productive and competitive learning goals in the educational unit.</em></p><p><em> </em></p><p><strong><em>Keywords</em></strong><em>: good practice; </em><em>principal’s</em><em>; basic teacher abilities</em></p>

Role function and job satisfaction of community nurses in China: A cross-sectional study.

To evaluate role function and job satisfaction, determine their relationship, and explore the factors influencing job satisfaction among community nurses in China. Cross-sectional study. This study was conducted between March and June 2020 on a cluster random sampling of 302 community nurses from 24 community health centres and stations in Xi'an, China. Self-reported data were collected using the Demographics Questionnaire, Role Function of Community Nurses Questionnaire, and Job Satisfaction of Community Nurses Scale. Descriptive statistics, Pearson's correlation analysis, and multiple linear regression analyses were performed to analyse data. Community nurses' main role function was organiser and manager (M = 2.56, SD = 0.987) and coordinator (M = 2.43, SD = 0.971). The lowest job satisfaction was for salary and benefits (M = 3.12, SD = 0.891) and personal development (M = 3.65, SD = 0.738). A positive correlation was found between the roles of caregiver, educator, navigator, and salary and benefits (p < 0.05) among community nurses. Multiple linear regression analyses indicated that monthly income and working experience in nursing explained 61.1% of the variance in job satisfaction.

ESPEN practical short micronutrient guideline

BackgroundTrace elements and vitamins, named together micronutrients (MNs), are essential for human metabolism. The importance of MNs in common pathologies is recognized by recent research, with deficiencies significantly impacting the outcome. ObjectiveThis short version of the guideline aims to provide practical recommendations for clinical practice. MethodsAn extensive search of the literature was conducted in the databases Medline, PubMed, Cochrane, Google Scholar, and CINAHL for the initial guideline. The search focused on physiological data, historical evidence (for papers published before PubMed release in 1996), and observational and/or randomized trials. For each MN, the main functions, optimal analytical methods, impact of inflammation, potential toxicity, and provision during enteral or parenteral nutrition were addressed. The SOP wording was applied for strength of recommendations. ResultsThe limited number of interventional trials prevented meta-analysis and led to a low level of evidence for most recommendations. The recommendations underwent a consensus process, which resulted in a percentage of agreement (%): strong consensus required of >90% of votes. Altogether the guideline proposes 3 general recommendations and specific recommendations for the 26 MNs. Monitoring and management strategies are proposed. ConclusionThis short version of the MN guideline should facilitate handling of the MNs in at-risk diseases, whilst offering practical advice on MN provision and monitoring during nutritional support.

Centers of responsibility for the formation of effective activities of enterprises of the grain product complex

Introduction. To ensure the efficiency of enterprises, it is important to form responsibility centers. They will be responsible for the performance of enterprises. These processes are intensified under the influence of the war in Ukraine and due to the negative consequences of the Covid-19 pandemic. Global changes that have occurred in the external environment require a revision of approaches to the formation of efficiency of enterprises in general, as well as their structural divisions. The purpose of the paper is to research the centers of responsibility in the enterprise management system of the grain production complex. Results. The authors defend the thesis that responsibility centers solve the tasks of coordinating, distributing responsibilities and stimulating all units to achieve the strategic goals of the enterprise. It is necessary to consider the centers of responsibility as structural divisions of the enterprise, since the transformation of the organizational system of the enterprise is constant. That is, the allocation of responsibility centers occurs within a specially created structure that does not coincide with the organizational structure of the enterprise. The authors will give on a concrete example the performance indicators of the enterprise of the grain production complex for Volyn-Zerno-Product LLC. On this basis, conclusions are drawn about positive or negative trends that affect the efficiency of enterprises. In particular, positive changes are the growth of current and non-current assets, receivables, and negative ones are the increase in production costs, payables, a decrease in cash, a slowdown in asset turnover, low liquidity indicators, and financial stability. To overcome negative trends, it is necessary to develop measures to improve performance. One of the areas of increasing the effectiveness of Volyn-Grain-Product LLC is the formation of responsibility centers: costs, revenues, profits, investments. Conclusion. The use of responsibility centers will distinguish between the main functions, powers, rights and responsibilities through which the activities of enterprises of the grain production complex are carried out. Departments or business processes in this situation are independent units of the process, and managers are responsible for the implementation of planned indicators.

Improving Human Resource Performance Through Discipline and Work Environment and Motivation as a Moderating Variable (Case Study of Gojek Drivers in Bandar Lampung)

Gojek is a business entity that operates in the motorcycle taxi transportation service sector, whose main function is to connect passengers with motorcycle taxis. Gojek is often used by residents of metropolises, and one of them is the city of Bandar Lampung. This research was carried out in order to find out the influence of discipline, work environment, and motivation on performance, as well as motivation on the work environment and performance of Gojek drivers in Bandar Lampung. This study uses quantitative methods, using a sample of 101, namely all Gojek drivers in Bandar Lampung. Then the study method uses PLS (partial least squares) statistical software with the inner weight equation. The results of this analysis are that discipline and the work environment do not influence performance, then motivation influences performance, and motivation also influences the work environment and performance. For drivers, it is best to improve performance based on more significant aspects such as managing time more effectively, and for future researchers, the importance of using broad variables is very significant to determine results that can be improved on discipline variables, work environment to improve the performance of Gojek drivers in Bandar Lampung, and skills in designing questionnaires are crucial to achieve maximum results. Keywords: performance, motivation, discipline, work environment

How understanding large language models can inform the use of ChatGPT in physics education

The paper aims to fulfil three main functions: (1) to serve as an introduction for the physics education community to the functioning of large language models (LLMs), (2) to present a series of illustrative examples demonstrating how prompt-engineering techniques can impact LLMs performance on conceptual physics tasks and (3) to discuss potential implications of the understanding of LLMs and prompt engineering for physics teaching and learning. We first summarise existing research on the performance of a popular LLM-based chatbot (ChatGPT) on physics tasks. We then give a basic account of how LLMs work, illustrate essential features of their functioning, and discuss their strengths and limitations. Equipped with this knowledge, we discuss some challenges with generating useful output with ChatGPT-4 in the context of introductory physics, paying special attention to conceptual questions and problems. We then provide a condensed overview of relevant literature on prompt engineering and demonstrate through illustrative examples how selected prompt-engineering techniques can be employed to improve ChatGPT-4’s output on conceptual introductory physics problems. Qualitatively studying these examples provides additional insights into ChatGPT’s functioning and its utility in physics problem-solving. Finally, we consider how insights from the paper can inform the use of LLMs in the teaching and learning of physics.

THERAPEUTIC PHYSICAL EDUCATION IN INSTITUTIONS OF HIGHER EDUCATION IN UKRAINE

Human health is defined as one of the most important social factors, which indicates general health, favorable environmental conditions, and the effectiveness of the education system. A person's health is closely related to his profession, physical activity, nutrition, habits, nature of rest, psycho-emotional state. Physical training cannot compensate for the effects of bad habits and improper nutrition. A person does not die from a certain disease, but from a lifestyle. Nature and society are not to blame for the occurrence of most diseases, but man himself - his laziness, greed, and ignorance. In order to become healthy, you need your own efforts, which cannot be replaced by anything. Therapeutic physical education (TPE) helps students with a low level of health to adapt to study conditions, as well as to fully restore body functions, or correct health disorders taking into account the physical condition of students. The implementation of forms of exercise training for students in the practice of physical education will increase the level of motor activity, improve the state of health and, as a result, contribute to better training of future specialists. The peculiarity of the method of therapeutic physical culture is that it not only improves and strengthens the body, but also has an educational value. The basis of exercise therapy is the wide use of the main biological function of the body - movement.

Integrative HLA typing of tumor and adjacent normal tissue can reveal insights into the tumor immune response

BackgroundThe HLA complex is the most polymorphic region of the human genome, and its improved characterization can help us understand the genetics of human disease as well as the interplay between cancer and the immune system. The main function of HLA genes is to recognize “non-self” antigens and to present them on the cell surface to T cells, which instigate an immune response toward infected or transformed cells. While sequence variation in the antigen-binding groove of HLA may modulate the repertoire of immunogenic antigens presented to T cells, alterations in HLA expression can significantly influence the immune response to pathogens and cancer.MethodsRNA sequencing was used here to accurately genotype the HLA region and quantify and compare the level of allele-specific HLA expression in tumors and patient-matched adjacent normal tissue. The computational approach utilized in the study types classical and non-classical Class I and Class II HLA alleles from RNA-seq while simultaneously quantifying allele-specific or personalized HLA expression. The strategy also uses RNA-seq data to infer immune cell infiltration into tumors and the corresponding immune cell composition of matched normal tissue, to reveal potential insights related to T cell and NK cell interactions with tumor HLA alleles.ResultsThe genotyping method outperforms existing RNA-seq-based HLA typing tools for Class II HLA genotyping. Further, we demonstrate its potential for studying tumor-immune interactions by applying the method to tumor samples from two different subtypes of breast cancer and their matched normal breast tissue controls.ConclusionsThe integrative RNA-seq-based HLA typing approach described in the study, coupled with HLA expression analysis, neoantigen prediction and immune cell infiltration, may help increase our understanding of the interplay between a patient’s tumor and immune system; and provide further insights into the immune mechanisms that determine a positive or negative outcome following treatment with immunotherapy such as checkpoint blockade.

Структурно-прагматические особенности постера кинофильма (на материале французского кинодискурса)

The aim of the study is to analyze the structural, functional and semiotic components of the film poster, which influence the potential viewer and contribute to the successful adoption of the film in the French-speaking socio-cultural space. The article analyzes the film poster as a functional and pragmatic element of the film text directly affecting the recipient (a representative of the film target audience) and their choice of a specific film production for viewing. The semiotic and structural components of the poster, as well as its main tasks, functions and characteristics are highlighted and considered. The scientific novelty of the study lies in the fact that for the first time, the key characteristics of the film poster and its pragmatic potential have been identified and analyzed using the material of the French cinema discourse. As a result of the study, it was found that the interaction between the graphic and iconic components of the semiotic space of the film poster has a complex effect on a potential viewer (a representative of the film target audience) and helps to attract as many viewers as possible to watching the film. At the same time, the film poster is an independent functional and pragmatic element of the film text functioning at the preview stage and participating in the advertising of the film, as well as having its own characteristics, performing certain functions and implementing certain tasks.

A Narrative Review of Current Knowledge on Cutaneous Melanoma.

Cutaneous melanoma is a public health problem. Efforts to reduce its incidence have failed, as it continues to increase. In recent years, many risk factors have been identified. Numerous diagnostic systems exist that greatly assist in early clinical diagnosis. The histopathological aspect illustrates the grim nature of these cancers. Currently, pathogenic pathways and the tumor microclimate are key to the development of therapeutic methods. Revolutionary therapies like targeted therapy and immune checkpoint inhibitors are starting to replace traditional therapeutic methods. Targeted therapy aims at a specific molecule in the pathogenic chain to block it, stopping cell growth and dissemination. The main function of immune checkpoint inhibitors is to boost cellular immunity in order to combat cancer cells. Unfortunately, these therapies have different rates of effectiveness and side effects, and cannot be applied to all patients. These shortcomings are the basis of increased incidence and mortality rates. This study covers all stages of the evolutionary sequence of melanoma. With all these data in front of us, we see the need for new research efforts directed at therapies that will bring greater benefits in terms of patient survival and prognosis, with fewer adverse effects.

Limitation the use of Laptops when Online Learning Reduce the Eye Fatique of Private Junior High School Students in Denpasar

The emergence of eye fatique in junior high school students during the online learning process is caused by the length of time the eyes stare at the laptop for a long time. In addition, the presence of more sophisticated learning media, the position of the laptop is very important and has a main function in supporting the online learning process. From a preliminary study conducted on 10 students from a private junior high school in Denpasar, it was found that 50% of students experienced complaints of dizziness, 50% glare and 20% sore eyes. With the above background, a study with the same subject design was conducted involving 25 students with an age range of 13-14 years. The study was conducted for 3 consecutive days, namely on Tuesday, Wednesday and Thursday by measuring eye fatigue using an eye fatigue questionnaire. The data were analyzed using the t-paired test at a significance level of p = 0.005. After using the laptop was limited according to the radiation exposure time from the appropriate laptop, the eye sight distance to the monitor screen was set 50-100 cm and interspersed with pauses or rest periods then the average eye fatigue in students before the improvement of 22.54 can be reduced to 5.25 or about 71%. Conclusion: From the research, it was concluded that limiting the duration of using laptops during online learning can reduce students' eye fatigue