온실 내부 환경은 지역에 따라 외부 환경의 영향을 지속적으로 받는다. 본 연구는 몽골, UAE(아부다비), 호 주(퀸슬란드) 등 지역별로 구축된 한국형 스마트 온실의 환경 특성을 비교하고자 수행하였다. 몽골과 아부다비의 온실 모두 내외부 엔탈피 차이가 감소함에 따라 환기율이 증가하였다. 아부다비의 반밀폐형 온실에서는 10시부터 14시까지 평균 내부 기온이 외부 기온보다 약 7－10°C 낮았고 내부 VPD(12mbar)는 외부 VPD(56mbar)보다 4.6 배 낮았는데 이 결과는 포그 시스템 운영과 관련이 있는 것으로 보인다. 퀸즐랜드 온실의 경우, 내부 온도가 외부 온 도보다 11시 기준 약 3.81°C 높았고, 내부 엔탈피와 VPD가 외부 온도보다 높았으며, 내부와 외부의 엔탈피 차이가 증가함에 따라 환기율이 증가하였다. 이 결과로 엔탈피를 낮추는 것은 환기와, VPD를 낮추는 것은 포그 시스템 작 동과 관련이 있는 것을 알 수 있다. 또한, 작물 생육에 적합한 환경 조건을 효과적으로 관리하기 위해 엔탈피와 VPD 기반의 포그, 환기 또는 난방 시스템이 필요하다는 것을 알 수 있다.

This study is a continuation of previous research (Bae & Kim, 2024) that identified ways to improve the fit of commercially available domestic and international leotards for women in their 30–40s through a survey and evaluation of wearing conditions. The previous study revealed that women in this age group struggle to find well-fitting leotards, despite knowing their body measurements. This issue arises because most apparel industries produce garments for women in their 20s, and grading differences do not sufficiently address the increases in bust, waist, and abdominal girth typical of women in their 30s and 40s. Therefore, this study developed leotard patterns that improve fit and comfort based on the physical characteristics of women in their 30s and 40s. Body surface data of the participants were collected using 3D body scanning technology, forming the basis for pattern design. Experimental garments were created to evaluate compression and determine the suitable pattern reduction rate based on material elasticity. Thus, a pattern reduction rate that offers suitable wearing comfort was proposed. Leotard patterns were developed from experimental results in the most popular styles: camisole and sleeved types. The final leotard patterns were presented after synthesizing results from wearers’ evaluations, compression assessments, and expert appearance evaluations. The final leotards were deemed appropriate for women in their 30s and 40s, demonstrating improvements in comfort, movement stability, compression, and appearance.

This paper introduces a simple and reliable photometric calibration method to extract Hα line flux from narrowband images. The equivalent width of the Hα line (EWHα) is derived using two- and simplified three-filter methods. Synthetic photometry of CALSPEC stars demonstrates the dependency of EWHα on the V − R color, described by a skewed Gaussian function within −0.1 < V − R < 0.7. Systematic errors of the two- and three-filter methods are analyzed under 0%–10% R-band flux contamination. Although the three-filter method underestimates EWHα by 10%, it exhibits less scatter compared to the two-filter method. The simplified three-filter method was validated with the Landolt SA 107 field and surpasses the two-filter method in terms of precision and accuracy. Additionally, applying our method to V960 Mon yields EWHα consistent with high-resolution spectroscopic results.

국내 수박(Citrullus lanatus) 품종의 발아율에 대한 Solid Matrix Priming(SMP)의 영향을 평가하였다. Micro cel-E가 SMP 처리에 가장 이상적인 matrix로 밝혀졌으며, 종자:matix:물의 비율은 10:5:10(w/w/w)로, 25°C 에서 3일 동안 처리했을 때 유근의 돌출없이 발아속도가 촉진되었다. SMP 처리 과정 동안 초기 4시간 동안의 수분 흡수율은 급격하게 증가했으며, 이후 72시간 동안은 더 느린 속도로 흡수되었고, 처리 마지막 시간까지 수분 흡수 율은 41%이었다. 발아 온도와 상관없이, SMP 처리된 종자는 발아 시간이 단축되면서 발아율이 향상되었다. 특히, 최적 발아 온도보다 낮은 온도에서 발아율이 높았다. 품종별 차이는 있었으나, 특히 ‘해찬꿀’과 ‘리코스위트’ 품종 에서 발아율이 유의미하게 증가하였다. 또한 일부 품종에서 SMP 처리 종자의 유묘출현율과 초장, 생체중이 무처 리에 비하여 증가한 값을 보였으며, SMP 처리로 종자의 발아속도 및 유묘활력을 증진시켜 우량 묘 확보가 가능한 것으로 판단되었다.

This study aims to examine how the marketing characteristics of Wanghong (Chinese internet influencers) influence Chinese consumer attitudes and purchase intentions toward fashion products. Specifically, it investigates how the factors of expertise, trustworthiness, and attractiveness play a critical role in shaping consumer behavior in the digital marketing landscape. The study employed a survey-based quantitative approach, collecting data from 272 Chinese consumers engaging regularly with Wanghong marketing content. A structured questionnaire using a 5-point Likert scale was developed, incorporating validated measurement items from previous studies. The collected data were then analyzed using exploratory factor analysis, correlation analysis, and multiple regression analysis. The findings indicate that while expertise negatively influences consumer attitudes, trustworthiness and attractiveness have a positive impact. Furthermore, trustworthiness and attractiveness were found to significantly enhance purchase intention, while expertise was found to have no significant effect. Additionally, the findings showed that consumer attitudes toward Wanghong-mediated marketing play a mediating role in the relationship between Wanghong characteristics and purchase intention, with the results suggesting that consumers perceive highly knowledgeable Wanghong as distant or overly commercial, reducing their willingness to engage. In contrast, Wanghong who exhibit trustworthiness and personal appeal are more effective in driving consumer interest and purchases. These findings provide valuable insights for fashion brands aiming to optimize influencer marketing strategies in China, emphasizing the importance of relationship-driven and authenticity-focused marketing.

Women in their 50s undergo significant changes to their bodies, including weight gain and rapid increases in body mass index (BMI) due to menopause. This study aimed to develop a basic bodice pattern suitable for women with a “square” body type, which is the most common type among Korean women in their 50s. We used a body shape avatar representative of square-body-type women in their 50s, provided by 6th Size Korea (KATS, 2010) as the model. This avatar was loaded into a virtual fitting program to evaluate the fit of the research pattern. The results of the study were as follows. Using the 3D virtual fitting program, the ideal bodice pattern was found to be close-fitting, based on an analysis of the body surface of women in their 50s with a square body type. This population’s characteristic body features included a rounded back, forward-protruding waist, forward-tilted neck, and shoulder tips angled toward the center-front. Because of the protruding abdomen, the bodice’s waist dart value was lower than average. The base bodice design for this body type was adapted from the research pattern of Jun and Jang (2024). Adjustments for this study included adding 0.5 cm to the center-back length and designing the profile line from the back neckline to the armpit wall. Further, the front bodice waist dart was omitted to accommodate the protruding abdomen. After two rounds of revisions, evaluations of the virtual fitting significantly improved, with scores increasing from 2.38 out of 5 to 4.82 out of 5.

The demand for secondary batteries is increasing rapidly with the popularization of electric vehicles and the expansion of wireless electronic devices. However, the most widely used lithium-ion batteries are subject to frequent fire incidents, limiting market growth. To avoid flammability, solid electrolyte-based systems are gaining attention for next-generation lithium-ion batteries. However, challenges such as limitations in ionic conductivity and high manufacturing costs require further research and development. In this study, we aim to identify a new nitrogen-based solid electrolyte material that has not yet been widely explored. We propose a methodology for selecting the final material through high-throughput screening (HTS), detailing the methods used for material selection and performance evaluation. In addition, we present ab initio molecular dynamics (AIMD) calculations and results for nitrogen-substituted materials with carbon and oxygen replacements, including Arrhenius plots, activation energy, and the predicted conductivity at 300K for the material with the highest Li-ion conductivity. While the performance does not yet surpass the ionic conductivity and activity of conventional solid-state electrolytes, our results provide a systematic framework for exploring and screening new solid electrolyte materials. This methodology can also be applied to the exploration of different battery materials and is expected to contribute significantly to the innovation of next-generation energy storage technologies.

Background/Aim: This study investigated the relationship between albumin-bilirubin (ALBI) grade and advanced liver fibrosis in patients with a history of gallstone disease and cholecystectomy, focusing on those diagnosed with metabolic dysfunctionassociated steatohepatitis (MASH) using the acMASH algorithm. Methods: Data from 566 subjects in the National Health and Nutrition Examination Survey 2017-2020 dataset were analyzed. MASH and advanced fibrosis (AF) were determined using acMASH and acFibroMASH algorithms, respectively. Liver stiffness measurement (LSM), ALBI grade, and other fibrosis indices were evaluated. Results: Of 566 subjects, 13 (2.3%) were diagnosed with MASH, and 65 (11.48%) had AF. MASH subjects showed significantly higher LSM values compared to non-MASH subjects (p=0.032). ALBI grade demonstrated weak positive correlations with LSM, FIB- 4, and acFibroMASH in non-MASH subjects. The AUROC for ALBI grade in identifying AF was 0.631 (95% CI 0.590-0.671). Multivariate analysis confirmed ALBI grade as an independent predictor of AF (odds ratio 0.193, 95% CI 0.1025-0.2837, p<0.001). Conclusions: ALBI grade shows potential as a non-invasive marker for advanced liver fibrosis in patients with a history of gallstone disease and cholecystectomy, particularly in those with MASH. Further studies with larger MASH cohorts are needed to validate these findings.

We introduce a new clustering algorithm, MulGuisin (MGS), that can identify distinct galaxy over-densities using topological information from the galaxy distribution. This algorithm was first introduced in an LHC experiment as a Jet Finder software, which looks for particles that clump together in close proximity. The algorithm preferentially considers particles with high energies and merges them only when they are closer than a certain distance to create a jet. MGS shares some similarities with the minimum spanning tree (MST) since it provides both clustering and network-based topology information. Also, similar to the density-based spatial clustering of applications with noise (DBSCAN), MGS uses the ranking or the local density of each particle to construct clustering. In this paper, we compare the performances of clustering algorithms using controlled data and some realistic simulation data as well as the SDSS observation data, and we demonstrate that our new algorithm finds networks most correctly and defines galaxy networks in a way that most closely resembles human vision.

간의 단순 낭종은 임상에서 흔히 보는 질환으로 대부분은 증상이 없고 영상검사에서 우연히 발견되고 있다. 이 중 약 5% 정도가 크기와 위치 또는 합병증의 발생으로 증상을 호소한다고 보고되고 있다. 증상을 유발하는 간낭종은 경피적 또는 내시경초음파 유도하에 경화술을 시행하거나 수술적 치료를 하여 없애거나 크기를 줄여 증상을 호전시킬 수 있다. 낭종내의 액체만 배액하는 치료는 높은 재발률이 문제가 되어서 경화술을 병행하는데 경화제로는 에탄올, tetracycline, polidocanol 등이 사용되고 있다. 이러한 비수술적 경화술은 증상을 완화시키고 낭종의 크기를 효과적으로 줄이며 안전성이 입증되고 있다. 본 종설에서는 간낭종에 대한 2가지 새로운 접근법을 주장하고자 하는데 첫째는 간낭종이 커져서 증상이 나타나기 전에 조기에 치료하자는 것이다. 크기가 증가하고 있는 간낭종을 조기에 치료하지 않고 추적관찰만 하게 되면 증상을 유발하고 또한 합병증도 병발할 가능성이 있으며 또한 치료가 침습적인 수술적 절제가 될 가능성이 높기 때문이다. 둘째는 간낭종의 주치료 방법은 수술적 치료가 아닌 경피적 또는 내시경초음파를 이용한 비수술적 치료가 되어야 한다는 점이다. 최근에 비수술적 치료의 효과와 안전성이 대한 연구가 지속적으로 발표되고 있기 때문이다. 이러한 접근 방식의 변화로 간낭종을 더 안전하고 효과적으로 관리하고 치료할 수 있다고 생각된다.

배추는 한국에서 연중 소비되는 김치의 주 원료이며, 노지에서 주로 재배되고 있다. 온실 재배 수경재배 시 스템은 기후 변화에 영향을 받지 않고 토양을 대신한 배지를 사용함으로써 토양 병원균으로부터 작물을 보호할 수 있어 재배 안정성을 확보할 수 있다. 수경재배용 배지 중 일부는 재사용이 가능하고, 이러한 배지의 조성은 작물 생 장과 품질에 영향을 줄 수 있다. 본 연구는 재사용 코이어 배지 또는 인공배지를 첨가한 배지 조성에 칼슘 공급원을 처리하여 배추(Brassica rapa ‘Bulam Plus’)를 수경재배 했을 때 배액과 생육에 미치는 영향을 알아보고자 10주동 안 수행하였다. 배지 조성은 재사용 코이어: 피트모스: 펄라이트 비율(v/v/v)을 각각10:0:0, 7:2:1, 5:3:2의 세 처리 와 각 처리에 칼슘 공급원인 CaSO4(G)와 CaO(Q)를 200g/m2 혼합한 총6가지 처리(G10:0:0, G7:2:1, G5:3:2, Q10:0:0, Q7:2:1, Q5:3:2)하였다. 배액량, 배액의 pH와 EC, 생육, 잎끝마름(Tipburn)발생을 조사하였다. 배추 생육이 증가함에 따라 모든 처리에서 배액률은 감소하였고, 처리 9주째는 20% 미만으로 감소하였다. 배액의 EC는 G 처리가 Q 처리 보다 높았으나 배액의 pH는 Q 처리가 높았다. 처리 10주째 배추의 초장, 엽수, 엽폭은 처리 간 유의성이 없었다. 엽 록소함량값(SPAD)은 G7:2:1과 G5:3:2처리에서 높게 나타났다. 잎의 당도와 건물중은 Q5:3:2처리에서 높았으며, 건물 중이 관찰되었다. 배추의 잎끝마름 발생은 처리 25일째 관찰되었으며, G7:2:1처리에서 가장 높았다. 이상의 결과를 종합할 때 CaO가 첨가되고 재사용 코이어 50% 함유된 Q5:3:2처리에서 수경 재배된 배추 생육이 양호하였다. 본 연 구는 간이 시설을 적용된 수경재배 시스템에서의 안정적 배추 재배를 위해 재사용 코이어 배지와 칼슘 공급원에 관 한 기본 정보를 제공하고자 하였다.

We prepared porous poly(ε-caprolactone)/poly(lactic-co-glycolic acid) (PCL/PLGA) 3D scaffolds with surfaces that were modified through the co-precipitation of calcium phosphate (CAP) with binary drug components, including risedronate (RSD) and hyaluronic acid (HyA). The 3D porous biodegradable PCL/PLGA scaffolds were fabricated by sintering microspheres prepared with a 30/70 PCL/PLGA blend. The co-precipitation of the CAP coating with binary drug components significantly enhanced the proliferation and differentiation of rat mesenchymal stem cells (rMSCs) on the scaffolds. Although the presence of both HyA and RSD positively improved proliferation and differentiation, HyA and RSD were more effective on osteoblastic proliferation and differentiation, respectively. These results strongly demonstrate that the drug effects on osteoblastic responses were closely interconnected. The two drugs affect rMSCs behavior in a concentration-dependent manner, requiring a balance between proliferation and differentiation for optimal bone regeneration. We expect this surface modification technique could potentially be utilized for the fabrication of functionalized biodegradable scaffolds and delivery of drug mixtures.

본 연구는 지난 10여년간 고려대학교 및 한국과학기술연구원(KIST)에서 AMS를 이용하여 측정된 우주선유발 동위원소 10 Be의 준비 및 측정 과정을 다룬 보고서이다. 총 2 4세트의 표준물질과 107개의 Blank시료가 분석되었으며, 2017년 이후 표준물질의 측정 재현성이 크게 향상되어 국제적인 주요 실험실의 결과와 비교할 만한 수준의 성과를 보였다. 그러나 Blank 값은 사용된 9 Be 캐리어의 종류 및 석영 추출 과정과 AMS 측정 세팅 등 실험 조건에 따라 영향 을 받는 것으로 나타났으며, 이는 잠재적인 오염원을 체계적으로 추적하고 관리할 필요성을 시사한다. 본 연구는 10 Be Background 값을 줄이는 것이 우주선유발 동위원소 연구의 범위를 넓히는 데 중요한 역할을 함을 강조한다. 낮은 Background 값은 상대적으로 최근에 형성된 지형이나 오랜 시간 매몰되어 방사성 핵종이 상당량 감소한, 저준위 10 Be 지형의 연대측정을 가능하게 한다. 향후 연구에서는 실험 과정을 개선하고 가중평균 계산법 등의 새로운 통계적 방법을 도입하여 측정 오차를 최소화하는 데 중점을 둘 예정이다. 본 연구는 다양한 시간적 및 공간적 규모에서 지구표면과학 연구를 발전시키기 위한 우주선유발 동위원소 분석의 기반을 제공한다.

Background: The increasing demand for real-time professional fitness coaching has led to a need for accurate exercise posture recognition using artificial intelligence. Objectives: To compare the performance of Feedforward Neural Network (FNN) and Stacked Long Short-Term Memory (LSTM) models in classifying fitness posture images using detailed joint coordinate labeling. Design: Comparative analysis of machine learning models using a labeled dataset of fitness posture images. Methods: A dataset from AI-hub containing images and data of 41 exercises was used. Five exercises were selected and processed using a custom program. Data was converted from JSON to CSV format, augmented with joint condition information, and analyzed using Google Colab. Results: The best FNN model achieved a training error of 1.21% and test error of 9.08%. The Stacked LSTM model demonstrated superior performance with a training error of 1.05% and test error of 6.09%. Conclusion: Both FNN and Stacked LSTM models effectively classified sequential fitness images, with Stacked LSTM showing superior performance. This indicates the potential of Stacked LSTM models for accurate fitness posture classification in real-time coaching scenarios.

Background: Automated classification systems using Artificial Intelligence (AI) and Machine Learning (ML) can enhance accuracy and efficiency in diagnosing pet skin diseases within veterinary medicine. Objectives: This study created a system that classifies pet skin diseases by evaluating multiple ML models to determine which method is most effective. Design: Comparative experimental study. Methods: Pet skin disease images were obtained from AIHub. Models, including Multi-Layer Perceptron (MLP), Boosted Stacking Ensemble (BSE), H2O AutoML, Random Forest, and Tree-based Pipeline Optimization Tool (TPOT), were trained and their accuracy assessed. Results: The TPOT achieved the highest accuracy (94.50 percent), due to automated pipeline optimization and ensemble learning. H2O AutoML also performed well at 94.25 percent, illustrating the effectiveness of automated selection for intricate imaging tasks. Other models scored lower. Conclusion: These findings highlight the potential of AI-driven solutions for faster and more precise pet skin disease diagnoses. Future investigations should incorporate broader disease varieties, multimodal data, and clinical validations to solidify the practicality of these approaches in veterinary medicine.

Background: Squats are often used to strengthen the quadriceps femoris, but they are affected by lower extremity posture. Objectives: The study of this was to investigate the effect on the muscle activity of the vastus medialis and the vastus lateralis according to the ankle angle, during squat exercise. Design: Quasi-Experimental research. Methods: Thirty healthy adult males participated in the study and the subjects measured the vastus medialis muscle and the vastus lateralis muscle and measured the maximum electromyogram. The subjects performed one squat at ankle angles of toe out 0˚, toe out 20˚, and toe out 40˚, then rested for 2 minutes and repeated 3 sets. Data analysis was performed using the repeated measures analysis of variance and paired t-test for window program. The significance level for statistical treatment was set at .05. Results: There was a statistically significant difference in the vastus medialis and the vastus lateralis in the ankle angles of toe out 0˚, toe out 20˚, and toe out 40˚during squat (P<.05). The muscle activity of the vastus medialis and vastus lateralis showed the highest at the ankle angle toe out 20˚, and the vastus medialis showed a statistically significant increase at toe out 0˚ than at toe out 40˚ (P<.05). In vastus lateralis, toe out 40˚ increased statistically more than toe out 0˚(P<.05). Conclusion: In the early stage of rehabilitation for patients with knee pain, strengthening the vastus medialis muscle at toe out 0˚and performing squat exercise at toe out 20˚ in the later period will be helpful. However, if you exercise at toe out 40˚ beyond toe out 20˚, the vastus lateralis muscle becomes dominant, so it will not be helpful during squat exercise.

Background: Artificial intelligence (AI) research on physical fitness posture estimation has been limited by a lack of comprehensive datasets and guidelines. This study analyzes the fitness image dataset provided by Korea's AIHub platform to advance posture estimation algorithms from exercise prescription and behavioral analysis perspectives. Objectives: To analyze fitness movements and guide correct exercise posture using AI-based visual and auditory feedback. Design: Descriptive analysis of a large-scale dataset. Methods: The study examined image and JSON labeling files from AI-Hub, analyzing 6.39 million fitness images across 41 exercise types. Data structure, exercise states, and annotation characteristics were analyzed in detail. Results: The dataset encompasses 816 distinct exercise states, captured from five camera angles with 24 key body points labeled per posture. Exercises were categorized into full-body workouts (17), barbell/dumbbell exercises (16), and furniture exercises (8). Gender distribution was 76% male and 24% female, with 41% in the 27-29 age group. The dataset allows for detailed analysis of correct and incorrect postures. Conclusion: This comprehensive analysis of the AI-Hub fitness dataset provides a robust foundation for developing AI models for fitness posture evaluation and feedback, benefiting exercise coach web/app service developers.

Background: problem-based learning (PBL) is effective in learning majors in health care colleges. Objectives: To analyzed the effectiveness of self-efficacy, academic resilience, and self-directed learning in physical therapy students after PBL. Design: Questionnaire design. Methods: 44 participated in a study using a Mandal-art chart for PBL in a first-year medical terminology class. Surveys assessing self-efficacy, academic resilience, and self-directed learning were conducted before and after the semester. The study evaluated changes in these competencies through structured questionnaires. Cronbach's α was calculated to confirm the reliability of each questionnaire scale. A paired t-test was conducted to compare pre and post PBL class levels of self-efficacy, academic resilience, and self-directed learning, and the correlations between the measurement variables were analyzed using Spearman’s rank correlation coefficient. Results: Self-efficacy, academic resilience, and self-directed increased statistically significantly after the PBL class compared to before the class. A significant positive correlation was observed between self-efficacy and academic resilience, as well as between self-efficacy and self-directed learning. Additionally, academic resilience and self-directed learning also showed a significant positive correlation. Conclusion: PBL enhances self-efficacy, resilience, and self-directed learning, which show positive correlations and interact to improve physical therapy education outcomes.

Background: The diaphragm release technique, commonly used in COPD patients, improves diaphragmatic mobility and inspiratory capacity. Diaphragmatic breathing, with slow deep breaths, supports autonomic regulation and benefits the brain, cardiovascular, and respiratory systems. However, research on their combined effects on respiratory function remains limited. Objectives: To investigate the effects of manual diaphragm release on respiratory functions, specifically focusing on forced vital capacity (FVC), forced expiratory volume in one second (FEV1), diaphragmatic mobility, and chest expansion. Design: A randomized controlled trial. Methods: The study involved 26 university students, who were randomly assigned to either the experimental group (Manual diaphragm release + Diaphragmatic breathing, MDR) or the control group (Diaphragmatic breathing, DB). Measurements taken before and after the immediate intervention included diaphragmatic mobility, chest expansion, FVC, and FEV1. Results: In the experimental group, significant differences were observed in diaphragmatic mobility, FVC, and FEV1 between the pre- and post-intervention measurements, while the control group had no significant changes. The experimental group showed significant improvements in diaphragmatic mobility and FVC compared to the control group. Conclusion: MDR significantly enhance diaphragmatic mobility and FVC in university students compared to DB. These findings suggest that MDR is an effective non-invasive intervention for improving specific respiratory functions.

Background: In patients with low back pain (LBP), weakened core muscles and impaired proprioception contribute to decreased spinal stability and LBP recurrence. Objectives: To investigate the effects of abdominal bracing exercises (BE) and kinetic link training (BEKLT) on pain, balance, and proprioception in LBP patients. Design: Randomized controlled trial. Methods: Sixteen adults with LBP were randomly assigned to a BE group or a BEKLT group. Both groups completed a four-week intervention (three sessions per week). Pain was assessed using the visual analog scale (VAS), proprioception with the lumbar reposition sense test, and balance with the BT4 system. Results: Both groups showed significant reductions in VAS and proprioception error (P<.05), with no inter-group differences. In dynamic balance (limits of stability), the BE group improved in rearward, left, and right angles, while the BEKLT group improved in forward, rearward, and left angles (P<.05). A significant difference was observed in the forward leaning angle between groups (P<.05). For static balance, both groups showed significant reductions in trace length and C90 area (P<.05), with no inter-group differences. Conclusion: The findings suggest that both BE and BEKLT are effective interventions for reducing pain and improving proprioception and balance in LBP, with BEKLT providing additional benefits for dynamic balance.