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.

In this study, we examine the relationships between the National Oceanic and Atmospheric Administration (NOAA) space weather scale frequencies and the maximum monthly sunspot number in each solar cycle: 1975 to 2020 for radio blackouts (R scales) and solar radiation storms (S scales), 1932 to 2020 for geomagnetic storms (G scales). Our main results are as follows. First, we find that NOAA space weather scale frequencies have strong solar cycle dependencies. Second, we propose new linear relationships between the frequency of certain scales (R1 to R4, and G1 to G4) and the maximum monthly sunspot number. T-test results show that R1 to R3 and G1 to G4 relationships are statistically meaningful, but marginal for R4. Third, our results significantly reduce the root-mean-square error (RMSE) between observed and suggested frequencies compared to the NOAA’s current frequencies. For example, in the case of solar cycle 24, our new prediction (74) for R3 scale is much more consistent with the observational frequency (74) than the NOAA prediction (175), and our prediction (85) for G3 scale is much closer to the observation (40) than the NOAA prediction (200). Our work may provide a useful guideline for advancing the space weather scales.

This study analyzes the participants’ purchasing and wearing conditions of Jiu-Jitsu uniforms, identifying issues with current designs and proposing improvements. Data were collected from 160 participants through an online survey from April 15 to May 20, 2024. Frequency, cross-tabulation analyses, and one-way ANOVA were performed using SPSS 29.0. The survey included questions related to participants’ general information, uniform purchasing behavior, satisfaction with Jiu-Jitsu uniforms, preferred brands, and sizing, and fit satisfaction. The results revealed that most male participants were in their 30s, while female participants were in their 20s. A higher proportion of males were overweight, while females were likelier to have a normal BMI. Participants generally owned 3–6 uniforms, most purchases in the 160,000–200,000 KRW price range. International brands were preferred, and participants selected uniforms based on fit, quality, and design. The most common sizes were A1 and A1L, with overweight and obese participants tending to opt for additional size options. Key improvement areas included pants length and waist width. The findings highlight the need for unisex pattern designs for individuals in the B range (160–170cm) and patterns specifically designed for overweight males in the C range (170–180cm). This study provides valuable insights into Jiu-Jitsu uniform preferences and body typespecific requirements, offering foundational data for enhancing uniform design and functionality.

Galaxy evolution studies require the measurement of the physical properties of galaxies at different redshifts. In this work, we build supervised machine learning models to predict the redshift and physical properties (gas-phase metallicity, stellar mass, and star formation rate) of star-forming galaxies from the broad-band and medium-band photometry covering optical to near-infrared wavelengths, and present an evaluation of the model performance. Using 55 magnitudes and colors as input features, the optimized model can predict the galaxy redshift with an accuracy of σ(Δz/1+z) = 0.008 for a redshift range of z < 0.4. The gas-phase metallicity [12 + log(O/H)], stellar mass [log(Mstar)], and star formation rate [log(SFR)] can be predicted with the accuracies of σNMAD = 0.081, 0.068, and 0.19 dex, respectively. When magnitude errors are included, the scatter in the predicted values increases, and the range of predicted values decreases, leading to biased predictions. Near-infrared magnitudes and colors (H, K, and H −K), along with optical colors in the blue wavelengths (m425–m450), are found to play important roles in the parameter prediction. Additionally, the number of input features is critical for ensuring good performance of the machine learning model. These results align with the underlying scaling relations between physical parameters for star-forming galaxies, demonstrating the potential of using medium-band surveys to study galaxy scaling relations with large sample of galaxies.

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.

Being in a stable continental region (SCR) with a limited history of instrumentation, South Korea has not collected sufficient instrumental data for data-driven ground motion models. To address this limitation, we investigated the suitability of the hybrid ground motion simulation method that Graves and Pitarka (2010, 2015) proposed for simulating earthquake ground motions in South Korea. The hybrid ground motion simulation method used in this study relies on region-specific parameters to accurately model phenomena associated with the seismic source and the wave propagation. We initially employed relevant models and parameters available in the literature as a practical approach. We incorporated a three-dimensional velocity model developed by Kim et al. (2017) and a one-dimensional velocity model presented by Kim et al. (2011) to account for the crustal velocity structure of the Korean peninsula. To represent the earthquake source, we utilized Graves and Pitarka’s rupture generator algorithm along with a magnitude-area scaling relationship developed for SCR by Leonard (2014). Additionally, we assumed the stress and attenuation parameters based on studies of regional seismicity. Using the implemented platform, we simulated the 2016 Mw5.57 Gyeongju earthquake and the 2017 Mw5.4 Pohang earthquake. Subsequently, we compared results with recorded accelerations and an empirical ground motion prediction equation at strong motion stations. Our simulations had an overall satisfactory agreement with the recorded ground motions and demonstrated the potential of broadband hybrid ground motion simulation for engineering applications in South Korea. However, limitations remain, such as the underestimation of long-period ground motions during the 2017 Pohang earthquake and the lack of a model to predict the ground motion amplification associated with the near-surface site response accurately. These limitations underscore the importance of careful validation and refinement of region-specific models and parameters for practically implementing the simulation method.

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.

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.

This study focused on Issey Miyake’s 14 womenswear collections from spring 2018 to fall 2024. Reviews and reports on these collections and the designer were collected from the American Vogue and the Women’s Wear Daily websites using the keyword “Issey Miyake.” Drawing upon the dress criticism model, this study analyzed the form of Miyake’s fashion designs identifying styles, descriptive features, and aesthetic values through the collection photographs. Implicit evaluations were derived through external interpretations and sociocultural analysis based on reviews and reports of Miyake’s collections and designs. The results were as follows: Miyake’s fashion design is avant-garde in style. Descriptively, Miyake introduced variations in silhouette through the three-dimensionality of pleats, exploring a new sculptural order. The aesthetic values of Miyake’s works extend beyond the fashion show realm, embodying natural beauty wearable in daily life, artistic beauty through the three-dimensionality of pleats, and a pursuit of new aesthetic values challenging existing systems and traditional norms. Externally interpreted, Issey Miyake is recognized for his diverse, practical, and innovative designs, and as the first Japanese designer to present shows in Paris. Sociocultural interpretations characterize of Issey Miyake’s works as a blend of tradition and modernity, an expansion of form through pleats and three-dimensional sculptural qualities, the result of ongoing research and development, possessing timeless qualities transcending eras, and a pursuit of practicality and artistic excellence.

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.

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.

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: Multiple fractures, particularly femoral fractures, are increasingly prevalent and associated with high mortality rates and significant functional impairments. This highlights the urgent need for effective rehabilitation strategies, such as robot-assisted training, to enhance recovery and improve quality of life. Objectives: This study aimed to evaluate the clinical effectiveness of robotassisted rehabilitation for multiple femoral fractures. Design: Single-subject design. Methods: A 15-day A-B-A' single-subject design was employed. A man in his 30s with multiple fractures underwent standard rehabilitation during the baseline (A) and regression baseline (A') phases, with robotic therapy introduced during the intervention phase (B). Daily assessments of mobility and balance were analyzed using the two-standard deviation method. Results: Robotic therapy led to significant improvements: the TUG test time decreased from 16.21±0.64 seconds (A) to 10.63±0.46 seconds (B) and 9.64±0.35 seconds (A'). The 10 MWT time improved from 6.31±0.64 seconds (A) to 5.41±0.17 seconds (B) and 5.01±0.12 seconds (A'). LOS increased from 364.01±35.83 cm² (A) to 484.67±29.97 cm² (B) and 518.03±18.82 cm² (A'). Plantar pressure imbalance (59.2% right, 40.8% left in A) was corrected to nearly equal distribution in B (49.4%/50.6%) and A' (50.8%/49.2%). Conclusion: Robotic rehabilitation therapy improves balance and weightbearing capacity in patients with multiple fractures, suggesting its effectiveness as an early intervention following bone union.

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: Chronic ankle instability (CAI) is very common disease. Strength exercise, balance exercise, and proprioceptive exercise were used to improvement of function for CAI. Isokinetic strength and balance are related to functional movement of lower extremity. Objectives: The purpose was to analyze the effect of muscle strengthening exercise, balance exercise, and proprioceptive exercise on isokinetic strength and balance in young adults with CAI. Design: Randomized controlled trial. Methods: The subjects were 30 young adults with CAI. The subjects randomly divided into three groups: strengthening exercise, balance exercise, and proprioceptive exercise. They performed each exercise for 20 minutes, three times a week for four weeks. They measured isokinetic strength of dorsiflexor and plantar flexor of 60°/sec and 120°/sec, static and dynamic balance before and after exercise. Results: The isokinetic strengths of dorsiflexor and plantar flexor of 60°/sec and 120°/sec were significantly higher in the strengthening exercise group than in the balance exercise group. The static and dynamic balance was significantly higher in the balance exercise group than in other two groups. Conclusion: Strengthening exercise, balance exercise, proprioceptive exercise can improve the muscle strength for CAI. Strengthening exercise and balance exercise can more improve balance than proprioceptive exercise for CAI.