본 연구는 신무용 시기부터 21세기 동시대에 이르기까지 한국 남성 현 대무용가들의 전개 양상과 스타일 형성 과정을 역사적·젠더적 관점에서 분석하는 데 목적이 있다. 한국 남성 현대무용은 신무용 시기의 민족적· 상징적 신체 표현에서 출발하여, 제도화 과정 속에서 표현주의적 신체 언어를 확립하였고, 이후 국제 교류와 사회적 담론의 확장을 통해 다원 적·융합적 미학으로 전개되었음을 확인할 수 있었다. 특히 남성 무용가의 신체는 시대별로 민족적 주체, 내면적 존재, 감정과 취약성을 드러내는 수행적 주체로 변모하며, 한국 현대무용 스타일 형성에 중요한 역할을 수행해 왔다. 본 연구는 남성 무용가를 중심으로 한국 현대무용사의 전 개를 재구성함으로써, 기존 연구에서 상대적으로 간과되었던 젠더적 관 점과 스타일 형성 메커니즘을 보완하고자 한다.
본 연구의 목적은 그릿과 성장마인드셋의 이론적 개념을 통합하고, C-PLUS 코칭모델에 기반한 그릿코칭 프로그램을 개발하여 그 구성 체계를 제시하는 데 있다. 최근 개인의 지속적 성장과 장기적 목표 달성을 설명하는 핵심 심리 자원 으로 그릿과 성장마인드셋이 주목받고 있으나, 두 개념을 통합적으로 다루고 이 를 코칭 프로그램으로 구조화한 연구는 제한적이다. 이에 본 연구는 긍정심리학 과 자기결정성 이론을 토대로, 성장마인드셋이 도전과 실패를 학습의 기회로 재 해석함으로써 그릿의 지속적 발현을 촉진하는 통합 이론 구조를 제안하였다. 연 구 목적을 달성하기 위해 문헌 분석과 ADDIE 모형에 근거한 프로그램 개발 절 차를 적용하였다. 개발 과정에서는 C-PLUS 코칭모델을 가치 기반 틀로 설정하 고, ACTIVE 코칭대화모델을 실행 구조로 반영하였다. 그 결과, 총 7개 모듈로 구성된 C-PLUS 그릿코칭 프로그램을 개발하였으며, 각 모듈은 개념 이해–활 동 적용–코칭 실습의 구조로 설계되었다. 본 프로그램은 그릿과 성장마인드셋 의 핵심 요소를 코칭 역량과 연계하여 체계화하였다는 점에서 이론적·교육적 의 의를 지니며, 코치 교육과 조직 및 교육 현장에서의 적용 가능성을 제시한다.
본 연구는 인공지능(AI) 기반 말하기 연습이 외국어로서의 한국어 (KFL) 학습자의 말하기 불안감과 정서적 발달에 미치는 영향을 분석함으 로써, AI 도구가 학습자의 정서적 요인에 미치는 교육적 의미를 탐색하 였다. 양적·질적 혼합연구 방법을 사용하여 설문조사 결과와 심층 인터 뷰 자료를 종합적으로 분석하였다. 통계분석 결과, 전반적으로 말하기 불 안이 감소하는 경향을 보였으나, 통계적으로 유의한 차이는 한 문항에서 만 확인되었다. 그러나, 질적 분석에서는 인터뷰에 참가한 모든 학습자가 AI와의 상호작용을 통해 말하기에 대한 자신감과 편안함이 향상되었다고 보고하였으며, 이는 AI 기반 연습 환경이 학습자에게 심리적 안정감과 언어 사용의 부담 완화라는 긍정적 경험을 제공했음을 보여준다. AI 기 반 말하기 연습은 완전한 의사소통 능력의 습득을 대체하기보다는, 학습 자가 인간과의 실제 상호작용으로 나아가기 위한 초기 단계의 스캐폴드 역할을 수행하는 것으로 이해할 수 있다. 연구의 한계로는 소규모 표본, 짧은 개입 기간, 그리고 연구 결과의 일반화 가능성 제한이 있다.
This study analyzed body measurements of women aged 70+ from the 8th Size Korea data to provide information essential for reducing user inconveniences associated with four-wheeled walkers for elderly women by comparing various handgrip heights from previous studies. Even within the same height group, handgrip heights among women aged 70+ were significantly lower than among women in their 50s and 60s. Handgrip heights calculated based on wrist height and elbow height were significantly lower than those calculated based on height. To improve consumer awareness and industry applicability, a comparison using height index values revealed that handgrip height based on wrist height was 1% lower (47%) than the height for the elderly in general (48%), and handgrip height based on elbow height was 0.5–0.7% lower than the height for adults (52%). In the balance-related group, where bow legs typically reduce waist height, handgrip heights based on wrist and elbow heights were significantly lower (0.5–1%) than those for elderly women in general. To ensure safety and mobility, the dimensions of four-wheeled walkers should reflect the physical dimensions of people aged 70+ as the target audience. In particular, sturdy yet easily adjustable handgrips should be used to allow handgrip heights to be modified safely and easily to meet specific balance challenges.
충청남도농업기술원 화훼연구소에서 노란색 계통의 국화 (Chrysanthemum × morifolium (Ramat.) Hemsl.) 품종의 ‘마 루볼(Maru Ball)’을 육성하였다. ‘마루볼(Maru Ball)’ 품종은 노란색 반겹꽃 특성을 갖는 모본 ‘G05-180-01’을 자연방임하여 확보한 자원을 기반으로 선발되었으며, 연차별 생육 및 개화 특성 검정을 거쳐 최종 선발되었다. ‘마루볼(Maru Ball)’은 옆으 로 넓게 자라는 편구체 초형을 보이며, 설상화의 화색은 RHS 색표 기준 Yellow 14A에 해당하였다. 개화는 자연일장 조건에서 9월 25일경 시작되는 중생종 특성을 나타낸다. 주요 생육 형질로 는 평균 화경 3.6cm, 본당 착화수 601.9개, 설상화 수 64.0개, 초장 21.0cm가 확인되었으며, 엽색은 Green 138B 수준의 녹색 을 가졌다. ‘마루볼(Maru Ball)’은 대조 품종인 ‘Smile Ball’과 비교하였을 때, 초형, 개화시기 및 착화량에서 뚜렷한 차이를 보였다. 화단 및 도로변 조경용 식재로 활용성이 높아 보이며, 안정적인 생육과 상품성을 바탕으로 화훼 재배 농가에서 새로운 소득 작목으로 기여할 수 있을 것으로 기대된다.
This study assessed suitable lettuce (Lactuca sativa L.) cultivars and lighting conditions for indoor hydroponic cultivation in Mongolia, examining their applicability in a household-scale vertical farming system. Three cultivars— ‘Jeokchima,’ ‘Cheongsangchu,’ and ‘Meiguodashusheng’— were grown under two lighting treatments: LEDs and T5 LEDs. ‘Jeokchima’ demonstrated the most consistent and superior growth across both harvests, exhibiting significantly higher leaf length, SPAD value, dry weight, and leaf number compared to the other cultivars. The use of LED lighting enhanced all growth parameters, except for petiole length, compared to T5, highlighting its advantages in arid indoor environments. Based on these findings, a compact three-tier Deep Water Culture (DWC) system was designed as a model for urban households, facilitating year-round lettuce production in limited indoor spaces. This model shows promise for enhancing vegetable self-sufficiency and food security in Mongolia. Further research on optimizing light spectra, managing photoperiods, and diversifying cultivars is recommended.
Background: Hallux valgus (HV) is a common forefoot deformity that can lead to pain, altered gait, and musculoskeletal dysfunctions. Accurate severity assessment is essential for clinical decision-making, yet radiographic methods, though accurate—are costly and less accessible. Objects: This study aimed to develop and clinically validate an end-to-end artificial intelligence (AI)-based mobile application for HV severity classification from smartphone-captured dorsal foot photographs. Methods: The study comprised two phases. In Phase 1 (App & Model Development), we developed a mobile application integrating foot Red-Green-Blue (RGB) image capture, HV severity classification, and immediate reporting. Paired (weight-bearing anteroposterior foot) radiographs and smartphone dorsal foot photographs were collected from 180 adults with HV. Radiographic HV angle and intermetatarsal angle were measured to categorize severity (mild, moderate, severe) as ground truth. A MobileNetV2 convolutional neural network (CNN) was trained on dorsal foot images to predict severity. In Phase 2 (External Validation & Usability Assessment), 30 independent participants underwent both radiographic and app-based severity assessments. Diagnostic times were recorded for both assessments. Participants then completed a 10-item Likert-scale usability questionnaire, with internal consistency assessed using Cronbach’s α. Results: The CNN successfully classified HV severity based on radiographic ground truth and showed consistent performance on an external dataset. App-based assessment was on average approximately 12 minutes faster than radiographic evaluation (p < 0.001). Usability evaluation indicated positive user experience (overall mean = 3.84/5, Cronbach’s α = 0.706). Conclusion: This study presents fully operational mobile AI application that enables rapid, accurate, and user-friendly classification of HV severity directly from smartphone photographs. By combining machine learning with an accessible mobile platform, it can support point-ofcare screening, patient self-monitoring, and community-based care where radiographic evaluation is impractical.
Background: Urinary incontinence (UI) is a prevalent condition that thereby reducing quality of life (QOL) in adult women. Therefore, it is important to assess the impact of UI on daily functioning, social participation, and sexual health. The Incontinence Quality of Life (I-QOL) and the Incontinence Impact Questionnaire (IIQ) are the most widely used assessment tools. The I-QOL focuses on emotional impacts, whereas the IIQ targets activity-related limitations. Using both instruments could provide a more comprehensive assessment; however, this approach increases administration time and introduces redundancy. Objects: This study aimed to develop a concise questionnaire to assess the QOL in patients with UI by merging the Korean version I-QOL and IIQ through Rasch analysis. Methods: A total of 250 women aged 40–69 who had experienced UI were recruited. The combined responses from the 52 items of a questionnaire integrating I-QOL and IIQ were analyzed using Rasch analysis to evaluate item difficulty and separation reliability. Misfit items were excluded and the remaining items were converted into logit values to determine the order of item difficulty. The separation reliability was evaluated using person and item separation indices. Results: By analyzing item difficulty, redundant items with overlapping levels were excluded while retaining the most significant ones, resulting in a final selection of 10 items. Upon reanalysis of these 10 items, the person separation index decreased from 4.96 to 2.47, and the person reliability index decreased from 0.96 to 0.86. However, the item separation index remained high at 7.29 and 7.59, and item reliability index remained at 0.98. Conclusion: The brief questionnaire maintained high reliability and demonstrated the potential for streamlined clinical assessment. The brief instrument offers a reliable and efficient tool for clinical assessment, enhancing the feasibility of evaluating the severity, type, and impact of UI on patients’ QOL.
국내 조직은 오랫동안 문화적·제도적 기반이 충분히 마련되지 않은 상태에서 외국의 인적자원 평가제 도를 무비판적으로 도입해 혼란을 겪어 왔다. 직무연구의 부재 속에서 직무분석을 전제로 한 평가방식을 적용하거나, 경쟁적 환경에도 불구하고 보수적·속인적 특성을 중심으로 한 평가를 지속한 사례가 대표적 이다. 특히 외환위기 이후 성과주의가 본격 도입되면서 연공중심의 기존 평가체계는 급격한 변화를 맞이 했고, 연봉제·인센티브제 등 새로운 보상체계의 확대는 팀워크 저하와 인간관계 훼손 등 부작용도 함께 초래하였다. 이러한 성과주의 체계가 조직 내에 안정적으로 정착하기 위해서는 무엇보다 평가시스템의 공정성·합리성·신뢰성 확보가 필수적이다. 본 연구는 (B)시설관리공단(FMA: Facilities Management Authority)의 인적자원 평가체계 운영 실태를 분석하고, 인사평가·내부평가·다면평가 각 영역에서 나타나 는 구조적 문제를 검토하여 개선방안을 제시하는 데 연구의 주안점을 두었다. 이론적 고찰과 실태분석 결과를 통합하여 인적자원평가의 타당성을 제고할 수 있는 대안을 도출하고, 조직 특성과 직무환경을 반 영한 전략적 인적자원 평가체계 구축을 위한 정책적 시사점을 제안하였다.
본 연구는 1970년대에 발표된 조세희의 난장이가 쏘아올린 작은 공(이하 난·쏘·공)이 제기하는 사 회문제를 UN의 지속가능발전목표(SDGs) 관점에서 재해석하고자 한다. 난·쏘·공이 제기하는 당시 대한 민국의 사회 문제는 빈곤의 문제, 교육의 불공평 문제, 도시 개발과 철거민의 문제, 노동자의 권리 보장 문제, 환경 오염 문제, 부정부패의 문제 등이다. 난·쏘·공에서 도출된 문제를 SDGs 목표 1, 3, 4, 6, 8, 11, 12, 14, 16과 대응시켜 살펴본 결과, 1970년대 한국 산업화 시기의 경험이 오늘날 개발도상국이 직면한 보편적 과제와 깊이 연결되어 있음을 확인하였다. 이를 통해 난·쏘·공을 SDGs·ESD 교육과 시민 교육의 핵심 텍스트로 활용할 수 있는 가능성을 제시한다.
With the rapid transition to an aging society, the need for assistive technologies that promote independent indoor living for the elderly and mobility-impaired has become increasingly critical. This study proposes the development of a next-generation powered chair designed to support such independence by compensating for mobility limitations caused by natural aging. The proposed system incorporates two core functionalities: (1) an low seat-lifting mechanism capable of lowering the seat height to 7 cm, and (2) a short-range autonomous driving mode operable in both lowered and lifted positions. The low driving mode enables the user to approach low tables or desks and facilitates effortless transfer to and from low beds or sofas. In the lifted position, the system performs real-time obstacle detection and avoidance within a 3-meter range, preventing falls and collisions while expanding the user’s range of motion— for instance, by allowing access to higher objects or enabling eye-level communication with standing individuals. To realize these functions, a rack-and-pinion lifting mechanism is applied, along with a direct target-point designation method utilizing an LED pointer and a wiper-type screening approach for real-time obstacle avoidance. The design concept, implementation strategy, and validation plan are presented. This research contributes to enhancing the quality of life for elderly users by maximizing their remaining physical capabilities, while simultaneously reducing the physical and emotional burden on caregivers.
In the manufacturing industry of metallic bellows, accurate cost estimation and quotation generation are crucial because the design dimensions and material specifications vary with each OEM order. This study aims to develop a Microsoft Excel-based software that automatically calculates production costs and generates quotations for single-type and double-type circular bellows based on the EJMA (Expansion Joint Manufacturers Association) 10th Edition design standards. The proposed program integrates the essential cost components — raw materials, forming processes, welding, assembly, inspection, and overhead — into a modular calculation system. Using VBA (Visual Basic for Applications), the system allows users to input design parameters (such as pitch, convolution height, mean diameter, and thickness), after which it automatically computes material consumption, manufacturing time, and total cost, providing an itemized quotation sheet. This automation not only reduces manual calculation errors but also significantly shortens the lead time for quotation preparation. The research demonstrates that the developed system achieves cost estimation accuracy within ±3% of actual production costs and can be easily adapted to different bellows configurations, thereby enhancing productivity and competitiveness in OEM manufacturing environments.
In shipyards, various types of outdoor cranes are utilized to construct large vessels using the block assembly method. The total number of outdoor cranes in domestic shipyards is estimated to be close to 1,000 units. To prevent potential accidents caused by strong winds or other external forces when cranes are in an idle state, safety locking devices must be installed on the lower rail of each crane to prevent unintended movement. Currently, most shipyards employ hydraulic safety locking devices. However, these systems have several drawbacks, including oil leakage, difficulties in power supply maintenance, and the inability to visually confirm the exact locking condition between the device and the rail. To address these issues, this study proposes a new type of motor-driven safety locking device. The design was validated through structural safety evaluation based on finite element analysis(FEA), followed by prototype fabrication and operational testing. The test results confirmed that the developed system met key performance criteria such as operation time, clamping force, and safety factor. The application of the proposed safety device is expected to enhance the operational safety of crane systems and reduce the workload of operators, thereby contributing to a safer working environment in shipyards.
본 연구의 목적은 사회복지사의 직무스트레스, 업무만족, 경력개발지원 간의 관계를 살펴보고, 그 사이에서 직무스트레스와 경력개발지원의 상 호작용을 확인하는 것이다. 연구방법은 SPSS 30.0 프로그램을 활용해 주요 변수의 기술통계, 변수 간 상관관계 분석, 다중회귀분석, 경력개발 지원의 조절효과 일변량 분석을 실시하였다. 연구 결과, 첫째, 직무스트 레스와 경력개발지원, 업무만족의 음의 상관관계를 확인했고, 경력개발지 원과 업무만족의 정의 상관관계를 확인했다. 둘째, 직무스트레스가 높을 수록 업무만족이 낮아짐을 확인했다(β=-.653, p<.001). 셋째, 경력개발지 원이 높을수록 업무만족이 높아짐을 확인했다(β=.348, p<.001). 마지막으 로, 직무스트레스와 경력개발지원의 상호작용이 업무만족에 유의미한 영 향을 미침을 검증했다(β=.104, p<.001). 이에 따른 결과적 함의로 사회복 지사의 직무스트레스, 업무만족, 경력개발 지원을 위한 정책 및 실천적 함의를 제시했다.
As science and technology advance, the demand for materials capable of withstanding extreme environments has steadily been increasing. Among them, structural materials that can operate reliably at high temperatures remain a critical field of development. Single-crystal nickel-based superalloys are among the most advanced metallic materials, capable of sustaining stresses at the highest operating temperatures, and are widely used for gas turbine blades. Since the efficiency of a gas turbine increases with higher turbine inlet temperature, the development of alloys capable of operating under such extreme conditions has been a continuing challenge. Significant progress has been achieved by adding refractory elements such as Re and Ru, leading to superalloy generations classified according to their content. While advanced countries initially led the development of 4th and 5th generation alloys containing high amounts of Re and Ru, recent trends have emphasized cost competitiveness, by reducing these expensive elements while maintaining high-temperature performance. Alongside Western countries, China has also invested heavily in optimizing Re and Ru content for material self-reliance. For Korea, the local realization of single-crystal superalloys is essential not only for industrial gas turbines but also for defense-related jet engines. At the Korea Institute of Materials Science, extensive research has been carried out to develop alloys tailored to different conditions. Recently, a Re-free single-crystal superalloy was developed that exhibits superior creep resistance compared to conventional Re-containing alloys, even outperforming TMS-1700, the world-class Re-free alloy developed at NIMS, Japan. Optimization studies toward commercialization are ongoing, contributing to the national goal of self-reliance in extreme high-temperature materials.
연안개발은 항만 건설, 매립, 준설, 해상풍력 단지 조성 등 여러 형태로 이루어지며, 이 과정에서 수질과 생태계 가 크게 변할 수 있다. 우리나라는 이러한 영향을 관리하기 위해 「해양이용영향평가법」을 운영하고 있지만, 현재 분기 별 또는 반기별 사업규모와 환경변수에 따라 5정점에서 20정점 실측만을 의무화하고 있다. 위성원격탐사의 공간분포 및 관측 주기에서 오는 장점에도 불구하고, 주로 구조물 위치와 공정 현황을 확인하는 수준에서만 위성영상이 사용되고 있으며, 실제 수질과 생태계의 변화를 평가하는 데 활용되는 경우는 전무하다. 본 연구는 위성 원격탐사가 해양이용영향평가에 더 폭넓게 활용될 수 있는 가능성을 재평가하였다. 구체적으로, GOCI-II, Sentinel-2, Landsat, PlanetScope 등 다양한 위성 자료를 이용하여 탁도, 클로로필-a, 적조 지표, 잘피와 같은 중요 연안서식지의 변화를 모니터링할 수 있는 가능성을 모색하였으며, 공사 전과 후를 비교하여 개발로 인한 변화를 정량적으로 파악할 수 있는 방법을 제안하였다. 이와 같은 위성 기반 모니터링을 현장조사와 함께 활용할 경우 해양환경 변화를 보다 넓은 시공간 범위에 걸쳐 관찰할 수 있을 것이며, 이로써 향후 연안개발의 영향 평가를 보다 객관적으로 수행하고 정책적 의사결정에 중요하게 기여할 것으로 기대된다
To investigate the temperature-dependent development of Spodoptera litura, experiments were conducted at five constant temperatures: 15, 20, 25, 30, and 35±1°C, with 60±5% relative humidity and a light/dark cycle of 16L : 8D. Daily observations were made of the egg, larval, pupal, and adult stages. The total developmental periods recorded were 182.0 days at 15°C, 78.2 days at 20°C, 46.2 days at 25°C, 34.3 days at 30°C, and 30.0 days at 35°C, indicating that higher temperatures accelerate development across the egg, larval, and pupal stages. Linear model analysis estimated the lower developmental threshold and thermal constant for the total immature period to be 11.0°C and 714.3 degree-days (DD), respectively. Nonlinear models provided estimates for the optimal developmental temperatures for the total period: 35.3°C for the Briere 1 model, 35.4°C for the Briere 2 model, 34.5°C for the Lactin 1 model, 33.8°C for the Lactin 2 model, 35.3°C for the Taylor model, and 34.2°C for the Logan6 model. Additionally, the developmental completion distribution was effectively described by a 3-parameter Weibull function, achieving a goodness of fit (R 2) of 0.81. Adult longevity was longest at 20°C, averaging 23.5 days for males and 21.0 days for females, while the shortest longevity was observed at 30°C, with males living an average of 10.2 days and females 9.7 days.
Arsenic, a common metalloid contaminant in soil, can enter the terrestrial food chain through plant uptake. While soil arsenic contamination can lead to long-term exposure that affects multiple generations, the multigenerational impacts on terrestrial plantherbivore systems remain poorly understood. This study examined the effects of soil arsenate (As(V)) transferred to pepper plants on Myzus persicae over three generations (F0-F2). We measured adult body length (AL), development time (DT), and offspring body length (OL) of M. persicae after rearing them on peppers cultivated in soil treated with four concentrations (0, 2, 4, and 6 mg kg-1) of As(V). In the F0 generation, the As(V) treatment significantly affected AL and DT (p<0.05), but no significant effect on OL was detected (p= 0.83). In the F1 and F2 generations, however, significant differences between treatments were observed in OL (p<0.05), along with AL and DT. Notably, in the F0 generation, As(V)- exposed individuals exhibited consistently stimulated growth and development, while responses became inconsistent in the F1 and F2 generations across various treatment conditions. These findings suggest that the effects of As(V) on M. persicae through multigenerational exposure are more complex than those observed within a single generation. This study highlights the importance of multigenerational approaches to accurately assess the ecological impacts of soil As(V) contamination on terrestrial ecosystems.
Soybean (Glycine max L.) is a crucial global crop, serving as a significant source of protein and oil. However, its productivity is increasingly at risk due to climate change, particularly from drought stress. While conventional breeding has successfully identified and crossed drought-tolerant genotypes like DT2008 and slow-wilting lines, these efforts face challenges such as lengthy breeding cycles, strong environmental influences, and limited yield improvements. Molecular techniques, including genome-wide association studies, quantitative trait locus mapping, and marker-assisted selection, have enhanced the efficiency of identifying and selecting beneficial traits. Nevertheless, drought tolerance remains a complex polygenic trait. Biotechnology advancements introduce new possibilities; for instance, genetic modification has incorporated drought-responsive genes like AtDREB1A, codA, and GmNAC to improve survival, osmoprotection, and root development under water stress. Additionally, genome editing tools such as CRISPR/Cas9 allow for precise modifications of key loci and may enjoy greater public acceptance than traditional GM crops. Notable successes, such as the TN16-520R1 cultivar, which combines drought and herbicide tolerance, highlight the potential of integrating these technologies. Accurate evaluation methods are critical, with laboratory assays offering physiological insights, greenhouse experiments assessing gene function, and field trials confirming performance in real-world conditions. Future advancements in soybean breeding for drought tolerance will rely on integrating these complementary screening methods into high-throughput phenotyping pipelines to expedite the breeding process. In summary, improving soybean drought tolerance demands a synergistic approach that merges traditional diversity-based breeding with cutting-edge molecular techniques and genome editing. Key priorities include discovering functional genes, implementing precision phenotyping in field settings, and developing integrated breeding pipelines that simultaneously address drought and other stresses, such as heat and disease. This strategy aims to produce resilient cultivars capable of maintaining soybean productivity in the face of climate change.
This pilot study aimed to develop a novel type of functional dietary management food for individuals with diabetes, utilizing a soup and bread format, and to evaluate its postprandial glycemic response and consumer acceptability. Two types of soup and bread meals—tomato vegetable soup and curry chicken soup—were formulated using chickpeas and low-fat meat and were compared with a commercially available diabetic management meal. In a randomized crossover design, 15 participants consumed one of three meals (experimental or commercial diabetic meal) on separate days. Blood glucose levels were measured at 0, 30, 60, and 120 minutes post-meal. Experimental meals showed stable glycemic responses evidenced by decreased Area Under the Curve (AUC) (Tomato 12839.0±1432.8, Curry 12683.0±1408.4) compared to commercial meals (15485.0±1870.5, p<0.05). Sensory evaluation revealed moderate acceptability, and subjective hunger, satiety, and food cravings were also assessed, but showed no significant differences among three types of meal. Although limited by the small sample size and short intervention duration, these findings provide preliminary evidence supporting the feasibility of tailored meal solutions for metabolic conditions. Further large-scale, long-term studies are warranted to validate these outcomes and optimize product development for diverse populations.