Biliary strictures arise from diverse benign and malignant etiologies, and accurate differentiation is pivotal for prognosis and treatment selection. Conventional endoscopic retrograde cholangiopancreatography (ERCP)-based sampling (brush cytology and forceps biopsy) suffers from limited sensitivity despite high specificity, leaving a substantial proportion as indeterminate biliary strictures. Peroral cholangioscopy (POCS) enables direct intraductal visualization and targeted biopsies, thereby enhancing diagnostic yield. This review summarizes technological evolution from fiber-optic mother–baby systems to digital single-operator cholangioscopy and direct POCS, as well as the integration of image-enhanced endoscopy and emerging widechannel scopes. Visual criteria for malignancy—tumor vessels, irregular granular or papillary/villous patterns, and friability—achieve high sensitivity and interobserver reliability with proposed classifications (Monaco, Mendoza). For cholangiocarcinoma, POCS-guided mapping biopsies precisely assess longitudinal intraepithelial tumor spread, informing R0 surgical planning. Randomized trials indicate higher or at least comparable sensitivity of POCS-guided biopsies relative to ERCP sampling, while novel forceps and larger working channels increase specimen size and reduce the number of biopsies. Artificial intelligence (AI) applied to POCS images shows promise for real-time risk stratification and improved targeting. Therapeutically, POCS guides intraductal lithotripsy with high clearance rates, and facilitates management in surgically altered anatomy in concert with endoscopic ultrasound-guided biliary drainage or transendosonographically/ guided created route procedure. Adverse events, chiefly pancreatitis and cholangitis, warrant attention to intraductal pressure control and CO2 insufflation. POCS has established an essential role in the diagnostic algorithm for biliary strictures; future advances will likely come from enhanced imaging, AI assistance, and next-generation digital cholangioscopes with larger biopsy devices.

This study proposes a dynamic evaluation framework for diagnosing signal control adequacy using high-resolution Automated Traffic Signal Performance Measures (ATSPM) data. Traditional signal performance assessments have primarily relied on aggregated metrics, such as average delay and volume-to-capacity ratio, which are effective for evaluating overall operational efficiency but insufficient for capturing cycle-level control limitations and temporal variability. Although split failure-based measures, including the Split Failure Ratio (SFR), provide more direct insights into green time adequacy, most existing applications focus on the failure frequency within a fixed analysis period. To address this limitation, this study introduces a Dynamic Operational Strain (DOS) index that extends the split failure into a time-evolving state variable incorporating accumulation and recovery mechanisms. By modeling the recursive evolution of the operational strain, the proposed framework captures how often failures occur and how they persist or dissipate over time. Phase-level DOS measures are subsequently aggregated at the intersection level to derive a priority score reflecting structural control inadequacy. The framework is further applied to classify intersections using DOS–SFR quadrant analysis, enabling the identification of distinct operational patterns, such as persistent oversaturation, localized phase imbalance, intermittent strain accumulation, and stable control conditions. The results demonstrate that intersections with similar SFR values may exhibit substantially different temporal strain structures, highlighting the importance of a dynamic state-based evaluation. The proposed approach provides a diagnostic foundation for data-driven signal re-timing and future adaptive control strategies by shifting the signal performance assessment from static frequency-based measures to dynamic structural adequacy analysis.

Background: Shoulder pain, a common reason for seeking physical therapy (PT), may arise from the cervical spine or shoulder. Symptom localization (SL), is a systematic process to determine the source of symptoms through provocation/ alleviation testing. Objectives: To illustrate the clinical application of the SL sequence in a patient with shoulder pain. Design: A retrospective case report. Methods: A 29-year-old, female presented to PT with a 6-month history of right anterolateral shoulder pain that began after leaning on her arm while driving. Symptoms were aggravated with overhead movement and alleviated by external support. A thorough history/medical screening was performed. The SL examination sequence included: regional localization, structural localization, and confirmation testing. Results: The shoulder was identified as the source of symptoms (supraspinatus muscle-tendon unit). Prognosis was good secondary to the absence of underlying comorbidities and the ability to manually and positionally alleviate symptoms. Intervention included a combination of manual therapy (functional massage and joint mobilization) and neuromuscular re-education (gravity reduced training progressed to resisted exercises). Conclusion: This case provides an in-context example of SL to determine the source of symptoms, allowing for the implementation of a phased treatment approach, and return to prior level of function.

Recently, changes in the electric vehicle transition policy have necessitated improved user acceptance by securing the competitiveness of electric vehicles over internal combustion engine vehicles. In particular, the importance of reliable condition diagnosis technology to prevent safety accidents such as battery pack fires has been receiving significant attention. However, lithium-ion battery packs, primarily used in domestic electric vehicles, require the development of battery pack health diagnosis technology that considers real-world driving characteristics, such as high energy density and irregular and incomplete charge/discharge patterns. This study utilized OBD-II data from 100 real-world electric vehicles to extract health indicators for assessing battery pack aging over time using IC curves. Using IC curves during charging, the most stable environment during real-world driving, key factors associated with battery pack aging were identified. The IC curves confirmed that aging increased with mileage from 30,000 km to 260,000 km, demonstrating the potential for developing integrated aging maps for the same vehicle model. Furthermore, this study is considered a practical tool for immediate condition assessment of electric vehicles without the need for additional equipment.

With advancements in high-resolution scanners and high-performance computers, the use of whole slide imaging (WSI) in digital pathology has increased. WSI scans glass slides and stores them in digital format, making them immune to damage or discoloration, and enabling remote pathology review and peer review. Additionally, with the development of artificial intelligence, research using deep learning models in pathology has become more widespread. In this study, the You Only Look Once (YOLO)v8 model was used to train artificial intelligence to detect apoptotic bodies commonly observed in rodent livers. A total of 1,558 rat liver images containing apoptotic bodies were collected and followed by labeling and data augmentation using flipping and rotation techniques to expand the dataset to 3,738 images. The dataset was then divided into training, validation, and test sets to develop and evaluate a model for object recognition. The training was conducted with an epoch set to 300. The YOLOv8 model detected apoptotic bodies with a mean average precision at 50% value of 0.882. Although the model’s accuracy for detecting individual apoptotic bodies may not seem extremely high, it is important to note that the size of apoptotic bodies is very small compared to hepatocytes, making them harder to detect. However, the model’s overall performance is expected to improves significantly with a larger dataset. The YOLOv8 model successfully detected apoptotic bodies with high accuracy. This can help reduce the workload of toxicologic pathologists and decrease the time and cost involved in pathology review. Furthermore, with an increased dataset, even higher accuracy can be expected in the future.

The purpose of this study is to develop and implement a customized AI-based speaking diagnosis, learning, and assessment system, SpeakMaster, in order to overcome the lack of systematic evaluation and practice opportunities in school English speaking class. This system integrates automated speaking scoring to provide students with feedback on their speaking abilities across pronunciation, conversation, and presentation. This study adopts a design-based research methodology, demonstrating the development and implementation process. 1,451 students and eight teachers in elementary, middle, and high schools participated in the experiment. Data were collected through learning logs, teacher journals, interviews, and post-surveys. The findings indicate that the system design is appropriate for English class, promoting students’ flow in engaging speaking practice. Students showed motivation and satisfaction while teachers found the system valuable for monitoring student progress and facilitating speaking assessments. Despite the challenges of improving chatbot performance and enhancing scoring reliability, the results suggest that SpeakMaster shows potential to enhance English speaking education.

From 2017 to 2024, we surveyed 43 diverse aquatic habitats in South Korea, leading to the identification of 18 cyanobacterial taxa that are newly recorded for the country, found across eight sites (about 18% of the surveyed locations). These taxa exhibit a wide range of morphological forms, including unicellular, colonial, filamentous, and heterocytous types, and belong to various orders such as Chroococcales, Synechococcales, Nostocales, and Stigonematales. Notably, this study provides a provisional record of Gomphosphaeria aponina in Korea, correcting its previous misidentification as G. natans. We also documented Dolichospermum compactum, a species that has been genetically reclassified. Additionally, we identified species with the potential to cause harmful algal blooms (HABs), such as Microcystis botrys and Gloeotrichia aurantiaca, which are crucial for domestic water quality monitoring. Currently, only 414 cyanobacterial taxa are recorded in Korea, representing less than 8% of the estimated global total of approximately 5,300 species. This significant gap underscores the considerable unrecorded diversity within Korean aquatic ecosystems. These findings substantially enhance the national cyanobacterial checklist and underscore the need for ongoing monitoring in understudied aquatic environments. They also highlight the importance of integrating classical morphological and ecological observations with advanced molecular methods. This polyphasic approach can accurately detect cryptic diversity and support robust ecological assessments. Overall, this comprehensive floristic expansion offers valuable baseline data for biodiversity inventories, ecological monitoring, and the development of microbial resources within Korean aquatic environments.

This study addresses the increasing damage to national heritage due to climate change by analyzing the current use of terms that describe deterioration damage phenomena in wooden architectural heritage, and proposes a framework for defining and systematizing these terms. The research found that inconsistencies in the use of terms for the same deterioration damage phenomena and unclear definitions in regular heritage survey and monitoring reports cause confusion in data analysis and accumulation. Consequently, this study followed ISO 704 and KS standards to understand the relational system of terms, proposing a hierarchical structure with "deterioration damage" as the top concept and systematically organizing its sub-concepts. Specific terms such as "crack," and the Korean-originated terms "Gallem" and "Apgoe", were analyzed to establish clear definitions and build a system based on their conceptual properties. The study is expected to enhance the effectiveness of heritage conservation and management, ensure consistency in terminology usage among researchers, and support the establishment of data-based scientific conservation policies. Future research will focus on developing practical standardization strategies for deterioration damage terminology through in-depth discussions with field experts and conducting long-term national-level studies.

A 48-year-old woman visited the oral and maxillofacial surgery department complaining of swelling under the left mandible. The patient said that the size of the small lump had not changed much since it was first discovered, but it seemed to have grown slightly recently after 5 years. She visited another hospital 1 week ago and had a CT scan, but no specific findings were found. A firm and mobile mass was palpated in the submandibular gland area during clinical examination. Ultrasound imaging and contrast-enhanced CT were performed, and the patient was diagnosed with pleomorphic adenoma. Submandibular gland resection was performed, and the mass was confirmed as pleomorphic adenoma by histopathological examination. There has been no recurrence to date, 8 years later. In this study, we will examine the diagnostic process of a rare submandibular gland pleomorphic adenoma and review the literature.

A new spider species of the genus Pholcus Walckenaer, 1805, Pholcus osaek sp. nov., in the family Pholcidae C.L. Koch, 1850, is described from Korea. This new species belongs to phungiformes-group in the genus. It can be distinguished from its congeners by the shape and structure of genital organs of both males and females. It is found on and between rock walls in mountainous mixed forests. Additionally, the taxonomic status of Pholcus uksuensis Kim & Ye, 2014 is revalidated, re-diagnosed, and redescribed based on specimens collected from the type locality. Considering differences mentioned in the diagnosis through revalidation, P. uksuensis is regarded as a distinct species. Therefore, it should be removed from the synonymy of P. woongil Huber, 2011.

본 연구는 사과 ‘홍로’의 생육 시기별 품질 변화를 분석하여 숙기를 진단하기 위한 최적 수확 지표를 선정하고, 기계 수확 이 가능한 사과 ‘홍로’의 품질 기준을 설정하고자 수행되었다. 전라북도 완주군에 위치한 국립원예특작과학원에서 재배된 7년생 사과 ‘홍로’ 품종을 대상으로 2021년부터 2023년까지 만개 후 58－59일(6월 상순)부터 수확 시기가 지난 만개 후 164－173일(9월 하순)까지 10일 간격으로 과실 품질을 조사 하였다. 또한 완주군, 화성시, 포천시에서 수집된 품질 데이터 를 활용하여 지역별 ‘홍로’ 품질 변화를 분석하였다. 과중은 생육이 진전됨에 따라 증가하다가 수확기 직전 250－320g 범 위에 도달했다. 경도와 산도는 생육이 진전되면서 감소했고, 가용성 고형물 함량은 증가하다가 12－14°Brix 에서 더 이상 증가하지 않는 경향을 나타냈다. 또한 당산비는 생육이 진전 될수록 증가하여 수확기에는 50 이상으로 증가했다. 색도 L* 값과 b*값은 증가하다가 수확기에는 급격하게 감소했으며, a* 값은 수확기에 급격히 증가하였다. 전분 함량은 생육 후반부 에 급격히 감소하여 수확기에는 20mg·g-1 이하로 낮아졌다. 전분 함량과 과실 특성들 간의 상관분석을 한 결과, 경도와 산도가 각각 0.86과 0.84로 높은 상관성을 나타냈다. 따라서 경 도와 산도를 최적 수확 지표로 선정하였으며, 수확 가능 최소 품질 범위는 경도 39.7±6.4N, 산도 0.255±0.052%, 가용성 고 형물 함량 13.6±1.3°Brix, 색도 a*값 14.7±12.8로 설정하였 다. 이 기준과 함께 회귀 계수가 높은 비파괴 조사항목인 종경, 횡경, 색도a*값을 활용한다면 기계 수확뿐만 아니라 재배자 에게도 유용한 정보를 제공하여 수확 시기를 최적화시킬 수 있을 것으로 기대한다.

Automotive technology has developed rapidly and is becoming the intensive of cutting edge technology. For this reason, Automotive are used not only as a means of transportation, but also as a private and leisure spaces. The driver wants to keep quiet even if the car is used for a long time. NVH should be reduced because it is caused by mechanical defects and aging. In this study, it was presented that a seven-step procedure for failure diagnosis and repair to reduce noise/vibration. NVH was diagnosed by comparing the result of the rotator order tracking analysis with the problem frequency. It was possible to accurately analyze the cause of noise and vibration, also it coud identify the location, and repair that.

Two spider species of the genus Pholcus Walckenaer, 1805, Pholcus muju sp. nov. and Pholcus yeongheung sp. nov. in the family Pholcidae C. L. Koch, 1850 are newly described from Korea. These two new species belonging to phungiformes-group in the genus can be distinguished from their congeners by the shape and structure of genital organs of both males and females. They are found on rock walls in mountainous mixed forests. This work provides diagnoses, detailed descriptions, and taxonomic photographs for these new species.

본 연구는 자연치유 진단을 위한 대상자의 간호 진단 중재를 적용한 사례 연구로, 대상자의 치유 과정을 이해하고 지원하기 위한 접근 방식이다. NANDA(North American Nursing Diagnosis Association, 북미간호진단 협회)의 간호 진단 분류 체계를 기반으로 한 간호 과정을 수행하고 평가하는 시스템을 통해 자연치유를 선택하는 대상자들의 건강을 돕고자 하였다. 이 사례를 통해 자연치유 진단, 자연치유 수행, 결과, 평가까지 도출하는 과정을 서술적 보고 형식으로 제시하였다. 연구 대상자가 겪고 있는 건강 문제인 불 안에 대해 주관적 및 객관적인 사정 자료를 통해 파생된 건강 문제들을 간 호 진단, 요인 분석, 대상자의 행동 특성 등으로 분류하고, 중재 목표를 설 정하였다. 목표에 대한 결과를 도출하기 위한 중재 요법으로, 몸의 관절 가 동 범위를 넓혀주는 원심도와 싱잉볼 이완 요법을 간호 중재로 선택하여 긍 정적인 결과를 도출하였으며, 이는 앞으로 유사한 환자들에게도 적용할 수 있는 모델이 될 수 있다고 사료된다. 향후 다양한 질환 군에 대한 간호 체계 분류를 적용한 자연치유 중재 효과에 대한 양적 연구의 확대와 장기적인 자 연치유 과정과 그 결과를 평가하기 위한 후속 연구가 필요하다고 보여진다.