Current Evaluation Criteria Research Articles

Tumor response assessment in hepatocellular carcinoma treated with immunotherapy: imaging biomarkers for clinical decision-making.

To compare the performance of 1D and 3D tumor response assessment for predicting median overall survival (mOS) in patients who underwent immunotherapy for hepatocellular carcinoma (HCC). Patients with HCC who underwent immunotherapy between 2017 and 2023 and received multi-phasic contrast-enhanced MRIs pre- and post-treatment were included in this retrospective study. Tumor response was measured using 1D, RECIST 1.1, and mRECIST, and 3D, volumetric, and percentage quantitative EASL (vqEASL and %qEASL). Patients were grouped into disease control vs progression and responders vs non-responders. Kaplan-Meier curves analyzed with log-rank tests assessed the predictive value for mOS. Cox regression modeling evaluated the association of clinical baseline parameters with mOS. This study included 37 patients (mean age, 69.1 years [SD, 8.0]; 33 men). The mOS was 16.9 months. 3D vqEASL and %qEASL successfully stratified patients into disease control and progression (vqEASL: HR 0.21, CI: 0.55-0.08, p < 0.001; %qEASL: HR 0.18, CI: 0.83-0.04, p = 0.013), as well as responder and nonresponder (vqEASL: HR 0.25, CI: 0.08-0.74, p = 0.007; %qEASL: HR 0.17, CI: 0.04-0.72, p = 0.007) for predicting mOS. The 1D criteria, mRECIST stratified into disease control and progression only (HR 0.24, CI: 0.65-0.09, p = 0.002), and RECIST 1.1 showed no predictive value in either stratification. Multivariate Cox regression identified alpha-fetoprotein > 500 ng/mL as a predictor for poor mOS (p = 0.04). The 3D quantitative enhancement-based response assessment tool qEASL can predict overall survival in patients undergoing immunotherapy for HCC and could identify non-responders. Using 3D quantitative enhancement-based tumor response criteria (qEASL), radiologists' predictions of tumor response in patients undergoing immunotherapy for HCC can be further improved. MRI-based tumor response criteria predict immunotherapy survival benefits in HCC patients. 3D tumor response assessment methods surpass current evaluation criteria in predicting overall survival during HCC immunotherapy. Enhancement-based 3D tumor response criteria are robust prognosticators of survival for HCC patients on immunotherapy.

Advances in Bioadhesive Hydrogels for Musculoskeletal Tissue Application

AbstractThe musculoskeletal system, which is responsible for weight‐bearing, movement, and organ protection, faces many disorders arising from injuries, diseases, and trauma that affect millions of people worldwide, resulting in a decreased quality of life and socioeconomic burden. Tissue engineering is at the forefront of current research on tissue regeneration and demonstrates great potential for musculoskeletal tissue repair. Among the numerous grafts available, adhesive hydrogels have demonstrated potential for tissue applications. Despite the surge in the development of bioadhesive hydrogel formulations in recent years, the absence of an evaluation protocol for their formulation has led to the emergence of numerous similar products that do not fully meet the clinical requirements for applicability in musculoskeletal tissue regeneration. This review aims to address this gap by first discussing the design considerations for an ideal bioadhesive hydrogel relevant to successful musculoskeletal tissue repair. By thoroughly reviewing recent research advances in bioadhesive hydrogels, with a particular focus on their applications in facilitating musculoskeletal tissue repair, improvements are proposed in the current evaluation criteria for the development of novel bioadhesive hydrogels for musculoskeletal tissue applications, and several key challenges and research directions for their implementation are summarized.

A Comprehensive Evaluation Algorithm of Multi-Point Relay Based on Link-State Awareness for UANETs.

The Multi-Point Relay (MPR) is one of the core technologies for Optimizing Link State Routing (OLSR) protocols, offering significant advantages in reducing network overhead, enhancing throughput, maintaining network scalability, and adaptability. However, due to the restriction that only MPR nodes can forward control messages in the network, the current evaluation criteria for selecting MPR nodes are relatively limited, making it challenging to flexibly choose MPR nodes based on current link states in dynamic networks. Therefore, the selection of MPR nodes is crucial in dynamic networks. To address issues such as unstable links, poor transmission accuracy, and lack of real-time performance caused by mobility in dynamic networks, we propose a comprehensive evaluation algorithm of MPR based on link-state awareness. This algorithm defines five state evaluation parameters from the perspectives of node mobility and load. Subsequently, we use the entropy weight method to determine weight coefficients and employing the method of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for comprehensive evaluation to select MPR nodes. Finally, the Comprehensive Evaluation based on Link-state awareness of OLSR (CEL-OLSR) protocol is proposed, and simulated experiments are conducted using NS-3. The results indicate that, compared to PM-OLSR, ML-OLSR, LD-OLSR, and OLSR, CEL-OLSR significantly improves network performance in terms of packet delivery rate, average end-to-end delay, network throughput, and control overhead.

Optimal granularity selection based on algorithm stability with application to attribute reduction in rough set theory

Optimal granularity selection is a key issue in rough set, by which decision rules can be generated to assign corresponding decision labels for new samples. The current evaluation criteria of optimal granularity mainly focus on the experimental effect of prediction algorithms, thus ignoring the theoretical relationship between granularity and the generalization ability of algorithms. In this paper, we study the issue overlooked above and propose a novel framework for optimal granularity selection with theoretical guarantee. In our framework, a rough set-based prediction algorithm that incorporates a global confidence as scoring function is introduced, which is characterized by the granularity-based loss function. On the bias, the relationship between granularity and the generalization ability of algorithm is studied by introducing the stability theory in machine learning. The generalization error bound of algorithm is derived as a theoretical guarantee for optimal granularity selection. Finally, a novel optimal granularity selection strategy with theoretical guarantee is proposed, which is combined with existing attribute reduction methods to design the attribute re-reduction algorithms for generate optimal granularity by reducing the relatively unimportant attributes. Numerical experiments verify the rationality of optimal granularity selection framework and prove the effectiveness of the optimal granularity generated by the attribute re-reduction algorithms.

베트남 대학기관평가인증 제도 및 평가준거의 변화와 시사점

This study aims to introduce the evolution of Vietnam's institutional evaluation and accreditation system and the current evaluation criteria. Accordingly, this study examines the overall development of Vietnam's institutional evaluation and accreditation system and summarizes the evaluation criteria. Vietnam began to pay attention to the quality of higher education in the 2000s. In 2003, the Vietnam Education Quality Review and Evaluation Agency was established by the Ministry of Education. In 2004, the Interim Regulations on Accreditation and Evaluation of Higher Education Institutions were issued, and for the first time, Vietnam started its own accreditation and evaluation of higher education institutions. In 2005, the Education Law was amended to provide a legal basis for accreditation, and in 2007, official regulations were issued to replace the 2004 interim regulations, providing a solid legal foundation. In 2013, the Center for University Assessment and Accreditation was established under Hanoi National University. In 2017, the Center completely changed the evaluation indicators used until now, replacing them with new ones based on the evaluation indicators of the ASEAN University Network (AUN). Based on these findings, we outline recommendations for higher education in Vietnam and implications for higher education in Korea.

Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

Hunting stability is a critical aspect of the dynamic performance of high-speed trains. However, the current evaluation criteria only address heavy hunting motion, and they require supplementation and improvement to meet the increasing requirements of dynamic performance. Therefore, a study was conducted to develop an identification method for small-amplitude bogie hunting (SABH) motion. A total of 39,816 samples were obtained from field-measured bogie lateral acceleration and manually labelled as normal and SABH. The distribution comparison, Pierce coefficient, and importance ranking showed that harmonic character-related features (the autocorrelation coefficient, approximate entropy and etc.) should be considered more for SABH identification than amplitude-related features (maximum and RMS). The most critical features for SABH identification were the autocorrelation coefficient and spectral frequency spread. The classifier performance comparison showed that the decision tree was the best-performing classifier, followed by the support vector machine, while the linear discriminant, K-nearest neighbour, and naive Bayes classifiers were less effective. Sensitivity analysis indicated that the proposed method worked well with a sampling frequency of 50–200 Hz and a window length of 5–10 s. This research provides theoretical support for hunting instability monitoring and real-time active control studies for high-speed trains.

Progress of research on evaluation indicators and standards about high-speed train comfort

The rapid development of high-speed railway in China has proposed higher requests for the comfort level of high-speed trains. However, there is no internationally unified evaluation criterion for high-speed train comfort currently, which therefore substantially affects the comparability and standardization of research results for high-speed train comfort. This paper systematically reviews the research literature about evaluation indicators and standards related to high-speed train comfort, and finds that there is currently no unified definition, evaluation indicators, as well as evaluation criterion for high-speed train comfort. Most current evaluation criteria are based on a single indicator. Some indicators are simultaneously developed by different apartments and differ between each other, and there is no comprehensive indicator or criteria for high-speed train comfort, restricting the comparison of high-speed train comfort across regions. It is recommended that the administrative department of high-speed railroad in China should organize experts to establish a unified definition of high-speed train comfort, comprehensive evaluation indicators and relevant judgment criteria for high-speed train comfort, in face of the rapid development and globalization of high-speed trains.

Business intelligence and analytics: The case of human resource management decisions

This case is designed to illustrate the conceptual foundations of business intelligence (BI) and business analytics (BA); thus, analysts can develop an understanding of how to utilize the BI &amp; BA framework to make proper decisions in human resource recruitment. The case starts when Roger, the HR General Manager of Ford Motor Company Thailand, and his team decided to develop a BI-based integrated Team Leader Recruitment System for not only selecting the right candidates for the job but developing them into great team leaders for Ford production line as well. The team started discussing its current evaluation criteria, such as the score from its production system exam, the results of a case study and roleplay exam, and the final interview score, and then dove into more factors that helped create insights into the value of Ford employees. Employee Lifetime Value (ELTV) was then introduced, along with some other factors such as IQ and EQ scores and Myers Briggs Psychological Type Indicator (MBTI) scores. Finally, the team developed a BI dashboard that gathered all relevant factors to evaluate its final five candidates: Tom, James, Andy, Jonas, and Tony. The dashboard also displayed each candidate’s individual KPIs and the departmental and corporate KPIs they contributed to. Indexes measuring the candidate’s job satisfaction, workplace culture, and leadership and teamwork skills were also included as important factors for selecting the right candidates.

The Packaging Index (PIX) - a proposed methodology for packaging assessment and comparison

The use of packaging and the related environmental consequences are increasingly under discussion. Despite its advantages, packaging has become the focus of public concern, mainly due to insufficient or inadequate handling of packaging waste. There is plenty of research regarding the sustainability of packaging options; however, multiple quantifiable characteristics have never been combined into a single indicator. The proposed Packaging Index (PIX) offers a tool to evaluate and compare different packaging options for the same product. To achieve these goals, the current evaluation criteria for the PIX are i) packaging quantity, ii) recyclability, and iii) environmental footprint. The resulting assessment is displayed as best to worst case scenario, with a single score for simple comparison. Using life cycle thinking, the environmental footprint of the packaging is accounted from cradle-to-grave. The suggested visualization of the PIX represents a practical comparison of diverse packaging alternatives within a defined product group. In the illustrative example, the PIX serves as an instrument to compare available bags found commonly in German online-retail. This example also shows that the PIX can analyze the packaging value chain from diverse industries and contributes to the circular economy. The usability of the PIX extends from communication (such as customer relations) to other fields like internal supply chain optimization. Lastly, we present the communication strategy of the PIX aimed at two different user groups.

A study of restructuring the current evaluation criteria for textbook adoption from the perspective of subject-matter education

목적 본 연구에서는 교과교육 관점에서 교과서의 질적 개선을 위한 지침으로 활용될 수 있는 교과 변환 평가 기준을 제시함으로써 현행 ‘교과목별 검&#8901;인정 기준’을 재구조화 하는 것을 목표로 한다. 방법 이를 위하여 기존의 교과서 개발 모형 이론 및 현행 국가 수준의 교과서 검&#8901;인정 기준의 내용을 분석하고 새로운 교과서 검&#8901;인정 기준을 확립하였다. 결과 본 연구에서는 교과 내용 변환의 일반적인 기준뿐만 아니라 교과 내용의 질적 변환을 검증하는데 유용한 범교과 변환 평가 기준을 교과교육 지식의 전문성을 나타내는 PCK의 개념을 토대로 PCK의 다섯 가지 구성요소, ‘교육과정지식,’ ‘교과내용지식,’ ‘교수법지식,’ ‘학습자지식,’ ‘교육환경지식’을 평가 척도로 확립하여 제시하였다. 본 연구에서 제시하는 교과교육 관점의 범교과 변환 평가 기준은 기존의 ‘교과목별 검&#8901;인정 기준’의 단점을 보완하기 위하여 ‘교과내용지식’ 심사영역에 ‘간략화 완성도,’ ‘교수법지식’ 심사영역에 ‘교수보조자료의 적합성,’ 학습자지식 심사영역에 ‘동기부여,’ ‘교육환경지식’ 심사영역에 ‘편집 기능의 우수성’이라는 새로운 심사항목을 각각 추가하여 제시하였다. 결론 본 연구의 범교과 변환 평가 기준은 교과 내용의 질적 우수성 및 현장 중심의 실천적 지식을 반영하는 보다 타당도 높은 교과 변환 준거를 확립함으로써 현행 교과서 검&#8901;인정 기준의 질적 개선에 기여할 것으로 기대된다.

27641 Achieving remission of relapsing polychondritis: A case series observing diagnostic and therapeutic approaches

Introduction: Relapsing polychondritis (RP) is a rare autoimmune condition characterized by recurrent cartilaginous inflammation. Though auricular and nasal structures are most commonly affected, laryngotracheal and cardiovascular involvement may lead to fatal complications. Due to multisystem disease, diagnosis is challenging and a standard therapeutic regimen is not established. We aim to discuss current evaluation criteria and propose a therapeutic ladder.

Mobile Patient Monitoring Systems from a Benchmarking Aspect: Challenges, Open Issues and Recommended Solutions.

This paper presents comprehensive insights into mobile patient monitoring systems (MPMSs) from evaluation and benchmarking aspects on the basis of two critical directions. The current evaluation criteria of MPMSs based on the architectural components of MPMSs and possible solutions are discussed. This review highlights four serious issues, namely, multiple evaluation criteria, criterion importance, unmeasurable criteria and data variation, in MPMS benchmarking. Multicriteria decision-making (MCDM) analysis techniques are proposed as effective solutions to solve these issues from a methodological aspect. This methodological aspect involves a framework for benchmarking MPMSs on the basis of MCDM to rank available MPMSs and select a suitable one. The benchmarking framework is discussed in four steps. Firstly, pre-processing and identification procedures are presented. Secondly, the procedure of weight calculation based on the best-worst method (BWM) is described. Thirdly, the development of a benchmark framework by using the VIKOR method is introduced. Lastly, the proposed framework is validated.

Insights of object proposal evaluation

Object proposal aims to locate category-independent objects in a given image with a limited number of object candidates indicated by bounding boxes, which can be served as a fundamental of various multimedia applications. Current evaluation criteria based on recall cannot reveal the real abilities of different object proposal methods in objectness measurement. In this paper, we propose a novel object proposal evaluation criterion instead of recall, named objectness measurement ability (OMA). We first analyze the probability to hit an object by non-repetitive random sampling (HPRS), and provide an algorithm for calculating HPRS efficiently. Based on HPRS, we define OMA and extend three commonly used object proposal evaluation criteria by replacing recall with OMA. We evaluated six typical object proposal methods using recall based criteria and OMA based criteria on the test data of PASCAL VOC 2007 and PASCAL VOC 2012. The experimental results show that OMA based criteria can provide more stable evaluation results than recall based ones in revealing objectness measurement ability.

Marine drag reduction of shark skin inspired riblet surfaces

Abstract Shark skin inspired riblet surfaces have been known to have drag reduction effect for the over past 40 years. It first drew the attention from the aircraft industry. With the property of low drag and self-cleaning (antifouling), shark skin inspired riblet surfaces can also be used on navigation objects. In this paper, different marine drag reduction technologies are discussed, and a review of riblet performance studies is also given. Experimental parameters include riblet geometry, continuous and segmented configurations, fluid velocity (laminar and turbulent flow), fluid viscosity (water, oil and gas), and wettability are analyzed. However, force is obtained by area-weighted integral of shear stress distributions. So area of riblet surfaces is a crucial factor which has not been considered in many previous studies. An experiment is given to discuss the impact of area. This paper aims not only to contribute to a better understanding of marine drag reduction, but also to offer new perspectives to improve the current evaluation criteria of riblet drag reduction.

Clinical research progress of acupuncture-moxibustion for chronic urticaria

To learn the current research status of acupuncture-moxibustion in treating chronic urticaria, the relevant clinical reports indexed by CNKI and VIP databases during 2000 and 2012 were retrieved, and then summarized and analyzed from the aspects of treatment method, acupoint selection, medicine, treatment frequency, and criteria of therapeutic efficacy, for guiding the treatment of chronic urticaria with acupuncture-moxibustion. The results show that acupuncture-moxibustion therapy has stable therapeutic efficacy in treating chronic urticaria with low adverse reaction rate, but the current evaluation criteria are too subjective to quantify.

Project impact in a multi-level context

&#x0D; &#x0D; &#x0D; An important growing trend is reliance on temporary organisations and mechanisms such as projects. Projects have been increasingly used in all kinds of organisations, including public sector organisations, and are widely considered as effective and precise management tools. The extent to which current evaluations are able to measure their perceived impact is, however, unclear. Are project evaluations conducted in such a way that the long-term effect of – in this case the EU fisheries policy – can be assessed, and to what extent are the contribu- tions or added value of projects as a form of organizing assessed in the evaluations? The article draws on programme theory to analyse the evaluation criteria used for European Fisheries Fund projects in Finland. The article concludes that a potential mismatch between operational logic between the evaluation system and the project logic exists. It also shows that there is a connection between decisions made to fund projects and the actions that they produce, but that a clear causal relationship measurement of project impact is difficult to establish using current evaluation criteria.&#x0D; &#x0D; &#x0D;

Guideline for maxillofacial impairment rating of trigeminal nerve damage in the Korean

The trigeminal nerve, one of the cranial nerves, innervates the maxillofacial area and has three branches: the ophthalmic, maxillary, and mandibular nerves. Paresthesia, due to damages to the inferior alveolar nerve and mental nerve (branches of the mandibular nerve), is quite frequent in dental implants and third molar extractions. As medical disputes are increasing, it is necessary to formulate an objective and reasonable disability evaluation. When evaluating the frequent rate of impairment for inferior alveolar nerve damage, it may be reasonable to follow the criteria for the rate of maxillofacial impairment of the American Association of Oral and Maxillofacial Surgeons (AAOMS) - the most scientific and reputable criteria based on the American Medical Association (AMA). Therefore, the Committee of Guides for Maxillofacial Impairment Ratings, in the Korean Association of Oral and Maxillofacial Surgeons (KAOMS), is trying to suggest more reasonable and realistic guidelines for evaluating impairments by reviewing the current evaluation criteria and those of AMA and AAOMS.

Current evaluation criteria for carpal tunnel syndrome and cubital tunnel syndrome

腕管综合征与肘管综合征是周围神经卡压中最常见的疾病,近年来报道日渐增多.在这些临床报道中由于疗效评定的方法各异,很难对各种治疗方法做出客观、科学、全面的评定,能否制定结合国情的统一标准是本文的目的,供全国同道讨论.