Multifaceted Evaluation Research Articles

비대면 수업환경에서 대학생의 자기주도학습능력에 대한 요구분석

This study aims to analyze the self-directed learning abilities recognized by university students that are needed in a non-face-to-face class environment and to derive a plan to create an environment and conditions for students to demonstrate the self-directed learning ability. To do so, an online survey of university students in the region of Gangwon-do using questionnaires to measure their self-directed learning abilities from the perspective of the learning process was conducted. The responses of 357 students were analyzed using a paired-sample t-test, Borich needs assessment model, and the Locus for Focus Model. As a result, it was found that those students had a top priority for the ability to identify learning resources and manage learning in a non-face-to-face class environment. Next, it was confirmed that the students had a second-priority for choosing a learning strategy and attributing results to effort. Based on the analysis results, the study suggests the needs for support for learning spaces and smart devices, vitalization of online learning communities, provision of open learning resources, introduction of multifaceted evaluation methods, and support for individualized learning through online learning spaces, for students to demonstrate self-directed learning abilities in a non-face-to-face class environment.

Critical success factors and implementation strategies for B2B electronic procurement systems in the travel industry

研究目的基于 Internet 的企业对企业电子采购（B2B 电子采购）系统正迅速成为旅行和旅游业中组织间交易以及产品和服务交付的主要平台。 因此, 本研究的目的是调查旅行社供应链中 B2B 电子采购系统的关键成功因素 (CSF) 和实施策略。研究设计/方法/途径本研究开发了一个多方面的评估框架, 该框架借鉴了相关文献和技术-组织-环境框架。 采用混合标准决策 (MCDM) 方法确定了采用 B2B 电子采购的 CSF。 采用有目的的抽样方式, 共从台湾零售旅行社获得49份有效问卷。研究发现结果显示, 排名前四的 CSF 是系统稳定性、系统可靠性、销售动态和产品线可用性。 通过关注这些 CSF, 旅游批发商可以最有效地分配其有限资源, 为其客户提供范围广泛的产品和服务, 改善电子采购服务, 并加强旅行社供应链中的组织间协作。研究原创性/价值本研究开发了一个多方面的评估框架, 并确定了四个 CSF, 以协助在旅行社供应链中采用 B2B 电子采购系统。

A Strategic Study on Improving the Professional Core Quality of Primary and Secondary School English teachers

This paper first introduces the system structure of English teachers' professional core literacy, and then analyzes the importance of improving professional core literacy. To meet the needs of improving the core literacy of English teachers, this paper puts forward a variety of strategies, including extensive reading of professional data, collective discussion by teachers, optimization of teaching methods according to the situation of students, construction of a multi-faceted English teaching evaluation system and integration of teaching and research on the core literacy of English teachers. It is hoped that these strategies can contribute to the reform and development of English education and help English teachers to continuously improve their professional core qualities.

On the Current Teacher Evaluation System in China Analysis Based on Compulsory Education Stage

As a kind of value judgment activity, teacher evaluation provides development impetus for teachers’ professional development, guides teachers’ development direction and expands teachers’ professional development path through the functions of encouragement, diagnosis and guidance of evaluation. At this stage, the teacher evaluation system in China’s compulsory education stage has evolved into a multifaceted, multi-angled and developmental evaluation system compared with the previous single, performance-oriented, award-and-punishment evaluation method. But at the same time, there are some defects, such as neglecting the stage of teacher development, valuing the quantity and quality, neglecting the delay of education effect, and valuing the form of evaluation and neglecting the feedback of evaluation. This paper analyses the advantages and disadvantages of the teacher evaluation system in the current stage of compulsory education in China, and the corresponding solutions are proposed. The teacher evaluation system in the compulsory education stage has reference value for teachers’ self-reflection and development to a certain extent. However, the evaluation system also has the disadvantages of neglecting teachers’ self-evaluation, imprecise and unscientific evaluation and inaccurate purpose and positioning, which hinder teachers’ ability and development. In order to bring the role of teacher evaluation in promoting teacher development into full play, people should respect the laws of teacher development stages, combine formative evaluation and summative evaluation, evaluate teachers from multiple dimensions, and the government will provide more financial assistance to improve the teacher development environment. Schools should attach importance to the role of teacher evaluation and feedback.

Multifaceted Evaluation of Double Inversion Recovery Brain MRI in Detection of Cervical Spine Multiple Sclerosis Lesions (P11-3.002)

<h3>Objective:</h3> To quantitatively study the efficacy of Brain Double Inversion Recovery (DIR) MRI for the detection of cervical spinal cord lesions in Multiple Sclerosis (MS) patients using blinded readings as well as contrast to noise ratios (C/N). <h3>Background:</h3> DIR is a well-established MRI pulse sequence for detection of cerebral cortical and juxtacortical MS lesions. Since the superior half of the cervical cord is visible on sagittally acquired volumetric DIR of the brain, we investigated the efficacy of Brain MRI for detecting upper spinal cord of MS patients. <h3>Design/Methods:</h3> We retrospectively examined the MRI of the brain of 64 patients with established MS, who had also undergone cervical spine MRI. Two blinded MS expert readers, who assessed the scans for lesion numbers and rated lesion visibility and overall image quality, reviewed brain 3D DIR sagittal and coronal images. Official cervical spine study reports were used as the “gold standard” in this analysis. Additionally, standardized Mean contrast-to-noise ratios (C/N) and standard deviation (S.D.) were calculated in representative lesions for each patient and compared to those of 3D brain FLAIR images. <h3>Results:</h3> The sensitivity of brain DIR was found to be 87% and specificity was found to 61% when all “definite” lesions were included. When considering both “probable” and “definite” lesions, the sensitivity increased to 91% and specificity decreased to 54%. Contrast to noise ratio of brain DIR lesions was significantly higher compared to brain FLAIR lesions (7.56 +/−1.77 vs. 0.67+/−1.27). <h3>Conclusions:</h3> Sagittally acquired volumetric Brain DIR can provide useful information on cervical spinal cord lesions, with high C/N. In some cases, this should facilitate the attainment of the MRI components of McDonald’s diagnostic criteria without a dedicated cervical spine study. <b>Disclosure:</b> Mr. Patel has nothing to disclose. Marina Creed has nothing to disclose. Dr. Gershon has nothing to disclose. The institution of Dr. Wolansky has received research support from Guerbet. Dr. Imitola has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Novartis . The institution of Dr. Imitola has received research support from biogen. Dr. Imitola has a non-compensated relationship as a Board Member with National MS Society that is relevant to AAN interests or activities. Dr. Imitola has a non-compensated relationship as a Committee Member with International Society for Stem Cell Research that is relevant to AAN interests or activities.

Sustainability Reporting in Energy Companies—Is There a Link between Social Disclosures, the Experience and Market Value?

As a result of the dissemination of the sustainability concept, social disclosures have become an important area of non-financial reporting, and the energy sector is no exception. The purpose of our article is a multi-faceted evaluation of sustainability reports published by companies operating in the Polish energy sector, from the perspective of social disclosures. The study involved the Polish listed companies that made up the WIG-Energia index. The time scope of the study covers the 2017–2021 period. In total, 54 non-financial reports were analyzed. In the first place, a comparative analysis was carried out to assess the social disclosures made by the WIG-Energia companies against the background of the biggest and the most liquid (blue chip) WIG20 companies. All the applied tools: ESG rating, NFR_S index, and multidimensional data visualization, have confirmed that the energy companies year by year have been presenting larger and larger extents of social disclosures. At the same time, it was observed that the companies appearing for the first time in the WIG-Energia index showed a very small extent of disclosures, whereas the companies which figured in the index throughout the studied period presented a relatively large extent of disclosures, due to their experience in preparing sustainability reports. Next, using the Pearson correlation coefficient (r), we examined the relationship between the energy companies’ market values and the extent of their social disclosures. The results of the statistical analyses have validated the strong and very strong correlation between capitalization and extent of disclosures. It is therefore possible to state that companies with higher market values are characterized by larger extents of social disclosures.

A Multifaceted Evaluation Approach for Greek Native Neglected and Underutilized Forest Fruit Trees and Shrubs as Natural Sources of Antioxidants: Consolidating the Framework for Their Sustainable Agronomic Exploitation.

Fruits from wild forest trees and shrubs represent a natural source of antioxidants against oxidative stress and a growing market for novel minor crops. This study presents a multifaceted approach which sets the basis for sustainable agronomic exploitation of selected Greek native germplasm of four traditional but neglected and underutilized forest fruit trees and shrubs, namely Amelanchier ovalis Medik., Cornus mas L., Rosa canina L., and Sambucus nigra L. The studied plant species are traditionally used in Greek ethnobotany but are currently neglected and underutilized in commercial terms, thus characterized as neglected and underutilized plant species (NUPs). The investigation includes new information on the evaluation of the ex situ cultivation of the Greek germplasm (three of the four focal NUPs), thus supplementing respective full datasets for their comparative evaluation based on four evaluation axes (documentation and molecular authentication of genotypes, phytochemical evaluation, asexual propagation via rooting of cuttings, and ex situ cultivation) after multi-year and multifaceted groundwork data previously acquired. Consecutively, the work includes feasibility and readiness timescale evaluation for the sustainable exploitation of each focal species based on existing literature and extant research experience. The feasibility for sustainable exploitation and readiness timescale evaluation results were very encouraging, showing high exploitation feasibility with an already achieved readiness timescale for R. canina and S. nigra, whereas C. mas and A. ovalis showed an achievable readiness in the short term. The comparative evaluation of the Greek native focal NUPs outlined the excellent potential of R. canina, S. nigra, and A. ovalis, and the high potential of C. mas. The results herein illustrate the very high fruit antioxidant potential (free radical scavenging activity) of all focal species, the diverse but effective asexual propagation capacity via cuttings at the species level, and summarize the results of a pilot cultivation trial set up in 2020 (still ongoing) outlining tree growth rates and the onset of fruit production among genotypes and species. Overall, the meta-analysis of previously published data in conjunction with new data generated herein may serve the sustainable exploitation of the studied NUPs.

Evaluation and adoption of artificial intelligence in the retail industry

PurposeThe introduction of artificial intelligence (AI) technology has had a substantial influence on the retail industry. However, AI adoption entails considerable responsibilities and risks for senior managers. In this study, the authors developed an evaluation and selection mechanism for successful AI technology adoption in the retail industry. The multifaceted measurement and identification of critical factors (CFs) can enable retailers to adopt AI technology effectively and maintain a sustainable competitive advantage.Design/methodology/approachThe evaluation and adoption of organisational AI technology involve multifaceted decision-making for management. Therefore, the authors used the analytic network process to develop an AI evaluation framework for calculating the weight and importance of each consideration. An expert questionnaire survey was distributed to senior retail managers and 17 valid responses were obtained. Finally, the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method was used to identify CFs for AI adoption.FindingsThe results revealed five CFs for AI adoption in the retail industry. The findings indicated that after AI adoption, top retail management is most concerned with factors pertaining to business performance and minor concerned about the internal system's functional efficiency. Retailers pay more attention to technology and organisation context, which are matters under the retailers' control, than to external uncontrollable environmental factors.Originality/valueThe authors developed an evaluation framework and identified CFs for AI technology adoption in the retail industry. In terms of practical application, the results of this study can help AI service providers understand the CFs of retailers when adopting AI. Moreover, retailers can use the proposed multifaceted evaluation framework to guide their adoption of AI technology.

Nimbus: Towards Latency-Energy Efficient Task Offloading for AR Services

Widespread adoption of mobile augmented reality (AR) and virtual reality (VR) applications depends on their smoothness and immersiveness. Modern AR applications applying computationally intensive computer vision algorithms can burden today's mobile devices, and cause high energy consumption and/or poor performance. To tackle this challenge, it is possible to offload part of the computation to nearby devices at the edge. However, this calls for smart task placement strategies in order to efficiently use the resources of the edge infrastructure. In this paper, we introduce Nimbus --- a task placement and offloading solution for a multi-tier, edge-cloud infrastructure where deep learning tasks are extracted from the AR application pipeline and offloaded to nearby GPU-powered edge devices. Our aim is to minimize the latency experienced by end-users and the energy costs on mobile devices. Our multifaceted evaluation, based on benchmarked performance of AR tasks, shows the efficacy of our solution. Overall, Nimbus reduces the task latency by ~4x and the energy consumption by ~77% for real-time object detection in AR applications. We also benchmark three variants of our offloading algorithm, disclosing the trade-off of centralized versus distributed execution.

Vascular flora near the iron fences in South Korea’s demilitarized zone

The demilitarized zone (DMZ), a military buffer zone between South and North Korea, is an ecological treasury free from human interference and a core ecological axis of the Korean Peninsula, making its conservation crucial. However, surveys have been insufficient because of restricted civilian access and ecosystem fragmentation. We aimed to investigate the ecological value of the DMZ and the regional characteristics of plants. A flora survey was conducted along the iron fences in the South Korean DMZ and analyzed by region. We recorded 1,051 vascular plant taxa comprising 121 families, 484 genera, 936 species, 25 subspecies, 81 varieties, and 9 formae. The region requires habitat protection because of the presence of 36 rare and 38 endemic taxa, and 35 floristic target species of Stage IV or higher. Invasive alien plants require further monitoring because 89 invasive taxa were recorded. Changes in military facilities or barren land operations can threaten habitats or create habitat edges. Biological resources, including plants, should be monitored for a multifaceted evaluation of the DMZ ecosystem value. Habitat restoration research and conservation activities should be conducted by establishing an environmental database linking environmental conditions with native plant habitats.

Multifaceted Evaluation of Antibiotic Therapy as a Factor Associated with Candidemia in Non-Neutropenic Patients.

We aimed to evaluate various aspects of antibiotic therapy as factors associated with candidemia in non-neutropenic patients. A retrospective, matched, case-control study was conducted in two teaching hospitals. Patients with candidemia (cases) were compared to patients without candidemia (controls), matched by age, intensive care unit admission, duration of hospitalization, and type of surgery. Logistic regression analyses were performed to identify factors associated with candidemia. A total of 246 patients were included in the study. Of 123 candidemia patients, 36% had catheter-related bloodstream infections (CRBSIs). Independent factors in the whole population included immunosuppression (adjusted odds ratio [aOR] = 2.195; p = 0.036), total parenteral nutrition (aOR = 3.642; p < 0.001), and anti-methicillin-resistant S. aureus (MRSA) therapy for ≥11 days (aOR = 5.151; p = 0.004). The antibiotic factor in the non-CRBSI population was anti-pseudomonal beta-lactam treatment duration of ≥3 days (aOR = 5.260; p = 0.008). The antibiotic factors in the CRBSI population included anti-MRSA therapy for ≥11 days (aOR = 10.031; p = 0.019). Antimicrobial stewardship that reduces exposure to these antibacterial spectra could help prevent the development of candidemia.

A Sustainable Method for Evaluating the Activity of Logistics Service Providers (LSPs) in a Turbulent Environment—Case Study Analysis (2020–2021)

As a result of the COVID-19 pandemic, the ongoing war and the implementation of the so-called Mobility Package there are profound changes taking place in the Polish LSP sector. The competitive struggle on the market is intensifying, and it mobilizes the management to diagnose the condition of companies with the use of effective comparative tools. This article aims to present the conclusions of the study of 46 entities on the Polish LSP market. It uses an original, multi-faceted evaluation method. The authors hope to popularize this method for evaluating LSPs by making it cyclical. The comparative evaluation of LSPs was carried out with the use of economic (index) and statistical analysis tools. A model of rank correlation was used for the values of all variables (ten economic parameters and one greening parameter). LSPs were grouped up based on the average value of the economic variables and according to investment attractiveness and then clustered. Sets of the most correlated characteristics in the assessment of the LSPs were developed based on the k-means method and the Spearman coefficient. A collective ranking of LSPs has been prepared.

The development of tourism in the Historical Silver Mine and the groundwater management system in Tarnowskie Góry - a case study of mining heritage tourism

This article presents the values of the Silesian mining heritage in the context of accessibility of the Zabytkowa Kopalnia Srebra (Historical Silver Mine) in the Tarnowskie Góry. Simultaneously, this is the largest, best-preserved and accessible historicallead-silver mine in Poland with its unique, integrated historical groundwater management system of drainage adits and a potable water supply network. In this area, industrial heritage is now becoming a precious touristic and cultural value in and of itself. The scope of the article includes the characterization of all objects added to the UNESCO World Heritage List, the description of ground and underground tourist trails and the history of their accessibility. Not all underground workings have been included into the tourist trail, due to their preservation conditions, accessibility and mine safety measures. The paper also presentsa multi-faceted evaluation of the accessibility to all objects of mining heritage, including sites that are currently inaccessible, but still have the potential for tourism development.

A multifaceted evaluation of microgliosis and differential cellular dysregulations of mTOR signaling with fluctuating lysosome function in neuronopathic Gaucher disease

A multifaceted evaluation of microgliosis and differential cellular dysregulations of mTOR signaling with fluctuating lysosome function in neuronopathic Gaucher disease

Potential and limitations of crowdsourced data for high-resolution rice mapping in Madagascar: The importance of representation

Given the projected population growth and rice consumption in Madagascar, assessing its rice production potential is important. Existing spatial representations of rice are characterized by coarse resolutions and diverge widely. Mapping rice production based on remote sensing offers a potential solution to this problem but its application in Sub-Saharan Africa is hindered by scarce ground truth data and a complex array of cropping systems. While crowdsourcing initiatives provide data that could in principle be used to overcome this hurdle, their usefulness in rice mapping is hitherto underexplored. Here, we investigate the usefulness of crowdsourced data to enhance the mapping of rice production areas in the data-poor context of Madagascar. At present, dedicated crowdsourcing initiatives only limitedly cover rice but do provide sufficient information to build a dataset of data points characterizing a No-Rice class. On the other hand, geotagged pictures from social media, which do document rice production areas, predominantly represent 'scenic' fields appealing to social media contributors, i.e. irrigated, intensive rice production systems. The archetypal nature of these data leads to distinct feature signatures. Consequently, these data could be successfully used for rice mapping in the Lake Alaotra basin, which is characterized by the type of intensive rice cropping that is well-represented by the crowdsourced data. However, it was not possible to construct an accurate map of rice production in the greater Antananarivo region or at the national scale using crowdsourced data as they do not sufficiently represent the present variety in rice production systems. The value of crowdsourced data thus depends on the representativeness of the data, which in turn depends on the application and can be improved through applying a probabilistic sampling design. Our study also highlights the need for data representation checks prior to data augmentation or classification for future applications wanting to construct credible maps using crowdsourcing within their sampling design for which we present a multi-faceted evaluation framework.

KRiPTO PARA VE PARANIN FONKSİYONLARI

It goes without saying that cryptocurrency is a technologically advanced type of electronic currency that came into our lives in 2009, but still not up to scratch. When you take into account particularly the last two decades of the course, its place in money markets is subject to critical evaluations, while the awareness of cryptocurrency becomes ubiquitous. One of the main intriguing points to be dug out at this point is the extent to which cryptocurrency meet the functions of money. In the study, how extent the cryptocurrency types meet the functions of money is sought to dig out. Besides, the operability of the functions of money in the cryptocurrency is pinpointed with a multifaceted evaluation. Cryptocurrency and blockchain technology, which are clearly summarized with the aforementioned approach, are considered within the scope of today's usage areas. Within the scope of study, which also includes the advantages of cryptocurrency and blockchain technology, the possible usage areas and possible developments of cryptocurrencies in the following period are also highlighted, and their relationship with the functions of money is established.

Ubjective evaluation of noise generated in a dental environment and comparison of sound insulation effects of noise cancelling earphones

Purpose: Various devices such as dental handpieces, ultrasonic scalers, and aspirators exist in the dental clinic, and they generate noise with high decibel levels in a complex way. Through this study, we survey the discomfort and hearing changes on patients and dental staff, and compare and analyze the sound insulation effect of each noise cancelling product for vari-ous noises.Materials and Methods: This study is a multi-faceted evaluation of noise generated in the dental treatment. First, patients and dental staffs were surveyed through the Gallup Korea Research Institute. Afterwards, subjective evaluations of various noise cancelling earphones for dental noises were conducted by VAS scales.Results: In this study, more than 50% of patients, dentists, and dental hygienists feel uncomfortable about dental noise, and more than 70% of the respondents say that they had interrupted in communication due to noise. In both the dentist and non-dentist groups, when noise-cancelling earphones were used for high-speed and low-speed handpieces and suction noise, a decrease in VAS value was confirmed. Regarding the scaler noise, the increase or decrease of the VAS value was different depending on the products.Conclusion: The results of this study indicate that noise generated in a dental treatment can cause emotional discomfort to both patients and dental staff, and both are aware of the possibility of hearing impairment. And it is necessary to consider the sound isolation device optimized for each noise.

Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022

As Information Retrieval (IR) researchers, we not only develop algorithmic solutions to hard problems, but we also insist on a proper, multifaceted evaluation of ideas. The IR literature on the fundamental topic of retrieval and ranking, for instance, has a rich history of studying the effectiveness of indexes, retrieval algorithms, and complex machine learning rankers and, at the same time, quantifying their computational costs, from creation and training to application and inference. This is evidenced, for example, by more than a decade of research on efficient training and inference of large decision forest models in Learning to Rank (LtR). As we move towards even more complex, deep learning models in a wide range of applications, questions on efficiency have once again become relevant with renewed urgency. Indeed, efficiency is no longer limited to time- and space-efficiency; instead it has found new, challenging dimensions that stretch to resource-, sample- and energy-efficiency with ramifications for researchers, users, and the environment. As a step towards bringing together experts from industry and academia and creating a forum for a critical discussion and the promotion of efficiency in the era of Neural Information Retrieval (NIR), we held the ReNeuIR workshop on July 15 th , 2022 as a hybrid event---in person in Madrid, Spain along with online attendees---in conjunction with ACM SIGIR 2022. Recognizing the importance of this topic, approximately 80 participants answered our call and attended the workshop over three sessions. The event included a total of two keynotes and eight paper presentations, and concluded with a lively discussion where participants helped identify gaps in existing research and brainstormed future research directions. We had consensus in recognizing that efficiency is not simply latency, that a holistic, concrete definition of efficiency is needed to guide researchers and reviewers alike, and that more research is necessary in the development of efficiency-centered evaluation metrics and standard benchmark datasets, platforms, and tools. Date: 15 July, 2022. Website: https://ReNeuIR.org.

A multi-faceted evaluation of the impact on students of an Australian university-wide academic language development program

In response to the ongoing need to support all students’ academic language development throughout their university studies, the academic language and learning team at an Australian university has established the Academic Language Development (ALD) program. This program screens all commencing students at the university and offers an innovative whole-of-institution approach to discipline-specific language development. The purpose of this paper is to report on a large-scale, long-term and multi-faceted evaluation of the ALD program, considering the impact of attending compulsory language development tutorials on 3922 students, the majority of whom were L2 users of English. Surveys have been carried out and data collected on academic language development, academic outcomes, student perceptions of their confidence, and other gains from attending the tutorials. A particular focus of this analysis is on the affective aspects of language development. In addition to developing academic language proficiency, the findings show that students benefited in multiple ways from the ALD program. Key themes emerged from the data around confidence, agency, and social connections, as well as a greater ability to navigate the university landscape. This paper offers an innovative approach to the evaluation of language programs that will be relevant to those teaching and researching linguistically diverse cohorts across faculties in higher education.

Multifaceted evaluation of tenebenal as a new termite insecticide

Multifaceted evaluation of tenebenal as a new termite insecticide