Comprehensive Criteria Research Articles

A Safety Distance Warning Method for Transmission Lines Based on the Relationship Between Approach Angle and Field Strength

To prevent construction machinery from intruding into the transmission corridor, a distance early warning method based on the relationship between the approach angle and the electric field strength is proposed. First, use the simulation analysis to determine the installation position of the electric field sensor. Then, the relationship between the approach angle and the electric field strength at the minimum safe distance outside the transmission line for different voltage levels, number of loops, and loop arrangement are analyzed, and the approach angle and electric field strength are used as comprehensive criteria. Finally, the relationship between the comprehensive criteria of various types of transmission lines is analyzed. Through the method proposed in this paper, an effective control method can be provided for maintaining the minimum safe distance when the construction machinery works near the transmission line.

Зависимость показателей эксплуатационных свойств азотированных сталей от структурного состояния поверхностного слоя

The results of structural and tribological studies of steels and alloys of pearlite, martensitic and austenitic classes using dif-ferent types of pretreatment and nitriding modes are presented. The results of tribological tests and metallophysical studies made it possible to evaluate the effectiveness of each of used treatment methods and to identify the characteristics of the structural state of the nitrided layer, contributing to an increase in the operational properties of steels in friction and wear conditions. A comprehensive physical and mechanical criterion has been developed to evaluate friction components nitrid-ing efficiency.

Method for calculation indicators steganographic systems in multiservice communication networks

An analysis of the performance indicators multiservice telecommunication networks using the sixth technological order based on the NGN (Next Generation Network) architectural concept and future FN (Future Networks) networks was carried out to build high-performance steganographic systems with increased covert channels throughput, ensuring the achievement of a certain level information security. Comprehensive criteria for the efficiency the functioning steganographic systems are considered and the channel capacity of the steganosystem as a communication system with packet switching is selected. On the basis of the study, a new approach to constructing a method for evaluating complex indicators of the quality of steganographic communication during embedding and extracting hidden data is proposed. The quality of steganographic communication refers to the properties stegano communication to ensure the efficiency of the system, both timely and reliable transmission of messages. On the basis of the proposed approach, the effectiveness steganographic systems in the construction of covert channels for the transmission secret data transmitted over communication channels was studied. Taking into account the new entropy approach, a method for calculating the indicators of the latent throughput steganographic systems in packet-switched communication networks has been created. As a result of the study calculation method, important analytical expressions were obtained for evaluating complex indicators throughput steganographic systems, such as the throughput of covert channels, the maximum possible value of the performance of a binary source packets, the average packet transmission time with the proposed coding scheme, and the residual throughput of the communication channel.

Madrasah Accreditation Assistance at MTs Rodhatul Jannah, Palangka Raya

Accreditation carried out by the government for madrasah isa form of public accountability carried out in an objective,fair, transparent, and comprehensive manner usinginstruments and criteria that refer to the National EducationStandards. This assistance aims to provide understanding tothe madrasah community in filling out and fulfillingMadrasah Accreditation to Improve the Quality of Educationat MTs Rodhatul Jannah, Palangka Raya. This assistance usesthe Participatory Rural Appraisal (PRA) technique. Theresults of assistance are carried out through activities; 1).Equalization of Perceptions about the importance ofaccreditation for improving the quality of madrasas, 2)Preparation of accreditation. The impact of mentoringactivities shows a positive direction, where there is a changein the mindset of the assisted subject related to madrasahaccreditation and an increase in the capacity of the madrasacommunity as evidenced by their success in filling out andcompleting the madrasah accreditation instrument.

Self-Management Program in Adults with Colorectal Cancer: A Pilot Study

Objective: To design and validate a nursing intervention and its effect on improving self-management behaviors in patients with colorectal cancer following surgery within eight weeks after discharge. Method: Pilot study using Sidane and Braden’s intervention design proposal, which included determining the guiding theoretical model, characterization of the intervention, validation with eight experts through content validity, and a pilot test with ten patients during the second semester of 2020. Results: The intervention obtained, called the Program for Self-Management Training in Colorectal Cancer (PEACCR, by its acronym in Spanish), is based on the theory of individual and family self-management in the dimensions proposed by Ryan and Sawin. The validity with experts indicates that it meets the criteria of clarity, precision, comprehension, relevance, and pertinence. The pilot reports an increase in self-management behaviors and the dimensions of knowledge, coping, and health personnel-patient alliance in months 1 and 2, with statistical significance. Conclusions: The designed and validated intervention increases the self-management behaviors of patients with colorectal cancer. The proposed scheme is highly acceptable to participants.

Self-Management Program in Adults with Colorectal Cancer: A Pilot Study

Objective: To design and validate a nursing intervention and its effect on improving self-management behaviors in patients with colorectal cancer following surgery within eight weeks after discharge. Method: Pilot study using Sidane and Braden’s intervention design proposal, which included determining the guiding theoretical model, characterization of the intervention, validation with eight experts through content validity, and a pilot test with ten patients during the second semester of 2020. Results: The intervention obtained, called the Program for Self-Management Training in Colorectal Cancer (PEACCR, by its acronym in Spanish), is based on the theory of individual and family self-management in the dimensions proposed by Ryan and Sawin. The validity with experts indicates that it meets the criteria of clarity, precision, comprehension, relevance, and pertinence. The pilot reports an increase in self-management behaviors and the dimensions of knowledge, coping, and health personnel-patient alliance in months 1 and 2, with statistical significance. Conclusions: The designed and validated intervention increases the self-management behaviors of patients with colorectal cancer. The proposed scheme is highly acceptable to participants.

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.

Association of IgG4-related disease and systemic rheumatic disorders

PurposeAutoimmune disorders can occur together especially in genetically predisposed individuals. We here aimed to assess the occurrence of IgG4-related disease (IgG4-RD) in association with other systemic immune-mediated conditions. MethodsWe retrospectively analyzed the clinical records of patients with IgG4-RD followed at the IgG4-RD Clinic of San Raffaele Hospital (Milan, Italy) for pre-existing or concomitant immune-mediated disorders. IgG4-RD was diagnosed based on histological findings and on the 2011 Comprehensive Diagnostic criteria. Associated immune-mediated disorders were diagnosed based on available classification and/or diagnostic criteria. ResultsTwo-hundred and thirty-four patients with a definitive diagnosis of IgG4-RD were included in this study. A pre-existing immune-mediated connective tissue disease was reported in 6/234 patients (3%): one case each of sarcoidosis, Takayasu arteritis (TA), eosinophilic granulomatosis with polyangitis (EGPA), and rheumatoid arthritis; and two cases of granulomatosis with polyangitis (GPA). Organs involved by IgG4-RD included the lungs, the pancreas, the peritoneum, lacrimal glands, meninges and orbits. Sarcoidosis, EGPA, and TA preceded the onset of IgG4-RD. GPA preceded IgG4-RD onset in one case and occurred simultaneously in the other case. Rheumatoid arthritis occurred together with IgG4-RD in one case. ConclusionOur observation suggests that “secondary” IgG4-RD can present in the context of pre-existing systemic immune-mediated disorders and complicate systemic autoimmune diseases as well as chronic granulomatous conditions. Further studies are needed to define whether this peculiar clinical scenario is associated with different genetic backgrounds, pathological bases, and long-term outcomes.

REFER: Randomized Online Factor Selection Framework for portfolio Management

Portfolio management is a critical problem in both machine learning and finance communities. To predict the returns of assets, existing studies have been leveraging side information to mine price-sensitive indicators, i.e., factors. However, with the brisk expansion of factor collection, existing factor selection methods face two main issues, i.e., high-cost and low-precision. In this paper, we first formalize the task of online factor selection as an online learning problem where a learner selects a set of factors in each round and aims to minimize the long-term regret. Then, we propose a Randomized onlinE Factor sElection fRamework, named REFER, which not only is particularly devised to address the above two issues, but also can widely serve for any existing multifactor models. Specifically, by studying the regret of existing factor-selecting policies, we propose two randomized policies along with their bandit variants that achieve sublinear regrets. The bandit variants further improve computational efficiency, and achieve a balanced trade-off between cost and precision. Finally, both theoretical analysis and extensive experiments on the real-world dataset demonstrate the effectiveness of our proposed framework and policies in terms of comprehensive evaluation criteria.

Critical Criteria and Countermeasures for Mobile Health Developers to Ensure Mobile Health Privacy and Security: Mixed Methods Study.

Despite the importance of the privacy and confidentiality of patients' information, mobile health (mHealth) apps can raise the risk of violating users' privacy and confidentiality. Research has shown that many apps provide an insecure infrastructure and that security is not a priority for developers. This study aims to develop and validate a comprehensive tool to be considered by developers for assessing the security and privacy of mHealth apps. A literature search was performed to identify papers on app development, and those papers reporting criteria for the security and privacy of mHealth were assessed. The criteria were extracted using content analysis and presented to experts. An expert panel was held for determining the categories and subcategories of the criteria according to meaning, repetition, and overlap; impact scores were also measured. Quantitative and qualitative methods were used for validating the criteria. The validity and reliability of the instrument were calculated to present an assessment instrument. The search strategy identified 8190 papers, of which 33 (0.4%) were deemed eligible. A total of 218 criteria were extracted based on the literature search; of these, 119 (54.6%) criteria were removed as duplicates and 10 (4.6%) were deemed irrelevant to the security or privacy of mHealth apps. The remaining 89 (40.8%) criteria were presented to the expert panel. After calculating impact scores, the content validity ratio (CVR), and the content validity index (CVI), 63 (70.8%) criteria were confirmed. The mean CVR and CVI of the instrument were 0.72 and 0.86, respectively. The criteria were grouped into 8 categories: authentication and authorization, access management, security, data storage, integrity, encryption and decryption, privacy, and privacy policy content. The proposed comprehensive criteria can be used as a guide for app designers, developers, and even researchers. The criteria and the countermeasures presented in this study can be considered to improve the privacy and security of mHealth apps before releasing the apps into the market. Regulators are recommended to consider an established standard using such criteria for the accreditation process, since the available self-certification of developers is not reliable enough.

Air-side thermal-hydraulic analysis and parameter optimization for vertical-fin microchannel heat exchanger

The vertical-fin microchannel heat exchanger (VMHX) has efficient thermal-hydraulic performance and favorable drainage performance, which is capable to be utilized in the air source heat pump under wide operating conditions. In this article, CFD is employed to analyze the air-side thermal-hydraulic performance of VMHXs under dry conditions. The model is verified by experimental results with an error of less than 20%. Then, the sequence and connection of wave and louver on composite fins are compared, while the effects of fin pitch, fin length, tube pitch, and fin thickness are investigated. Finally, parameter optimization is conducted by Taguchi method. Results show that under the same pump power, the heat transfer enhancement of the fin with front louver and rear wave connected reversely is the best. When the comprehensive index performance evaluation criteria (PEC) is used as performance evaluation of VMHXs, the tube pitch and fin length are the main factors. Within the range of parameters practically available, the best performance is obtained by the combination of 1.8 mm fin pitch, 25.6 mm fin length, 12.0 mm flat tube pitch, and 0.12 mm fin thickness.

Suitability Analysis of Water Cultural Heritage Structures in Beijing Based on Analytic Hierarchy Process and Geographic Information Systems

As significant physical carriers of hydraulic science and technology, water cultural heritage (WCH) structures might exert positive effects on the economy, society, and environment. However, it is challenging to develop a scientific conservation plan due to the lack of comprehensive cognition and value assessment criteria for the vast majority of WCH structures. In this study, the analytic hierarchy process (AHP) and geographic information systems (GIS) were introduced to develop a multidimensional evaluation system for WCH in Beijing based on the suitability perspective. This approach proposes a strategy covering macro, meso, and micro levels based on three aspects: heritage value, spatial distribution, and environmental resistance. The findings indicated that there are significant differences in values among the nine heritage categories, and royal gardens and rivers were suggested for greater emphasis on protection. Besides, the distribution of WCH structures is clustered, which can be categorized into four distinct agglomerative zones. Most of the heritage sites are found on built-up land with low elevation and gentle slopes, resulting in high environmental suitability. Lastly, we proposed a framework for conservation with “one centre, two wings, one area, and a multi-node” to facilitate the development of effective policies by decision-makers.

A Novel Ladder-Shaped Bridge Finned Tube for Convective Heat Transfer Enhancement

Abstract In order to improve the convective heat transfer efficiency of a shell-and-tube heat exchanger, a novel ladder-shaped bridge finned tube (LBFT) is presented. The LBFT possesses outer low helical integral fins, two layers of staggered transverse bridge, upper passage, middle passage, and bottom passage. The convective heat transfer performance of the LBFT is studied and experimental results show that the Nusselt numbers outside the tube and the overall heat transfer coefficients of the LBFT are significantly greater than those of the smooth tube. The bridges, bridge roots, and pores formed on the outer fins contribute to the larger heat transfer coefficient. Both the Nusselt number and the overall heat transfer coefficient decrease, while the friction resistance coefficient increases with outer helical fin pitch increasing and bridge width increasing. As the Reynolds number increases, the comprehensive performance evaluation criterion (PEC) decreases at first and then increases. The maximum PEC occurs at the Re number of 2300 and is up to 1.34.

Filter pruning with uniqueness mechanism in the frequency domain for efficient neural networks

Filter pruning has drawn extensive attention due to its advantage in reducing computational costs and memory requirements of deep convolutional neural networks. However, most existing methods only prune filters based on their intrinsic properties or spatial feature maps, ignoring the correlation between filters. In this paper, we suggest the correlation is valuable and consider it from a novel view: the frequency domain. Specifically, we first transfer features to the frequency domain by Discrete Cosine Transform (DCT). Then, for each feature map, we compute a uniqueness score, which measures its probability of being replaced by others. This way allows to prune the filters corresponding to the low-uniqueness maps without significant performance degradation. Compared to the methods focusing on intrinsic properties, our proposed method introduces a more comprehensive criterion to prune filters, further improving the network compactness while preserving good performance. In addition, our method is more robust against noise than the spatial ones since the critical clues for pruning are more concentrated after DCT. Experimental results demonstrate the superiority of our method. To be specific, our method outperforms the baseline ResNet-56 by 0.38% on CIFAR-10 while reducing the floating-point operations (FLOPs) by 47.4%. In addition, a consistent improvement can be observed when pruning the baseline ResNet-110: 0.23% performance increase and up to 71% FLOPs drop. Finally, on ImageNet, our method reduces the FLOPs of the baseline ResNet-50 by 48.7% with only 0.32% accuracy loss.

Prediction system of rolling contact fatigue on crossing nose based on support vector regression

It is essential to assess the rolling contact fatigue (RCF) of turnouts and maintain them in advance. It saves a lot of money while protecting the safety of railway operations. In Germany, the damage on rails, especially crossing noses, mainly depends on the subjective judgment of experts. There are no objective and comprehensive evaluation criteria. This paper presents the application of image processing and supervised machine learning algorithms to crossing nose fatigue judgment. The fatigue characteristics of the crossing nose rolling contact surface along the life cycle of the crossing nose are analyzed. The study used crack information from magnetic particle inspection (MPI) images of crossing nose surfaces. It uses basic image processing methods to collect physical information about features of fatigue cracks in images. Existing feature selection methods are used to exclude irrelevant features and retain valuable features. And we select the best feature selection method through the regression results. Statistically significant crack features and combinations that depict the surface fatigue state are found. In this paper, by comparing several usually machine learning regression algorithms, it is found that the supervised learning of support vector machine regression (SVR) has achieved the best results in the regression fitting of the crack feature data in this paper. The regression results form a simple system to evaluate the life cycle of crossing nose. The system finds the location of cracks that can create dangerous defects in the crossing nose surface. The research result consists of the early prediction of rail contact fatigue.

Sustainable supplier selection for prefabricated megaprojects during COVID-19: a novel large group decision-making model

ABSTRACT Prefabrication in construction has broad development prospects owing to its sustainability and strong support from the government. Prefabricated components, as the primary part of prefabrication megaprojects, affect the project completion and performance directly. Therefore, selecting appropriate prefabricated component sustainable suppliers (PCSSs) is a paramount task for the success of prefabricated megaprojects. This study expounds on the characteristics of PCSS selection from three aspects, namely the difference between prefabricated and traditional ones, sustainability requirements, and the impact of COVID-19, and indicates the issues that should be considered when choosing PCSS. An evaluation criterion is extracted and applied to the primary data from 4 PCSSs and 45 decision makers (DMs) of a prefabricated megaproject. Finally, a novel intuitionistic fuzzy large-group decision-making model is proposed. This model considers criterion weights and DM weights, as well as hesitation, ambiguity and consistency. The results indicate that the proposed model has strong robustness and can meet the decision-making needs of different DMs. The model extends the body of knowledge in the context of supply chain disruptions and digital bidding during the COVID-19 pandemic based on its more comprehensive criteria for the PCSS selection and new approaches for the weighting and uncertain evaluation throughout the decision-making process.

Comprehensive use of the Gutenberg–Richter law and geotomography for improving seismic hazard evaluation in hard coal mines

Mining-induced seismicity occurs in numerous underground mines worldwide where extraction is conducted at great depths or in areas characterised by complex tectonic structure. It is accompanied by rock bursts, which result in the loss of working functionality and the possibility of accidents among personnel. The issue of a constant and reliable seismic hazard evaluation is of key significance for both the safety of miners and the stability of production. Research on its improvement is directed at developing new interpretive solutions and methods. The nature of the presented solution is the complex interpretation of seismological data that characterise rock mass seismicity and of underground measurement results in the form of a map presenting the longitudinal wave propagation velocity distribution in the rock surrounding the mined coal seam. The solution was tested in hard coal mines located in the Upper Silesian Coal Basin. The mines are equipped with a modern seismological system enabling the constant monitoring of seismicity together with hazard level evaluation as well as with seismic apparatus for conducting periodic measurements of the seismic wave propagation velocity before the mining face. Comprehensive seismic hazard evaluation criteria were determined based on the obtained results, involving the anomaly of the Gutenberg–Richter law “b” value and the maximum longitudinal seismic wave propagation velocity in the roof rock. The obtained experience and the result validation of this new comprehensive hazard evaluation method confirm its practical usefulness and indicate the directions of improvement for the solution in question.

Tear levels of IL-7, IL-1α, and IL-1β may differentiate between IgG4-related disease and Sjögren's syndrome.

We aim to assess and compare a cytokine and chemokine profile in tears from patients with IgG4-related disease (IgG4-RD) and Sjögren's syndrome (SS), and to see if this profile could aid in differentiating these two diseases. We included 10 patients with IgG4-RD who met the Comprehensive Diagnostic Criteria for IgG4-RD and 17 patients who met the AECG criteria for primary SS. The Schirmer-I test was carried out using two standardized sterile tear strips, which were then immediately frozen at - 86°C until assayed. The tears were extracted from the strips after they had been defrosted using a buffer containing 0.5M NaCl and 0.5% Tween-20. The amounts (pg/ml) of the following cytokines and chemokines were then measured using luminometry: IFN-γ, TNF-α, G-CSF, IL-1-α, IL-1β, IL-4, IL-7, IL-12p40, IL-12p70, IL-13, IL-17A, CCL2, CCL3, CCL4, CCL11, and CXCL10. In the IgG4-RD group, seven patients had lacrimal gland involvement, five had dry eye symptoms, and six had a positive Schirmer-I test. In the SS group, 16 (94.1%) had dry eyes and all had a positive Schirmer-I test. We were able to differentiate between both diseases using levels of IL-7, IL-1α, and IL-1β; in particular, the IL-7/IL-1α and IL-7/IL-1β ratios had the best discriminatory potential, with cut-off values of 0.32 (AUC: 0.93, sensitivity: 94%, specificity: 80%, p = 0.0003) and 12.55 (AUC: 0.96, sensitivity: 94%, specificity: 90%, p = 0.0001), respectively. Our results suggest that IL-7, IL-1α, and IL-1β tear levels could help differentiate IgG4-RD from SS. Key Points • The lacrimal gland is frequently involved in IgG4-RD and SS. This characteristic makes both diseases mimics of one another. • Patients with IgG4-RD and SS have different profiles of tear cytokines and chemokines. • Tear IL-7, IL-1α, and IL-1β levels may serve as helpful biomarkers in separating IgG4-RD from SS.

A multi-criteria group decision-making framework for investment assessment of offshore floating wind-solar-aquaculture project under probabilistic linguistic environment.

The offshore floating wind-solar-aquaculture (WSA) system with its advantages such as strong seakeeping ability, considerable power generation, and full utilization of ocean space and water resources will have a bright prospect in the future. In order to accelerate the sustainable development of the energy industry, it is very important to build a reasonable investment decision-making framework. Therefore, this paper aims to build a multi-criteria group decision-making (MCGDM) framework for investment decision-making of this project. Firstly, a comprehensive criteria system has been established. Secondly, probabilistic language term sets (PLTSs) are introduced to describe the uncertainty and fuzziness of decision information. Thirdly, the expert weight determination model is established based on the correlation measure and correlation coefficient of PLTSs, and the PL-fuzzy decision-making trial and evaluation laboratory (DEMATEL) method and the information entropy method are introduced to determine the subjective and objective weights of the criteria. In addition, considering the decision maker's psychological behavior, we choose probabilistic language the interactive and multiple attribute decision-making (TODIM) method to determine the optimal investment alternative. Finally, we apply the proposed framework to a case study. The results illustrate that the alternative A3 possesses the optimal comprehensive performance with the overall value is 1. Then, we conduct sensitivity analysis and comparative analysis to verify its robustness and feasibility. Scenario analysis in TODIM method showed that it is reasonable to express decision preference by setting different recession coefficients in the actual decision-making environment. This study can provide some reference for decision-makers, and also extend the method of decision-making field.

Resort Economy Business: Disparities in Investment Activity and Development Benefits

The aim and task of the research consists in substantiating the resort economy as a branch; determination of the types of business activity that are part of it; methodical approaches development to identify disparities in investing in the resort sector; recommendations of economic relationships formation to attract investments in business industry. Research methods. The theoretical basis and results of the article are compiled by theoretical generalization and a systematic approach methods to determine the resort economy conceptual basis and essential content and the types of business activities that are part of it. Methodological recommendations are used for evaluating development of the resort economy indicators, which include indicators of economic, social and environmental growth. They are statistical and grapho-analytical methods of displaying results. Methods of randomization and adapted financing methods (mixed, mezzanine, subsidized). The results. Research actualizes the need of the resort economy industry development with existing commercial establishments by social vacation needs in the following areas: physical activity, wellness tourism, mental health, dietetics, traditional and complementary medicine, thermal/mineral wellness, rehabilitation, and cosmetology due to the use of natural healing factors (balneological, mud, climatic and related). The main investment disproportions in resort economy business arose from institutional imperfections, the lack of information resources to reflect the industry and its social significance, the lack of statistical information and its inconsistency, the lack of redistributing financial assistance mechanism from international financial organizations that would meet the conditions of transparency in terms of subsidizing and lending not only state-owned enterprises, but also private ones, depending on the fulfillment of certification requirements and the use of modern protocols for recovery and rehabilitation. In order to overcome the disparities identified and to attract resort economy business investments was proposed transformations in institutional support, economic and ecological control levers to ensure transparent and controlled business. Stimulating investment activity algorithm by economic interrelationships scheme in the resort economy territories was suggested. Conclusions. Business activity planning depends on architectural and infrastructural state support at the resort territories. Resort economy business consists of social needs providing through natural healing assets use in health and rehabilitation. It was determined that investment flows to resort economy business depend on: proper communal infrastructure support, comprehensive technical assessment criteria application of buildings, obtaining certificates for activities, proper equipment and services, namely ISO 21426, ISO 17680. Diversification, modernization and preferences for innovative activities as creating new jobs lever, taking into account ecosystems value in the process of improving the population.