Basis Of Judgment Research Articles

Quantitative magnetic resonance imaging of paraspinal muscles for assessing chronic non-specific low back pain in young adults: a prospective case-control study.

This study aimed to investigate the application of quantitative magnetic resonance imaging of paraspinal muscles in assessing the young CNLBP with unilateral symptom. This prospective study enrolled 107 young individuals with unilateral symptomatic CNLBP (56 cases) and a normal cohort (51 cases). All subjects underwent conventional lumbar sequences, T2 mapping, and IDEAL-IQ scans at 3T. T2 values and fat fraction (FF) of bilateral multifidus (mid-levels of L2-L5 vertebrae) and erector spinae (mid-levels of L1-L4 vertebrae) were measured. CNLBP severity, Japanese Orthopedic Association (JOA) score, and Visual Analogue Scale (VAS) score were recorded. Wilcoxon signed-rank tests were used to compare parameter differences between painful and non-painful sides in the case group. Mann-Whitney U tests were employed to evaluate differences between the case and normal group. Logistic regression analysis was conducted to identify predictive factors and to establish a combined model. In the case group, erector spinae FF values (L4 level), erector spinae T2 values (L1, L2, and L4 levels), and multifidus T2 values (L4 and L5 levels) were higher on the painful side (P<0.05). Multifidus T2 values (L5 level) and FF values (L2-L5 levels) were higher in the case group compared to the normal group (P<0.05). The optimal performance in differentiating young CNLBP was the combination of L5 level multifidus T2 value with FF (AUC = 91.81%). Negative correlation existed between T2 values and FF of multifidus at L5 level and JOA scores (r=-0.41, P < 0.05), and positive correlation with VAS scores (r = 0.46, P < 0.05). The combination of T2 value and FF may provide deeper insights into the pathological alterations of paraspinal muscles in young CNLBP, providing an important imaging basis for clinical judgment and preventive treatment of non-painful side in unilateral symptomatic patients.

Local maximum synchrosqueezing adaptive transformation for cross-instantaneous frequencies analysis

Abstract To overcome the shortcomings of existing time-frequency (TF) analysis (TFA) methods in analyzing signals containing cross-instantaneous frequencies (IFs), this paper proposes an adaptive TFA technique combined with image processing methods based on local maximum synchrosqueezing transform. The core idea of the proposed algorithm is to localize the filtering of signals containing several different IF components using kernel functions containing several different directions, respectively, to achieve energy separation at the crossing frequencies. In turn, the local maximum synchrosqueezing transform is used to rearrange the TF energy to the true IF ridges of the signal to improve the TF energy concentration. Simulation data demonstrates that the proposed algorithm has higher energy aggregation and better noise immunity, especially for signals with cross-IFs. Applying the proposed method to animal acoustic and radar wave signals of pedestrians can accurately describe the differences in the frequency change patterns and the temporal distribution of energy in the signals, thereby providing a judgment basis for effectively identifying and classifying the signals.&amp;#xD;

Native speakers and syllable structure

Abstract Benjamin Macaulay advises us not to diagnose syllable structure, more specifically the distinction between vowel + vowel clusters and diphthongs in the Taiwanese language Budai Rukai, on the basis of speaker judgements. I fully endorse his approach, since much of current work in phonology unwarrantedly takes syllabification for granted, without arguing for its necessity.

Этногенез чувашей в трудах Н.И. Воробьева: особенности трактовки

The article examines the contribution of Professor N.I. Vorobyev to the scientific study of complex aspects of the ethnogenesis of the Chuvash people. The scientist is rightfully considered one of the prominent researchers of the problem of the origin of the Chuvash. Being one of the leaders and authors of the first volume of the collective monograph “The Chuvash. Ethnographic research. Part One” (1956), N.I. Vorobyev outlined in it his so-called "autochthonous theory" of the ethnogenesis of the Chuvash, as a people based on Finno-Ugric, but with the Turkic Bulgarian language. The article highlights the scientist's not always unambiguous views on the origin of the Chuvash, as set out by him in publications of 1930, 1950, 1953. It is noted that while many scientists at the beginning of scientific research adhered to the concept of the Finno-Ugric origin of the Chuvash, and subsequently took the position of N.I. Ashmarin, N.I. Vorobyev initially rather inclined to the Bulgarian theory, and only later became an autochthoniste. It is pointed out that one of the weak points in the scientist's interpretation of the issues of ethnogenesis was the ignoring of the factor of their Bulgarian-type language. For N.I. Vorobyev, the main basis for judgments about the origin of the Chuvash was the material and partly spiritual culture, which had a lot in common with the Mari. The article also points to the fact that the scientist did not pay attention to the factor of pagan religion in the ethnic history of the Chuvash. At the same time, it should be noted that in search of the origins of the Chuvash people, he quite widely attracted materials from famous archaeological sites of the Chuvash region. Special attention is paid in the article to the coverage of critical assessments of N.I. Vorobyev’s views by Chuvash historians V.F. Kakhovsky and V.D. Dimitriev.

Research on fault diagnosis and feature extraction mechanism visualization of rotating machinery based on improved 1D CNN

With the wide application of intelligent equipment in modern industrial production, it is particularly important to study how to intelligently sense the faults of rotating machinery, improve the diagnosis efficiency and enhance the interpretation ability of the diagnosis process. Although the traditional 1-D CNN performs well in fault diagnosis, it has limitations in capturing subtle changes and complex patterns of fault signals, and its interpretability needs to be improved. Therefore, based on the improved ELCNN model, this paper discusses its diagnosis mechanism in depth, aiming at providing a new idea for intelligent fault diagnosis of rotating machinery. The functions of convolutional layer and S-GAP layer in ELCNN are studied and analyzed. Through single-layer linear convolution, ELCNN can adaptively learn the frequency domain features of the signal and realize the lightweight of the model. At the same time, the S-GAP layer enhances the ability of ELCNN to capture the main peak frequency of fault signals through feature sparseness. The experimental results show that the accuracy of ELCNN in frequency domain feature extraction is more than 80 %. The main peak frequency extracted can effectively help engineers understand the basis of model judgment and improve the reliability of the model.

Development of a breastfeeding co-parenting intervention program for couples with primiparas: a program development process study

BackgroundThe exclusive breastfeeding rates is low in some countries. Low breastfeeding rates results in higher healthcare expenses and adverse health outcomes for individuals and society. Co-parenting is effective in promoting breastfeeding as it involves shared responsibility and collaboration between parents in raising children. However, the current breastfeeding co-parenting intervention programs exhibits significant variations in components, timing, and duration across studies. An evidence-based breastfeeding co-parenting intervention program is essential for enhancing breastfeeding-related outcomes.ObjectiveTo develop an evidence-based breastfeeding co-parenting intervention program for healthcare providers to guide parents with primiparas on breastfeeding.MethodTo form an initial version of the intervention program, a systematic literature review was conducted to consolidate information on current intervention programs. Two rounds of Delphi method were followed to gather expert comments for the program modification to establish the formal version.ResultsFourteen articles published between 1995 and 2022 were screened. Details of these researches, including starting and ending time, duration and specific contents, were integrated to developed the initial program. Then, six experts completed the two rounds consultation with a positive coefficient of 85.71%, coefficient judgment basis of 0.93, familiarity coefficient of 0.87, authority coefficient of 0.90 and the Kendall’s W of 0.62. Finally, an evidence-based breastfeeding co-parenting intervention program was constructed in this study, consisting of breastfeeding co-parenting courses, individual counselling and a father’s support group.ConclusionThis research developed a breastfeeding co-parenting intervention program for healthcare providers to guide primiparous parents to improve breastfeeding rates. Through a systematic literature review and Delphi method with good reliability, the program integrates breastfeeding courses, individual counseling, and a father’s support group. Future research will focus on evaluating its impact and scalability to benefit maternal and infant health globally.Trial registrationChiCTR.org.cn (ChiCTR2300069648). Registration date: 2023-03-22.

Study on dynamic characteristics and wind-vibration control of transmission tower considering local damage and destruction

As existing transmission lines gradually approach their service life, health monitoring studies of in-service transmission towers are becoming increasingly important. In this study, relying on the 110 kV transmission line project of Neihuang Dichu to Er’an in Anyang, Henan Province, China, a refined finite element model of the transmission tower structure was established, and the accuracy of the numerical model was validated based on the health monitoring data of the actual engineering structure. Damage and destruction analyses of transmission tower structures considering vibration modes and frequencies were carried out, and the influence of local damage on the vibration reduction effectiveness of controlled structures under wind loads was discussed and analyzed. The results showed that the vibration mode of the local damage model was shifted along the damaged part, and its frequency changed within 15 %; in contrast, the dynamic characteristics of the local damage model changed more significantly. With the vibration mode as the judgment basis of the structural state, the obvious difference can be observed when the structure undergoes local damage, and the vibration mode should be used as the basis for determining the specific damage site of the transmission tower in the actual project. The adopted TMD can effectively reduce the dynamic response of the transmission tower under different wind attack angles and wind speeds, and its vibration reduction effectiveness performed the worst due to the significant change in the dynamic characteristics of the tower leg damage model, resulting in the detuning of the TMD.

Research on the damage and wound repair of cornea by GO and ZnO

Objective The widespread use of nanoparticles in recent years has increased the risk of ocular exposure. zinc oxide (ZnO) is widely used in the field of cosmetics because of its unique chemical properties. The application of graphene oxide (GO) as an emerging nanomaterial in the field of eye drops is also gradually emerging. Currently, research on ZnO and GO eye exposure mainly focuses on application or toxicity to optic nerve cells. There’s less study on corneal wound healing effects. and the previous research hasn’t compared ZnO and GO corneal toxicity. Methods We systematically established a complete chain study of in vitro and in vivo experiments and mouse corneal injury model, and comprehensively evaluated the ocular safety and toxicity of ZnO and GO. Results We found that 50 ug/mL GO and 0.5 ug/mL ZnO can reduce human corneal epithelial cells (HCEpiC) viability in a concentration-dependent manner. Short-term repeated exposure to ZnO can cause sterile inflammation of the cornea with concentration-dependence, while GO have not been significantly altered. 50 ug/mL ZnO could significantly delay the healing of corneal wounds, while GO did not change wound healing. Conclusion The toxic effect of ZnO is higher than that of GO. Inflammatory signal transduction, oxidative stress and apopnano zitosis are involved in the ocular toxicity injury process of nanoparticles. Research can provide a judgement basis for people’s eye health and eye protection risk control.

Research on Development of Nursing Bed Lifting Mechanism Technology

Nursing beds can be widely used in medical institutions and households to provide medical care for patients or disabled individuals. With the increasing demand for nursing, nursing beds are developing towards intelligence and comfort. In this study, the backrest lifting mechanism of nursing beds is selected as the research object. The standards for backrest angle adjustment and the basis for comfort judgment are reviewed, and the research on various adjustment configurations are sorted in order to provide assistance to relevant research institutions in understanding current technologies and assist users in making choices.

Relationship between perceived human resource management system strength, thriving at work, and employee's turnover intention in Chinese hotels

AbstractThe high turnover rate of employees is one of the core problems of human resource management (HRM) in the hotel industry. We aim to propose a fresh perspective on hotel HRM by examining the impact of HRM system strength on employees' turnover intentions from a motivational process perspective. Introducing thriving at work as a mediator, we argue that employees' perceived HRM system strength not only provides a basis for rational judgment but also elicits affective evaluation through thriving at work to reduce turnover intention. Grit, a motivation‐related personality trait, is also considered a moderator. Data from 420 Chinese hotel employees showed that perceived HRM system strength (distinctiveness, consistency, and consensus) reduced turnover intention. Thriving at work partially mediated the relationship, while employee grit moderated the link between HRM strength and thriving. The theoretical and practical implications are discussed.

Dual-reporter fluorescent probe for precise identification of liver cancer by sequentially responding to carboxylesterase and polarity

Early treatment significantly improves the survival rate of liver cancer patients, so the development of early diagnostic methods for liver cancer is urgent. Liver cancer can develop from viral hepatitis, alcoholic liver, and fatty liver, thus making the above diseases share common features such as elevated viscosity, reactive oxygen species, and reactive nitrogen species. Therefore, accurate differentiation between other liver diseases and liver cancer is both a paramount practical need and challenging. Numerous fluorescent probes have been reported for the diagnosis of liver cancer by detecting a single biomarker, but these probes lack specificity for liver cancer in complex biological systems. Obviously, using multiple liver cancer biomarkers as the basis for judgment can dramatically improve diagnostic accuracy. Herein, we report the first fluorescent probe, LD-TCE, that sequentially detects carboxylesterase (CE) and lipid droplet polarity in liver cancer cells with high sensitivity and selectivity, with linear detection of CE in the range of 0–6 U/mL and a 65-fold fluorescence enhancement in response to polarity. The probe first reacts with CE and releases weak fluorescence, which is then dramatically enhanced due to the decrease in lipid droplet polarity in liver cancer cells. This approach allows the probe to enable specific imaging of liver cancer with higher contrast and accuracy. The probe successfully achieved the screening of liver cancer cells and the precise identification of liver cancer in mice. More importantly, it is not disturbed by liver fibrosis, which is a common pathological feature of many liver diseases. We believe that the LD-TCE is expected to be a powerful tool for early diagnosis of liver cancer.

A New Method for Determining Necking of Sheet Metal Based on Main Strain Topography

There are various methods to evaluate the forming limit of a sheet, and these criteria can be classified as position-dependent, time-dependent, and position-time dependent according to the basis of judgment. However, these criteria have a single function and can only find the forming limit of the sheet and cannot determine the strain distribution, strain change, or fracture location during the sheet forming process. This paper introduces a time–location-dependent method, i.e., the spatial strain rate method, which is used to detect the onset of necking of a sheet. The spatial strain rate is directly based on the strain and can not only find the forming limit of the sheet but also depict the strain distribution and strain variation during the two phases of the experimental process—distributed instability and concentrated instability—as well as predict the location of sheet fracture. The spatial strain rate of AA5083 aluminum alloy of different widths was analyzed and verified in detail via Nakazima experiments using digital image correlation techniques and compared with the guidelines published in the literature in recent years.

Exploring implementation strategies for healthy longevity among the elderly population in China based on the delphi method

Objective: To explore the implementation strategies for promoting healthy longevity among the elderly population in China based on the Delphi method. Methods: Through literature review and expert discussion, a framework for implementation strategies to achieve healthy longevity among the elderly was determined, and a preliminary checklist of implementation strategies was developed. The Delphi method was employed from August to December 2022, inviting 25 experts from various disciplines such as clinical medicine, public health, basic research, and the elderly care services industry. Experts were sent consultation questionnaires via email to assess the importance, feasibility, judgment basis and familiarity of each implementation strategy. Active coefficient, authority coefficient, and harmony coefficient were analyzed to ultimately determine the important and feasible implementation strategies for healthy longevity that were suitable for the Chinese elderly population. Results: The expert active coefficients of the two rounds were 96.00% (24/25) and 79.17% (19/24). The authority coefficients were (0.76±0.19) and (0.77±0.17). The average scores of importance were (4.32±0.84) and (4.36±0.82), and the corresponding scores of feasibility were (3.72±1.04) and (3.80±0.92). The harmony coefficients for the importance score were 0.269 (χ2=594.084, P<0.001) and 0.159 (χ2=193.624, P<0.001). The harmony coefficients for feasibility scores were 0.205 (χ2=452.008, P<0.001) and 0.167 (χ2=202.878, P<0.001). The final eight implementation strategies were identified after two rounds of consultation. Conclusion: Through two rounds of Delphi consultations, eight important and feasible implementation strategies for promoting healthy longevity that are suitable for the Chinese context have been proposed.

Analysis of Topics Perceived Difficult by Pre-service Mathematics Teachers and Lecturers in Colleges of Education in Niger State, Nigeria

This study was conducted to investigate the topics perceived as difficult by pre-service mathematics teachers and Mathematics lecturers in Colleges of Education in Niger State, Nigeria. One Hundred and seven (107) 300 level Pre-service Mathematics Teachers and Seventeen (17) Lecturers were purposively selected from two (2) Colleges of Education in Niger State, Nigeria. A twenty-three items questionnaire named Mathematics Topic Analysis Questionnaire (MTAQ) with two sections was administered to respondents (Pre-service Mathematics Teachers and Mathematics Lecturers). The questionnaire was validated by experts, and its internal consistency was assessed using Cronbach's Alpha, which yielded a reliability coefficient of 0.87. Data analysis was done using Mean and Standard deviation and independent sample t-test. A criterion means of 2.5 was set as the basis for judgment. A mean score of 2.5 and above indicated an easy topic, while less than 2.5 indicated a difficult topic. Findings revealed that Pre-service Mathematics teachers perceived 9 topics as difficult to comprehend while 3 topics were perceived as difficult to teach by Mathematics lecturers. The study also showed that Pre-service Mathematics teachers’ gender has no significant influence on their perception of difficult topics in mathematics. It was therefore recommended that students should be encouraged and motivated to learn mathematics, curriculum developers should develop instructions that would improve students’ knowledge by laying more emphasis on the perceived difficulty areas in mathematics and further studies should be conducted to find out the factors responsible for the perceived difficulty and also if there is a relationship between perception and students’ achievement.

Research on heritage characteristics based on railway architectural heritage database in Jinzhou section of the Peking–Mukden Railway

This research interprets the background of Jinzhou section of the Peking–Mukden Railway, and puts forward 65 heritages as cases based on the scope definition and investigation. After the data collection, processing, and visualization, the database composed of 9 sub-databases, with B/S architecture mode, is constructed based on SQL server platform. The ArcGIS tool is used to analyze the distribution of the heritages, including spatial distribution characteristics, spatial agglomeration, and spatial equilibrium. “Image and model information database” and “text attribute information database” is used to analyze the architectural ontology features. The conclusions are drawn as follows: 1) The integral distribution has the characteristics of “cohesion”, while the 5 medium types of heritages show obvious and different directions. 2) The overall pattern of spatial agglomeration is characterized by high cohesion with a single high agglomeration point as the core. The low agglomeration area shows a point-line-point pattern. 3) The integral heritages and three main types of buildings differ in distribution, and the equilibrium is low. The architectural ontology analysis shows that the image information can be used as the basis for ontology characteristics analysis, architectural form and style judgment, and architectural functional space analysis.

생성형 인공지능 ChatGPT의 국어능력은 어떠한가?

Using OpenAI’s ChatGPT to determine the Korean language ability of gener ative artificial intelligence, this study analyzes the results of solving items in the Korean language area of the 2024 CSAT as well as the types of errors found in the process. Therefore, the researchers designed prompts suitable for solving items and collected the basis for the noon judgment for each option based on the correct answer to the question and the content of the text from ChatGPT. Prior to the full-scale analysis, ChatGPT’s tendency toward correct answers for each items was examined, and the percentage of correct answers was confirmed to be higher in the reading area than in literature and in items requiring vocabulary, concepts, and factual understanding rather than inferential and critical understand ing. Additionally, ChatGPT’s error types for item solving were largely categorized into two types: one in which the basis for the noon judgment of the item was not found within the text, and the other in which the meaning of the text was incorrect ly constructed. Furthermore, in the latter case, ChatGPT was divided into cases in which only the accumulative meaning intervened in the process of constructing the meaning of the text to create the wrong meaning, or the wrong meaning was constructed by not connecting or incorrectly connecting the information within the text. The results of these studies are significant as they empirically analyze and exam ine the Korean language ability of generative artificial intelligence and suggest the role of readers and writers in this era of generative artificial intelligence. Based on this study, conducting a comprehensive comparative review of the Korean language capabilities of generative artificial intelligence in the future is necessary. Moreover, as the time difference between the Korean language phenomenon and Korean lan guage education has intensified owing to the recent development of technology, discourse related to generative artificial intelligence will need to be triggered and discussed in the future to support readers and writers in the ever-changing literacy environment.

ARIMA-BPNN based Stock Price Prediction Model Based on Fusion News Sentiment Analysis

In recent years, the prediction of stocks has mainly focused on improving and combining stock prediction algorithms, or analyzing news sentiment tendencies to simulate subjective investor consciousness. However, both methods have shortcomings in practicality and comprehensiveness. Therefore, based on the use of stock data, the sentiment propensity of vocabulary in the article was processed, and a new algorithm model was obtained by combining the differential integration moving average autoregressive model and backpropagation feedforward neural network model. Finally, sentiment propensity was integrated into the combination model to obtain an algorithm model that integrates sentiment analysis. After optimizing the sentiment vocabulary of news. The algorithm has improved its ability to recognize emotional tendency words, while traditional algorithms have been improved to improve the accuracy of stock prediction, further verifying the relationship curve between emotional tendency and stock prediction fluctuations. The experimental results show that the combined model of sentiment analysis is close to the true value in predicting stock results, with an error of less than 1.5%. The accuracy and stability of the model’s prediction results are significantly better than the uncombined model and traditional prediction models. The new combination model provides better judgment basis for investors through experimental prediction results, creating conditions for investors to avoid stock market risks and improve investment value.

Research on optimal design of 6in offshore flange connector’s sealing structure

Taking the maximum contact pressure as the objective function for, the optimal design model of the offshore flange connector was established to analyze the impact of the flange cone's angle and the curvature radius of the lenticular gasket's contact surface on the sealing performance of the connector. An optimized three-dimensional model of the offshore flange connector was constructed using the MATLAB software's fmincon function to obtain the optimal size of the cone angle and curvature radius. The maximum contact pressure and maximum equivalent stress values of the non-optimized and optimized offshore flange connectors under the cross combination of two design pressures and six operating temperatures were analyzed by Workbench software, and the sealing performance of the non-optimized and optimized offshore flange connectors was compared according to the sealing judgment basis. The results show that compared with the previously studied offshore flange connector, the sealing structure of optimized offshore flange exhibits maximum increase in contact pressure increase but maximum decrease in equivalent stress. Under actual operating circumstances, the optimized offshore flange connection performs better in sealing and is less prone to breakage.

Predicting the memorability of scene pictures: Improved accuracy through one's own experience.

There are conflicting findings regarding the accuracy of metamemory for scene pictures. Judgements of stimulus memorability in general (memorability judgements [MJs]) have been reported to be unpredictive of actual image memorability. However, other studies have found that judgements of learning (JOLs)-predictions of one's own later memory performance for recently studied items-are moderately predictive of people's own actual recognition memory for pictures. The current study directly compared the relative accuracy and cue basis of JOLs and MJs for scene pictures. In Experiments 1 and 2, participants completed an MJ task and a JOL task in counterbalanced order. In the MJ task, they judged the general memorability of each picture. In the JOL task, they studied pictures and made JOLs during a learning phase, followed by a recognition memory test. Results showed that MJs were predictive of general scene memorability and relied on the same cues as JOLs, but MJ accuracy considerably improved after the JOL task. Experiment 3 demonstrated that prior learning experiences drove this increase in MJ accuracy. This work demonstrates that people can predict not only their own future memory performance for scene pictures with moderate accuracy but also the general memorability of scene pictures. In addition, experiences with one's own learning and memory support the ability to assess scene memorability in general. This research contributes to our understanding of the basis and accuracy of different metamemory judgements.

Fault diagnosis of accelerometer servo circuit output saturation based on feature electrical parameters extraction

The servo circuit of quartz flexible accelerometer is an extremely vital microelectronic device in inertial system. The paper introduces the traditional analysis process about output saturation fault of accelerometer servo circuit. For the shortcomings of traditional analysis methods, a fault diagnosis method based on feature electrical parameters extraction is proposed. According to the fault phenomenon, combined with the modular characteristics of hybrid integrated circuits, the feature electrical parameters of fault modes are extracted, and the fault modes' judgment basis is set. By the judgment results of the feature electrical parameters of the fault circuit, the circuit with output saturation fault caused by the electrical damage to the differential capacitance detector and other faults can be located quickly and accurately, and it is verified by the analysis of faulty circuit samples. Targeted for these faults, the improvement measures are put forward. This analysis method improves the fault diagnosis efficiency and reliability about the accelerometer servo circuit, and has guiding significance for enhancing the success rate of the failure analysis in the hybrid integrated circuits.