The impact of parental overprotection on the emotions and behaviors of pediatric hematologic cancer patients: a multicenter cross-sectional study

BackgroundParental overprotection may have an impact on children’s emotional and behavioral problems (EBPs). As pediatric hematologic cancer patients have compromised immune systems, parents of such children often worry excessively, interfering with their daily lives. Therefore, avoiding overprotection is crucial for the overall physical and mental health of pediatric hematologic cancer patients.AimsThe aim of this study was to examine the current status of EBPs in pediatric hematologic cancer patients and analyze their associated risk factors.DesignThis work was a multicenter cross-sectional observational and correlational study. We collected data anonymously through parental questionnaires from three pediatric hematologic oncology hospitals in China. The Strengths and Difficulties Questionnaire, the Parental Overprotection Measure (POM) scale, and a general information survey designed by the research team were employed to assess children’s EBPs, the degree of parental overprotection, as well as basic demographic and disease-related information. Chi-square tests and generalized linear mixed-effects regression analysis were used to analyze the factors influencing EBPs among the pediatric hematologic cancer patients.Setting and participantsUsing a convenience sampling method, a total of 202 participants’ parents were selected. All participants were invited to complete the questionnaire through one-on-one guidance.ResultsEmotional symptoms accounted for the highest proportion of abnormal EBPs in children (27.72%), followed by peer problems (26.24%), prosocial behavior (25.74%), behavioral problems (14.36%), and total difficulties (13.86%). A minority of children had abnormal hyperactivity scores (4.95%). The results of a generalized linear mixed regression analysis showed that age, duration of illness, and parental overprotection were significant factors influencing abnormal EBPs in children (p < 0.05). A POM score threshold of 37 exhibited good sensitivity (74%) and specificity (90%) in predicting abnormal EBPs in children.ConclusionPediatric hematologic cancer patients under excessive parental protection are more prone to experiencing EBPs. Healthcare professionals should guide parents to reduce this excessive protection, thus mitigating the occurrence of EBPs in children

The Implementation of the Recruitment and Retention Bonus for Outstanding Research Fellows in Academia Sinica: An Organizational Justice Perspective

本研究係探究中央研究院執行科技部補助獎勵特殊優秀人才獎勵金之情形，研究主軸有三，分別是(一)瞭解個案研究機構執行該獎勵計劃之方式、(二)檢視研究人員對於任職單位執行該獎勵計劃的分配公平及程序公平知覺，(三)探究研究人員對於獎勵計劃實施成效之看法。透過問卷調查法及深度訪談法進行，回收問卷有效樣本201份，深度訪談9位人員。 研究結果發現，多數單位透過行政人員主動將申請科技部獎勵計畫之資訊，超過七成以上受試者對任職單位採用審查方式有所瞭解。評核標準方面認同以學術研究研究成果為主要考量因素，多採取密件或口頭通知獲獎人員，且獲得獎勵金者在接收獎勵申請訊息較充足。在分配公平及程序公平認知方面，多數認同獲獎者按照個人研究的績效差異，獲得不同的獎勵分配，普遍不認同獎金採平均分配；高達九成以上受試者認同審核成員或委員會決定獎勵名單，避免對任何人有偏見，且多數認同應秉持「公正性」、「客觀性」做出「正確性」的獎勵名單。實施成效上認同應有充分穩定的經費來源，且獎勵金達到單位內留才功能大於外部攬才之功能。 在現行待遇制度無法調整下，運用彈性薪資方式，額外給與特殊優秀的研究人才非法定的獎勵金，對人才延攬及留任方式有所助益，本研究建議行政院其他給與項目法制化作業的過程應採取積極開放的態度；組織內部管理面，建議邀集同仁參與討論，訂定符合公平及公正之獎勵執行規定，採取委員會方式審查獎勵名單並公布受獎名單，並可思考規劃訂定明確的實質分配法則，使各獲獎人員間之獎勵額度應有差異性，且研究績效良好程度與獎勵額度成正比關係，以有效地激勵員工。This study focuses on the execution of fellowships provided by Ministry of Science and Technology for for outstanding talents. The purposes of this study are: 1. How the fellowships are distributed; 2. The perceptions of distributive and procedural justice of research fellows from different institutes; 3. Opinions of research fellows for the effectiveness of the fellowships. The study is conducted through questionnaires with 201 effective samples, and interviews with 9 fellows. This study indicates that most of the institutes actively notify their fellows about the fellowships. More than 70 percents of experimental subjects know the way of distribution, while senior fellows know more well. The examinees recognize using research achievement as a major measure for distribution. Most of the fellows receiving fellowships are notified by classified or oral notices, and more informed about the fellowships. In perceptions of distributive and procedural justice, most examinees prefer distributing fellowships by research achievement of each individual rather than uniformly, and also agree with establishing a distribution committee to avoid prejudices. In addition, many of experimental subjects suggest that the fellowships should be stable and long-term, while thinking the money contributes more to staying instead of recruiting elites. Under current statutory and fixed salary structure, additional and flexible bonus contributes to staying and recruiting talents. We suggest that Administrative Yuan should be more open and aggressive when regulating and adjusting salary structure. For Academia Sinica, the fellowships should be always distributed by corresponding committees in a fair and differentiated manner which are fully and publicly discussed. The amount of fellowship should also be proportional to individual's research achievement to effectively drive employees

Enhancing the Quality of Low-Alcohol Navel Orange Wine through Simultaneous Co-Fermentation Using <i>Saccharomyces cerevisiae</i> SC-125, Angel Yeast SY, and <i>Lactiplantibacillus plantarum</i> BC114

To date, there has been limited research on the interactive effects of yeast and lactic acid bacteria (LAB) on the sensory qualities of navel orange wine. In this study, using Jintang navel orange juice as the raw material, multi-microbial fermentation was conducted with Saccharomyces cerevisiae SC-125 and Angel yeast SY, as well as Lactiplantibacillus plantarum BC114. Single yeast and co-fermentation with Lactiplantibacillus plantarum were used as the control groups. The research aimed to investigate the physicochemical parameters of navel orange wine during fermentation. Additionally, headspace solid-phase microextraction gas chromatography–mass spectrometry (HP-SPME-GC-MS) was employed to determine and analyze the types and levels of flavor compounds in the navel orange wines produced through the different fermentation methods. The co-fermentation using the three strains significantly enhanced both the quantity and variety of volatile compounds in the navel orange wine, concomitant with heightened total phenol and flavonoid levels. Furthermore, a notable improvement was observed in the free radical scavenging activity. A sensory evaluation was carried out to analyze the differences among the various navel orange wines, shedding light on the impact of different wine yeasts and co-fermentation with LAB on the quality of navel orange wines

Field Investigation and Rapid Deterioration Analysis of Heavy Haul Corrugation

In this study, the rapid growth of corrugation caused by the bad quality of grinding works and their wavelength, depth, and evolution processes are captured through field measurements. The residual grinding marks left by poor grinding quality lead to further crack accumulation and corrugation deterioration by decreasing plastic resistance in rails. In this case, the average peak-to-peak values of corrugation grow extremely fast, reaching 1.4 μm per day. The finite element method (FEM) and fracture mechanics methodologies were used to analyze the development and trends in rail surface crack deterioration by considering rails with and without grinding marks. Crack propagation trends increase with residual grinding marks, and they are more severe in circular curve lines. To avoid the rapid deterioration of rail corrugation, intersections between grinding marks and fatigue cracks should be avoided

The influence mechanism of community-built environment on the health of older adults: from the perspective of low-income groups

Abstract Background With the rapid development of population ageing, the international community has been paying more attention to the health problems of older adults and the age-friendly community. But there has not been enough discussion about the internal mechanism of the community-built environment that influences the health of older adults. The aim of our study was to explore the complex relationships among community-built environment, social participation, outdoor exercise, and health of older adults, as well as the differences among older adults in different income groups, particular attention was paid to the situation of low-income group. Methods This study used descriptive statistical analysis and structural equation Modeling (SEM) to make a group comparison among older adults in different income groups. The data of this study came from a sample survey in Shanghai, China. Results The study found that health difference exists among older adults in China: the lower the income, the worse the community-built environment, the worse the health. The community-built environment had an important impact on the health of older adults, especially the low-income older adults. And the community-built environment influenced the health of older adults through the intermediary role of outdoor exercise and social participation. Furthermore, the lower the income level of older adults, the stronger the direct effect of the community-built environment on their health; the higher the income level of older adults, the stronger the mediating effect of outdoor exercise and social participation on the impact of the community-built environment on their health. Conclusion Governments should pay more attention to the health and living conditions of low-income older adults and take proactive steps to help them. Community design and construction should pay more attention to the demands of low-income older adult groups, which will help to improve the health inequality of older adults, consequently enhancing older adults’ overall health

Job Characteristics Model-based Study of the Intrinsic Incentive Mechanism for Primary Health Workers

Background The incentivation for primary health workers is vital for the realization of two goals of the new healthcare reform in China, namely strengthening primary healthcare and achieving hierarchical diagnosis and treatment. Most previous studies put more emphasis on extrinsic incentive measures and their effect on job outcomes, ignoring the intrinsic motivation effect of job itself. Objective To perform an analysis of the job characteristics of primary health workers using the framework of Job Characteristics Model, assess their intrinsic motivation effect on job outcomes of these workers, and compare the strength of impact of the five dimensions of job characteristics and income and other extrinsic motivators on job outcomes, and put forward policy recommendations for improving work motivation and performance of primary health workers. Methods A survey using a self-developed questionnaire was conducted with primary health workers who were on duty on the day of the survey selected from a multistage sample of healthcare settings (including 18 community health centers and 20 township health centers) in three cities of Shandong Province from February to June 2021. Then, from those who effectively completed the survey, 167 cases were selected using convenience sampling to attend semi-structured interviews to understand their views of the characteristics of job as a primary health worker. Pearson correlation was used to analyze the correlations of the five dimensions of job characteristics and extrinsic motivators with autonomous motivation, performance, burnout, and turnover intention. Hierarchical multiple linear regression was used to analyze the strength of impact of the five dimensions of job characteristics and extrinsic motivators on job outcomes. Thematic analysis was used to analyze the interview data. Results A total of 870 cases who handed in effective questionnaires were included for analysis. Among the five dimensions of job characteristics, respondents scored highest and lowest on skill variety (4.09±0.71) and task identity (3.18±1.04) , respectively, and their scores on task significance, feedback from job and autonomy were (3.91±0.76) (3.46±0.83) and (3.43±0.79) , respectively. Pearson correlation analysis showed that the level of each of the five dimensions of job characteristics had a positive correlation with autonomous motivation and performance (P&lt;0.05) , and had a significant negative correlation with burnout and turnover intention (P&lt;0.05) . Hierarchical multiple linear regression revealed that the five dimensions of job characteristics had significant impacts on job outcomes, specifically, autonomous motivation (R2=18.8%) , performance (R2=11.3%) , job burnout (R2=16.5%) and turnover intention (R2=21.9%) , whose explanatory power was stronger than that of five extrinsic motivators (The R2 values of the five extrinsic motivators&apos; contributions to the four job outcomes were 1.7%, 3.4%, 5.8%, and 11.8%, respectively) . The interview results reflected the problems of task fragmentation, limited autonomy and insufficient feedback from job. Conclusion In primary health workers, the intrinsic motivation effect of job characteristics outweighs the extrinsic motivation effect in terms of explanatory power for job outcomes. And there is a gap between actual and theoretical job characteristics. Attention should be paid to the intrinsic motivation effect of job itself. Some measures should be taken, such as increasing training opportunities and quality, reducing work-related burden of these workers and empowering them, increasing resource investment and reducing policy constraints, improving the performance management system, to reshape job perceptions to improve work motivation and performance of primary health workers

Feasibility Study on Qinghai Lake Boundary Detection Using CYGNSS Raw IF Data

Qinghai Lake, the largest inland saltwater lake in China, is an important water body that maintains the ecological security of the northeastern Tibetan Plateau. Global navigation satellite system reflectometry technology (GNSS-R) is rarely used in lake detection, especially in lake boundary detection under the circumstances of spaceborne. This article attempts to implement lake boundary detection using cyclone global navigation satellite system (CYGNSS) raw intermediate frequency (IF) data for the first time. First, the second-order frequency-locked loop is used to assist the third-order phase-locked loop closed-loop tracking to successfully generate higher delay resolution and Doppler resolution (67 &#x00D7; 51) delay Doppler maps (DDM) than CYGNSS compressed DDM (11 &#x00D7; 17); second, based on the principle of scattering characteristics of different reflectors of GNSS-R, and the fusion method of signal power ratio and effective area delay distance (DLR), the 2018 Qinghai Lake boundary detection inversion was carried out in the lake area to explore the feasibility of achieving higher spatial resolution (0.7 km) and high-precision lake boundary detection with the raw IF data of CYGNSS. The inversion detection results are compared with the topographic distribution results of Google Earth and global land analysis and discovery, and the inversion result error is about 0.5 km, which is consistent with the theoretical spatial resolution. It proves that spaceborne GNSS-R technology and CYGNSS raw IF data have great potential in the field of lake boundary detection

Wind Direction Retrieval Using Support Vector Machine from CYGNSS Sea Surface Data

In view of the difficulty of wind direction retrieval in the case of the large space and time span of the global sea surface, a method of sea surface wind direction retrieval using a support vector machine (SVM) is proposed. This paper uses the space-borne global navigation satellite systems reflected signal (GNSS-R) as the remote sensing signal source. Using the Cyclone Global Navigation Satellite System (CYGNSS) satellite data, this paper selects a variety of feature parameters according to the correlation between the features of the sea surface reflection signal and the wind direction, including the Delay Doppler Map (DDM), corresponding to the CYGNSS satellite parameters and geometric feature parameters. The Radial Basis Function (RBF) is selected, and parameter optimization is performed through cross-validation based on the grid search method. Finally, the SVM model of sea surface wind direction retrieval is established. The result shows that this method has a high retrieval classification accuracy using the dataset with wind speed greater than 10 m/s, and the root mean square error (RMSE) of the retrieval result is 26.70°

Active Learning Algorithms for the Classification of Hyperspectral Sea Ice Images

Sea ice is one of the most critical marine disasters, especially in the polar and high latitude regions. Hyperspectral image is suitable for monitoring the sea ice, which contains continuous spectrum information and has better ability of target recognition. The principal bottleneck for the classification of hyperspectral image is a large number of labeled training samples required. However, the collection of labeled samples is time consuming and costly. In order to solve this problem, we apply the active learning (AL) algorithm to hyperspectral sea ice detection which can select the most informative samples. Moreover, we propose a novel investigated AL algorithm based on the evaluation of two criteria: uncertainty and diversity. The uncertainty criterion is based on the difference between the probabilities of the two classes having the highest estimated probabilities, while the diversity criterion is based on a kernel k-means clustering technology. In the experiments of Baffin Bay in northwest Greenland on April 12, 2014, our proposed AL algorithm achieves the highest classification accuracy of 89.327% compared with other AL algorithms and random sampling, while achieving the same classification accuracy, the proposed AL algorithm needs less labeling cost