This paper aimed to conduct a systematic review of 26 published articles from 13 different regions in the Republic of Yemen related to the study of natural radioactivity (NORM) and enhanced artificial radioactivity (TENORM). The study relied on the analysis of various sample types, including air, groundwater, surface water, hot spring water, soil, sand, rocks, building materials, and oil field samples. It also analyzed the study areas, the types of detectors employed, and the study\'s timeframe. The analytical results raised significant concerns regarding the high levels of radioactivity observed in many of the studied regions. Moreover, some regions indicated the absence of any prior radiological study, despite apparent effects on the population and the environment, which suggest the presence of potential radionuclide concentration. Based on this study, it is strongly recommended that researchers conduct further radiological studies in regions previously studied over extended periods and in areas where no prior radiological studies have been conducted to assess potential radionuclide concentration.

BACKGROUND: Identifying drug-target interactions (DTIs) plays a key role in drug development. Traditional wet experiments to identify DTIs are costly and time consuming. Effective computational methods to predict DTIs are useful to speed up the process of drug discovery. A variety of non-negativity matrix factorization based methods are proposed to predict DTIs, but most of them overlooked the sparsity of feature matrices and the convergence of adopted matrix factorization algorithms, therefore their performances can be further improved.
RESULTS: In order to predict DTIs more accurately, we propose a novel method iPALM-DLMF. iPALM-DLMF models DTIs prediction as a problem of non-negative matrix factorization with graph dual regularization terms and [Formula: see text] norm regularization terms. The graph dual regularization terms are used to integrate the information from the drug similarity matrix and the target similarity matrix, and [Formula: see text] norm regularization terms are used to ensure the sparsity of the feature matrices obtained by non-negative matrix factorization. To solve the model, iPALM-DLMF adopts non-negative double singular value decomposition to initialize the nonnegative matrix factorization, and an inertial Proximal Alternating Linearized Minimization iterating process, which has been proved to converge to a KKT point, to obtain the final result of the matrix factorization. Extensive experimental results show that iPALM-DLMF has better performance than other state-of-the-art methods. In case studies, in 50 highest-scoring proteins targeted by the drug gabapentin predicted by iPALM-DLMF, 46 have been validated, and in 50 highest-scoring drugs targeting prostaglandin-endoperoxide synthase 2 predicted by iPALM-DLMF, 47 have been validated.

UNASSIGNED: The Childhood Trauma Questionnaire-Short Form (CTQ-SF) is a widely utilized instrument of childhood maltreatment (CM). However, psychometric properties and normative data of the CTQ-SF for Chinese adolescents are still unknown.
UNASSIGNED: To examine psychometric properties and normative data of Chinese version CTQ-SF in a nationally representative sample of Chinese adolescents, including internal consistency reliability, test-retest reliability, structural validity, and convergent validity.
UNASSIGNED: A total of 20,951 adolescents aged 12 to 18 years were recruited from five provinces across China. Item analysis was used for 25 clinical items of the CTQ-SF. Confirmatory factor analysis was performed to examine fit indices of the factor structure. The Adverse Childhood Experiences Scale (ACEs) was used to evaluate convergent validity. The percentile ranks for scores of the CTQ-SF and each subscales were presented.
UNASSIGNED: According to the results of three methods in Item analysis, Item 4 should be dropped. The remaining 24 clinical items achieved satisfactory fits in an alternative four-factor model. The alternative CTQ-SF showed acceptable internal consistency and the Cronbach\'s α of the four subscales was 0.824 (Neglect), 0.755 (Sexual Abuse), 0.713 (Physical Abuse), and 0.666 (Emotional Abuse), respectively. Besides, test-retest reliability and convergent validity of the alternative CTQ-SF were also acceptable.
UNASSIGNED: The alternative four-factor model CTQ-SF exhibits good reliability and validity among Chinese adolescents. Additionally, the normative information of the CTQ-SF could provide practical support for determining severity of different subtypes of CM.

BACKGROUND: Children with auditory processing deficits may face problems with language, learning, and social communication.
OBJECTIVE: To develop a Chinese auditory processing assessment scale for preschool children and establish the norms of the scale.
METHODS: The predictive version of the scale was formed by a literature review, qualitative interviews, expert consultation, and a pre-test with a small sample. Nine kindergartens in Nanjing were selected by a stratified cluster sampling plan. First, 734 children from two kindergartens were selected for the large sample pre-test of the scale. Then, 1526 children from four kindergartens and 1151 children from three kindergartens were selected for the reliability and validity analysis and confirmatory factor analysis, respectively. The standardized norm data of the scale were established based on the 3411 points of scale data of the nine kindergartens. Finally, the clinical usefulness of the scale was analyzed by comparing the results of objective auditory processing tests in children with normal and abnormal auditory processing prompted by the score on the scale.
RESULTS: The preschool auditory processing assessment scale includes 5 dimensions and 30 items. The Cronbach\'s alpha value of the scale is greater than 0.9. The confirmatory factor analysis results verify that the scale structure is reasonable. The percentile norm of the scale was established. The results of electrophysiological tests of the normal and abnormal auditory processing groups were statistically different (P < 0.05).
CONCLUSIONS: The developed preschool auditory processing assessment scale has good reliability and validity. The scale is suitable for clinical application.

Objective: To establish the Core Occupational Stress Scale (COSS) norm values for manufacturing and medical workers. Methods: A total of 10 316 manufacturing workers of 20 companies from 7 provincial capital cities and 5 031 medical workers of 19 hospitals from 4 provincial capital cities were investigated using a stratified sampling method. Questionnaire information including occupational stress was collected. Norms of mean, percentile and T scores were calculated for COSS total and sub-dimension scores by different demographic characteristics. Based on the normal distribution, cut points of x¯+0.5s, x¯+s, x¯+1.5s of COSS total scores were calculated to classify the degree of occupational stress. Results: The COSS total scores were (45.48±8.16) and (45.71±8.46). The 50th percentiles were both 46, and T score ranges were (15-92) and (16-91), respectively, for manufacturing and medical workers. When the total score was<50, 50-53, 54-57, and >57 for manufacturing worker, or<50, 50-54, 55-58, and >58 for medical workers, occupational stress would be classified into none, mild, moderate, and severe levels. Conclusion: Compatible with the national condition of China, as well as the principles of psychological measurement, these norm values for manufacturing and medical workers could provide theoretical support and practical guideline on occupational mental health promotion.
目的： 研制适用于我国制造业工人和医务人员的职业紧张测量核心量表（COSS）得分常模。 方法： 采用分层随机抽样方法，从制造业高度聚集区域7个省会市20家制造业企业和全国东、中、西部地区4个省会市19家医院分别抽取制造业工人（10 316名）和医务人员（5 031名）作为常模样本。通过问卷收集职业紧张相关信息，并建立不同人口学特征对象的均数常模、百分位常模、T分值常模，同时采用正态分布法，以COSS总分的x¯+0.5s、x¯+s、x¯+1.5s作为职业紧张程度划分标准。 结果： 制造业工人、医务人员COSS总分分别为（45.48±8.16）、（45.71±8.46）分，P50对应的总分均为46，T分常模范围分别为（15~92）、（16~91）分。当制造业工人COSS总分<50、50~53、54~57、>57分时，医务人员COSS总分<50、50~54、55~58、>58分时，分别判定为无职业紧张和轻度、中度、重度职业紧张水平。 结论： 本常模符合我国国情及心理学测量要求，操作简便、易行，为制造业工人和医务人员心理健康促进提供理论支持与实践指导。.

Occupational stress is one of the major occupational health problems in industrialized countries. In Europe, the United States, Japan, and other countries, occupational stress has been included in the prevention and control of occupational hazards in the workplace. This problem has also become a major risk factor affecting the physical and mental health of the working population in China. Over the last three decades, China had carried out a lot of research on occupational stress and made significant progress, but there is still a big gap between China and industrialized countries in terms of theoretical research on occupational stress, development of measurement tools, research topics and methods, formulation of regulations and standards, and practice of prevention and control. Articles in this key issue report the research on the core scale of occupational stress measurement for the Chinese working population, the scale scoring norm of manufacturing and medical personnel, the research on the relationship between positive psychology variables, and occupational stress and its role in the relationship between occupational stress and health outcomes.
职业紧张是工业化国家主要的职业卫生问题之一，欧洲、美国、日本等已经将其纳入工作场所职业危害因素预防控制范围，职业紧张也已经成为影响我国职业人群身心健康的主要危险因素。过去30年，我国在职业紧张方面开展了很多研究，取得了显著的进步，但在职业紧张理论研究、测量工具研制、研究内容和方法、法规与标准制定以及预防控制实践方面与工业化国家相比，仍有很大差距。本期重点号报道了适用于我国职业人群的职业紧张测量核心量表以及制造业工人和医务人员两个人群的量表评分常模研究，和积极心理学变量与职业紧张关系以及其在职业紧张与健康结局关系中作用的研究等。.

Large-scale screening for depression has been using norms developed based on a given population at a given time. Researchers have attempted to adjust the cutoff scores over time and for different populations, but such efforts are too few and far in between to be sensitive to temporal and regional variations. In this study, we proposed an unsupervised machine learning approach to constructing depression classifications to overcome the limitations of the traditional norm-based method. Data were collected from 8,063 Chinese middle and high school students. Using k-means clustering, we generated four levels of depressive symptoms to match the norm-based classifications. We then evaluated the validity of the classifications by comparing them with the norm-based method (and its variations) in terms of their robustness, model performance (accuracy, AUC, and sensitivity), and convergent construct validity (i.e., associations with known correlates). The results showed that our automatic classification system performed well as compared to the norm-based method.

By introducing independent parameters and interval variables, applying the weight functions and the technique of real analysis, an extended Hilbert\'s integral inequality in the whole plane with parameters and a best possible constant factor is provided. The equivalent forms, the reverses, and the related homogeneous forms with particular parameters are considered. Meanwhile, an extended Hilbert\'s integral operator in the whole plane is defined, and the operator expressions for the equivalent inequalities are obtained.

The side-effect effect (SEE) is the observation that people\'s intuition about whether an action was intentional depends on whether the outcome is good or bad. The asymmetric response, however, does not represent all subjects\' judgments (Nichols and Ulatowski, 2007). It remains unexplored on subjective factors that can mediate the size of SEE. Thus, the current study investigated whether an individual related factor, specifically, whether adults\' intensity of caring about an outcome of someone\'s actions influences their judgments about whether that person intended the outcome. We hypothesized that participants\' judgments about fictional agents\' responsibility for their action\'s side-effects would depend on how much they care about the domain of the side-effect. In two experiments, the intensity of caring affected participants\' ascription of intention to an agent\'s negative unintended side-effect. The stronger ascription of intentionality to negative than positive side-effects (i.e., the SEE; Knobe, 2003) was found only in domains in which participants reported higher levels of caring. Also, the intensity of caring increased intentionality attributions reliably for negative side-effects but not for positive side-effects. These results suggest that caring about a domain mediates an asymmetrical ascription of intentionality to negative more than positive side-effects.

The GNSS/INS (Global Navigation Satellite System/Inertial Navigation System) navigation system has been widely discussed in recent years. Because of the unique INS-aided loop structure, the deeply coupled system performs very well in highly dynamic environments. In practice, vehicle maneuvering has a big influence on the performance of IMUs (Inertial Measurement Unit), and determining whether the selected IMUs and receiver parameters satisfy the loop dynamic requirement is still a critical problem for deeply coupled systems. Aiming at this, a new parameter self-calibration method based on the norm principle is proposed which explains the relationship between IMU precision and the velocity error of the system; the method will also provide a detailed solution to calculate the loop steady-state tracking error, so it will eventually make a judgment about the stability of the tracking loop under present system parameter settings. Lastly, a full digital simulation platform is set up, and the results of simulations show good agreement with the proposed method.