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[Advances within biodegradation of sulfonamides anti-biotics within aerobic triggered sludge system].
This study explored the mediating role of dyadic coping between self-efficacy, psychological distress and marital quality among young and middle-aged couples facing lymphoma.

A total of 243 couples in which the patients were lymphoma were recruited to complete Dyadic Coping Inventory, Locke-Wallace Marital Adjustment Scale for both. read more And Strategies Used by People to Promote Health, Fear of Progression Questionnaire-Short Form for patients; General Self-Efficacy Scale and Hospital Anxiety and Depression Scale for spouses. We used the statistical programs SPSS 20.0 and SPSS Amos 20.0 for data analysis.

There were significant correlations between patient-spouse's dyadic coping and marriage quality scores. The patients' dyadic coping scores were significantly associated with their self-efficacy, fear of cancer recurrence scores, marriage quality, their spouse's self-efficacy, and marriage quality. The spouses' dyadic coping scores were significantly associated with their self-efficacy, anxiety, and marriage including strategies combined with individual and dyadic therapy for both partners.In this research, the fruits and seeds' surface morphological features and their taxonomic significance were determined. Additionally, useful traits for delimitation of taxa of Rosa sericea complex were studied. In this research, three taxa of the complex R. sericea, R. omeiensis, and R. sikangensis have been studied. A total of 41 populations and 130 specimens of seeds, and 35 populations and 168 specimens of fruits from 10 different geographical regions of southwest China have been examined. The surface micro-morphological characters of the seeds have been studied through scanning electron microscopy to distinguish important characteristics of the complex taxa. Forty-four different qualitative and quantitative characteristics were observed. Principal component analysis was used to simplify and elucidate the relationship between the studied characters of different population based on the morphology of fruits and seeds' features. Moreover, the numerical taxonomic characters and their variation with elevation have been studied in these species. The most interesting characters observed on the surface of the seeds were stomata, and trichomes, for which density was more at the dorsal and ventral parts, while rarely present on the lateral parts. The fruits and seeds' surface morphology of the studied species was complicated and some variation in the characters, that is, persistent calyx shape, the shape of fruits and seeds, stomata shape, and trichomes size were found significant for delimitation of taxa in the complex. The purpose of this study is to identify the taxa of R. sericea complex based on fruits and seeds' morphological characters, and identification keys.
Obstetrics and gynecology (Ob/Gyn) training became compulsory for Japanese physician interns from April 2020 to improve medical competence in treating women's diseases. This study aims to understand the Ob/Gyn training needs of postgraduate year 1-2 physicians (interns) and thereby improve training efficiency.

This study was administered to interns at Ob/Gyn training facilities from December 2019 to February 2020. An original questionnaire was used to evaluate their assessment of training needs. In analyses, interns were categorized according to whether they were willing to major in Ob/Gyn.

Of the 1154 participants, 163 (14.1%) would major in Ob/Gyn (Ob/Gyn applicants) and 967 (83.8%) would not (non-Ob/Gyn applicants). At the time of the survey, 634 (54.9%) had rotated in Ob/Gyn, 253 (21.9%) planned to rotate, and 267 (23.1%) chose not to rotate. The two most favorable training experiences were "experience in surgical procedures" (81/141, 57.4%) and "wide treatment areas covered by Ob/Gyn" (78/141, 55.3%) among the Ob/Gyn applicants, and "specificity of women's treatment" (308/488, 63.1%) among the non-Ob/Gyn applicants.

Ob/Gyn applicants and non-Ob/Gyn applicants differed in their assessment of Ob/Gyn rotations. It is crucial to provide medical training based on interns' needs to improve their skills for treating female patients.
Ob/Gyn applicants and non-Ob/Gyn applicants differed in their assessment of Ob/Gyn rotations. It is crucial to provide medical training based on interns' needs to improve their skills for treating female patients.Females are approximately half of the total population worldwide, and most of them are victims of breast cancer (BC). Computer-aided diagnosis (CAD) frameworks can help radiologists to find breast density (BD), which further helps in BC detection precisely. This research detects BD automatically using mammogram images based on Internet of Medical Things (IoMT) supported devices. Two pretrained deep convolutional neural network models called DenseNet201 and ResNet50 were applied through a transfer learning approach. A total of 322 mammogram images containing 106 fatty, 112 dense, and 104 glandular cases were obtained from the Mammogram Image Analysis Society dataset. The pruning out irrelevant regions and enhancing target regions is performed in preprocessing. The overall classification accuracy of the BD task is performed and accomplished 90.47% through DensNet201 model. Such a framework is beneficial in identifying BD more rapidly to assist radiologists and patients without delay.Measuring the image focus is an important issue in Shape from Focus methods. Conventionally, the Sum of Modified Laplacian, Gray Level Variance (GLV), and Tenengrad techniques have been used frequently among various focus measure operators for estimating the focus levels in a sequence of images. However, they have various issues such as fixed window size and suboptimal focus quality. To solve these problems, a new focus measure operator based on the adaptive sum of weighted modified Laplacian is proposed. First, the adaptive window size selection algorithm based on the GLV is applied. Next, appropriate weights are assigned to the Modified Laplacian values in the image window based on the distance between the center pixel and neighboring pixels. Finally, the Weighted Modified Laplacian values in the image window are summed. Experimental results demonstrate the effectiveness of the proposed method.
We piloted a hand hygiene (HH) project in a ward, focusing on World Health Organization moments 1 and 4. Our aim was to design highly reliable interventions to achieve >90% compliance.

Baseline HH compliance was 57 and 67% for moments 1, 4, respectively, in 2015. After the pilot ward showed sustained improvement, we launched the 'HH bundle' throughout the hospital. This included (i) appointment of HH champions; (ii) verbal/visual bedside reminders; (iii) patient empowerment; (iv) hand moisturisers; (v) tagging near-empty handrub (HR) bottles. Other hospital-wide initiatives included (vi) Smartphone application for auditing; (vii) 'Speak up for Patient Safety' Campaign in 2017 for staff empowerment; (viii) making HH a key performance indicator.

Overall HH compliance increased from a baseline median of 79.6-92.6% in end-2019. Moments 1 and 4 improved from 71 to 92.7% and from 77.6 to 93.2%, respectively. Combined HR and hand wash consumption increased from a baseline median of 82.6 ml/patient day (PD) to 109.2 mL/PD. Health-care-associated rotavirus infections decreased from a baseline median of 4.5 per 10 000 PDs to 1.5 per 10 000 PDs over time.

The 'HH Bundle' of appointing HH champions, active reminders and feedback, patient education and empowerment, availability of hand moisturisers, tagging near-empty hand rub bottles together with hospital-wide initiatives including financial incentives and the 'Speak Up for Patient Safety' campaign successfully improved the overall HH compliance to >90%. These interventions were highly reliable, sustained over 4 years and also reduced health-care-associated rotavirus infection rates.
90%. These interventions were highly reliable, sustained over 4 years and also reduced health-care-associated rotavirus infection rates.
To explore the sleep quality among Chinese nurses and identify the association between night shift and sleep quality and health.

Chinese nurses have many night shifts; the effect of it regarding nurses' sleep quality and health is still not being explored.

This was a cross-sectional study. There were 3,206 nurse participants. The participants self-completed a sociodemographic questionnaire, the Pittsburgh Sleep Quality Index (PSQI) and the Cornell Medical Index (CMI).

Night shift nurses demonstrated relatively worse sleep quality (55.1%) and more health problems (20.7%). Night shift work was significantly associated with poor sleep quality (β=0.96, confidence interval [CI]=0.67-1.26) and poor health (β=2.01, CI=0.15-3.88). Except for sleep medication (β=0.02, CI=-0.01, 0.05) and psychological health (β=0.38, CI=-0.27, 1.03), night shift work was significantly associated with other PSQI domains and physical health.

Night shift work was a risk factor for nurses' sleep quality and health. Night shift nurses have more sleep disorders and physical health problems.

Nurse managers should pay attention to the impact of shift work on nurses' sleep quality and health and reform the rotating shift work system to improve nurses' occupational health.
Nurse managers should pay attention to the impact of shift work on nurses' sleep quality and health and reform the rotating shift work system to improve nurses' occupational health.
Malnutrition is prevalent in hospital, and the Subjective Global Assessment (SGA) has been widely used for its identification. However, in the last decade, new tools were proposed by the Academy of Nutrition and Dietetics-American Society for Parenteral and Enteral Nutrition (AND-ASPEN), European Society for Clinical Nutrition and Metabolism (ESPEN) and Global Leadership Initiative on Malnutrition (GLIM). The diagnostic test accuracy of these tools has been scarcely investigated. Thus, we aimed to compare the accuracy of AND-ASPEN, ESPEN and GLIM for malnutrition diagnosis in hospitalised patients.

A cross-sectional study was conducted with hospitalised patients aged ≥18years from a five-unit complex hospital. Malnutrition was diagnosed within 48h of admission using SGA, AND-ASPEN, ESPEN and GLIM. The accuracy of these tools was evaluated by the area under the receiver operating characteristic (AUROC) curve, considering SGA as reference, which was compared by the DeLong test.

Six hundred patients (55.7±14.8years, 51.3% male) were evaluated. AND-ASPEN [AUROC 0.846; 95% confidence interval (CI)=0.810-0.883] and GLIM presented a satisfactory accuracy (AUROC 0.842; 95% CI, 0.807-0.877), whereas ESPEN had a substantially lower accuracy (AUROC, 0.572; 95% CI, 0.522-0.622). The AUROC of AND-ASPEN and GLIM were not different from each other (p=0.785) and both had significantly higher accuracy than ESPEN (p<0.001). AND-ASPEN and GLIM presented sensitivity, specificity and negative predictive value >80%, whereas ESPEN sensitivity was <20%.

AND-ASPEN and GLIM were accurate methods for diagnosing malnutrition and could be applied in hospitalised patients. By contrast, the ESPEN criteria had unsatisfactory accuracy.
AND-ASPEN and GLIM were accurate methods for diagnosing malnutrition and could be applied in hospitalised patients. By contrast, the ESPEN criteria had unsatisfactory accuracy.
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