Brooksmills4456

83%. In Experiments 3 and 4, highest fertility was obtained in LR treatment 48.12 and 30.89%, respectively. In conclusion, using cryoprotectant EG (8%) and thawing at 37°C for 30 s, and DMF(6%) resulted in acceptable level of fertility in Ghagus chicken. Though the diluents influenced post-thaw in vitro semen parameters, the fertility was not affected. In addition, results indicated that thawing temperature may be a critical stage in the cryopreservation protocol.Aims To investigate control measures for COVID-19 pandemic in GIE centers in China. Methods This is a retrospective multi-centre research, including seven centers. Data collection was from 1st Feb to 31st Mar 2020 and the same period last year. Results There were a total of 28 COVID-19 definite cases in these hospitals. Six out of seven GIE centers were arranged to shut down on 1st Feb, with a mean shutdown days of 23.6±5.3. The actual workloads were only 10.3%-62.9% compared to those last year. All centers had a preoperative COVID-19 screening process. Epidemiological questionnaire, temperature taking and QR-code of journey were conducted. Chest CT scan were conducted during the shutdown period and continued in five centers after return to work. Antibody and nucleic acid test were applied in 1-3 centers. All endoscopists had advanced PPE. Five centers used surgical mask and the rest used N95 mask. Six centers used goggles or face shield. Five centers selected isolation gowns and the rest selected protective suits. The change frequency of these PPE was 4 hours. Sterilizing measures were improved in six centers. Five centers utilized ultraviolet and six centers strengthened natural ventilation. Four and six centers used peracetic acid during the period of shutdown and return to work, alone or matched with OPA or acidified water. Conclusions Many effective control measures were conducted in GIE centers during the outbreak, including patients' volume limitation, preoperative COVID-19 screening, advanced PPE and disinfection methods.Aims and objectives To (a) characterise and determine proportions of referred and enrolled children and (b) explore public health nurses' (PHNs) experiences, perspectives and recommendations regarding a new nurse-led referral pathway for paediatric weight management. Background Children with obesity and their families in Canada access specialised services for obesity management through physician referral. Since this requirement can prevent timely access to health services, we established and tested a referral pathway whereby PHNs directly refer children to specialised care for obesity management. Design Nested mixed-methods study reported using GRAMMS. Method Our research study included children (2-17 years of age; body mass index ≥85th percentile) referred by a PHN to the Pediatric Centre for Weight and Health (PCWH; Stollery Children's Hospital, Edmonton, Alberta, Canada) from April 2017-September 2018. We summarised referral and enrolment data using descriptive statistics and conducted one-on-one, semi-struable role that PHNs can play in directly referring children to specialised services for weight management. This pathway has the potential to reduce wait times and enhance treatment enrolment.Background and aim Fully covered self-expandable metal stents (FCSEMSs) have been increasingly used in the management of benign or malignant biliary disorders. However, the risk of post-endoscopic retrograde cholangiopancreatography pancreatitis (PEP) with transpapillary placement of the FCSEMS remains controversial. This study therefore aimed to investigate the risk of PEP in patients who received FCSEMS implantation. Methods In total, 602 patients who underwent endoscopic transpapillary FCSEMS placement at five Chinese medical centers, between 2011 and 2018, were included in this retrospective study. Patients who were younger than 18 years and with stent placement above the papilla were excluded from the study. PEP and the risk factors were reviewed. Results PEP occurred in 56 (9.3%) patients, and eight (1.3%) of them experienced moderate-to-severe PEP. The incidence of PEP rose to 14.6% (51/349) when patients had no pancreatic duct (PD) dilation, and even to 18.6% if no prophylactic approaches were adopted. Prophylactic PD stenting showed better efficacy in reducing the incidence of PEP than did rectal use of indomethacin (3.5% vs 10.8%, P = 0.023). Multivariate logistic regression revealed that difficult cannulation (OR 2.837, 95% CI 1.245-6.465, P = 0.013), PD dilation (OR 0.145, 95% CI 0.05-0.422, P less then 0.001), and PD stenting (OR 0.247, 95% CI 0.089-0.686, P = 0.007) were significantly associated with PEP risk. Post-procedure cholecystitis was found in 4.0% of patients. Conclusion The risk of post-procedure pancreatitis is modestly increased in patients receiving transpapillary FCSEMS placement, particularly when there is absence of PD dilation. Thus, prophylactic pancreatic stenting is recommended in such a condition.This study established a spectrum-effect relationship method for screening and quantifying the analgesic and anti-inflammatory active ingredients in Angelicae Pubescentis Radix (AP) by ultra-high-performance liquid chromatography-quadrupole mass spectrometry detector analysis (UPLC-QDA). First, the fingerprint of AP was established to determine the common peaks. Next, six batches of AP samples, with significant differences, were selected for evaluation of pharmacological activity. Subsequently, the spectrum-effect relationship was used to screen the active ingredients. Finally, the screened ingredients were quantified using UPLC-QDA. In total, 21 common peaks were identified and four effective compounds (bergapten, columbianetin acetate, osthole and isoimperatorin) were selected using the gray relational analysis and partial least squares regression analysis. Quantitative analysis showed that the content of the four effective compounds was the highest in a randomly selected batch, S7 (Hubei). To our knowledge, this is the first attempt that evaluated the quality and spectrum-effect relationship of AP by quantitative analysis and chemometrics. This study identified the key pharmacologically active components of AP and thereby improved the quality evaluation system of AP. This method has broad application prospects for screening effective components and will be helpful in establishing more reliable, scientific and reasonable quality standards for AP and other traditional Chinese medicines.Aims Histology-based tumour microenvironment (TME) scores are useful in predicting the prognosis of gastrointestinal cancer. However, their prognostic roles in distal bile duct cancer (DBDC) have not been previously studied. This study aimed to evaluate the prognostic significance of the TME scores using the Klintrup-Mäkinen (KM) grade, tumour stroma percentage (TSP), and the Glasgow microenvironment score (GMS), in resected DBDC. Methods and results Eighty-one patients with DBDC who underwent curative resection were enrolled. DBDC was graded according to KM grade, TSP, and GMS. A high KM grade was found in 19 patients (24%), and a high TSP was found in 47 patients (58%). A high TSP was significantly correlated with a low KM grade (P less then 0.001). The distribution of the GMS, which was developed by combining the KM grade and TSP, was as follows 0 (n=19, 24%), 1 (n=19, 24%), and 2 (n=43, 52%). A low KM grade, high TSP, and high GMS were significantly associated with short overall survival (OS) (P less then 0.001) and relapse-free survival (RFS) (P less then 0.001). Furthermore, multivariate analysis showed that a low KM grade (hazard ratio [HR], 3.826; confidence interval [CI], 1.650-8.869; P=0.014), high TSP (HR, 2.193; CI, 1.173-4.100, P=0.002), and high GMS (HR, 7.148; CI, 2.811-18.173) were independent prognostic factors for short RFS; a low KM grade (HR, 4.324; CI, 1.594-11.733) and high GMS (HR, 6.332; CI, 2.743-14.594) were independent prognostic factors for short OS. Conclusion Histology-based TME scores, including the KM grade, TSP, and GMS, are useful for predicting the survival of patients with resected DBDC.Purpose Computer-aided diagnosis (CAD) systems assist in solving subjective diagnosis problems that typically rely on personal experience. A CAD system has been developed to differentiate malignant thyroid nodules from benign thyroid nodules in ultrasound images based on deep learning methods. The diagnostic performance was compared between the CAD system and the experienced attending radiologists. Adavosertib Methods The ultrasound image dataset for training the CAD system included 651 malignant nodules and 386 benign nodules while the database for testing included 422 malignant nodules and 128 benign nodules. All the nodules were confirmed by pathology results. In the proposed CAD system, a support vector machine (SVM) is used for classification and fused features which combined the deep features extracted by a convolutional neural network (CNN) with the hand-crafted features such as the histogram of oriented gradient (HOG), local binary patterns (LBP), and scale invariant feature transform (SIFT) were obtained. The optimal feature subset was formed by selecting these fused features based on the maximum class separation distance and used as the training sample for the SVM. Results The accuracy, sensitivity, and specificity of the CAD system were 92.5%, 96.4%, and 83.1%, respectively, which were higher than those of the experienced attending radiologists. The areas under the ROC curves of the CAD system and the attending radiologists were 0.881 and 0.819, respectively. Conclusions The CAD system for thyroid nodules exhibited a better diagnostic performance than experienced attending radiologists. The CAD system could be a reliable supplementary tool to diagnose thyroid nodules using ultrasonography. Macroscopic features in ultrasound images, such as the margins and shape of thyroid nodules, could influence the diagnostic efficiency of the CAD system.Breathlessness, aches and pains, abdominal discomfort and hoarse voice! These may sound like the clinical presentation of COVID‐19, but Nay! These are the symptoms experienced by the countless health professions education (HPE) teachers who have suddenly been thrust into the online world to engage learners.Leaf photosynthetic properties, e.g., the maximum carboxylation velocity or Vc ,max , change with leaf age due to ontogenetic processes. This study introduces an optimal dynamic allocation scheme to model changes in leaf-level photosynthetic capacity as function of leaf biochemical constraints (costs of synthesis and defense), nitrogen availability and other environmental factors (e.g., light). ▪The model consists of a system of equations describing RuBisCO synthesis and degradation within chloroplasts, defense and aging at leaf levels, nitrogen transfer and carbon budget at plant levels. ▪Model results show that optimal allocation principles explained RuBisCO dynamics with leaf age. An approximated analytical solution can reproduce the basic pattern of RuBisCO and Vc ,max in rice and in two tropical tree species. The model also reveals leaf life complementarities that remained unexplained in previous approaches, as the interplay between Vc ,max at maturation, life span, and the decline in photosynthetic capacity with age.