Autologous Platelet-Rich Plasma for Clitoral Reconstruction: A Case Study

Clitoral reconstruction after female genital mutilation/cutting (FGM/C) is associated with significant post-operative pain and months-long recovery. Autologous platelet-rich plasma (A-PRP) reduces the time of healing and pain in orthopedic and burn patients and could also do so in clitoral reconstruction. In the present case, a 35-year-old Guinean woman who had undergone FGM/C Type IIb presented to our clinic for clitoral reconstruction. Her request was motivated by low sexual satisfaction and body image. We surgically reconstructed the clitoris using the Foldès method and applied plasma and glue of A-PRP. The patient was highly satisfied with the procedure. Two months post-operatively, her pain had ceased entirely and re-epithelialization was complete. We conclude that A-PRP may improve pain and healing after clitoral reconstruction. Extensive studies investigating long-term outcomes are needed.

     

Gestión de los recursos humanos y estrategias de vacunación en atención primaria en Europa en la pandemia COVID-19

This article describes the management of human resource and the vaccination strategies in primary care in twelve European countries in relation to the COVID-19 pandemic. All the countries have found solutions to increase their workforce in primary care. Other healthcare professionals were incorporated to support family doctors assuming their tasks, under their supervision and coordination. The European Commission had a crucial role in the production, purchase and distribution of the vaccines. The engagement of primary care in the vaccination campaign has had an unequal participation in the different countries, although the greatest burden has been managed from the government's public health departments.     

Avoidant/restrictive food intake disorder symptoms in children: Associations with child and family variables

This study sought to determine the frequency of possible cases of avoidant/restrictive food intake disorder (ARFID) in a Portuguese sample of school-aged children and to assess the associations with child’s internalizing problems, BMI z-score and body dissatisfaction, and parents’ eating habits, attitudes and practices. We assessed 330 children through child’s and parents’measures. Fifty-one (15.5%) children were possible cases of ARFID based on their symptom’s presentation. There were no association between sex and possible cases of ARFID, and no significant differences between possible cases of ARFID and nonpossible cases of ARFID regarding age. Lower BMI z-score and anxiety/depression were associated with possible cases of ARFID.     

基于DICOM3.0标准构建放射治疗数字系统

目的通过DICOM3.0标准接口,构建放射治疗数字系统。方法以星型拓扑结构联接该系统的各模块,在放疗TPS工作站上实现放疗数字系统服务器功能。遵守TCP/IP网络协议,采用B/S模式的Web浏览器方式,在Windows窗口下实现数据的共享。结果构建放射治疗数字系统,使TPS各工作站实现了资源共享。结论 DICOM 3.0标准,适应医院信息系统发展的要求,有利于提高放射治疗的效率,提升放射治疗质量控制和质量保证。     

Randomised Clinical Trial to Analyse the Efficacy of Eggshell Membrane to Improve Joint Functionality in Knee Osteoarthritis

Osteoarthritis is a source of chronic pain and disability. Dietary supplements have been shown to be a more secure option than NSAIDS. Particularly, the eggshell membrane has demonstrated efficacy in relieving joint pain and stiffness. A clinical trial was designed in which three groups were assigned to two different doses of this supplement and compared to a placebo control group. The primary outcome variable was knee pain, which was assessed using a visual analogue scale. Secondary outcome variables were knee functional ability, quadriceps muscle strength (assessed by isometric and isokinetic trials), and quality of sleep. All groups showed a significant decrease in pain perception, although maximum values were obtained in the high-dose group. Isokinetic and isometric trials showed a significant increase in strength in the high-dose group. Eggshell membrane showed the potential to reduce pain and stiffness symptomatology. Here, for the first time, two quantitative variables (mobility and strength of knee joint) were used to accurately evaluate changes in the quality of life of subjects affected by knee joint pain. The results of this study indicate a dose-dependent response, which should be taken into account for later use in therapeutics to establish the correct dosage.     

Influence of a high-fat diet on gut microbiota, intestinal permeability and metabolic endotoxaemia

Lipopolysaccharide (LPS) may play an important role in chronic diseases through the activation of inflammatory responses. The type of diet consumed is of major concern for the prevention and treatment of these diseases. Evidence from animal and human studies has shown that LPS can diffuse from the gut to the circulatory system in response to the intake of high amounts of fat. The method by which LPS move into the circulatory system is either through direct diffusion due to intestinal paracellular permeability or through absorption by enterocytes during chylomicron secretion. Considering the impact of metabolic diseases on public health and the association between these diseases and the levels of LPS in the circulatory system, this review will mainly discuss the current knowledge about high-fat diets and subclinical inflammation. It will also describe the new evidence that correlates gut microbiota, intestinal permeability and alkaline phosphatase activity with increased blood LPS levels and the biological effects of this increase, such as insulin resistance. Although the majority of the studies published so far have assessed the effects of dietary fat, additional studies are necessary to deepen the understanding of how the amount, the quality and the structure of the fat may affect endotoxaemia. The potential of food combinations to reduce the negative effects of fat intake should also be considered in future studies. In these studies, the effects of flavonoids, prebiotics and probiotics on endotoxaemia should be investigated. Thus, it is essential to identify dietetic strategies capable of minimising endotoxaemia and its postprandial inflammatory effects.     

Plasmid maintenance systems suitable for GMO-based bacterial vaccines

Live carrier-based bacterial vaccines represent a vaccine strategy that offers exceptional flexibility. Commensal or attenuated strains of pathogenic bacteria can be used as live carriers to present foreign antigens from unrelated pathogens to the immune system, with the aim of eliciting protective immune responses. As for oral immunisation, such an approach obviates the usual loss of antigen integrity observed during gastrointestinal passage and allows the delivery of a sufficient antigen dose to the mucosal immune system. Antibiotic and antibiotic-resistance genes have traditionally been used for the maintenance of recombinant plasmid vectors in bacteria used for biotechnological purposes. However, their continued use may appear undesirable in the field of live carrier-based vaccine development. This review focuses on strategies to omit antibiotic resistance determinants in live bacterial vaccines and discusses several balanced lethal-plasmid stabilisation systems with respect to maintenance of plasmid inheritance and antigenicity of plasmid-encoded antigen in vivo.     

Corrosion Behavior of Al Modified with Zn in Chloride Solution

Aluminum-based alloys have been considered candidate materials for cathodic protection anodes. However, the Al-based alloys can form a layer of alumina, which is a drawback in a sacrificial anode. The anodes must exhibit uniform corrosion to achieve better performance. Aluminum can be alloyed with Zn to improve their performance. In this sense, in the present research, the electrochemical corrosion performance of Al-xZn alloys (x = 1.5, 3.5, and 5 at.% Zn) exposed to 3.5 wt.% NaCl for 24 h was evaluated. Polarization curves, linear polarization resistance (LPR), and electrochemical impedance spectroscopy (EIS) were used to identify the electrochemical behavior. The microstructure of the samples before the corrosion assessment was characterized by means of X-ray diffraction analyses (XRD) and scanning electron microscopy (SEM). In addition, microstructures of the corroded surfaces were characterized using X-ray mappings via SEM. Polarization curves indicated that Zn additions changed the pseudo-passivation behavior from what pure Al exhibited in a uniform dissolution regime. Furthermore, the addition of Zn shifted the corrosion potential to the active side and increased the corrosion rate. This behavior was consistent with the proportional decrease in polarization resistance (R_p) and charge transfer resistance (R_ct) in the EIS. The analysis of EIS was done using a mathematical model related to an adsorption electrochemical mechanism. The adsorption of chloride at the Al-Zn alloy surface formed aluminum chloride intermediates, which controlled the rate of the process. The rate constants of the reactions of a proposed chemical mechanism were evaluated.     

Machine Learning Approaches for Monitoring of Tool Wear during Grey Cast-Iron Turning

The dynamic development of new technologies enables the optimal computer technique choice to improve the required quality in today’s manufacturing industries. One of the methods of improving the determining process is machine learning. This paper compares different intelligent system methods to identify the tool wear during the turning of gray cast-iron EN-GJL-250 using carbide cutting inserts. During these studies, the experimental investigation was conducted with three various cutting speeds vc (216, 314, and 433 m/min) and the exact value of depth of cut a_p and federate f. Furthermore, based on the vibration acceleration signals, appropriate measures were developed that were correlated with the tool condition. In this work, machine learning methods were used to predict tool condition; therefore, two tool classes were proposed, namely usable and unsuitable, and tool corner wear VBc = 0.3 mm was assumed as a wear criterium. The diagnostic measures based on acceleration vibration signals were selected as input to the models. Additionally, the assessment of significant features in the division into usable and unsuitable class was caried out. Finally, this study evaluated chosen methods (classification and regression tree, induced fuzzy rules, and artificial neural network) and selected the most effective model.