Ahmadfraser1537

BACKGROUND Traditional Chinese medicine (TCM) massage has a better effect on treating infant diarrhea compared to medical treatment. The TCM doctors need to be trained to master professional massage techniques. Traditional Chinese massage training relies on the students' understanding ability, and cannot accurately record the students' operating information. This situation leads to insufficient clinical massage skills of the students. OBJECTIVE This paper proposes a novel massage training platform to quantitatively perceive the massage techniques of students. METHODS The paper proposed two types of flexible array sensors, which are arranged and placed into the bionic baby according to the position of the human acupoints. The massage techniques of the training object can be analyzed and evaluated during the massage process by studying the voltage from pressure sensors when the participants massage the bionic infant. RESULTS A medical student was invited to conduct the massage training experiment, and the massage information included the operating strength, massage frequency and the massage direction, which were recorded and analyzed through the training platform. CONCLUSION The platform can perceive the parameters related to the massage technique of students and can be used for medical training.BACKGROUND Minimally invasive surgery (MIS), unlike open surgery in which surgeons can perform surgery directly, is performed using miniaturized instruments with indirect but careful observation of the surgical site. OBJECTIVE Instrument detection is a crucial requirement in conventional and robot-assisted MIS, which can also be very useful during surgical training. In this paper, we propose a novel framework of using two three-layer convolutional neural networks (CNNs) in a series to detect surgical instrument in in-vivo video frames. METHODS The two convolutional neural networks proposed in this paper have different tasks. (i) The former CNN is trained to detect the edges points of the instrument shaft directly from images patches. (ii) The latter is trained to locate the instrument tip also from images patches after the former detection finishes. RESULTS We validated our method on the publicly available EndoVisSub dataset and a standard dataset, and it detected tools with an accuracy of 91.2% and 75% respectively. CONCLUSION Our two-step detection method achieves better performance than other existing approaches in terms of detection accuracy.BACKGROUND Studies on robot-assisted gait training rehabilitation in multiple sclerosis have reported positive effects on mobility and quality of life. However, their effects on cognitive functions are difficult to determine because not all trials have included cognition assessments. Virtual reality-based training provides enhanced opportunity for stimulating cognitive abilities by repetitive practice, feedback information, and motivation for endurance practice. OBJECTIVE To compare the effects of innovative robot-assisted gait training combined with virtual reality versus standard robot-assisted gait training on information processing speed, sustained attention, working memory, and walking endurance in patients with multiple sclerosis. METHODS Seventeen outpatients were randomly assigned to receive robot-assisted gait training either with or without virtual reality. The robot assisted gait training + virtual reality group underwent end-effector system training engendered by virtual reality. The standard traitions. However larger positive effects on gait ability were noted after robot-assisted gait training engendered by virtual reality with multiple sclerosis. Robot-assisted gait training provides a therapeutic alternative and motivational of traditional motor rehabilitation.BACKGROUND Emotionalism, i.e. uncontrolled episodes of crying (or less commonly laughing) post stroke that are not triggered by situations that would have previously provoked such behavior occur in stroke survivors, may persist in some, and can be socially embarrassing. OBJECTIVE To evaluate whether pharmacological interventions are beneficial, acceptable, and safe in the treatment of emotionalism post stroke. Selleckchem GX15-070 METHODS A Cochrane review by Allida et al. was summarized with comments. RESULTS From a total of 7 eligible trials with a total of 239 participants included in the review, five with 213 participants could be used for data extraction. Very low to moderate quality evidence pointed to some beneficial effects of antidepressants in the treatment of emotionalism after stroke. CONCLUSIONS The available data suggest that antidepressants may reduce the frequency and severity of crying or laughing episodes in stroke survivors with emotionalism.BACKGROUND Inguinal hernia is the most common surgical procedure performed in infants. Still, there is major debate about the optimal timing of performing this procedure. The goal of this review is to determine the incidence of inguinal hernia among our infant population in Jordan, review the current practice regarding the timing of repair, and identify the risk of incarceration and postoperative apnea. METHODS A retrospective cohort study of chart review of infants admitted with inguinal hernia in the period 2012-2016. Data collected about demographics, timing of diagnosis, timing of repair, exploration of contralateral side, incarceration, and postoperative apnea. RESULTS A total of 272 infants were diagnosed with inguinal hernia. The overall incidence was 1.9%, compared with 11% among premature babies 7-day delay in repair. Only one case developed apnea and required intubation postoperatively. CONCLUSIONS Our approach of elective inguinal hernia repair seems to be safe without increasing risk of complications like incarceration or postoperative apnea if performed within seven days following diagnosis.BACKGROUND Precision medicine, described as a therapeutic procedure in which complex diseases are treated based on the causal gene and pathophysiology, is being considered for diabetes mellitus (DM). To this end, several monogenetic mutations in the beta cells have been linked with neonatal diabetes mellitus (NDM), however, the list of suspect genes is expansive, necessitating an update. This study, therefore, provides an update on NDM candidate genes and pathophysiology. RESULTS Reputable online academic databases were searched for relevant information, which led to the identification of 43 genes whose mutations are linked to the condition. Of the linked genes, mutations in the KCNJ11, ABCC8, and INS genes as well as the genes on 6q24 chromosomal region are the most frequently implicated. Mutations in these genes can cause pancreatic agenesis and developmental errors, resulting in NDM in the first six to twelve months of birth. The clinical presentations of NDM include frequent urination, rapid breathing, and dehydration, among others.