The advent of the Age of Information brings about bright prospects to Network-based Language Learning(NBLL).The thesis adopts the Engagement Theory as guided principles.The purpose is to use the novel NBLL model effec...The advent of the Age of Information brings about bright prospects to Network-based Language Learning(NBLL).The thesis adopts the Engagement Theory as guided principles.The purpose is to use the novel NBLL model effectively with the help of modern technology especially in less-developed areas.This thesis focuses on network-based experimental study.The research shows that the students under NBLL environment have cultivated the capabilities in information collection,computer operation,and information evaluation,as well as the abilities in problem solving,reasoning with criticism,and cooperating with others.展开更多
In this paper,we propose a sub-6GHz channel assisted hybrid beamforming(HBF)for mmWave system under both line-of-sight(LOS)and non-line-of-sight(NLOS)scenarios without mmWave channel estimation.Meanwhile,we resort to ...In this paper,we propose a sub-6GHz channel assisted hybrid beamforming(HBF)for mmWave system under both line-of-sight(LOS)and non-line-of-sight(NLOS)scenarios without mmWave channel estimation.Meanwhile,we resort to the selfsupervised approach to eliminate the need for labels,thus avoiding the accompanied high cost of data collection and annotation.We first construct the dense connection network(DCnet)with three modules:the feature extraction module for extracting channel characteristic from a large amount of channel data,the feature fusion module for combining multidimensional features,and the prediction module for generating the HBF matrices.Next,we establish a lightweight network architecture,named as LDnet,to reduce the number of model parameters and computational complexity.The proposed sub-6GHz assisted approach eliminates mmWave pilot resources compared to the method using mmWave channel information directly.The simulation results indicate that the proposed DCnet and LDnet can achieve the spectral efficiency that is superior to the traditional orthogonal matching pursuit(OMP)algorithm by 13.66% and 10.44% under LOS scenarios and by 32.35% and 27.75% under NLOS scenarios,respectively.Moreover,the LDnet achieves 98.52% reduction in the number of model parameters and 22.93% reduction in computational complexity compared to DCnet.展开更多
Using robotic devices might improve recovery post-stroke, but the optimal way to apply robotic assistance has yet to be determined. The current study aimed to investigate whether training under the robotic active-assi...Using robotic devices might improve recovery post-stroke, but the optimal way to apply robotic assistance has yet to be determined. The current study aimed to investigate whether training under the robotic active-assisted mode improves bimanual motor skill learning(biMSkL) more than training under the active mode in stroke patients. Twenty-six healthy individuals(HI) and 23 chronic hemiparetic stroke patients with a detectable lesion on MRI or CT scan, who demonstrated motor deficits in the upper limb, were randomly allocated to two parallel groups. The protocol included a two-day training on a new bimanual cooperative task, LIFT-THE-TRAY, under either the active or activeassisted modes(where assistance decreased in a pre-determined stepwise fashion) with the bimanual version of the REAplan? robotic device. The hypothesis was that the active-assisted mode would result in greater biMSkL than the active mode. The biMSkL was quantified by a speed-accuracy trade-off(SAT) before(T1) and immediately after(T2) training on days 1 and 2(T3 and T4). The change in SAT after 2 days of training(T4/T1) indicated that both HI and stroke patients learned and retained the bimanual cooperative task. After 2 days of training, the active-assisted mode did not improve biMSkL more than the active mode(T4/T1) in HI nor stroke patients. Whereas HI generalized the learned bimanual skill to different execution speeds in both the active and active-assisted subgroups, the stroke patients generalized the learned skill only in the active subgroup. Taken together, the active-assisted mode, applied in a pre-determined stepwise decreasing fashion, did not improve biMSkL more than the active mode in HI and stroke subjects. Stroke subjects might benefit more from robotic assistance when applied "as-needed." This study was approved by the local ethical committee(Comité d'éthique médicale, CHU UCL Namur, MontGodinne, Yvoir, Belgium;Internal number: 54/2010, Eudra CT number: NUB B039201317382) on July 14, 2016 and was registered with ClinicalTrials.gov(Identifier: NCT03974750) on June 5, 2019.展开更多
The advantages and disadvantages for learning English in the Network-based environment attract most researchers’concern nowadays.This study profiles college English teachers’beliefs about the networkbased language l...The advantages and disadvantages for learning English in the Network-based environment attract most researchers’concern nowadays.This study profiles college English teachers’beliefs about the networkbased language learning.The main finding is that teachers’beliefs about network-based language learning are heterogeneous and thus reflect a wide range in terms of the evolution of approaches and technology use.展开更多
With the swift development of network technology, research on how to integrate network technology into language learning has become a trend. This paper examines whether the application of language learning strategy(LL...With the swift development of network technology, research on how to integrate network technology into language learning has become a trend. This paper examines whether the application of language learning strategy(LLS) in the networkbased environment has incomparable superiority. Beginning with the literature review, it presents an analysis on similarities and differences between network-based language learning strategy(NBLLS) and non-NBLLS, and then expounds the characteristics,the influencing factors and teachers' role of NBLLS. Taking 25 participants in the group of non-NBLL and 34 in the NBLL group as the comparative survey study, the empirical result shows the new evidence that there is a little difference between the two groups in the use of LLS. The findings of this study have implications for the application of NBLLS.展开更多
"College English Curriculum Requirements", edited by Department of Higher Education(2007), put forward clearly one of the key points of the national College English teaching reform was to strengthen the appl..."College English Curriculum Requirements", edited by Department of Higher Education(2007), put forward clearly one of the key points of the national College English teaching reform was to strengthen the application of computer to college English teaching and apply computer-and-classroom-based English teaching mode, improving the previous mode dominated by a single teacher. Most colleges and universities in China have basically achieved the popularity of computer multimedia classrooms and campus networks. However, according to researches(Xia, 2002), most teachers still hold the main role of them in classes as"language interpreter"and"language instructor". Although advanced computer technology has been provided, most teachers feel confused or difficult in using it to assist their English teaching efficiently. As a consequence, computer technology fail to play its role in English classes. Driven by the great development of science and technology, computer has brought about incredible changes in every aspect of social life since 1980 s. In current times, almost every aspect of college students' life has been closely associated with computer. However, in most situations, computer is not taken as a typical language learning tool in their daily life. It is known that most students' English basis is relatively weak in vocational colleges; meanwhile, the way in which they learned English during the middle school period was basically translation- based teaching. Thus they have little or even no interest in English learning at all. In this way, discovering a new and interesting way with the aid of computer to learn English is of essential importance. Based on this, the paper discusses five major aspects under the circumstance of computer-assisted English learning. It is hoped that vocational college English teaching and learning can become more efficient by means of computer technology, finally students' English learning motivation and English competence can be enhanced to a great extent.展开更多
There are many reasons that motivate people to build online communities. The purpose of this study was to identify the topics that learners discuss when they are part of a computer assisted language learning course in...There are many reasons that motivate people to build online communities. The purpose of this study was to identify the topics that learners discuss when they are part of a computer assisted language learning course in order to answer the question “What are they talking about?”. We have examined an e-community of 618 students who were learning the Modern Greek language online. We analyzed their conversation topics directly from the discussion boards of the web-based course and sorted them into the pre-defined topic categories. The results of the study showed that during the first lessons of the course the students contributed more to social discussions which were unrelated to the course material. The reason of this outcome is that the students want to introduce themselves and meet their peers. As they progressed through the course’s lessons, however, their discussion topics became more course material related. The study ends with implications of the results and future research directions.展开更多
AIM:To describe the learning curves of hand-assisted laparoscopic D2 radical gastrectomy(HALG) for the treatment of gastric cancer.METHODS:The HALG surgical procedure consists of three stages:surgery under direct visi...AIM:To describe the learning curves of hand-assisted laparoscopic D2 radical gastrectomy(HALG) for the treatment of gastric cancer.METHODS:The HALG surgical procedure consists of three stages:surgery under direct vision via the port for hand assistance,hand-assisted laparoscopicsurgery,and gastrointestinal tract reconstruction.According to the order of the date of surgery,patients were divided into 6 groups(A-F) with 20 cases in each group.All surgeries were performed by the same group of surgeons.We performed a comprehensive and indepth retrospective comparative analysis of the clinical data of all patients,with the clinical data including general patient information and intraoperative and postoperative observation indicators.RESULTS:There were no differences in the basic information among the patient groups(P > 0.05).The operative time of the hand-assisted surgery stage in group A was 8-10 min longer than the other groups,with the difference being statistically significant(P = 0.01).There were no differences in total operative time between the groups(P = 0.30).Postoperative intestinal function recovery time in group A was longer than that of other groups(P = 0.02).Lengths of hospital stay and surgical quality indicators(such as intraoperative blood loss,numbers of detected lymph nodes,intraoperative side injury,postoperative complications,reoperation rate,and readmission rate 30 d after surgery) were not significantly different among the groups.CONCLUSION:HALG is a surgical procedure that can be easily mastered,with a learning curve closely related to the operative time of the hand-assisted laparoscopic surgery stage.展开更多
BACKGROUND: The inclusion of cardiopulmonary resuscitation(CPR) in formal education has been a useful approach to providing basic life support(BLS) services. However, because not all students have been able to learn d...BACKGROUND: The inclusion of cardiopulmonary resuscitation(CPR) in formal education has been a useful approach to providing basic life support(BLS) services. However, because not all students have been able to learn directly from certified instructors, we studied the educational efficacy of the use of peer-assisted learning(PAL) to train high-school students to perform BLS services.METHODS: This study consisted of 187 high-school students: 68 participants served as a control group and received a 1-hour BLS training from a school nurse, and 119 were included in a PAL group and received a 1-hour CPR training from a PAL leader. Participants' BLS training was preceded by the completion of questionnaires regarding their background. Three months after the training, the participants were asked to respond to questionnaires about their willingness to perform CPR on bystander CPR and their retention of knowledge of BLS.RESULTS: We found no statistically significant difference between the control and PAL groups in their willingness to perform CPR on bystanders(control: 55.2%, PAL: 64.7%, P=0.202). The PAL group was not significantly different from the control group(control: 60.78±39.77, PAL: 61.76±17.80, P=0.848) in retention of knowledge about BLS services.CONCLUSION: In educating high school students about BLS, there was no significant difference between PAL and traditional education in increasing the willingness to provide CPR to bystanders or the ability to retain knowledge about BLS.展开更多
Accessible communication based on sign language recognition(SLR)is the key to emergency medical assistance for the hearing-impaired community.Balancing the capture of both local and global information in SLR for emerg...Accessible communication based on sign language recognition(SLR)is the key to emergency medical assistance for the hearing-impaired community.Balancing the capture of both local and global information in SLR for emergency medicine poses a significant challenge.To address this,we propose a novel approach based on the inter-learning of visual features between global and local information.Specifically,our method enhances the perception capabilities of the visual feature extractor by strategically leveraging the strengths of convolutional neural network(CNN),which are adept at capturing local features,and visual transformers which perform well at perceiving global features.Furthermore,to mitigate the issue of overfitting caused by the limited availability of sign language data for emergency medical applications,we introduce an enhanced short temporal module for data augmentation through additional subsequences.Experimental results on three publicly available sign language datasets demonstrate the efficacy of the proposed approach.展开更多
In this paper, we propose new diagnostic assist systems of medical images using deep learning algorithms. Specifically, we aim to develop a diagnostic support system for the very early stage of chronic obstructive pul...In this paper, we propose new diagnostic assist systems of medical images using deep learning algorithms. Specifically, we aim to develop a diagnostic support system for the very early stage of chronic obstructive pulmonary disease (COPD) based on the CT images. It is said that COPD is a disease that develops due to long-term smoking, and it is said that there are a large number of latent onset reserve forces. By discovering this COPD in the very early period 0 and improving the living conditions, subsequent severity can be avoided in many cases, so a system that will help diagnosis by professional radiologists is needed. We show the some experimental results examined by the constructed system.展开更多
This study investigated the effect of a computer assisted learning (CAL) tool on the development of skills in palpation of the reproductive tract of the cow per rectum (rectal palpation) by fourth-year students in a B...This study investigated the effect of a computer assisted learning (CAL) tool on the development of skills in palpation of the reproductive tract of the cow per rectum (rectal palpation) by fourth-year students in a Bachelor of Veterinary Science (BVSc) degree program. A secondary aim was to determine if animal welfare could be improved by the CAL intervention. The CAL tool was developed to provide: vivid, three-dimensional interactive graphics of the relevant anatomy and skills;a comprehensive glossary of terminology used in association with the skills;and formative assessment tasks. Prior to its introduction to the course, industry stakeholders assessed the CAL tool graphics as an accurate depiction of the procedures. Two consecutive cohorts of students were surveyed prior to (n = 91) and after the CAL intervention (n = 111). Responses to student surveys suggested that post-intervention skills were learned at approximately the same rate as pre-intervention. However, tutor surveys indicated that students in the pre-intervention group may have had insufficient understanding for accurate self-assessment compared to post-intervention students. According to tutors, substantially more students in the post-intervention group gained practical skills at an improved rate and to a higher level of competency. Both student and tutor surveys indicated that there was a minimal discomfort to animals in these practical classes. From an animal welfare point-of-view, it was concluded that the intervention would not result in a reduction in the number of animals required during practical sessions. However, due to the preparation and reinforcement provided by the CAL tool, animals were used more efficiently by students after the intervention, resulting in the attainment of a higher level of skill. Knowledge gained from this study may be relevant to other disciplines requiring students to develop practical skills associated with animals or humans.展开更多
The purpose of this study was to establish factors that lead to poor integration of Information and communication technology （ICT） for teaching and learning in schools in Kenya, despite comprehensive policy, institu...The purpose of this study was to establish factors that lead to poor integration of Information and communication technology （ICT） for teaching and learning in schools in Kenya, despite comprehensive policy, institutional, infrastructural frameworks and capacity building by the Ministry of Education. The subject of this study was administered by use of questionnaires in three categories of public schools： national school, provincial schools and district schools. The respondents were students from each level that is from one, two, three and four and teachers based on the most offered subjects in the secondary schools. The computer assisted learning facilities were classified into computers, internet and content in optical media. In national school Internet based research, optical media content provided by Kenya Institute of Curriculum Development and Cyber School program for science subjects was used in learning. In provincial school, it lacks adequate computers, reliable Internet and content in optical media. In district school, it lacks adequate computer, no internet connection and content in optical media. A learner management system which can be accessed by all learners by use of any internet access devices like mobile phone access will be an ideal tool with over 4,000,000 mobile phone subscribers currently in Kenya.展开更多
Aim: Laparoscopy-assisted distal gastrectomy (LADG) with regional lymph node dissection is a treatment option for patient with early gastric cancer. However, LADG is a technically complex and advanced procedure, which...Aim: Laparoscopy-assisted distal gastrectomy (LADG) with regional lymph node dissection is a treatment option for patient with early gastric cancer. However, LADG is a technically complex and advanced procedure, which is challenging for inexperienced surgeons. In this report, we retrospectively evaluated the learning curve for LADG of a single surgeon with no previous experience in LADG and the usefulness of direct instruction by a surgeon experienced in LADG in shortening the learning curve. Patients and Methods: This study was analyzed 80 consecutive patients, who underwent LADG by a single surgeon (first assistant in 10 cases and operator in 70 cases) between January 2008 and December 2012. Patients were divided into 3 sequential groups of 10 (training period), 30 (learning period), and 40 (operating period) cases in each group. Median operation time and estimated blood loss for these 3 groups were determined. Other learning indicators, including transfusion requirement, postoperative complications, number of lymph node harvested, and rate of conversion open gastrectomy, were also evaluated. Results: During the training period, median operation time and estimated blood loss were 219.5 min and 83.0 ml, respectively. During the learning period, the operation time was significantly longer than that of training period. In the operating period, the operation time was significantly lesser than that during the learning period. However, the operation time was not different from that during the training period and reached a plateau. The estimated blood loss during the operating period was significantly lesser than that during the learning period. The difference in the number of lymph nodes retrieved between each group was not significant. Conclusions: Direct instructions by an experienced surgeon can decrease the number of cases required for learning. Because LADG is technically more complex than other laparoscopic procedures, standardization of LADG and an effective training system for performing it should be established.展开更多
Assisted diagnosis using artificial intelligence has been a holy grail in medical research for many years,and recent developments in computer hardware have enabled the narrower area of machine learning to equip clinic...Assisted diagnosis using artificial intelligence has been a holy grail in medical research for many years,and recent developments in computer hardware have enabled the narrower area of machine learning to equip clinicians with potentially useful tools for computer assisted diagnosis(CAD)systems.However,training and assessing a computer's ability to diagnose like a human are complex tasks,and successful outcomes depend on various factors.We have focused our work on gastrointestinal(GI)endoscopy because it is a cornerstone for diagnosis and treatment of diseases of the GI tract.About 2.8 million luminal GI(esophageal,stomach,colorectal)cancers are detected globally every year,and although substantial technical improvements in endoscopes have been made over the last 10-15 years,a major limitation of endoscopic examinations remains operator variation.This translates into a substantial inter-observer variation in the detection and assessment of mucosal lesions,causing among other things an average polyp miss-rate of 20%in the colon and thus the subsequent development of a number of post-colonoscopy colorectal cancers.CAD systems might eliminate this variation and lead to more accurate diagnoses.In this editorial,we point out some of the current challenges in the development of efficient computer-based digital assistants.We give examples of proposed tools using various techniques,identify current challenges,and give suggestions for the development and assessment of future CAD systems.展开更多
The human motion data collected using wearables like smartwatches can be used for activity recognition and emergency event detection.This is especially applicable in the case of elderly or disabled people who live sel...The human motion data collected using wearables like smartwatches can be used for activity recognition and emergency event detection.This is especially applicable in the case of elderly or disabled people who live self-reliantly in their homes.These sensors produce a huge volume of physical activity data that necessitates real-time recognition,especially during emergencies.Falling is one of the most important problems confronted by older people and people with movement disabilities.Numerous previous techniques were introduced and a few used webcam to monitor the activity of elderly or disabled people.But,the costs incurred upon installation and operation are high,whereas the technology is relevant only for indoor environments.Currently,commercial wearables use a wireless emergency transmitter that produces a number of false alarms and restricts a user’s movements.Against this background,the current study develops an Improved WhaleOptimizationwithDeep Learning-Enabled Fall Detection for Disabled People(IWODL-FDDP)model.The presented IWODL-FDDP model aims to identify the fall events to assist disabled people.The presented IWODLFDDP model applies an image filtering approach to pre-process the image.Besides,the EfficientNet-B0 model is utilized to generate valuable feature vector sets.Next,the Bidirectional Long Short Term Memory(BiLSTM)model is used for the recognition and classification of fall events.Finally,the IWO method is leveraged to fine-tune the hyperparameters related to the BiLSTM method,which shows the novelty of the work.The experimental analysis outcomes established the superior performance of the proposed IWODL-FDDP method with a maximum accuracy of 97.02%.展开更多
文摘The advent of the Age of Information brings about bright prospects to Network-based Language Learning(NBLL).The thesis adopts the Engagement Theory as guided principles.The purpose is to use the novel NBLL model effectively with the help of modern technology especially in less-developed areas.This thesis focuses on network-based experimental study.The research shows that the students under NBLL environment have cultivated the capabilities in information collection,computer operation,and information evaluation,as well as the abilities in problem solving,reasoning with criticism,and cooperating with others.
基金supported in part by the National Natural Science Foundation of China under Grants 62325107,62341107,62261160650,and U23A20272in part by the Beijing Natural Science Foundation under Grant L222002.
文摘In this paper,we propose a sub-6GHz channel assisted hybrid beamforming(HBF)for mmWave system under both line-of-sight(LOS)and non-line-of-sight(NLOS)scenarios without mmWave channel estimation.Meanwhile,we resort to the selfsupervised approach to eliminate the need for labels,thus avoiding the accompanied high cost of data collection and annotation.We first construct the dense connection network(DCnet)with three modules:the feature extraction module for extracting channel characteristic from a large amount of channel data,the feature fusion module for combining multidimensional features,and the prediction module for generating the HBF matrices.Next,we establish a lightweight network architecture,named as LDnet,to reduce the number of model parameters and computational complexity.The proposed sub-6GHz assisted approach eliminates mmWave pilot resources compared to the method using mmWave channel information directly.The simulation results indicate that the proposed DCnet and LDnet can achieve the spectral efficiency that is superior to the traditional orthogonal matching pursuit(OMP)algorithm by 13.66% and 10.44% under LOS scenarios and by 32.35% and 27.75% under NLOS scenarios,respectively.Moreover,the LDnet achieves 98.52% reduction in the number of model parameters and 22.93% reduction in computational complexity compared to DCnet.
基金supported by the following grants Fonds de la Recherche Scientifique–FNRS 1.R.506.161.R.506.18&1.R.506.20+8 种基金Fonds de la Recherche Scientifique Médicale(FRSM)3.4.525.08.FFonds Spécial de Recherche(FSR)from the UCLouvainFondation Van Goethem-BrichantFondation Mont-Godinnesupported by the following grants FRNS-FRIA n°F3/5/5-MCF/ROI/BC-19727 and F3/5/5-MCF/XH/FC-17514Fondation Mont-Godinne 2018supported by grants from the Fondation Mont-Godinne 2015-2016Fonds Spécial de Recherche(FSR)of the UCLouvain 2016-2018Fondation Roi Baudouin/Fonds Amélie 2018-2019。
文摘Using robotic devices might improve recovery post-stroke, but the optimal way to apply robotic assistance has yet to be determined. The current study aimed to investigate whether training under the robotic active-assisted mode improves bimanual motor skill learning(biMSkL) more than training under the active mode in stroke patients. Twenty-six healthy individuals(HI) and 23 chronic hemiparetic stroke patients with a detectable lesion on MRI or CT scan, who demonstrated motor deficits in the upper limb, were randomly allocated to two parallel groups. The protocol included a two-day training on a new bimanual cooperative task, LIFT-THE-TRAY, under either the active or activeassisted modes(where assistance decreased in a pre-determined stepwise fashion) with the bimanual version of the REAplan? robotic device. The hypothesis was that the active-assisted mode would result in greater biMSkL than the active mode. The biMSkL was quantified by a speed-accuracy trade-off(SAT) before(T1) and immediately after(T2) training on days 1 and 2(T3 and T4). The change in SAT after 2 days of training(T4/T1) indicated that both HI and stroke patients learned and retained the bimanual cooperative task. After 2 days of training, the active-assisted mode did not improve biMSkL more than the active mode(T4/T1) in HI nor stroke patients. Whereas HI generalized the learned bimanual skill to different execution speeds in both the active and active-assisted subgroups, the stroke patients generalized the learned skill only in the active subgroup. Taken together, the active-assisted mode, applied in a pre-determined stepwise decreasing fashion, did not improve biMSkL more than the active mode in HI and stroke subjects. Stroke subjects might benefit more from robotic assistance when applied "as-needed." This study was approved by the local ethical committee(Comité d'éthique médicale, CHU UCL Namur, MontGodinne, Yvoir, Belgium;Internal number: 54/2010, Eudra CT number: NUB B039201317382) on July 14, 2016 and was registered with ClinicalTrials.gov(Identifier: NCT03974750) on June 5, 2019.
文摘The advantages and disadvantages for learning English in the Network-based environment attract most researchers’concern nowadays.This study profiles college English teachers’beliefs about the networkbased language learning.The main finding is that teachers’beliefs about network-based language learning are heterogeneous and thus reflect a wide range in terms of the evolution of approaches and technology use.
文摘With the swift development of network technology, research on how to integrate network technology into language learning has become a trend. This paper examines whether the application of language learning strategy(LLS) in the networkbased environment has incomparable superiority. Beginning with the literature review, it presents an analysis on similarities and differences between network-based language learning strategy(NBLLS) and non-NBLLS, and then expounds the characteristics,the influencing factors and teachers' role of NBLLS. Taking 25 participants in the group of non-NBLL and 34 in the NBLL group as the comparative survey study, the empirical result shows the new evidence that there is a little difference between the two groups in the use of LLS. The findings of this study have implications for the application of NBLLS.
文摘"College English Curriculum Requirements", edited by Department of Higher Education(2007), put forward clearly one of the key points of the national College English teaching reform was to strengthen the application of computer to college English teaching and apply computer-and-classroom-based English teaching mode, improving the previous mode dominated by a single teacher. Most colleges and universities in China have basically achieved the popularity of computer multimedia classrooms and campus networks. However, according to researches(Xia, 2002), most teachers still hold the main role of them in classes as"language interpreter"and"language instructor". Although advanced computer technology has been provided, most teachers feel confused or difficult in using it to assist their English teaching efficiently. As a consequence, computer technology fail to play its role in English classes. Driven by the great development of science and technology, computer has brought about incredible changes in every aspect of social life since 1980 s. In current times, almost every aspect of college students' life has been closely associated with computer. However, in most situations, computer is not taken as a typical language learning tool in their daily life. It is known that most students' English basis is relatively weak in vocational colleges; meanwhile, the way in which they learned English during the middle school period was basically translation- based teaching. Thus they have little or even no interest in English learning at all. In this way, discovering a new and interesting way with the aid of computer to learn English is of essential importance. Based on this, the paper discusses five major aspects under the circumstance of computer-assisted English learning. It is hoped that vocational college English teaching and learning can become more efficient by means of computer technology, finally students' English learning motivation and English competence can be enhanced to a great extent.
文摘There are many reasons that motivate people to build online communities. The purpose of this study was to identify the topics that learners discuss when they are part of a computer assisted language learning course in order to answer the question “What are they talking about?”. We have examined an e-community of 618 students who were learning the Modern Greek language online. We analyzed their conversation topics directly from the discussion boards of the web-based course and sorted them into the pre-defined topic categories. The results of the study showed that during the first lessons of the course the students contributed more to social discussions which were unrelated to the course material. The reason of this outcome is that the students want to introduce themselves and meet their peers. As they progressed through the course’s lessons, however, their discussion topics became more course material related. The study ends with implications of the results and future research directions.
文摘AIM:To describe the learning curves of hand-assisted laparoscopic D2 radical gastrectomy(HALG) for the treatment of gastric cancer.METHODS:The HALG surgical procedure consists of three stages:surgery under direct vision via the port for hand assistance,hand-assisted laparoscopicsurgery,and gastrointestinal tract reconstruction.According to the order of the date of surgery,patients were divided into 6 groups(A-F) with 20 cases in each group.All surgeries were performed by the same group of surgeons.We performed a comprehensive and indepth retrospective comparative analysis of the clinical data of all patients,with the clinical data including general patient information and intraoperative and postoperative observation indicators.RESULTS:There were no differences in the basic information among the patient groups(P > 0.05).The operative time of the hand-assisted surgery stage in group A was 8-10 min longer than the other groups,with the difference being statistically significant(P = 0.01).There were no differences in total operative time between the groups(P = 0.30).Postoperative intestinal function recovery time in group A was longer than that of other groups(P = 0.02).Lengths of hospital stay and surgical quality indicators(such as intraoperative blood loss,numbers of detected lymph nodes,intraoperative side injury,postoperative complications,reoperation rate,and readmission rate 30 d after surgery) were not significantly different among the groups.CONCLUSION:HALG is a surgical procedure that can be easily mastered,with a learning curve closely related to the operative time of the hand-assisted laparoscopic surgery stage.
文摘BACKGROUND: The inclusion of cardiopulmonary resuscitation(CPR) in formal education has been a useful approach to providing basic life support(BLS) services. However, because not all students have been able to learn directly from certified instructors, we studied the educational efficacy of the use of peer-assisted learning(PAL) to train high-school students to perform BLS services.METHODS: This study consisted of 187 high-school students: 68 participants served as a control group and received a 1-hour BLS training from a school nurse, and 119 were included in a PAL group and received a 1-hour CPR training from a PAL leader. Participants' BLS training was preceded by the completion of questionnaires regarding their background. Three months after the training, the participants were asked to respond to questionnaires about their willingness to perform CPR on bystander CPR and their retention of knowledge of BLS.RESULTS: We found no statistically significant difference between the control and PAL groups in their willingness to perform CPR on bystanders(control: 55.2%, PAL: 64.7%, P=0.202). The PAL group was not significantly different from the control group(control: 60.78±39.77, PAL: 61.76±17.80, P=0.848) in retention of knowledge about BLS services.CONCLUSION: In educating high school students about BLS, there was no significant difference between PAL and traditional education in increasing the willingness to provide CPR to bystanders or the ability to retain knowledge about BLS.
基金supported by the National Natural Science Foundation of China(No.62376197)the Tianjin Science and Technology Program(No.23JCYBJC00360)the Tianjin Health Research Project(No.TJWJ2025MS045).
文摘Accessible communication based on sign language recognition(SLR)is the key to emergency medical assistance for the hearing-impaired community.Balancing the capture of both local and global information in SLR for emergency medicine poses a significant challenge.To address this,we propose a novel approach based on the inter-learning of visual features between global and local information.Specifically,our method enhances the perception capabilities of the visual feature extractor by strategically leveraging the strengths of convolutional neural network(CNN),which are adept at capturing local features,and visual transformers which perform well at perceiving global features.Furthermore,to mitigate the issue of overfitting caused by the limited availability of sign language data for emergency medical applications,we introduce an enhanced short temporal module for data augmentation through additional subsequences.Experimental results on three publicly available sign language datasets demonstrate the efficacy of the proposed approach.
文摘In this paper, we propose new diagnostic assist systems of medical images using deep learning algorithms. Specifically, we aim to develop a diagnostic support system for the very early stage of chronic obstructive pulmonary disease (COPD) based on the CT images. It is said that COPD is a disease that develops due to long-term smoking, and it is said that there are a large number of latent onset reserve forces. By discovering this COPD in the very early period 0 and improving the living conditions, subsequent severity can be avoided in many cases, so a system that will help diagnosis by professional radiologists is needed. We show the some experimental results examined by the constructed system.
文摘This study investigated the effect of a computer assisted learning (CAL) tool on the development of skills in palpation of the reproductive tract of the cow per rectum (rectal palpation) by fourth-year students in a Bachelor of Veterinary Science (BVSc) degree program. A secondary aim was to determine if animal welfare could be improved by the CAL intervention. The CAL tool was developed to provide: vivid, three-dimensional interactive graphics of the relevant anatomy and skills;a comprehensive glossary of terminology used in association with the skills;and formative assessment tasks. Prior to its introduction to the course, industry stakeholders assessed the CAL tool graphics as an accurate depiction of the procedures. Two consecutive cohorts of students were surveyed prior to (n = 91) and after the CAL intervention (n = 111). Responses to student surveys suggested that post-intervention skills were learned at approximately the same rate as pre-intervention. However, tutor surveys indicated that students in the pre-intervention group may have had insufficient understanding for accurate self-assessment compared to post-intervention students. According to tutors, substantially more students in the post-intervention group gained practical skills at an improved rate and to a higher level of competency. Both student and tutor surveys indicated that there was a minimal discomfort to animals in these practical classes. From an animal welfare point-of-view, it was concluded that the intervention would not result in a reduction in the number of animals required during practical sessions. However, due to the preparation and reinforcement provided by the CAL tool, animals were used more efficiently by students after the intervention, resulting in the attainment of a higher level of skill. Knowledge gained from this study may be relevant to other disciplines requiring students to develop practical skills associated with animals or humans.
文摘The purpose of this study was to establish factors that lead to poor integration of Information and communication technology （ICT） for teaching and learning in schools in Kenya, despite comprehensive policy, institutional, infrastructural frameworks and capacity building by the Ministry of Education. The subject of this study was administered by use of questionnaires in three categories of public schools： national school, provincial schools and district schools. The respondents were students from each level that is from one, two, three and four and teachers based on the most offered subjects in the secondary schools. The computer assisted learning facilities were classified into computers, internet and content in optical media. In national school Internet based research, optical media content provided by Kenya Institute of Curriculum Development and Cyber School program for science subjects was used in learning. In provincial school, it lacks adequate computers, reliable Internet and content in optical media. In district school, it lacks adequate computer, no internet connection and content in optical media. A learner management system which can be accessed by all learners by use of any internet access devices like mobile phone access will be an ideal tool with over 4,000,000 mobile phone subscribers currently in Kenya.
文摘Aim: Laparoscopy-assisted distal gastrectomy (LADG) with regional lymph node dissection is a treatment option for patient with early gastric cancer. However, LADG is a technically complex and advanced procedure, which is challenging for inexperienced surgeons. In this report, we retrospectively evaluated the learning curve for LADG of a single surgeon with no previous experience in LADG and the usefulness of direct instruction by a surgeon experienced in LADG in shortening the learning curve. Patients and Methods: This study was analyzed 80 consecutive patients, who underwent LADG by a single surgeon (first assistant in 10 cases and operator in 70 cases) between January 2008 and December 2012. Patients were divided into 3 sequential groups of 10 (training period), 30 (learning period), and 40 (operating period) cases in each group. Median operation time and estimated blood loss for these 3 groups were determined. Other learning indicators, including transfusion requirement, postoperative complications, number of lymph node harvested, and rate of conversion open gastrectomy, were also evaluated. Results: During the training period, median operation time and estimated blood loss were 219.5 min and 83.0 ml, respectively. During the learning period, the operation time was significantly longer than that of training period. In the operating period, the operation time was significantly lesser than that during the learning period. However, the operation time was not different from that during the training period and reached a plateau. The estimated blood loss during the operating period was significantly lesser than that during the learning period. The difference in the number of lymph nodes retrieved between each group was not significant. Conclusions: Direct instructions by an experienced surgeon can decrease the number of cases required for learning. Because LADG is technically more complex than other laparoscopic procedures, standardization of LADG and an effective training system for performing it should be established.
基金the grants from Norwegian Research Council,No.282315
文摘Assisted diagnosis using artificial intelligence has been a holy grail in medical research for many years,and recent developments in computer hardware have enabled the narrower area of machine learning to equip clinicians with potentially useful tools for computer assisted diagnosis(CAD)systems.However,training and assessing a computer's ability to diagnose like a human are complex tasks,and successful outcomes depend on various factors.We have focused our work on gastrointestinal(GI)endoscopy because it is a cornerstone for diagnosis and treatment of diseases of the GI tract.About 2.8 million luminal GI(esophageal,stomach,colorectal)cancers are detected globally every year,and although substantial technical improvements in endoscopes have been made over the last 10-15 years,a major limitation of endoscopic examinations remains operator variation.This translates into a substantial inter-observer variation in the detection and assessment of mucosal lesions,causing among other things an average polyp miss-rate of 20%in the colon and thus the subsequent development of a number of post-colonoscopy colorectal cancers.CAD systems might eliminate this variation and lead to more accurate diagnoses.In this editorial,we point out some of the current challenges in the development of efficient computer-based digital assistants.We give examples of proposed tools using various techniques,identify current challenges,and give suggestions for the development and assessment of future CAD systems.
基金The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Large Groups Project under grant number(158/43)Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R77)+1 种基金Princess Nourah bint Abdulrahman University,Riyadh,Saudi ArabiaThe authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code:(22UQU4310373DSR52).
文摘The human motion data collected using wearables like smartwatches can be used for activity recognition and emergency event detection.This is especially applicable in the case of elderly or disabled people who live self-reliantly in their homes.These sensors produce a huge volume of physical activity data that necessitates real-time recognition,especially during emergencies.Falling is one of the most important problems confronted by older people and people with movement disabilities.Numerous previous techniques were introduced and a few used webcam to monitor the activity of elderly or disabled people.But,the costs incurred upon installation and operation are high,whereas the technology is relevant only for indoor environments.Currently,commercial wearables use a wireless emergency transmitter that produces a number of false alarms and restricts a user’s movements.Against this background,the current study develops an Improved WhaleOptimizationwithDeep Learning-Enabled Fall Detection for Disabled People(IWODL-FDDP)model.The presented IWODL-FDDP model aims to identify the fall events to assist disabled people.The presented IWODLFDDP model applies an image filtering approach to pre-process the image.Besides,the EfficientNet-B0 model is utilized to generate valuable feature vector sets.Next,the Bidirectional Long Short Term Memory(BiLSTM)model is used for the recognition and classification of fall events.Finally,the IWO method is leveraged to fine-tune the hyperparameters related to the BiLSTM method,which shows the novelty of the work.The experimental analysis outcomes established the superior performance of the proposed IWODL-FDDP method with a maximum accuracy of 97.02%.
