Pub Date : 2022-01-01DOI: 10.4236/jbise.2022.159021
Xu Zhuang, Y. Homma, Taichi Sato, T. Baba, I. Morohashi, H. Iwase, Kazuo Kaneko, M. Ishijima
{"title":"Factors Influence on the Broaching Hammering Sound during Cementless Total Hip Arthroplasty","authors":"Xu Zhuang, Y. Homma, Taichi Sato, T. Baba, I. Morohashi, H. Iwase, Kazuo Kaneko, M. Ishijima","doi":"10.4236/jbise.2022.159021","DOIUrl":"https://doi.org/10.4236/jbise.2022.159021","url":null,"abstract":"","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":"111 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70884405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.4236/jbise.2022.158019
C. Ezeruigbo
Background: Individuals experiencing mental illness and diagnosed with highly infectious diseases (HID) are doubly stigmatized. Identifying the factors influencing student’s willingness to care for this special population is essential not only to inform stigma reduction strategies but also to provide useful information towards building a critical mass of future compassionate caregivers with ultimate goal of improving the quality of nursing care for mentally ill persons. Methodology: A cross-sectional descriptive research design was utilized to examine 200 participants from a training institution in Ebonyi state. Data was collected using validated author constructed instrument. Descriptive and inferential statistics were utilized to analyze data. Result: Multiple logistic regression analysis revealed that the variables were statistically significant at χ 2 (4) = 23.133, p < 0.001. This demonstrates that all factors (gender, marital status, incentives, and family type) influence student nurses’ willingness to work with mentally ill patients who have highly infectious diseases. Conclusion: The findings of this study suggest that appropriate institutional policies, additional training, and incentives should be adopted to boost student motivation.
背景:患有精神疾病和被诊断为高度传染性疾病(HID)的个体受到双重污名化。确定影响学生照顾这一特殊人群意愿的因素不仅对减少耻辱感的策略至关重要，而且对建立未来有同情心的照顾者的关键质量提供有用的信息，最终目标是提高对精神疾病患者的护理质量。方法:采用横断面描述性研究设计，对埃邦伊州一家培训机构的200名参与者进行了调查。数据采集采用作者设计的验证仪器。采用描述性统计和推断性统计对数据进行分析。结果:多元logistic回归分析各变量差异有统计学意义，χ 2 (4) = 23.133, p < 0.001。这表明，所有因素(性别、婚姻状况、动机和家庭类型)都会影响学生护士与患有高度传染性疾病的精神病患者合作的意愿。结论:本研究结果表明，应采取适当的制度政策、额外的培训和激励措施来提高学生的学习动机。
{"title":"Factors Influencing Student Nurses’ Willingness to Care for Mentally Ill Patients with Highly Infectious Diseases in Nigeria: A Cross-Sectional Study","authors":"C. Ezeruigbo","doi":"10.4236/jbise.2022.158019","DOIUrl":"https://doi.org/10.4236/jbise.2022.158019","url":null,"abstract":"Background: Individuals experiencing mental illness and diagnosed with highly infectious diseases (HID) are doubly stigmatized. Identifying the factors influencing student’s willingness to care for this special population is essential not only to inform stigma reduction strategies but also to provide useful information towards building a critical mass of future compassionate caregivers with ultimate goal of improving the quality of nursing care for mentally ill persons. Methodology: A cross-sectional descriptive research design was utilized to examine 200 participants from a training institution in Ebonyi state. Data was collected using validated author constructed instrument. Descriptive and inferential statistics were utilized to analyze data. Result: Multiple logistic regression analysis revealed that the variables were statistically significant at χ 2 (4) = 23.133, p < 0.001. This demonstrates that all factors (gender, marital status, incentives, and family type) influence student nurses’ willingness to work with mentally ill patients who have highly infectious diseases. Conclusion: The findings of this study suggest that appropriate institutional policies, additional training, and incentives should be adopted to boost student motivation.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70884494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.4236/jbise.2022.1512026
R. LeMoyne, Timothy Mastroianni
{"title":"Visualization of the Machine Learning Process Using J48 Decision Tree for Biometrics through ECG Signal","authors":"R. LeMoyne, Timothy Mastroianni","doi":"10.4236/jbise.2022.1512026","DOIUrl":"https://doi.org/10.4236/jbise.2022.1512026","url":null,"abstract":"","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70883550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.4236/jbise.2022.154012
Nuno Miguel Moreira Santos, Abel García Abejas, À. Vergés
{"title":"ePROMs in the End of Life and in Making Ethical Decisions. An Integrative Review with Narrative","authors":"Nuno Miguel Moreira Santos, Abel García Abejas, À. Vergés","doi":"10.4236/jbise.2022.154012","DOIUrl":"https://doi.org/10.4236/jbise.2022.154012","url":null,"abstract":"","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70883732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.4236/jbise.2022.153011
H. Tamaki, F. Ogita
{"title":"Tremor Associated with Muscle Fatigue Is Temporary and Beneficial: A Case Report","authors":"H. Tamaki, F. Ogita","doi":"10.4236/jbise.2022.153011","DOIUrl":"https://doi.org/10.4236/jbise.2022.153011","url":null,"abstract":"","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70883659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.4236/jbise.2022.151006
Satoshi Suzuki, G. Sun, Masaaki Hoshiga, K. Kotani, T. Asao
This study aims to confirm whether noncontact monitoring of relative changes in blood pressure can be estimated using microwave radar sensors. First, an equation to estimate blood pressure was derived, after which, the effectiveness of the estimation equation was confirmed using data obtained by a noncontact method while inducing variations in blood pressure. We considered that the Bramwell-Hill equation, which contains some parameters that directly indicate changes in blood pressure, would be an appropriate reference to con-struct an estimation equation for the noncontact method, because measurements using microwave radar sensors can measure minute scale motion on the skin surface induced by the pulsation of blood vessels. In order to estimate relative changes in blood pressure, we considered a simple equation including the pulse transit time (PTT), amplitude of signals and body dimensions as parameters. To verify the effectiveness of the equation for estimating changes in blood pressure, two experiments were conducted: a cycling task using an ergometer, which induces blood pressure fluctuations because of After the converter, bandpass filters passband - 2.5 were applied to both radar outputs to reduce the noise and interference. These bandpass filters cover ranges of 30 - 150 heartbeats per minute. After bandpass filtering, to estimate the change in blood pressure, parameters were acquired from signal data, and the change in blood pressure was estimated using the equation with the acquired parameters as inputs.
{"title":"Noncontact Monitoring of Relative Changes in Blood Pressure Using Microwave Radar Sensors","authors":"Satoshi Suzuki, G. Sun, Masaaki Hoshiga, K. Kotani, T. Asao","doi":"10.4236/jbise.2022.151006","DOIUrl":"https://doi.org/10.4236/jbise.2022.151006","url":null,"abstract":"This study aims to confirm whether noncontact monitoring of relative changes in blood pressure can be estimated using microwave radar sensors. First, an equation to estimate blood pressure was derived, after which, the effectiveness of the estimation equation was confirmed using data obtained by a noncontact method while inducing variations in blood pressure. We considered that the Bramwell-Hill equation, which contains some parameters that directly indicate changes in blood pressure, would be an appropriate reference to con-struct an estimation equation for the noncontact method, because measurements using microwave radar sensors can measure minute scale motion on the skin surface induced by the pulsation of blood vessels. In order to estimate relative changes in blood pressure, we considered a simple equation including the pulse transit time (PTT), amplitude of signals and body dimensions as parameters. To verify the effectiveness of the equation for estimating changes in blood pressure, two experiments were conducted: a cycling task using an ergometer, which induces blood pressure fluctuations because of After the converter, bandpass filters passband - 2.5 were applied to both radar outputs to reduce the noise and interference. These bandpass filters cover ranges of 30 - 150 heartbeats per minute. After bandpass filtering, to estimate the change in blood pressure, parameters were acquired from signal data, and the change in blood pressure was estimated using the equation with the acquired parameters as inputs.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70883884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.4236/jbise.2021.148027
D. Hart
Over 30 years ago, it was reported by Caplan that cells could be found in various adult tissues and fluids of a variety of species that could be induced in vitro to progress towards lineages such as chondrogenesis, osteogenesis and adipogenesis with different “cocktails” of reagents. These cells were called Mesenchymal Stem Cells (MSC) to reflect this pluripotency. After 30 years of intense research effort to directly use such cells for the repair or regeneration of damaged or injured tissues, the effort has met with limited in vivo success, but their use for in vitro tissue engineering has met with some success. This failure to live up to expectations for in vivo differentiation success has led Caplan to recently rename these cells Medicinal Signaling Cells (MSC) to reflect other abilities of these cells to secrete mediators and release exosomes containing biologically active molecules that can influence their neighboring cells in a paracrine manner. However, neither of these names completely captures the combined apparent in vivo functioning of MSC and their in vitro abilities to exhibit pluripotent behavior. Thus, it is suggested, based on the attributes of these cells and their tissue and clonal heterogeneity, that an alternative name be applied to these cells and they be described as Pluripotent Mesenchymal Regulatory Cells (PMRC). This name reflects their regulatory function as pericytes in tissues, as well as their well-known immunoregulatory activity when injected into the intra-articular space and their influence on activities such as wound healing. It also reflects their ability to differentiate along several different lineages to facilitate tissue engineering approaches for tissue repair.
{"title":"Perspective: Is It Time to Rename MSC (Mesenchymal Stem Cells/Medicinal Signaling Cells) with a Name that Reflects Their Combined In Vivo Functions and Their In Vitro Abilities?—Possibly “Pluripotent Mesenchymal Regulatory Cells (PMRC)”","authors":"D. Hart","doi":"10.4236/jbise.2021.148027","DOIUrl":"https://doi.org/10.4236/jbise.2021.148027","url":null,"abstract":"Over 30 years ago, it was reported by Caplan that cells could be found in various adult tissues and fluids of a variety of species that could be induced in vitro to progress towards lineages such as chondrogenesis, osteogenesis and adipogenesis with different “cocktails” of reagents. These cells were called Mesenchymal Stem Cells (MSC) to reflect this pluripotency. After 30 years of intense research effort to directly use such cells for the repair or regeneration of damaged or injured tissues, the effort has met with limited in vivo success, but their use for in vitro tissue engineering has met with some success. This failure to live up to expectations for in vivo differentiation success has led Caplan to recently rename these cells Medicinal Signaling Cells (MSC) to reflect other abilities of these cells to secrete mediators and release exosomes containing biologically active molecules that can influence their neighboring cells in a paracrine manner. However, neither of these names completely captures the combined apparent in vivo functioning of MSC and their in vitro abilities to exhibit pluripotent behavior. Thus, it is suggested, based on the attributes of these cells and their tissue and clonal heterogeneity, that an alternative name be applied to these cells and they be described as Pluripotent Mesenchymal Regulatory Cells (PMRC). This name reflects their regulatory function as pericytes in tissues, as well as their well-known immunoregulatory activity when injected into the intra-articular space and their influence on activities such as wound healing. It also reflects their ability to differentiate along several different lineages to facilitate tissue engineering approaches for tissue repair.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42896440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.4236/jbise.2021.147026
Wei Hu
Using neural networks for supervised learning means learning a function that maps input x to output y. However, in many applications, the inverse learning is also wanted, i.e., inferring y from x, which requires invertibility of the learning. Since the dimension of input is usually much higher than that of the output, there is information loss in the forward learning from input to output. Thus, creating invertible neural networks is a difficult task. However, recent development of invertible learning techniques such as normalizing flows has made invertible neural networks a reality. In this work, we applied flow-based invertible neural networks as generative models to inverse molecule design. In this context, the forward learning is to predict chemical properties given a molecule, and the inverse learning is to infer the molecules given the chemical properties. Trained on 100 and 1000 molecules, respectively, from a benchmark dataset QM9, our model identified novel molecules that had chemical property values well exceeding the limits of the training molecules as well as the limits of the whole QM9 of 133,885 molecules, moreover our generative model could easily sample many molecules (x values) from any one chemical property value (y value). Compared with the previous method in the literature that could only optimize one molecule for one chemical property value at a time, our model could be trained once and then be sampled any multiple times and for any chemical property values without the need of retraining. This advantage comes from treating inverse molecule design as an inverse regression problem. In summary, our main contributions were two: 1) our model could generalize well from the training data and was very data efficient, 2) our model could learn bidirectional correspondence between molecules and their chemical properties, thereby offering the ability to sample any number of molecules from any y values. In conclusion, our findings revealed the efficiency and effectiveness of using invertible neural networks as generative models in inverse molecule design.
{"title":"Inverse Molecule Design with Invertible Neural Networks as Generative Models","authors":"Wei Hu","doi":"10.4236/jbise.2021.147026","DOIUrl":"https://doi.org/10.4236/jbise.2021.147026","url":null,"abstract":"Using neural networks for supervised learning means learning a function that maps input x to output y. However, in many applications, the inverse learning is also wanted, i.e., inferring y from x, which requires invertibility of the learning. Since the dimension of input is usually much higher than that of the output, there is information loss in the forward learning from input to output. Thus, creating invertible neural networks is a difficult task. However, recent development of invertible learning techniques such as normalizing flows has made invertible neural networks a reality. In this work, we applied flow-based invertible neural networks as generative models to inverse molecule design. In this context, the forward learning is to predict chemical properties given a molecule, and the inverse learning is to infer the molecules given the chemical properties. Trained on 100 and 1000 molecules, respectively, from a benchmark dataset QM9, our model identified novel molecules that had chemical property values well exceeding the limits of the training molecules as well as the limits of the whole QM9 of 133,885 molecules, moreover our generative model could easily sample many molecules (x values) from any one chemical property value (y value). Compared with the previous method in the literature that could only optimize one molecule for one chemical property value at a time, our model could be trained once and then be sampled any multiple times and for any chemical property values without the need of retraining. This advantage comes from treating inverse molecule design as an inverse regression problem. In summary, our main contributions were two: 1) our model could generalize well from the training data and was very data efficient, 2) our model could learn bidirectional correspondence between molecules and their chemical properties, thereby offering the ability to sample any number of molecules from any y values. In conclusion, our findings revealed the efficiency and effectiveness of using invertible neural networks as generative models in inverse molecule design.","PeriodicalId":64231,"journal":{"name":"生物医学工程(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45651861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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