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1.
Nurs Leadersh (Tor Ont) ; 34(2): 45-53, 2021 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-34197294

RESUMO

Absenteeism rates among nurses have increased across Canada over the last several years, with work environment challenges and staffing shortages being possible contributors. With the onset of the COVID-19 pandemic, nurses have worked under increasingly stressful conditions. Unsurprisingly, many nurses are facing mental health challenges. Digital tools to support and enhance access to mental health services are one strategy to support the mental health of nurses. This paper outlines the digital tools and virtual programs available to support the mental health of nurses, recognizing that there is no single solution to address the mental health challenges faced by Canadian nurses during these difficult times.


Assuntos
Enfermeiras e Enfermeiros/psicologia , Grupos de Autoajuda , Rede Social , COVID-19/epidemiologia , COVID-19/enfermagem , Canadá , Humanos , Serviços de Saúde Mental/organização & administração , Aplicativos Móveis , Pandemias , SARS-CoV-2 , Tecnologia
2.
Sensors (Basel) ; 21(11)2021 Jun 02.
Artigo em Inglês | MEDLINE | ID: mdl-34199679

RESUMO

Emerging technologies in the context of Autonomous Vehicles (AV) have drastically evolved the industry's qualification requirements. AVs incorporate complex perception and control systems. Teaching the associated skills that are necessary for the analysis of such systems becomes a very difficult process and existing solutions do not facilitate learning. In this study, our efforts are devoted to proposingan open-source scale model vehicle platform that is designed for teaching the fundamental concepts of autonomous vehicles technologies that are adapted to undergraduate and technical students. The proposed platform is as realistic as possible in order to present and address all of the fundamental concepts that are associated with AV. It includes all on-board components of a stand-alone system, including low and high level functions. Such functionalities are detailed and a proof of concept prototype is presented. A set of experiments is carried out, and the results obtained using this prototype validate the usability of the model for the analysis of time- and energy-constrained systems, as well as distributed embedded perception systems.


Assuntos
Aprendizagem , Tecnologia , Humanos , Estudantes
3.
Artigo em Inglês | MEDLINE | ID: mdl-34199882

RESUMO

Over the last decade, medical education changed from traditional teaching methods to telematic and networking scholar and e-learning approach. The objective of the present systematic review was to evaluate the effectiveness and teachers/student's acceptability of e-learning applied to the field of orthodontics and paediatric dentistry. A database search of the literature was conducted on PubMed and Embase databases from January 2005 to May 2021. A total of 172 articles were identified by the electronic search, while a total of 32 papers were selected for qualitative analysis. Overall, 19 articles investigated the effectiveness of e-learning, and no difference of acceptability was reported between e-learning and traditional methods for a wide part of the articles selected. A total of 25 papers provided a satisfaction questionnaire for learners and all were positive in their attitude towards e-learning. The results showed that e-learning is an effective method of instruction, complementing the traditional teaching methods, and learners had a positive attitude and perception. The evidence of the present study reported a high level of acceptability and knowledge level of e-learning techniques, compared to frontal lecture methods, in the fields of orthodontics and paediatric dentistry.


Assuntos
COVID-19 , Ortodontia , Criança , Humanos , Pandemias , Odontopediatria , SARS-CoV-2 , Tecnologia
4.
Sensors (Basel) ; 21(11)2021 Jun 04.
Artigo em Inglês | MEDLINE | ID: mdl-34199981

RESUMO

The Internet of vehicles (IoV) is a rapidly emerging technological evolution of Intelligent Transportation System (ITS). This paper proposes SafeDrive, a dynamic driver profile (DDP) using a hybrid recommendation system. DDP is a set of functional modules, to analyses individual driver's behaviors, using prior violation and accident records, to identify driving risk patterns. In this paper, we have considered three synthetic data-sets for 1500 drivers based on their profile information, risk parameters information, and risk likelihood. In addition, we have also considered the driver's historical violation/accident data-set records based on four risk-score levels such as high-risk, medium-risk, low-risk, and no-risk to predict current and future driver risk scores. Several error calculation methods have been applied in this study to analyze our proposed hybrid recommendation systems' performance to classify the driver's data with higher accuracy based on various criteria. The evaluated results help to improve the driving behavior and broadcast early warning alarm to the other vehicles in IoV environment for the overall road safety. Moreover, the propoed model helps to provide a safe and predicted environment for vehicles, pedestrians, and road objects, with the help of regular monitoring of vehicle motion, driver behavior, and road conditions. It also enables accurate prediction of accidents beforehand, and also minimizes the complexity of on-road vehicles and latency due to fog/cloud computing servers.


Assuntos
Acidentes de Trânsito , Condução de Veículo , Acidentes de Trânsito/prevenção & controle , Internet , Fatores de Risco , Segurança , Tecnologia
5.
Sensors (Basel) ; 21(12)2021 Jun 10.
Artigo em Inglês | MEDLINE | ID: mdl-34200730

RESUMO

Today, the Internet of Things (IoT) is pervasive and characterized by the rapid growth of IoT platforms across different application domains, enabling a variety of business models and revenue streams. This opens new opportunities for companies to extend their collaborative networks and develop innovative cross-platform and cross-domain applications. However, the heterogeneity of today's platforms is a major roadblock for mass creation of IoT platform ecosystems, pointing at the current absence of technology enablers for an easy and innovative composition of tools/services from the existing platforms. In this paper, we present the Data Spine, a federated platform enabler that bridges IoT interoperability gaps and enables the creation of an ecosystem of heterogeneous IoT platforms in the manufacturing domain. The Data Spine allows the ecosystem to be extensible to meet the need for incorporating new tools/services and platforms. We present a reference implementation of the Data Spine and a quantitative evaluation to demonstrate adequate performance of the system. The evaluation suggests that the Data Spine provides a multitude of advantages (single sign-on, provision of a low-code development environment to support interoperability and an easy and intuitive creation of cross-platform applications, etc.) over the traditional approach of users joining multiple platforms separately.


Assuntos
Internet das Coisas , Ecossistema , Tecnologia
6.
Sensors (Basel) ; 21(12)2021 Jun 10.
Artigo em Inglês | MEDLINE | ID: mdl-34200758

RESUMO

Interest in autonomous vehicles (AVs) has significantly increased in recent years, but despite the huge research efforts carried out in the field of intelligent transportation systems (ITSs), several technological challenges must still be addressed before AVs can be extensively deployed in any environment. In this context, one of the key technological enablers is represented by the motion-planning and control system, with the aim of guaranteeing the occupants comfort and safety. In this paper, a trajectory-planning and control algorithm is developed based on a Model Predictive Control (MPC) approach that is able to work in different road scenarios (such as urban areas and motorways). This MPC is designed considering imitation-learning from a specific dataset (from real-world overtaking maneuver data), with the aim of getting human-like behavior. The algorithm is used to generate optimal trajectories and control the vehicle dynamics. Simulations and Hardware-In-the-Loop tests are carried out to demonstrate the effectiveness and computation efficiency of the proposed approach.


Assuntos
Acidentes de Trânsito , Comportamento Imitativo , Algoritmos , Humanos , Movimento (Física) , Tecnologia
7.
Sensors (Basel) ; 21(12)2021 Jun 10.
Artigo em Inglês | MEDLINE | ID: mdl-34200801

RESUMO

An ultrafast Active Quenching-Active Reset (AQAR) circuit is presented for the afterpulsing reduction in a Single Photon Avalanche Diode (SPAD). The proposed circuit is designed in a 28 nm Fully Depleted Silicon On Insulator (FD-SOI) CMOS technology. By exploiting the body biasing technique, the avalanche is detected very quickly and, consequently, is quenched very fast. The fast quenching decreases the avalanche charges, therefore resulting in the afterpulsing reduction. Both post-layout and experimental results are presented and are highly in accordance with each other. It is shown that the proposed AQAR circuit is able to detect the avalanche in less than 40 ps and reduce the avalanche charge and the afterpulsing up to 50%.


Assuntos
Avalanches , Silício , Fótons , Semicondutores , Tecnologia
8.
Artigo em Russo | MEDLINE | ID: mdl-34223750

RESUMO

OBJECTIVE: Evaluation of the comparative effectiveness of various methods of psychological support in the correction of pain syndrome in patients with degenerative-dystrophic diseases of big joints and spine in the process of medical rehabilitation. MATERIAL AND METHODS: In conditions of hospital, the 70 patients with degenerative-dystrophic diseases of the big joints and spine who received drug and non-drug treatment were examined. The dynamics of the psycho-emotional state, subjective assessment of well-being and pain was studied in three groups: the main group (24 patients) where the psycho-correction plan included classes with a medical psychologist using a high-tech VR tool - «Vive Focus Plus EEA virtual reality helmet¼. A comparison group (24 patients) who received a standard format of psychological support within the patient-centered approach. The control group (22 patients) where only psycho-diagnostic measures were carried out. The «Tamp Kinesiophobia Scale¼, «Visual Analogue Scale of Well-Being Evaluation¼, «McGill Pain Questionnaire¼ were used as diagnostic tools. When comparing the effects of the interventions the nociceptive or mixed nature of pain was taken into account. RESULTS AND CONCLUSION: It has been shown that psychological support improves the effectiveness of pain therapy while the inclusion of a high-tech VR tool in psycho-correctional programs is expedient for overcoming the fear of movement and pain of neuropathic and mixed genesis but ineffective for relieving nociceptive pain, i.e. pain where there is no psychological component.


Assuntos
Transtornos dos Movimentos , Realidade Virtual , Humanos , Dor , Manejo da Dor , Tecnologia
9.
Mater Sci Eng C Mater Biol Appl ; 127: 112245, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-34225884

RESUMO

Wound healing is a complicated process constituted of four successive physiological stages involving wound bleeding, inflammatory response, cell proliferation and tissue remodeling. During this period, bacteria can easily infect the wound. Therefore, we prepared a novel curcumin-loaded sandwich-like nanofibrous membrane (CSNM) using sequential electrospinning for the hemostasis, antibacterial and accelerate wound healing. The morphology of the nanofibrous membrane was analyzed by SEM. In addition, the water absorption capacity, water vapor transmission rate, water contact-angle, and in vitro drug release were all tested. Then in vitro and in vivo hemostatic experiments demonstrated that CSNM has a good hemostatic effect. Antioxidant effect was assessed by the DPPH radical scavenging method and CSNM presented a high antioxidant activity. Additionally, CSNM demonstrated excellent antibacterial activity by the disk diffusion method. Furthermore, the rat dorsal skin defects model revealed that the CSNM distinctly induced the granulation tissue grew, collagen deposition and epithelial tissue remodeling. Meanwhile, the results of the immunohistochemical staining showed that the CSNM can facilitate the expression of CD31 and TGF-ß in the early stage of the wound, thereby accelerating wound healing. In general, this study proved that the multifunctional CSNM has great potential as wound dressing in wound healing.


Assuntos
Curcumina , Nanofibras , Animais , Antibacterianos/farmacologia , Bandagens , Curcumina/farmacologia , Ratos , Tecnologia , Cicatrização
10.
Sheng Wu Gong Cheng Xue Bao ; 37(6): 2166-2180, 2021 Jun 25.
Artigo em Chinês | MEDLINE | ID: mdl-34227301

RESUMO

Bioactive peptides play important roles in promoting human health, such as lowering blood pressure, blood sugar and blood lipid, anti-obesity, and anti-cancer. Thus, exploring functional bioactive peptides and developing efficient production technologies are of crucial importance. Herein, we review the development of function discovery and production technology for natural bioactive peptides. Presently, the top-down and bottom-up approaches are mainly used for the function discovery and production of natural active peptides. The top-down approach includes the direct extraction and identification for functional discovery, and the direct extraction, enzymatic hydrolysis and microbial fermentation for production. The bottom-up approach includes the polypeptide modification and database mining for functional discovery, and the chemical synthesis, enzyme synthesis, recombinant expression and cell-free synthesis for production. The top-down approach is usually associated with complicated process, lower efficiency, higher cost, harder quality control, and uncertain functionality, while the bottom-up approach is more suitable for the development of peptide drugs but difficult to be used for functional foods. With the technology development of sequencing and mass spectrometry, it is easier to obtain the proteomic information of various organisms at the molecular level. Based on the proteomic information, the top-down and bottom-up approaches can be combined to overcome the disadvantages of using these two approaches alone, thus providing a new strategy for the rapid development and production of natural active peptides.


Assuntos
Peptídeos , Proteômica , Fermentação , Humanos , Espectrometria de Massas , Peptídeos/metabolismo , Tecnologia
11.
Sensors (Basel) ; 21(11)2021 Jun 05.
Artigo em Inglês | MEDLINE | ID: mdl-34198727

RESUMO

Industrial IoT (IIoT) is a novel concept of a fully connected, transparent, automated, and intelligent factory setup improving manufacturing processes and efficiency. To achieve this, existing hierarchical models must transition to a fully connected vertical model. Since IIoT is a novel approach, the environment is susceptible to cyber threat vectors, standardization, and interoperability issues, bridging the gaps at the IT/OT ICS (industrial control systems) level. IIoT M2M communication relies on new communication models (5G, TSN ethernet, self-driving networks, etc.) and technologies which require challenging approaches to achieve the desired levels of data security. Currently there are no methods to assess the vulnerabilities/risk impact which may be exploited by malicious actors through system gaps left due to improper implementation of security standards. The authors are currently working on an Industry 4.0 cybersecurity project and the insights provided in this paper are derived from the project. This research enables an understanding of converged/hybrid cybersecurity standards, reviews the best practices, and provides a roadmap for identifying, aligning, mapping, converging, and implementing the right cybersecurity standards and strategies for securing M2M communications in the IIoT.


Assuntos
Condução de Veículo , Segurança Computacional , Indústrias , Padrões de Referência , Tecnologia
12.
Sensors (Basel) ; 21(12)2021 Jun 13.
Artigo em Inglês | MEDLINE | ID: mdl-34199273

RESUMO

Traditional ergonomic risk assessment tools such as the Rapid Upper Limb Assessment (RULA) are often not sensitive enough to evaluate well-optimized work routines. An implementation of kinematic data captured by inertial sensors is applied to compare two work routines in dentistry. The surgical dental treatment was performed in two different conditions, which were recorded by means of inertial sensors (Xsens MVN Link). For this purpose, 15 (12 males/3 females) oral and maxillofacial surgeons took part in the study. Data were post processed with costume written MATLAB® routines, including a full implementation of RULA (slightly adjusted to dentistry). For an in-depth comparison, five newly introduced levels of complexity of the RULA analysis were applied, i.e., from lowest complexity to highest: (1) RULA score, (2) relative RULA score distribution, (3) RULA steps score, (4) relative RULA steps score occurrence, and (5) relative angle distribution. With increasing complexity, the number of variables times (the number of resolvable units per variable) increased. In our example, only significant differences between the treatment concepts were observed at levels that are more complex: the relative RULA step score occurrence and the relative angle distribution (level 4 + 5). With the presented approach, an objective and detailed ergonomic analysis is possible. The data-driven approach adds significant additional context to the RULA score evaluation. The presented method captures data, evaluates the full task cycle, and allows different levels of analysis. These points are a clear benefit to a standard, manual assessment of one main body position during a working task.


Assuntos
Doenças Musculoesqueléticas , Doenças Profissionais , Odontologia , Ergonomia , Feminino , Humanos , Masculino , Medição de Risco , Tecnologia , Extremidade Superior
13.
Ying Yong Sheng Tai Xue Bao ; 32(6): 2241-2248, 2021 Jun.
Artigo em Chinês | MEDLINE | ID: mdl-34212630

RESUMO

We explored the sample collection and DNA extraction method of environmental DNA (eDNA) technique. Droplet digital PCR (ddPCR) was used to detect the eDNA concentration of the four major Chinese carps in different water layers and different cross-sections of Yichang section of Yangtze River trunk stream. We analyzed the relationship between eDNA concentration and density of egg and fry, and explored the feasibility of using eDNA technique to monitor the natural reproduction of the four major Chinese carps. Compared with the results from traditional survey methods, the eDNA concentration of the four major Chinese carps was extremely significantly correlated with egg and fry density. The maximum concentration was consistent with the peak occurrence time of egg and fry, suggesting that eDNA technique could predict the fishcrowd behavior for spawning. The investigation of cross-section eDNA concentration during two consecutive years suggested that the range of fish spawning ground was 4.5 km upstream to 1 km downstream of Yuyangxi. The predicted spawning ground was located within the range estimated by traditional methods from the lower part of Carmine Dam to Honghua Tuo. Our results indicate that eDNA technique, as a new ecological investigation method, could more accurately determine the distribution of fish with a certain population size, and thus with a good application prospect.


Assuntos
Carpas , DNA Ambiental , Animais , China , Monitoramento Ambiental , Reprodução , Tecnologia
15.
Quintessence Int ; 52(8): 666-674, 2021 Jul 20.
Artigo em Inglês | MEDLINE | ID: mdl-34235905

RESUMO

3D technology has been applied in both surgery simulation and guidance in endodontic microsurgery. Treatment options are still limited for vertical root fracture (VRF) in inaccessible areas that require accurate resection, especially in single-rooted teeth. This case illustrates successful treatment based on 3D technology. The literature on endodontic microsurgery of VRF is summarized. A 27-year-old woman presented with periapical lesions and apical root resorption of a maxillary premolar. After endodontic microsurgery was arranged, unexpected VRF was discovered through CBCT. Using a 3D-printed template, the root fracture was precisely removed with minimal damage. A literature review revealed a total of 12 articles published since 1946 on this topic. The 3D-printed template facilitated endodontic microsurgery, indicating reliable location of the root fracture and reduction in iatrogenic injury.


Assuntos
Tomografia Computadorizada de Feixe Cônico , Microcirurgia , Adulto , Dente Pré-Molar/cirurgia , Feminino , Humanos , Tecnologia , Raiz Dentária/diagnóstico por imagem , Raiz Dentária/cirurgia
16.
Sensors (Basel) ; 21(13)2021 Jul 05.
Artigo em Inglês | MEDLINE | ID: mdl-34283148

RESUMO

Sports technology enhances athletes' performance by providing feedback. However, interaction techniques of current devices may overwhelm athletes with excessive information or distract them from their performance. Despite previous research, design knowledge on how to interact with these devices to prevent such occasions are scarce. To address this gap, we introduce subtle displays as real-time sports performance feedback output devices that unobtrusively present low-resolution information. In this paper, we conceptualize and apply subtle displays to tennis by designing Tactowel, a texture changing sports towel. We evaluate Tactowel through a remote user study with 8 professional tennis players, in which they experience, compare and discuss Tactowel. Our results suggest subtle displays could prevent overwhelming and distracting athletes through three distinct design strategies: (1) Restricting the use excluding duration of performance, (2) using the available routines and interactions, and (3) giving an overall abstraction through tangible interaction. We discuss these results to present design implications and future considerations for designing subtle displays.


Assuntos
Desempenho Atlético , Tênis , Atletas , Retroalimentação , Humanos , Tecnologia
17.
Yi Chuan ; 43(6): 580-600, 2021 Jun 20.
Artigo em Inglês | MEDLINE | ID: mdl-34284989

RESUMO

Genetic modification technologies can be used for modifying animal genome to express exogenous genes or affect the function of endogenous genes. In animal breeding, genetic modification technologies allow the rapid generation of germplasms with beneficial traits. It includes traditional genetic modification, virus or sperm carrier-mediated genetic modification and nuclease-mediated genome editing, especially the CRISPR/Cas9, one of the artificial nuclease genome editing technologies, have been applied in genome editing in many domestic animals including sheep (Ovis aries). Compared with conventional strategies used for animal breeding, there is great value for sheep breeding improvement by using genome editing technology, which is more effective and timesaving. In this review, we summarize the approaches of genetic modification in sheep and discuss the possibility of molecular design and breeding of sheep by genome editing technologies. We also identify the potential bottlenecks and challenges of these technologies in sheep breeding.


Assuntos
Sistemas CRISPR-Cas , Edição de Genes , Animais , Sistemas CRISPR-Cas/genética , Repetições Palindrômicas Curtas Agrupadas e Regularmente Espaçadas , Melhoramento Vegetal , Ovinos/genética , Tecnologia
18.
Artigo em Inglês | MEDLINE | ID: mdl-34208018

RESUMO

In this paper, we provide an overview of how Safe-by-Design is conceived and applied in practice in a large number of engineering disciplines. We discuss the differences, commonalities, and possibilities for mutual learning found in those practices and identify several ways of putting those disciplinary outlooks in perspective. The considered engineering disciplines in the order of historically grown technologies are construction engineering, chemical engineering, aerospace engineering, urban engineering, software engineering, bio-engineering, nano-engineering, and finally cyber space engineering. Each discipline is briefly introduced, the technology at issue is described, the relevant or dominant hazards are examined, the social challenge(s) are observed, and the relevant developments in the field are described. Within each discipline the risk management strategies, the design principles promoting safety or safety awareness, and associated methods or tools are discussed. Possible dilemmas that the designers in the discipline face are highlighted. Each discipline is concluded by discussing the opportunities and bottlenecks in addressing safety. Commonalities and differences between the engineering disciplines are investigated, specifically on the design strategies for which empirical data have been collected. We argue that Safe-by-Design is best considered as a specific elaboration of Responsible Research and Innovation, with an explicit focus on safety in relation to other important values in engineering such as well-being, sustainability, equity, and affordability. Safe-by-Design provides for an intellectual venue where social science and the humanities (SSH) collaborate on technological developments and innovation by helping to proactively incorporate safety considerations into engineering practices, while navigating between the extremes of technological optimism and disproportionate precaution. As such, Safe-by-Design is also a practical tool for policymakers and risk assessors that helps shape governance arrangements for accommodating and incentivizing safety, while fully acknowledging uncertainty.


Assuntos
Engenharia , Tecnologia , Atitude , Ciências Humanas , Ciências Sociais
19.
Sensors (Basel) ; 21(13)2021 Jun 23.
Artigo em Inglês | MEDLINE | ID: mdl-34201734

RESUMO

Most accidents in the aviation, maritime, and construction industries are caused by human error, which can be traced back to impaired mental performance and attention failure. In 1596, Du Laurens, a French anatomist and medical scientist, said that the eyes are the windows of the mind. Eye tracking research dates back almost 150 years and it has been widely used in different fields for several purposes. Overall, eye tracking technologies provide the means to capture in real time a variety of eye movements that reflect different human cognitive, emotional, and physiological states, which can be used to gain a wider understanding of the human mind in different scenarios. This systematic literature review explored the different applications of eye tracking research in three high-risk industries, namely aviation, maritime, and construction. The results of this research uncovered the demographic distribution and applications of eye tracking research, as well as the different technologies that have been integrated to study the visual, cognitive, and attentional aspects of human mental performance. Moreover, different research gaps and potential future research directions were highlighted in relation to the usage of additional technologies to support, validate, and enhance eye tracking research to better understand human mental performance.


Assuntos
Aviação , Indústria da Construção , Movimentos Oculares , Tecnologia de Rastreamento Ocular , Humanos , Tecnologia
20.
Sensors (Basel) ; 21(13)2021 Jun 24.
Artigo em Inglês | MEDLINE | ID: mdl-34202659

RESUMO

Human recognition technology is a task that determines the people existing in images with the purpose of identifying them. However, automatic human recognition at night is still a challenge because of its need to align requirements with a high accuracy rate and speed. This article aims to design a novel approach that applies integrated face and gait analyses to enhance the performance of real-time human recognition in TIR images at night under various walking conditions. Therefore, a new network is proposed to improve the YOLOv3 model by fusing face and gait classifiers to identify individuals automatically. This network optimizes the TIR images, provides more accurate features (face, gait, and body segment) of the person, and possesses it through the PDM-Net to detect the person class; then, PRM-Net classifies the images for human recognition. The proposed methodology uses accurate features to form the face and gait signatures by applying the YOLO-face algorithm and YOLO algorithm. This approach was pre-trained on three night (DHU Night, FLIR, and KAIST) databases to simulate realistic conditions during the surveillance-protecting areas. The experimental results determined that the proposed method is superior to other results-related methods in the same night databases in accuracy and detection time.


Assuntos
Face , Reconhecimento Psicológico , Algoritmos , Marcha , Humanos , Tecnologia
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