bluuebunny/crossref_metadata_2025 huggingface dataset:
Management of 3 Avulsed Permanent Teeth: Case Report of a 3-Year Follow-up
Authors: El Kharroubi Soukaina , Drouri Sofia , Doumari Bouchra , Dhoum Sara , El Merini Hafsa
Published: March 2022

Dental avulsion is one of the most serious dental injuries. When the tooth is knocked out, the blood supply to the pulp is interrupted and the periodontal ligament cells are exposed to injuries caused by the external environment. In recent years, research findings have shown the possibility of complete healing under favorable conditions: replanting the tooth according to the criteria required by the guideline such as the extra oral time which should be very short, the time of pulp removal after replantation, and the appropriate storage medium. This set of criteria may lead to a slower progression of the phenomenon of resorption with a better prognosis over time; however, there is a high risk of complications such as external root resorption which lies in late replantation. The research results of many research-groups around the world have given us a better understanding of healing and complications. Nowadays, even teeth that are replanted after a delay can be saved. The dentist remains the key person in the case of dental trauma, namely, dental avulsion as his role is the management of the emergency situations. The objective of this case study is to present a successful management of 3 avulsed permanent incisors, replanted and remained with no complications for over a period of 3 years.
A Fuzzy DEMATEL‐ANP‐Based Approach to Prioritize Activities in Enterprise Architecture
Authors: Afshani Jamshid , Karimi Abbas , Osati Eraghi Nafiseh , Zarafshan Faraneh
Published: March 2022

Prioritization of activities is a multicriteria problem that includes both quantitative and qualitative factors. Moreover, due to the nature of organizations and activities, the impact of activities on each other is fuzzy. Prioritizing activities in real and fuzzy situations will help an organization’s decision makers to make the right decisions. In this paper, a new fuzzy hybrid methodology is proposed to describe and prioritize the activities of the organization in fuzzy conditions. First, the activities of the organization are described in a new fuzzy format based on activity model (OV‐5) of the C4ISR framework. Furthermore, fuzzy DEMATEL is used to calculate the interdependencies between activities, and then fuzzy ANP is used to calculate the weight of each activity. Finally, by combining the results of the two methods, the priority of activities was calculated. Additionally, an empirical study is presented to illustrate the application of the proposed method.
On Solutions of Fractional-Order Gas Dynamics Equation by Effective Techniques
Authors: Iqbal Naveed , Akgül Ali , Shah Rasool , Bariq Abdul , Mossa Al-Sawalha M. , Ali Akbar
Published: March 2022

In this work, the novel iterative transformation technique and homotopy perturbation transformation technique are used to calculate the fractional-order gas dynamics equation. In this technique, the novel iteration method and homotopy perturbation method are combined with the Elzaki transformation. The current methods are implemented with four examples to show the efficacy and validation of the techniques. The approximate solutions obtained by the given techniques show that the methods are accurate and easy to apply to other linear and nonlinear problems.
Research on Innovative Thinking of Ceramic Art Design Based on Artificial Intelligence
Authors: He Yueming
Published: March 2022

Ceramic product design is a method for creating the most functional, practical, and aesthetically pleasing product system out of ceramic materials. It is a conceptual, behavioral, and realization creative process. Design is a creative process, and designers’ use of creative thinking is what gives them their power. Ceramic design, as a sort of design, cannot survive without creative thinking in the face of a continually changing market environment and market demands. The unique design of ceramic products is not only a critical component in its qualitative leap but also a requirement for ceramic products to achieve a competitive edge in sales. Artificial intelligence (AI) technology is now extensively employed in many industries, and designing ceramic products using AI technology as support is a new development route for the ceramic industry. This study explores the application of AI in the development of creative thinking in ceramic design, to provide theoretical support for related process optimization. Using AI, designers who play a key role in the development of ceramic product design can properly comprehend material characteristics, fully exploit technological boundaries, and recognize that technology can considerably encourage ceramic product design innovation.
Human Resource Planning and Configuration Based on Machine Learning
Authors: Yuan Shuai , Qi Qian , Dai Enliang , Liang Yongfeng
Published: March 2022

Human resources are the core resources of an enterprise, and the demand forecasting plays a vital role in the allocation and optimization of human resources. Starting from the basic concepts of human resource forecasting, this paper employs the backpropagation neural network (BPNN) and radial basis function neural network (RBFNN) to analyze human resource needs and determine the key elements of the company’s human resource allocation through predictive models. With historical data as reference, the forecast value of current human resource demand is obtained through the two types of neural networks. Based on the prediction results, the company managers can carry out targeted human resource planning and allocation to improve the efficiency of enterprise operations. In the experiment, the actual human resource data of a certain company are used as the experimental basic samples to train and test the two types of machine learning tools. The experimental results show that the method proposed in this paper can effectively predict the number of personnel required and can support the planning and allocation of human resources.
Ordering Acyclic Connected Structures of Trees Having Greatest Degree‐Based Invariants
Authors: Kanwal S. , Siddiqui M.K. , Bonyah E. , Shaikh T. S. , Irshad I. , Khalid S.
Published: March 2022

Being building block of data sciences, link prediction plays a vital role in revealing the hidden mechanisms that lead the networking dynamics. Since many techniques depending in vertex similarity and edge features were put forward to rule out many well‐known link prediction challenges, many problems are still there just because of unique formulation characteristics of sparse networks. In this study, we applied some graph transformations and several inequalities to determine the greatest value of first and second Zagreb invariant, SK and SK1 invariants, for acyclic connected structures of given order, diameter, and pendant vertices. Also, we determined the corresponding extremal acyclic connected structures for these topological indices and provide an ordering (with 5 members) giving a sequence of acyclic connected structures having these indices from greatest in decreasing order.
Mechanism of N-Methyl-N-Nitroso-Urea-Induced Gastric Precancerous Lesions in Mice
Authors: Zhang Sheng-Xiong , Tian Wen , Liu Yuan-Liang , Ni Jia-Hui , Zhang Dan , Pan Hua-Feng , Zhao Zi-Ming , Ai Bo , Chen Zhe-Sheng , Lin Li-Zhu , Liu Wei
Published: March 2022

Early diagnosis and treatment of gastric precancerous lesions (GPL) are key factors for reducing the incidence and morbidity of gastric cancer. The study is aimed at examining GPL in mice induced by N-methyl-N-nitroso-urea (MNU) and to illustrate the underlying mechanisms of tumorigenesis. In this study, we utilized an in vivo MNU-induced GPL mouse model, and histopathological changes of the gastric mucosa were observed by hematoxylin and eosin (H&E-stain) and alcian blue (AB-PAS-stain). The level of miR-194-5p in the gastric mucosa was determined by real-time polymerase chain reaction. We used transmission electron microscopy to observe the effects of MNU on gastric chief cells and parietal cells. We performed immunohistochemical detection of HIF-1α, vWF, Ki-67, and P53, while the changes in the protein expression of key genes in LKB1-AMPK and AKT-FoxO3 signaling pathways were detected by western blot analysis. We demonstrated that the miR-194-5p expression was upregulated under hypoxia in GPL gastric tissues, and that a high miR-194-5p expression level closely related with tumorigenesis. Mechanistically, miR-194-5p exerted the acceleration of activities related to metabolic reprogramming through LKB1-AMPK and AKT-FoxO3 pathways. Furthermore, similar to miR-194-5p, high expression levels of AMPK and AKT were also related to the metabolic reprogramming of GPL. Moreover, we revealed the correlation between the expression levels of miR-194-5p, p-AMPKα, p-AKT, and FoxO3a. These findings suggest that miR-194-5p/FoxO3 pathway is important for the reversal of metabolic reprogramming in GPL. Thus, exploring strategies to regulate the miR-194-5p/FoxO3a pathway may provide an efficient strategy for the prevention and treatment of GPL.
Suppression of Quadruped Robot Body Disturbance by Virtual Spring‐Damping Model
Authors: He JingYe , Shao JunPeng , Gao BingWei , Miao BingYi , Shao Xuan
Published: March 2022

The quadruped robot is subject to self and external interference during the running process. In this paper, in order to improve the stability of the quadruped robot, a disturbance suppression strategy based on the kinematic model and the virtual model is proposed. Through the whole‐body kinematics modeling of the body, the cause of the disturbance is analyzed. At the same time, two spring‐damping virtual elements are introduced on the body. The virtual force generated by the spring‐damping model is according to the displacement and speed of the CoM (center of mass) when the robot is moving. By simulating the tort gait of the robot, sorting out the data obtained from the experiment, and drawing a comparison curve with the experiment results of the no spring‐damping virtual element under the same conditions, it is proved that the method proposed in this paper has a significant effect on maintaining the dynamic stability of the body, and the actual trajectory is not different from the theoretical trajectory.
IoT Networks and Digital Twin Technology-Based English Classroom Immersive Teaching
Authors: Xiong Qianli , Michalak Wazid
Published: March 2022

In order to improve the effect of English classroom teaching, this paper builds an immersive teaching model of English classroom based on IoT networks and digital twin technology. Moreover, in order to reduce the cost of the system, simplify the system structure, and enable learners to observe the stereoscopic display image with the naked eye, this paper builds an immersive hemispherical projection teaching system, designs the overall structure of the system and various components of the hardware, and studies the projection image predistortion algorithm. In addition, this paper uses the immersive experience between virtual reality technology and immersive teaching as a connection point to design an immersive teaching based on VR and apply it to teaching practice to test the effect of immersive teaching, and perfect the immersive teaching design model based on VR. Finally, this paper designs an experiment to verify and analyze the performance of the system. The experimental results show that the English classroom immersive teaching model based on digital twin technology constructed in this paper is effective.
Research on Bridge Structural Damage Identification
Authors: Sun Yi , Ma Kun , Sheng Dongfa , Liu Dewen , Dai Bihui
Published: March 2022

The traditional identification methods have limited ability to identify damage location of bridge structures. Therefore, a bridge structural damage location identification method based on deep learning is proposed. In addition, the sigmoid function is the activation function, and the cross entropy is the cost function. Meanwhile, take the Gaussian noise as the addition method and take the softmax as the classifier. So the constructed SDAE deep learning model can realize damage location identification of the simply supported the continuous beam bridges. Compared with the traditional identification methods of bridge structures, namely BP network and SVM, the proposed method shows higher identification accuracy and antinoise performance. Here, the average identification accuracy of the method for continuous beam bridge is 99.8%. As can be seen that the proposed method is more suitable for practical bridge structure damage location identification.
Image Representational Path of Regional Cultural and Creative Products Based on Genetic Algorithm
Authors: Wu Baiying , Han Ruiting
Published: March 2022

Wenchuang product is the abbreviation of cultural and creative products, which is a modern extension of traditional culture. Its dissemination is conducive to enhancing the popularity, appeal, and influence of Chinese traditional culture. As an important carrier and manifestation of cultural and creative industries, Wenchuang products are the integration of regional cultural industry development and the dominant presentation of regional politics, culture, and economy. As a highly parallel, random, and adaptive search algorithm, genetic algorithm has been widely used in personalized product design, conceptual design, product optimization design, and intelligent design, etc. Based on the genetic algorithm, this paper studies the image representation of regional cultural and creative products. In the field of image representation design of regional cultural and creative products, tree structure coding, real number coding, binary coding, etc. are widely used in this field, and these coding methods all meet the innovative requirements of designers. In the field of image representation design of regional cultural and creative products, genetic coding, as a very important part of applying genetic algorithm, plays a very important role in its research and application.
Artistic Style Analysis of Root Carving Visual Image Based on Texture Synthesis
Authors: Zhao Zinan , Bao Geriletu
Published: March 2022

Texture synthesis is a hotspot of research in the field of realism and nonphotorealistic rendering, with applications in virtual reality, computer vision, and other areas. It has a wide application prospect in image editing, filling of defective images, data compression, rapid transmission of network data, generation of large-scale scenes, and rendering of realistic and nonrealistic images, and it is used to solve the problems of seam, distortion, and parameter adjustment of traditional methods. Root carving is a one-of-a-kind plastic art form that dates back to the Xia and Shang dynasties and peaked during the Ming and Qing dynasties. Texture synthesis uses existing texture data to create a large-area texture that looks similar. This technology detects matching points in the sample texture and copies them to the output image, resulting in a texture image that is similar to and continuous with the sample texture. Realistic and nonrealistic rendering, image restoration, and computer-aided design are just a few of the applications. Texture can describe a variety of natural phenomena with repeating features, as well as expressing the rich details of an object’s surface. Because of its characteristics of both practicality and artistry, as well as the coexistence of popularity and elegance, the art of root carving retains its unique charm despite its ups and downs as a more than 2,000-year-old art form. A genetic evolution search strategy is used to propose an optimization search algorithm in this paper. We further investigate the ecological aesthetic characteristics of root carving art, in accordance with the nature of its aesthetics. By using a genetic search strategy, you will be able to find what you are looking for faster. A better matching block can be quickly found to complete the search for the best matching block, speeding up the algorithm’s search process and ensuring better synthesis results.
TPX2 Serves as a Cancer Susceptibility Gene and Is Closely Associated with the Poor Prognosis of Endometrial Cancer
Authors: Wang Jun , Zheng Hua , He Hui , Meng Shuying , Han Yatian , Su Zhe , Yan Hanbing , Zhang Yanan
Published: March 2022

Background. Endometrial cancer (EC) is a common tumor of the genital tract that affects the female reproductive system but with only limited treatment options. We aimed to discover new prognostic biomarkers for EC. Methods. We used mRNA-seq data to detect differentially expressed genes (DEGs) between EC and control tissues. Detailed clinicopathological information was collected, and changes in the mRNA and protein levels of hub DEGs were analyzed in EC. Copy number variation (CNV) was also evaluated for its association with the pathogenesis of EC. Gene set enrichment analysis (GSEA) was conducted to enrich significant pathways driven by the hub genes. Cox regression analysis was used to select variables to create a nomogram. The nomogram was calibrated by applying the concordance index (C-index), and net benefits of the nomogram at different threshold probabilities were quantified using decision curve analysis (DCA). Results. Differential expression analysis identified 24 DEGs as potential risk factors for EC. Survival analysis revealed that TPX2 expression was related to worsening overall survival in patients with advanced EC. A high CNV was associated with the overexpression of TPX2; this suggested that modifications in the cell-cycle pathway might be crucial in the advancement of EC. Moreover, an individualized nomogram was developed for TPX2 incorporating clinical factors; this was also evaluated for its ability to predict EC. Calibration and DCA analyses confirmed the robustness and clinical usefulness of the nomogram. Conclusion. We offer novel insights into the pathogenesis and molecular mechanisms of EC. The overexpression of TPX2 was related to a poorer prognosis and could serve as a biomarker for predicting prognostic outcomes in EC patients.
In-Hospital Macro-, Meso-, and Micro-Drivers and Interventions for Antibiotic Use and Resistance: A Rapid Evidence Synthesis of Data from Canada and Other OECD Countries
Authors: Stalteri Mastrangelo Rosa , Hajizadeh Anisa , Piggott Thomas , Loeb Mark , Wilson Michael , Lozano Luis Enrique Colunga , Roldan Yetiani , El-Khechen Hussein , Miroshnychenko Anna , Thomas Priya , Schünemann Holger J. , Nieuwlaat Robby
Published: March 2022

Hospitals continue to face challenges in reducing incorrect antibiotic use due to social and cultural factors at the level of the health system, the care facility, the provider, and the patient. The objective of this paper is to highlight the social and cultural drivers of antimicrobial use and resistance and targeted interventions for secondary and tertiary care settings in Canada and other OECD countries. This paper is an extension of the synthesis conducted for the Public Health Agency of Canada’s 2019 Spotlight Report: Preserving Antibiotics Now and Into the Future. We conducted a systematic review with a few modifications to meet rapid timelines. We conducted a search in Ovid MEDLINE and McMaster University’s evidence databases for systematic reviews and then for individual Canadian studies. To cast a wider net, we searched OECD organization websites and screened reference lists from systematic reviews. We synthesized the evidence narratively and categorized the evidence into macro-, meso-, and microlevel. A total of 70 studies were (a) from OCED countries and summarized evidence of potential sociocultural antimicrobial resistance and use barriers or facilitators and/or interventions addressing these challenges; (b) systematic reviews with 50% of included studies that are situated in secondary and tertiary settings; and (c) published in Canada’s two official languages, English and French. We found that hospital structures and policies may influence antibiotic utilization and variations in antimicrobial management. Microlevel factors may sway inappropriate prescribing among clinicians. The amount and type of antibiotics used may affect resistance rates. Interventions were mainly comprised of antibiotic stewardship and training that modify clinician behavior and that educate patients and carers. This evidence synthesis illustrates the various drivers of, and interventions for, antimicrobial use and resistance at the macro-, meso-, and microlevel in secondary and tertiary settings. We demonstrate that upstream drivers may lead to downstream events that influence antimicrobial resistance.
The Systematic Literature Review of Privacy-Preserving Solutions in Smart Healthcare Environment
Authors: El Majdoubi Driss , El Bakkali Hanan , Sadki Souad , Maqour Zaina , Leghmid Asmae
Published: March 2022

The rapid development of the Internet of Medical Things (IoMT) technology has resulted in various advances in the smart healthcare field; it improves healthcare systems to offer more complicated real-time services and provides an efficient patient motioning system. However, despite the brilliant side of IoMT, several concerns continue to undercut its adoption. In fact, collecting, transmitting, storing, and using data in IoMT applications raises issues regarding privacy and data protection, especially with the multitude of stakeholders involved during the whole data life cycle. Motivated from these facts, this article is devoted to perform a Systematic Literature Review (SLR) of privacy-preserving solutions used in the smart healthcare ecosystem. The recent research papers disseminated between 2017 and 2021 are selected from multiple databases and a standardized SLR method is conducted. A total of 100 papers were reviewed and a critical analysis was conducted on the selected papers. Moreover, this review study attempts to highlight the limitation of the current approaches and aims to find possible solutions to them. Thus, a detailed analysis was carried out on the selected papers in terms of the privacy techniques they deployed, the data life cycle phase they addressed, the stakeholders needs they met, and the privacy principles they covered according to privacy laws and regulations. Finally, we summarize our results showing privacy-preserving trends and identifying recommendations to involve privacy principles coverage in smart healthcare applications.
Lean Management Improves the Process Efficiency of Controlled Ovarian Stimulation Monitoring in IVF Treatment
Authors: Muharam R. , Firman F.
Published: March 2022

Background. Evaluation of patients’ experiences and satisfaction is vital for assessing the quality of healthcare service, including in fertility clinics. One promising concept that has recently been widely used to increase efficiency and service quality in hospitals is the lean concept. Lean is a form of philosophy that focuses on reducing waste of a process and continuous improvement so that consumers receive greater value. This study aims to identify waste and improve efficiency using lean management methods in the controlled ovarian stimulation (COS) monitoring process during in vitro fertilization (IVF) treatment in a fertility clinic. Methods. This study used an action research approach by observing the total service time of monitoring ovarian stimulation in IVF patients (n = 40). The identified waste and solutions were then compiled for use in a focus group discussion (FGD). From the FGD, a priority plan was obtained for the implementation of lean management. This study uses the PDCA cycle for improvement. Results. Three priority solutions were chosen, which are as follows: (1) evaluating ovarian stimulation via USG only; (2) allocating more time during doctor’s counselling; and (3) increasing counselling time by nurses in the injection room. The total patient wait time was reduced to 6 hours 32 minutes over the three visits, 13 hours 35 minutes decrease from before the intervention. In addition, the value-added ratio (VAR) was increased from 9% to 22% after the intervention. Conclusion. This research provides theoretical and practical contributions for the lean management principles in IVF treatment. The findings of this study will contribute to the pursuit of knowledge and dissemination of lean principles in the management of healthcare, including IVF clinics.
Advanced Sliding Mode Observer Design for Load Frequency Control of Multiarea Multisource Power Systems
Authors: Huynh Van Van , Tran Phong Thanh , Nguyen Tien Minh , Phan Van-Duc , Pham Viet-Thanh
Published: March 2022

Recently, to balance the increased electricity demands and total generated power, the multiarea power system (MAPS) has been introduced with multipower sources such as gas, nuclear, hydro, and thermal, which will impact the load frequency control (LFC). Therefore, the LFC of the two-area gas-hydro-thermal power system (TAGHTPS) is introduced by applying the single-phase sliding mode control-based state observer (SPSMCBSO). In this scheme, the TAGHTPS is the first model that considers the uncertainties of the parameters in the state and the interconnected matrix. Second, the state observer is employed to estimate the state variables for the feedback control. Third, the SPSMCBSO is developed to modify the basic sliding mode control to improve the performance of TAGHTPS in terms of overshoot and settling time. In addition, the SPSMCBSO is established to rely fully on the state observer so that the difficulty in the state variable measurement is solved. Fourth, the TAGHTPS stability analysis is performed using a new linear matrix inequality (LMI) scheme—Lyapunov stability theory. Lastly, the simulation results are shown and compared to recently established classical control methods to validate the SPSMCBSO choice of application for the LFC of the multiarea multisource power system (MAMSPS).
Analysis of the Chaotic Dynamics Duopoly Game of ISPs Bounded Rational
Authors: El Amrani Mohamed , Garmani Hamid , Ait Omar Driss , Baslam Mohamed , Minaoui Brahim
Published: March 2022

We propose in this paper an investigation of the dynamical behaviors of a duopoly model with two Internet services providers (ISPs). The competition between them is assumed to take place in terms of their pricing decisions and their number of cached items. According to the ISPs’ rationality level, we consider a scenario where both ISPs are bounded rational. Each ISP in any period uses the marginal profit observed from the previous period to choose its strategies. We compute explicitly the steady states of the dynamic system induced by bounded rationality and establish a necessary and sufficient condition for the stability of its Nash equilibrium (NE). Numerical simulations show that if some parameters of the model are varied, the stability of the NE point is lost and the complex (periodic or chaotic) behavior occurs. The chaotic behavior of the system is stabilized on the NE point by applying control.
[Retracted] Effect of Chinese Traditional Wushu on Cancer‐Related Fatigue, Sleep Quality and Upper Limb Dysfunction of Breast Cancer Survivors: A Systematic Review and Meta‐Analysis
Authors: Ren Tuo , Rong Siyu , Wang Haonan , Dai Yinghong , Gu Erya , Tan Na , Qi Yufei
Published: March 2022

Objective. This study is aimed at evaluating the effect of Chinese traditional Wushu (CTW) on cancer‐related fatigue (CRF), sleep quality, and upper limb dysfunction. Data Sources. We searched studies containing randomized controlled trials up to July 2021 in PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang database, and China Biological Medicine on this topic. Methods. A randomized controlled trial of CTW on major outcome indicators such as CRF, sleep quality, and upper limb dysfunction of breast cancer survivors. Study screening, data extraction, and risk of bias assessment were performed independently by two reviewers. Meta‐analysis was conducted with Stata 16.0 software. The quality of the evidence was assessed by the Cochrane Collaboration Risk of Bias (ROB2.0). Results. Eighteen studies met the requirements for meta‐analysis (n = 1331). We found that CTW has no obvious effect on improving breast cancer survivors’ CRF (SMD = −0.733; P = 0.059; I2 = 89.3%), but it can effectively improve their sleep quality (WMD = −2.266; P = 0.022; I2 = 99.2%) and upper limb dysfunction (SMD = 1.262; P ≤ 0.001; I2 = 88.5%). Conclusion. Although more studies on this topic are needed to prove the effectiveness of this method, the results of our review show that CTW is significantly helpful for better sleep and upper limb dysfunction. But the effects on CRF will need to be confirmed further. Implications for Cancer Survivors. In the future intervention process, to verify the effectiveness of CTW on improving CRF for breast cancer survivors, it would be suggested to pay close attention to breast cancer survivors’ response to exercise, achieve regular follow‐up, strictly conduct the intervention scheme on the premise of ensuring absolute security, and reduce the loss of intervention objects.
Large Pelvic Hematoma after UroLift® Procedure for Treatment of BPH with Median Lobe
Authors: Roehmholdt Max J. , Bentley Dennis F.
Published: March 2022

The UroLift® procedure is a minimally invasive technique used to treat benign prostatic hyperplasia (BPH) in the office or hospital setting. As of 2021, over 200,000 of these procedures have been performed, with an excellent safety profile. We present a case report of a patient who underwent the UroLift® procedure and was found to have a 16.5 cm pelvic hematoma within 16 hours. This study was done as a retrospective chart review. In addition, a comprehensive review of the literature was performed, and all relevant government and company websites were reviewed for thorough evaluation. The patient had an uncomplicated inpatient UroLift® procedure for BPH using 5 implants and was discharged from the hospital without incident. The patient presented to the emergency department with abdominal pain 16 hours after the procedure, and a 16.5 cm pelvic hematoma was found on computerized tomography (CT) scan. Since 2015, there have been 27 cases of pelvic hematoma after UroLift® reported to the United States Food and Drug Administration (FDA), and only 2 cases published in the literature. Our patient required hospital admission for 3 days and 3 units of packed red blood cells, but no surgical exploration or intervention. The procedure was technically successful as it improved the patient’s voiding and lower urinary tract symptoms (LUTS) as of 2-month follow-up. Potential etiologies include implant firing depth beyond the extent of the prostate, as well as treatment of the median lobe.
Nurses’ Knowledge, Perceived Practice, and their Associated Factors regarding Deep Venous Thrombosis (DVT) Prevention in Amhara Region Comprehensive Specialized Hospitals, Northwest Ethiopia, 2021: A Cross-Sectional Study
Authors: Yohannes Senay , Abebe Tarkie , Endalkachew Kidist , Endeshaw Destaw
Published: March 2022

Introduction. Deep venous thrombosis is a preventable and treatable cause of death among hospitalized patients. Nurses’ knowledge and proper assessment can play a major role in improving deep venous thrombosis prevention care. Objective. To assess the knowledge, practice, and associated factors towards deep venous thrombosis prevention among nurses working at Amhara region hospitals. Methods. Institutional-based cross-sectional study was conducted among nurses working at Amhara region comprehensive specialized hospitals, Northwest, Ethiopia, from April 1 to 30, 2021. A simple random sampling technique was used to select 423 samples. A structured pretested self-administered questionnaire was used to collect data. Data were entered in epi-info version 7, analyzed using SPSS version 25, and presented by frequencies, percentages, and tables. Bivariable and multivariable logistic regression was computed, and P value < 0.05 was considered to identify statistically significant factors. Result. Good knowledge and practice of nurses towards DVT prevention were 55.6% and 48.8%, respectively. Working at the medical ward [AOR 3.175, 95% CI (1.42, 7.11)], having a BSc degree [AOR = 3.248(1.245, 8.469)], Master’s degree [AOR = 3.48, 95% CI (1.22, 9.89)], obtaining a formal training about deep venous thrombosis [AOR = 1.59; 95% CI (1.03, 2.47)], and working experience of ≥11 years [AOR = 2.11; 95% CI (1.07, 4.16)] were associated with good knowledge of nurses on the prevention of deep venous thrombosis. While having good knowledge about deep venous prevention AOR = 1.75; 95% CI (1.15, 2.65)] and working experience ≥11 years [AOR = 3.44; 95% CI (1.45, 8.13)] were significantly associated with nurses’ practice about deep venous thrombosis prevention. Conclusion. Knowledge and practice of the nurses regarding the prevention of deep venous thrombosis were found to be inadequate. Therefore, providing training, creating a conducive environment for sharing of experience, and upgrading the academic status of nurses are measures to scale up the knowledge and practice of nurses regarding deep venous thrombosis prevention.
Application Effect of Doctor-Nurse-Patient Integration Model Based on Heart Rate Management Strategies in Middle-Aged and Young Outpatients with Hypertension
Authors: Zhang Jinfang , Han Zehong , Jia Min , Guo Juanjuan , Guo Hua , Deng Hui
Published: March 2022

Objective. In this study, a doctor-nurse-patient integration management scheme based on heart rate (HR) management strategies was constructed to explore its application effect in the health management of young and middle-aged outpatients with hypertension. Methods. A total of 75 young and middle-aged patients with essential hypertension admitted to the Outpatient Department of Cardiology of Heji Hospital Affiliated to Changzhi Medical College, Shanxi Province, from October 2019 to July 2020 were selected and divided into an observation group (

n
=
37

) and a control group (

n
=
38

) according to different treatment methods. The control group was treated with routine health education, basis on which, the observation group was additionally intervened by the doctor-nurse-patient integration model established upon HR management strategies. The resting heart rate (RHR) awareness, medication compliance, RHR, systolic/diastolic blood pressure (SBP/DBP), and self-management ability were compared between the two groups before and 3 months after intervention. The diet control rate, hypertension awareness rate, and regular review rate were also compared. Results. The RHR awareness and medication compliance were significantly higher in the observation group compared with the control group after intervention (

P
<
0.05

). There were 29 patients with high compliance in the observation group and 19 in the control group, with a significant difference between the two groups (

P
<
0.05

). The mean RHR, as well as the mean SBP and DBP in the observation group, were significantly lower than those in the control group (

P
<
0.05

). In terms of health behavior assessment, the observation group outperformed the control group in the score of each dimension of self-actualization, health responsibility, stress management, interpersonal support, exercise, and nutrition (

P
<
0.05

). In addition, the self-management ability of diet, exercise, medication, blood pressure (BP) monitoring, and disease awareness was significantly higher in the observation group compared with the control group. Conclusions. For middle-aged and young outpatients with hypertension, the doctor-nurse-patient integration model based on HR management strategies can improve the RHR awareness of patients and improve their medication compliance and self-management ability, thus better controlling the levels of RHR and BP.
Noninvasive Method for Predicting the Expression of Ki67 and Prognosis in Non-Small-Cell Lung Cancer Patients: Radiomics
Authors: Yao Wei , Liao Yifeng , Li Xiapeng , Zhang Feng , Zhang Haifeng , Hu Baoli , Wang Xiaolong , Li Li , Xiao Mei
Published: March 2022

Purpose. In this study, we aimed to develop and validate a noninvasive method based on radiomics to evaluate the expression of Ki67 and prognosis of patients with non-small-cell lung cancer (NSCLC). Patients and Methods. A total of 120 patients with NSCLC were enrolled in this retrospective study. All patients were randomly assigned to a training dataset (n = 85) and test dataset (n = 35). According to the preprocessed F-FDG PET/CT image of each patient, a total of 384 radiomics features were extracted from the segmentation of regions of interest (ROIs). The Spearman correlation test and least absolute shrinkage and selection operator (LASSO), after normalization on the features matrix, were applied to reduce the dimensionality of the features. Furthermore, multivariable logistic regression analysis was used to propose a model for predicting Ki67. The survival curve was used to explore the prognostic significance of radiomics features. Results. A total of 62 Ki67 positive patients and 58 Ki67 negative patients formed the training set and test training dataset and test dataset. Radiomics signatures showed good performance in predicting the expression of Ki67 with AUCs of 0.86 (training dataset) and 0.85 (test dataset). Validation and calibration showed that the radiomics had a strong predictive power in patients with NSCLC survival, which was significantly close to the effect of Ki67 expression on the survival of patients with NSCLC. Conclusion. Radiomics signatures based on preoperative F-FDG PET/CT could distinguish the expression of Ki67, which also had a strong predictive performance for the survival outcome.
A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning
Authors: Hoang Nhat-Duc , Huynh Thanh-Canh , Tran Xuan-Linh , Tran Van-Duc
Published: March 2022

During the phase of periodic survey, sealed crack and crack in asphalt pavement surface should be detected accurately. Moreover, the capability of identifying these two defects can help reduce the false‐positive rate for pavement crack detection. Because crack and sealed crack are both line‐based defects and may resemble each other in shape, this study puts forward an innovative method based on computer vision for detecting sealed crack and crack. This method is an integration of feature extraction based on image processing and metaheuristic optimized machine learning. Image processing is used to compute features that characterize visual appearance and texture of the pavement image. Subsequently, Salp Swarm Algorithm integrated with multiclass support vector machine is employed for pattern recognition. Based on experimental results, the newly developed method has achieved the most desired predictive performance with an accuracy rate = 91.33% for crack detection and 92.83% for sealed crack detection.
Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning
Authors: Li Yanzi , Chen Cai , Liu Fuqiang , Wang Jian
Published: March 2022

When analyzing agriculture’s total factor productivity, traditional measurement approaches do not take into account the inefficiency value. The production functions are assumed to be analyzed on basis of the random boundaries, which makes the analysis results inaccurate and unreliable. As a result, this paper proposes an analytical approach for agricultural total factor productivity based on the stochastic block model (SBM), which combines the benefits of statistics and machine learning. It uses the SBM direction distance function and the Luenberger productivity index to measure the agricultural efficiency, total factor productivity, and their components. The research study considers the data from 31 provinces from 2006 to 2018 years. First, one output indicator and six input indicators are established. The time-varying variations of the national agricultural inefficiency value and its source decomposition under variable scale returns are then determined using the SBM-based algorithm of agricultural total factor productivity and the obtained sample data. The changes of the agricultural total factor productivity and its components are comprehensively analyzed. Following an examination of the elements impacting agricultural efficiency and productivity, the socioeconomic development of the agricultural total factor productivity is examined in order to achieve efficient growth.
Univalent Functions by Means of Chebyshev Polynomials
Authors: Najafzadeh Sh. , Salleh Z.
Published: March 2022

The primary motivation of the paper is to define a new class

C

h

δ

α
,
β
,
γ

which consists of univalent functions associated with Chebyshev polynomials. For this class, we determine the coefficient bound and convolution preserving property. Furthermore, by using subordination structure, two new subclasses of

C

h

δ

α
,
β
,
γ

are introduced and denoted by

M

λ

1

,

λ

2

,
s

and

N

λ

1

,

λ

2

,

s

, respectively. For these subclasses, we obtain coefficient estimate, extreme points, integral representation, convexity, geometric interpretation, and inclusion results. Moreover, we prove that, under some restrictions on parameters,

C

h

δ

α
,
β
,
γ

=
N

λ

1

,

λ

2

,
s

.
Digital Forensic Investigation of Healthcare Data in Cloud Computing Environment
Authors: Mishra Anand K. , Govil Mahesh C. , Pilli Emmanuel S. , Bijalwan Anchit
Published: March 2022

Cloud computing is widely used in various sectors such as finance, health care, and education. Factors such as cost optimization, interoperability, data analysis, and data ownership functionalities are attracting healthcare industry to use cloud services. Security and forensic concerns are associated in cloud environments as sensitive healthcare data can attract the outside attacker and inside malicious events. Storage is the most used service in cloud computing environments. Data stored in iCloud (Apple Inc. Cloud Service Provider) is accessible via a Web browser, cloud client application, or mobile application. Apple Inc. provides iCloud service to synchronize data from MacBook, iPhone, iPad, etc. Core applications such as Mail, Contacts, Calendar, Photos, Notes, Reminders, and Keynote are synced with iCloud. Various operations can be performed on cloud data, including editing, deleting, uploading, and downloading data, as well as synchronizing data between devices. These operations generate log files and directories that are essential from an investigative perspective. This paper presents a taxonomy of iCloud forensic tools that provides a searchable catalog for forensic practitioners to identify the tools that meet their technical requirements. A case study involving healthcare data storage on iCloud service demonstrates that artifacts related to environmental information, browser activities (history, cookies, cache), synchronization activities, log files, directories, data content, and iCloud user activities are stored on a MacBook system. A GUI-based dashboard is developed to support iCloud forensics, specifically the collection of artifacts from a MacBook system.
Long-Term Clinical Outcomes of Small-Incision Femtosecond Laser-Assisted Intracorneal Concave Lenticule Implantation in Patients with Keratoconus
Authors: Wei Qi , Ding Hui , Nie Ke , Jin He , Zhong Tan , Yu Hanyang , Yang Zhenduo , Hu Shisi , He Linyi , Zhong Xingwu
Published: March 2022

Purpose. The purpose of this study was to evaluate the long-term prognosis of small-incision femtosecond laser-assisted intracorneal concave lenticule implantation (SFII) in correction of human keratoconus. Methods. This was a prospective study for 11 patients who received SFII after being diagnosed as progressive keratoconus based on the Amsler–Krumeich classification system. Clinical assessment was performed for all the patients prior to and postsurgically at different time points for 5 years. These included uncorrected distance visual acuity (UDVA), corrected distance visual acuity (CDVA), biomechanically corrected intraocular pressure (bIOP), corneal topography, anterior segment optical coherence tomography (AS-OCT), confocal microscopy, and biomechanical assessment with Corvis ST. Results. Comparison of preoperative and 60-month postoperative UDVA and CDVA (

P

60
months

=
0.081

and 0.001, respectively), all eyes showed an improvement in CDVA. Corneal topography showed no significant changes in corneal anterior K1, K2, posterior K1, K2, posterior elevation, or corneal densitometry compared with preoperative levels (

P
>
0.05

). Corvis ST showed that central corneal thickness (CCT) and stiffness at applanation 1 (SP-A1) were significantly greater 1 week postsurgically when compared to the baseline (

P
<
0.05

) and remained stable thereafter. The lenticule under the AS-OCT remained transparent throughout the entire postsurgical period. Under confocal microscopy, corneal edema and an increase in cell activation and reflectivity were observed at the lenticule-stromal interface within 1 week postoperatively. These reactions gradually subsided with time within 6 months. Conclusion. SFII is an effective procedure to prevent the progression of keratoconus due to its minimal invasiveness and capability of maintaining a steady biometry of the cornea.
The Use of Customized Three‐Dimensionally Printed Mandible Prostheses with a Pressure‐Reducing Device: A Finite Element Analysis in Different Chewing Positions, Biomechanical Testing, and In Vivo Animal Study Using Lanyu Pigs
Authors: Chen Chun-Feng , Chen Chun-Ming , Chen Han-Sheng , Huang Wei-Chin , Chen Yung-Chung , Chang Hung-Chih , Liu Sung-Ho , Yang Tsung-Lung , Wang Ling-Lin , Chen Ping-Ho
Published: March 2022

Segmental bony defects of the mandible constitute a complete loss of the regional part of the mandible. Although several types of customized three‐dimension‐printed mandible prostheses (CMPs) have been developed, this technique has yet to be widely used. We used CMP with a pressure‐reducing device (PRD) to investigate its clinical applicability. First, we used the finite element analysis (FEA). We designed four models of CMP (P1 to P4), and the result showed that CMP with posterior PRD deployment (P4 group) had the maximum total deformation in the protrusion and right excursion positions, and in clenching and left excursion positions, posterior screws had the minimum von Mises stress. Second, the P4 CMP‐PRD was produced using LaserCUSING from titanium alloy (Ti‐6Al‐4V). The fracture test result revealed that the maximum static pressure that could be withstood was 189 N, and a fatigue test was conducted for 5,000,000 cycles. Third, animal study was conducted on five male 4‐month‐old Lanyu pigs. Four animals completed the experiment. Two animals had CMP exposure in the oral cavity, but there was no significant inflammation, and one animal had a rear wing fracture. According to a CT scan, the lingual cortex of the mandible crawled along the CMP surface, and a bony front‐to‐back connection was noted in one animal. A histological examination indicated that CMP was significantly less reactive than control materials (p = 0.0170). Adequate PRD deployment in CMP may solve a challenge associated with CMP, thus promoting its use in clinical practice.