bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Impact of Board Governance Model Based on Multi-Internet of Things Perception System on System Risk of Large Business Institutions in China
Authors: Zheng Dapeng
Published: June 2022

Corporate governance structure is a subject of great theoretical and practical significance, especially the impact of board characteristics on corporate performance, which has been the focus of scholars’ attention. However, due to the particularity of China’s commercial institutions, especially the state-owned commercial institutions in the transition economy, which have a strong government-led color in system, commercial institutions mainly rely on strengthening the governance of the board of directors to improve the effectiveness of their internal governance. Based on the basic principles of the Internet of Things (IOT) business environment, this paper divides the architecture of multiple IOT perception system into perception domain and business domain. This paper studies the development mode of the economic and business perception system stage of the Internet of Things: the primary stage, the growth and maturity stage, and the integration stage. Strengthen the establishment of an independent director system, create an environment in which independent directors exercise full power, strengthen penalties for violations of directors, strengthen the integrity of directors, and establish a scientific and reasonable board evaluation mechanism. The effective operation of enterprises is based on the perfect market rules and a good market order. The reform of state-owned enterprises with the core of establishing a modern enterprise system and improving corporate governance structure must be carried out simultaneously with the construction of market systems.
A Secure IoT and Cloud Computing-Enabled e-Health Management System
Authors: Butpheng Chanapha , Yeh Kuo-Hui , Hou Jia-Li
Published: June 2022

Utilization of the Internet of Things (IoT) technology is virtually ubiquitous across various life disciplines. When the IoT is integrated into e-health system to enable more real-time on-demand services, it brings significant convenience to the physicians and patients. However, the risk of encountering unreliable information and potential security threat is promptly raised at the same time. Therefore, in this research, we establish a secure IoT and cloud computing-enabled e-health management system in which a distinctive authentication scheme is adopted. The proposed system ensures all major security requirements, such as confidentiality, entity anonymity, repudiation tracking, data integrity, and innate resistance to man-in-the-middle, location spoofing, and replay attacks. Moreover, our system can effectively be executed on low-powered processing units and simultaneously guarantees greater security than historically available alternatives.
Efficacy of CAD/CAM Technology in Interventions Implemented in Orthodontics: A Scoping Review of Clinical Trials
Authors: Ardila Carlos M. , Elorza-Durán Andrés , Arrubla-Escobar Daniel
Published: June 2022

Objectives. To evaluate the efficacy of computer‐aided design/computer‐aided manufacturing (CAD/CAM) technology in interventions implemented in orthodontics. Methods. A scoping review of scientific evidence was accomplished, involving different databases. MesH terms and keywords were provided to examine clinical trials (CTs) in all languages. Exclusively CTs that fulfilled the eligibility criteria were admitted. Results. Eight CTs were chosen. These experiments evaluated 542 patients. Four CTs compared the computer‐aided indirect bonding method versus the traditional direct bonding of orthodontic brackets. Three CTs compared CAD/CAM retainers with other types of retainers, and one CT compared the CAD/CAM group with multistranded stainless steel wires versus stainless steel wires. Regarding the efficacy of the interventions with CAD/CAM technology used in orthodontics, variable results were found. The indirect bonded customized CAD/CAM brackets presented just a slight effect on the treatment efficacy and therapy results. Two CTs showed that an indirect bonding self‐ligating standard system had a similar quality of therapy in comparison with the CAD/CAM customized bracket system. Concerning the clinical failure rate, no differences were presented between the CAD/CAM retainer and other retainers. A CAD/CAM system had more loose brackets than a noncustomized system and was observed also a greater amount of immediate debonding with CAD/CAM indirect bonding than with direct bonding. CAD/CAM fixed retainers revealed inferior relapse and fewer failures than lab‐based and conventional chairside retainers. No changes between treatment groups were observed regarding the total therapy time, amount of appointments, and quantity of archwire bends. Conclusions. In general terms, no greater efficacy of CAD/CAM technology was observed over traditional therapies used in orthodontics. However, it was found that gingival inflammation and the accumulation of bacterial plaque and dental calculus were lower when CAD/CAM retainers were used. When comparing interventions that include CAD/CAM systems with conventional therapies, no significant reduction in care times was found.
Prediction of Deviation Range of Gear Autonomous Machining Relying on Failure Sign Algorithm of Firefly Neural Network
Authors: Dai Jianqing , Xie Qiuquan
Published: June 2022

In view of the problems of complex deviation sources in gear machining and low accuracy of empirical prediction, in order to improve the detection accuracy and the operation speed of gears after machining, the failure sign algorithm of the firefly neural network (FSAFNN) is applied to the prediction of the deviation range of gear autonomous machining, and a gear tooth direction detection method is designed based on this method. The failure sign algorithm of the firefly neural network is constructed. Taking the tooth profile deviation in the gear machining process as the research target, a prediction model of the gear autonomous machining deviation is constructed, which can be used to effectively obtain the different invalid modes of the gear profile machining. The firefly neural network is quantitatively analyzed to obtain the main reasons for the tooth profile machining deviation. The firefly neural network algorithm can be used to take advantage of its advantages in metal and reflective object prediction. The final research results show that the method used in this paper can meet the requirements of high-precision and nondestructive detection of gears in industrial design, realize the division of gear accuracy levels, which can be used in the field of high-precision detection of other metal reflective objects, and is practical in the prediction of the deviation range of gear autonomous machining.
Spring-Back Characteristics on Bent Holed Parts in V-Die Bending Process
Authors: Thipprakmas Sutasn , Sontamino Arkarapon
Published: June 2022

In recent years, the bending of holed blank to fabricate the bent holed parts has been increasingly applied in almost all industrial fields and they also need much more complexity in shaped part and precision in dimensions. However, most of past research studies were carried out on bent nonholed parts. This causes an insufficient database and information for die design to fabricate bent holed parts. In the present research, to achieve a good design of V-bending die for fabrication of these bent holed parts, the bending mechanism and spring-back characteristic were clearly clarified based on experimental works. By making hole, it usually caused the decreases in generated bending characteristic on bending allowance zone as the hole located at center as well as the decreases in the generated reversed bending characteristics on next to bending allowance zone as the hole located next to bending allowance zone. The hole also caused the increases in additional elastic zone on hole especially for hole located at center due to the hole distortion during bending process. The effects of hole diameter were also investigated. The results elucidated that the larger hole diameter applied, the larger amount of spring-back obtained. Therefore, to achieve a good design of V-bending die for fabrication of V-bent parts of holed blank, the hole position and diameter should be carefully considered.
Impact of Thermal Pretreatment of Saliva on the RT-PCR Detection of SARS-CoV-2
Authors: Morais Orlando Miguel , Azevedo Alves Manuel Rui , Fernandes Paulo Alexandre da Costa
Published: June 2022

The use of saliva directly as a specimen to detect viral RNA by RT-PCR has been tested for a long time as its advantages are relevant in terms of convenience and costs. However, as other body fluids, its proven inhibition effect on the amplification reaction can be troublesome and compromise its use in the detection of viral particles. The aim of the present work is to demonstrate that saliva pretreatment may influence the RT-PCR amplification of three gene targets of SARS-CoV-2 significantly. A pool of RNA from confirmed COVID-19 patients was used to test the influence of heat pretreatment of saliva samples at 95°C for 5, 10, 15 and 20 min on the amplification performance of ORF1ab, E, and N SARS-CoV-2 genes. Prolonged heating at 95°C significantly improves the Ct value shift, usually observed in the presence of saliva, increasing the limit of detection of viral genes ORF1ab, E, and N. When tested using a cohort of COVID-19 patients’ saliva, the increased time of heat pretreatment resulted in a significant increase in the detection sensitivity.
[Retracted] Prediction of Prognostic Risk Factors in Patients with Invasive Candidiasis and Cancer: A Single‐Centre Retrospective Study
Authors: Li Jingyi , Li Yaling , Gao Yali , Niu Xueli , Tang Mingsui , Fu Chang , Wang Zihan , Liu Jiayi , Song Bing , Chen Hongduo , Gao Xinghua , Guan Xiuhao
Published: June 2022

Background. Invasive candidiasis is a common cancer‐related complication with a high fatality rate. If patients with a high risk of dying in the hospital are identified early and accurately, physicians can make better clinical judgments. However, epidemiological analyses and mortality prediction models of cancer patients with invasive candidiasis remain limited. Method. A set of 40 potential risk factors was acquired in a sample of 258 patients with both invasive candidiasis and cancer. To begin, risk factors for Candida albicans vs. non‐Candida albicans infections and persistent vs. nonpersistent Candida infections were analysed using classic statistical methods. Then, we applied three machine learning models (random forest, logistic regression, and support vector machine) to identify prognostic indicators related to mortality. Prediction performance of different models was assessed by precision, recall, F1 score, accuracy, and AUC. Results. Of the 258 patients both with invasive candidiasis and cancer included in the analysis. The median age of patients was 62 years, and 95 (36.82%) patients were older than 65 years, of which 178 (66.28%) were male. And 186 (72.1%) patients underwent surgery 2 weeks before data collection, 100 (39.1%) patients stayed in ICU during hospitalisation, 99 (38.4%) patients had bacterial blood infection, 85 (32.9%) patients had persistent invasive candidiasis, and 41 (15.9%) patients died within 30 days. The usage of drainage catheter and prolonged length of hospitalisation are the dominant risk factors for non‐Candida albicans infections and persistent Candida infections, respectively. Risk factors, such as septic shock, history of surgery within the past 2 weeks, usage of drainage tubes, length of stay in ICU, total parenteral nutrition, serum creatinine level, fungal antigen, stay in ICU during hospitalisation, and total bilirubin level, were significant predictors of death. The RF model outperformed the LR and SVM models. Precision, recall, F1 score, accuracy, and AUC for RF were 64.29%, 75.63%, 69.23%, 89.61%, and 91.28%. Conclusions. In this study, the machine learning‐based models accurately predicted the prognosis of cancer and invasive candidiasis patients. The algorithm could be used to help clinicians in high‐risk patients’ early intervention.
Visual Multimedia Intelligent Computing System for Seismic Performance of Bridge Structure Based on Object-Oriented Technology
Authors: Zheng Xinliang , Xie Yi
Published: June 2022

In order to further promote the standardization of seismic performance design of bridge structures, one must ensure the quality of bridge design and improve design efficiency. First, based on the basic principle of the probabilistic pushover method, the randomness of the structural pushover curve is attributed to the randomness of plastic hinges. Second, the visualization of seismic performance of bridge structures based on the object-oriented technology is adopted. So that the randomness of seismic action can be considered in the analysis of seismic performance. Finally, the limit state equation of the seismic performance of the structure is used to evaluate the reliability of the seismic performance of the bridge in each limit state conveniently. The results show that the failure probability of the structure in each limit state is less than 0.5 under different basic accelerations from 0 to 0.4 g. The software method is simple in calculation and has a strong adaptability, avoiding the difficulty of seismic reliability analysis caused by large-scale simulation and large amount of calculation of traditional structures. Therefore, this method can be easily applied to the probabilistic analysis of seismic behavior of bridge structures under large earthquakes without evaporative deformation failure criterion.
Real-Time Multitarget Tracking for Panoramic Video Based on Dual Neural Networks for Multisensor Information Fusion
Authors: Lin Qing
Published: June 2022

A multitarget real-time tracking system for panoramic video with multisensor information fusion dual neural networks is studied and implemented by combining dual neural networks, fused geometric features, and deep learning-based target real-time tracking algorithms. The motion model of multisensor information fusion is analyzed, the dual neural network perturbation model is introduced, and the state variables of the system are determined. Combined with the data structure model of multisensor information fusion, a least-squares-based optimization function is constructed. In this optimization function, the image sensor is constructed as an observationally constrained residual term based on the pixel plane, the inertial measurement unit is constructed as an observationally constrained residual term based on the motion model, and the motion relationship between sensors is constructed as a motion-constrained residual term to derive a mathematical model for real-time multitarget tracking of panoramic video. The simulation experimental results show that the integrated position estimation accuracy of the multisensor information fusion dual neural network-based panoramic video multitarget real-time tracking fusion algorithm is 10.5% higher than that of the optimal distributed panoramic video multitarget fusion algorithm without feedback. The results of the simulation experiments show that the integrated position estimation accuracy of the multitarget real-time tracking fusion algorithm for panoramic video improves by 10.96%, and the integrated speed estimation accuracy improves by 6.32% compared with the optimal distributed multitarget fusion algorithm without feedback. The proposed panoramic video multitarget real-time tracking algorithm based on the dual neural network can effectively improve the target tracking accuracy of the model on degraded frames (motion blur, target occlusion, out-of-focus, etc.), and the stability of the algorithm for target location and category detection is effectively improved by multiframe feature fusion. The research in this paper provides better technical support and research theory for panoramic video multitarget real-time tracking.
Image Recognition about Stability of Soft Surrounding Rock in Tunnel Based on ILBP Algorithm
Authors: Lang Zhijun , Gao Xinqiang , Jia Yibin , Dong Beiyi , Ma Zecheng , Ren Daoyuan , Mojtahe Kaza
Published: June 2022

With China’s fast expansion of urban traffic and railway engineering, a great number of subway and railway lines have been erected in subterranean tunnels in recent years. When the tunnel is in the process of construction, it will encounter the weak fracture zone, and the surrounding rock of this part of the tunnel is often poor stability and deformation is difficult to control, which will lead to the smooth progress of the project, delay and other problems. Therefore, to facilitate the timely treatment of tunnel soft surrounding rock, the study of image recognition of its stability is particularly important. Based on this, an improved local binary mode algorithm (ILBP) is proposed in this paper. By adjusting the weight of binary polynomial in local binary mode (LBP) operator, the target of ILBP is to extract the characteristics of weak surrounding rock of tunnel at a specific location, hoping to provide reference for the follow-up study of tunnel engineering.
A Satellite Selection Strategy of SURF IA in Airport Intelligent Monitoring
Authors: Zhao Weiwei , Duan Lizhi , Jian Xuhong
Published: June 2022

The implementation of Enhanced Traffic Situational Awareness on the Airport Surface with Indications and Alerts (SURF IA) monitoring in airports improves the safety and efficiency of airport surface operation. Navigation accuracy category for position (NACP), navigation accuracy category for velocity (NACV), and other data are obtained from Automatic Dependent Surveillance-Broadcast (ADS-B) IN, and these data will be the only data source of SURF IA. In this paper, we use the Beidou System (DBS) and Global Positioning Symbol (GPS) dual system as the positioning data source of the ADS-B. In cases where all visible satellites meet the performance requirements of the SURF IA, particle swarm optimization (PSO) and a new particle swarm optimization (APSO) are used to screen the integrated navigation satellites to meet the requirements of SURF IA by using fewer satellites, and the satellite selection ability of the two is compared. The simulation results show that under the same conditions, by using fewer navigation satellites can meet the minimum monitoring performance requirements for the implementation of SURF IA operation. And the star selection ability of APSO is better. This improves the performance of airport surface intelligent monitoring.
A Comprehensive Comparison of Clinical Presentation and Outcomes of Kidney Transplant Recipients with COVID-19 during Wave 1 versus Wave 2 at a Tertiary Care Center, India
Authors: Jasuja Sanjiv , Sagar Gaurav , Bahl Anupam , Jasuja Neharita , Chawla Rajesh , Bansal Avdhesh , Kanwar Manjit. S. , Kansal Sudha , Modi Nikhil , Ansari Athar P. , Kantroo Viny , Dhar Purnima , Chatterjee Chitra , Ghonge Nitin , Tawakley Samir , Verma Shalini
Published: June 2022

Data comparing the clinical spectrum of COVID-19 in kidney transplant recipients (KTRs) during the first and second waves of the pandemic in India is limited. Our single-center retrospective study compared the clinical profile, mortality, and associated risk factors in KTRs with COVID-19 during the 1st wave (1st February 2020 to 31st January 2021) and the second wave (1st March-31st August 2021). 156 KTRs with PCR confirmed SARS-CoV-2 infection treated at a tertiary care hospital in New Delhi during the 1st and the second waves were analyzed. The demographics and baseline transplant characteristics of the patients diagnosed during both waves were comparable. Patients in the second wave reported less frequent hospitalization, though the intensive care unit (ICU) and ventilator requirements were similar. Strategies to modify immunosuppressants such as discontinuation of antinucleoside drugs with or without change in calcineurin inhibitors and the use of steroids were similar during both waves. Overall patient mortality was 27.5%. The demographics and baseline characteristics of survivors and nonsurvivors were comparable. A higher percentage of nonsurvivors presented with breathing difficulty, low SpO2, and altered sensorium. Both wave risk factors for mortality included older age, severe disease, ICU/ventilator requirements, acute kidney injury (AKI) needing dialysis, Chest Computerized Tomographic (CT) scan abnormalities, and higher levels of inflammatory markers particularly D-dimer and interleukin-6 levels. Conclusions. KTRs in both COVID-19 waves had similar demographics and baseline characteristics, while fewer patients during the second wave required hospitalization. The D-dimer and IL-6 levels are directly correlated with mortality.
Assessment of a New Formulation of Sildenafil on Common Practice: An Observational Study
Authors: Droupy Stéphane , Colson Marie Hélène
Published: June 2022

Erectile dysfunction (ED) has a significant impact on the quality of life of patients. Xybilun® (IBSA Pharma SAS, France) is a new formulation of sildenafil in an orodispersible film (ODF). This study aims to assess the response rate (RR), satisfaction with, and safety of sildenafil-ODF in daily practice in France. Patients aged ≥18 years with ED were included in four groups: Group 1 mild, Group 2 moderate, Group 3 severe ED, according to the International Index for Erectile Function (IIEF)-6 subscore, never treated with phosphodiesterase inhibitors (PDE)5-I; Group 4, patients previously treated with another PDE5-I. Patients were evaluated at baseline (V1), one (V2), and three (V3) months. The RR and satisfaction were assessed using the IIEF-6 subscore questionnaire, a 5-point Likert scale, and a Global Assessment Question (GAQ). The primary endpoint for Groups 1 to 3 was the RR according to Rosen criteria at V3 compared to V1. For Group 4, the primary endpoint was the RR, defined as the satisfaction compared with previous treatment. Secondary endpoints were the RR at V2 compared to V1, the evolution of IIEF-6 and IIEF-15 scores, dose adjustment, satisfaction, convenience, and safety. One hundred and five patients were enrolled, 83 analysed. The RR at V3 was 100% (Group 1); 75% (Group 2); 65.2% (Group 3); and 84.2% (Group 4). The overall RR was 78.3%. Secondary parameters confirmed the satisfaction with sildenafil-ODF, with 81.6% of patients very satisfied at V3. No Serious Adverse Events (SAEs) were observed. In conclusion, sildenafil-ODF seems beneficial for patients irrespective of the severity of the ED. This study confirms in the context of daily clinical practice the satisfaction of patients with sildenafil-ODF. Data suggest that the availability of the intermediate dose of 75 mg could add greater flexibility to the therapy.
Development and Validation of a Novel PPAR Signaling Pathway-Related Predictive Model to Predict Prognosis in Breast Cancer
Authors: Xu Yingkun , Shu Dan , Shen Meiying , Wu Qiulin , Peng Yang , Liu Li , Tang Zhenrong , Gao Shun , Wang Yuan , Liu Shengchun
Published: June 2022

This study is aimed at exploring the potential mechanism of the PPAR signaling pathway in breast cancer (BRCA) and constructing a novel prognostic-related risk model. We used various bioinformatics methods and databases to complete our exploration in this research. Based on TCGA database, we use multiple extension packages based on the R language for data conversion, processing, and statistics. We use LASSO regression analysis to establish a prognostic-related risk model in BRCA. And we combined the data of multiple online websites, including GEPIA, ImmuCellAI, TIMER, GDSC, and the Human Protein Atlas database to conduct a more in-depth exploration of the risk model. Based on the mRNA data in TCGA database, we conducted a preliminary screening of genes related to the PPAR signaling pathway through univariate Cox analysis, then used LASSO regression analysis to conduct a second screening, and successfully established a risk model consisting of ten genes in BRCA. The results of ROC curve analysis show that the risk model has good prediction accuracy. We can successfully divide breast cancer patients into high- and low-risk groups with significant prognostic differences (

P
=
1.92
e
−
05

) based on this risk model. Combined with the clinical data in TCGA database, there is a correlation between the risk model and the patient’s N, T, gender, and fustat. The results of multivariate Cox regression show that the risk score of this risk model can be used as an independent risk factor for BRCA patients. In particular, we draw a nomogram that can predict the 5-, 7-, and 10-year survival rates of BRCA patients. Subsequently, we conducted a series of pancancer analyses of CNV, SNV, OS, methylation, and immune infiltration for this risk model gene and used GDSC data to investigate drug sensitivity. Finally, to gain insight into the predictive value and protein expression of these risk model genes in breast cancer, we used GEO and HPA databases for validation. This study provides valuable clues for future research on the PPAR signaling pathway in BRCA.
Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion
Authors: Lu Weizhong , Chen Xiaoyi , Zhang Yu , Wu Hongjie , Ding Yijie , Shen Jiawei , Guan Shixuan , Li Haiou
Published: June 2022

Protein is closely related to life activities. As a kind of protein, DNA-binding protein plays an irreplaceable role in life activities. Therefore, it is very important to study DNA-binding protein, which is a subject worthy of study. Although traditional biotechnology has high precision, its cost and efficiency are increasingly unable to meet the needs of modern society. Machine learning methods can make up for the deficiencies of biological experimental techniques to a certain extent, but they are not as simple and fast as deep learning for data processing. In this paper, a deep learning framework based on parallel long and short-term memory(LSTM) and convolutional neural networks(CNN) was proposed to identify DNA-binding protein. This model can not only further extract the information and features of protein sequences, but also the features of evolutionary information. Finally, the two features are combined for training and testing. On the PDB2272 dataset, compared with PDBP_Fusion model, Accuracy(ACC) and Matthew’s Correlation Coefficient (MCC) increased by 3.82% and 7.98% respectively. The experimental results of this model have certain advantages.
Construction Accidents in Spain: Implications for an Aging Workforce
Authors: Fontaneda Ignacio , Camino López Miguel A. , González Alcántara Oscar J. , Greiner Birgit A.
Published: June 2022

Construction workers are getting older. In the European Union, the percentage of workers over 50 grew from 24.7% in 2011 to 31.5% in 2018, in Spain from 20.4% to 31.2%. Objective. Identify trends and detailed patterns of accidents of older construction workers compared to other age groups. Data and Method. We analyzed construction accidents in Spain from 2011 to 2018 (N = 455,491). The number of accidents and lost working days (LWD) were broken down by occupation, seniority, company size, temporal variables (weekday, hour), trigger, and body part injured and compared for different age groups. Results. Although older worker had fewer accidents, the consequences of accidents were more serious. Those over 50 years had 84% more lost working days (LWD) than those under 24 years, 48% more than those between 25 and 39 years, and 21% more than those between 40 and 49 years. (1) Occupation: the percentage of accidents grew with age for supervisors, lorry drivers, and bricklayers. (2) Seniority: the least experienced (less than 6 months) and the most experienced (more than 6 years) had the most LWD. (3) Company size: there are 24.5% of accidents in companies of less than four workers. (4) Trigger: older workers suffered more falls, both from height and at the same level. (5) Time: the percentage of accidents in those over 50 was higher on Thursdays and Fridays, in the afternoons from 4 to 7 p.m., and after four hours of work. (6) Injury: this shows the longest absences for shoulder injuries for those over 50 years, with an average of 70 LWD.
Clonal Hematopoiesis and Mosaicism Revealed by a Multi-Tissue Analysis of Constitutional TP53 Status
Authors: Castillo Danielle , Yuan Tze-An , Nehoray Bita , Cervantes Aleck , Tsang Kevin K. , Yang Kai , Sand Sharon R. , Mokhnatkin Janet , Herzog Josef , Slavin Thomas P. , Hyman Sophie , Schwartz Alison , Ebert Benjamin L. , Amos Christopher I. , Garber Judy E. , Weitzel Jeffrey N.
Published: June 2022

Background:

Though germline TP53 pathogenic/likely pathogenic variants (PV) are associated with Li–Fraumeni syndrome, many detected by multigene panels represent aberrant clonal expansion (ACE), most due to clonal hematopoiesis (CH). Discerning ACE/CH from germline variants and postzygotic mosaicism (PZM) is critically needed for risk assessment and management.

Methods:

Participants in the Li-Fraumeni & TP53 Understanding & Progress (LiFT UP) study with a TP53 PV were eligible. Demographics, personal/family cancer history, and clinical laboratory test reports were obtained. DNA from multiple tissues was analyzed using a custom QIAseq assay (ACE panel) that included TP53 and other CH-associated genes; the ACE panel and eyebrow follicles were assessed in a workflow to discern TP53 PV clinical categories.

Results:

Among 134 participants there was a significant difference for the age at diagnosis (P < 0.001), component cancers (P = 0.007), and clinical testing criteria (P < 0.001), comparing germline with PZM or ACE. ACE panel analysis of DNA from 55 sets of eyebrow follicles (mean 1.4 ug) and 36 formalin-fixed, paraffin imbedded tissues demonstrated low variance (SE, 3%; P = 0.993) for TP53 variant allele fraction, with no significant difference (P = 0.965) between tissue types, and detected CH gene PVs. Of 55 multi-tissue cases, germline status was confirmed for 20, PZM in seven, ACE for 25, and three were indeterminate. Additional CH variants were detected in six ACE and two germline cases.

Conclusions:

We demonstrated an effective approach and tools for discerning germline TP53 status.

Impact:

Discernment of PZM and TP53-driven CH increases diagnostic accuracy and enables risk-appropriate care.
Use of Fluoxetine to Reduce Weight in Adults with Overweight or Obesity: Abridged Republication of the Cochrane Systematic Review
Authors: Serralde-Zuñiga Aurora E. , González-Garay Alejandro G. , Rodríguez-Carmona Yanelli , Meléndez-Mier Guillermo
Published: June 2022

Introduction: Using fluoxetine is one of many weight loss strategies. A serotonin reuptake inhibitor indicated for depression believed to impact weight control by changing an individual’s appetite; however, its benefit-risk ratio is unclear. The aim of this review was to assess the efficacy and safety of fluoxetine in reducing weight in adults with overweight or obesity. Methods: We searched Cochrane Library, MEDLINE, Embase, and other databases without language restrictions. Cochrane Collaboration tool and GRADE instrument assessed the risk of bias of randomized controlled trials and certainty of their evidence. We conducted random-effects meta-analyses and calculated the risk ratio/mean difference with 95% confidence intervals for the outcomes. Results: We included 19 trials (2,216 adults) and found that fluoxetine may reduce weight by −2.7 kg (95% CI −4 to −1.4; p < 0.001) and body mass index by −1.1 kg/m2 (95% CI −3.7 to 1.4), compared with placebo; however, it would cause approximately twice as many adverse events, such as dizziness, drowsiness, fatigue, insomnia, or nausea. Conclusions: Although low-certainty evidence suggests that off-label fluoxetine may reduce weight, high-certainty research is needed to be conducted in the future to determine its effects exclusively as well as whether it is useful when combined with other agents. This article is based on a Cochrane Review published in the Cochrane Database of Systematic Reviews 2019, Issue 10, DOI: 10.1002/14651858.CD011688.pub2. Cochrane Reviews are regularly updated as new evidence emerges, and in response to feedback, it should be consulted for the most recent version of the review.
An annotated avian inventory of the Brazilian state of Alagoas, one of the world’s most threatened avifauna
Authors: Lima Rafael Dantas , Silveira Luís Fábio , Lemos Renata Constant de Amorim , Lobo-Araújo Lahert William , Andrade Arthur Barbosa de , Francisco Mercival Roberto , Efe Márcio Amorim
Published: June 2022

The northeast Brazilian state of Alagoas harbors a rather diverse, and one of the world’s most threatened, avifauna. However, the knowledge about its avifauna is currently scattered on several publications and the state’s birds have never been comprehensively assembled into a checklist. To fill this shortfall, we present here the first critical review of all available bird records for the state of Alagoas. We present a list of 520 bird species recorded in the state, of which 503 are supported by documentary evidence. We also comment on the distribution, migratory movements, taxonomy and conservation of the region’s avifauna and correct previous misidentified or invalid records for the state.
Procedimento para cálculo experimental da posição do centro de gravidade de veículos rodoviários
Authors: Onuki Ciro Kandi Taniguchi
Published: June 2022

A posição do centro de gravidade de veículos rodoviários está diretamente relacionada com a segurança. Além de ser um fator influente na dirigibilidade e no conforto da suspensão (devido à sua influência no momento de inércia), o limite no qual o veículo pode fazer uma curva sem capotar é função apenas da velocidade, do atrito com a pista e da altura do centro de gravidade. Para veículos de grande porte este último possui a maior influência. Um procedimento simples para medir experimentalmente esta posição é detalhadamente explicado. Esse procedimento é igualmente preciso e possível de ser adaptado em veículos com geometrias diferentes, nos quais é difícil posicionar as células de carga.
Sistema de simulação e design para realidade aumentada baseada em vídeo-mapping
Authors: Prado Lucas Meirelles do
Published: June 2022

A realidade aumentada possui grande potencial para se espalhar pelo mundo. Existem hoje diversos meios de misturar a realidade com o mundo virtual. Neste projeto, interessa a utilização do vídeo-mapping como um meio de aumentar a realidade. Esse tipo de tecnologia usa objetos reais como meio básico para ser aumentado, que será colorido e modificado com um projetor. Interessou-se ainda mais pelo projeto e pelo desenvolvimento dessas estruturas projetivas, sobre como pode-se criar, da maneira mais fácil e produtiva, um sistema de projeção que seja capaz de iluminar um objeto de determinado tamanho. Quais deverão ser as dimensões para isso? Estas perguntas motivam o desenvolvimento de um sistema de CAD específico para projeções. Esse software foi desenvolvido e testado nesta pesquisa. Apresentam-se aqui as principais descobertas e os algoritmos utilizados para a construção de tal equipamento.
Síntese histórica da Escola Avançada de Engenharia Mecatrônica
Authors: Machado Gabriel Moura
Published: June 2022

O presente texto busca apresentar uma síntese histórica da Escola Avançada de Engenharia Mecatrônica, projeto realizado pelo grupo PET - Automação e Sistemas da Escola Politécnica da Universidade de São Paulo (EPUSP). Para tanto, inicialmente descreve-se o projeto, relacionando suas características, para atender dois objetivos principais: diminuir a evasão dos ingressantes em engenharia mecatrônica e servir como um laboratório da graduação, isto é, como um espaço para testar novos métodos de ensino-aprendizagem. Por fim, faz-se uma análise histórica das melhorias implementadas de maneira incremental, ao longo dos 13 anos de existência do projeto, até atingir a forma atual.
Recent HIV infections: evaluation of a simple identification score for newly diagnosed patients
Authors: Matsuda Elaine Monteiro , Ahagon Cintia Mayumi , Coelho Luana Portes Ozório , Campos Ivana Barros de , Colpas Daniela Rodrigues , Carmo Andreia Moreira dos Santos , Brígido Luís Fernando de Macedo
Published: June 2022

OBJECTIVE: Recognize incident infection to better characterize the groups that fuel HIV epidemic. We propose a simple score to identify recent infections among newly diagnosed patients as a HIV surveillance tool. METHODS: Newly diagnosed patients were defined as recent infections when a negative serological test in the previous year was available. Laboratory tests, such as the avidity index (Bio-Rad, according to the CEPHIA protocol), chemiluminescent intensity (CMIA, architect, Abbott), and the nucleotide ambiguity index of partial pol sequences were used as proxies of recency. A simple score based on clinical symptoms of acute retroviral syndrome during the previous year, CD4+ T cell count, and viral load at admission was tested to assess the predictive power, using receiver operating characteristic (ROC) curves, to identify recent cases of infection. RESULTS: We evaluated 204 recently diagnosed patients who were admitted to the Ambulatório de Referência em Moléstias Infecciosas de Santo André (Santo André Reference Infectious Diseases Outpatient Clinic), in the metropolitan region of São Paulo, Brazil, recruited between 2011 and 2018. An HIV-negative test in the year prior to enrollment was documented in 37% of participants. The proportion of cases classified as recent infections (less than one year), according to the laboratory proxies were: 37% (67/181) for an avidity index < 40%, 22% (30/137) for a CMIA < 200, and 68% (124/181) for an ambiguity index < 0.5%. Using different combinations of recency definitions, our score showed an area under the ROC curve from 0.66 to 0.87 to predict recency. CONCLUSIONS: Using data from patients’ interviews and routine laboratory tests at admission, a simple score may provide information on HIV recency and thus, a proxy for HIV incidence to guide public policies. This simple for the Brazilian public health system and other low- and middle-income countries.
Microcephaly measurement in adults and its association with clinical variables
Authors: Costa Nicole Rezende da , Mancine Livia , Salvini Rogerio , Teixeira Juliana de Melo , Rodriguez Roberta Diehl , Leite Renata Elaine Paraizo , Nascimento Camila , Pasqualucci Carlos Augusto , Nitrini Ricardo , Jacob-Filho Wilson , Lafer Beny , Grinberg Lea Tenenholz , Suemoto Claudia Kimie , Nunes Paula Villela
Published: June 2022

OBJECTIVE: To establish a microcephaly cut-off size in adults using head circumference as an indirect measure of brain size, as well as to explore factors associated with microcephaly via data mining. METHODS: In autopsy studies, head circumference was measured with an inelastic tape placed around the skull. Total brain volume was also directly measured. A linear regression was used to determine the association of head circumference with brain volume and clinical variables. Microcephaly was defined as head circumference that were two standard deviations below the mean of significant clinical variables. We further applied an association rule mining to find rules associating microcephaly with several sociodemographic and clinical variables. RESULTS: In our sample of 2,508 adults, the mean head circumference was 55.3 ± 2.7cm. Head circumference was related to height, cerebral volume, and sex (p < 0.001 for all). Microcephaly was present in 4.7% of the sample (n = 119). Out of 34,355 association rules, we found significant relationships between microcephaly and a clinical dementia rating (CDR) > 0.5 with an informant questionnaire on cognitive decline in the elderly (IQCODE) ≥ 3.4 (confidence: 100% and lift: 5.6), between microcephaly and a CDR > 0.5 with age over 70 years (confidence: 42% and lift: 2.4), and microcephaly and males (confidence: 68.1% and lift: 1.3). CONCLUSION: Head circumference was related to cerebral volume. Due to its low cost and easy use, head circumference can be used as a screening test for microcephaly, adjusting it for gender and height. Microcephaly was associated with dementia at old age.
Impact of covid-19 on people living with HIV-1: care and prevention indicators at a local and nationwide level, Santo André, Brazil
Authors: Matsuda Elaine Monteiro , Oliveira Isabela Penteriche de , Bao Laura Ballesteros , Manzoni Fernanda Matsuda , Campos Norberto Camilo , Varejão Beatriz Brajal , Leal Maristelly Pereira , Nascimento Vania Barbosa , Brígido Luís Fernando de Macedo
Published: June 2022

The world has been dealing with Aids for forty years, covid-19 accentuated societal inequalities and promoted a rupture in care and prevention, including for people living with HIV. We compiled official HIV indicators, analyzed the impact of covid-19 in Brazil, at São Paulo State (SP), and compared it to the municipality of Santo André (in the state of São Paulo), which adopted linkage/retention strategies to mitigate the impact of covid-19. From 2019 to 2020, suppression/adhesion rates remained stable. The number of new treatments decreased both in Brazil (-19.75%) and São Paulo (-16.44%), but not in Santo André, where 80% of new patients started treatment within 30 days from their first TCD4 test (70% in São Paulo and 64% in Brazil). However, PrEP dispensing increased during this period. The distribution of 2,820 HIV self-tests in Santo André lead to only one documented new HIV diagnosis linked to care. Synergistic strategies to swiftly diagnose and connect new cases, ensuring retention as well as rescuing missing patients deserve priority in the fight against HIV, especially in times of covid-19.
Fibrinogen and Factor XIII in Venous Thrombosis and Thrombus Stability
Authors: Wolberg Alisa S. , Sang Yaqiu
Published: June 2022

As the third most common vascular disease, venous thromboembolism is associated with significant mortality and morbidity. Pathogenesis underlying venous thrombosis is still not fully understood. Accumulating data suggest fibrin network structure and factor XIII-mediated crosslinking are major determinants of venous thrombus mass, composition, and stability. Understanding the cellular and molecular mechanisms mediating fibrin(ogen) and factor XIII production and function and their ability to influence venous thrombosis and resolution may inspire new anticoagulant strategies that target these proteins to reduce or prevent venous thrombosis in certain at-risk patients. This article summarizes fibrinogen and factor XIII biology and current knowledge of their function during venous thromboembolism.
Strategies for Maintaining Brain Health: The Role of Stroke Risk Factors Unique to Elderly Women
Authors: Manwani Bharti , Finger Carson , Lisabeth Lynda
Published: June 2022

Stroke risk and prevalence increase with advanced age and women tend to be older than men at the time of their first stroke. Advanced age in women confers unique stroke risks that are beyond reproductive factors. Previous reviews and guidelines have largely focused on risk factors specific to women, with a predominant focus on reproductive factors and, therefore, younger to middle-aged women. This review aims to specifically describe stroke risk factors in elderly women, the population of women where the majority of strokes occur, with a focus on atrial fibrillation, hormone therapy, psychosocial risk factors, and cognitive impairment. Our review suggests that prevention and management of stroke risks that are unique or more prevalent in elderly women needs a coordinated system of care from general physicians, general neurologists, vascular and cognitive neurologists, psychologists, cardiologists, patients, and their caretakers. Early identification and management of the elderly woman–specific and traditional stroke risk factors is key for decreasing stroke burden in elderly women. Increased education among elderly women regarding stroke risk factors and their identification should be considered, and an update to the guidelines for prevention of stroke in women is strongly encouraged.
Modern Brain Arteriovenous Malformation Models: A Review
Authors: Bazil Maximilian J. , Shigematsu Tomoyoshi , Berenstein Alejandro , Bederson Joshua , Fifi Johanna T.
Published: June 2022

Background

Research of William Hunter's hypothesized (then discovered) arteriovenous varix (now arteriovenous malformation [AVM]) has developed exponentially over the previous quarter‐millennium. Virchow and Luschka's subsequent contributions (nearly 100 years later) by identifying an AVM of the brain and its congenital nature were 2 of the first significant developments made in the field. AVMs present as an erroneous connection (known as a fistula) between an artery and a vein that bypasses the capillary circulation. The arteries and arterioles contributing to the malformation are known as feeders which connect to the draining veins via a plexiform vascular network known as a nidus. Prior to the design of a synthetic anastomosis coupled with vessel ligation by Spetzler et al, animal models were largely based on embolization or study of the normal anatomy. The animal and early genetic models have been reported on at length and numerous times across the literature, but novel developments spanning the previous decade have ushered in a technological revolution of vascular modeling that warrants discussion and analysis.

Methods

Parameterization of a PubMed query to include all literature including the words “brain,” “arteriovenous malformation,” and “model” yielded 489 articles. After extraction of relevant literature and full‐text screening, 41 articles were chosen for detailed review.

Results

Technological innovations outside of neurosurgery have greatly impacted the development of novel AVM models in the form of 3D flow models printed into silicon models and combined with advanced imaging technology such as 4D flow magnetic resonance imagin. Technological developments in preservation solutions, catheterization tools, and imaging technologies have also allowed for advent of the cerebrovascular placental model for testing of treatments such as radiosurgery, glue embolization, coiling, as well as histological assessment of tissue directly after intervention.

Conclusion

We review the breadth of AVM models in the literature over the last almost 5 decades.
Two new species of Lamourouxia section Hemispadon (Orobanchaceae) from western Mexico
Authors: FRANCISCO-GUTIÉRREZ ANTONIO , RUIZ-SANCHEZ EDUARDO , GONZÁLEZ DOLORES , LIRA-NORIEGA ANDRÉS
Published: June 2022

After almost 30 years since the last description of a Lamourouxia species, in this paper, two new species are described, illustrated, and compared. The new species are endemic to the states of Durango, Jalisco, Nayarit, and Sinaloa in western and northwestern Mexico, and as several species of the genus, these are of restricted geographic distribution and have scarce representation in biological collections. The new species belong to Lamourouxia section Hemispadon. With these new species Lamourouxia reaches a total of 30 species all occurring in the American continent.
Channel Potential Modelling of Surrounded Channel Junction Less Field Effect Transistor
Authors: Das Namita , Deva Sarma Kaushik Chandra
Published: June 2022

An analytical model for potential in channel region is obtained for a Surrounded channel junction-less field effect transistor. Two dimensional Poisson’s equation has been solved to obtain the mathematical potential modelling. The dependence of channel potential on gate voltage,
gate oxide thickness, type of gate dielectric, doping concentration, channel length is shown. The model is fully analytical in nature and suitable for compact modelling. The potential model developed is compared with results obtained from TCAD numerical simulation results.