A Critical Analysis of Machine Learning and Deep Learning Methods for Cervical Cancer Screening

Cervical cancer is a serious public health issue worldwide, and early identification is crucial for better patient outcomes. Recent study has investigated how ML and DL approaches may be used to increase the accuracy of vagina tests. In this piece, we conducted a thorough review of 50 research studies that applied these techniques. Our investigation compared the outcomes to well-known screening techniques and concentrated on the datasets used and performance measurements reported. According to the research, convolutional neural networks and other deep learning approaches have potential for lowering false positives and boosting screening precision. Although several research used small sample sizes or constrained datasets, this raises questions about how applicable the findings are. This paper discusses the advantages and disadvantages of the articles that were chosen, as well as prospective topics for future research, to further the application of ml and dl in cervical cancer screening. The development of cervical cancer screening technologies that are more precise, accessible, and can lead to better public health outcomes is significantly affected by these findings.

Smart Semi-active PID-ACO control strategy for tower vibration reduction in Wind Turbines with MR damper

Wind turbine technology is well known around the globe as an eco-friendly and eff ective renewable power source. However, this technology often faces reliability problems due to structural vibration. This study proposes a smart semi-active vibration control system using Magnetorheological (MR) dampers where feedback controllers are optimized with nature-inspired algorithms. Proportional integral derivative (PID) and Proportional integral (PI) controllers are designed to achieve the optimal desired force and current input for MR the damper. PID control parameters are optimized using an Ant colony optimization (ACO) algorithm. The eff ectiveness of the ACO algorithm is validated by comparing its performance with Ziegler-Nichols (Z-N) and particle swarm optimization (PSO). The placement of the MR damper on the tower is also investigated to ensure structural balance and optimal desired force from the MR damper. The simulation results show that the proposed semi-active PID-ACO control strategy can signifi cantly reduce vibration on the wind turbine tower under diff erent frequencies (i.e., 67%, 73%, 79% and 34.4% at 2 Hz, 3 Hz, 4.6 Hz and 6 Hz, respectively) and amplitudes (i.e. 50%, 58% and 67% for 50 N, 80 N, and 100 N, respectively). In this study, the simulation model is validated with an experimental study in terms of natural frequency, mode shape and uncontrolled response at the 1st mode. The proposed PID-ACO control strategy and optimal MR damper position is also implemented on a lab-scaled wind turbine tower model. The results show that the vibration reduction rate is 66% and 73% in the experimental and simulation study, respectively, at the 1st mode.

A multi-purpose National Forest Inventory in Bangladesh:design,operationalisation and key results

Background:National forest inventory and forest monitoring systems are more important than ever considering continued global degradation of trees and forests.These systems are especially important in a country like Bangladesh,which is characterised by a large population density,climate change vulnerability and dependence on natural resources.With the aim of supporting the Government’s actions towards sustainable forest management through reliable information,the Bangladesh Forest Inventory(BFI)was designed and implemented through three components:biophysical inventory,socio-economic survey and remote sensing-based land cover mapping.This article documents the approach undertaken by the Forest Department under the Ministry of Environment,Forests and Climate Change to establish the BFI as a multipurpose,efficient,accurate and replicable national forest assessment.The design,operationalization and some key results of the process are presented.Methods:The BFI takes advantage of the latest and most well-accepted technological and methodological approaches.Importantly,it was designed through a collaborative process which drew from the experience and knowledge of multiple national and international entities.Overall,1781 field plots were visited,6400 households were surveyed,and a national land cover map for the year 2015 was produced.Innovative technological enhancements include a semi-automated segmentation approach for developing the wall-to-wall land cover map,an object-based national land characterisation system,consistent estimates between sample-based and mapped land cover areas,use of mobile apps for tree species identification and data collection,and use of differential global positioning system for referencing plot centres.Results:Seven criteria,and multiple associated indicators,were developed for monitoring progress towards sustainable forest management goals,informing management decisions,and national and international reporting needs.A wide range of biophysical and socioeconomic data were collected,and in some cases integrated,for estimating the indicators.Conclusions:The BFI is a new information source tool for helping guide Bangladesh towards a sustainable future.Reliable information on the status of tree and forest resources,as well as land use,empowers evidence-based decision making across multiple stakeholders and at different levels for protecting natural resources.The integrated socioeconomic data collected provides information about the interactions between people and their tree and forest resources,and the valuation of ecosystem services.The BFI is designed to be a permanent assessment of these resources,and future data collection will enable monitoring of trends against the current baseline.However,additional institutional support as well as continuation of collaboration among national partners is crucial for sustaining the BFI process in future.

Introduction of Zika virus in Bangladesh:An impending public health threat

Objective: To explore the presence of Zika virus(ZIKV) in Bangladesh and to understand the associated risk factors.Methods: A retrospective sero-surveillance was performed on stored serum samples of dengue surveillance conducted from 2013 to 2016. Real time RT-PCR was performed on randomly selected acute serum samples to detect the Zika virus nucleic acid.Results: Of 200 samples screened, one was found positive for ZIKV by real time RTPCR and further confirmed by genome sequencing. The case was a 65 years old male from a metropolitan city of Bangladesh who had no history of travel outside Bangladesh.Phylogenetic analysis of partial E gene sequences from Bangladeshi isolates demonstrated a close relationship with ZIKV from Brazil and current South American strains clustering within a monophyletic clade distinct from African lineage.Conclusions: Presence of ZIKV raises serious public health concerns in Bangladesh owing to its association with congenital anomalies/neurological-manifestations. We,therefore, recommend every suspected viral fever patient, particularly pregnant women be screened for ZIKV infection to rule out yet another emerging infection in Bangladesh.

Effect of the antenna slot numbers and position on the performance of microwave ablation

Microwave ablation(MWA)is a type of thermal ablation used for cancer treatment in interventional radiology.To induce localized tissue heating MWA employs electromagnetic waves within the microwave energy spectrum,which is done by the precisely designed antenna.This study substantially emphasizes the design and performance ameliorating of slot(both single and double)antennae and compares the results with conventional monopole antennae in terms of temperature distribution,specific absorption ratio(SAR),and thermal tissue damage rate.The simulation has been done in COMSOL by solving the Bioheat equation along with Maxwell electromagnetic equations using the finite element method.The simulation results reveal that the double-slot antenna has the most accurate and directional heat dissipation for liver tumors as well as the highest tissue damage rate and SAR.The highest SAR was found to be 3500 W/kg and 3350 W/kg at the implant depth of 61 mm and 63 mm for double and single-slot antennae,respectively.In addition,the fastest tissue damage occurred near the upper slot of the double-slot antenna.This study helps to understand the basic design parameters for enhancing single and doubleslot antennae performance.

磁流变阻尼器最新进展综述:优化设计和应用（英文）

本文对各种磁流变阻尼器的优化设计、制造和智能应用以及自供电和自感应技术的最新进展进行了综述。本文讨论了磁流变阻尼器的基本设计和结构以及各种类型的配置,以了解它们在各种环境和目的下的多功能性。为了应对不同的应用,本文介绍了设计的修改、优化和改进。节能是当前的终极需求,是对现代技术的挑战。磁流变阻尼器需要改进,以确保较低的电流供应得到较高的效力。这项工作将有助于在各种结构中使用磁流变阻尼器,使其以最小的电流供应进行振动控制,并在优化中获得最佳结果。

Antagonistic effect of early stage zinc on arsenic toxicity induced preterm birth during pregnancy:evidence from a rural Bangladesh birth cohort

To the Editor:Preterm birth(PTB),defined as livebirth before 37 completed weeks of gestation,is associated with a high degree of immaturity of various organs,and thus are at greater risk.of a range of short-term and long-term comorbidities.[1]The estimated PTB prevalence in Bangladesh,already among the highest at 19.1%,[2] is even higher in rural areas in Bangladesh,[3]posing a significant economic and emotional burden to these families and the country.