Characteristics analysis of a novel centralized-driving flip-flow screen

During screening operation, blinding or clogging of screen perforations generally occurs to reduce the sieving capacity and efficiency. Recently, the flip-flow screening has been widely recognized as a feasible method to deal with the problem. In this paper, a novel centralized-driving flip-flow screen(CFS) was developed for the separation of fine and moist coal, and the key structures, namely, a centralized-driving mechanism and a quasi-circle beam mounted with the mat were designed for high reliability and stability. By means of a test on an experimental prototype, the effect of some factors, i.e., initial stretch and hardness of the polyurethane panel, respectively, and the rotation speed of the driving motor on the kinematic characteristic of the screen surface was investigated. Results show that without an initial stretch, the sieve mat generates the largest vibratory amplitude while the slacker the sieve mat initially is, the smaller amplitude it will accomplish. And an increase in the rotation speed could cause a rise in the vibratory amplitude. Unlike the two factors, the hardness does not have a definite effect on the kinematic performance, on which a further study is required. Finally, screening processing on a laboratory prototype was conducted to draw the conclusion that the developed CFS also has a high sieving efficiency for the fine and moist coal.

Integral Optimization of Systematic Parameters of Flip-Flow Screens

The synthetic index K s for evaluating flip-flow screens is proposed and systematically optimized in view of the whole system. A series of optimized values of relevant parameters are found and then compared with those of the current industrial specifications. The results show that the optimized value K s approaches the one of those famous flip-flow screens in the world. Some new findings on geometric and kinematics parameters are useful for improving the flip-flow screens with a low K s value, which is helpful in developing clean coal technology.

Complex granular flows of sticky-wet material on flip-flow screens:Calibration of discrete element simulations

Discrete element method(DEM)is an effective approach for studying the screening process of flip-flow screens.However,there have been few studies focusing on the thick layer of sticky-wet particles on flip-flow screens.To achieve accurate simulations of the thick layer of sticky-wet particles on a flip-flow screen,firstly,the movement law of particle flow was studied,and a multi-regime combination cali-bration method based on characteristics of particle flow regimes was proposed.Based on the Plackett-Burman experiment,the curse of dimensionality caused by multi-state and multi-contact parameters was overcome.Subsequently,the lifting cylinder,rotating drum,and trampoline tests were carried out to obtain macroscopic reference values under various granular flow regimes.The calibration results were then determined using the response surface method and climbing algorithm.Finally,the calibration results were tested at both macroscopic and mesoscopic scales and compared with a commonly used calibration method.The results demonstrate that the calibration method,which considers the multi-state characteristics,improves simulation accuracy by 2%-10%and reduces the simulation error to less than 10%,thus meeting the requirements for engineering optimization of flip-flow screens.

Revolutionizing diabetic retinopathy screening and management:The role of artificial intelligence and machine learning

Diabetic retinopathy(DR)remains a leading cause of vision impairment and blindness among individuals with diabetes,necessitating innovative approaches to screening and management.This editorial explores the transformative potential of artificial intelligence(AI)and machine learning(ML)in revolutionizing DR care.AI and ML technologies have demonstrated remarkable advancements in enhancing the accuracy,efficiency,and accessibility of DR screening,helping to overcome barriers to early detection.These technologies leverage vast datasets to identify patterns and predict disease progression with unprecedented precision,enabling clinicians to make more informed decisions.Furthermore,AI-driven solutions hold promise in personalizing management strategies for DR,incorpo-rating predictive analytics to tailor interventions and optimize treatment path-ways.By automating routine tasks,AI can reduce the burden on healthcare providers,allowing for a more focused allocation of resources towards complex patient care.This review aims to evaluate the current advancements and applic-ations of AI and ML in DR screening,and to discuss the potential of these techno-logies in developing personalized management strategies,ultimately aiming to improve patient outcomes and reduce the global burden of DR.The integration of AI and ML in DR care represents a paradigm shift,offering a glimpse into the future of ophthalmic healthcare.

Importance of neonatal screening:A case study of sickle cell disease and cystic fibrosis coexistence

BACKGROUND Neonatal screening(NS)is a public health policy to identify genetic pathologies such as cystic fibrosis(CF),sickle cell disease,and other diseases.Sickle cell disea-se is the comprehensive term for a group of hemoglobinopathies characterized by the presence of hemoglobin S.CF is an autosomal recessive multisystemic disease with pathophysiology involving deleterious mutations in the transmembrane re-gulatory gene that encodes a protein that regulates the activity of chloride and sodium channels in the cell surface epithelium.NS is crucial for early diagnosis and management,which ensures a better quality of life.AIM To report a case of the coexistence of sickle cell anemia(SCA)and CF and perform an integrative literature review.METHODS This is an observational study and a review of the literature focusing on two rare genetic pathologies identified simultaneously in NS from the perspective of a clinical case.The authors identified only 5 cases of SCA associated with CF.No clinical trials or review articles were identified considering the rarity of the coexistence of these two pathologies.RESULTS Herein,the authors reported the case of a girl who after undergoing NS on day 8 of life was diagnosed with SCA with an alteration in the dosage of immunoreactive trypsin.The diagnosis of CF was confirmed by the Coulometry Sweat Test.The rarity of the co-occurrence of these two severe genetic pathologies(CF and SCA)is a challenge for medical science.CONCLUSION This study adds to the few case reports present in the literature that highlight the identification of two severe diseases via NS.

DEM simulation of particle flow and separation in a vibrating flip-flow screen

Vibrating flip-flow screens(VFFS)with stretchable polyurethane sieve mats have been widely used in screening fine-grained materials in recent years.In this work,the discrete element method(DEM)is used to study the screening process in VFFS to explain particle flow and separation behavior at the particle scale.Unlike traditional vibrating screens,for VFFS,the amplitude response of each point on the elastic sieve mat is different everywhere.This study measures the kinematics of the elastic sieve mat under different conditions such as different stretched lengths and material loads.To establish the elastic sieve mat model in a DEM simulation,the continuous elastic sieve mat is discretized into multiple units,and the displacement signal of each unit tested is analyzed by Fourier series.The Fourier series analysis results of each unit are used as the setting parameters for motion.In this way,the movement of the elastic sieve mat is approximately simulated,and a DEM model of VFFS is produced.Through the simulation,the flow and separation of different-sized particles in VFFS are studied,and the reasonability of the simulation is verified by a pilot-scale screening experiment.The present study demonstrates the potential of the DEM method for the analysis of screening processes in VFFS.

Stage at diagnosis of colorectal cancer through diagnostic route:Who should be screened?

BACKGROUND Colorectal cancer(CRC)is a global health concern,with advanced-stage diagnoses contributing to poor prognoses.The efficacy of CRC screening has been well-established;nevertheless,a significant proportion of patients remain unscreened,with>70%of cases diagnosed outside screening.Although identifying specific subgroups for whom CRC screening should be particularly recommended is crucial owing to limited resources,the association between the diagnostic routes and identification of these subgroups has been less appreciated.In the Japanese cancer registry,the diagnostic routes for groups discovered outside of screening are primarily categorized into those with comorbidities found during hospital visits and those with CRC-related symptoms.AIM To clarify the stage at CRC diagnosis based on diagnostic routes.METHODS We conducted a retrospective observational study using a cancer registry of patients with CRC between January 2016 and December 2019 at two hospitals.The diagnostic routes were primarily classified into three groups:Cancer screening,follow-up,and symptomatic.The early-stage was defined as Stages 0 or I.Multivariate and univariate logistic regressions were exploited to determine the odds of early-stage diagnosis in the symptomatic and cancer screening groups,referencing the follow-up group.The adjusted covariates were age,sex,and tumor location.RESULTS Of the 2083 patients,715(34.4%),1064(51.1%),and 304(14.6%)belonged to the follow-up,symptomatic,and cancer screening groups,respectively.Among the 2083 patients,CRCs diagnosed at an early stage were 57.3%(410 of 715),23.9%(254 of 1064),and 59.5%(181 of 304)in the follow-up,symptomatic,and cancer screening groups,respectively.The symptomatic group exhibited a lower likelihood of early-stage diagnosis than the follow-up group[P<0.001,adjusted odds ratio(aOR),0.23;95%confidence interval(95%CI):0.19-0.29].The likelihood of diagnosis at an early stage was similar between the follow-up and cancer screening groups(P=0.493,aOR for early-stage diagnosis in the cancer screening group vs follow-up group=1.11;95%CI=0.82-1.49).CONCLUSION CRCs detected during hospital visits for comorbidities were diagnosed earlier,similar to cancer screening.CRC screening should be recommended,particularly for patients without periodical hospital visits for comorbidities.

Colorectal cancer screening:A review of current knowledge and progress in research

Colorectal cancer(CRC)is one of the most prevalent malignancies worldwide,being the third most commonly diagnosed malignancy and the second leading cause of cancer-related deaths globally.Despite the progress in screening,early diagnosis,and treatment,approximately 20%-25%of CRC patients still present with metastatic disease at the time of their initial diagnosis.Furthermore,the burden of disease is still expected to increase,especially in individuals younger than 50 years old,among whom early-onset CRC incidence has been increasing.Screening and early detection are pivotal to improve CRC-related outcomes.It is well established that CRC screening not only reduces incidence,but also decreases deaths from CRC.Diverse screening strategies have proven effective in decreasing both CRC incidence and mortality,though variations in efficacy have been reported across the literature.However,uncertainties persist regarding the optimal screening method,age intervals and periodicity.Moreover,adherence to CRC screening remains globally low.In recent years,emerging technologies,notably artificial intelligence,and non-invasive biomarkers,have been developed to overcome these barriers.However,controversy exists over the actual impact of some of the new discoveries on CRC-related outcomes and how to effectively integrate them into daily practice.In this review,we aim to cover the current evidence surrounding CRC screening.We will further critically assess novel approaches under investigation,in an effort to differentiate promising inno-vations from mere novelties.

Colorectal cancer screening: Modalities and adherence

In the last decade,several studies have explored various modalities and strategies for colorectal cancer(CRC)screening,taking into account epidemiological data,individual characteristics,and socioeconomic factors.In this editorial,we comment further on a retrospective study by Agatsuma et al published in the recent issue of the World Journal of Gastroenterology.Our focus is on screening trends,particularly in relation to efforts to improve the currently suboptimal uptake among the general population worldwide,aiming to enhance early diagnosis rates of CRC.There is a need to raise awareness through health edu-cation programs and to consider the use of readily available,non-invasive screening methods.These strategies are crucial for attracting screen-eligible populations to participate in first-line screening,especially those in high-or average-risk groups and in regions with limited resources.Liquid biopsies and biomarkers represent rapidly evolving trends in screening and diagnosis;however,their clinical relevance has yet to be standardized.

Esophageal cancer screening,early detection and treatment:Current insights and future directions

Esophageal cancer ranks among the most prevalent malignant tumors globally,primarily due to its highly aggressive nature and poor survival rates.According to the 2020 global cancer statistics,there were approximately 604000 new cases of esophageal cancer,resulting in 544000 deaths.The 5-year survival rate hovers around a mere 15%-25%.Notably,distinct variations exist in the risk factors associated with the two primary histological types,influencing their worldwide incidence and distribution.Squamous cell carcinoma displays a high incidence in specific regions,such as certain areas in China,where it meets the cost-effect-iveness criteria for widespread endoscopy-based early diagnosis within the local population.Conversely,adenocarcinoma(EAC)represents the most common histological subtype of esophageal cancer in Europe and the United States.The role of early diagnosis in cases of EAC originating from Barrett's esophagus(BE)remains a subject of controversy.The effectiveness of early detection for EAC,particularly those arising from BE,continues to be a debated topic.The variations in how early-stage esophageal carcinoma is treated in different regions are largely due to the differing rates of early-stage cancer diagnoses.In areas with higher incidences,such as China and Japan,early diagnosis is more common,which has led to the advancement of endoscopic methods as definitive treatments.These techniques have demonstrated remarkable efficacy with minimal complications while preserving esophageal functionality.Early screening,prompt diagnosis,and timely treatment are key strategies that can significantly lower both the occurrence and death rates associated with esophageal cancer.

A mixed-coordination electron trapping-enabled high-precision touch-sensitive screen for wearable devices

Touch-sensitive screens are crucial components of wearable devices.Materials such as reduced graphene oxide(rGO),carbon nanotubes(CNTs),and graphene offer promising solutions for flexible touch-sensitive screens.However,when stacked with flexible substrates to form multilayered capacitive touching sensors,these materials often suffer from substrate delamination in response to deformation;this is due to the materials having different Young’s modulus values.Delamination results in failure to offer accurate touch screen recognition.In this work,we demonstrate an induced charge-based mutual capacitive touching sensor capable of high-precision touch sensing.This is enabled by electron trapping and polarization effects related to mixed-coordinated bonding between copper nanoparticles and vertically grown graphene nanosheets.Here,we used an electron cyclotron resonance system to directly fabricate graphene-metal nanofilms(GMNFs)using carbon and copper,which are firmly adhered to flexible substrates.After being subjected to 3000 bending actions,we observed almost no change in touch sensitivity.The screen interaction system,which has a signal-to-noise ratio of 41.16 dB and resolution of 650 dpi,was tested using a handwritten Chinese character recognition trial and achieved an accuracy of 94.82%.Taken together,these results show the promise of touch-sensitive screens that use directly fabricated GMNFs for wearable devices.

Development and validation of a prediction model for early screening of people at high risk for colorectal cancer

BACKGROUND Colorectal cancer(CRC)is a serious threat worldwide.Although early screening is suggested to be the most effective method to prevent and control CRC,the current situation of early screening for CRC is still not optimistic.In China,the incidence of CRC in the Yangtze River Delta region is increasing dramatically,but few studies have been conducted.Therefore,it is necessary to develop a simple and efficient early screening model for CRC.AIM To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC.METHODS Data of 64448 participants obtained from Ningbo Hospital,China between 2014 and 2017 were retrospectively analyzed.The cohort comprised 64448 individuals,of which,530 were excluded due to missing or incorrect data.Of 63918,7607(11.9%)individuals were considered to be high risk for CRC,and 56311(88.1%)were not.The participants were randomly allocated to a training set(44743)or validation set(19175).The discriminatory ability,predictive accuracy,and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic(ROC)curves and calibration curves and by decision curve analysis.Finally,the model was validated internally using a bootstrap resampling technique.RESULTS Seven variables,including demographic,lifestyle,and family history information,were examined.Multifactorial logistic regression analysis revealed that age[odds ratio(OR):1.03,95%confidence interval(CI):1.02-1.03,P<0.001],body mass index(BMI)(OR:1.07,95%CI:1.06-1.08,P<0.001),waist circumference(WC)(OR:1.03,95%CI:1.02-1.03 P<0.001),lifestyle(OR:0.45,95%CI:0.42-0.48,P<0.001),and family history(OR:4.28,95%CI:4.04-4.54,P<0.001)were the most significant predictors of high-risk CRC.Healthy lifestyle was a protective factor,whereas family history was the most significant risk factor.The area under the curve was 0.734(95%CI:0.723-0.745)for the final validation set ROC curve and 0.735(95%CI:0.728-0.742)for the training set ROC curve.The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population.CONCLUSION The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age,BMI,WC,lifestyle,and family history exhibited high accuracy.

Enhancing the Performance of Perovskite Light-Emitting Diodes via Synergistic Effect of Defect Passivation and Dielectric Screening

Metal halide perovskites,particularly the quasi-two-dimensional perovskite subclass,have exhibited considerable potential for next-generation electroluminescent materials for lighting and display.Nevertheless,the presence of defects within these perovskites has a substantial influence on the emission efficiency and durability of the devices.In this study,we revealed a synergistic passivation mechanism on perovskite films by using a dual-functional compound of potassium bromide.The dual functional potassium bromide on the one hand can passivate the defects of halide vacancies with bromine anions and,on the other hand,can screen the charged defects at the grain boundaries with potassium cations.This approach effectively reduces the probability of carriers quenching resulting from charged defects capture and consequently enhances the radiative recombination efficiency of perovskite thin films,leading to a significant enhancement of photoluminescence quantum yield to near-unity values(95%).Meanwhile,the potassium bromide treatment promoted the growth of homogeneous and smooth film,facilitating the charge carrier injection in the devices.Consequently,the perovskite light-emitting diodes based on this strategy achieve a maximum external quantum efficiency of~21%and maximum luminance of~60,000 cd m^(-2).This work provides a deeper insight into the passivation mechanism of ionic compound additives in perovskite with the solution method.

Non-participation of asymptomatic candidates in screening protocols reduces early diagnosis and worsens prognosis of colorectal cancer

The Agatsuma et al’s study shows that despite the evidence of the benefits of an early colorectal cancer(CRC)diagnosis,through screening in asymptomatic subjects,up to 50%of candidates reject this option and many of those affected are diagnosed later,in advanced stages.The efficacy of screening programs has been well-established for several years,which reduces the risk of CRC morbidity and mortality,without taking into account the test used for screening,or other tools.Nevertheless,a significant proportion of patients remain unscreened,so understanding the factors involved,as well as the barriers of the population to adherence is the first step to possibly modify the participation rate.These barriers could include a full range of social and political aspects,especially the type of financial provision of each health service.In Japan,health services are universal,and this advantageous situation makes it easier for citizens to access to these services,contributing to the detection of various diseases,including CRC.Interestingly,the symptomatic CRC group had a lower early-stage diagnosis rate than the patients detected during follow-up for other comorbidities,and symptomatic and cancer screening groups showed similar early-stage diagnosis.

Genetic screening of liver cancer:State of the art

Liver cancer,primarily hepatocellular carcinoma,remains a global health challenge with rising incidence and limited therapeutic options.Genetic factors play a pivotal role in the development and progression of liver cancer.This state-of-the-art paper provides a comprehensive review of the current landscape of genetic screening strategies for liver cancer.We discuss the genetic underpinnings of liver cancer,emphasizing the critical role of risk-associated genetic variants,somatic mutations,and epigenetic alterations.We also explore the intricate interplay between environmental factors and genetics,highlighting how genetic screening can aid in risk stratification and early detection via using liquid biopsy,and advancements in high-throughput sequencing technologies.By synthesizing the latest research findings,we aim to provide a comprehensive overview of the state-of-the-art genetic screening methods for liver cancer,shedding light on their potential to revolutionize early detection,risk assessment,and targeted therapies in the fight against this devastating disease.

Reliability of a computerized system for strabismus screening

AIM:To evaluate the reliability of Photo-Hirschberg screening for global strabismus performed by non-specialized personnel.METHODS:Participants at three sites were enrolled.One person at each site was trained in visual acuity measurement and use of the computerized system.Visual acuity was measured,and strabismus testing was performed using two flash photographs.All data from the three primary observers were sent to an experienced assistant researcher,who was blinded to the primary results,for re-evaluation.The primary and re-evaluation results of the Photo-Hirschberg screenings using weighted kappa for agreement were compared.RESULTS:The study included 181 participants(88 males and 93 females)and the results for primary and re-evaluation screenings were corresponded.Ten participants with contrasting results presented with unclear corneal light reflex.Sensitivity and specificity were 100%[95%confidence interval(CI):29.0%-100%]and 99.4%(95%CI:96.6%-100%),respectively,based on the Agresti test of the primary evaluation,considering the re-evaluated classification as true.CONCLUSION:The computerized system can be used for primary strabismus screening by non-specialized personnel,with 98.8%agreement with specialists.However,it cannot be used as a substitute for professional examination.

Optimization of colorectal cancer screening strategies: New insights

In this editorial,we discuss the article by Agatsuma et al.We concentrate specifically on the current routinely used screening tests recommended by society guidelines and delve into the significance of early diagnosis of colorectal cancer(CRC)and its substantial impact on both incidence and mortality rates.Screening is highly recommended,and an early diagnosis stands out as the most crucial predictor of survival for CRC patients.Therefore,it is essential to identify and address the barriers hindering adherence to screening measures,as these barriers can vary among different populations.Furthermore,we focus on screening strategy optimization by selecting high-risk groups.Patients with comorbidities who regularly visit hospitals have been diagnosed at an early stage,showing no significant difference compared to patients undergoing regular screening.This finding highlights the importance of extending screening measures to include patients with comorbidities who do not routinely visit the hospital.

Knowledge, Attitudes and Perceptions of Colorectal Cancer Screening in Brazzaville

Objective: assess the knowledge, attitudes, and perceptions of Brazzaville residents on colorectal cancer and its screening. Population and Methods: a CAP-type cross-sectional study was conducted from June 1 to October 31, 2022, with 803 workers approached at their place of service. Information was collected using a questionnaire administered to participants. The variables studied concerned knowledge, attitudes, and perceptions about colorectal cancer. SPSS software, along with Chi-square and Fisher tests, was used for data entry and analysis. Odds ratios were calculated to determine the strength of the association between variables. Results: The average age of the participants was 33.5 ± 10 years, with a sex ratio of 0.9. There were 231 health workers. The main sources of information were health personnel (78.2%) and the internet (52.6%). The site of the pathology was known to 87% of participants. About 40% identified age, genetic predispositions, and a diet rich in animal fats as risk factors. No signs of the disease were known by 50% of the participants. Colonoscopy was known as a screening method by 40% of participants. Seventy-five percent were willing to participate in a CRC awareness campaign, but only 5% agreed to a screening colonoscopy, although 96% recognized its usefulness. Overall, the level of knowledge was insufficient in 70.4% of cases;attitudes were adapted in 55.7% of cases, and perceptions were adapted in 97.3% of cases. Factors influencing knowledge included young age (p = 0.006), a good level of education, being a healthcare worker, and high socio-economic level. Conclusion: colorectal cancer and its screening are poorly understood by the population. Awareness activities must be organized to improve knowledge and promote screening and early diagnosis of CRC.

Utilization of molecular genetic approaches for colorectal cancer screening

The feasibility of population screening for colorectal cancer has been demonstrated in several studies.Most of these studies have considered individual characteristics,diagnostic approaches,epidemiological data,and socioeconomic factors.In this article,we comment on an editorial by Metaxas et al published in the recent issue of the journal.The authors emphasized the need to raise public awareness through health education programs and the possibility of using easily accessible non-invasive screening methods.Here,we focus on non-invasive molecular genetic approaches that can aid in colorectal cancer screening.On the one hand,we highlighted the use of tumor DNA/RNA markers directly for screening and,on the other hand,underline the use of polygenic risk assessment and hereditary predisposition to select individuals for more thorough cancer screening.

Automated and integrated ultrahigh throughput screening for industrial strain enabled by acoustic-droplet-ejection mass spectrometry

Synthetic biology provides unprecedented opportunities to tackle critical issues including climate change and sustainable development by constructing microbial cell factories to produce industrially valuable biochemicals,biofuels,and biomaterials using renewable biomass resources[1],where strain screening for specific metabolic traits is a critical step.Rapid,accurate,and simultaneous quantification of multiple metabolites is critical for multi-perspective strain performance evaluation and strain screening,and a generalized method or platform will also reduce method development time to speed up the screening process.