MLSI-RT: memorize LOS range measurements identified residual test location algorithm and performance analysis

The dominant error source of mobile terminal location in wireless sensor networks （WSNs） is the non-line-of-sight （NLOS） propagation error. Among the algorithms proposed to mitigate the influence of NLOS propagation error, residual test （RT） is an efficient one, however with high computational complexity （CC）. An improved algorithm that memorizes the light of sight （LOS） range measurements （RMs） identified memorize LOS range measurements identified residual test （MLSI-RT） is presented in this paper to address this problem. The MLSI-RT is based on the assumption that when all RMs are from LOS propagations, the normalized residual follows the central Chi-Square distribution while for NLOS cases it is non-central. This study can reduce the CC by more than 90%.

MRD-directed and risk-adapted individualized stratified treatment of AML

Measurable residual disease(MRD)has been widely recognized as a biomarker for deeply evaluating complete remission(CR),predicting relapse,guiding pre-emptive interventions,and serving as an endpoint surrogate for drug testing.However,despite the emergence of new technologies,there remains a lack of comprehensive understanding regarding the proper techniques,sample materials,and optimal time points for MRD assessment.In this review,we summarized the MRD methods,sample sources,and evaluation frequency according to the risk category of the European Leukemia Net(ELN)2022.Additionally,we emphasize the importance of properly utilizing and combining these technologies.We have also refined the flowchart outlining each time point for preemptive interventions and intervention paths.The evaluation of MRD in acute myeloid leukemia(AML)is sophisticated,clinically applicable,and technology-dependent,and necessitates standardized approaches and further research.

Single-cell immune landscape of measurable residual disease in acute myeloid leukemia

Measurable residual disease(MRD)is a powerful prognostic factor of relapse in acute myeloid leukemia(AML).We applied the single-cell RNA sequencing to bone marrow(BM)samples from patients with(n=20)and without(n=12)MRD after allogeneic hematopoietic stem cell transplantation.A comprehensive immune landscape with 184,231 cells was created.Compared with CD8+T cells enriched in the MRDnegative group(MRD‒_CD8),those enriched in the MRD-positive group(MRD+_CD8)showed lower expression levels of cytotoxicity-related genes.Three monocyte clusters(i.e.,MRD+_M)and three B-cell clusters(i.e.,MRD+_B)were enriched in the MRD-positive group.Conversion from an MRD-positive state to an MRD-negative state was accompanied by an increase in MRD‒_CD8 clusters and vice versa.MRDenriched cell clusters employed the macrophage migration inhibitory factor pathway to regulate MRD‒_CD8 clusters.These findings revealed the characteristics of the immune cell landscape in MRD positivity,which will allow for a better understanding of the immune mechanisms for MRD conversion.

Current assessment and management of measurable residual disease in patients with acute lymphoblastic leukemia in the setting of CAR-T-cell therapy

Chimeric antigen receptor(CAR)-modified T-cell therapy has achieved remarkable success in the treatment of acute lymphoblastic leukemia(ALL).Measurable/minimal residual disease(MRD)monitoring plays a significant role in the prognostication and management of patients undergoing CAR-T-cell therapy.Common MRD detection methods include flow cytometry(FCM),polymerase chain reaction(PCR),and next-generation sequencing(NGS),and each method has advantages and limitations.It has been well documented that MRD positivity predicts a poor prognosis and even disease relapse.Thus,how to perform prognostic evaluations,stratify risk based on MRD status,and apply MRD monitoring to guide individual therapeutic decisions have important implications in clinical practice.This review assesses the common and novel MRD assessment methods.In addition,we emphasize the critical role of MRD as a prognostic biomarker and summarize the latest studies regarding MRD-directed combination therapy with CAR-T-cell therapy and allogeneic hematopoietic stem cell transplantation(allo-HSCT),as well as other therapeutic strategies to improve treatment effect.Furthermore,this review discusses current challenges and strategies for MRD detection in the setting of disease relapse after targeted therapy.

TECHNOLOGY OF QUANTITATIVE ANALYSIS ON VIBRATORY STRESS RELIEF BASED ON ULTRASONIC TIME-OF-ARRIVAL METHOD

The effect of vibratory stress relief （VSR） is usually evaluated with the indirect method of observing the change of amplitude frequency response characteristics of structures. A new kind of evaluating method of VSR based on the ultrasonic time-of-arrival method （UTM）, which can obtain the residual stress directly through measuring the propagation time of ultrasonic wave in the material, is presented. At first, the principle of the measuring method of residual stress based on UTM is analyzed. Then the measuring system of the method is described, which is in virtue of ultrasonic flaw detector and high-sampling-rate digital oscillograph. And a set of calibration system that contains a piece of standard specimen is also introduced. Experimental results prove the relation between the residual stress and the propagation time of ultrasonic in workpieces. Finally, the measuring and calibration systems are applied in evaluating the effect of VSR. The final test results show that the method is effective.

ToMFIR-based fault detection approach in frequency domain

This paper is to explore further results for total measurable fault information-based residual（ToMFIR） approach to fault detection in dynamic systems.The ToMFIR contains the essential fault information and remains unaffected by control actions in a closed-loop system.It is composed of controller residual and output residual and some of further results are developed in frequency domain.Besides the ability of detecting actuator and sensor faults,it is able to detect faults/failures resulting from the computer used for control purpose that generates control signals.Currently,all of existing fault detection schemes cannot achieve the same task at all.A practical DC motor example,with a PID controller,is used to demonstrate the effectiveness of the ToMFIR-based fault detection.A comparison with the standard observer-based technique is also provided.