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The size of the elderly population in China has been increasing, and according to UN standards and relevant data, China has entered an aging society. With the aging of the population, residents' pension has become the focus of attention of the public and governments at all levels. Therefore, based on the life cycle theory, this paper considers the index and conversion coefficient of community coverage and elderly population coverage of pension service facilities in Hefei, Anhui Province. The problems existing in the spatial allocation of urban pension service facilities were also examined. This study developed the evaluation criteria for the rationality of spatial allocation of urban elderly service facilities in Hefei and analyzed their construction and spatial distribution characteristics by using GIS spatial methods, such as kernel density and network analysis. The rationality of spatial allocation was evaluated from three different spatial scales—cities, administrative regions, and streets—to provide a theoretical basis for the formulation of optimization measures. The results were as follows: 1) The supply of urban elderly care in Hefei is mainly based on community elderly care services, and the number and volume of care facilities are quite different among the four administrative regions. 2) The spatial distribution and configuration rationality of pension service facilities decrease from the urban center to the surrounding areas. The new urban area is weak in terms of pension service supply. The coverage rate of the elderly population in old urban areas is significantly higher than that in new areas. 3) The rationality of spatial allocation of urban pension service facilities is more significant at the street level, and the coverage of similar streets shows obvious spatial aggregation characteristics. Based on the residential area coverage rate of pension service facilities, this paper proposes the concept of elderly population coverage rate, and establishes the conversion coefficient between the two, which is the innovation of the research method adopted in this study. In addition, the rationality evaluation standard of spatial allocation of pension service facilities is constructed, providing a basis for rationality evaluation analysis. Through a comparative study of different spatial levels of cities, administrative districts, and streets, it was found that the evaluation of spatial allocation rationality of pension service facilities is closely related to the spatial scale: the smaller the spatial scale, the more accurate the evaluation. The results of this study could be useful for relevant research on other similar cities. Further, this study has practical significance for the allocation and layout of urban elderly service facilities. In other words, in the process of constructing the life cycle, the spatial distribution characteristics of service objects should be fully considered in the allocation of public service facilities, and attempts should be made to achieve a high spatial matching between "people" and "facilities".

Summary: The dysregulation of the Janus family tyrosine kinase‐signal transducer and activator of transcription (JAK‐STAT) is closely related to acute lymphoblastic leukaemia (ALL), whereas the clinical value of phosphorylated STAT5 (pSTAT5) remains elusive. Herein we performed a prospective study on clinical significance of flow cytometry‐based pSTAT5 in adult B‐ALL patients. A total of 184 patients were enrolled in the Precision‐Classification‐Directed‐Target‐Total‐Therapy (PDT)‐ALL‐2016 cohort between January 2018 and December 2021, and STAT5 phosphorylation was detected by flow cytometry at diagnosis. Based on flow‐pSTAT5, the population was classified into pSTAT5low (113/184, 61.1%) and pSTAT5high (71/184, 38.9%). Overall survival (OS) and event‐free survival (EFS) were inferior in pSTAT5high patients than in those with pSTAT5low (OS, 44.8% vs. 65.2%, p = 0.004; EFS, 23.5% vs. 52.1%, p < 0.001), which was further confirmed in an external validation cohort. Furthermore, pSTAT5 plus flow‐based minimal residual disease (MRD) postinduction defines a novel risk classification as being high risk (HR, pSTAT5high + MRD+), standard risk (SR, pSTAT5low + MRD−) and others as moderate‐risk group. Three identified patient subgroups are distinguishable with disparate survival curves (3‐year OS rates, 36.5%, 56.7% and 76.3%, p < 0.001), which was confirmed on multivariate analysis (hazard ratio 3.53, p = 0.003). Collectively, our study proposed a novel, simple and flow‐based risk classification by integrating pSTAT5 and MRD in favour of risk‐guided treatment for B‐ALL. [ABSTRACT FROM AUTHOR]

The household's electricity consumption behaviour follows a unique sequential pattern and can be identified by analyzing the electricity consumption data with fine granularity in a smart home context. This particular sequence is concretely embodied in a series of electrical activities with temporal association relationships, thus forming a unique household electrical appliance activity-based chain (EAAC). In this study, we propose a method that combines an improved Apriori algorithm and Social Network to construct a household EAACs. First, we improved the Apriori algorithm (Apriori (1,1)) by combining the temporal and transactional sequences and used it to mine the time-series activity associations among different household appliances. After that, we used the Sliding Window concept to splice the time-series associations and obtain the unique EAACs for each household. Next, we visualized the EAACs using the Social Network analysis to reflect the unique sequential features of household electricity consumption behaviours. Finally, the model was validated by analyzing two families' actual household electricity consumption data, and future research directions were given. [ABSTRACT FROM AUTHOR]

Byline: Ying. Wu, Sijin. Yang, Zhi. Zheng, Hong. Pan, Yundong. Jiang, Xue. Bai, Tianzhu. Liu, Shiyu. Deng, Yaqin. Li Background: miRNAs are crucial regulators of angiogenesis, but there have been [...]

The prognostic impact of TP53 mutations (TP53mut) in adult acute lymphoblastic leukemia (ALL) remains debatable. Herein, we determined the clinical significance of TP53mut in 283 adult ALL patients treated with a pediatric-type regimen. TP53mut were found in 11.0% (31) of patients, including 19 cases in adolescent and young adult (AYA) patients and 12 cases in non-AYA patients. Patients with TP53mut had poorer overall survival (OS) and event-free survival (EFS) in the non-AYA subgroup (n = 64) (3-year OS, 18.2% vs 50.9%, p =.0033; 3-year EFS, 0 vs 45.3%, p =.00028). however, this had to be taken cautiously due to a limited number of patients. In the AYA subgroup (n = 219), TP53mut did not impact OS or EFS (3-year OS, 60.6%vs71.0%, p =.55; 3-year EFS, 52.5%vs59.6%, p =.57). Collectively, our data reveal that the pediatric-type regimen eliminated the poor prognostic impact of TP53mut in AYA ALL. However, in non-AYA ALL patients, TP53mut remain a potential biomarker associated with poor outcomes. [ABSTRACT FROM AUTHOR]

Laser Time Transfer (LTT) has proven to be able to improve remote time transfer accuracy compared to microwave technology. The impact of satellite clock errors and atmospheric delays during LTT will be further reduced in the common-view mode. The challenge is presented as an optimization problem that is limited by satellite trajectories. This paper introduces an improved simulated annealing algorithm designed to maximize the common-view possibility among various station pairs within regional Satellite Laser Ranging (SLR) networks by optimizing satellite orbit trajectories. The study proposes a system model that integrates LTT principles with satellite visibility considerations. The simulated annealing algorithm is improved with new annealing strategies that incorporate control strategies, and modify the cooling function. Comparative simulation analyses demonstrate the effectiveness of the algorithm, resulting in a significant reduction in computation time by over 10 times. The optimized orbits exhibit common-view windows between 3.337 and 8.955 times longer than existing orbits. Further simulations are conducted to optimize the orbits, and common-view models are established for 45 pairs among 10 stations. The optimizations result in common-view times ranging from 6.183 to 60.633 min in the Asia-Pacific region and from 5.583 to 61.75 min in the Europe-to-Asia region. This can provide valuable references for designing satellite constellations. [ABSTRACT FROM AUTHOR]

The real-time light curve classification of transients is helpful in searching for rare transients. We propose a new algorithm based on machine learning, namely the Temporary Convective Network and Light Gradient Boosting Machine Combined with Weight Module Algorithm (TLW). The TLW algorithm can classify the photometric simulation transients data in g, r, i bands provided via PLAsTiCC, typing Tidal Disruption Event (TDE), Kilonova (KN), Type Ia supernova (SNIa), and Type I Super-luminous supernova (SLSN-I). When comparing the real-time classification results of the TLW algorithm and six other algorithms, such as Rapid, we found that the TLW algorithm has the best comprehensive performance indexes and has the advantages of high precision and high efficiency. The average accuracy of TLW is 84.54%. The average implementation timings of the TLW algorithm for classifying four types of transients is 123.09 s, which is based on TensorFlow's architecture in windows and python. We use three indicators to prove that the TLW algorithm is superior to the classical Rapid algorithm, including Confusion Matrix, PR curve, and ROC curve. We also use the TLW algorithm to classify ZTF real transients. The real-time classification results for ZTF transients show that the accuracy of the TLW algorithm is higher than the other six algorithms. [ABSTRACT FROM AUTHOR]

Cells are highly sensitive to their geometrical and mechanical microenvironment that directly regulate cell shape, cytoskeleton and organelle, as well as the nucleus morphology and genetic expression. The emerging two-dimensional micropatterning techniques offer powerful tools to construct controllable and well-organized microenvironment for single-cell level investigations with qualitative analysis, cellular standardization, and in vivo environment mimicking. Here, we provide an overview of the basic principle and characteristics of the two most widely-used micropatterning techniques, including photolithographic micropatterning and soft lithography micropatterning. Moreover, we summarize the application of micropatterning technique in controlling cytoskeleton, cell migration, nucleus and gene expression, as well as intercellular communication. [ABSTRACT FROM AUTHOR]

In order to ensure that the power supply can be restored quickly and efficiently under extreme conditions, an evaluation and decision-making method for mobile energy storage site selection and capacity planning considering the behaviour of decision makers is proposed. The prospect value is calculated based on the prospect theory to describe the bounded rationality and loss aversion of decision makers, and the attribute weight is calculated based on the relative closeness, and then the comprehensive value is obtained. Based on this, we can choose a mobile energy storage installation plan that is more in line with the psychology of decision makers.