The fragility of artists' reputations from 1795 to 2020.

This study explores the longevity of artistic reputation. We empirically examine whether artists are more- or less-venerated after their death. We construct a massive historical corpus spanning 1795 to 2020 and build separate word-embedding models for each five-year period to examine how the reputations of over 3,300 famous artists-including painters, architects, composers, musicians, and writers-evolve after their death. We find that most artists gain their highest reputation right before their death, after which it declines, losing nearly one SD every century. This posthumous decline applies to artists in all domains, includes those who died young or unexpectedly, and contradicts the popular view that artists' reputations endure. Contrary to the Matthew effect, the reputational decline is the steepest for those who had the highest reputations while alive. Two mechanisms-artists' reduced visibility and the public's changing taste-are associated with much of the posthumous reputational decline. This study underscores the fragility of human reputation and shows how the collective memory of artists unfolds over time.

The role of magnesium ion in the interactions between humic acid and tetracycline in solution.

Coexisting tetracycline (TC), dissolved organic matter (DOM), and metal cations in aqueous environments might form complexes and consequently affect the environmental fate of TC. In this study, the interactions among coexisting humic acid (HA), TC, and Mg(II) in solutions were investigated by equilibrium dialysis batch experiments and nuclear magnetic resonance hydrogen spectroscopy (1H NMR) characterization. In the binary systems, the dimethylamine (4Me2NH+) functional group on the A-ring of TC bound to the oxygen-containing functional groups of HA via hydrogen bond. The solution pH affected the agglomeration morphology and dissociation of the oxygen-containing functional groups of HA as well as protonation and spatial conformation of TC, which in turn affected the HA-TC interactions. The complexation sites and ratio of Mg(II) on TC affect the binding mode in the ternary system. When the TC-Mg(II) complexation ratio is 1:1, the B, C, and D rings of TC preferentially complex with Mg(II), resulting in the change of TC from an extended to a twisted conformation. At this time, Mg(II) had a weaker inhibitory effect on binding affinity between HA and TC. When the complexation ratio was 1:2, the second Mg(II) complexation deactivated the 4Me2NH + on the A ring and further stabilized TC twisted conformation, resulting in a stronger inhibitory effect on the binding of TC to HA. Under acidic conditions, the solution pH mainly caused the difficulty in forming TC-Mg(II) complexes. The inhibitory effect of Mg(II) on the binding between HA and TC is weaker than that under alkaline conditions.

A Composite-Type MEMS Pirani Gauge for Wide Range and High Accuracy.

To achieve a wide range and high accuracy detection of the vacuum level, for example, in an encapsulated vacuum microcavity, a composite-type MEMS Pirani gauge has been designed and fabricated. The Pirani gauge consists of two gauges of different sizes connected in series, with one gauge having a larger heat-sensitive area and a larger air gap for extending the lower measurable limit of pressure (i.e., the high vacuum end) and the other gauge having a smaller heat-sensitive area and a smaller air gap for extending the upper measurable limit. The high-resistivity titanium metal was chosen as the thermistor; SiNx was chosen as the dielectric layer, considering the factors relevant to simulation and manufacturing. By simulation using COMSOL Multiphysics and NI Multisim, a range of measurement of 2 × 10-2 to 2 × 105 Pa and a sensitivity of 52.4 mV/lgPa were obtained in an N2 environment. The performance of the fabricated Pirani gauge was evaluated by using an in-house made vacuum test system. In the test, the actual points of measurement range from 6.6 × 10-2 to 1.12 × 105 Pa, and the highest sensitivity is up to 457.6 mV/lgPa. The experimental results are better in the range of measurement, sensitivity, and accuracy than the simulation results. The Pirani gauge proposed in this study is simple in structure, easy to manufacture, and suitable for integration with other MEMS devices in a microcavity to monitor the vacuum level therein.

Design of a High Sensitivity Pirani Gauge Based on Vanadium Oxide Film for High Vacuum Measurement.

We have designed a hot-plate-type micro-Pirani vacuum gauge with a simple structure and compatibility with conventional semiconductor fabrication processes. In the Pirani gauge, we used a vanadium oxide (VOx) membrane as the thermosensitive component, taking advantage of the high temperature coefficient of resistance (TCR) of VOx. The TCR value of VOx is -2%K-1∼-3%K-1, an order of magnitude higher than those of other thermal-sensitive materials, such as platinum and titanium (0.3%K-1∼0.4%K-1). On one hand, we used the high TCR of VOx to increase the Pirani sensitivity. On the other hand, we optimized the floating structure to decrease the thermal conductivity so that the detecting range of the Pirani gauge was extended on the low-pressure end. We carried out simulation experiments on the thermal zone of the Pirani gauge, the width of the cantilever beam, the material and thickness of the supporting layer, the thickness of the thermal layer (VOx), the depth of the cavity, and the shape and size. Finally, we decided on the basic size of the Pirani gauge. The prepared Pirani gauge has a thermal sensitive area of 130 × 130 µm2, with a cantilever width of 13 µm, cavity depth of 5 µm, supporting layer thickness of 300 nm, and VOx layer thickness of 110 nm. It has a dynamic range of 10-1~104 Pa and a sensitivity of 1.23 V/lgPa. The VOx Pirani was designed using a structure and fabrication process compatible with a VOx-based uncooled infrared microbolometer so that it can be integrated by wafer level. This work contains only our MEMS Pirani gauge device design, preparation process design, and readout circuit design, while the characterization and relevant experimental results will be reported in the future.

The relationship of chronic and momentary work stress to cardiac reactivity in female managers: feasibility of a smart phone-assisted assessment system.

OBJECTIVES: To evaluate a wireless smart phone-assisted (SPA) system that assesses ongoing heart rate (HR) and HR-triggered participant reports of momentary stress when HR is elevated during daily life. This SPA system was used to determine the independent and interactive roles of chronic and momentary work stress on HR reactivity among female managers. METHODS: A sample of 40 female managers reported their chronic work stress and wore the SPA system during a regular workday. They provided multiple reports of their momentary stress, both when triggered by increased HR and at random times. Relationships among chronic stress, momentary stress, and HR were analyzed with hierarchical linear modeling. RESULTS: Both chronic work stress (b = 0.08, standard error [SE] = 0.03, p = .003) and momentary work stress (b = 1.25, SE = 0.62, p = .052) independently predicted greater HR reactivity, adjusting for baseline HR, age, smoking, caffeine, alcohol use, and momentary physical activity levels. More importantly, chronic and momentary stress significantly interacted (b = 1.00, SE = 0.04, p = .036); high momentary stress predicted elevated HR only in the context of high chronic stress. CONCLUSIONS: Female managers who experience chronic work stress displayed elevated cardiac reactivity during momentary stress at work. The joint assessment of chronic stress and momentary stress and their relationship to physiological functioning during work clarifies the potential health risks associated with work stress. Moreover, this wireless SPA system captures the immediate subjective context of individuals when physiological arousal occurs, which may lead to tailored stress management programs in the workplace.

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma from Multi-sequence Magnetic Resonance Imaging based on Deep Fusion Representation Learning.

Recent studies have identified microvascular invasion (MVI) as the most vital independent biomarker associated with early tumor recurrence. With advancements in medical technology, several computational methods have been developed to predict preoperative MVI using diverse medical images. These existing methods rely on human experience, attribute selection or clinical trial testing, which is often time-consuming and labor-intensive. Leveraging the advantages of deep learning, this study presents a novel end-to-end algorithm for predicting MVI prior to surgery. We devised a series of data preprocessing strategies to fully extract multi-view features from the data while preserving peritumoral information. Notably, a new multi-branch deep fused feature algorithm based on ResNet (DFFResNet) is introduced, which combines Magnetic Resonance Images (MRI) from different sequences to enhance information complementarity and integration. We conducted prediction experiments on a dataset from the Radiology Department of the First Hospital of Lanzhou University, comprising 117 individuals and seven MRI sequences. The model was trained on 80% of the data using 10-fold cross-validation, and the remaining 20% were used for testing. This evaluation was processed in two cases: CROI, containing samples with a complete region of interest (ROI), and PROI, containing samples with a partial ROI region. The robustness results from repeated experiments at both image and patient levels demonstrate the superior performance and improved generalization of the proposed method compared to alternative models. Our approach yields highly competitive prediction results even when the ROI region outline is incomplete, offering a novel and effective multi-sequence fused strategy for predicting preoperative MVI.

Structural Optimization and Mechanical Simulation of MEMS Thin-Film Getter-Heater Unit.

A MEMS thin-film getter-heater unit has been previously proposed for the vacuum packaging of a Micro-Electro-Mechanical System (MEMS) device, where the floating structure (FS) design is found to be obviously more power-efficient than the solid structure (SS) one by heat transfer capacity simulation. However, the mechanical strength of the FS is weaker than the SS by nature. For high temperature usage, the unit structure must be optimized in order to avoid fracture of the cantilever beam or film delamination due to strong excessive stress caused by heating. In this paper, COMSOL is used to simulate the stress and deformation of the MEMS thin-film getter-heater unit with the cantilever structure. By comparing various cantilever structures, it is found that a model with a symmetrically-shaped heater and edge-center-located cantilever model (II-ECLC model) is the most suitable. In this model, even when the structure is heated to about 600 °C, the maximum stress of the cantilever beam is only 455 MPa, much lower than the tensile strength of silicon nitride (Si3N4, 12 GPa), and the maximum deformation displacement is about 200 µm. Meanwhile, the interfacial stress between the getter and the insulating layer is 44 MPa, sufficiently lower than the adhesion strength between silicon nitride film and titanium film (400-1850 MPa). It is further found that both the stress of the cantilever structure and the interfacial stress between the getter and the insulating layer beneath increase linearly with temperature; and the deformation of the cantilever structure is proportional to its stress. This work gives guidance on the design of MEMS devices with cantilever structures and works in high temperature situations.

Process Optimization and Performance Evaluation of TSV Arrays for High Voltage Application.

In order to obtain high-quality through-silicon via (TSV) arrays for high voltage applications, we optimized the fabrication processes of the Si holes, evaluated the dielectric layers, carried out hole filling by Cu plating, and detected the final structure and electric properties of the TSVs. The Si through-hole array was fabricated in an 8-inch Si substrate as follows: First, a blind Si hole array was formed by the Si deep reactive etching (DRIE) technique using the Bosch process, but with the largest width of the top scallops reduced to 540 nm and the largest notch elimidiameternated by backside grinding, which also opens the bottom ends of the Si blind holes and forms 500-µm-deep Si through holes. Then, the sidewalls of the Si holes were further smoothed by a combination of thermal oxidation and wet etching of the thermal oxide. The insulating capability of the dielectric layers was evaluated prior to metal filling by using a test kit. The metal filling of the through holes was carried out by bottom-up Cu electroplating and followed by annealing at 300 °C for 1 h to release the electroplating stress and to prevent possible large metal thermal expansion in subsequent high-temperature processes. The TSV arrays with different hole diameters and spacing were detected: no visible defects or structure peeling was found by scanning electron microscopy (SEM) observations, and no detectable interdiffusion between Cu and the dielectric layers was detected by energy dispersive X-ray (EDX) analyses. Electric tests indicated that the leakage currents between two adjacent TSVs were as low as 6.80 × 10-10 A when a DC voltage was ramped up from 0 to 350 V, and 2.86 × 10-9 A after a DC voltage was kept at 100 V for 200 s.

Reading activities compensate for low education-related cognitive deficits.

BACKGROUND: The incidence of cognitive impairment is increasing with an aging population. Developing effective strategies is essential to prevent dementia. Higher education level is associated with better baseline cognitive performance, and reading activities can slow down cognitive decline. However, it is unclear whether education and reading activities are synergistic or independent contributors to cognitive performance. METHODS: This was a sub-study of an ongoing prospective community cohort of China National Clinical Research Center Alzheimer's Disease and Neurodegenerative Disorder Research (CANDOR). Demographic and clinical information, educational levels, and reading activities were collected. All participants finished neuropsychological testing batteries and brain MRIs. We analyzed cognitive performance and brain structures with education and reading activities. RESULTS: Four hundred fifty-nine subjectively cognitively normal participants were enrolled in the study. One hundred sixty-nine (36.82%) of them had regular reading activities. Participants in the reading group had better performance in all cognitive tests compared with those in the non-reading group, but no difference in brain MRI variables. Participants with higher education levels (more than 13 years) had better cognitive performance and higher hippocampal volumes. In low education groups (less than 12 years), more reading activities were associated with better cognitive test scores. CONCLUSIONS: Both education and reading activities are important and synergistic for baseline cognitive function. Higher education level is associated with larger hippocampal volumes. Education may stimulate the growth and development of the hippocampus. Reading activities help to maintain and improve cognitive function in people with low levels of education. TRIAL REGISTRATION: NCT04320368.

Changes of sodium iodide symporter regulated by IGF-I and TGF-ß1 in mammary gland cells from lactating mice at different iodine levels.

The sodium/iodide symporter (SLC5A5, also known as NIS) is a transmembrane glycoprotein. Physiologically, iodide transportation in the mammary gland occurs during late pregnancy and lactation. To identify factors that may regulate this process at different iodine levels, we have studied the expression of NIS gene and protein in cultured mammary gland explants from lactating mice by real-time quantitative PCR and In-Cell Western methods. Mammary gland cells were grown in media with different levels of iodine for 24 h. The iodine treatment groups consist of low iodine group I (LI-I, 0 µg/l), low iodine group II (LI-II, 5 µg/l), control group (C, 50 µg/l), high iodine group I (HI-I, 3,000 µg/l), and high iodine group II (HI-II, 10,000 µg/l). The cells were then incubated with or without insulin-like growth factor I (IGF-I) or transforming growth factor ß1 (TGF-ß1) for another 24 h. We found that iodine inhibited NIS mRNA and protein expression in a dose-dependent manner. IGF-I and TGF-ß1 further decreased NIS mRNA and protein expression that iodine inhibited at different iodine levels. In summary, we have shown that iodine downregulated NIS expression in cultured mammary gland explants from the lactating mouse. IGF-I and TGF-ß1 inhibited NIS mRNA and protein expression in the mammary gland under different iodine levels.