Fabrication and Imaging Monatomic Ni Kagome Lattice on Superconducting Pb(111).

Artificial fabrication of a monolayer Kagome material can offer a promising opportunity to explore exceptional quantum states and phenomena in low dimensionality. Here, we have systematically studied a monatomic Ni Kagome lattice grown on Pb(111) by scanning tunneling microscopy/spectroscopy (STM/STS) and density functional theory (DFT). Sawtooth edge structures with distinct heights due to subsurface Ni atoms have been revealed, leading to asymmetric edge scattering of surface electrons on Pb(111). In addition, a local maximum at about -0.2 eV in tunneling spectra represents a manifestation of characteristic phase-destructive flat bands. Although charge transfer from underlying Pb(111) substrate results in a vanishing magnetic moment of Ni atoms, the proximity-induced superconducting gap is slightly enhanced on the Ni Kagome lattice. In light of single-atomic-layer Ni Kagome lattice on superconducting Pb(111) substrate, it could serve as an ideal platform to investigate the interplay between Kagome physics and superconductivity down to the two-dimensional limit.

Effects of a mobile oral care app on oral mucositis, pain, nutritional status, and quality of life in patients with head and neck cancer: A quasi-experimental study.

AIM: The aim of this work is to explore the effectiveness of a mobile app to support oral mucositis care to improve the nutritional status and reduce the occurrence of oral mucositis of patients with head and neck cancer undergoing concurrent chemoradiotherapy. BACKGROUND: Concurrent chemoradiotherapy is the optimal treatment for head and neck cancer, but oral mucositis and malnutrition are common complications. DESIGN: Quasi-experimental study using a pre-post design was used in this work. METHOD: Participants were recruited from a major regional hospital in Taiwan from July 2018 to July 2020. There were 32 participants in each group: the mobile app group (Intervention Group) or routine care (Control Group). The primary outcome measure was Patient-Generated Subjective Global Assessment (PG-SGA). We also collected data on grade of oral mucositis, painNnumeric Rating Scale (NRS), weight loss, haemoglobin (Hb), albumin and quality of life (QoL). RESULT: The PG-SGA score was significantly lower in the intervention than the control group at all three time points. Hb and albumin decreased less significantly in the intervention than the control group after 2 months. The oral mucositis grade was significantly less severe in the intervention than the control group at all three time points; for the NRS, at T2 and T3. CONCLUSION: Using the mobile app effectively improved nutritional status, alleviated the side effects, and improved the QoL of head and neck cancer patients with concurrent chemoradiotherapy.

Health-related quality of life associated with different cancer treatments in Chinese breast cancer survivors in Taiwan.

We assessed the quality of life (QoL) associated with patient's characteristics and different cancer treatments among Chinese breast cancer survivors in Taiwan. A cross-sectional survey was conducted in 2017 where 193 patients with hormone receptor-positive/human epidermal growth factor receptor-2-negative metastatic breast cancer were recruited. Three QoL questionnaires were administered: European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30), its breast cancer supplementary measure (QLQ-BR23) and EQ-5D-5L. Multiple linear regression was performed to assess the association between QoL and cancer treatments, with adjustment for patient's characteristics. The mean age of study participants was 55.52 years. Simple linear regression showed that cancer stage and receiving chemotherapy were significantly associated with QoL scores (p < 0.05). Significant adverse effects of chemotherapy on QoL were found among early-stage cancer women (i.e., I or II), including poor cognitive and sexual functioning, and a higher symptom burden (i.e., dyspnoea, constipation, systematic therapy side effects). Multiple linear regression also revealed that receiving chemotherapy was significantly associated with poor QoL (e.g., lower functional health and higher symptom burden measured by the QLQ-BR23), compared to none chemotherapy (p < 0.05). Receiving chemotherapy was associated with poor QoL, especially among early-stage breast cancer patients.

A Real-Time Construction Safety Monitoring System for Hazardous Gas Integrating Wireless Sensor Network and Building Information Modeling Technologies.

In recent years, many studies have focused on the application of advanced technology as a way to improve management of construction safety management. A Wireless Sensor Network (WSN), one of the key technologies in Internet of Things (IoT) development, enables objects and devices to sense and communicate environmental conditions; Building Information Modeling (BIM), a revolutionary technology in construction, integrates database and geometry into a digital model which provides a visualized way in all construction lifecycle management. This paper integrates BIM and WSN into a unique system which enables the construction site to visually monitor the safety status via a spatial, colored interface and remove any hazardous gas automatically. Many wireless sensor nodes were placed on an underground construction site and to collect hazardous gas level and environmental condition (temperature and humidity) data, and in any region where an abnormal status is detected, the BIM model will alert the region and an alarm and ventilator on site will start automatically for warning and removing the hazard. The proposed system can greatly enhance the efficiency in construction safety management and provide an important reference information in rescue tasks. Finally, a case study demonstrates the applicability of the proposed system and the practical benefits, limitations, conclusions, and suggestions are summarized for further applications.

ATP alters protein folding and function of Escherichia coli uridine phosphorylase.

Uridine phosphorylase is one of the critical enzymes in the pyrimidine salvage pathway. Cells regenerate uridine for nucleotide metabolism by incorporating uracil with ribose-1-phosphate with this enzyme. Recent studies indicate that Escherichia coli uridine phosphorylase is destabilized in the presence of ATP. However, the mechanism underlying the destabilization process and its influence on uridine phosphorylase function remain to be established. Here, we comprehensively investigated the effects of ATP on protein folding and function of Escherichia coli uridine phosphorylase. Our results demonstrate that ATP apparently decreases the stability of uridine phosphorylase in a concentration-dependent manner. Additionally, simply increasing the level of ATP led to a reduction of enzymatic activity to complete inhibition. Further studies showed that uridine phosphorylase accumulates as a partially unfolded state in the presence of ATP. Moreover, ATP specifically accelerated the unfolding rate of uridine phosphorylase with no observable effects on the refolding process. Our preliminary findings suggest that ATP can alter the protein folding and function of enzymes via apparent destabilization. This mechanism may be significant for proteins functioning under conditions of high levels of ATP, such as cancer cell environments.

Integrating a hive triangle pattern with subpixel analysis for noncontact measurement of structural dynamic response by using a novel image processing scheme.

This work presents a digital image processing approach with a unique hive triangle pattern by integrating subpixel analysis for noncontact measurement of structural dynamic response data. Feasibility of proposed approach is demonstrated based on numerical simulation of a photography experiment. According to those results, the measured time-history displacement of simulated image correlates well with the numerical solution. A small three-story frame is then mounted on a small shaker table, and a linear variation differential transformation (LVDT) is set on the second floor. Experimental results indicate that the relative error between data from LVDT and analyzed data from digital image correlation is below 0.007%, 0.0205 in terms of frequency and displacement, respectively. Additionally, the appropriate image block affects the estimation accuracy of the measurement system. Importantly, the proposed approach for evaluating pattern center and size is highly promising for use in assigning the adaptive block for a digital image correlation method.

Locating damage using integrated global-local approach with wireless sensing system and single-chip impedance measurement device.

This study developed an integrated global-local approach for locating damage on building structures. A damage detection approach with a novel embedded frequency response function damage index (NEFDI) was proposed and embedded in the Imote2.NET-based wireless structural health monitoring (SHM) system to locate global damage. Local damage is then identified using an electromechanical impedance- (EMI-) based damage detection method. The electromechanical impedance was measured using a single-chip impedance measurement device which has the advantages of small size, low cost, and portability. The feasibility of the proposed damage detection scheme was studied with reference to a numerical example of a six-storey shear plane frame structure and a small-scale experimental steel frame. Numerical and experimental analysis using the integrated global-local SHM approach reveals that, after NEFDI indicates the approximate location of a damaged area, the EMI-based damage detection approach can then identify the detailed damage location in the structure of the building.

Optimal filtering methods to structural damage estimation under ground excitation.

This paper considers the problem of shear building damage estimation subject to earthquake ground excitation using the Kalman filtering approach. The structural damage is assumed to take the form of reduced elemental stiffness. Two damage estimation algorithms are proposed: one is the multiple model approach via the optimal two-stage Kalman estimator (OTSKE), and the other is the robust two-stage Kalman filter (RTSKF), an unbiased minimum-variance filtering approach to determine the locations and extents of the damage stiffness. A numerical example of a six-storey shear plane frame structure subject to base excitation is used to illustrate the usefulness of the proposed results.

Efficient estimation of a Cox model when integrating the subgroup incidence rate information.

Incidence rates for diseases are widely used in the field of medical research because they lead to clear and simple physical and clinical interpretations. In this study, we propose an efficient estimation method that incorporates auxiliary subgroup information related to the incidence rate into the estimation of the Cox proportional hazard model. The results show that utilizing the incidence rate information improves the efficiency of the estimation of regression parameters based on the double empirical likelihood method compared to that for conventional models that do not incorporation such information. We show that estimators of regression parameters asymptotically follow a multivariate normal distribution with a variance-covariance matrix that can be consistently estimated. Simulation results indicate that the proposed estimators significantly increase efficiency. Finally, an example of the effects of type 2 diabetes on stroke is applied to demonstrate the proposed method.

Enhancing Smart Sensor Tag Sensing Performance-Based on Modified Plasma-Assisted Electrochemical Exfoliated Graphite Nanosheet.

Water that penetrates through cracks in concrete can corrode steel bars. There is a need for reliable and practical seepage sensing technology to prevent failure and determine the necessary maintenance for a concrete structure. Therefore, we propose a modified plasma-assisted electrochemical exfoliated graphite (MPGE) nanosheet smart tag. We conducted a comparative study of standard and modified RFID smart tags with sensor technology for seepage detection in concrete. The performance of both smart tags was tested and verified for seepage sensing in concrete, characterized by sensor code and frequency values. Seepage was simulated by cracking the concrete samples, immersing them for a designated time, and repeating the immersing phase with increasing durations. The test showed that the modified smart tag with 3% MPGE and an additional crosslinking agent provided the best sensitivity compared with the other nanosheet compositions. The presence of 3D segregated structures on the smart tag's sensing area successfully enhanced the sensitivity performance of seepage detection in concrete structures and is expected to benefit structural health monitoring as a novel non-destructive test method.

Ambient Cumulative PM2.5 Exposure and the Risk of Lung Cancer Incidence and Mortality: A Retrospective Cohort Study.

Smoking, sex, air pollution, lifestyle, and diet may act independently or in concert with each other to contribute to the different outcomes of lung cancer (LC). This study aims to explore their associations with the carcinogenesis of LC, which will be useful for formulating further preventive strategies. This retrospective, longitudinal follow-up cohort study was carried out by connecting to the MJ Health Database, Taiwan Cancer Registry database, and Taiwan cause of death database from 2000 to 2015. The studied subjects were persons attending the health check-ups, distributed throughout the main island of Taiwan. Cox proportional hazards regression models were used to investigate the risk factors associated with LC development and mortality after stratifying by smoking status, with a special emphasis on ambient two-year average PM2.5 exposure, using a satellite-based spatiotemporal model at a resolution of 1 km2, and on dietary habit including consumption of fruits and vegetables. After a median follow-up of 12.3 years, 736 people developed LC, and 401 people died of LC-related causes. For never smokers, the risk of developing LC (aHR: 1.32, 95%CI: 1.12-1.56) and dying from LC-related causes (aHR: 1.28, 95%CI: 1.01-1.63) rises significantly with every 10 µg/m3 increment of PM2.5 exposure, but not for ever smokers. Daily consumption of more than two servings of vegetables and fruits is associated with lowering LC risk in ever smokers (aHR: 0.68, 95%CI: 0.47-0.97), and preventing PM2.5 exposure is associated with lowering LC risk for never smokers.

In Vitro Evaluation of Aerosol Performance and Delivery Efficiency During Mechanical Ventilation Between Soft Mist Inhaler and Pressurized Metered-Dose Inhaler.

BACKGROUND: Soft mist inhalers (SMIs) generate aerosols with a smaller particle size than pressurized metered-dose inhalers (pMDIs). However, the whole-span particle size distribution (PSD) of SMIs and the optimal delivery method of SMIs during mechanical ventilation have not been fully investigated. This study aimed to measure the PSD of the SMI alone and the SMI coupled to an inhalation aid (eg, a spacer, a valved holding chamber), as well as the delivery efficiency of SMI in different actuation timings and circuit positions during mechanical ventilation. As a suitable comparison, the pMDI was chosen for the same measurement. METHODS: SMIs (2.5 µg/actuation of tiotropium) were compared with pMDIs (100 µg/actuation of salbutamol). A microorifice uniform deposit impactor was utilized for the particle sizing of drug aerosols generated by inhalers alone, inhalers with a spacer, and inhalers with a valved holding chamber. To optimize the delivery efficiency of both inhalers during mechanical ventilation, the operating parameters included the circuit positions and actuation timings in the ventilator circuit. Particle sizes and inhaled doses were measured with an optical particle sizer and filters used to collect and quantify the drug, respectively. RESULTS: The SMI generated a smaller mass medium aerodynamic diameter (MMAD) than that from the pMDI. The extrafine-particle fraction (EFPF, < 1 µm) of the SMI was significantly higher than that of the pMDI. With the use of either inhalation aid, the MMAD of both inhalers decreased, and both inhalers with inhalation aid showed significant increases in EFPF. During mechanical ventilation, the optimum way to deliver the SMI and pMDI was at 15 cm from the Y-piece and actuated at the end of expiration and the onset of inspiration, respectively. CONCLUSIONS: The SMI with an inhalation aid showed marginal improvement on the PSD. The inhaler type, actuation timing, and position within the circuit also played important roles in delivery efficiency during mechanical ventilation.

Exposure to air pollution and scarlet fever resurgence in China: a six-year surveillance study.

Scarlet fever has resurged in China starting in 2011, and the environment is one of the potential reasons. Nationwide data on 655,039 scarlet fever cases and six air pollutants were retrieved. Exposure risks were evaluated by multivariate distributed lag nonlinear models and a meta-regression model. We show that the average incidence in 2011-2018 was twice that in 2004-2010 [RR = 2.30 (4.40 vs. 1.91), 95% CI: 2.29-2.31; p < 0.001] and generally lower in the summer and winter holiday (p = 0.005). A low to moderate correlation was seen between scarlet fever and monthly NO2 (r = 0.21) and O3 (r = 0.11). A 10 µg/m3 increase of NO2 and O3 was significantly associated with scarlet fever, with a cumulative RR of 1.06 (95% CI: 1.02-1.10) and 1.04 (95% CI: 1.01-1.07), respectively, at a lag of 0 to 15 months. In conclusion, long-term exposure to ambient NO2 and O3 may be associated with an increased risk of scarlet fever incidence, but direct causality is not established.

High Serum Transforming Growth Factor-ß1 Levels Predict Outcome in Hepatocellular Carcinoma Patients Treated with Sorafenib.

BACKGROUND: The TGF-ß signaling pathway is crucial in the progression and metastasis of malignancies. We investigated whether the serum TGF-ß1 level was related to the outcomes of patients treated with sorafenib for advanced hepatocellular carcinoma (HCC). EXPERIMENTAL DESIGN: We selected patients who had received sorafenib-containing regimens as first-line therapy for advanced HCC between 2007 and 2012. Serum TGF-ß1 levels were measured and correlated with the treatment outcomes. The expression TGF-ß1 and the sensitivity to sorafenib were examined in HCC cell lines. RESULTS: Ninety-one patients were included; 62 (68%) were hepatitis B virus surface antigen (+), and 11 (12%) were anti-hepatitis C virus (+). High (≥ median) pretreatment serum TGF-ß1 levels (median 13.7 ng/mL; range, 3.0-41.8) were associated with high α-fetoprotein levels, but not with age, gender, or disease stage. Patients with high pretreatment serum TGF-ß1 levels exhibited significantly shorter progression-free survival (median, 2.5 vs. 4.3 months; P = 0.022) and overall survival (median 5.6 vs. 11.6 months; P = 0.029) than did patients with low serum TGF-ß1 levels. Compared with pretreatment levels, the serum TGF-ß1 levels were significantly increased at disease progression (n = 29, P = 0.010). In preclinical models of HCC, higher TGF-ß1 expression levels were associated with poorer sensitivity to sorafenib. CONCLUSIONS: High pretreatment serum TGF-ß1 levels were associated with poor prognoses, and increased serum TGF-ß1 levels were associated with the disease progression of advanced HCC patients. TGF-ß pathway may be explored as a therapeutic target for advanced HCC.