A facile method for preparing the CeMnO3 catalyst with high activity and stability of toluene oxidation: The critical role of small crystal size and Mn3+-Ov-Ce4+ sites.

Volatile organic compounds (VOCs) cause severe environmental pollution and are potentially toxic to humans who have no defense against exposure. Catalytic oxidation of these compounds has thus become an interesting research topic. In this study, microcrystalline CeMnO3 catalysts were prepared by a precipitant-concentration-induced strategy and evaluated for the catalytic oxidation of toluene/benzene. The effect of crystal size on catalytic performance was confirmed by XRD, TEM, N2 adsorption-desorption, XPS, Raman, H2-TPR, and TPSR. The CeMnO3 catalyst with more Mn3+-Ov-Ce4+ active sites exhibited enhanced VOCs catalytic oxidation performance, lowest active energy, and highest turnover frequency, which was attributed to its larger surface area, lower crystal size, higher low-temperature reducibility, and presence of more oxygen defects. In-situ FTIR results suggested more oxygen vacancies can profoundly promote the conversion of benzoate to maleate species, the rate-determining step of toluene oxidation. The work provides a convenient and efficient strategy to prepare single-metal or multi-metal oxide catalysts with smaller crystal sizes for VOC oxidation or other oxidation reactions.

A scenario-based web app to facilitate patient education in lung tumor patients undergoing video-assisted thoracoscopic surgery: Development and usability testing.

Background: Patient education (PE) is essential for improving patients' knowledge, anxiety, and satisfaction, and supporting their postoperative recovery. However, the advantages of video-assisted thoracoscopic surgery (VATS)-smaller incisions and faster recovery-can result in shorter hospital stays, making PE more challenging to implement effectively. Multimedia PE can potentially enhance PE, but its effectiveness for patients undergoing VATS is unclear. Objective: This study developed a scenario-based PE web app for lung tumor patients undergoing VATS (SPE-VATS) to facilitate the PE process and evaluated its usability through a clinical trial. Methods: The SPE-VATS provided the experimental group (EG: 32 participants) with interactive scenario, query guidance, diagnostic analysis, experience sharing, and active reminder, while the control group (CG: 32 participants) used pamphlets and videos. The usability of SPE-VATS in terms of postoperative anxiety reduction and patient satisfaction with the app was evaluated using self-reported questionnaires based on the state-trait anxiety inventory, technology acceptance model, system usability scale, and task load index. Results: There was no statistically significant difference in postoperative anxiety reduction between the EG and CG, possibly because 90% of the participants underwent a low-risk surgical type, and VATS is known to be advantageous in alleviating surgical anxiety. However, females and higher educated EG participants showed a non-significant but favorable reduction than their CG counterparts. Moreover, the EG was highly satisfied with the app (rated 4.2 to 4.4 out of 5.0), with no significant gender and education level difference. They particularly valued the interactive scenario, experience sharing, and diagnostic analysis features of SPE-VATS. Conclusions: The SPE-VATS demonstrated its usability and high patient satisfaction, particularly for female and higher educated patients. Low-risk patient predominance and VATS's advantages may explain non-significant postoperative anxiety reduction, warranting further studies on high-risk patients to evaluate the impact of SPE-VATS on clinical practice.

Machine learning approach to determine the decision rules in ergonomic assessment of working posture in sewing machine operators.

INTRODUCTION: There are some inherent problems with the use of observation methods in the ergonomic assessment of working posture, namely the stability and precision of the measurements. This study aims to use a machine learning (ML) approach to avoid the subjectivity bias of observational methods in ergonomic assessments and further identify risk patterns for work-related musculoskeletal disorders (WMSDs) among sewing machine operators. METHODS: We proposed a decision tree analysis scheme for ergonomic assessment in working postures (DTAS-EAWP). First, DTAS-EAWP used computer vision-based technology to detect the body movement angles from the on-site working videos to generate a dataset of risk scores through the criteria of Rapid Entire Body Assessment (REBA) for sewing machine operators. Second, data mining techniques (WEKA) using the C4.5 algorithm were used to construct a representative decision tree (RDT) with paths of various risk levels, and attribute importance analysis was performed to determine the critical body segments for WMSDs. RESULTS: DTAS-EAWP was able to recognize 11,211 samples of continuous working postures in sewing machine operation and calculate the corresponding final REBA scores. A total of 13 decision rules were constructed in the RDT, with over 95% prediction accuracy and 83% path coverage, to depict the possible risk tendency in the working postures. Through RDT and attribute importance analysis, it was identified that the lower arm and the upper arms exhibited as critical segments that significantly increased the risk levels for WMSDs. CONCLUSIONS: This study demonstrates that ML approach with computer vision-based estimation and DT analysis are feasible for comprehensively exploring the decision rules in ergonomic assessment of working postures for risk prediction of WMSDs in sewing machine operators. PRACTICAL APPLICATIONS: This DTAS-EAWP can be applied in manufacturing industries to automatically analyze working postures and identify risk patterns of WMSDs, leading to the development of effectively preventive interventions.

A mobile-based airway clearance care system using deep learning-based vision technology to support personalized home-based pulmonary rehabilitation for COAD patients: Development and usability testing.

Background: Excessive mucus secretion is a serious issue for patients with chronic obstructive airway disease (COAD), which can be effectively managed through postural drainage and percussion (PD + P) during pulmonary rehabilitation (PR). Home-based (H)-PR can be as effective as center-based PR but lacks professional supervision and timely feedback, leading to low motivation and adherence. Telehealth home-based pulmonary (TH-PR) has emerged to assist H-PR, but video conferencing and telephone calls remain the main approaches for COAD patients. Therefore, research on effectively assisting patients in performing PD + P during TH-PR is limited. Objective: This study developed a mobile-based airway clearance care for chronic obstructive airway disease (COAD-MoAcCare) system to support personalized TH-PR for COAD patients and evaluated its usability through expert validation. Methods: The COAD-MoAcCare system uses a mobile device through deep learning-based vision technology to monitor, guide, and evaluate COAD patients' PD + P operations in real time during TH-PR programs. Medical personnel can manage and monitor their personalized PD + P and operational statuses through the system to improve TH-PR performance. Respiratory therapists from different hospitals evaluated the system usability using system questionnaires based on the technology acceptance model, system usability scale (SUS), and task load index (NASA-TLX). Results: Eleven participant therapists were highly satisfied with the COAD-MoAcCare system, rating it between 4.1 and 4.6 out of 5.0 on all scales. The system demonstrated good usability (SUS score of 74.1 out of 100) and a lower task load (NASA-TLX score of 30.0 out of 100). The overall accuracy of PD + P operations reached a high level of 97.5% by comparing evaluation results of the system by experts. Conclusions: The COAD-MoAcCare system is the first mobile-based method to assist COAD patients in conducting PD + P in TH-PR. It was proven to be usable by respiratory therapists, so it is expected to benefit medical personnel and COAD patients. It will be further evaluated through clinical trials.

Application of mobile-based web app to enhance simple suturing skills of nurse practitioners.

BACKGROUND: Suturing is a crucial clinical skill for nurse practitioners (NPs), but the effectiveness of traditional training methods (e.g., physical suture kits combined with video content) is low. OBJECTIVE: This study compared the effectiveness and usability of a mobile-based web app (MoWa) developed for NPs to learn simple suturing skills with those of traditional instructional video-based training. METHODS: The MoWa system utilizes mobile devices to simulate hands-on suturing and provides learning guidance and feedback to support self-learning with a physical suturing kit. Fifty-four suturing novices (NPs) were recruited as participants, divided into an experimental group (EG: 28 participants) and a control group (CG: 26 participants), and instructed to self-learn for 3 weeks. Learning effectiveness and system usability were evaluated through a pretest and posttest. RESULTS: The EG exhibited significant improvements in learning outcomes, self-confidence, self-efficacy, and learning anxiety and expressed satisfaction with the MoWa system. Furthermore, the EG also considerably enhanced learning outcomes, self-efficacy, and learning anxiety compared to the CG, with no significant difference in self-confidence. CONCLUSION: The MoWa system combined with deliberate practice is an effective strategy for supporting suturing skills training.

Development of a mobile tele-education system to assist remote otolaryngology learning during COVID-19 pandemic.

Background: Developing clinical thinking competence (CTC) is crucial for physicians, but effective methods for cultivation and evaluation are a significant challenge. Classroom teaching and paper-and-pencil tests are insufficient, and clinical field learning is difficult to implement, especially during the COVID-19 pandemic. Simulation learning is a useful alternative, but existing methods, e.g., OSCE, 3D AR/VR, and SimMan, have limitations in terms of time, space, and cost. Objective: This study aims to present the design and development of an Otolaryngology Mobile Tele-education System (OMTS) to facilitate CTC learning, and to evaluate the system's usability with senior otolaryngology experts. Methods: The OMTS system utilizes the convenience of mobile learning and the touch function of mobile devices to assist users (medical students or post-graduate physicians) in learning CTC remotely. Clinical knowledge and system functions in the OMTS system are defined by senior experts based on required CTC learning cases. Through simulated clinical case scenarios, users can engage in interactive clinical inquiry, practice required physical and laboratory examinations, make treatment decisions based on simulated responses, and understand and correct learning problems through a diagnostic report for effective learning. Usability testing of the OMTS system was evaluated by three senior otolaryngology experts using measurements of content validity, system usability, and mental workload during their available time and location. Results: Statistical results of experts' evaluation showed that the OMTS system has good content validity, marginal-to-acceptable system usability, and moderate mental workload. Experts agreed that the system was efficient, professional, and usable for learning, although the practicality of the clinical inquiry and hands-on practice functions could be improved further. Conclusions: Based on the OMTS system, users can efficiently hands-on practice and learn clinical cases in otolaryngology, and understand and correct their problems according to the diagnostic report. Therefore, the OMTS system can be expected to facilitate CTC learning according to experts' evaluation.

As(III) Exposure Induces a Zinc Scarcity Response and Restricts Iron Uptake in High-Level Arsenic-Resistant Paenibacillus taichungensis Strain NC1.

The Gram-positive bacterium Paenibacillus taichungensis NC1 was isolated from the Zijin gold-copper mine and shown to display high resistance to arsenic (MICs of 10 mM for arsenite in minimal medium). Genome sequencing indicated the presence of a number of potential arsenic resistance determinants in NC1. Global transcriptomic analysis under arsenic stress showed that NC1 not only directly upregulated genes in an arsenic resistance operon but also responded to arsenic toxicity by increasing the expression of genes encoding antioxidant functions, such as cat, perR, and gpx. In addition, two highly expressed genes, marR and arsV, encoding a putative flavin-dependent monooxygenase and located adjacent to the ars resistance operon, were highly induced by As(III) exposure and conferred resistance to arsenic and antimony compounds. Interestingly, the zinc scarcity response was induced under exposure to high concentrations of arsenite, and genes responsible for iron uptake were downregulated, possibly to cope with oxidative stress associated with As toxicity. IMPORTANCE Microbes have the ability to adapt and respond to a variety of conditions. To better understand these processes, we isolated the arsenic-resistant Gram-positive bacterium Paenibacillus taichungensis NC1 from a gold-copper mine. The transcriptome responding to arsenite exposure showed induction of not only genes encoding arsenic resistance determinants but also genes involved in the zinc scarcity response. In addition, many genes encoding functions involved in iron uptake were downregulated. These results help to understand how bacteria integrate specific responses to arsenite exposure with broader physiological responses.

Co-selection of antibiotic resistance genes, and mobile genetic elements in the presence of heavy metals in poultry farm environments.

Environmental selection of antibiotic resistance genes (ARGs) is considered to be caused by antibiotic or metal residues, frequently used in livestock. In this study we examined three commercial poultry farms to correlate the co-occurrence patterns of antibiotic and metal residues to the presence of ARGs. We quantified 283 ARGs, 12 mobile genetic elements (MGEs), 49 targeted antibiotics, 7 heavy metals and sequenced 16S rRNA genes. The abundance and type of ARG were significantly enriched in manure while soil harbored the most diverse bacterial community. Procrustes analysis displayed significant correlations between ARGs/MGEs and the microbiome. Cadmium (Cd), arsenic (As), zinc (Zn), copper (Cu) and lead (Pb) were responsible for a majority of positive correlations to ARGs when compared to antibiotics. Integrons and transposons co-occurred with ARGs corresponding to 9 classes of antibiotics, especially Class1 integrase intI-1LC. Redundancy analysis (RDA) and Variance partitioning analysis (VPA) showed that antibiotics, metals, MGEs and bacteria explain solely 0.7%, 5.7%, 12.4%, and 21.9% of variances of ARGs in the microbial community, respectively. These results suggested that bacterial composition and horizontal gene transfer were the major factors shaping the composition of ARGs; Metals had a bigger effect on ARG profile than detected antibiotics in this study.

Comparative Insights Into the Complete Genome Sequence of Highly Metal Resistant Cupriavidus metallidurans Strain BS1 Isolated From a Gold-Copper Mine.

The highly heavy metal resistant strain Cupriavidus metallidurans BS1 was isolated from the Zijin gold-copper mine in China. This was of particular interest since the extensively studied, closely related strain, C. metallidurans CH34 was shown to not be only highly heavy metal resistant but also able to reduce metal complexes and biomineralizing them into metallic nanoparticles including gold nanoparticles. After isolation, C. metallidurans BS1 was characterized and complete genome sequenced using PacBio and compared to CH34. Many heavy metal resistance determinants were identified and shown to have wide-ranging similarities to those of CH34. However, both BS1 and CH34 displayed extensive genome plasticity, probably responsible for significant differences between those strains. BS1 was shown to contain three prophages, not present in CH34, that appear intact and might be responsible for shifting major heavy metal resistance determinants from plasmid to chromid (CHR2) in C. metallidurans BS1. Surprisingly, the single plasmid - pBS1 (364.4 kbp) of BS1 contains only a single heavy metal resistance determinant, the czc determinant representing RND-type efflux system conferring resistance to cobalt, zinc and cadmium, shown here to be highly similar to that determinant located on pMOL30 in C. metallidurans CH34. However, in BS1 another homologous czc determinant was identified on the chromid, most similar to the czc determinant from pMOL30 in CH34. Other heavy metal resistance determinants such as cnr and chr determinants, located on megaplasmid pMOL28 in CH34, were shown to be adjacent to the czc determinant on chromid (CHR2) in BS1. Additionally, other heavy metal resistance determinants such as pbr, cop, sil, and ars were located on the chromid (CHR2) and not on pBS1 in BS1. A diverse range of genomic rearrangements occurred in this strain, isolated from a habitat of constant exposure to high concentrations of copper, gold and other heavy metals. In contrast, the megaplasmid in BS1 contains mostly genes encoding unknown functions, thus might be more of an evolutionary playground where useful genes could be acquired by horizontal gene transfer and possibly reshuffled to help C. metallidurans BS1 withstand the intense pressure of extreme concentrations of heavy metals in its environment.

Toxicity of different forms of antimony to rice plant: Effects on root exudates, cell wall components, endogenous hormones and antioxidant system.

Antimony (Sb) is a toxic element for both human and plants, but the toxic responses of plants to different forms of antimony and the associated mechanisms are unknown. This study was carried out to investigate the effects of different forms of Sb [Sb(III) and Sb(V)] on the root exudates, root endogenous hormones, root cell wall components and antioxidant systems in rice plant via three hydroponic experiments. The results showed that Sb(III) displayed a higher toxicity than Sb(V) to the plant which accumulated much more Sb in its tissues under Sb(III) exposure than that under Sb(V) exposure. Under Sb(III) exposure, most of absorbed Sb was found to be Sb(III) in the shoots and roots; however when plants were exposed to Sb(V), most of absorbed Sb in this rice plant was Sb(V). Only two kinds of endogenous hormones were detected as abscisic acid (ABA) and salicylic acid (SA). The addition of Sb(III) significantly increased the content of ABA but Sb(V) did not, probably suggesting the higher toxicity of Sb(III) than Sb(V) might be due to the stimulation of ABA content. The addition of Sb(III) significantly increased the concentration of oxalic acid but decreased the concentrations of formic, acetic and maleic acids. Sb(V) also enhanced the oxalic acid concentration at 20 mg L-1 Sb(V) treatment level but reduced the concentrations of formic and acetic acids. Different forms of Sb dose-dependently increased the content of pectin, but significantly enhanced the content of lignin in cell wall. Different forms of Sb induced oxidative stress, but rice plant triggered the activities of superoxide dismutase (SOD) and ascorbate peroxidase (APX) to counteract the oxidative stress.

Self-Sacrificed Interface-Based on the Flexible Composite Electrolyte for High-Performance All-Solid-State Lithium Batteries.

Ceramic electrolyte guarantees the commercial application of all-solid-state lithium batteries (ASSLBs) for its high ionic conductivity and wide voltage window. However, the large interfacial impedance between the ceramic and polymeric electrolyte is still tough issue for all-solid-state batteries. Here, a "self-sacrifice" interface established by a flexible Li1.5Al0.5Ge1.5(PO4)3 (LAGP)/30% poly(propylene carbonate) (PPC) solid composite electrolyte causes a performance enhancement of the LiFePO4/Li battery with a discharge specific capacity of 151 mA h g-1 at 0.05 C and a retention of 92.3% for 100 cycles at 55 °C without any liquid electrolyte, where the PPC-derived layer swells the Li metal and infiltrates to develop the amorphous state to reduce both interfacial and bulk resistance; while the LAGP with good mechanical strength and the LiF layer provides stability and resists the growth of Li dendrites, which guaranteed the long cycle life and security of batteries. This study demonstrates the complementary advantages of ceramic and polymer, which implies a feasible way to achieve a well-wetted, soft, and stable contact of the electrolyte and electrode to overcome the interface issues in ASSLBs.

Propelling Polysulfide Conversion by Defect-Rich MoS2 Nanosheets for High-Performance Lithium-Sulfur Batteries.

Lithium-sulfur (Li-S) batteries have tremendous energy density and are cost effective and environmentally compatible, thereby deemed one of the most promising secondary energy storage systems. However, Li-S batteries present sluggish polysulfide intermediate redox kinetics due to the unavoidable "shuttle effect", thus hindering their industrialization and resulting in low sulfur utilization, rapid capacity fading, poor Coulombic efficiency, and anode corrosion. Herein, the present study updates a one-step hydrothermal method to synthesize a highly efficient sulfur host integrating three-dimensional porous graphene aerogel (GA) with uniformly dispersed defect-rich MoS2 nanosheets (200-300 nm) (GA-DR-MoS2). The electrochemical studies reveal that these MoS2 nanosheets with abundant defects could provide strong chemical adsorption for polysulfides, as well as act as an electrocatalyst to markedly accelerate polysulfide redox reactions during the charge/discharge process. The resultant GA-DR-MoS2 composites (70 wt % of sulfur loading) present a high initial discharge capacity of 1429 mAh g-1 at 0.2C, an outstanding cycling stability with a low capacity decay rate of 0.085% per cycle over 500 cycles at 0.2C, and a superior rate performance with an improved capacity from 290 to 581 mAh g-1 at 5C. The presented strategy is effective in achieving high-energy-density Li-S batteries from the point of electrocatalysis and facilitating their practical applications.

Draft Genome Sequence of Pseudarthrobacter sp. Strain AG30, Isolated from a Gold and Copper Mine in China.

Here, we report the features and draft genome sequence of Pseudarthrobacter sp. strain AG30, isolated from the Zijin gold and copper mine in China. The genome size of Pseudarthrobacter sp. AG30 was 4,618,494 bp, with a G+C content of 66.2%. Interesting genes and operons putatively conferring resistance to copper and arsenic were identified.

Revealing the role of NH4VO3 treatment in Ni-rich cathode materials with improved electrochemical performance for rechargeable lithium-ion batteries.

Although Ni-rich layered oxides are considered a candidate of next-generation cathode materials, their inherent properties, such as surface lithium residues and structural destruction, cause detrimental electrochemical performance, especially at elevated temperatures. Here, a facile ball-milling method is proposed to remove the lithium residues and enhance the electrochemical performance of LiNi0.6Co0.2Mn0.2O2. After NH4VO3 treatment, a lithium ion-conductive Li3VO4 coating layer is found on the LiNi0.6Co0.2Mn0.2O2 surface at heat-treatment temperatures of 300 and 450 °C, with a small part of vanadium ions diffusing into the surface lattice. When the temperature surpasses 600 °C, almost all vanadium ions dope into the bulk structure. The complex relationships between the post-sintering temperature and surface structure and their impact on electrochemical properties are discussed in detail. Electrochemical tests show that 0.5 wt% NH4VO3 treated LiNi0.6Co0.2Mn0.2O2 at 450 °C exhibits much improved cycling stability (96.1% cycling retention at 0.5C after 100 cycles and 97.2% after 50 cycles at 55 °C), rate capability (117.0 mA h g-1 at 5C), and storage property (4683 ppm lithium residue amount after storing in air for 7 days). Such superior performance is ascribed to the Li3VO4 coating layer that inhibits the electrolyte decomposition and helps create a stable and thinner cathode-electrolyte interface, resulting in decreased interfacial resistance. In addition, this coating layer suppresses internal micro-stress and phase transformation from a layered to spinel and rock-salt structure, which increases the structural integrity of LiNi0.6Co0.2Mn0.2O2 during repeated charge-discharge cycling.

Three-Dimensional Porous Si and SiO2 with In Situ Decorated Carbon Nanotubes As Anode Materials for Li-ion Batteries.

A high-capacity Si anode is always accompanied by very large volume expansion and structural collapse during the lithium-ion insertion/extraction process. To stabilize the structure of the Si anode, magnesium vapor thermal reduction has been used to synthesize porous Si and SiO2 (pSS) particles, followed by in situ growth of carbon nanotubes (CNTs) in pSS pores through a chemical vapor deposition (CVD) process. Field-emission scanning electron microscopy and high-resolution transmission electron microscopy have shown that the final product (pSS/CNTs) possesses adequate void space intertwined by uniformly distributed CNTs and inactive silica in particle form. pSS/CNTs with such an elaborate structural design deliver improved electrochemical performance, with better coulombic efficiency (70% at the first cycle), cycling capability (1200 mAh g-1 at 0.5 A g-1 after 200 cycles), and rate capability (1984, 1654, 1385, 1072, and 800 mAh g-1 at current densities of 0.1, 0.2, 0.5, 1, and 2 A g-1, respectively), compared to pSS and porous Si/CNTs. These merits of pSS/CNTs are attributed to the capability of void space to absorb the volume changes and that of the silica to confine the excessive lithiation expansion of the Si anode. In addition, CNTs have interwound the particles, leading to significant enhancement of electronic conductivity before and after Si-anode pulverization. This simple and scalable strategy makes it easy to expand the application to manufacturing other alloy anode materials.