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Abstract Background Traditional Chinese Medicine (TCM) is essential for promoting health worldwide. Despite governmental support, TCM faces critical challenges, including workforce shortages and high attrition rates, with many clinical TCM graduates pursuing non-clinical careers. This study aims to explore the employment preferences of these graduates and to propose strategies for retaining TCM professionals, optimizing the input–output ratio of TCM education, and supporting the sustainable development of the TCM industry. Methods A stratified sampling method was used to select clinical TCM major graduates from 16 universities of Chinese medicine. A Discrete Choice Experiment (DCE) was conducted to investigate the factors influencing the attrition of clinical TCM professionals, including monthly income, work location, housing security, workload, work environment, and promotion opportunities. A mixed logit model was applied to analyze the DCE data. Results A total of 273 clinical TCM major graduates were included in the primary DCE analysis. The monthly income was more important than other attributes (RAI = 48.03%). Among non-economic factors, participants expressed the strongest willingness to decrease workload, being willing to forgo 3,370.312 yuan (approximately $500.3) in monthly income to reduce heavy workloads to moderate levels. Other significant factors included work environment (RAI = 13.64%), housing security (RAI = 9.47%), and promotion opportunities (RAI = 5.33%), with work location being the least important (RAI = 3.3%). Subgroup analysis showed that rural graduates were more willing than urban graduates to forgo monthly income for promotion opportunities. Graduates from the central region of China valued work environment and housing security more than those from the eastern and western regions. Postgraduates were more likely than undergraduates to give up monthly income for housing security. Conclusion In addition to economic factors, non-economic factors are also critical considerations for clinical TCM major graduates in their employment decisions. A combination of measures, including offering lower workloads, better work environments, housing security, and promotion opportunities, should be adopted to stabilize the employment environment for clinical TCM graduates.

Abstract Background Primary-level Traditional Chinese Medicine (TCM) healthcare institutions are currently facing a severe shortage of TCM professionals, highlighting the urgent need to explore the job preferences of TCM clinical graduates. This study aimed to investigate the stated job preferences of TCM clinical graduates when seeking employment. Methods A discrete choice experiment (DCE) was conducted to assess the employment preferences of TCM clinical graduates from 16 TCM universities across China. The job attributes examined included the monthly income, work location, hospital tier, job stability (position tenure), work intensity, opportunities for mentorship under renowned practitioners, and career advancement prospects. A mixed logit model was employed to obtain the main effects model. Based on the results of the main effects model, analyses of relative importance and willingness to pay (WTP) were conducted. Additionally, heterogeneity analysis and scenario simulation analysis were performed. Results A total of 2,402 valid questionnaires were included in the primary DCE analysis. Monthly income was the most important factor (RIS = 52.58%). Among non-economic factors, participants expressed the strongest willingness to reduce workload, being willing to forgo 2,367.5 yuan in monthly income to transition from high to low work intensity. Other significant factors included formal establishment (RIS = 11.32%), mentorship opportunities (RIS = 7.44%), and hospital level (RIS = 4.63%), with job location being the least important (RIS = 3.44%). Subgroup analysis showed that male graduates were more willing than female graduates to forgo formal establishment for mentorship opportunities. Graduates from the eastern region valued lower work intensity and formal establishment more than those from the central and western regions. Postgraduates were more likely than undergraduates to give up monthly income for jobs in higher-tier cities. Scenario analysis revealed that graduates had a 43.0% probability of choosing third-tier cities under baseline conditions. Comprehensive improvements (e.g., higher income and formal establishment) increased this probability to 84.8%, rising to 87.3% with better promotion opportunities. Conclusion This study demonstrates that the monthly income has the most significant impact on employment preferences. The work intensity and mentorship opportunities also play crucial roles, with the influence of the work intensity surpassing those of other non-economic factors. In contrast, the hospital tier and work location have a relatively smaller impact on graduates’ preferences. In addition, a combination of certain non-economic measures can enhance students’ willingness to choose hospitals in third-tier cities. Based on these findings, it is recommended that recruitment and career development strategies focus on the salary, work intensity, and mentorship opportunities, while providing stable job positions and favorable work environments, so as to meet the primary needs of TCM clinical graduates. A novel contribution of this study is its identification of the significant influence of mentorship opportunities, which are one of the distinctive features of TCM, on the employment choices of TCM graduates, filling a gap in the existing research. Future studies should integrate online questionnaires with offline interviews to gain deeper insights into the decision-making processes of graduates in real-world work environments.

Abstract Objective The accessibility issue of orphan drugs in China is prominent. Based on real-world data from a tier-one city in Northeast China, this study aims to analyze the current usage and affordability of orphan drugs for rare diseases. Methods The data was sourced from the health insurance claims data of a certain city from 2018 to 2021, including a total of 16 orphan drugs. The utilization of orphan drugs is assessed using four indicators: frequency of medical insurance claims, medication cost, defined daily doses (DDDs), and defined daily drug cost (DDDc). Affordability is measured using the concept of catastrophic health expenditure (CHE). Results Between January 2018 and December 2021, there were a total of 2,851 medical insurance claims in the city, with a total medication costs of $3.08 million. Overall, during the study, there was a year-on-year increase in the utilization frequency of individual rare disease drugs in the city, with DDDs rising from 140.22 in 2018 to 3983.63 in 2021. Additionally, the annual medication costs of individual drugs showed a consistent upward trend, increasing from $10,953.53 in 2018 to $120,491.36 in 2021. However, the DDDc of individual drugs decreased from $398.12 in 2018 to $96.65 in 2021.The number of sales and the amount of sales for orphan drugs in community pharmacies have significantly increased. Prior to medical insurance coverage, out of the 16 orphan drugs, 9 drugs had annual treatment costs exceeding CHE for urban residents, and 15 drugs had annual treatment costs exceeding CHE for rural residents. After medical insurance coverage, there were no drugs with out-of-pocket costs exceeding CHE for urban residents, while 8 drugs had out-of-pocket costs exceeding CHE for rural residents. Furthermore, both before and after medical insurance coverage, the four treatment drugs for idiopathic pulmonary arterial hypertension were more affordable compared to the four treatment drugs for multiple sclerosis. Conclusion The usage frequency of orphan drugs in a certain city increased gradually, but the disease burden remained heavy. More policy support should be provided to the priority rare disease populations, and the rare disease medical security and diagnosis and treatment systems should be improved.

We have generated an iPSCs line (IPS-AML2-C3, SYSUSHi002-A) from AML cells of a 71-year-old male Acute Myeloid Leukaemia patient with TP53 gene mutation (TP53: c.824G > A, p.Cys275Tyr) using episomal plasmids encoding the factors OCT4, SOX2, KLF4, L-MYC and human miR-302. The IPS-AML2-C3 (SYSUSHi002-A) iPSC line displayed typical embryonic stem cell-like morphology, carried the TP53 gene mutation, expressed several pluripotent stem cell makers, retained normal karyotype (46, XY), and was capable of forming three germ layer cells in vitro.

Abstract Traditional Chinese medicine (TCM) is an experienced‐based discipline and plays an important role in the current medical system. Digitalizing key features is the best way to con‐duct an in‐depth analysis of TCM. However, due to its complex generation mechanism, the crucial pulse‐taking procedure is hard to be digitalized and analyzed. This article fabricated a flexible piezoelectric sensor to gather data for the pulse‐taking procedure. The sensitivity of the proposed flexible sensor reached 0.34 V/kPa, so we adopted peripheral circuits to make its output signals stay in a reasonable range (± 0.5 V) for convenient data collection. We used the sensor to recognize whether a woman is pregnant since it has solid golden standards. The pulse signal was fused via mapping the signal spectrogram into a 3‐dimension tensor. The fused matrix was then processed by GoogleNet and reached a 90.48% correction rate. This result shows that the pulse condition has statistical differences, which solidified the objectivity of pulse diagnosis and escalated the TCM's digitalization level.

The rapid advancement of wearable devices and flexible electronics has spurred an increasing need for high-performance, thin, lightweight, and flexible energy storage devices. In particular, thin and lightweight zinc-ion batteries require battery materials that possess exceptional flexibility and mechanical stability to accommodate complex deformations often encountered in flexible device applications. Moreover, the development of compact and thin battery structures is essential to minimize the overall size and weight while maintaining excellent electrochemical performance, including high energy density, long cycle life, and stable charge/discharge characteristics, to ensure their versatility across various applications. Researchers have made significant strides in enhancing the battery’s performance by optimizing crucial components such as electrode materials, electrolytes, separators, and battery structure. This review provides a comprehensive analysis of the design principles essential for achieving thinness in zinc-ion batteries, along with a summary of the preparation methods and potential applications of these batteries. Moreover, it delves into the challenges associated with achieving thinness in zinc-ion batteries and proposes effective countermeasures to address these hurdles. This review concludes by offering insights into future developments in this field, underscoring the continual advancements and innovations that can be expected.

Abstract Transition metal fluorides (TMFs) cathode materials have shown extraordinary promises for electrochemical energy storage, but the understanding of their electrochemical reaction mechanisms is still a matter of debate due to the complicated and continuous changing in the battery internal environment. Here, we design a novel iron fluoride (FeF2) aggregate assembled with cylindrical nanoparticles as cathode material to build FeF2 lithium‐ion batteries (LIBs) and employ advanced in situ magnetometry to detect their intrinsic electronic structure during cycling in real time. The results show that FeF2 cannot be involved in complete conversion reactions when the FeF2 LIBs operate between the conventional voltage range of 1.0–4.0 V, and that the corresponding conversion ratio of FeF2 can be further estimated. Importantly, we first demonstrate that the spin‐polarized surface capacitance exists in the FeF2 cathode by monitoring the magnetic responses over various voltage ranges. The research presents an original and insightful method to examine the conversion mechanism of TMFs and significantly provides an important reference for the future artificial design of energy systems based on spin‐polarized surface capacitance.

Obesity has become one of the major public health problems in both the developing and developed countries. Recent studies have suggested that the purinergic signalling is involved in obesity-associated end-organ damage through purine P1 and P2 receptors. In the search for new components for the treatments of obesity, we and other researchers have found much evidence that natural plant extracts may be promising novel therapeutic approaches by modulating purinergic signalling. In this review, we summarize a critical role of purinergic signalling in modulating obesity-associated end-organ damage, such as overhigh appetite, myocardial ischemia, inflammation, atherosclerosis, non-alcoholic fatty liver disease (NAFLD), hepatic steatosis and renal inflammation. Moreover, we focus on the potential roles of several natural plant extracts, including quercetin, resveratrol/trans-resveratrol, caffeine, evodiamine and puerarin, in alleviating obesity-associated end-organ damage via purinergic signalling. We hope that the current knowledge of the potential roles of natural plant extracts in regulating purinergic signalling would provide new ideas for the treatment of obesity and obesity-associated end-organ damage.

Abstract Design of supportive atomic sites with a controllably adjusted coordinating environment is essential to advancing the reduction of CO2 to value‐added fuels and chemicals and to achieving carbon neutralization. Herein, atomic Ni (Zn) sites that are uniquely coordinated with ternary Zn (Ni)/N/O ligands were successfully decorated on formamide‐derived porous carbon nanomaterials, possibly forming an atomic structure of Ni(N2O1)‐Zn(N2O1), as studied by combining X‐ray photoelectron spectroscopy and X‐ray absorption spectroscopy. With the mediation of additional O coordination, the Ni–Zn dual site induces significantly decreased desorption of molecular CO. The NiZn‐NC decorated with rich Ni(N2O1)‐Zn(N2O1) sites remarkably gained >97% CO Faraday efficiency over a wide potential range of ‒0.8 to ‒1.1 V (relative to reversible hydrogen electrode). Density functional theory computations suggest that the N/O dual coordination effectively modulates the electronic structure of the Ni–Zn duplex and optimizes the adsorption and conversion properties of CO2 and subsequent intermediates. Different from the conventional pathway of using Ni as the active site in the Ni–Zn duplex, it is found that the Ni‐neighboring Zn sites in the Ni(N2O1)‐Zn(N2O1) coordination showed much lower energy barriers of the CO2 protonation step and the subsequent dehydroxylation step.

Abstract The fabrication of flexible catalytic films with isolated single/dual‐atomic sites and their integration in wearable electronics is challenging. Herein, an efficient method to prepare atomically dispersed binary Ni/Co‐decorated flexible carbon nanofiber (NiCo‐CNF) film using formamide‐derived cyano‐specific NiCo‐NC as nanofillers was developed. The optimized Ni1Co1‐CNF catalytic film, having large‐area, high density of adjacent Ni‐N4 and Co‐N4 active sites, and good mechanical properties under repeated bending and release conditions, possessed high catalytic activity towards oxygen reduction reaction (ORR) and oxygen evolution reaction (OER). The ORR/OER potential difference (ΔE10) for Ni1Co1‐CNF at 10.0 mA cm−2 was highly comparable with the Pt/C+RuO2 mixture. In addition, flexible Ni1Co1‐CNF‐assembled Zn‐air battery displayed very good mechanical robustness and cycling stability. Our work may inspire the fabrication of other atomic metal‐decorated films for membrane electrocatalysis.

Given the advancements in modern living standards and technological development, conventional smart devices have proven inadequate in meeting the demands for a high-quality lifestyle. Therefore, a revolution is necessary to overcome this impasse and facilitate the emergence of flexible electronics. Specifically, there is a growing focus on health detection, necessitating advanced flexible preparation technology for biosensor-based smart wearable devices. Nowadays, numerous flexible products are available on the market, such as electronic devices with flexible connections, bendable LED light arrays, and flexible radio frequency electronic tags for storing information. The manufacturing process of these devices is relatively straightforward, and their integration is uncomplicated. However, their functionality remains limited. Further research is necessary for the development of more intricate applications, such as intelligent wearables and energy storage systems. Taking smart wear as an example, it is worth noting that the current mainstream products on the market primarily consist of bracelet-type health testing equipment. They exhibit limited flexibility and can only be worn on the wrist for measurement purposes, which greatly limits their application diversity. Flexible energy storage and flexible display also face the same problem, so there is still a lot of room for development in the field of flexible electronics manufacturing. In this review, we provide a brief overview of the developmental history of flexible devices, systematically summarizing representative preparation methods and typical applications, identifying challenges, proposing solutions, and offering prospects for future development.

Adenosine monophosphosphate-activated protein kinase (AMPK) and its activator metformin were found to be involved in the regulation of fibroblast activation and pulmonary fibrosis. However, the regulatory mechanism has been undetermined. Recently, AMPK has been reported to exert its effect through inhibiting bone morphogenetic protein (BMP) pathway. In this study, human fetal lung fibroblast (HFL-1) cells were treated with metformin or specific AMPKα1 mutants, including constitutively activated mutant (AMPK-CA) and dominant negative mutant (AMPK-DN), combined with BMP9, and then the absorbance of these cells was measured by cell counting kit (CCK)-8 assay. The colony number of HFL-1 cells stimulated by metformin with or without BMP9 was examined by colony formation assay. The protein expressions of differentiated markers (α-smooth muscle actin, collagen I and collagen III) and the key molecules of BMP9 signaling, including activin receptor-like kinase (ALK) one and phosphorylated small mother against decapentaplegic (p-Smad)1/5, were also evaluated by western blot. Data revealed that BMP9 induced the proliferation and differentiation of HFL-1 cells which was suppressed by metformin or AMPK-CA. Meanwhile, the effect of metformin on BMP9-induced activation was counteracted by AMPK-DN. In addition, we found that the expressions of ALK1 and p-Smad1/5 induced by BMP9 were attenuated by metformin and AMPK-CA, whereas the inhibitory responses of metformin to the increased ALK1 and p-Smad1/5 were reduced by AMPK-DN. Accordingly, these results suggested that metformin mitigated BMP9-induced proliferation and differentiation of HFL-1 cells, which was achieved partly through the activation of AMPK and inhibition of ALK1/Smad1/5 signaling.

Abstract Herein, a hierarchically porous N, S‐co‐doped carbon material (named as NS‐C) has been efficiently fabricated from halogenated polymer to meet the targets of the low‐cost anode and cathode materials for Li‐based batteries. Thanks to its large N (∼5.4 at.%) and S (∼1.1 at.%) contents, large specific surface area (∼1510 m2 g–1), and beneficial pore hierarchy, the NS‐C exhibits superior bifunctional performance as anode material and S host for Li‐S cathode. The NS‐C/sulfur composite (named as S@NS‐C) delivers a large capacity of 1125 mAh g–1 at 0.1 C and maintains a capacity of 401 mAh g–1 at 5 C. A continuous long‐term use for 200 cycles at 2 C achieves large capacity retention of 80.5%. Furthermore, the NS‐C can also serve as anode material for stable Li‐ion storage with large capacity, showing very limited capacity fading for over 1000 cycles at both 0.1 and 1.0 A g–1. Moreover, considering the huge amount of halogenated polymer plastic wastes buried, burned, or discarded in the environments, our developed route of simple conversion of halogenated polymers into functional carbon materials for Li‐ion battery anode and S host for Li‐S battery cathode is advantageous for both environmental protection and Li‐based battery industry.

Wearable sensors open unprecedented opportunities for long-term health monitoring and human–machine interaction. Electrospinning is considered to be an ideal technology to produce functional structures for wearable sensors because of its unique merits to endow devices with highly designable functional microstructures, outstanding breathability, biocompatibility, and comfort, as well as its low cost, simple process flow, and high productivity. Recent advances in wearable sensors with one-, two-, or three-dimensional (1D, 2D, or 3D) electrospun microstructures have promoted various applications in healthcare, action monitoring, and physiological information recognition. Particularly, the development of various novel electrospun microstructures different from conventional micro/nanofibrous structures further enhances the electrical, mechanical, thermal, and optical performances of wearable sensors and provides them with multiple detection functions and superior practicality. In this review, we discuss (i) the principle and typical apparatus of electrospinning, (ii) 1D, 2D, and 3D electrospun microstructures for wearable sensing and their construction strategies and physical properties, (iii) applications of microstructured electrospun wearable devices in sensing pressure, temperature, humidity, gas, biochemical molecules, and light, and (iv) challenges of future electrospun wearable sensors for physiological signal recognition, behavior monitoring, personal protection, and health diagnosis.

Flexible zinc batteries have great potential in wearable electronic devices due to their high safety, low cost, and environmental friendliness. In the past few years, a great deal of work on flexible zinc batteries has been reported, with exciting results. Therefore, many solutions have been proposed in electrode design and electrolyte preparation to ensure the desired flexibility without sacrificing the capacity. This paper reviews the recent progress of flexible zinc batteries. We discuss the differences between various anode materials, cathode materials, and electrolytes, introduce the differences of electrode preparation methods of active materials on flexible substrates and their influence on the performance of the battery. Finally, the challenges and future research trends of flexible zinc batteries in capacity and mechanical properties are pointed out.

Purpose: To compare health-related quality of life (HRQOL) of high-dose-rate brachytherapy (HDRB) versus low dose-rate brachytherapy (LDRB) for localized prostate cancer in a multi-institutional phase 2 randomized trial. Methods and Materials: Men with favorable-risk prostate cancer were randomized between monotherapy brachytherapy with either Iodine-125 LDRB to 144 Gy or single-fraction Iridium-192 HDRB to 19 Gy. HRQOL and urinary toxicity were recorded at baseline and at 1, 3, 6, and 12 months using the Expanded Prostate Cancer Index Composite (EPIC)-26 scoring and the International Prostate Symptom Score (IPSS). Independent samples t test and mixed effects modeling were performed for continuous variables. Time to IPSS resolution, defined as return to its baseline score ±5 points, was calculated using Kaplan-Meier estimator curves with the log-rank test. A multiple-comparison adjusted P value of ≤.05 was considered significant. Results: LDRB and HDRB were performed in 15 and 16 patients, respectively, for a total of 31 patients. At 3 months, patients treated with LDRB had a higher IPSS score (mean, 15.5 vs 6.0, respectively; P = .003) and lower EPIC urinary irritative score (mean, 69.2 vs 85.3, respectively; P = .037) compared with those who received HDRB. On repeated measures at 1, 3, 6, and 12 months, the IPSS (P = .003) and EPIC urinary irritative scores (P = .019) were significantly better in the HDR arm, translating into a lower urinary toxicity profile. There were no significant differences in the EPIC urinary incontinence, sexual, or bowel habit scores between the 2 groups at any measured time point. Time to IPSS resolution was significantly shorter in the HDRB group (mean, 2.0 months) compared with the LDRB group (mean, 6.0 months; P = .028). Conclusions: HDRB monotherapy is a promising modality associated with a lower urinary toxicity profile and higher HRQOL in the first 12 months compared with LDRB.

Chlamydia trachomatisChlamydia

Pre-cooling in a re-condenser is one of the key tasks for the smooth operation in a liquefied natural gas receiving station. It should be conducted economically and efficiently to ensure operation safety so that the re-condenser material damage caused by the thermal stress can be avoided. In this paper, a pre-cooling temperature model based on the computational fluid dynamics technology has been established to complete the large-grid calculation in the re-condenser. Combined with the component transport equation and volume of fluid multi-phase flow model, a theoretical system has been built which can be applied to both the gas phase pre-cooling model and the liquid phase pre-cooling model. The fast and stable calculation of the multi-component multiphase and large-scale has been realized through controlling the grid optimization, dynamic relaxation factor, and phase change model selection. To realize the coupling between the temperature model and the stress model and analyze the thermal stress caused by the temperature change in the pre-cooling real time, a pre-cooling stress model has been constructed and a temperature difference algorithm has been proposed. After analyzing the overall and local model of the re-condenser, the thermal deformation and thermal stress during the pre-cooling of the re-condenser can be comprehensively analyzed, and the detailed analysis of the stress and fatigue life at the peak stress region (e.g., the nozzle) can be achieved. The prediction accuracy of the pre-cooling temperature–stress model has been verified by the on-site measured data. They have great popularizing and applying values. The two models can provide scientific support in pre-cooling scheme design, optimization, pre-cooling flow, and structural safety, and when applied to engineering, they can lead to significant economic and safety benefits.

Lactate and isoprene are two common monomers for the industrial production of polyesters and synthetic rubbers. The present study tested the co-production of D-lactate and isoprene by engineered Escherichia coli in microaerobic conditions. The deletion of alcohol dehydrogenase (adhE) and acetate kinase (ackA) genes, along with the supplementation with betaine, improved the co-production of lactate and isoprene from the substrates of glucose and mevalonate. In fed-batch studies, microaerobic fermentation significantly improved the isoprene concentration in fermentation outlet gas (average 0.021 g/L), compared with fermentation under aerobic conditions (average 0.0009 g/L). The final production of D-lactate and isoprene can reach 44.0 g/L and 3.2 g/L, respectively, through fed-batch microaerobic fermentation. Our study demonstrated a dual-phase production strategy in the co-production of isoprene (gas phase) and lactate (liquid phase). The increased concentration of gas-phase isoprene could benefit the downstream process and decrease the production cost to collect and purify the bio-isoprene from the fermentation outlet gas. The proposed microaerobic process can potentially be applied in the production of other volatile bioproducts to benefit the downstream purification process.

Abstract Background Whole-cell tumor vaccines have shown much promise; however, only limited success has been achieved for the goal of eliciting robust tumor-specific T-cell responses. Methods Hepatocellular carcinoma (HCC) cells, H22 and Hepa1–6, were modified by blocking the STAT3 signaling pathway with a STAT3 decoy oligodeoxynucleotide, and the immunogenicity and possibility of using these cell lysates as a vaccine were evaluated. Results STAT3-blocked whole HCC cell lysates inhibited tumor growth and tumorigenesis, and prolonged the survival of tumor-bearing mice. In addition, STAT3-blocked whole HCC cell lysates stimulated the activation of T cells and natural killer (NK) cells, and enhanced the infiltration of cytotoxic CD8+ T cells in the tumor tissues. In addition, the maturation of dendritic cells (DCs) was enhanced, which promoted the generation of immunological memory against HCC. Furthermore, secondary immune responses could be primed as soon as these immunized mice were challenged with HCC cells, accompanied by T cell and NK cell activation and infiltration. Additionally, immunization with this vaccine decreased the generation of Tregs and the production of TGF-β and IL-10. Importantly, STAT3-blocked whole HCC cell lysates prevented HCC-mediated exhaustion of T cells and NK cells, showing low expression of checkpoint molecules such as PD-1 and TIGIT on T cells and NK cells in the immunized mice. Conclusions The newly generated STAT3-blocked whole-cell HCC vaccine has potential for cancer cell vaccination.

Transition metals and related compounds are known to exhibit high catalytic activities in various electrochemical reactions thanks to their intriguing electronic structures. What is lesser known is their unique role in storing and transferring electrons in battery electrodes which undergo additional solid-state conversion reactions and exhibit substantially large extra capacities. Here, a full dynamic picture depicting the generation and evolution of electrochemical interfaces in the presence of metallic nanoparticles is revealed in a model CoCO3/Li battery via an in situ magnetometry technique. Beyond the conventional reduction to a Li2CO3/Co mixture under battery operation, further decomposition of Li2CO3 is realized by releasing interfacially stored electrons from its adjacent Co nanoparticles, whose subtle variation in the electronic structure during this charge transfer process has been monitored in real time. The findings in this work may not only inspire future development of advanced electrode materials for next-generation energy storage devices but also open up opportunities in achieving in situ monitoring of important electrocatalytic processes in many energy conversion and storage systems. [ABSTRACT FROM AUTHOR]

Interfacial catalysis occurs ubiquitously in electrochemical systems, such as batteries, fuel cells, and photocatalytic devices. Frequently, in such a system, the electrode material evolves dynamically at different operating voltages, and this electrochemically driven transformation usually dictates the catalytic reactivity of the material and ultimately the electrochemical performance of the device. Despite the importance of the process, comprehension of the underlying structural and compositional evolutions of the electrode material with direct visualization and quantification is still a significant challenge. In this work, we demonstrate a protocol for studying the dynamic evolution of the electrode material under electrochemical processes by integrating microscopic and spectroscopic analyses, operando magnetometry techniques, and density functional theory calculations. The presented methodology provides a real-time picture of the chemical, physical, and electronic structures of the material and its link to the electrochemical performance. Using Co(OH)2 as a prototype battery electrode and by monitoring the Co metal center under different applied voltages, we show that before a well-known catalytic reaction proceeds, an interfacial storage process occurs at the metallic Co nanoparticles/LiOH interface due to injection of spin-polarized electrons. Subsequently, the metallic Co nanoparticles act as catalytic activation centers and promote LiOH decomposition by transferring these interfacially residing electrons. Most intriguingly, at the LiOH decomposition potential, electronic structure of the metallic Co nanoparticles involving spin-polarized electrons transfer has been shown to exhibit a dynamic variation. This work illustrates a viable approach to access key information inside interfacial catalytic processes and provides useful insights in controlling complex interfaces for wide-ranging electrochemical systems. [ABSTRACT FROM AUTHOR]

Resistance to tamoxifen (Tam), a widely used antagonist of the estrogen receptor (ER), is a common obstacle to successful breast cancer treatment. While adjuvant therapy with Tam has been shown to significantly decrease the rate of disease recurrence and mortality, recurrent disease occurs in one third of patients treated with Tam within 5 years of therapy. A better understanding of gene expression alterations associated with Tam resistance will facilitate circumventing this problem. Using a next generation sequencing approach and a new bioinformatics model, we compared the transcriptomes of Tam-sensitive and Tam-resistant breast cancer cells for identification of genes involved in the development of Tam resistance. We identified differential expression of 1215 mRNA and 513 small RNA transcripts clustered into ERα functions, cell cycle regulation, transcription/translation, and mitochondrial dysfunction. The extent of alterations found at multiple levels of gene regulation highlights the ability of the Tam-resistant cells to modulate global gene expression. Alterations of small nucleolar RNA, oxidative phosphorylation, and proliferation processes in Tam-resistant cells present areas for diagnostic and therapeutic tool development for combating resistance to this anti-estrogen agent.

BACKGROUND: Despite being the definitive treatment for lower extremity peripheral arterial disease, vein bypass grafts fail in half of all cases. Early repair mechanisms after implantation, governed largely by the immune environment, contribute significantly to long-term outcomes. The current study investigates the early response patterns of circulating monocytes as a determinant of graft outcome. METHODS: In 48 patients undergoing infrainguinal vein bypass grafting, the transcriptomes of circulating monocytes were analyzed preoperatively and at 1, 7, and 28 days post-operation. RESULTS: Dynamic clustering algorithms identified 50 independent gene response patterns. Three clusters (64 genes) were differentially expressed, with a hyperacute response pattern defining those patients with failed versus patent grafts 12 months post-operation. A second independent data set, comprised of 96 patients subjected to major trauma, confirmed the value of these 64 genes in predicting an uncomplicated versus complicated recovery. Causal network analysis identified 8 upstream elements that regulate these mediator genes, and Bayesian analysis with a priori knowledge of the biological interactions was integrated to create a functional network describing the relationships among the regulatory elements and downstream mediator genes. Linear models predicted the removal of either STAT3 (signal transducer and activator of transcription 3) or MYD88 (myeloid differentiation primary response 88) to shift mediator gene expression levels toward those seen in successful grafts. CONCLUSIONS: A novel combination of dynamic gene clustering, linear models, and Bayesian network analysis has identified a core set of regulatory genes whose manipulations could migrate vein grafts toward a more favorable remodeling phenotype. [ABSTRACT FROM AUTHOR]

Recently, certain studies have demonstrated in vitro that prostaglandin E2 (PGE2) promotes human cluster of differentiation (CD)34+ cell homing. However, the sub-type receptors activated by PGE2 are unknown, as the PGE2 receptor EP1-4 subtypes (EP1-4) are expressed on the membrane of human CD34+ cells. Based on the above, the present study aimed to screen the receptor subtype activity by PGE2 to promote human CD34+ cell homing. It was observed that human CD34+ cells expressed the four PGE2 sub-receptors, particularly EP2 and 4. PGE2 increased EP2 and 4 mRNA expression significantly, while EP1 and 3 mRNA exhibited no significant alteration. PGE2, EP2 agonist (EP2A), and EP4A upregulated C-X-C chemokine receptor 4 mRNA and protein expression in human CD34+ cells, and promoted stromal cell-derived factor 1a (SDF-1a) expression in bone marrow mesenchymal stem cells (BMMSCs). These phenomena were inhibited by the associated receptor antagonists. PGE2, EP2A, and EP4A facilitated human CD34+ cell migration towards SDF-1a and BMMSCs. The results of the present study suggested that PGE2 promoted human CD34+ cell homing through EP2 and 4 receptors in vitro. [ABSTRACT FROM AUTHOR]

Organic electroactive materials represent a new generation of sustainable energy storage technology due to their unique features including environmental benignity, material sustainability, and highly tailorable properties. Here a carbonyl-based organic salt Na2C6O6, sodium rhodizonate (SR) dibasic, is systematically investigated for high-performance sodium-ion batteries. A combination of structural control, electrochemical analysis, and computational simulation show that rational morphological control can lead to significantly improved sodium storage performance. A facile antisolvent method was developed to synthesize microbulk, microrod, and nanorod structured SRs, which exhibit strong size-dependent sodium ion storage properties. The SR nanorod exhibited the best performance to deliver a reversible capacity of ~190 mA h g-1 at 0.1 C with over 90% retention after 100 cycles. At a high rate of 10 C, 50% of the capacity can be obtained due to enhanced reaction kinetics, and such high electrochemical activity maintains even at 80 °C. These results demonstrate a generic design route toward high-performance organic-based electrode materials for beyond Li-ion batteries. Using such a biomass-derived organic electrode material enables access to sustainable energy storage devices with low cost, high electrochemical performance and thermal stability. [ABSTRACT FROM AUTHOR]

Conducting polymer hydrogels emergeas a novel class of polymeric materials that show great potentialin many energy, environmental, and biomedical devices. We describehere for the first time a general supramolecular approach toward controlledin situ synthesis of one-dimensional nanostructured conductive hydrogels(polypyrrole (PPy) as a model system) using a rational dopant counterion,which is a disc-shaped liquid crystal molecular copper phthalocyanine-3,4′,4″,4‴-tetrasulfonicacid tetrasodium salt (CuPcTs). The dopant molecule CuPcTs cross-linkedthe PPy chains to form a three-dimensional network that gelated intoa hydrogel. The PPy hydrogel could be synthesized in bulk quantitieswith uniform morphology of self-assembled interconnected nanofibers.The tetra-functional dopant favors a supramolecular self-assemblymechanism to form one-dimensional PPy nanostructures. Furthermore,the enhanced interchain charge transport of CuPcTs doped PPy resultedin greatly enhanced conductivity and pseudocapacitance compared withpristine PPy. [ABSTRACT FROM AUTHOR]

Unlike annuals, all perennial plants undergo seasonal transitions during ontogeny . As an adaptive response to seasonal changes in climate, the seasonal pattern of growth is likely to be under genetic control, although its underlying genetic basis remains unknown. Here, we develop a computational model that can map specific quantitative trait loci (QTLs) responsible for seasonal transitions of growth in perennials. The model is founded on functional mapping, a statistical framework to map developmental dynamics, which is reformed to integrate a seasonally adjusted growth function. The new model is equipped with a capacity to characterize the genetic effects of QTLs on seasonal alternation at different ages and then to better elucidate the genetic architecture of development. The model is implemented with a series of testing procedures, including (i) how a QTL controls an overall ontogenetic growth curve, (ii) how the QTL determines seasonal trajectories of growth within years and (iii) how it determines the dynamic nature of age-specific season response. The model was validated through computer simulation. The extension of season adjustment to other types of biological curves is statistically straightforward, facilitating a wider variety of genetic studies into ontogenetic growth and development in perennial plants. [ABSTRACT FROM AUTHOR]

Triploidy is characterized by the presence of an additional set of chromosome in organisms. It has been proved lethal for humans' fetus and causing abortion at last trimester of pregnancy. Some of the triploidy neonates can survive up to several weeks with several physical and mental abnormalities. In current study we enrolled a 27-year-old pregnant woman for genetic counseling with a suspect of Edwards syndrome (trisomy 18) at her gestation period of 16 weeks, GTG-banded metaphase analysis revealed a karyotype of 69 XXX. Microsatellite based genotyping of fetus and parents revealed that triploidy is initiated during meiosis-I and inherited from mother. Therefore, we suggest that the diagnosis of triploidy should be performed at early stage of gestation to avoid the complication at late stages of pregnancy. [ABSTRACT FROM AUTHOR]

Dynamic changes of gene expression reflect an intrinsic mechanism of how an organism responds to developmental and environmental signals. With the increasing availability of expression data across a time-space scale by RNA-seq, the classification of genes as per their biological function using RNA-seq data has become one of the most significant challenges in contemporary biology. Here we develop a clustering mixture model to discover distinct groups of genes expressed during a period of organ development. By integrating the density function of multivariate Poisson distribution, the model accommodates the discrete property of read counts characteristic of RNA-seq data. The temporal dependence of gene expression is modeled by the first-order autoregressive process. The model is implemented with the Expectation-Maximization algorithm and model selection to determine the optimal number of gene clusters and obtain the estimates of Poisson parameters that describe the pattern of time-dependent expression of genes from each cluster. The model has been demonstrated by analyzing a real data from an experiment aimed to link the pattern of gene expression to catkin development in white poplar. The usefulness of the model has been validated through computer simulation. The model provides a valuable tool for clustering RNA-seq data, facilitating our global view of expression dynamics and understanding of gene regulation mechanisms. [ABSTRACT FROM AUTHOR]

Electrochemically active conducting polymers are an important class of materials for applications in energy storage devices such as batteries and supercapacitors, owing to their advantageous features of unique three-dimensional (3D) porous microstructure, high capacitive energy density, scalable synthesis and light weight. Here, we synthesized a nanostructured conductive polypyrrole (PPy) hydrogel via an interfacial polymerization method. The simple synthesis chemistry offers the conductive hydrogel tunable nano-structures and electrochemical performance, as well as scalable processability. Moreover, the unique 3D porous nanostructure constructed by interconnected polymer nanospheres endows PPy hydrogels with good mechanical properties and high performance acting as supercapacitor electrodes with a specific capacitance of ~380 F g-1, excellent rate capability, and areal capacitance as high as ~6.4 F cm-2 at a mass loading of 20 mg cm-2. [ABSTRACT FROM AUTHOR]