Cr dopant mediates hydroxyl spillover on RuO2 for high-efficiency proton exchange membrane electrolysis.

Simultaneously improving the activity and stability of catalysts for anodic oxygen evolution reaction (OER) in proton exchange membrane water electrolysis (PEMWE) remains a notable challenge. Here, we report a chromium-doped ruthenium dioxide with oxygen vacancies, termed Cr0.2Ru0.8O2-x, that drives OER with an overpotential of 170 mV at 10 mA cm-2 and operates stably over 2000 h in acidic media. Experimental and theoretical studies show that the synergy of Cr dopant and oxygen vacancy induces an unconventional dopant-mediated hydroxyl spillover mechanism. Such dynamic hydroxyl spillover from Cr dopant to Ru active site changes the rate-determining step from OOH* formation to O2 formation and thus greatly improves the OER performance. Moreover, the Cr dopant and oxygen vacancy also play a crucial role in stabilizing surface Ru and lattice oxygen in the Ru-O-Cr structural motif. When assembled into the anode of a practical PEMWE device, Cr0.2Ru0.8O2-x enables long-term durability of over 200 h at an ampere-level current density and 60 degrees centigrade.

Lactonization of Diols Over Highly Efficient Metal-Based Catalysts.

Lactones has gained increasing attention in recent years due to wide application in polymer and pharmaceutical industries. Traditional synthetic methods of lactones often involve harsh operating temperature, use of strong alkalis and toxic oxidants. Therefore, lactonization of diols under milder conditions have been viewed as the most promising route for future commercialization. A variety of metal catalysts (Ru, Pt, Ir, Au, Fe, Cu, Co, and Zn) have been developed for highly efficient oxidant-, acceptor-, base- and additive-free lactonization processes. However, only a few initial attempts have been reported with no further details on catalytic mechanism being disclosed in literature. There demands a systematic study of the mechanistic details and the structure-function relationship to guide the catalyst design. In this work, we critically reviewed and discussed the structure-function relationship, the catalytic reaction mechanism, the catalyst stability, as well as the effect of oxidant and solvent for lactonization of diols. This work may provide additional insights for the development of other oxygen-containing functional molecules for material science and technologies.

Network pharmacology screening, in vitro and in vivo evaluation of antianxiety and antidepressant drug-food analogue.

BACKGROUND: Depression and anxiety disorders are prevalent psychiatric conditions, and currently utilized chemical drugs typically come with significant adverse effects. China boasts a wealth of medicinal and food herbs known for their safe and effective properties. PURPOSE: This study aimed to develop novel formulations with improved antidepressant and anxiolytic effects derived from medicinal and food herbs. STUDY DESIGN: Screening combinations with antidepressant and anxiolytic effects using techniques such as network pharmacology and validating their effects in vitro and in vivo experiments. METHODS: Utilizing network pharmacology and molecular docking, we identified the top ten medicinal herbs with anxiolytic and antidepressant potential. Herbs with cytoprotective effects and non-toxic characteristics were further screened to formulate the herbal blends. Subsequently, we established a PC12 cell injury model and a chronic unpredictable mild stress (CUMS) model in mice to assess the effects of our formulations. RESULTS: Ten medicinal herbs were initially screened, and six of them were deemed suitable for formulating the blend, namely Gancao, Dazao, Gouqizi, Sangye, Huangqi, and Jinyinhua (GDGSHJ). The GDGSHJ formulation reduced Lactate Dehydrogenase (LDH) leakage, decreased apoptosis, and demonstrated a favorable antidepressant and antianxiety effect in the CUMS mouse model. Besides, GDGSHJ led to the upregulation of serum 5-Hydroxytryptamine (5-HT) content and brain tissue 5-HT, Gamma-aminobutyric acid (GABA), and Dopamine (DA) levels. It also downregulated the expression of SLC6A4 and SLC6A3 genes in the mouse hippocampus while upregulating HTR1A, DRD1, DRD2, and GABRA1 genes. CONCLUSION: Our formulation exhibited robust antidepressant and antianxiety effects without inducing substantial toxicity. This efficacy appears to be mediated by the expression of relevant genes within the hippocampus of mice. The formulation achieved this effect by balancing 5-HT levels in the serum and DA, GABA, and 5-HT levels within brain tissue.

An unprotected vulnerable relict subtropical conifer-Keteleeria evelyniana: Its forests, populations, growth and endangerment by invasive alien plant species in China.

Relict subtropical coniferous forests in China face severe fragmentation, resulting in declining populations, and some are under significant threat from invasive alien species. Despite the crucial importance of understanding forest dynamics, knowledge gaps persist, particularly regarding the impact of invasive plants on vulnerable natives like Keteleeria evelyniana. In this study, we investigated the impact of invasive plants on the regeneration of forests dominated by K. evelyniana, a subtropical relict species in southwestern China. For this purpose, we characterized forest dynamics of 160 forest plots featuring K. evelyniana as the primary dominant species and determined whether the presence of invasive plants was correlated with regeneration of K. evelyniana. We identified four distinct forest types in which K. evelyniana was dominant. We found that radial growth of K. evelyniana trees is faster in younger age-classes today than it was for older trees at the same age. The population structure of K. evelyniana in each forest type exhibited a multimodal age-class distribution. However, three forest types lacked established saplings younger than 10 years old, a situation attributed to the dense coverage of the invasive alien Ageratina adenophora. This invasive species resulted in a reduction of understory species diversity. Additionally, our analysis uncovered a significant negative correlation in phylogenetic relatedness (net relatedness index) between native and invasive alien plant species in eastern Yunnan. This suggests closely related invasive species face heightened competition, hindering successful invasion. Taken together, our findings indicate that successful establishment and habitat restoration of K. evelyniana seedling/saplings require effective measures to control invasive plants.

Distribution of microplastics in Lanzhou section of the Yellow River: Characteristics, ecological risk assessment, and factors analysis.

Microplastic (MP) is an emerging pollutant that has attracted attention in the environmental field, and the research of MPs in freshwater systems needs to be strengthened. To characterize the MPs in surface water and sediments of the western urban river network, water and sediment samples were collected. The results showed that the abundance of MPs in the water body of the river network ranged from 7 to 172 n/L, whereas the abundance of MPs in the sediments ranged from 7 to 144 n/kg, and the average abundance in the dry season was significantly higher than that in the rainy season. The majority of MPs (83.67 %) were < 1 mm and fibrous. The most commonly identified types of MPs were PET and PP, while the color blue was frequently observed. MPs have the potential to vertically migrate in sediments, with size, shape, density, and hydrodynamic forces being the main factors that contribute to this process. Correlation analysis results revealed that anthropogenic and meteorological factors, including precipitation, atmospheric conditions, and population density, had a discernible impact on the abundance, size, and shape of MPs. The ecological risk of MPs was assessed using the Polymer Hazardous Index (PHI), Pollution Load Index (PLI), and Potential Ecological Risk Index (PERI) methods, and the results showed that the overall ecological risk of the Lanzhou section of the Yellow River was low. This study can provide a scientific basis for monitoring and risk assessment of emerging contaminants such as MPs in the river environment.

Vitrification cryo-foil method for shoot tip cryopreservation and virus eradication in apple.

Establishment of a new method for improved shoot tip cryopreservation is crucial to facilitate the long-term preservation of plant germplasm as well as the use of cryotherapy for pathogen eradication. The present study reported a vitrification (V) cryo-foil method for shoot tip cryopreservation and virus eradication in apple. Shoot tip regrowth levels after cryopreservation were comparable among V cryo-foil (53 %), V cryo-plate (46 %) and conventional droplet vitrification (Dr-vi, 48 %). The V cryo-foil is more efficient to perform than Dr-vi as more shoot tips can be cryopreserved by one person. In the histological study applying an image-overlaying strategy, shoot tips cryopreserved by V cryo-foil showed a higher survival chance in the youngest leaf primordia than in the apical dome. When V cryo-foil was tested for virus eradication, fifty-five percent (55 %) of cryo-derived shoots were free of the apple stem pitting virus (ASPV), while none and less than 10 % were free of the apple stem grooving virus (ASGV) and the apple chlorotic leaf spot virus (ACLSV), respectively. Thus, these two viruses were efficiently preserved by V cryo-foil cryopreservation. Noticeably, although the shoot regrowth level was reduced to 27 %, a higher frequency (81 %) of ASPV eradication was achieved when a reduced duration of cryoprotectant exposure was applied in V cryo-foil, supporting the use of insufficient cryoprotection for improved virus eradication.

Compact Silicon-Arrayed Waveguide Gratings with Low Nonuniformity.

Array waveguide gratings (AWGs) have been widely used in multi-purpose and multi-functional integrated photonic devices for Microwave photonics (MWP) systems. In this paper, we compare the effect of output waveguide configurations on the performance of AWGs. The AWG with an output waveguide converging on the grating circle had larger crosstalk and lower nonuniformity. We also fabricated a 1 × 8 AWG with an output waveguide converging onto the SOI's grating circle, whose central operation wavelength was around 1550 nm. The fabricated AWG has a chip size of 500 µm × 450 µm. Experimental results show that the adjacent channel crosstalk is -12.68 dB. The center channel insertion loss, as well as 3 dB bandwidth, are 4.18 dB and 1.22 nm at 1550 nm, respectively. The nonuniformity is about 0.494 dB, and the free spectral range is 19.4 nm. The proposed AWG is expected to play an important role in future MWP systems given its good nonuniformity and insertion loss level.

Nitrogen-Mediated Promotion of Cobalt-Based Oxygen Evolution Catalyst for Practical Anion-Exchange Membrane Electrolysis.

Scarce and expensive iridium oxide is still the cornerstone catalyst of polymer-electrolyte membrane electrolyzers for green hydrogen production because of its exceptional stability under industrially relevant oxygen evolution reaction (OER) conditions. Earth-abundant transition metal oxides used for this task, however, show poor long-term stability. We demonstrate here the use of nitrogen-doped cobalt oxide as an effective iridium substitute. The catalyst exhibits a low overpotential of 240 mV at 10 mA cm-2 and negligible activity decay after 1000 h of operation in an alkaline electrolyte. Incorporation of nitrogen dopants not only triggers the OER mechanism switched from the traditional adsorbate evolution route to the lattice oxygen oxidation route but also achieves oxygen nonbonding (ONB) states as electron donors, thereby preventing structural destabilization. In a practical anion-exchange membrane water electrolyzer, this catalyst at anode delivers a current density of 1000 mA cm-2 at 1.78 V and an electrical efficiency of 47.8 kW-hours per kilogram hydrogen.

Application of physicochemical techniques to the removal of ammonia nitrogen from water: a systematic review.

Ammonia nitrogen is a common pollutant in water and soil, known for its biological toxicity and complex removal process. Traditional biological methods for removing ammonia nitrogen are often inefficient, especially under varying temperature conditions. This study reviews physicochemical techniques for the treatment and recovery of ammonia nitrogen from water. Key methods analyzed include ion exchange, adsorption, membrane separation, struvite precipitation, and advanced oxidation processes (AOPs). Findings indicate that these methods not only remove ammonia nitrogen but also allow for nitrogen recovery. Ion exchange, adsorption, and membrane separation are effective in separating ammonia nitrogen, while AOPs generate reactive species for efficient degradation. Struvite precipitation offers dual benefits of removal and resource recovery. Despite their advantages, these methods face challenges such as secondary pollution and high energy consumption. This paper highlights the development principles, current challenges, and future prospects of physicochemical techniques, emphasizing the need for integrated approaches to enhance ammonia nitrogen removal efficiency.

Facet-switching of rate-determining step on copper in CO2-to-ethylene electroreduction.

Reduction of carbon dioxide (CO2) by renewable electricity to produce multicarbon chemicals, such as ethylene (C2H4), continues to be a challenge because of insufficient Faradaic efficiency, low production rates, and complex mechanistic pathways. Here, we report that the rate-determining steps (RDS) on common copper (Cu) surfaces diverge in CO2 electroreduction, leading to distinct catalytic performances. Through a combination of experimental and computational studies, we reveal that C─C bond-making is the RDS on Cu(100), whereas the protonation of *CO with adsorbed water becomes rate-limiting on Cu(111) with a higher energy barrier. On an oxide-derived Cu(100)-dominant Cu catalyst, we reach a high C2H4 Faradaic efficiency of 72%, partial current density of 359 mA cm-2, and long-term stability exceeding 100 h at 500 mA cm-2, greatly outperforming its Cu(111)-rich counterpart. We further demonstrate constant C2H4 selectivity of >60% over 70 h in a membrane electrode assembly electrolyzer with a full-cell energy efficiency of 23.4%.

AI-Assisted Insole Sensing System for Multifunctional Plantar-Healthcare Applications.

The pervasive global issue of population aging has led to a growing demand for health monitoring, while the advent of electronic wearable devices has greatly alleviated the strain on the industry. However, these devices come with inherent limitations, such as electromagnetic radiation, complex structures, and high prices. Herein, a Solaris silicone rubber-integrated PMMA polymer optical fiber (S-POF) intelligent insole sensing system has been developed for remote, portable, cost-effective, and real-time gait monitoring. The system is capable of sensitively converting the pressure of key points on the sole into changes in light intensity with correlation coefficients of 0.995, 0.952, and 0.910. The S-POF sensing structure demonstrates excellent durability with a 4.8% variation in output after 10,000 cycles and provides stable feedback for bending angles. It also exhibits water resistance and temperature resistance within a certain range. Its multichannel multiplexing framework allows a smartphone to monitor multiple S-POF channels simultaneously, meeting the requirements of convenience for daily care. Also, the system can efficiently and accurately provide parameters such as pressure, step cadence, and pressure distribution, enabling the analysis of gait phases and patterns with errors of only 4.16% and 6.25% for the stance phase (STP) and the swing phase (SWP), respectively. Likewise, after comparing various AI models, an S-POF channel-based gait pattern recognition technique has been proposed with a high accuracy of up to 96.87%. Such experimental results demonstrate that the system is promising to further promote the development of rehabilitation and healthcare.

Morphometric approaches to Cannabis evolution and differentiation from archaeological sites: interpreting the archaeobotanical evidence from bronze age Haimenkou, Yunnan.

Cannabis grains are frequently reported from archaeological sites in Asia, and hypothesized centers of origins are China and Central Asia. Chinese early cannabis remains are often interpreted as evidence of hemp fabric production, in line with early textual evidence describing ritualistic hemp cloth use and hemp cultivation as a grain crop. Modern measurements on cannabis varieties show distinct sizes between fibre or oil/fibre and psychoactive varieties, the former having larger seeds on average than the latter. This paper reviews the current macro-botanical evidence for cannabis across East, Central and South Asia and builds a comparative framework based on modern cannabis seed measurements to help identify cannabis use in the past, through the metric analysis of archaeologically preserved seeds. Over 800 grains of cannabis were retrieved from the 2008 excavation of Haimenkou, Yunnan, Southwest China, dating to between 1650 and 400 bc. These are compared with other known archaeological cannabis and interpreted through the metric framework. This offers a basis for exploration of the seed morphometrics potential to infer cannabis cultivation and diversification in uses. At Haimenkou, cannabis seeds size mostly plot in the range of overlapping psychoactive/fibre types; we therefore suggest that the cannabis assemblage from Haimenkou is indicative of a crop beginning to undergo evolution from its early domesticated form towards a diversified crop specialized for alternative uses, including larger oilseed/fibre adapted varieties. Supplementary Information: The online version contains supplementary material available at 10.1007/s00334-023-00966-6.

Geographical accessibility of medical resources, health status, and demand of integrated care for older people: a cross-sectional survey from Western China.

BACKGROUND: The World Health Organization (WHO) published the Integrated Care for Older People (ICOPE) framework to help healthcare providers cope with the population aging crisis. However, the relevant evidence on the demands of older people and the compensatory capacity of the environment is limited. This study reports for the first time the level of the ICOPE demand in Western China that includes the impact of geographic accessibility of medical resources (GAMR) on ICOPE demand and the potential mechanism of health status. METHODS: A cross-sectional questionnaire survey was conducted among 1200 adults aged 60 years and older selected through multi-stage stratified cluster sampling to obtain relevant data, including ICOPE demand, health status, and GAMR. Propensity score matching (PSM) was used to analyze the impact of GAMR on ICOPE demand among older people and those with different health statuses. RESULTS: Among the prospective research participants, 1043 were eligible for the study. The mean score of ICOPE demand among all participants was 3.68 (standard deviation [SD] = 0.78). After adjusting for covariates between high and low GAMR groups (1:1 match), ICOPE demand was significantly higher in the low GAMR group than in the high GAMR group (average treatment effect on the treated [ATT] = 0.270, p < 0.05). For both good and poor self-rated health status, the ICOPE demand of the low GAMR group was significantly higher than that in the high GAMR group (ATT = 0.345, p < 0.05; ATT = 0.190, p < 0.05). For chronic diseases, the ICOPE demand of older people with multimorbidity in the low GAMR group was significantly higher than that in the high GAMR group (ATT = 0.318, p < 0.01). CONCLUSIONS: The older population in Western China has a relatively high demand for ICOPE. Low GAMR is a key factor in ICOPE demand growth in this region. It accelerates demand release for both older people with multimorbidity and self-perceptions of health.

Unraveling Stoichiometry Effect in Nickel-Tungsten Alloys for Efficient Hydrogen Oxidation Catalysis in Alkaline Electrolytes.

Anion-exchange membrane fuel cells provide the possibility to use platinum group metal-free catalysts, but the anodic hydrogen oxidation reaction (HOR) suffers from sluggish kinetics and its source is still debated. Here, over nickel-tungsten (Ni-W) alloy catalysts, we show that the Ni : W ratio greatly governs the HOR performance in alkaline electrolyte. Experimental and theoretical studies unravel that alloying with W can tune the unpaired electrons in Ni, tailoring the potential of zero charge and the catalytic surface to favor hydroxyl adsorption (OHad). The OHad species coordinately interact with potassium (K+) ions, which break the K+ solvation sheath to leave free water molecules, yielding an improved connectivity of hydrogen-bond networks. Consequently, the optimal Ni17W3 alloy exhibits alkaline HOR activity superior to the state-of-the-art platinum on carbon (Pt/C) catalyst and operates steadily with negligible decay after 10,000 cycles. Our findings offer new understandings of alloyed HOR catalysts and will guide rational design of next-generation catalysts for fuel cells.

Biological functions of LncRNA SNHG14 in the development of thyroid cancer cells via targeting miR-206.

This study aimed to determine lncRNA SNHG14 and miR-206 in Thyroid Cancer ( TC) and to explore the related mechanisms. Sixty-four samples of thyroid tissue were collected from patients with TC. TC cell lines and a normal human thyroid cell line (HTori-3) were bought. lncRNA SNHG14-siRNA (si-lncRNA SNHG14), lncRNA SNHG14-shRNA (sh-lncRNA SNHG14), blank plasmid (siRNA-NC), miR-206-inhibitor, miR-206-mimics were transfected into BHT101 and Ocut-2C cells. qRT-PCR quantified the expression of lncRNA SNHG14 and miR-206, and the expression of vimentin, Snail, N-cadherin, Slug, E-cadherin and ZO-1 proteins were identified via WB. MTT assay, flow cytometry, and Transwell were employed to determine cellular proliferation, apoptosis, and invasion, separately. The high expression of lncRNA SNHG14 and low expression of miR-206 were exhibited in patients with TC. lncRNA SNHG14 and miR-206 were related to lymph node metastases, TNM staging, as well as differentiation of TC. Silencing lncRNA SNHG14 and over-expressing miR-206 inhibited cell EMT, proliferation, and invasion, but accelerated apoptosis. WB demonstrated that silencing lncRNA SNHG14 and over-expressing miR-206 suppressed the expression of Akt, p-ERK1/2, p-p38, p-4EBP1, p-Akt, PI3K, vimentin, Snail, N-cadherin, and Slugn, as well as up-regulated the expression of E-cadherin and ZO-1. Rescue experiment showed that after BHT101 and Ocut-2C cells were transfected with either sh-lncRNA SNHG14+miR-206-mimics or si-lncRNA SNHG14+miR-206-inhibitor, the cellular proliferative, invasive, and apoptotic activities weren't different from those transfected with siRNA-NC. Suppression of lncRNA SNHG14 up-regulates miR-206 and affects EMT, as well as proliferative, invasive, and apoptotic activities of cells, which may become an underlying treatment target for TC.

Prognostic value of inflammation and immune-related gene NOD2 in clear cell renal cell carcinoma.

Inflammation and immune responses play important roles in cancer development and prognosis. We identified 59 upregulated inflammation- and immune-related genes (IIRGs) in clear cell renal cell carcinoma (ccRCC) from The Cancer Genome Atlas database. Among the upregulated IIRGs, nucleotide binding oligomerization domain 2 (NOD2), PYD and CARD domain (PYCARD) were also confirmed to be upregulated in the Oncomine database and in three independent GEO data sets. Tumor immune infiltration resource database analysis revealed that NOD2 and PYCARD levels were significantly positively correlated with infiltration levels of B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages and dendritic cells. Multivariate Cox hazards regression analysis indicated that based on clinical variables (age, gender, tumor grade, pathological TNM stage), NOD2, but not PYCARD, was an independent, unfavorable ccRCC prognostic biomarker. Functional enrichment analyses (GSEA) showed that NOD2 was involved in innate immune responses, inflammatory responses, and regulation of cytokine secretion. Meanwhile, mRNA and protein levels of NOD2 were elevated in four ccRCC cell lines (786-O, ACHN, A498 and Caki-1), and its knockdown significantly inhibited IL-8 secretion, thereby inhibiting ccRCC cell proliferation and invasion. Furthermore, results showed that miR-20b-5p targeted NOD2 to alleviate NOD2-mediated IL-8 secretion. In conclusion, NOD2 is a potential prognostic biomarker for ccRCC and the miR-20b-5p/NOD2/IL-8 axis may regulate inflammation- and immune-mediated tumorigenesis in ccRCC.

Wearable strain sensor integrating mechanoluminescent fiber with a flexible printed circuit.

This paper reports an optical strain sensor that integrates a self-powered mechanoluminescent (ML) elastic fiber with a flexible circuit. The inclusion of an alumina nanoparticle as the additive results in seven-fold enhancement of ML intensity while maintaining flexibility of 120% strain. The sensor facilitates the detection of strain and stretching speed. It attains a sensitivity of 0.0022 lx/(1% strain) and a resolution of 0.2% strain, respectively. We have successfully applied it to detect bending motions of the finger, wrist, and elbow. This wearable strain sensor holds promise for diverse applications in wearable technology.

PDMS-embedded wearable FBG sensors for gesture recognition and communication assistance.

This study introduces fiber Bragg grating (FBG) sensors embedded in polydimethylsiloxane (PDMS) silicone elastomer specifically engineered for recognizing intricate gestures like wrist pitch, finger bending, and mouth movement. Sensors with different PDMS patch thicknesses underwent evaluation including thermal, tensile strain, and bending deformation characterization, demonstrating a stability of at least four months. Experiments revealed the FBG sensors' accurate wrist pitch recognition across participants after calibration, confirmed by statistical metrics and Bland-Altman plots. Utilizing finger and mouth movements, the developed system shows promise in assisting post-stroke patients and individuals with disabilities, enhancing their interaction capabilities with the external surroundings.

Portable optical fiber biosensors integrated with smartphone: technologies, applications, and challenges [Invited].

The increasing demand for individualized health monitoring and diagnostics has prompted considerable research into the integration of portable optical fiber biosensors integrated with smartphones. By capitalizing on the benefits offered by optical fibers, these biosensors enable qualitative and quantitative biosensing across a wide range of applications. The integration of these sensors with smartphones, which possess advanced computational power and versatile sensing capabilities, addresses the increasing need for portable and rapid sensing solutions. This extensive evaluation thoroughly examines the domain of optical fiber biosensors in conjunction with smartphones, including hardware complexities, sensing approaches, and integration methods. Additionally, it explores a wide range of applications, including physiological and chemical biosensing. Furthermore, the review provides an analysis of the challenges that have been identified in this rapidly evolving area of research and concludes with relevant suggestions for the progression of the field.

Advances in chemical removal and degradation technologies for microplastics in the aquatic environment: A review.

In recent years, global attention has been extensively focused on the water pollution and health risks caused by microplastics(MPs), thereby making the treatment of microplastics a key area of research. Chemical removal and degradation present effective approaches to addressing this issue. Consequently, this review summarizes the latest research advancements in the chemical removal and degradation of microplastics in water, comparing the treatment efficacy and advantages and disadvantages of various removal/degradation techniques. It elucidates the chemical mechanisms underlying the removal/degradation of microplastics and identifies the primary influencing factors during the treatment process. A systematic analysis of the performance of microplastic treatment technologies is conducted, examining the impact of microplastic characteristics, operational conditions, and other parameters on the effectiveness of microplastic treatment.