bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanistic insights into C-C coupling in electrochemical CO reduction using gold superlattices
Authors: Yang Xiaoju , Rong Chao , Zhang Li , Ye Zhenkun , Wei Zhiming , Huang Chengdi , Zhang Qiao , Yuan Qing , Zhai Yueming , Xuan Fu-Zhen , Xu Bingjun , Zhang Bowei , Yang Xuan 
Published: January 2024

AbstractDeveloping in situ/operando spectroscopic techniques with high sensitivity and reproducibility is of great importance for mechanistic investigations of surface-mediated electrochemical reactions. Herein, we report the fabrication of highly ordered rhombic gold nanocube superlattices (GNSs) as substrates for surface-enhanced infrared absorption spectroscopy (SEIRAS) with significantly enhanced SEIRA effect, which can be controlled by manipulating the randomness of GNSs. Finite difference time domain simulations reveal that the electromagnetic effect accounts for the significantly improved spectroscopic vibrations on the GNSs. In situ SEIRAS results show that the vibrations of CO on the Cu2O surfaces have been enhanced by 2.4 ± 0.5 and 18.0 ± 1.3 times using GNSs as substrates compared to those on traditional chemically deposited gold films in acidic and neutral electrolytes, respectively. Combined with isotopic labeling experiments, the reaction mechanisms for C-C coupling of CO electroreduction on Cu-based catalysts are revealed using the GNSs substrates.
Low-k nano-dielectrics facilitate electric-field induced phase transition in high-k ferroelectric polymers for sustainable electrocaloric refrigeration
Authors: Li Qiang , Wei Luqi , Zhong Ni , Shi Xiaoming , Han Donglin , Zheng Shanyu , Du Feihong , Shi Junye , Chen Jiangping , Huang Houbing , Duan Chungang , Qian Xiaoshi 
Published: January 2024

AbstractFerroelectric polymer-based electrocaloric effect may lead to sustainable heat pumps and refrigeration owing to the large electrocaloric-induced entropy changes, flexible, lightweight and zero-global warming potential. Herein, low-k nanodiamonds are served as extrinsic dielectric fillers to fabricate polymeric nanocomposites for electrocaloric refrigeration. As low-k nanofillers are naturally polar-inactive, hence they have been widely applied for consolidate electrical stability in dielectrics. Interestingly, we observe that the nanodiamonds markedly enhances the electrocaloric effect in relaxor ferroelectrics. Compared with their high-k counterparts that have been extensively studied in the field of electrocaloric nanocomposites, the nanodiamonds introduces the highest volumetric electrocaloric enhancement (~23%/vol%). The resulting polymeric nanocomposite exhibits concurrently improved electrocaloric effect (160%), thermal conductivity (175%) and electrical stability (125%), which allow a fluid-solid coupling-based electrocaloric refrigerator to exhibit an improved coefficient of performance from 0.8 to 5.3 (660%) while maintaining high cooling power (over 240 W) at a temperature span of 10 K.
Giant tunnelling electroresistance in atomic-scale ferroelectric tunnel junctions
Authors: Jia Yueyang , Yang Qianqian , Fang Yue-Wen , Lu Yue , Xie Maosong , Wei Jianyong , Tian Jianjun , Zhang Linxing , Yang Rui 
Published: January 2024

AbstractFerroelectric tunnel junctions are promising towards high-reliability and low-power non-volatile memories and computing devices. Yet it is challenging to maintain a high tunnelling electroresistance when the ferroelectric layer is thinned down towards atomic scale because of the ferroelectric structural instability and large depolarization field. Here we report ferroelectric tunnel junctions based on samarium-substituted layered bismuth oxide, which can maintain tunnelling electroresistance of 7 × 105with the samarium-substituted bismuth oxide film down to one nanometer, three orders of magnitude higher than previous reports with such thickness, owing to efficient barrier modulation by the large ferroelectric polarization. These ferroelectric tunnel junctions demonstrate up to 32 resistance states without any write-verify technique, high endurance (over 5 × 109), high linearity of conductance modulation, and long retention time (10 years). Furthermore, tunnelling electroresistance over 109is achieved in ferroelectric tunnel junctions with 4.6-nanometer samarium-substituted bismuth oxide layer, which is higher than commercial flash memories. The results show high potential towards multi-level and reliable non-volatile memories.
Robust multiferroic in interfacial modulation synthesized wafer-scale one-unit-cell of chromium sulfide
Authors: Song Luying , Zhao Ying , Xu Bingqian , Du Ruofan , Li Hui , Feng Wang , Yang Junbo , Li Xiaohui , Liu Zijia , Wen Xia , Peng Yanan , Wang Yuzhu , Sun Hang , Huang Ling , Jiang Yulin , Cai Yao , Jiang Xue , Shi Jianping , He Jun 
Published: January 2024

AbstractMultiferroic materials offer a promising avenue for manipulating digital information by leveraging the cross-coupling between ferroelectric and ferromagnetic orders. Despite the ferroelectricity has been uncovered by ion displacement or interlayer-sliding, one-unit-cell of multiferroic materials design and wafer-scale synthesis have yet to be realized. Here we develope an interface modulated strategy to grow 1-inch one-unit-cell of non-layered chromium sulfide with unidirectional orientation on industry-compatible c-plane sapphire. The interfacial interaction between chromium sulfide and substrate induces the intralayer-sliding of self-intercalated chromium atoms and breaks the space reversal symmetry. As a result, robust room-temperature ferroelectricity (retaining more than one month) emerges in one-unit-cell of chromium sulfide with ultrahigh remanent polarization. Besides, long-range ferromagnetic order is discovered with the Curie temperature approaching 200 K, almost two times higher than that of bulk counterpart. In parallel, the magnetoelectric coupling is certified and which makes 1-inch one-unit-cell of chromium sulfide the largest and thinnest multiferroics.
Rapid and visual identification of β-lactamase subtypes for precision antibiotic therapy
Authors: Li Wenshuai , Li Jingqi , Xu Hua , Gao Hongmei , Liu Dingbin 
Published: January 2024

AbstractThe abuse of antibiotics urgently requires rapid identification of drug-resistant bacteria at the point of care (POC). Here we report a visual paper sensor that allows rapid (0.25-3 h) discrimination of the subtypes of β-lactamase (the major cause of bacterial resistance) for precision antibiotic therapy. The sensor exhibits high performance in identifying antibiotic-resistant bacteria with 100 real samples from patients with diverse bacterial infections, demonstrating 100% clinical sensitivity and specificity. Further, this sensor can enhance the accuracy of antibiotic use from 48% empirically to 83%, and further from 50.6% to 97.6% after eliminating fungal infection cases. Our work provides a POC testing platform for guiding effective management of bacterial infections in both hospital and community settings.
Machine learning potential assisted exploration of complex defect potential energy surfaces
Authors: Jiang Chao , Marianetti Chris A. , Khafizov Marat , Hurley David H. 
Published: January 2024

AbstractAtomic-scale defects generated in materials under both equilibrium and irradiation conditions can significantly impact their physical and mechanical properties. Unraveling the energetically most favorable ground-state configurations of these defects is an important step towards the fundamental understanding of their influence on the performance of materials ranging from photovoltaics to advanced nuclear fuels. Here, using fluorite-structured thorium dioxide (ThO2) as an exemplar, we demonstrate how density functional theory and machine learning interatomic potential can be synergistically combined into a powerful tool that enables exhaustive exploration of the large configuration spaces of small point defect clusters. Our study leads to several unexpected discoveries, including defect polymorphism and ground-state structures that defy our physical intuitions. Possible physical origins of these unexpected findings are elucidated using a local cluster expansion model developed in this work.
Mosquitoes provide a transmission route between possums and humans for Buruli ulcer in southeastern Australia
Authors: Mee Peter T. , Buultjens Andrew H. , Oliver Jane , Brown Karen , Crowder Jodie C. , Porter Jessica L. , Hobbs Emma C. , Judd Louise M. , Taiaroa George , Puttharak Natsuda , Williamson Deborah A. , Blasdell Kim R. , Tay Ee Laine , Feldman Rebecca , Muzari Mutizwa Odwell , Sanders Chris , Larsen Stuart , Crouch Simon R. , Johnson Paul D. R. , Wallace John R. , Price David J. , Hoffmann Ary A. , Gibney Katherine B. , Stinear Timothy P. , Lynch Stacey E. 
Published: January 2024

AbstractBuruli ulcer, a chronic subcutaneous infection caused by Mycobacterium ulcerans, is increasing in prevalence in southeastern Australia. Possums are a local wildlife reservoir for M. ulcerans and, although mosquitoes have been implicated in transmission, it remains unclear how humans acquire infection. We conducted extensive field survey analyses of M. ulcerans prevalence among mosquitoes in the Mornington Peninsula region of southeastern Australia. PCR screening of trapped mosquitoes revealed a significant association between M. ulcerans and Aedes notoscriptus. Spatial scanning statistics revealed overlap between clusters of M. ulcerans-positive Ae. notoscriptus, M. ulcerans-positive possum excreta and Buruli ulcer cases, and metabarcoding analyses showed individual mosquitoes had fed on humans and possums. Bacterial genomic analysis confirmed shared single-nucleotide-polymorphism profiles for M. ulcerans detected in mosquitoes, possum excreta and humans. These findings indicate Ae. notoscriptus probably transmit M. ulcerans in southeastern Australia and highlight mosquito control as a Buruli ulcer prevention measure.
High frequency Lunar Penetrating Radar quality control, editing and processing of Chang’E-4 lunar mission
Authors: Roncoroni G. , Forte E. , Santin I. , Černok A. , Rajšić A. , Frigeri A. , Pipan M. 
Published: January 2024

AbstractChinese lunar landing mission Chang’E-4 reached the far side of the Moon in January 2019 and has been providing unprecedented Lunar Penetrating Radar data able to explore the lunar subsurface down to more than 40 m (with its more resolutive high frequency band). Data are periodically released to the scientific community in raw PDS4 format. Here we provide different versions of the radar dataset after editing (i.e. pre-processing), partial, and full processing in order to provide a complete ready-to-use dataset to end-users (data collected since 4th January 2019 until 27th March 2023) which can be directly exploited for analysis, interpretation, inversion, as well as integration with imagery or other information. In particular, we implemented an efficient and objective way to remove duplicated traces representing more than 90% of original data, as well as a processing flow able to retain all the original data information, while avoiding redundancies. The provided datasets can be implemented with future data releases and straightforwardly exploited for any future analysis.
Chromosome-level genome assembly of the giant ladybug Megalocaria dilatata
Authors: Pu De-Qiang , Wu Xing-Long , Chen Zhi-Teng , Wei Shu-Jun , Cai Peng , Liu Hong-Ling 
Published: January 2024

AbstractThe giant ladybugMegalocaria dilatata(Fabricius) is a potential biocontrol agent and a valuable model for coccinellid genomics and evolutionary biology. However, the lack of a reference genome forM. dilatatahas impeded further explorations into its evolution and constrained its use in pest management. Here, we assembled and annotated a high-quality, chromosome-level genome ofM. dilatata. The resulting assembly spans 772.3 Mb, with a scaffold N50 of 72.48 Mb and a GC content of 34.23%. The Hi-C data aided in anchoring the assembly onto 10 chromosomes ranging from 43.35 to 108.16 Mb. We identified 493.33 Mb of repeat sequences, accounting for 63.88% of the assembled genome. Our gene prediction identified 25,346 genes, with 81.89% annotated in public protein databases. The genome data will provide a valuable resource for studying the biology and evolution of Coccinellidae, aiding in pest control strategies and advancing research in the field.
A meta-analysis of sutureless scleral-fixated intraocular lens versus retropupillary iris claw intraocular lens for the management of aphakia
Authors: Chang Yu-Min , Weng Tzu-Heng , Tai Ming-Cheng , Chen Yi-Hao , Lee Cho-Hao , Chang Wei-Cheng , Hsieh Meng-Wei , Chien Ke-Hung 
Published: January 2024

AbstractThis study compared the visual outcomes and complications between sutureless scleral-fixated intraocular lens and iris claw intraocular lens implantation in aphakia without adequate capsule and/or zonule support. Studies comparing the clinical outcomes of scleral-fixated intraocular lens and iris claw intraocular lens implantation published until April 2022 were retrieved from the PubMed, EMBASE, Cochrane Library, and Google Scholar databases. The outcomes included postoperative final visual acuity, surgical time, surgery-induced astigmatism, and complications. The weighted mean difference and odds ratio were calculated. Two randomized controlled trials and five cohort studies, including 244 and 290 eyes in the scleral-fixated intraocular lens group and iris claw group, respectively, were included. Scleral-fixated intraocular lens implantation results in a better postoperative final corrected distance visual acuity compared with iris claw intraocular lens implantation; however, it is more time-consuming. Scleral-fixated intraocular lens implantation seems to have lesser incidences of surgery-induced astigmatism. Furthermore, both procedures have a similar complication rate. Therefore, based on current best evidence, these two procedures should be considered according to patient’s conditions.
The prognostic value of radiological and pathological lymph node status in patients with cervical cancer who underwent neoadjuvant chemotherapy and followed hysterectomy
Authors: Lou Jianghua , Zhang Xiaoxian , Liu Jinjin , Dong Linxiao , Wu Qingxia , Yan LiangLiang , Xu Chunmiao , Wu Qingxia , Wang Meiyun 
Published: January 2024

AbstractTo investigate the prognostic value of lymph node status in patients with cervical cancer (CC) patients who underwent neoadjuvant chemotherapy (NACT) and followed hysterectomy. Patients in two referral centers were retrospectively analyzed. The baseline tumor size and radiological lymph node status (LNr) were evaluated on pre-NACT MRI. Tumor histology, differentiation and pathological lymph node status (LNp) were obtained from post-operative specimen. The log-rank test was used to compare survival between patient groups. Cox proportional hazards regression models were employed to estimate the hazard ratio (HR) of various factors with progression-free survival (PFS) and overall survival (OS). A total of 266 patients were included. Patients with 2018 FIGO IIIC showed worse PFS compared to those with FIGO IB-IIB (p < 0.001). The response rate in patients with LNp(−) was 64.1% (134/209), significantly higher than that of 45.6% (26/57) in patients with LNp( +) (p = 0.011). Multivariate Cox analysis identified the main independent predictors of PFS as LNp( +) (HR = 3.777; 95% CI 1.715–8.319), non-SCC (HR = 2.956; 95% CI 1.297–6.736), poor differentiation (HR = 2.370; 95% CI 1.130–4.970) and adjuvant radiation (HR = 3.266; 95% CI 1.183–9.019). The interaction between LNr and LNp regarding PFS were significant both for univariate and multivariate (P = 0.000171 and 1.5357e−7 respectively). In patients with LNr( +), a significant difference in PFS was observed between patients with LNp(−) and LNp( +) (p = 0.0027). CC patients with FIGO 2018 stage IIIC who underwent NACT and followed hysterectomy had worse PFS compared to those with IB-IIB. LNp( +), non-SCC, poor differentiation and adjuvant radiation were independent risk factors for PFS. The adverse prognostic value of LNp( +) was more significant in patients with LNr( +).
Green technology advancement, energy input share and carbon emission trend studies
Authors: Liu YuXin , Lei Ping , Shen BingYang , He Dayi 
Published: January 2024

AbstractIn order to study the theoretical mechanism of the impact of green technology progress on carbon emissions, this article constructs a theoretical mechanism of the impact of green technology progress on carbon emission growth. Explore the conditions for achieving carbon peak and carbon reduction. Based on the Cobb Douglas production function, construct a three sector model that includes capital, labor, and energy. Empirical methods were used to analyze the quantitative impact of green technology progress on carbon emission growth and the moderating effect of energy input share. This study mainly used provincial panel data from 1995 to 2020. Calculate carbon dioxide emissions based on energy consumption and carbon dioxide emission coefficients of various energy sources in different regions. Using the perpetual inventory method to calculate capital growth rate, green computing progress rate, etc., to provide data support for the green technology carbon reduction model. Empirical analysis of the impact of green technology progress on carbon emissions using the FGLS panel model. Theoretical and empirical analyses show that green technological progress promotes an increase in the carbon emission growth rate through the scale effect, with an impact coefficient of 0.607; it promotes a decrease in the carbon emission growth rate through the technological effect, with an impact coefficient of − 0.667; the combined effect promotes a decrease in growth rate of carbon emissions, with an impact coefficient of − 0.06. The share of energy inputs has a positive regulating effect on the scale effect.
Identifying top ten predictors of type 2 diabetes through machine learning analysis of UK Biobank data
Authors: Lugner Moa , Rawshani Araz , Helleryd Edvin , Eliasson Björn 
Published: January 2024

AbstractThe study aimed to identify the most predictive factors for the development of type 2 diabetes. Using an XGboost classification model, we projected type 2 diabetes incidence over a 10-year horizon. We deliberately minimized the selection of baseline factors to fully exploit the rich dataset from the UK Biobank. The predictive value of features was assessed using shap values, with model performance evaluated via Receiver Operating Characteristic Area Under the Curve, sensitivity, and specificity. Data from the UK Biobank, encompassing a vast population with comprehensive demographic and health data, was employed. The study enrolled 450,000 participants aged 40–69, excluding those with pre-existing diabetes. Among 448,277 participants, 12,148 developed type 2 diabetes within a decade. HbA1c emerged as the foremost predictor, followed by BMI, waist circumference, blood glucose, family history of diabetes, gamma-glutamyl transferase, waist-hip ratio, HDL cholesterol, age, and urate. Our XGboost model achieved a Receiver Operating Characteristic Area Under the Curve of 0.9 for 10-year type 2 diabetes prediction, with a reduced 10-feature model achieving 0.88. Easily measurable biological factors surpassed traditional risk factors like diet, physical activity, and socioeconomic status in predicting type 2 diabetes. Furthermore, high prediction accuracy could be maintained using just the top 10 biological factors, with additional ones offering marginal improvements. These findings underscore the significance of biological markers in type 2 diabetes prediction.
Impact of metformin on cardiovascular and kidney outcome based on kidney function status in type 2 diabetic patients: a multicentric, retrospective cohort study
Authors: Yi Yongjin , Kwon Eun-Jeong , Yun Giae , Park Seokwoo , Jeong Jong Cheol , Na Ki Young , Chin Ho Jun , Yoo Sooyoung , Kim Seok , Oh Tae Jung , Kim Sejoong , Jung Chang Hee , Lee Hajeong 
Published: January 2024

AbstractMetformin is the primary treatment for type 2 diabetes mellitus (T2DM) due to its effectiveness in improving clinical outcomes in patients with preserved renal function, however, the evidence on the effectiveness of metformin in various renal functions is lacking. We performed a retrospective, multicenter, observational study used data of patients with T2DM obtained from three tertiary hospitals’ databases. Patients given metformin within run-in periods and with at least one additional prescription formed the metformin cohort. A control cohort comprised those prescribed oral hypoglycemic agents other than metformin and never subsequently received a metformin prescription within observation period. For patients without diabetic nephropathy (DN), the outcomes included events of DN, major adverse cardiovascular events (MACE), and major adverse kidney events (MAKE). After 1:1 propensity matching, 1994 individuals each were selected for the metformin and control cohorts among T2DM patients without baseline DN. The incidence rate ratios (IRR) for DN, MACEs, and MAKEs between cohorts were 1.06 (95% CI 0.96–1.17), 0.76 (0.64–0.92), and 0.45 (0.33–0.62), respectively. In cohorts with renal function of CKD 3A, 3B, and 4, summarized IRRs of MACEs and MAKEs were 0.70 (0.57–0.87) and 0.39 (0.35–0.43) in CKD 3A, 0.83 (0.74–0.93) and 0.44 (0.40–0.48) in CKD 3B, and 0.71 (0.60–0.85) and 0.45 (0.39–0.51) in CKD 4. Our research indicates that metformin use in T2DM patients across various renal functions consistently correlates with a decreased risk of overt DN, MACE, and MAKE.
Carbon quantum dots with honeycomb structure: a novel synthesis approach utilizing cigarette smoke precursors
Authors: Setianto Setianto , Men Liu Kin , Bahtiar Ayi , Panatarani Camellia , Joni I Made 
Published: January 2024

AbstractThis study presents a novel approach to synthesizing honeycomb carbon quantum dots (CQDs) from cigarette smoke by a hydrothermal process. A comprehensive characterization of these CQDs, conducted through high-resolution transmission electron microscopy (HRTEM), showcases their unique honeycomb structure, with an average particle size of 6.3 nm. Photoluminescence (PL) in CQDs is a captivating phenomenon where these nanoscale carbon structures emit strong blue luminescence at 461 nm upon exposure to ultraviolet light, with their excitation peak occurring at 380 nm. Fourier Transform Infrared (FTIR) analysis also identifies specific functional groups within the CQDs, offering valuable insights into the mechanisms governing their photoluminescence. Analysis of excitation spectra indicates the presence of both aromatic C=C bonds at 254 nm and C–O bonds from 280 to 420 nm.