bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Manufacture of Radiosonde Based on Arduino Pro Mini Using BME280 Sensor
Authors: Sari Ida Pertiwi , Gunawan Anak Agung Ngurah , Wibawa I. Made Satriya , Putra I. Ketut , Yusuf Mahmud 
Published: November 2022

Aims: To produce low-cost Radiosonde instruments with high accuracy, which are expected to be used as a reference in developing upper aerial observation instruments so as to reduce observation costs
Study Design: Design of Radiosonde Based on Arduino Pro Mini Using BME280 Sensor.
Place and Duration of Study: Department of Physics, Udayana University, and Indonesian Agency of Meteorology, Climatology, and Geophysics (BMKG), Region-III Badung, between June 2022 and August 2022.
Methodology: Calibration is done by comparing the output value of the BME280 sensor and the BMKG calibration standard tool. The calibrated parameters are temperature, humidity, and air pressure. The relationship between the measurement value of the design tool and the standard tool is determined by the linear regression method to obtain the correction equation.
Results: Radiosonde instruments based on Arduino Pro Mini using the BME280 sensor have been produced. The measurement accuracy obtained for the temperature parameter is 99.9968% with uncertainty (U95) of ±0.18ºC, the humidity parameter is 99.296% with uncertainty (U95) of ±2.9%RH, the air pressure parameter is 99.99998% with uncertainty (U95) of ±0.15 hPa. The accuracy value indicates that the resulting tool has a good level of accuracy to the standard tool.
Conclusion: In this research, has been produced a Radiosonde instruments at a low-cost with high accuracy and precision, which have been calibrated with BMKG standard tools.
Analysis of MRE11 and Mortality Among Adults With Muscle-Invasive Bladder Cancer Managed With Trimodality Therapy
Authors: Magliocco Anthony M. , Moughan Jennifer , Miyamoto David T. , Simko Jeff , Shipley William U. , Gray Phillip J. , Hagan Michael P. , Parliament Matthew , Tester William J. , Zietman Anthony L. , McCarthy Susan , Saeed-Vafa Daryoush , Xiong Yin , Ayral Taylor , Hartford Alan C. , Patel Ashish , Rosenthal Seth A. , Chafe Susan , Greenberg Richard , Schwartz Michael A. , Augspurger Mark E. , Keech John A. , Winter Kathryn A. , Feng Felix Y. , Efstathiou Jason A. 
Published: November 2022

ImportanceBladder-preserving trimodality therapy can be an effective alternative to radical cystectomy for treatment of muscle-invasive bladder cancer (MIBC), but biomarkers are needed to guide optimal patient selection. The DNA repair protein MRE11 is a candidate response biomarker that has not been validated in prospective cohorts using standardized measurement approaches.ObjectiveTo evaluate MRE11 expression as a prognostic biomarker in MIBC patients receiving trimodality therapy using automated quantitative image analysis.Design, Setting, and ParticipantsThis prognostic study analyzed patients with MIBC pooled from 6 prospective phase I/II, II, or III trials of trimodality therapy (Radiation Therapy Oncology Group [RTOG] 8802, 8903, 9506, 9706, 9906, and 0233) across 37 participating institutions in North America from 1988 to 2007. Eligible patients had nonmetastatic MIBC and were enrolled in 1 of the 6 trimodality therapy clinical trials. Analyses were completed August 2020.ExposuresTrimodality therapy with transurethral bladder tumor resection and cisplatin-based chemoradiation therapy.Main Outcomes and MeasuresMRE11 expression and association with disease-specific (bladder cancer) mortality (DSM), defined as death from bladder cancer. Pretreatment tumor tissues were processed for immunofluorescence with anti-MRE11 antibody and analyzed using automated quantitative image analysis to calculate a normalized score for MRE11 based on nuclear-to-cytoplasmic (NC) signal ratio.ResultsOf 465 patients from 6 trials, 168 patients had available tissue, of which 135 were analyzable for MRE11 expression (median age of 65 years [minimum-maximum, 34-90 years]; 111 [82.2%] men). Median (minimum-maximum) follow-up for alive patients was 5.0 (0.6-11.7) years. Median (Q1-Q3) MRE11 NC signal ratio was 2.41 (1.49-3.34). Patients with an MRE11 NC ratio above 1.49 (ie, above first quartile) had a significantly lower DSM (HR, 0.50; 95% CI, 0.26-0.93;P = .03). The 4-year DSM was 41.0% (95% CI, 23.2%-58.0%) for patients with an MRE11 NC signal ratio of 1.49 or lower vs 21.0% (95% CI, 13.4%-29.8%) for a ratio above 1.49. MRE11 NC signal ratio was not significantly associated with overall survival (HR, 0.84; 95% CI, 0.49-1.44).Conclusions and RelevanceHigher MRE11 NC signal ratios were associated with better DSM after trimodality therapy. Lower MRE11 NC signal ratios identified a poor prognosis subgroup that may benefit from intensification of therapy.
KRAS inhibitors: going noncovalent
Authors: Drosten Matthias , Barbacid Mariano 
Published: November 2022

KRASG12D is the most frequent KRAS mutation in human cancer with particularly high frequencies in pancreatic and colorectal cancer. Informed by the structure of the KRASG12C inhibitor adagrasib, Hallin et al. have now, through multiple rounds of structure‐based drug design, identified and validated a potent, selective, and noncovalent KRASG12D inhibitor, MRTX1133. This study demonstrated that MRTX1133 inhibited both the inactive and active state of KRASG12D and showed potent antitumor activity in several preclinical models of pancreatic and colorectal cancer, especially when combined with cetuximab, a monoclonal antibody against the EGFR, or BYL‐719, a potent PI3Kα inhibitor.
Synergistic Engineering of Doping and Vacancy in Ni(OH)2 to Boost Urea Electrooxidation
Authors: Qin Hongye , Ye Yukun , Li Jinhong , Jia Wenqi , Zheng Siyu , Cao Xuejie , Lin Guangliang , Jiao Lifang 
Published: November 2022

AbstractNickel hydroxide (Ni(OH)2) has been identified as one of the best promising electrocatalyst candidates for urea oxidation reaction (UOR) due to its flexible structures, wide compositions, and abundant 3d electrons under alkaline conditions. However, its layered structure with limited exposed edge sites severely hinders further improvement of the UOR activity. Herein, oxygen‐vacancy rich and vanadium doped Ni(OH)2 (Ovac‐V‐Ni(OH)2) catalysts are prepared and synergistically boost the urea electrooxidation. Vanadium doping contributes more exposed active sites, and simultaneously generates oxygen vacancies, switching the rate‐determining step of UOR from *COOH deprotonation to the N–H bond cleavage process and lowering the thermodynamic barrier by around 1.13 eV. The novel Ovac‐V‐Ni(OH)2 demonstrates good electrocatalytic performances with a working potential of 1.47 V at a high current density of 100 mA cm−2. Synergistic engineering of doping and oxygen vacancy is a promising strategy for designing efficient UOR electrocatalysts.
High Entropy Approach to Engineer Strongly Correlated Functionalities in Manganites
Authors: Sarkar Abhishek , Wang Di , Kante Mohana V. , Eiselt Luis , Trouillet Vanessa , Iankevich Gleb , Zhao Zhibo , Bhattacharya Subramshu S. , Hahn Horst , Kruk Robert 
Published: November 2022

AbstractTechnologically relevant strongly correlated phenomena such as colossal magnetoresistance (CMR) and metal‐insulator transitions (MIT) exhibited by perovskite manganites are driven and enhanced by the coexistence of multiple competing magneto‐electronic phases. Such magneto‐electronic inhomogeneity is governed by the intrinsic lattice‐charge‐spin‐orbital correlations, which, in turn, are conventionally tailored in manganites via chemical substitution, charge doping, or strain engineering. Alternately, the recently discovered high entropy oxides (HEOs), owing to the presence of multiple‐principal cations on a given sub‐lattice, exhibit indications of an inherent magneto‐electronic phase separation encapsulated in a single crystallographic phase. Here, the high entropy (HE) concept is combined with standard property control by hole doping in a series of single‐phase orthorhombic HE‐manganites (HE‐Mn), (Gd0.25La0.25Nd0.25Sm0.25)1‐xSrxMnO3 (x = 0–0.5). High‐resolution transmission microscopy reveals hitherto‐unknown lattice imperfections in HEOs: twins, stacking faults, and missing planes. Magnetometry and electrical measurements infer three distinct ground states—insulating antiferromagnetic, unpercolated metallic ferromagnetic, and long‐range metallic ferromagnetic—coexisting or/and competing as a result of hole doping and multi‐cation complexity. Consequently, CMR ≈1550% stemming from an MIT is observed in polycrystalline pellets, matching the best‐known values for bulk conventional manganites. Hence, this initial case study highlights the potential for a synergetic development of strongly correlated oxides offered by the high entropy design approach.
New Method for Preparing ZnO Layer for Efficient and Stable Organic Solar Cells
Authors: Wang Yafei , Zheng Zhong , Wang Jianqiu , Liu Xiaoyu , Ren Junzhen , An Cunbin , Zhang Shaoqing , Hou Jianhui 
Published: November 2022

AbstractOwing to outstanding optoelectronic properties and simple preparation, zinc oxide (ZnO) has widely been used in organic solar cells (OSCs). Although versatile cathode interface materials have been designed in past, ZnO remains indispensable owing to its excellent overall performance. Therefore, solving the persistent problem of residual amine reacting with non‐fullerene acceptors will make ZnO superior over other materials, and thus improve the performance and energy budget of OSCs. Herein, a simple, effective, and economical method for removing residual amine in ZnO without distorting ZnO is reported. By accurately comparing the alkalinities of ZnO and residual amine, boric acid (BA) is selected as the amine‐removing agent because of its suitable acidic dissociation constant. Moreover, the high water solubility of BA ensures that the post‐cleaning process can be easily performed. The work function, electron extraction, and stability of cathode interface layer are optimized through rinsing them with BA. Consequently, the power conversion efficiency (PCE) and stability of OSCs under long‐term illumination are significantly improved. The optimal 0.04 and 1.00 cm2 single‐junction OSCs are based on PBDB‐TF:HDO‐4Cl:BTP‐eC9 bulk heterojunction output 18.40% and 17.42% efficiencies, respectively. Furthermore, tandem OSCs based on the BA‐treated ZnO exhibit a 19.56% PCE, demonstrating the reliability of this method.
Curved Nanofiber Network Induces Cellular Bridge Formation to Promote Stem Cell Mechanotransduction
Authors: Sun Qian , Pei Fang , Zhang Man , Zhang Bo , Jin Ying , Zhao Zhihe , Wei Qiang 
Published: November 2022

AbstractRemarkable exertions are directed to reveal and understand topographic cues that induce cell mechanical sensitive responses including lineage determination. Extracellular matrix (ECM) is the sophisticated ensemble of diverse factors offering the complicated cellular microenvironment to regulate cell behaviors. However, the functions of only a few of these factors are revealed; most of them are still poorly understood. Herein, the focus is on understanding the curved structure in ECM network for regulating stem cell mechanotransduction. A curved nanofiber network mimicking the curved structure in ECM is fabricated by an improved electrospinning technology. Compared with the straight fibers, the curved fibers promote cell bridge formation because of the cytoskeleton tension. The actomyosin filaments are condensed near the curved edge of the non‐adhesive bridge in the bridging cells, which generates higher myosin‐II‐based intracellular force. This force drives cell lineage commitment toward osteogenic differentiation. This study enriches and perfects the knowledge of the effects of topographic cues on cell behaviors and guides the development of novel biomaterials.
Precursor Chemistry Enables the Surface Ligand Control of PbS Quantum Dots for Efficient Photovoltaics
Authors: Wang Chao , Wang Yinglin , Jia Yuwen , Wang Hai , Li Xiaofei , Liu Shuai , Liu Xinlu , Zhu Hongbo , Wang Haiyu , Liu Yichun , Zhang Xintong 
Published: November 2022

AbstractThe surface ligand environment plays a dominant role in determining the physicochemical, optical, and electronic properties of colloidal quantum dots (CQDs). Specifically, the ligand‐related electronic traps are the main reason for the carrier nonradiative recombination and the energetic losses in colloidal quantum dot solar cells (CQDSCs), which are usually solved with numerous advanced ligand exchange reactions. However, the synthesis process, as the essential initial step to control the surface ligand environment of CQDs, has lagged behind these post‐synthesis ligand exchange reactions. The current PbS CQDs synthesis tactic generally uses lead oxide (PbO) as lead precursor, and thus suffers from the water byproducts issue increasing the surface‐hydroxyl ligands and aggravating trap‐induced recombination in the PbS CQDSCs. Herein, an organic‐Pb precursor, lead (II) acetylacetonate (Pb(acac)2), is used instead of a PbO precursor to avoid the adverse impact of water byproducts. Consequently, the Pb(acac)2 precursor successfully optimizes the surface ligands of PbS CQDs by reducing the hydroxyl ligands and increasing the iodine ligands with trap‐passivation ability. Finally, the Pb(acac)2‐based CQDSCs possess remarkably reduced trap states and suppressed nonradiative recombination, generating a certified record Voc of 0.652 V and a champion power conversion efficiency (PCE) of 11.48% with long‐term stability in planar heterojunction‐structure CQDSCs.
Farmer field school participation and exit decisions in hog production: A case study from Beijing
Authors: Cai Jinyang , Hong Yu , Zhou Meifang , Hu Ruifa , Ding Fengxiang 
Published: November 2022

AbstractThe worsening volatility in the domestic and global hog and pork markets is a cause of concern for China's producers and government, as well as the global market. Cyclical price fluctuations have been caused by domestic small‐ and medium‐scale farmers' frequent exits and re‐entries into the hog market, which may have been partly driven by information asymmetry and risk resistance. This study examines the impact of a farmer field school (FFS) program aiming to deliver information and services that may facilitate hog farmers' decision‐making. Using survey data collected from 226 hog farms in Beijing, we employ probit models to examine the exit decisions of hog farmers based on their FFS participation and its effect on hog farm size. We find evidence that FFS participation significantly reduces hog farmers' exit rates, and that this effect increases as farm scale decreases. The findings suggest that such a program may be an effective policy tool to support and improve the resilience of small‐ and medium‐scale hog farms, thereby alleviating the volatility in China's hog industry and those of other developing countries where small‐ and medium‐scale hog farms play an important role. [EconLit Citations: C21, D13, Q16, Q18].
Exploring links between pathogen avoidance motivation, COVID‐19 case counts, and immune function
Authors: Muehlenbein Michael P. , Gassen Jeffrey , Nowak Tomasz J. , Henderson Alexandria D. , Thum Edward , Weaver Sally P. , Baker Erich J. 
Published: November 2022

AbstractObjectivesThe selection pressures exerted by pathogens have played important roles in shaping the biology and behavior of animals, including humans. Immune systems recognize and respond to cues of infection or damage by coordinating cellular, humoral, and metabolic shifts that promote recovery. Moreover, animals also possess a repertoire of behavioral tools to help combat the threat of pathogens, often referred to as the behavioral immune system. Recently, researchers have begun to examine how cognitive, affective, and behavioral disease avoidance mechanisms interact with the biological immune system.MethodsThe present study explored relationships among individual differences in behavioral immune system activity (e.g., pathogen disgust), shifts in SARS‐CoV‐2 infection risk (i.e., 7‐day case averages), and immune function in a community cohort from McLennan County, Texas, USA (n = 387).ResultsLevels of disease concern were not consistently associated with immune markers. However, serum levels of IFN‐γ, TNF‐α, IL‐2, and IL‐8, as well as serum killing ability of Escherichia coli, each varied with case counts. Additional analyses found that case counts also predicted changes in stress physiology, but not subjective measures of distress. However, follow‐up mediation models did not provide evidence that relationships between case counts and immunological outcomes were mediated through levels of stress.ConclusionsThe present project provides initial evidence that markers of immune function may be sensitive to changes in infection risk during the COVID‐19 pandemic. This adds to the growing body of research finding relationships among behavioral and biological pathogen management mechanisms.
Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits
Authors: Akingbuwa Wonuola A. , Hammerschlag Anke R. , Allegrini Andrea G. , Sallis Hannah , Kuja‐Halkola Ralf , Rimfeld Kaili , Lichtenstein Paul , Lundstrom Sebastian , Munafò Marcus R. , Plomin Robert , Nivard Michel G. , Bartels Meike , Middeldorp Christel M. 
Published: November 2022

AbstractUbiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcomes. However, these analyses in general do not take into account the correlations between the adult trait and disorder polygenic risk scores. This study aimed to further clarify the influence of genetic factors on associations between childhood psychopathology and adult outcomes by accounting for these correlations. Using a multivariate multivariable regression, we analyzed associations of childhood attention‐deficit/hyperactivity disorder (ADHD), internalizing, and social problems, with polygenic scores (PGS) of adult disorders and traits including major depression, bipolar disorder, subjective well‐being, neuroticism, insomnia, educational attainment, and body mass index (BMI), derived for 20,539 children aged 8.5–10.5 years. After correcting for correlations between the adult phenotypes, major depression PGS were associated with all three childhood traits, that is, ADHD, internalizing, and social problems. In addition, BMI PGS were associated with ADHD symptoms and social problems, while neuroticism PGS were only associated with internalizing problems and educational attainment PGS were only associated with ADHD symptoms. PGS of bipolar disorder, subjective well‐being, and insomnia were not associated with any childhood traits. Our findings suggest that associations between childhood psychopathology and adult traits like insomnia and subjective well‐being may be primarily driven by genetic factors that influence adult major depression. Additionally, specific childhood phenotypes are genetically associated with educational attainment, BMI and neuroticism.
Reduction of Na+ within a {Mg2Na2} Assembly
Authors: Liu Han‐Ying , Neale Samuel E. , Hill Michael S. , Mahon Mary F. , McMullin Claire L. , Richards Emma 
Published: November 2022

AbstractIonic compounds containing sodium cations are notable for their stability and resistance to redox reactivity unless highly reducing electrical potentials are applied. Here we report that treatment of a low oxidation state {Mg2Na2} species with non‐reducible organic bases induces the spontaneous and completely selective extrusion of sodium metal and oxidation of the MgI centers to the more conventional MgII state. Although these processes are also characterized by a structural reorganisation of the initially chelated diamide spectator ligand, computational quantum chemical studies indicate that intramolecular electron transfer is abetted by the frontier molecular orbitals (HOMO/LUMO) of the {Mg2Na2} ensemble, which arise exclusively from the 3s valence atomic orbitals of the constituent sodium and magnesium atoms.
An Enzymatically Gated Catalytic Hairpin Assembly Delivered by Lipid Nanoparticles for the Tumor‐Specific Activation of Signal Amplification in miRNA Imaging
Authors: Liu Qing , Huang Yuanyu , Li Zhengping , Li Lele , Zhao Yuliang , Li Mengyuan 
Published: November 2022

AbstractMicroRNA (miRNA) imaging in disease sites is vital to elucidate their role in cancer progression. However, limited tumor specificity remains a major barrier for traditional amplification approaches due to associated background signal leakage. Here, we report a generalizable approach via the combination of enzymatically triggered catalytic hairpin assembly with lipid nanoparticles (LNPs)‐based delivery strategy for tumor‐specific activation of signal amplification and therefore sensitive miRNA imaging. The signal amplification is established via engineering of traditional catalytic hairpin assembly with enzymatically activated motifs to achieve triggable miRNA imaging in cancer cells. Furthermore, by the introduction of LNPs to combat biological barriers, we demonstrate that the system enables amplified miRNA imaging in vivo with reduced off‐tumor signal, leading to enhanced tumor‐to‐background contrast compared with traditional methods. This approach that relies on specific triggers and controlled delivery to distinguish miRNA in cancer cells from normal cells should be useful in tumor diagnosis.
Aggregation of Electrochemically Active Conjugated Organic Molecules and Its Impact on Aqueous Organic Redox Flow Batteries
Authors: Xiang Zhipeng , Li Wenjin , Wan Kai , Fu Zhiyong , Liang Zhenxing 
Published: November 2022

AbstractMolecule aggregation in solution is acknowledged to be universal and can regulate the molecule's physiochemical properties, which however has been rarely investigated in electrochemistry. Herein, an electrochemical method is developed to quantitatively study the aggregation behavior of the target molecule methyl viologen dichloride. It is found that the oxidation state dicationic ions stay discrete, while the singly‐reduced state monoradicals yield a concentration‐dependent aggregation behavior. As a result, the molecule's energy level and its redox potential can be effectively regulated. This work does not only provide a method to investigate the molecular aggregation, but also demonstrates the feasibility to tune redox flow battery's performance by regulating the aggregation behavior.