bluuebunny/crossref_metadata_2025_split huggingface dataset:
Laser‐Based Micro/Nano‐Processing Techniques for Microscale LEDs and Full‐Color Displays
Authors: Gong Yanfen , Gong Zheng 
Published: November 2022

AbstractMicro light‐emitting diode (Micro‐LED) display is an emerging display technology thanks to its high brightness, fast switching speed, and low power consumption. The commercialization of this technique is being explored by developing advanced processing techniques on an industrial scale. Recent ground‐breaking advances in the manufacture of Micro‐LEDs are mainly based on powerful laser micro/nano‐processing techniques with the unique ability to fabricate materials, structures and devices with the advantages of non‐contacting processing, high efficiency, adjustable coverage from micro‐ to macroscale and the compatibility with organic and inorganic materials. This paper categorizes, reviews and analyzes the main challenges and technical solutions in the Micro‐LED displays by various laser manufacturing processes, covering chip dicing, geometry shaping, laser annealing, laser lift‐off (LLO), laser‐based Micro‐LED transfer, laser‐assist bonding (LAB) and laser repair. The fundamental principles of these techniques are discussed along with their basic mechanisms, followed by an exploration of the latest progress in the field. Finally, a detailed analysis of the advantages and disadvantages of these techniques is given, and the future research directions of laser techniques in Micro‐LED display are discussed.
Promoting near‐infrared II fluorescence efficiency by blocking long‐range energy migration
Authors: Ou Changjin , An Lei , Zhao Ziqi , Gao Fan , Zheng Liangyu , Xu Chao , Zhang Kang , Shao Jinjun , Xie Linghai , Dong Xiaochen 
Published: November 2022

AbstractGenerally, long wavelength absorbed near‐infrared II (NIR‐II) dyes have a low fluorescence efficiency in aggregate states for aggregate‐caused quenching effect, simultaneously enhancing efficiency and extending absorption is a challenging issue for NIR‐II dyes. Here, three benzo[1,2‐c:4,5‐c']bis[1,2,5]thiadiazole (BBT) derivatives (TPA‐BBT, FT‐BBT, and BTBT‐BBT) are used to clarify fluorescence quenching mechanisms. When the BBT derivatives are doped into a small molecule matrix, they show quite different fluorescence behaviors. Structure‐distorted TPA‐BBT displays fluorescence quenching originating from short‐range exchange interaction, while FT‐BBT and BTBT‐BBT with a co‐planar‐conjugated backbone exhibit concentration‐dependent quenching processes, namely changing from long‐range dipole‐dipole interaction to exchange interaction, which could be majorly ascribed to large spectral overlap between absorption and emission. By precisely tuning doping concentration, both FT‐BBT and BTBT‐BBT nanoparticles (NPs) present the optimal NIR‐II fluorescence brightness at ∼2.5 wt% doping concentration. The doped NPs have good biocompatibility and could be served as fluorescence contrast agents for vascular imaging with a high resolution under 980‐nm laser excitation. Those paradigms evidence that molecular doping can promote fluorescence efficiency of long wavelength‐absorbed NIR‐II fluorophores via suppressing long‐range energy migration.
Targeting climate‐neutral hydrogen production: Integrating brown and blue pathways with green hydrogen infrastructure via a novel superstructure and simulation‐based life cycle optimization
Authors: Lal Apoorv , You Fengqi 
Published: November 2022

AbstractThis article addresses the sustainable design of hydrogen (H2) production systems that integrate brown and blue pathways with green hydrogen infrastructure. We develop a systematic framework to simultaneously optimize the process superstructure and operating conditions of steam methane reforming (SMR)‐based hydrogen production systems. A comprehensive superstructure that integrates SMR with multiple carbon dioxide capture technologies, electrolyzers, fuel cells, and working fluids in the organic rankine cycle is proposed under varying operating conditions. A life cycle optimization model is then developed by integrating superstructure optimization, life cycle assessment approach, techno‐economic assessment, and process optimization using extensive process simulation models and formulated as a mixed‐integer nonlinear program. We find that the optimal unit‐levelized cost of hydrogen ranges from $1.49 to $3.18 per kg H2. Moreover, the most environmentally friendly process attains net‐zero life cycle greenhouse gas emissions compared to 10.55 kg CO2‐eq per kg H2 for the most economically competitive process design.
Asymmetric bipolar membrane electrodialysis for acid and base production
Authors: Fu Rong , Wang Huangying , Yan Junying , Li Ruirui , Jiang Chenxiao , Wang Yaoming , Xu Tongwen 
Published: November 2022

AbstractBipolar membrane electrodialysis (BMED) is a promising technique for upgrading traditional manufacturing procedures and achieving a circular economy. However, the industrial applications of BMED technology have been restricted by the large consumption of expensive bipolar membranes and the unmatching behavior between water splitting and ion migration. Herein, we proposed a novel asymmetric bipolar membrane electrodialysis (ABMED) to regulate the water splitting in the bipolar membrane and orientational ion migration in the electrodialysis (ED). It was found that the ABMED exhibited comparable performances to BMED for acid/base production when the area of the bipolar membrane was reduced to 50% of the monopolar membrane. The total process cost of ABMED was 0.78 $/kg NaOH, which is 21% lower than the BMED process. The asymmetric membrane design was capable to boost the water splitting in the bipolar membrane and to eliminate the concentration polarization in the ED process.
18‐year follow‐up of enzyme‐replacement therapy in two siblings with attenuated mucopolysaccharidosis I
Authors: Pjetraj Dorina , Santoro Lucia , Sgattoni Claudia , Padella Lucia , Zampini Lucia , Monachesi Chiara , Gabrielli Orazio , Catassi Carlo 
Published: November 2022

AbstractMucopolysaccharidosis type I (MPS I) is an autosomal recessive disorder caused by the deficiency of α‐L‐iduronidase and characterized by a progressive course with multisystem involvement. Clinically, MPS I is divided into two forms: (1) severe (Hurler syndrome), which presents in infancy and is characterized by rapid progressive neurological involvement; (2) attenuated (Hurler/Scheie and Scheie syndromes), which displays a slower progression and absent to mild nervous system involvement. The specific treatment for attenuated MPS I consists of enzyme‐replacement therapy with laronidase (human recombinant α‐L‐iduronidase, Aldurazyme). We present updated data after 18 years of laronidase treatment in two siblings affected by the attenuated form of MPS I who started therapy at 5 months and 5 years of age, respectively. Clinical and laboratory data of the siblings show that long‐term enzyme replacement therapy may improve/stabilize many symptoms already present at the time of the diagnosis and reduce the disease progression. This study confirms that early diagnosis and early initiation of enzyme‐replacement therapy are essential to modify positively the natural history of the attenuated form of MPS I.
High‐Capacity Zinc Anode with 96 % Utilization Rate Enabled by Solvation Structure Design
Authors: Wang Mingming , Ma Jiale , Meng Yahan , Sun Jifei , Yuan Yuan , Chuai Mingyan , Chen Na , Xu Yan , Zheng Xinhua , Li Zhenyu , Chen Wei 
Published: November 2022

AbstractAqueous zinc‐ion batteries (AZBs) show promises for large‐scale energy storage. However, the zinc utilization rate (ZUR) is generally low due to side reactions in the aqueous electrolyte caused by the active water molecules. Here, we design a novel solvation structure in the electrolyte by introduction of sulfolane (SL). Theoretical calculations, molecular dynamics simulations and experimental tests show that SL remodels the primary solvation shell of Zn2+, which significantly reduces the side reactions of Zn anode and achieves high ZUR under large capacities. Specifically, the symmetric and asymmetric cells could achieve a maximum of ∼96 % ZUR at an areal capacity of 24 mAh cm−2. In a ZUR of ∼67 %, the developed Zn−V2O5 full cell can be stably cycled for 500 cycles with an energy density of 180 Wh kg−1 and Zn‐AC capacitor is stable for 5000 cycles. This electrolyte structural engineering strategy provides new insight into achieving high ZUR of Zn anodes for high performance AZBs.
A De Novo‐Designed Type 3 Copper Protein Tunes Catechol Substrate Recognition and Reactivity
Authors: Pirro Fabio , La Gatta Salvatore , Arrigoni Federica , Famulari Antonino , Maglio Ornella , Del Vecchio Pompea , Chiesa Mario , De Gioia Luca , Bertini Luca , Chino Marco , Nastri Flavia , Lombardi Angela 
Published: November 2022

AbstractDe novo metalloprotein design is a remarkable approach to shape protein scaffolds toward specific functions. Here, we report the design and characterization of Due Rame 1 (DR1), a de novo designed protein housing a di‐copper site and mimicking the Type 3 (T3) copper‐containing polyphenol oxidases (PPOs). To achieve this goal, we hierarchically designed the first and the second di‐metal coordination spheres to engineer the di‐copper site into a simple four‐helix bundle scaffold. Spectroscopic, thermodynamic, and functional characterization revealed that DR1 recapitulates the T3 copper site, supporting different copper redox states, and being active in the O2‐dependent oxidation of catechols to o‐quinones. Careful design of the residues lining the substrate access site endows DR1 with substrate recognition, as revealed by Hammet analysis and computational studies on substituted catechols. This study represents a premier example in the construction of a functional T3 copper site into a designed four‐helix bundle protein.
Pecan (Carya illinoinensis) oil consumer hedonic rating, sensory characteristic, satiating and energizing effect, and drivers of overall acceptance
Authors: Du Xiaofen , Muniz Adriana , Juma Shanil 
Published: November 2022

AbstractWith increasing global health and wellness product needs, pecan oil is getting popular in recent years. Although considered a gourmet oil because of its unique sensory and nutritional values, there is no publication focusing on consumer attitude toward pecan oil. This study, for the first time, investigated consumer acceptance, sensory quality, and emotional response to five pecan oils from native and improved varieties, with a comparison to an olive oil. All five pecan oils had positive hedonic ratings (>5, with a 9‐point hedonic scale) for overall acceptance and the acceptance of oil flavor, raw‐nut flavor, and thickness, while the olive oil was rated slightly lower than 5 for these attributes. Pecan oils had higher intensities in raw‐nut flavor, but lower in overall oil flavor, fatty flavor, astringency, and thickness compared to olive oil. Off‐flavor was not perceived in pecan oils, whereas it was perceived in olive oil. The six oils did not show significant differences in satiating effects; however, olive oil was rated lower in energizing effects than pecan oils, which showed a significant variety difference (p ≤ 0.05). Consumer overall acceptance was significantly, positively driven by energizing effects, followed by the acceptability of raw‐nut flavor, thickness, and oil flavor; off‐flavors were negative drivers. Results obtained from this study add direct pecan oil consumer insight: an asset for pecan growers, pecan processing industry, and pecan oil marketers.
Physical properties and ion permeability of crosslinking hydrogel membrane based on poly(vinyl alcohol) for soilless cultivation
Authors: Seeponkai Narumon , Khammuang Kwanniti , Fuggate Puwanart , Seephonkai Prapairat 
Published: November 2022

AbstractCrosslinking hydrogel membranes were prepared by esterification reaction with different ratios of poly(vinyl alcohol) (PVA) and poly(acrylic acid) (PAA). The purpose of the study was to research the effect of the crosslinking agent PAA on the hydrogel properties of the membranes used for soilless cultivation. Increasing of PAA ratio resulted in a significant increase in the crosslinking density (ρx) and a decrease in the average molecular weight of the polymer chain between the crosslinks () and the mesh size (ξ) of the hydrogel membranes. In addition, the ion permeability coefficient decreased when the PAA ratio increased. Increasing the PAA ratio significantly affected water uptake value, tensile strength, and elongation of the hydrogel membranes. A PVA:PAA ratio of 9:1 was suitable for plant cultivation. The cultivated plants germinated well and generated many small fine roots on the upper surface of the hydrogel membrane. These small fine roots adhered well to the hydrogel membrane to absorb the water and feed nutrient ions. This finding showed that the hydrogel membranes have the potential of being used for soilless cultivation in controlled experimental conditions.
Smart Nano‐switch with Flexible Modulation of Ion Transport Using Multiple Environmental Stimuli
Authors: Chen Li‐Dong , Wu Yuan‐Yi , Zhang Di , Cao Shuo‐Hui , Xu Lin‐Tao , Li Yao‐Qun 
Published: November 2022

AbstractIn this work, we demonstrate a unique nano‐switch with triple environmental stimuli based on the action of functional copolymer brushes in a single conical nanochannel. This nanodevice flexibly and efficiently modulates ion transport properties under the influence of three environmental stimuli: light, pH and temperature. The triple factors can not only play a regulatory role independently, but their synergistic cooperation could fully activate the ionic gate and reversibly control the gating direction. In addition, the nano‐switch can switch transport properties on demand in the face of complex combinations of different factors. This work promotes the development of intelligent bionic ion channels, which holds promise for biosensing, energy conversion and biomedical research.
Calibration of scientific reasoning ability
Authors: Drummond Otten Caitlin , Fischhoff Baruch 
Published: November 2022

AbstractScientific reasoning ability, the ability to reason critically about the quality of scientific evidence, can help laypeople use scientific evidence when making judgments and decisions. We ask whether individuals with greater scientific reasoning ability are also better calibrated with respect to their ability, comparing calibration for skill with the more widely studied calibration for knowledge. In three studies, participants (Study 1: N = 1022; Study 2: N = 101; and Study 3: N = 332) took the Scientific Reasoning Scale (SRS; Drummond & Fischhoff, 2017), comprised of 11 true–false problems, and provided confidence ratings for each problem. Overall, participants were overconfident, reporting mean confidence levels that were 22.4–25% higher than their percentages of correct answers; calibration improved with score. Study 2 found similar calibration patterns for the SRS and another skill, the Cognitive Reflection Test (CRT), measuring the ability to avoid intuitive but incorrect answers. SRS and CRT scores were both associated with success at avoiding negative decision outcomes, as measured by the Decision Outcomes Inventory; confidence on the SRS, above and beyond scores, predicted worse outcomes. Study 3 added an alternative measure of calibration, asking participants to estimate the number of items answered correctly. Participants were less overconfident by this measure. SRS scores predicted correct usage of scientific information in a drug facts box task and holding beliefs consistent with the scientific consensus on controversial issues; confidence, above and beyond SRS scores, predicted worse drug facts box performance but stronger science‐consistent beliefs. We discuss the implications of our findings for improving science‐relevant decision‐making.
Comprehensive investigation of a structural variant in a bi‐specific, N‐and C‐terminal Fc‐fusion molecule, and its monitoring with LC‐MS based method
Authors: Datola Antonio , Satwekar Abhijeet , Barron Nadine , DeRosa Sawako , Tomascak Brittany , Dawson Jessica , Palmese Angelo , Rossi Mara 
Published: November 2022

AbstractThere is an increasing interest in the generation of Fc‐fusion molecules to exploit the effector functions of Fc and the fusion partner, towards improving the therapeutic potential. The Fc‐fusion molecules have unique structural and functional attributes that impart various advantages. However, the manufacturing of Fc‐fusion molecules possesses certain challenges in the biopharmaceutical development. The fusion of unnaturally occurring two or more domains in a construct can pose problems for proper folding and are prone to aggregation and degradation. Reshuffling of disulfide bridges represents a posttranslational event that affects folding. This can play a critical role in the correct structure of a molecule and leads to structural heterogeneity in biotherapeutics; it may also impact the in vivo biological activities, safety, and efficacy of the biopharmaceutical. Our work presents an investigation case of a doublet band, as observed only in nonreducing sodium dodecyl sulfate ‐ polyacrylamide gel electrophoresis (SDS‐PAGE) for a bi‐specific, N‐ and C‐terminal Fc‐fusion molecule. Other characterization and orthogonal methods from the analytical panel did not indicate the presence of two distinct species, including the orthogonal CE‐SDS (Caliper Lab Chip GXII). Therefore, it was necessary to determine if the phenomenon was an analytical artifact or a real variant of our Fc‐fusion molecule. With the comprehensive mass spectrometry‐based characterization, we were able to determine that the doublet band was related to the reshuffling of one disulfide bridge in one of the fused domains. Our work illustrates the application of nonreducing peptide mapping by mass spectrometry to characterize and identify disulfide variants in a complex N‐ and C‐terminal Fc‐fusion molecule, and further adoption to monitor the disulfide structural variants in the intermediate process samples to drive the manufacturing of a consistent product with the desired quality attributes.
Modular Peptide Probe for Protein Analysis
Authors: Zheng Zhi , Yuan Lizhen , Hu Jing‐Jing , Xia Fan , Lou Xiaoding 
Published: November 2022

AbstractThe analysis and regulation of proteins are of great significance for the development of disease diagnosis and treatment. However, complicated analytical environment and complex protein structure severely limit the accuracy of their analysis results. Nowadays, ascribing to the editability and bioactivity of peptides, peptide‐based probes could meet the requirements of good selectivity and high affinity to overcome the challenges. In this review, we summarize the advances in the use of modular peptide probes for proteins analysis. It focuses on how to design and optimize the structure of probes, as well as their performance. Then, the strategies and application to improve the analysis result of modular peptide probes are introduced. Finally, we also discuss current challenge and provide some ideas for the future direction for modular peptide probes, hoping to accelerate their clinical transformation.
Ebola deep wavelet extreme learning machine based chronic kidney disease prediction on the internet of medical things platform
Authors: Prasad Reddy Tatiparti B. , Vydeki D 
Published: November 2022

SummaryVarious significant methodologies have been developed in classifying chronic kidney disease (CKD). But still, there emerge certain drawbacks, including high storage space requirements, increased diagnosis time, high cost of computation, and degraded accuracy. Hence in the proposed research work, Ebola deep wavelet extreme learning machine (EDWELM) is proposed for the precise classification of CKD and non‐CKD. Initially, the accessed data are preprocessed by transforming categorical to numerical values and replacing missing values with median to remove unwanted distortions. In the feature selection process, the hybrid methodology of Darts game and Battle royale optimization called Darts Battle game optimizer is carried out to choose the most discriminative features for improving classification accuracy. The final step undertaken is the classification process, which is one of the important data mining applications for distinguishing the data classes. In the proposed EDWELM classification method, ELM based autoencoder, wavelet neural network, and Ebola optimization search algorithm are carried out for effective CKD classification. From the CKD dataset, the performance is analyzed to various terms like accuracy, F1 score, precision, recall, kappa, and balanced score. The accuracy of 99.83% is attained by the proposed EDWELM classification method, which is comparatively better than the existing approaches.
Electronic Substitution Effect on the Ground and Excited State Properties of Indole Chromophore: A Computational Study**
Authors: Ray Soumyadip , Mondal Padmabati 
Published: November 2022

AbstractIndole, being the main chromophore of amino acid tryptophan and several other biologically relevant molecules like serotonin, melatonin, has prompted considerable theoretical and experimental interest. The current work focuses on the investigation of substitution effect on the ground and excited electronic states of indole using computational quantum chemistry. Having three close‐lying excited electronic states, the vibronic coupling effect becomes extremely important yet challenging for the photophysics and photochemistry of indole. Here, we have evaluated the performance of time‐dependent density functional theory against available experimental and ab initio results from the literature. The electronic effects on the excited states of indole and indole derivatives e. g. tryptophan, serotonin and melatonin are reported. A bathochromic shift has been observed in the absorption spectrum for the La state. The absorption wavelength increases in the order of indole<tryptophan <serotonin <melatonin. While the contribution of the in‐plane small adjacent groups increases the electron density of the indole ring, the out‐of‐plane long substituent groups have minor effect. The absorption spectra calculated including the vibronic coupling are in good agreement with experiments. These results can be used to estimate the error in photophysical observables of indole derivatives calculated considering indole as a prototypical system.
Orthogonal rational approximation of transfer functions for high‐frequency circuits
Authors: Ma Andrew , Engin Arif Ege 
Published: November 2022

SummaryThis paper introduces the orthogonal rational approximation (ORA) algorithm for rational function approximation of transfer functions, based on data available from simulations or measurements. A rational function allows integration of such data in transient solvers for analysis of high‐frequency circuits. In rational function approximation, the unknown denominator polynomial of the model results in a nonlinear problem, which can be replaced with successive solutions of linearized problems following the Sanathanan–Koerner (SK) iteration. An orthogonal basis can be obtained based on Arnoldi resulting in a stabilized SK iteration. We present an extension of the stabilized SK, called ORA, which ensures real polynomial coefficients and stable poles for realizability of electrical networks. We also introduce an efficient implementation of ORA for multiport networks based on a block QR decomposition.