bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fast Screening for Copper‐Based Bimetallic Electrocatalysts: Efficient Electrocatalytic Reduction of CO2to C2+Products on Magnesium‐Modified Copper
Authors: Xie Mingcan , Shen Yan , Ma Wenchao , Wei Diye , Zhang Biao , Wang Zihan , Wang Yihan , Zhang Qinghong , Xie Shunji , Wang Cheng , Wang Ye 
Published: October 2022

AbstractElectroreduction of CO2(CO2RR) into high value‐added chemicals is an attractive route to achieve carbon neutrality. However, the development of an efficient catalyst for CO2RR is still largely by trial‐and‐error and is very time‐consuming. Herein, we built an electrocatalyst testing platform featuring a home‐built automatic flow cell to accelerate the discovery of efficient catalysts. A fast screening of 109 Cu‐based bimetallic catalysts in only 55 h identifies Mg combined with Cu as the best electrocatalyst for CO2to C2+products. The thus designed Mg−Cu catalyst achieves a Faradaic efficiency (FE) of C2+products up to 80 % with a current density of 1.0 A cm−2at −0.77 V versus reversible hydrogen electrode (RHE). Systematic experiments with in situ spectroelectrochemistry analyses show that Mg2+species stabilize Cu+sites during CO2RR and promote the CO2activation, thus enhancing the *CO coverage to promote C−C coupling.
Highly Efficient Green and Red Narrowband Emissive Organic Light‐Emitting Diodes Employing Multi‐Resonant Thermally Activated Delayed Fluorescence Emitters**
Authors: Wu Sen , Kumar Gupta Abhishek , Yoshida Kou , Gong Junyi , Hall David , Cordes David B. , Slawin Alexandra M. Z. , Samuel Ifor D. W. , Zysman‐Colman Eli 
Published: October 2022

AbstractHerein, we demonstrate how judicious selection of the donor decorating a central multi‐resonant thermally activated delayed fluorescence (MR‐TADF) core based on DiKTa can lead to very high‐performance OLEDs. By decorating the DiKTa core with triphenylamine (TPA) and diphenylamine (DPA), 3TPA‐DiKTa and 3DPA‐DiKTa exhibit bright, narrowband green and red emission in doped films, respectively. The OLEDs based on these emitters showed record‐high performance for this family of emitters with maximum external quantum efficiencies (EQEmax) of 30.8 % for 3TPA‐DiKTa at λEL of 551 nm and 16.7 % for 3DPA‐DiKTa at λEL=613 nm. The efficiency roll‐off in the OLEDs was improved significantly by using 4CzIPN as an assistant dopant in hyperfluorescence (HF) devices. The outstanding device performance has been attributed to preferential horizontal orientation of the transition dipole moments of 3TPA‐DiKTa and 3DPA‐DiKTa.
Bromine Assisted MnO2 Dissolution Chemistry: Toward a Hybrid Flow Battery with Energy Density of over 300 Wh L−1
Authors: Liu Yun , Xie Congxin , Li Xianfeng 
Published: October 2022

AbstractMn2+/Mn3+ redox pair has been considered as a promising cathode for high energy density batteries, due to its attractive features of high redox potential, solubility and outstanding kinetics. However, the disproportionation side reaction of Mn3+, which results in accumulation of “dead” MnO2 limits its reversibility and further energy density. Herein, a novel catholyte based on mixture of Mn2+ and Br− was proposed for flow batteries with high energy density and long cycle life. In the design, the “dead” MnO2 can be fully discharged via Br− by a chemical‐electrochemical reaction. Coupled with Cd/Cd2+ as anode, the assembled Bromine‐Manganese flow battery (BMFB) demonstrates a high energy efficiency of 76 % at 80 mA cm−2 with energy density of 360 Wh L−1. The battery assembled with silicotungstic acid as anode could continuously run for over 2000 cycles at 80 mA cm−2. With high power density, energy density and durability, the BMFB shows great potential for large‐scale energy storage.
Construction Engineering of Symmetrical and Unsymmetrical Diynes for the Growth of Graphdiyne and Its Derivatives
Authors: Hu Guilin , He Jingyi , Chen Jing , Li Yongjun 
Published: October 2022

AbstractGraphdiyne (GDY) and its derivatives are new stable network carbon materials consisting of sp and sp2 hybridized carbon atoms. Although those new materials have various applications, synthesizing abundant 1,3‐diynes in GDY and its derivatives is still a great challenge until now. Here we utilized the copper trichloro complex (CuTC) generated in the presence of N,N,N,N’‐tetramethylethylenediamine, O2 and trichloromethane to couple terminal alkynes efficiently. Large two‐dimensional (2D) network graphdiyne (GDY), hydrogen substituted graphdiyne (H‐GDY) and hydrogen substituted graphdiyne with bipyridine (H‐GDY(BPY)) film were successfully synthesized on Cu foil surface. The formation of abundant symmetrical (‐C≡C−C≡C‐) and unsymmetrical diynes (‐C≡C–C≡C‐) in GDY, (H‐GDY) and H‐GDY(BPY) was confirmed by Raman spectra. SEM and TEM images showed two‐dimensional (2D) morphology of the three carbon materials. Furthermore, Element mapping images, FTIR, Solid‐state 13C NMR and XPS demonstrated that bipyridine units were successfully integrated on H‐GDY backbone via heterocoupling of terminal alkynes of 1,3,5‐triethynylbenzene and 5,5′‐bis‐ethynyl‐2,2′‐bipyridine. In photocatalytic reaction, H‐GDY(BPY) sheets exhibited a remarkable enhancement of the photocatalytic H2 generation compared with H‐GDY and GDY. The result suggested that the CuTC catalyzed 1,3‐diynes construction system is an efficient way to introduce the active centers into the structure of graphdiyne analogues by rationally designing the introduced active groups at molecular level.
Prussian Blue Analogue‐Derived ZnO/ZnFe2O4 Core‐Shell Nanospheres as High‐Performance Anodes for Lithium‐Ion and Potassium‐Ion Batteries
Authors: Wang Qinglin , Kang Libin , Xing Zheng , Nie Chuanhao , Hong Haiping , Zhou Xichen , Yun Qinbai , Ju Zhicheng , Chen Bo 
Published: October 2022

AbstractHerein, core‐shell nanostructured ZnO/derived from self‐sacrifice template method with Prussian blue analogue (i. e., Zn3[Fe(CN)6]2) as precursor has been successfully synthesized by controlling the calcination temperatures and heating rates. The formation mechanism of core‐shell nanostructures has been explored through the morphology transformation under different synthetic conditions. Impressively, ZnO/ZnFe2O4 hybrid material with core‐double shell nanostructure shows good cycling performance as anodes of lithium‐ion batteries (1137 mAh g−1 at 1 A g−1 after 80 cycles) and potassium‐ion batteries (217 mAh g−1 at 0.1 A g−1 after 400 cycles). The excellent performances can be attributed to the unique core‐double shell nanostructure as well as synergistic effects of ZnO and ZnFe2O4. The results indicate that the strategy of designing nanostructures could successfully improve the electrochemical performances of ZnO/ZnFe2O4 and effectively expand the commercial application of transition metal oxides.
An iRGD‐conjugated photothermal therapy‐responsive gold nanoparticle system carrying siCDK7 induces necroptosis and immunotherapeutic responses in lung adenocarcinoma
Authors: Cai Rui , Wang Meng , Liu Meiyuan , Zhu Xiongjie , Feng Longbao , Yu Zhongjian , Yang Xia , Zhang Zhiwu , Guo Huili , Guo Rui , Zheng Yanfang 
Published: October 2022

AbstractAlthough immunotherapy has improved the clinical treatment of lung adenocarcinoma (LUAD), many tumors have poor responses to immunotherapy. In this study, we confirmed that high expression of Cyclin‐Dependent Kinase 7 (CDK7) promoted an immunosuppressive macrophage phenotype and macrophage infiltration in LUAD. Thus, we have developed an internalizing‐RGD (iRGD)‐conjugated gold nanoparticle (AuNP) system which carries siCDK7 to activate the antitumor immune response. The iRGD‐conjugated AuNP/siCDK7 system exhibited good tumor targeting performance and photothermal effects. The AuNP/siCDK7 system with excellent biosafety exerted a significant photothermal antitumor effect by inducing tumor cell necroptosis. Furthermore, the AuNP/siCDK7 system ameliorated the immunosuppressive microenvironment and enhanced the efficacy of anti‐PD‐1 treatment by increasing CD8+ T cell infiltration and decreasing M2 macrophage infiltration. Hence, this iRGD‐conjugated AuNP/siCDK7 system is a potential treatment strategy for lung adenocarcinoma, which exerts its effects by triggering tumor cell necroptosis and immunotherapeutic responses.
A high‐throughput approach to developing and optimizing mixed‐mode membrane chromatography for protein purification
Authors: McKechnie William S. , Thom Volkmar , Kupracz Lukas , Pollard Jennifer , Kandula Sunitha , Welsh John 
Published: October 2022

AbstractMembrane chromatography has been established as a viable alternative to packed‐bed column chromatography for the purification of therapeutic proteins. Purification via membrane chromatography offers key advantages, including higher productivity and reduced buffer usage. Unlike column chromatography purification, the utilization of high‐throughput screening in order to reduce development times and material requirements has been a challenge for membrane chromatography. This research focused on the development of a new, high‐throughput screening technique for use in screening membrane chromatography conditions for monoclonal antibody purification. The developed screen utilizes a 96‐well plate format, thereby allowing for the screening of multiple different membrane conditions at once. For this study, four mixed‐mode cation exchange membranes and one cation exchange membrane were evaluated on the plate. The screen is performed in a similar manner to that of a resin slurry plate screen, however, instead of a single loading step, the antibody feed was loaded in 50 mg/ml increments up to a maximum loading of 450 mg/ml. Performing a similar, incremental loading on a resin plate would be impractical, as mixing times are substantially longer due to pore diffusion limitations. However, due to the significantly faster rate of mass transfer for membranes relative to resin, mixing times could be reduced by up to a factor of sixty on the membrane plate. Additional optimization showed that higher hydrophobicity can potentially lead to slower kinetics and mixing times that may need to be adjusted accordingly. The end result is a screen that has been proven to provide results comparable to those obtained on larger‐scale membrane purification runs while also enabling exploration of a much greater operating space and significantly reducing the feed materials required.
Same old story of good cop–bad cop? A narrative approach to social representations of the police's role in addressing gender‐based violence in Indian gender advocacy
Authors: D'silva Keshia 
Published: October 2022

AbstractDespite considerable evidence of the patriarchal nature of the police and underreporting of gender‐based violence in India, there is a dearth of literature on how gender advocacy campaigns in India tackle these issues. This study addresses this gap by exploring how the police is represented in gender advocacy in India. The material comprises of eight campaign videos from two ideologically opposing organizations: Amnesty International, an international human rights organization and Ministry for Women and Child Development, a government body. Social representations theory and narrative analysis are applied in the analysis to answer how the role of the police is narratively constructed. Results suggest two contrasting representations held by each organization in line with their organizational identities. While Amnesty constructed the police as villains obstructing women's access to justice, the Ministry represented the police as heroes defending women's safety. The analysis contributes a novel way of locating anchors and objectifications by a focus on narrative actions and goals. Additionally, the discussion of the findings broadens conceptions of hegemonic and polemic representations, arguing for a more power‐centric approach that conceives of hegemony in terms of access to media channels and material resources. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement.
Stafiba: A STAT5‐Selective Small‐Molecule Inhibitor
Authors: Eckhardt Katrin S. , Münzel Theresa , Gräb Julian , Berg Thorsten 
Published: October 2022

AbstractThe transcription factors STAT5a and STAT5b are constitutively active in many human tumors. Combined inhibition of both STAT5 proteins is a valuable approach with promising applications in tumor biology. We recently reported resorcinol bisphosphate as a moderately active inhibitor of the protein‐protein interaction domains, the SH2 domains, of both STAT5a and STAT5b. Here, we describe the development of resorcinol bisphosphate to Stafiba, a phosphatase‐stable inhibitor of STAT5a and STAT5b with activity in the low micromolar concentration range. Our data provide insights into the structure‐activity relationships of resorcinol bisphosphates and the corresponding bisphosphonates for use as inhibitors of both STAT5a and STAT5b.
Temporality: A fruitful concept for understanding, studying, and supporting people in transition
Authors: Olry‐Louis Isabelle , Cocandeau‐Bellanger Laurence , Fournier Geneviève , Masdonati Jonas 
Published: October 2022

AbstractThe specific processes of transitions or turning points have been studied in different fields, notably vocational psychology, career development, sociology, and the life‐course approach. However, little work has brought together these different strands of research. To fill this gap, we explore the issue of temporality, raised to varying degrees by each approach, with the aim of showing its heuristic value in the study of career transitions. After clarifying a number of concepts, we describe research methodologies that can be used to identify temporality and suggest keys of comprehension to understand transitions from a temporal angle. Finally, we describe intervention avenues that take temporality into account to support people in career transition. Covering the past, the present, and the future, they aim to stimulate self‐reflection in order to give meaning to the most significant biographical experiences and, hence, make the present clearer and anticipation of the future easier.
A High‐Speed Camera‐Based Measurement System for the High‐Pressure Entrained‐Flow Gasification
Authors: Matthes Jörg , Kollmer Max , Eberhard Mark , Hagenmeyer Veit , Kolb Thomas 
Published: October 2022

AbstractA continuously operated optical measurement system for observation and characterization of the flame structure in an entrained‐flow gasifier operated at 40 bar and 1200 °C is presented. The experimental setup, the image processing system, and the derived parameters for flame characterization are introduced. First results from gasification experiments concerning flame lift‐off distance, flame angle, and flame dynamics are demonstrated.
Chemically Sensitive Field‐Effect Transistors, Past, Present and Future
Authors: Janata Jiří 
Published: October 2022

AbstractHistory, failures, successes and potential of Chemically Sensitive Field Effect Transistors (CHEMFET) are presented, based on fifty years of Author's personal experience working in this field. This article is divided into operation of devices in the liquid phase and in the gas phase. The recognition step in the first is based on ion partitioning. It requires a macroscopic reference electrode, which becomes the principal limiting factor. The CHEMFETs for dry operation rely on selective chemical modulation of work function of the electronically conducting gate material. They do not require an external reference and offer the possibility of miniaturization and multivariate sensing. Fabrication and economic aspects of both types of CHEMFETs are also discussed.
Coke deposition and run length in industrial naphtha thermal cracking furnaces via a quasi‐steady state coupled CFD model
Authors: Rezaeimanesh Mohsen , Ghoreyshi S. Ali Asghar , Peyghambarzadeh Seyed Mohsen , Hashemabadi Seyed Hassan 
Published: October 2022

AbstractMathematical modelling of the thickness of the coke layer growing over months in millisecond cracking reactors is a dilemma in computational fluid dynamics (CFD) simulation. To address the time scale issue, a quasi‐steady state (QSS) approach was employed through a comprehensive coupled reactor/firebox CFD model in the current study. The model was applied to predict the time‐dependent behaviour of coke deposition and to determine the appropriate operating conditions for maximum olefin yields over an industrial furnace run length. A novel algorithm was designed to overcome the complexity of QSS simulation of the CFD model, which is a combination of reactive turbulence flow, combustion, and radiation models. The furnace parameters were studied as a function of two variables: the dilution steam‐to‐feed ratio and the liberated heat by the burners. The results indicated that the run length can be extended by up to 20% while retaining the main product yields. This study offers practical suggestions to maximize the run length in the operation.
The Mechanochemical Beckmann Rearrangement over Solid Acids: From the Ball Mill to the Extruder
Authors: Baier Daniel M. , Rensch Tilo , Dobreva Desislava , Spula Carolina , Fanenstich Stephen , Rappen Marisol , Bergheim Konrad , Grätz Sven , Borchardt Lars 
Published: October 2022

AbstractBeckmann rearrangement was carried out in the solid state in a ball mill using metal oxides as solid acids. After a comprehensive investigation of different reaction parameters, acids as well as further additives, a combination of aluminosilicate materials, phosphorus pentoxide, and para‐toluenesulfonic acid was identified as the optimal system. This allowed the model compounds ϵ‐caprolactam and acetanilide to be obtained in yields of 46 % and 94 %, respectively, while the robustness of the method was demonstrated by applying it to additional substrates. Finally, we scaled up our optimized reaction into a continuous process using a twin screw extruder. With this, yields beyond 90 % could be achieved in a residence time as low as seven minutes.
Intrusion detection framework using stacked auto encoder based deep neural network in IOT network
Authors: Sugitha G. , Preethi B. C. , Kavitha G. 
Published: October 2022

SummarySecurity is of paramount importance in the number of systems affiliated with increased IoT. Therefore, in this manuscript, a Stacked Auto Encoder based Deep Neural Network (DNN) fostered Intrusion Detection Framework is proposed to secure the IoT Environment. Here, the data is given to the preprocessing stage, in which redundancy elimination and replacement of missing value are done. Then, the preprocessed output is given to the feature selection process. Wherein, the Golden eagle optimization (GEO) algorithm selects the optimum features from pre‐processed data sets. Then selected features are given to the Stacked Auto encoder based deep neural network for classification, which classified the data, like normal, anomalies. Here, the proposed approach is implemented in Python language. To check the robustness of the proposed approach, the performance metrics, like accuracy, specificity, sensitivity, F‐measure, precision, and recall is measured. The simulation outcome show that the proposed Stacked Auto Encoder based Deep Neural Network based Intrusion Detection Framework (IDS‐FS‐GEO‐SAENN) method attains higher accuracy 99.75%, 97.85%, 95.13%, and 98.79, higher sensitivity 96.34%, 91.23%, 89.12%, and 87.25%, higher specificity 93.67%, 92.37%, 98.47%, and 94.78% compared with the existing methods, like FS‐SMO‐SDPN, FS‐WO‐RNNLSTM, FS‐hybrid GWOPSO‐RF, and FS‐CNNLSTMGRU, respectively.
FRET‐FLIM to Determine Protein Interactions and Membrane Topology of Enzyme Complexes
Authors: Spatola Rossi Tatiana , Pain Charlotte , Botchway Stanley W. , Kriechbaumer Verena 
Published: October 2022

AbstractDetermining protein‐protein interactions is vital for gaining knowledge on cellular and metabolic processes including enzyme complexes and metabolons. Förster resonance energy transfer with fluorescence lifetime imaging microscopy (FRET‐FLIM) is an advanced imaging methodology that allows for the quantitative detection of protein‐protein interactions. In this method, proteins of interest for interaction studies are fused to different fluorophores such as enhanced green fluorescent protein (eGFP; donor molecule) and monomeric red fluorescent protein (mRFP; acceptor molecule). Energy transfer between the two fluorophore groups can only occur efficiently when the proteins of interest are in close physical proximity, around ≤10 nm, and therefore are most likely interacting. FRET‐FLIM measures the decrease in excited‐state lifetime of the donor fluorophore (eGFP) with and without the presence of the acceptor (mRFP) and can therefore give information on protein‐protein interactions and the membrane topology of the tested protein. Here we describe the production of fluorescent protein fusions for FRET‐FLIM analysis in tobacco leaf epidermal cells using Agrobacterium‐mediated plant transformation and a FRET‐FLIM data acquisition and analysis protocol in plant cells. These protocols are applicable and can be adapted for both membrane and soluble proteins in different cellular localizations. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: Protein expression in tobacco leaf cells via transient Agrobacterium‐mediated plant transformationBasic Protocol 2: FRET‐FLIM data acquisition and analysis
Impactful B Corps: A configurational approach of organizational factors leading to high sustainability performance
Authors: Cantele Silvia , Leardini Chiara , Piubello Orsini Luca 
Published: October 2022

AbstractCertified B Corps (B Corps) are firms characterized by a hybrid purpose and a sustainable business model that combines profit with social impact. Prior quantitative studies on B Corps have mainly analyzed the impact of certification on firm performance, while only a few have tried to analyze the antecedents of certification or high sustainability performance. Regression models have been used in most cases, often with inconsistent results and some research limitations. The aim of this study is to test the presence of different possible combinations of firm‐level antecedents leading to a high sustainability performance in B Corps. It applies a configurational approach and a qualitative comparative analysis methodology to search for different combinations of organizational factors (size, age, profitability, certification experience, women on board and the “Born B” factor) that lead to a high sustainability outcome, measured by a B Impact Assessment (BIA). Results indicate the existence of four configurations leading to a high BIA, representing as many kinds of impactful B Corps: Born B, small young ventures, small and medium enterprises, and large firms. These results contribute to the literature by showing that a high sustainability performance in B Corps can be reached through different paths (equifinality) entailing both high and low values of each factor (asymmetry) and depends on how factors are combined (conjunction) rather than on their single effect.