bluuebunny/crossref_metadata_2025_split huggingface dataset:
p‐Block Bismuth Nanoclusters Sites Activated by Atomically Dispersed Bismuth for Tandem Boosting Electrocatalytic Hydrogen Peroxide Production
Authors: Zhu Pan , Feng Wuyi , Zhao Di , Song Pengyu , Li Mengwei , Tan Xin , Liu Ting , Liu Shoujie , Zhu Wei , Zhuang Zhongbin , Zhang Jiatao , Chen Chen 
Published: July 2023

AbstractConstructing electrocatalysts with p‐block elements is generally considered rather challenging owing to their closed d shells. Here for the first time, we present a p‐block‐element bismuth‐based (Bi‐based) catalyst with the co‐existence of single‐atomic Bi sites coordinated with oxygen (O) and sulfur (S) atoms and Bi nanoclusters (Biclu) (collectively denoted as BiOSSA/Biclu) for the highly selective oxygen reduction reaction (ORR) into hydrogen peroxide (H2O2). As a result, BiOSSA/Biclu gives a high H2O2 selectivity of 95 % in rotating ring‐disk electrode, and a large current density of 36 mA cm−2 at 0.15 V vs. RHE, a considerable H2O2 yield of 11.5 mg cm−2 h−1 with high H2O2 Faraday efficiency of ∼90 % at 0.3 V vs. RHE and a long‐term durability of ∼22 h in H‐cell test. Interestingly, the experimental data on site poisoning and theoretical calculations both revealed that, for BiOSSA/Biclu, the catalytic active sites are on the Bi clusters, which are further activated by the atomically dispersed Bi coordinated with O and S atoms. This work demonstrates a new synergistic tandem strategy for advanced p‐block‐element Bi catalysts featuring atomic‐level catalytic sites, and the great potential of rational material design for constructing highly active electrocatalysts based on p‐block metals.
Reaction‐Induced Metal‐Metal Oxide Interactions in Pd‐In2O3/ZrO2 Catalysts Drive Selective and Stable CO2 Hydrogenation to Methanol
Authors: Araújo Thaylan Pinheiro , Morales‐Vidal Jordi , Giannakakis Georgios , Mondelli Cecilia , Eliasson Henrik , Erni Rolf , Stewart Joseph A. , Mitchell Sharon , López Núria , Pérez‐Ramírez Javier 
Published: July 2023

AbstractTernary Pd‐In2O3/ZrO2 catalysts exhibit technological potential for CO2‐based methanol synthesis, but developing scalable systems and comprehending complex dynamic behaviors of the active phase, promoter, and carrier are key for achieving high productivity. Here, we show that the structure of Pd‐In2O3/ZrO2 systems prepared by wet impregnation evolves under CO2 hydrogenation conditions into a selective and stable architecture, independent of the order of addition of Pd and In phases on the zirconia carrier. Detailed operando characterization and simulations reveal a rapid restructuring driven by the metal‐metal oxide interaction energetics. The proximity of InPdx alloy particles decorated by InOx layers in the resulting architecture prevents performance losses associated with Pd sintering. The findings highlight the crucial role of reaction‐induced restructuring in complex CO2 hydrogenation catalysts and offer insights into the optimal integration of acid‐base and redox functions for practical implementation.
Design of Hollow Nanoreactors for Size‐ and Shape‐Selective Catalytic Semihydrogenation Driven by Molecular Recognition
Authors: Pi Yutong , Cui Linxia , Luo Wenhao , Li Haitao , Ma Yanfu , Ta Na , Wang Xinyao , Gao Rui , Wang Dan , Yang Qihua , Liu Jian 
Published: July 2023

AbstractMimicking the structures and functions of cells to create artificial organelles has spurred the development of efficient strategies for production of hollow nanoreactors with biomimetic catalytic functions. However, such structure are challenging to fabricate and are thus rarely reported. We report the design of hollow nanoreactors with hollow multishelled structure (HoMS) and spatially loaded metal nanoparticles. Starting from a molecular‐level design strategy, well‐defined hollow multishelled structure phenolic resins (HoMS‐PR) and carbon (HoMS‐C) submicron particles were accurately constructed. HoMS‐C serves as an excellent, versatile platform, owing to its tunable properties with tailored functional sites for achieving precise spatial location of metal nanoparticles, internally encapsulated (Pd@HoMS‐C) or externally supported (Pd/HoMS‐C). Impressively, the combination of the delicate nanoarchitecture and spatially loaded metal nanoparticles endow the pair of nanoreactors with size–shape‐selective molecular recognition properties in catalytic semihydrogenation, including high activity and selectivity of Pd@HoMS‐C for small aliphatic substrates and Pd/HoMS‐C for large aromatic substrates. Theoretical calculations provide insight into the pair of nanoreactors with distinct behaviors due to the differences in energy barrier of substrate adsorption. This work provides guidance on the rational design and accurate construction of hollow nanoreactors with precisely located active sites and a finely modulated microenvironment by mimicking the functions of cells.
Fabrication of 3D‐printed graphene/polylactic acid and carbon nanofiber/polylactic acid electrodes: New solvent‐free electrochemical activation method for hydrogen evolution reactions
Authors: Ateş Sevgi , Baran Aydın Evrim 
Published: July 2023

AbstractIn this study, polylactic acid (PLA) composites containing different ratios (5%–15%) of graphene (GRP) and carbon nanofiber (CNF) were filamented using an extruder and then, 3D printed electrodes were produced by fused deposition modeling (FDM) method using the obtained GRP‐PLA and CNF‐PLA based filaments. The Electrochemical measurements of the 3D electrodes toward the hydrogen evolution reaction (HER) were investigated. According to the results obtained from the cathodic curves; It was determined that the current densities of 15% GRP/PLA and 15% CNF/PLA 3D electrodes were higher than the other electrodes and these values were around 0.325 and 0.329 mA cm−2, respectively. From the EIS results, the resistance values (Rct + Rad) for 15% GRP/PLA and 15% CNF/PLA 3D electrodes were found to be around 1465 and 9135 Ω cm2, respectively. It was determined that these two 3D electrodes had the lowest resistance values compared to other ratios. To increase the efficiency for HER, after soaking in 1 M KOH for 1 h, the activation process was carried out using the CV method by taking 100 cycles in the 0/−3 V range. The results were compared with the activation method reported in the literature (DMF and 2.5 V electrochemical treatment).
Three‐dimensional bioprinting of stem cell‐derived central nervous system cells enables astrocyte growth, vasculogenesis, and enhances neural differentiation/function
Authors: Sullivan Michael A. , Lane Samuel , Volkerling Alexander , Engel Martin , Werry Eryn L. , Kassiou Michael 
Published: July 2023

AbstractCurrent research tools for preclinical drug development such as rodent models and two‐dimensional immortalized monocultures have failed to serve as effective translational models for human central nervous system (CNS) disorders. Recent advancements in the development of induced pluripotent stem cells (iPSCs) and three‐dimensional (3D) culturing can improve the in vivo‐relevance of preclinical models, while generating 3D cultures though novel bioprinting technologies can offer increased scalability and replicability. As such, there is a need to develop platforms that combine iPSC‐derived cells with 3D bioprinting to produce scalable, tunable, and biomimetic cultures for preclinical drug discovery applications. We report a biocompatible poly(ethylene glycol)‐based matrix which incorporates Arg‐Gly‐Asp and Tyr‐Ile‐Gly‐Ser‐Arg peptide motifs and full‐length collagen IV at a stiffness similar to the human brain (1.5 kPa). Using a high‐throughput commercial bioprinter we report the viable culture and morphological development of monocultured iPSC‐derived astrocytes, brain microvascular endothelial‐like cells, neural progenitors, and neurons in our novel matrix. We also show that this system supports endothelial‐like vasculogenesis and enhances neural differentiation and spontaneous activity. This platform forms a foundation for more complex, multicellular models to facilitate high‐throughput translational drug discovery for CNS disorders.
Neurodiversity and psychotherapy—Connections and ways forward
Authors: Pantazakos Themistoklis 
Published: July 2023

AbstractThis critical review examines the connections between the neurodiversity paradigm and psychotherapy for autistic individuals. Clinical data indicates that autistic people face a deep and multifaceted mental health crisis, which neurodiversity‐affirming psychotherapy is ideally posed to address. Nonetheless, there are substantial challenges for tailoring psychotherapeutic schemes to autistic clients. The importance of phenomenological psychology in overcoming these challenges is highlighted, and a related proposal is briefly developed.
Progress in the Enantioselective Synthesis of Sulfur (VI) Compounds
Authors: Zhao Ping , Zeng Qingle 
Published: July 2023

AbstractIn recent years, there has been a notable surge in the prominence of enantioenriched sulfur(VI) compounds within the chemical science, particularly in the realm of bioactive molecules. However, the synthesis of these enantioenriched sulfur(VI) compounds has posed significant challenges, necessitating the exploration of diverse synthetic methods. Accordingly, this review aims to provide an in‐depth analysis of the latest advancements in the synthesis of sulfoximines, sulfonimidate esters, sulfonimidamides, and sulfonimidoyl halides, with a focus on developments since 1971.
Dynamic Surface Antifouling Materials
Authors: Wang Man , Ma Chunfeng , Zhang Guangzhao 
Published: July 2023

Comprehensive SummaryThe colonization of marine microorganisms, animals and plants on underwater surface forms marine biofouling. It has profound effects on marine industries. To solve the problem, we proposed a strategy of Dynamic Surface Antifouling (DSAF), i.e., continuously changing surfaces can effectively inhibit biofouling organisms landing and adhering, and developed degradable polymer based marine antifouling material. The degradation of polymer chain enables the surface dynamic or self‐renewing even on static conditions. The final degradation products of these polymers are low molecular weight molecules, and do not produce marine microplastics. Meanwhile, the degradable polymers act as carriers and controlled release systems for antifoulants, further improving the antifouling efficiency. This article reviews the development of dynamic surface antifouling materials.What is the most favorite and original chemistry developed in your research group?Synthesis of marine anti‐biofouling polymers.How do you get into this specific field? Could you please share some experiences with our readers?I happened to read a paper about marine biofouling on the internet three months later after I joined University of Science and Technology of China (USTC). Its adverse effects on marine industry and marine activities shocked me very much! No doubt, it makes great significance for our country and society to solve the problem. It is a challenge, but I like challenge, and I decided to get into this field. Realizing that the key is to develop new polymer resin, I was confident that I was able to solve the problem with my polymer chemistry and physics background. Actually, it is not easy. I have spent about 20 years in this project since then.What is the most important personality for scientific research?Curiosity, interest, concentration and persistence.	How do you keep balance between research and family?I make a plan and organization for everything so I can keep a balance between family and work.Who influences you mostly in your life?Prof. Ming Jiang and Prof. Chi Wu, who are my PhD and post‐doctor supervisors, respectively. They taught me how to do research and how to choose a significant subject.What is your favorite journal(s)?Macromolecules, Journal of the American Chemical Society, Physical Review Letters.Could you please give us some advices on improving Chinese Journal of Chemistry?The journal may publish more papers about applications of chemistry and history of chemistry.
Use of electronic cigarettes among African American cancer survivors
Authors: Wharram Christelle E. , Kyko Jaclyn M. , Ruterbusch Julie J. , Beebe‐Dimmer Jennifer L. , Schwartz Ann G. , Cote Michele L. 
Published: July 2023

AbstractBackgroundThe use of electronic cigarettes (e‐cigarettes) is increasing rapidly in the United States, although the negative health outcomes associated with these products are still unknown. Emerging research has examined the use of e‐cigarettes in the cancer survivor population as a whole, yet none has focused on e‐cigarette use in the African American (AA) cancer survivor population.MethodsThe authors used data from the Detroit Research on Cancer Survivors cohort study, comprised of AA adult cancer survivors. Logistic regression models were used to evaluate factors potentially associated with e‐cigarette ever use and current use.ResultsOf 4443 cancer survivors who completed a baseline interview, 8.3% (n = 370) reported ever using e‐cigarettes, and 16.5% (n = 61) of those reporting ever use also reported current use of e‐cigarettes. Ever users and current users were on average younger than those who did not use e‐cigarettes (57.5 vs. 61.2 years; p < .001). Current cigarette smokers were >20 times more likely (odds ratio, 20.75; 95% confidence interval, 12.84–33.55) and former smokers were almost 10 times more likely (odds ratio, 9.50; 95% confidence interval, 6.03–14.97) to have ever used e‐cigarettes than never‐smokers. Preliminary data suggested that ever use of e‐cigarettes is associated with later stage at diagnosis for breast and colorectal cancers.ConclusionsAs the use of e‐cigarettes increases in the general population, it is important to continue to monitor their use in cancer survivors and to gain more insight as it pertains to the AA cancer survivor population. Elucidation of the factors associated with e‐cigarette use in this population may help inform comprehensive cancer survivorship recommendations and interventions.
Color characterization model for OLED displays with crosstalk effects
Authors: Wu Jialu , Wei Minchen , Yang Yang , Wang Wenjun 
Published: July 2023

AbstractConventional models (e.g., a Gain‐Offset‐Gamma model) were developed based on the assumption of channel independence. Modern displays (e.g., organic light‐emitting‐diode OLED displays), however, sometimes have crosstalk effects among the three channels, making these conventional models have poor performance. In this article, we propose a 3D piecewise model. It divides the display gamma encoded RGB space (i.e., R′G′B′) into 27 subspaces and characterizes the crosstalk effects between two and three channels based on the measurements of the tristimulus values of 64 combinations of digital signal values. The average color difference ΔE00 of the 41 combinations between the model predictions and the measurements was around 0.34, in comparison to the average of 3.61 by the GOG model, across nine uncalibrated OLED displays. In addition, for displays with breakpoints on each channel, a revision is proposed to divide the subspaces for maintaining the accurate predictions. The proposed model was also validated by calibrating 94 uncalibrated OLED displays to the standard P3 RGB specifications, resulting an average color difference ΔE00 reduced from 3.96 to 0.72.
A novel‐cascaded ANFIS‐based deep reinforcement learning for the detection of attack in cloud IoT‐based smart city applications
Authors: Almasri Marwah Mohammad , Alajlan Abrar M. 
Published: July 2023

SummaryVast usages of Internet of Things (IoT) devices in various smart applications have laid a foundation for the evolution of modern smart cities. The increasing dependency of smart city applications on communication and information technologies enhances operational efficiency, sustainability, and automation of city services. However, due to the heterogeneous nature of IoT devices, the network faces critical security issues while executing continued network operations and services, particularly by cyber‐attacks. One of the predominant and rampant cyber‐attacks in smart city applications is botnet attacks. Therefore, a novel deep learning model for the detection and isolation of cyber‐attacks is proposed in the cloud IoT‐based smart city applications to protect against such cyber‐attacks. The proposed framework utilizes two different modules to automatically detect and isolate the malicious traffic emanating from compromised IoT devices with more efficiency. Here, two different datasets namely the IoT network intrusion and the ISCX 2012 IDs datasets are utilized for the evaluation of the proposed framework. In the first phase, the compromised device which communicates malicious network traffics through the network is identified using a cascaded adaptive neuro‐fuzzy inference system (CANFIS). After detection, IP address of abnormal traffic is recorded and informed to the system administrator. In the second phase, communication pathways of compromised devices with other normal devices are blocked and the compromised devices are isolated from the network using the modified deep reinforcement learning (MDRL) approach. The analytic result shows that the proposed framework achieves a greater accuracy rate of about 98.7% as compared to other state‐of‐art methods.
Luminescence and Stability of 1,4,5‐Triaryl‐1,2,3‐Triazoles
Authors: Nusser Brandon D. , Accardo Joseph V. , Zhu Lei 
Published: July 2023

AbstractThe fluorescence, phosphorescence, and photochemical properties of di‐ and triaryl‐substituted‐1,2,3‐triazoles are reported in this work. The ease of synthesis of regioisomers of substituted triazoles enables a systematic study on the correlation between regiochemistry and excited state properties, which include the solvent dependence of fluorescence, energy gap between singlet and triplet emitters, and propensity to photon‐triggered transformations. The triazoles that carry electron (e)‐donor and e‐acceptor aryl substituents show high fluorescence quantum yields in weakly polar solvents and exhibit solvent‐dependent fluorescence. The luminescence properties of these compounds in glass matrices at 77 K are characterized. The thermal and photo‐stability, two parameters that are crucial to their potential utilities in optical devices, of these compounds are determined. The position of the e‐donor substituent has a significant impact on the fluorescence emission energy and solvent sensitivity, singlet‐triplet energy gap, and photochemical reactivity and stability. The experimental observations on the structural correlation with the photophysical and photochemical properties are explained by quantum chemical calculations. This study provides a rationale on the placement of substituent on a donor‐acceptor type fluorophore to maneuver a range of photo‐related properties.
Endoscopic submucosal dissection for colorectal neoplasms: Risk factors for local recurrence and long‐term surveillance
Authors: Okumura Taishi , Hayashi Takemasa , Kudo Shin‐ei , Mochizuki Kenichi , Abe Masahiro , Sakurai Tatsuya , Kouyama Yuta , Ogawa Yushi , Maeda Yasuharu , Toyoshima Naoya , Misawa Masashi , Kudo Toyoki , Wakamura Kunihiko , Baba Toshiyuki , Ishida Fumio , Miyachi Hideyuki 
Published: July 2023

AbstractObjectivesEndoscopic submucosal dissection (ESD) is an effective procedure for the en bloc resection of colorectal neoplasms. However, risk factors for local recurrence after ESD have not been identified. This study aimed to evaluate such risk factors after ESD for colorectal neoplasms.MethodsThis retrospective study included 1344 patients with 1539 consecutive colorectal lesions who underwent ESD between September 2003 and December 2019. We investigated various factors associated with local recurrence in these patients. The main outcomes were the incidence of local recurrence and its relationship with clinicopathological factors during long‐term surveillance.ResultsThe en bloc resection rate was 98.6%, the R0 resection rate was 97.2%, and the histologically complete resection rate was 92.7%. Local recurrence was observed in 7/1344 (0.5%) patients and the median follow‐up period was 72 months (range 4–195 months). The incidence of local recurrence was significantly higher in lesions ≥40 mm in diameter (hazard ratio [HR] 15.68 [1.88–130.5]; p = 0.011), piecemeal resection (HR 48.42 [10.7–218.7]; p < 0.001), non‐R0 resection (HR 41.05 [9.025–186.7]; p < 0.001), histologically incomplete resection (HR 16.23 [3.627–72.63]; p<0.001), and severe fibrosis (F2; HR 9.523 [1.14–79.3]; p = 0.037).ConclusionsFive risk factors for local recurrence after ESD were identified. Patients with such factors should undergo careful surveillance colonoscopy.
Just add water: Rainfall‐induced anther closure and color change in Ripariosida hermaphrodita (Malvaceae)
Authors: Humphreys Emily A. , Skema Cynthia 
Published: July 2023

AbstractAnther opening has commonly been thought of as unidirectional, but reports of anthers closing in response to rainfall show this is not the case. In some species, anther closure can protect pollen from degrading or washing away, thus possibly enhancing male fitness. Similarly, although floral color is often presumed to be static, numerous floral parts may change color during blooming. These color changes primarily occur in response to pollination or aging, thus potentially increasing pollination efficiency by directing floral visitors to recently opened, unpollinated flowers. Daily observations of 364 Ripariosida hermaphrodita flowers from seven individuals showed that anthers that were purple, open, and shedding pollen became beige colored and tightly closed after rainfall. These findings were further supported by observations of plants exposed to simulated rainfall in a greenhouse and time‐lapse photography of flowers misted with water. To our knowledge, our work represents the first report of anther closure in response to rain in Malvaceae and the first report of floral color change induced by rainfall.
Evolutionary history of an Alpine Archaeognath (Machilis pallida): Insights from different variant
Authors: Haider Marlene , Schilling Martin P. , Moest Markus H. , Steiner Florian M. , Schlick‐Steiner Birgit C. , Arthofer Wolfgang 
Published: July 2023

AbstractReconstruction of species histories is a central aspect of evolutionary biology. Patterns of genetic variation within and among populations can be leveraged to elucidate evolutionary processes and demographic histories. However, interpreting genetic signatures and unraveling the contributing processes can be challenging, in particular for non‐model organisms with complex reproductive modes and genome organization. One way forward is the combined consideration of patterns revealed by different molecular markers (nuclear vs. mitochondrial) and types of variants (common vs. rare) that differ in their age, mode, and rate of evolution. Here, we applied this approach to RNAseq data generated for Machilis pallida (Archaeognatha), an Alpine jumping bristletail considered parthenogenetic and triploid. We generated de novo transcriptome and mitochondrial assemblies to obtain high‐density data to investigate patterns of mitochondrial and common and rare nuclear variation in 17 M. pallida individuals sampled from all known populations. We find that the different variant types capture distinct aspects of the evolutionary history and discuss the observed patterns in the context of parthenogenesis, polyploidy, and survival during glaciation. This study highlights the potential of different variant types to gain insights into evolutionary scenarios even from challenging but often available data and the suitability of M. pallida and the genus Machilis as a study system for the evolution of sexual strategies and polyploidization during environmental change. We also emphasize the need for further research which will be stimulated and facilitated by these newly generated resources and insights.