bluuebunny/crossref_metadata_2025 huggingface dataset:
Synaptic gradients transform object location to action
Authors: Dombrovski Mark , Peek Martin Y. , Park Jin-Yong , Vaccari Andrea , Sumathipala Marissa , Morrow Carmen , Breads Patrick , Zhao Arthur , Kurmangaliyev Yerbol Z. , Sanfilippo Piero , Rehan Aadil , Polsky Jason , Alghailani Shada , Tenshaw Emily , Namiki Shigehiro , Zipursky S. Lawrence , Card Gwyneth M.
Published: January 2023

To survive, animals must convert sensory information into appropriate behaviours1,2. Vision is a common sense for locating ethologically relevant stimuli and guiding motor responses3–5. How circuitry converts object location in retinal coordinates to movement direction in body coordinates remains largely unknown. Here we show through behaviour, physiology, anatomy and connectomics in Drosophila that visuomotor transformation occurs by conversion of topographic maps formed by the dendrites of feature-detecting visual projection neurons (VPNs)6,7 into synaptic weight gradients of VPN outputs onto central brain neurons. We demonstrate how this gradient motif transforms the anteroposterior location of a visual looming stimulus into the fly’s directional escape. Specifically, we discover that two neurons postsynaptic to a looming-responsive VPN type promote opposite takeoff directions. Opposite synaptic weight gradients onto these neurons from looming VPNs in different visual field regions convert localized looming threats into correctly oriented escapes. For a second looming-responsive VPN type, we demonstrate graded responses along the dorsoventral axis. We show that this synaptic gradient motif generalizes across all 20 primary VPN cell types and most often arises without VPN axon topography. Synaptic gradients may thus be a general mechanism for conveying spatial features of sensory information into directed motor outputs.
Neonatal imprinting of alveolar macrophages via neutrophil-derived 12-HETE
Authors: Pernet Erwan , Sun Sarah , Sarden Nicole , Gona Saideep , Nguyen Angela , Khan Nargis , Mawhinney Martin , Tran Kim A. , Chronopoulos Julia , Amberkar Dnyandeo , Sadeghi Mina , Grant Alexandre , Wali Shradha , Prevel Renaud , Ding Jun , Martin James G. , Thanabalasuriar Ajitha , Yipp Bryan G. , Barreiro Luis B. , Divangahi Maziar
Published: January 2023

Resident-tissue macrophages (RTMs) arise from embryonic precursors1,2, yet the developmental signals that shape their longevity remain largely unknown. Here we demonstrate in mice genetically deficient in 12-lipoxygenase and 15-lipoxygenase (Alox15−/− mice) that neonatal neutrophil-derived 12-HETE is required for self-renewal and maintenance of alveolar macrophages (AMs) during lung development. Although the seeding and differentiation of AM progenitors remained intact, the absence of 12-HETE led to a significant reduction in AMs in adult lungs and enhanced senescence owing to increased prostaglandin E2 production. A compromised AM compartment resulted in increased susceptibility to acute lung injury induced by lipopolysaccharide and to pulmonary infections with influenza A virus or SARS-CoV-2. Our results highlight the complexity of prenatal RTM programming and reveal their dependency on in trans eicosanoid production by neutrophils for lifelong self-renewal.
A dataset for plain language adaptation of biomedical abstracts
Authors: Attal Kush , Ondov Brian , Demner-Fushman Dina
Published: January 2023

Though exponentially growing health-related literature has been made available to a broad audience online, the language of scientific articles can be difficult for the general public to understand. Therefore, adapting this expert-level language into plain language versions is necessary for the public to reliably comprehend the vast health-related literature. Deep Learning algorithms for automatic adaptation are a possible solution; however, gold standard datasets are needed for proper evaluation. Proposed datasets thus far consist of either pairs of comparable professional- and general public-facing documents or pairs of semantically similar sentences mined from such documents. This leads to a trade-off between imperfect alignments and small test sets. To address this issue, we created the Plain Language Adaptation of Biomedical Abstracts dataset. This dataset is the first manually adapted dataset that is both document- and sentence-aligned. The dataset contains 750 adapted abstracts, totaling 7643 sentence pairs. Along with describing the dataset, we benchmark automatic adaptation on the dataset with state-of-the-art Deep Learning approaches, setting baselines for future research.
A high-adaptability nozzle-array printing system based on a set covering printing planning model for printed display manufacturing
Authors: Wang Yixin , Chen Jiankui , Yin Zhouping , Li Yiqun
Published: January 2023

Inkjet printing technology is expected to enhance printed display mass production technology in the future. Nozzle-array printheads form the basis for printed display mass production applications. However, jet instability caused by air bubble entrapment and nozzle wettability changes during the printing process is a major challenge in the application of this technology. To adapt to possible nozzle abnormalities, a high-adaptability nozzle-array printing system based on a set covering printing planning (SCPP) model for printed display manufacturing is designed in this study. The study consists of two parts. First, a printing system based on multistep visual inspection and closed-loop feedback is proposed to accurately detect and screen abnormal nozzle positions. Notably, the inkjet printing system can identify nozzles with abnormal ejection characteristics and ensure that the remaining nozzles work accurately and stably. Then, an SCPP model is established for display pixel printing planning by using the remaining normal nozzles on the nozzle-array printhead. This model can output the most efficient printing path and nozzle printing action and can adapt to any pixel pattern, nozzle type, and abnormal nozzle distribution. The system and technology are highly adaptable and scalable for fabricating large-area printed display devices.
Integrated network pharmacology and experimental validation to explore the mechanisms underlying naringenin treatment of chronic wounds
Authors: Sun Rui , Liu Chunyan , Liu Jian , Yin Siyuan , Song Ru , Ma Jiaxu , Cao Guoqi , Lu Yongpan , Zhang Guang , Wu Zhenjie , Chen Aoyu , Wang Yibing
Published: January 2023

Naringenin is a citrus flavonoid with various biological functions and a potential therapeutic agent for skin diseases, such as UV radiation and atopic dermatitis. The present study investigates the therapeutic effect and pharmacological mechanism of naringenin on chronic wounds. Using network pharmacology, we identified 163 potential targets and 12 key targets of naringenin. Oxidative stress was confirmed to be the main biological process modulated by naringenin. The transcription factor p65 (RELA), alpha serine/threonine-protein kinase (AKT1), mitogen-activated protein kinase 1 (MAPK1) and mitogen-activated protein kinase 3 (MAPK3) were identified as common targets of multiple pathways involved in treating chronic wounds. Molecular docking verified that these four targets stably bound naringenin. Naringenin promoted wound healing in mice in vivo by inhibiting wound inflammation. Furthermore, in vitro experiments showed that a low naringenin concentration did not significantly affect normal skin cell viability and cell apoptosis; a high naringenin concentration was cytotoxic and reduced cell survival by promoting apoptosis. Meanwhile, comprehensive network pharmacology, molecular docking and in vivo and in vitro experiments revealed that naringenin could treat chronic wounds by alleviating oxidative stress and reducing the inflammatory response. The underlying mechanism of naringenin in chronic wound therapy involved modulating the RELA, AKT1 and MAPK1/3 signalling pathways to inhibit ROS production and inflammatory cytokine expression.
Social feedback enhances learning in Williams syndrome
Authors: Kleberg Johan Lundin , Willfors Charlotte , Björlin Avdic Hanna , Riby Deborah , Galazka Martyna A. , Guath Mona , Nordgren Ann , Strannegård Claes
Published: January 2023

Williams syndrome (WS) is a rare genetic condition characterized by high social interest and approach motivation as well as intellectual disability and anxiety. Despite the fact that social stimuli are believed to have an increased intrinsic reward value in WS, it is not known whether this translates to learning and decision making. Genes homozygously deleted in WS are linked to sociability in the general population, making it a potential model condition for understanding the social brain. Probabilistic reinforcement learning was studied with either social or non-social rewards for correct choices. Social feedback improved learning in individuals with Williams syndrome but not in typically developing controls or individuals with other intellectual disabilities. Computational modeling indicated that these effects on social feedback were mediated by a shift towards higher weight given to rewards relative to punishments and increased choice consistency. We conclude that reward learning in WS is characterized by high volatility and a tendency to learn how to avoid punishment rather than how to gain rewards. Social feedback can partly normalize this pattern and promote adaptive reward learning.
Effects of the exercise-inducible myokine irisin on proliferation and malignant properties of ovarian cancer cells through the HIF-1 α signaling pathway
Authors: Alizadeh Zarei Marziyeh , Seyed Hosseini Elahe , Haddad Kashani Hamed , Ahmad Ejaz , Nikzad Hossein
Published: January 2023

Exercise has been shown to be associated with reduced risk and improving outcomes of several types of cancers. Irisin -a novel exercise-related myokine- has been proposed to exert beneficial effects in metabolic disorders including cancer. No previous studies have investigated whether irisin may regulate malignant characteristics of ovarian cancer cell lines. In the present study, we aimed to explore the effect of irisin on viability and proliferation of ovarian cancer cells which was examined by MTT assay. Then, we evaluated the migratory and invasive abilities of the cells via transwell assays. Moreover, the percentage of apoptosis induction was determined by flow cytometry. Furthermore, the mRNA expression level of genes related to the aerobic respiration (HIF-1α, c-Myc, LDHA, PDK1 and VEGF) was detected by real-time PCR. Our data revealed that irisin treatment significantly attenuated the proliferation, migration and invasion of ovarian cancer cells. Additionally, irisin induced apoptosis in ovarian cancer cells. We also observed that irisin regulated the expression of genes involved in aerobic respiration of ovarian cancer cells. Our results indicated that irisin may play a crucial role in inhibition of cell growth and malignant characteristics of ovarian cancer. These findings may open up avenues for future studies to identify the further therapeutic use of irisin in ovarian cancer management.
End-to-end differentiable blind tip reconstruction for noisy atomic force microscopy images
Authors: Matsunaga Yasuhiro , Fuchigami Sotaro , Ogane Tomonori , Takada Shoji
Published: January 2023

Observing the structural dynamics of biomolecules is vital to deepening our understanding of biomolecular functions. High-speed (HS) atomic force microscopy (AFM) is a powerful method to measure biomolecular behavior at near physiological conditions. In the AFM, measured image profiles on a molecular surface are distorted by the tip shape through the interactions between the tip and molecule. Once the tip shape is known, AFM images can be approximately deconvolved to reconstruct the surface geometry of the sample molecule. Thus, knowing the correct tip shape is an important issue in the AFM image analysis. The blind tip reconstruction (BTR) method developed by Villarrubia (J Res Natl Inst Stand Technol 102:425, 1997) is an algorithm that estimates tip shape only from AFM images using mathematical morphology operators. While the BTR works perfectly for noise-free AFM images, the algorithm is susceptible to noise. To overcome this issue, we here propose an alternative BTR method, called end-to-end differentiable BTR, based on a modern machine learning approach. In the method, we introduce a loss function including a regularization term to prevent overfitting to noise, and the tip shape is optimized with automatic differentiation and backpropagations developed in deep learning frameworks. Using noisy pseudo-AFM images of myosin V motor domain as test cases, we show that our end-to-end differentiable BTR is robust against noise in AFM images. The method can also detect a double-tip shape and deconvolve doubled molecular images. Finally, application to real HS-AFM data of myosin V walking on an actin filament shows that the method can reconstruct the accurate surface geometry of actomyosin consistent with the structural model. Our method serves as a general post-processing for reconstructing hidden molecular surfaces from any AFM images. Codes are available at https://github.com/matsunagalab/differentiable_BTR.
GSDMD deficiency ameliorates hyperoxia-induced BPD and ROP in neonatal mice
Authors: Sonny Sarah , Yuan Huijun , Chen Shaoyi , Duncan Matthew R. , Chen Pingping , Benny Merline , Young Karen , Park Kevin K. , Schmidt Augusto F. , Wu Shu
Published: January 2023

Bronchopulmonary dysplasia (BPD) and retinopathy of prematurity (ROP) are among the most common morbidities affecting extremely premature infants who receive oxygen therapy. Many clinical studies indicate that BPD is associated with advanced ROP. However, the mechanistic link between hyperoxia, BPD, and ROP remains to be explored. Gasdermin D (GSDMD) is a key executor of inflammasome-induced pyroptosis and inflammation. Inhibition of GSDMD has been shown to attenuate hyperoxia-induced BPD and brain injury in neonatal mice. The objective of this study was to further define the mechanistic roles of GSDMD in the pathogenesis of hyperoxia-induced BPD and ROP in mouse models. Here we show that global GSDMD knockout (GSDMD-KO) protects against hyperoxia-induced BPD by reducing macrophage infiltration, improving alveolarization and vascular development, and decreasing cell death. In addition, GSDMD deficiency prevented hyperoxia-induced ROP by reducing vasoobliteration and neovascularization, improving thinning of multiple retinal tissue layers, and decreasing microglial activation. RNA sequencing analyses of lungs and retinas showed that similar genes, including those from inflammatory, cell death, tissue remodeling, and tissue and vascular developmental signaling pathways, were induced by hyperoxia and impacted by GSDMD-KO in both models. These data highlight the importance of GSDMD in the pathogenesis of BPD and ROP and suggest that targeting GSDMD may be beneficial in preventing and treating BPD and ROP in premature infants.
Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data
Authors: Bhuyan Kushanav , Tanyaş Hakan , Nava Lorenzo , Puliero Silvia , Meena Sansar Raj , Floris Mario , van Westen Cees , Catani Filippo
Published: January 2023

Mapping of landslides over space has seen an increasing attention and good results in the last decade. While current methods are chiefly applied to generate event-inventories, whereas multi-temporal (MT) inventories are rare, even using manual landslide mapping. Here, we present an innovative deep learning strategy which employs transfer learning that allows for the Attention Deep Supervision Multi-Scale U-Net model to be adapted for landslide detection tasks in new areas. The method also provides the flexibility of re-training a pretrained model to detect both rainfall- and earthquake-triggered landslides on new target areas. For the mapping, we used archived Planet Lab remote sensing images spanning a period between 2009 till 2021 with spatial resolution of 3–5 m to systematically generate MT landslide inventories. When we examined all cases, our approach provided an average F1 score of 0.8 indicating that we successfully identified the spatiotemporal occurrences of landslides. To examine the size distribution of mapped landslides we compared the frequency-area distributions of predicted co-seismic landslides with manually mapped products from the literature. Results showed a good match between calculated power-law exponents where the difference ranges between 0.04 and 0.21. Overall, this study showed that the proposed algorithm could be applied to large areas to generate polygon-based MT landslide inventories.
Association between different sensory modalities based on concurrent time series data obtained by a collaborative reservoir computing model
Authors: Kanemura Itsuki , Kitano Katsunori
Published: January 2023

Humans perceive the external world by integrating information from different modalities, obtained through the sensory organs. However, the aforementioned mechanism is still unclear and has been a subject of widespread interest in the fields of psychology and brain science. A model using two reservoir computing systems, i.e., a type of recurrent neural network trained to mimic each other's output, can detect stimulus patterns that repeatedly appear in a time series signal. We applied this model for identifying specific patterns that co-occur between information from different modalities. The model was self-organized by specific fluctuation patterns that co-occurred between different modalities, and could detect each fluctuation pattern. Additionally, similarly to the case where perception is influenced by synchronous/asynchronous presentation of multimodal stimuli, the model failed to work correctly for signals that did not co-occur with corresponding fluctuation patterns. Recent experimental studies have suggested that direct interaction between different sensory systems is important for multisensory integration, in addition to top-down control from higher brain regions such as the association cortex. Because several patterns of interaction between sensory modules can be incorporated into the employed model, we were able to compare the performance between them; the original version of the employed model incorporated such an interaction as the teaching signals for learning. The performance of the original and alternative models was evaluated, and the original model was found to perform the best. Thus, we demonstrated that feedback of the outputs of appropriately learned sensory modules performed the best when compared to the other examined patterns of interaction. The proposed model incorporated information encoded by the dynamic state of the neural population and the interactions between different sensory modules, both of which were based on recent experimental observations; this allowed us to study the influence of the temporal relationship and frequency of occurrence of multisensory signals on sensory integration, as well as the nature of interaction between different sensory signals.
Precision medicine: affording the successes of science
Authors: Lu Christine Y. , Terry Vera , Thomas David M.
Published: January 2023

Science has made remarkable advances in understanding the molecular basis of disease, generating new and effective rationally-designed treatments at an accelerating rate. Ironically, the successes of science is creating a crisis in the affordability of equitable health care. The COVID-19 pandemic underscores both the value of science in health care, and the apparently inevitable tension between health and the economy. Drug development in ever-smaller target populations is a critical component of the rising costs of care. For structural and historical reasons, drug development is inefficient and poorly integrated across the public and private sectors. We postulate an alternative, integrated model in which governments and industry share the risks and benefits of drug development. The Australian government recently announced support for a AU$185 million innovative multi-stakeholder public-private partnership model for sustainable precision oncology, accelerating biomarker-dependent drug development through integrating clinical trials into the standard of care.
Human theca arises from ovarian stroma and is comprised of three discrete subtypes
Authors: Guahmich Nicole Lustgarten , Man Limor , Wang Jerry , Arazi Laury , Kallinos Eleni , Topper-Kroog Ariana , Grullon Gabriel , Zhang Kimberly , Stewart Joshua , Schatz-Siemers Nina , Jones Sam H. , Bodine Richard , Zaninovic Nikica , Schattman Glenn , Rosenwaks Zev , James Daylon
Published: January 2023

Theca cells serve multiple essential functions during the growth and maturation of ovarian follicles, providing structural, metabolic, and steroidogenic support. While the function of theca during folliculogenesis is well established, their cellular origins and the differentiation hierarchy that generates distinct theca sub-types, remain unknown. Here, we performed single cell multi-omics analysis of primary cell populations purified from human antral stage follicles (1–3 mm) to define the differentiation trajectory of theca/stroma cells. We then corroborated the temporal emergence and growth kinetics of defined theca/stroma subpopulations using human ovarian tissue samples and xenografts of cryopreserved/thawed ovarian cortex, respectively. We identified three lineage specific derivatives termed structural, androgenic, and perifollicular theca cells, as well as their putative lineage-negative progenitor. These findings provide a framework for understanding the differentiation process that occurs in each primordial follicle and identifies specific cellular/molecular phenotypes that may be relevant to either diagnosis or treatment of ovarian pathologies.
Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models
Authors: Mukherjee Anirban , Berthusen Noah F. , Getelina João C. , Orth Peter P. , Yao Yong-Xin
Published: January 2023

Hybrid quantum-classical embedding methods for correlated materials simulations provide a path towards potential quantum advantage. However, the required quantum resources arising from the multi-band nature ofdandfelectron materials remain largely unexplored. Here we compare the performance of different variational quantum eigensolvers in ground state preparation for interacting multi-orbital embedding impurity models, which is the computationally most demanding step in quantum embedding theories. Focusing on adaptive algorithms and models with 8 spin-orbitals, we show that state preparation with fidelities better than 99.9% can be achieved using about 214shots per measurement circuit. When including gate noise, we observe that parameter optimizations can still be performed if the two-qubit gate error lies below 10−3, which is slightly smaller than current hardware levels. Finally, we measure the ground state energy on IBM and Quantinuum hardware using a converged adaptive ansatz and obtain a relative error of 0.7%.
Metal-free synthesis of unsymmetric bis(thioesters)
Authors: Bołt Małgorzata , Mermela Aleksandra , Hanek Kamil , Żak Patrycja
Published: January 2023

The first metal-free protocol for efficient synthesis of unsymmetric bis(thioesters) via functionalization of dithiols with two different α,β-unsaturated aldehydes is presented.
Hoechst-tagged radioiodinated BODIPY derivative for Auger-electron cancer therapy
Authors: Onoue Ryotaro , Watanabe Hiroyuki , Ono Masahiro
Published: January 2023

We designed and synthesized a DNA-binding Hoechst-tagged radioiodinated BODIPY derivative as a radiopharmaceutical for Auger-electron cancer therapy.
Visible-light-induced C(sp3)–C(sp3) bond formationviaradical/radical cross-coupling
Authors: Li Haoyuan , Li Sen , Hu Huimin , Sun Runbo , Liu Meixia , Ding Anjun , Liu Xiaoyong , Luo Wenlin , Fu Zhengjiang , Guo Shengmei , Cai Hu
Published: January 2023

Radical/radical cross-coupling remains challenging due to diffusion control issues.
High-temperature negative thermal quenching phosphors from molecular-based materials
Authors: Miao Huixian , Zhou Yujie , Wang Pingping , Huang Zetao , Zhaxi Wenjiang , Liu Luying , Duan Fengnan , Wang Jinmin , Ma Xiao , Jiang Shenlong , Huang Wei , Zhang Qun , Wu Dayu
Published: January 2023

High-temperature negative thermal quenching (NTQ) phosphors functions via ligand's electronic delocalization-to-localization transition for fabrication of high-performance light-emitting devices.
Proximity ligation-transcription circuit-powered exponential amplifications for single-molecule monitoring of telomerase in human cells
Authors: Wang Li-juan , Lv Meng-meng , Hu Jin-ping , Liu Meng , Zhang Chun-yang
Published: January 2023

We develop a new strategy for single-molecule monitoring of telomerase based on proximity ligation-transcription circuit-powered exponential amplifications.
Sequential click modification of a lithium-ion endohedral fullerene connecting small molecules through a dieneazide linker
Authors: Fujiki Shogo , Takada Takumi , Nagasawa Shota , Okada Hiroshi , Sasano Yusuke , Kwon Eunsang , Matsuo Yutaka , Iwabuchi Yoshiharu
Published: January 2023

A versatile method for the chemical modification of a lithium-ion endohedral fullerene (Li+@C60) to connect various small molecules is described.
Advances in electrically driven light-emitting diodes based on lead-free metal halides
Authors: Xue Shu-Hua , Yao Jia-Yu , Xu Liang-Jin , Chen Zhong-Ning
Published: January 2023

More and more luminescent lead-free metal halides containing Cu(i), Mn(ii), Sb(iii), Sn(ii) and rare-earth halides are developed toward highly efficient electrically-driven light emitting diodes.
Adjustable high-speed and directional diffusion of water nanodroplets confined by graphene sheets
Authors: Deng Lijun , Qiu Hai , Wang Ben , Guo Zaoyang
Published: January 2023

Diffusion of confined water is important in nanofluidic and other water transport systems.
Investigation on the interaction mechanism of different SARS-CoV-2 spike variants with hACE2: insights from molecular dynamics simulations
Authors: Wu Jianhua , Zhang Hong-Xing , Zhang Jilong
Published: January 2023

SARS-CoV-2 RBDs after single (D614G), double (D614G + L452R and D614G + N501Y), triple (D614G + N501Y + E484K), and quadruple (D614G + N501Y + E484K + K417T) mutations result in variants with different binding affinities for hACE2 receptor protein.
Adsorption of 6-MHO on two indoor relevant surface materials: SiO2 and TiO2
Authors: Frank Elianna S. , Fan Hanyu , Grassian Vicki H. , Tobias Douglas J.
Published: January 2023

A computational and experimental study of the skin ozonolysis product 6-MHO with the indoor surfaces SiO2 and TiO2 reveals H-bonding interactions of 6-MHO with both surfaces and CO⋯Ti associations with TiO2.
Determining interchromophore effects for energy transport in molecular networks using machine-learning algorithms
Authors: Rolczynski Brian S. , Díaz Sebastián A. , Kim Young C. , Mathur Divita , Klein William P. , Medintz Igor L. , Melinger Joseph S.
Published: January 2023

Structural DNA nanotechnology provides structural control in molecular networks. Machine-learning algorithms are used to understand energy-transport in these tightly controlled systems.
Bio-SAXS of single-stranded DNA-binding proteins: radiation protection by the compatible solute ectoine
Authors: Hallier Dorothea C. , Smales Glen J. , Seitz Harald , Hahn Marc Benjamin
Published: January 2023

Small-angle X-ray scattering (SAXS) is used for structural determination of biomolecules in liquids. To prevent radiation damage during bio-SAXS at single-stranded DNA-binding proteins the OH-radical scavenger and compatible solute Ectoine is used.
Mechanistic study to reveal steric and electronic aspects involved in the formation of microstructures during Pd-catalyzed olefin/divinyl formal copolymerization: reactivity to catalyst choice
Authors: Mehmood Andleeb , Mahmood Ayyaz , Xu Xiaowei , Raza Waseem , Ahmed Shehzad , Ullah Naeem , Luo Yi , Tian Xiaoqing
Published: January 2023

The advancement of metal-catalyzed copolymers is a formidable challenge for achieving distinct catalytic properties to compete with existing plastic polymers in industrial commodities.
Investigation of a bacteriochlorin-containing pentad array for panchromatic light-harvesting and charge separation
Authors: Jing Haoyu , Magdaong Nikki Cecil M. , Diers James R. , Kirmaier Christine , Bocian David F. , Holten Dewey , Lindsey Jonathan S.
Published: January 2023

A crossbar array composed of a panchromatic light-harvesting triad and charge-separation triad has been synthesized and examined in fundamental photophysical studies.
Gas-phase oxidative dehydrogenation of long chain alkenols for the production of key fragrance ingredients: from Rosalva isomers to Costenal analogues
Authors: De Maron Jacopo , Tabanelli Tommaso , Ospitali Francesca , Lopez Cruz Carlos , Righi Paolo , Cavani Fabrizio
Published: January 2023

Continuous-flow, gas-phase selective oxidative dehydrogenation (ODH) of unsaturated long chain alcohols (i.e. decen-1-ol isomers) to the corresponding aldehydes over an innovative, highly dispersed Cu-based catalyst supported over ferrite.
Evolutionary design of machine-learning-predicted bulk metallic glasses
Authors: Forrest Robert M. , Greer A. Lindsay
Published: January 2023

We use a genetic algorithm driven by a neural-network to efficiently search for glass forming alloy candidates.
Rationally designed Mn2O3@ZnMn2O4/C core–shell hollow microspheres for aqueous zinc-ion batteries
Authors: Gao Zhan , Lu Guo-ge , Cao Liu-cheng , Zhu Zong-xiu , Li Ying-xin , Wei Fu-xiang , Ji Zhe , Sui Yan-wei , Qi Ji-qiu , Meng Qing-kun , Ren Yao-jian
Published: January 2023

The Mn2O3@ZnMn2O4/C hollow microspheres were synthesized by room-temperature stirring and then annealing under air atmosphere. Benefiting from the unique structure, its application in AZIBs as cathode exhibits excellent electrochemical performance.
Solvent-mediated crystallization of (TMS)2BiBr5·DMSO: a new 0D hybrid halide perovskite
Authors: Das Suman S. , Pradhan Abinash , Samal Saroj L.
Published: January 2023

A new lead-free 0D hybrid halide perovskite containing isolated [BiBr5·DMSO]2− polyhedra was synthesized, which has an indirect band gap of 2.79 eV.
Triggering reversible anion redox chemistry in O3-type cathodes by tuning Na/Mn anti-site defects
Authors: Yu Yang , Zhang Jicheng , Gao Rui , Wong Deniz , An Ke , Zheng Lirong , Zhang Nian , Schulz Christian , Liu Xiangfeng
Published: January 2023

We propose the triggering of reversible anion redox chemistry in the O3-NaMn1/3Fe1/3Ni1/3O2 cathode by tuning Na/Mn anti-site defects with Ho doping.
Selective hydrogenolysis of bio-renewable tetrahydrofurfurylamine to piperidine on ReOx-modified Rh catalysts
Authors: Hong Cheng-Bin , Li Guoliang , Liu Haichao
Published: January 2023

Piperidine has been efficiently synthesized by a one-pot approach from biomass-derived tetrahydrofurfurylamine via its selective hydrogenolysis to 5-amino-1-pentanol and the sequential amination of 5-amino-1-pentanol on supported Rh–ReOx catalysts.
Mild organosolv pretreatment of sugarcane bagasse with acetone/phenoxyethanol/water for enhanced sugar production
Authors: Li Wuhuan , Tan Xuesong , Miao Changlin , Zhang Zhanying , Wang Yunxuan , Ragauskas Arthur J. , Zhuang Xinshu
Published: January 2023

APW pretreatment of SCB for enhanced sugar production and correlation analysis of pretreated SCB and EHE.
Portable light-sheet optofluidic microscopy for 3D fluorescence imaging flow cytometry
Authors: Son Jeonghwan , Mandracchia Biagio , Silva Trenkle Aaron D. , Kwong Gabriel A. , Jia Shu
Published: January 2023

Imaging flow cytometry (IFC) combines conventional flow cytometry with optical microscopy, allowing for high-throughput, multi-parameter screening of single-cell specimens with morphological and spatial information.
Atomistic simulations of chitosan as a possible carrier system for miRNA transport
Authors: Avdoshin Alexander , Naumov Vladimir , Ciacchi Lucio Colombi , Ignatov Stanislav , Köppen Susan
Published: January 2023

Molecular dynamics simulations of miRNA–chitosan complexes are performed with various compositions of chitosan (GlcN, GlcN(+) and GlcNAc). DP and FA showed a significant influence on the formation of molecular complexes.
Preparation and photocatalytic activity of ZnGa2O4-β-Ga2O3 thin films
Authors: Promdet Premrudee , Carmalt Claire J. , Parkin Ivan P.
Published: January 2023

Photocatalytic zinc gallate thin films were fabricated by aerosol-assisted chemical vapor deposition (AACVD). The photocatalytic enhancement of ZnGa2O4-β-Ga2O3 compared with ZnGa2O4 thin films results from heterojunction interface facilitating charge separation.
Thermally conductive and compliant polyurethane elastomer composites by constructing a tri-branched polymer network
Authors: Shi Hengyi , Zhou Wei , Wen Zhibin , Wang Weixuan , Zeng Xiaoliang , Sun Rong , Ren Linlin
Published: January 2023

This work synthesizes three kinds of polyurethane elastomers to verify the relationship between macroscopic and viscoelastic properties with the given branched factor of work.
Albumin-based nanoparticles: small, uniform and reproducible
Authors: Thalhammer-Thurner Gudrun C. , Debbage Paul
Published: January 2023

Simple and up-scalable synthesis method for human serum albumin nanoparticles with narrow size distribution, tunable size range, stable and reproducible.
All-2D material photonic devices
Authors: Kim Sejeong
Published: January 2023

Two-dimensional (2D) materials are extensively studied in almost all scientific research areas, from fundamental research to applications. In this review, photonic devices that solely consist of 2D materials are introduced.
Fluorescence sensor using porous host molecules deposited on filter paper with vapochromic and mechanochromic properties
Authors: Umezane Sota , Fukutomi Satoshi , Ono Toshikazu , Hisaeda Yoshio , Nishimura Tomoki , Kawasaki Riku , Ikeda Atsushi
Published: January 2023

Naphthalenediimide derivative-absorbed papers had fluorescence intensity and maximum depending on the type of guest aromatic molecules after exposure to vapors of small 10 guest molecules. Furthermore, the papers showed a mechanochromic property.
Study of the growth parameters of multiwalled carbon nanotubes
Authors: Chu Dianming , Dong Qianpeng , Bai Wenjuan , Zhang Tianle , Qu Qi , Lu Lingxiao , Yan Chao , He Yan
Published: January 2023

It is reported for the first time that the quality and yield of MWCNTs varies significantly with different placement locations.
A flexible hierarchical MoS2 nanosheet coated glass fabric via direct hydrothermal deposition for efficient solar-driven steam generation
Authors: Chang Yuhong , Ma Xuebing , Zhao Pengfei
Published: January 2023

A flexible and tailorable solar evaporator has a hierarchical porous microstructure assisting light harvesting and water transportation.
Low-temperature metal-catalyzed synthesis of encapsulated metal oxide nanoparticles in nitrogen-doped carbon nanotubes from carbon nitride as anodic materials of high-performance lithium-ion batteries
Authors: Chen Ming , Liu Feng-Ming , Chen Shan-Shuai , Qian Xing , Zhao Yi-Jing , Sun Yan , Li Chun-Sheng , Wan Rong , Yuan Zhong-Yong
Published: January 2023

Metal oxide nanoparticles encapsulated and nitrogen-doped carbon nanotubes was prepared by a novel low-temperature metal-catalyzed synthesis strategy from carbon nitride as anodic materials of high-performance lithium-ion batteries.
Natural nematicidal metabolites and advances in their biocontrol capacity on plant parasitic nematodes
Authors: Li Guo-Hong , Zhang Ke-Qin
Published: January 2023

Natural nematicidal metabolites are important sources of plant parasitic nematodes control.
Tunable reactivity of silver nanoclusters: a facile route to synthesize a range of bimetallic nanostructures
Authors: Chakraborty Amrita , Stanley Megha Maria , Mondal Biswajit , Nonappa  , Bodiuzzaman Mohammad , Chakraborty Papri , Kannan M. P. , Pradeep Thalappil
Published: January 2023

Silver nanoclusters react with gold nanotriangles at room temperature to produce Au–Ag bimetallic nanostructures in solution. Unique core–shell or alloy nanostructures are obtained by tuning the nanocluster composition and reaction conditions.
Sequential condensation and double desulfonylative cyclopropanation of 1,2-bis(sulfonylmethyl)arenes with 3-arylacroleins: access to biscyclopropane-fused tetralins
Authors: Hsueh Nai-Chen , Wang Yu-Han , Chang Meng-Yang
Published: January 2023

Efficient tBuOK-mediated sequential condensation and double desulfonylative cyclopropanation of 1,2-bis(sulfonylmethyl)arenes with 3-arylacroleins generates biscyclopropane-fused tetralins with six contiguous stereogenic centers in good yields.
Light-accelerated “on-water” hydroacylation of dialkyl azodicarboxylates
Authors: Stini Naya A. , Poursaitidis Efthymios T. , Nikitas Nikolaos F. , Kartsinis Michail , Spiliopoulou Nikoleta , Ananida-Dasenaki Phoebe , Kokotos Christoforos G.
Published: January 2023

A light-promoted hydroacylation of dialkyl azodicarboxylates in moderate to high yields (52–97%) and short reaction times (15–210 min) is described. Application of the reaction in the synthesis of Moclobemide and Vorinostat is demonstrated.
Polyoxometalate-derived bimetallic catalysts for the nitrogen reduction reaction
Authors: Li Xiaohan , Xue Cong , Zhou Xinru , Wei Yuao , Yu Yingjie , Fu Yu , Liu Wenjing , Lan Yaqian
Published: January 2023

The application of iron-bridged polyoxometalates has firstly been studied. We propose a new molecule-to-particle synthetic strategy to synthesize a family of bimetallic composites as NRR catalysts with excellent stability and reproducibility.
The nonhalides in perovskite solar cells
Authors: Wang Shurong , Wu Cheng , Yao Huanhuan , Ding Liming , Hao Feng
Published: January 2023

This review summarizes the current research progress of SCN−, HCCO−, Ac−, BF4−, BH4−, and PF6−as emerging nonhalide anions to realize high structurally stable perovskites and related solar cells.
Potentiometric determination of mebeverine hydrochloride antispasmodic drug based on molecular docking with different ionophores host–guest inclusion as a theoretical study
Authors: Abdel-Raoof Ahmed M. , Fouad Manal M. , Rashed Noha S. , Hosni Noha Y. Z. , Elsonbaty Ahmed , Abdel-Fattah Ashraf
Published: January 2023

A novel ion selective sensor for detecting MBV in pharmaceutical formulations has been fabricated supported by computational molecular modeling methods.
Computational study of linear carbon chain based organic dyes for dye sensitized solar cells
Authors: Consiglio Giuseppe , Gorcyński Adam , Petralia Salvatore , Forte Giuseppe
Published: January 2023

Photophysical properties of a new family of LCC-based dyes for applications in DSSC are predicted. Superior properties are shown by compounds with pyrrole ring as donor group, PY-3N is expected to be a promising candidate for applications.
Fabrication of bio-inspired metal-based superhydrophilic and underwater superoleophobic porous materials by hydrothermal treatment and magnetron sputtering
Authors: Al-akhali Adham Hussein Abdullah Farea , Tang Zhengqiang
Published: January 2023

Oil–water separation using porous superhydrophilic materials is a promising method to circumvent the issue of oil-polluted water by separating water from oil–water mixtures.
Experimental and modelling studies of carbon dioxide capture onto pristine, nitrogen-doped, and activated ordered mesoporous carbons
Authors: Rama Mohan Talla Venkata , Sridhar Palla , Selvam Parasuraman
Published: January 2023

The present paper discusses the shaping factors of metal-free ordered mesoporous carbon synthesis for carbon dioxide sorption at high pressures. These results can be used as future guidelines in preparing carbon for gas adsorption studies.
Solubilization of sulfuric acid lignin by ball mill treatment with excess amounts of organic compounds
Authors: Takada Masatsugu , Okazaki Yutaka , Kawamoto Haruo , Sagawa Takashi
Published: January 2023

Ball milling with excess amounts of additives enhanced the solubility of poor solubility lignins in DMF.
Design and synthesis of a clickable, photoreactive amino acid p-(4-(but-3-yn-1-yl)benzoyl)-l-phenylalanine for peptide photoaffinity labeling
Authors: Han Penggang , Wang Fuli , Bao Shaoheng , Yao Ge , Wan Xiukun , Liu JiaJia , Jiang Hui
Published: January 2023

The clickable and photoreactive amino acid is prepared in 11 steps from 3-(4-bromophenyl)-1-propanol.
Large-scale production of polyimide micropore-based flow cells for detecting nano-sized particles in fluids
Authors: Salehirozveh Mostafa , Porro Alessandro , Thei Federico
Published: January 2023

In diagnostic and sequencing applications, solid-state nanopores hold significant promise as a single-molecule sensing platform.
Solution- and gas-phase study of binding of ammonium and bisammonium hydrocarbons to oxacalix[4]arene carboxylate
Authors: Cowart Anna , Brük Mari-Liis , Žoglo Nikita , Roithmeyer Helena , Uudsemaa Merle , Trummal Aleksander , Selke Kaspar , Aav Riina , Kalenius Elina , Adamson Jasper
Published: January 2023

Oxacalix[4]arene carboxylate binds, with different binding strengths, ammonium cations in methanol and forms complexes with amine molecules in the gas phase as characterized by NMR titration and drift tube IM-MS experiments and DFT calculations.
Economic kilogram-scale synthesis of the novel antiepileptic drug brivaracetam utilizing porcine pancreatic lipase
Authors: Wang Zhen , Ke Chunlong , Liu Junfeng
Published: January 2023

Economic kilogram-scale synthesis of the novel antiepileptic drug brivaracetam involving an enzymatic hydrolysis by porcine pancreatic lipase was developed in nine steps starting from commercially available dimethyl 2-propylmalonate.
Functionalised graphite felt anodes for enhanced power generation in membrane-less soil microbial fuel cells
Authors: Dhillon Simran Kaur , Dziegielowski Jakub , Kundu Patit Paban , Di Lorenzo Mirella
Published: January 2023

Testing composite carbon-based anode materials for high-perfoming soil microbial fuel cells.
Lithium–sulfur cells with a sulfide solid electrolyte/polysulfide cathode interface
Authors: Yen Yin-Ju , Chung Sheng-Heng
Published: January 2023

A lithium/sulfide/polysulfide cell design with a solid-state sulfide electrolyte and a polysulfide cathode shows a liquid–solid interface with a fast charge-transfer path, high polysulfide retention, and smooth lithium-ion diffusion.
Surface-defect engineering of a nickel hexacyanoferrate material for high-performance printed flexible supercapacitors
Authors: Liang Jing , Tian Bin , Zhang Xinyu , Jiang Changzhong , He Dong , Wu Wei
Published: January 2023

High-performance flexible NiHCF-based supercapacitors were fabricated by a facile printed electronic technology.
Super-efficient fire safety poly(lactide) enabled by unique radical trapping
Authors: Xiao Dan , Chen Song , Wu Fang-Juan , Xiao Zhi-Yu , Wang Zi-Bo , Fang Hui
Published: January 2023

Poly(lactic acid) (PLA) as a promising bio-plastic will decompose to small molecule flammable volatiles via chain scission, which thus exhibit poor fire safety and highly restrict its real-world applications.
Jute stick derived self-regenerating sustainable solar evaporators with different salt mitigation mechanisms for highly efficient solar desalination
Authors: Ivan Md. Nahian Al Subri , Saleque Ahmed Mortuza , Ahmed Safayet , Guo Zong Liang , Zu Di , Xu Linli , Alam Tawsif Ibne , Hani Sumaiya Umme , Tsang Yuen Hong
Published: January 2023

Efficient and self-regenerating solar evaporators with different salt mitigation mechanisms are fabricated using jute stick.
A wood-inspired bimodal solar-driven evaporator for highly efficient and durable purification of high-salinity wastewater
Authors: Chen Yu , Yang Jin , Zhang Dongfang , Wang Sizhe , Jia Xiaohua , Li Yong , Shao Dan , Feng Lei , Song Haojie , Tang Shaochun
Published: January 2023

The designed WBE breaks the trade-off between water evaporation and salt resistance, achieving ultrahigh water evaporation capacity (3.02 kg m−2h−1) and long-term salt resistance (continuous 100 h in 20 wt% brine) under 1 sun irradiation.
Zwitterionic hydrogen-bonded organic framework (ZHOF): a metal-free water oxidation proton relay in alkaline and neutral media
Authors: Azizi Roghayeh , Shamsipur Mojtaba , Taherpour Avat (Arman) , Pashabadi Afshin
Published: January 2023

Graphite supported zwitterionic hydrogen-bonded organic framework (ZHOF) acts as a supercapacitor, and proton relay during water oxidation reactions in alkaline and natural media.
Sulfonated covalent organic framework packed Nafion membrane with high proton conductivity for H2/O2fuel cell applications
Authors: Shao Zhichao , Xue Xiaojing , Gao Kexin , Chen Junshuai , Zhai Lipeng , Wen Tianyang , Xiong Shenglin , Hou Hongwei , Mi Liwei
Published: January 2023

A covalent organic framework (ZUT-COF-SO3H) with high loading sulfonic groups was synthesized and applied in a proton conduction membrane, which has high chemical stability, high water retention, and excellent proton conduction performance.
MOF-derived N,S Co-doped carbon matrix-encapsulated Cu2S nanoparticles as high-performance lithium-ion battery anodes: a joint theoretical and experimental study
Authors: Li Tianlin , Zhao Danyang , Shi Meiyu , Wang Tongde , Yin Qing , Li Yongzhi , Qi Jiqiu , Wei Fuxiang , Sui Yanwei
Published: January 2023

A MOF-derived Cu2S@NSC hybrid in which ultrathin Cu2S nanoparticles are encapsulated in a N,S co-doped carbon matrix was developed, which possesses excellent electrochemical properties serving as a lithium-ion battery anode.
Electrocatalytic sulfion recycling assisted energy-saving hydrogen production using CuCo-based nanosheet arrays
Authors: Yu Hongjie , Wang Wenxin , Mao Qiqi , Deng Kai , Xu You , Wang Ziqiang , Li Xiaonian , Wang Hongjing , Wang Liang
Published: January 2023

A HER//SOR hybrid water electrolysis system for hydrogen production by using CuCoN/CC as the cathode electrode and CuCoS/CC as the anode electrode.
3D porous flower-like CoAl2O4 to boost the photocatalytic CO2 reduction reaction
Authors: Lv Fei , Zhang Wenyuan , He Lang , Bai Xue , Song Yi , Zhao Yan
Published: January 2023

The conversion efficiency and stability of photocatalysts play important roles in the full photocatalytic CO2 reduction cycle.
microRNA-181a silencing by antisense oligonucleotides delivered by virus-like particles
Authors: Chan Soo Khim , Steinmetz Nicole F.
Published: January 2023

Encapsulation of anti-miR-181a oligonucleotide into plant virus cowpea chlorotic mottle virus (CCMV) improves the stability of both RNA oligonucleotides. Knockdown efficacy was significantly improved with CCMV encapsulation compared to non-encapsulated counterpart.
Bibliometric study on the application of manganese dioxide in environmental catalysis worldwide from 1991 to 2021
Authors: Guo Yaoguang , Chen Qianqian , Sun Xiaohu , Liu Yujing , Guan Jie , Zhang Xiaojiao , Liu Nuo , Lou Xiaoyi , Li Yingshun , Zhang Xiangwen
Published: January 2023

Structure activity relationship, density functional theory, catalytic oxidation and mechanism have become the frontier in MnO2 environmental catalysis.