bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reducing Heat Conduction Enhances the Photothermal Efficiency of Upcycled Adsorbents
Authors: Li Meng , Liu Bowen , Liu Zhijian , Xiao Yumeng , Guo Hongmin , An Zehao , Wang Lidong , James Tony D. 
Published: November 2022

AbstractSolar steam generation is an efficient way to address global freshwater shortages. However, water evaporation suffers from either inefficient heat conduction or relies on expensive materials and complex equipment. Herein, a porous hydrogel (AC‐H) with molecular meshes, micron channels, and internal gaps is fabricated and used for metal ion adsorption. AC‐H exhibits excellent uptake ability and can attain the levels required by industrial water safety standards. Subsequently, the exhausted AC‐H hydrogel is vulcanized in situ (AC‐MS) and upcycled for solar steam generation resulting in ≈1.41 kg m−2 h−1 evaporation rate under one sun irradition, which reduces costs and converts the waste into a resource. Furthermore, a heat management strategy is developed where a cold surface of specific area is introduced between the AC‐MSx and bulk water to adsorb the heat loss. When the cold area is increased, the energy in the bulk water can be extracted by the coldsurface. which enhances the water evaporation rate. Significantly, the theoretical simulations are in good agreement with the experimental results. Therefore, this research provides a novel strategy to upcycle exhausted materials for photothermal technologies and reduces the heat conduction during solar‐to‐thermal evaporation.
Retina‐Inspired Organic Photonic Synapses for Selective Detection of SWIR Light
Authors: Wang Song , Chen Hao , Liu Tianhua , Wei Yanan , Yao Guo , Lin Qijie , Han Xiao , Zhang Chunfeng , Huang Hui 
Published: November 2022

AbstractPhotonic synapses with the dual function of optical signal detection and information processing can simulate human visual system. However, photonic synapses with selective detection of short‐wavelength infrared (SWIR) light have never been reported, which can not only broaden the human vision region but also integrate neuromorphic computation and infrared optical communication. Here, organic photonic synapses based on a new donor‐acceptor copolymer P1 are fabricated, which exhibit excellent synaptic characteristics with selective detection for SWIR and extremely low energy consumption (2.85 fJ). The working mechanism is rooted in energy level barriers and unbalanced charge transportation. Moreover, these photonic synapses demonstrate excellent performance in multi‐signal logic editing, letter imaging and memory with noise reduction function. This contribution provides ideas of constructing selective‐response synapses for artificial visual system and neuromorphic computing.
Transformable Plasmonic Helix with Swinging Gold Nanoparticles
Authors: Peil Andreas , Zhan Pengfei , Duan Xiaoyang , Krahne Roman , Garoli Denis , M. Liz‐Marzán Luis , Liu Na 
Published: November 2022

AbstractControl over multiple optical elements that can be dynamically rearranged to yield substantial three‐dimensional structural transformations is of great importance to realize reconfigurable plasmonic nanoarchitectures with sensitive and distinct optical feedback. In this work, we demonstrate a transformable plasmonic helix system, in which multiple gold nanoparticles (AuNPs) can be directly transported by DNA swingarms to target positions without undergoing consecutive stepwise movements. The swingarms allow for programmable AuNP translocations in large leaps within plasmonic nanoarchitectures, giving rise to tailored circular dichroism spectra. Our work provides an instructive bottom‐up solution to building complex dynamic plasmonic systems, which can exhibit prominent optical responses through cooperative rearrangements of the constituent optical elements with high fidelity and programmability.
Late‐Stage Modification of Drugs via Alkene Formal Insertion into Benzylic C−F Bond
Authors: Wang Jing , Wang Yahui , Liang Yan , Zhou Liejin , Liu Lijuan , Zhang Zuxiao 
Published: November 2022

AbstractC−F insertion of carbon‐atom units is underdeveloped although it poses significant potential applications in both drug discovery and development. Herein, we report a photocatalytic protocol for late‐stage modification of trifluoromethyl aromatic drugs involving formal insertion of abundant alkene feedstocks into a benzylic C−F bond selectively. This redox‐neutral transformation features mild conditions and extraordinary functional group tolerance. Preliminary studies are consistent with this transformation involving a radical‐polar crossover pathway. Additionally, it offers an alternative strategy for difunctionalization of alkenes via quenching of the carbocation intermediate with nucleophiles other than external fluoride.
Dual‐Color Photoconvertible Fluorescent Probes Based on Directed Photooxidation Induced Conversion for Bioimaging
Authors: Saladin Lazare , Breton Victor , Dal Pra Ophélie , Klymchenko Andrey S. , Danglot Lydia , Didier Pascal , Collot Mayeul 
Published: November 2022

AbstractWe herein present a new concept to produce dual‐color photoconvertible probes based on a mechanism called Directed Photooxidation Induced Conversion (DPIC). As a support of this mechanism, styryl‐coumarins (SCs) bearing Aromatic Singlet Oxygen Reactive Moieties (ASORMs) like furan and pyrrole have been synthesized. SCs are bright fluorophores, which undergo a hypsochromic conversion upon visible light irradiation due to directed photooxidation of the ASORM that leads to the disruption of conjugation. SC‐P, a yellow emitting probe bearing a pyrrole moiety, converts to a stable blue emitting coumarin with a 68 nm shift allowing the photoconversion and tracking of lipid droplet in live cells. This new approach might pave the way to a new generation of photoconvertible dyes for advanced bioimaging applications.
Combining genetic engineering and bioprocess concepts for improved phenylpropanoid production
Authors: Virklund Alexander , Jensen Sheila I. , Nielsen Alex T. , Woodley John M. 
Published: November 2022

AbstractThe group of natural aromatic compounds known as phenylpropanoids has diverse applications, but current methods of production which are largely based on synthesis from petrochemicals or extraction from agricultural biomass are unsustainable. Bioprocessing is a promising alternative, but improvements in production titers and rates are required to make this method profitable. Here the recent advances in genetic engineering and bioprocess concepts for the production of phenylpropanoids are presented for the purpose of identifying successful strategies, including adaptive laboratory evolution, enzyme engineering, in‐situ product removal, and biocatalysis. The pros and cons of bacterial and yeast hosts for phenylpropanoid production are discussed, also in the context of different phenylpropanoid targets and bioprocess concepts. Finally, some broad recommendations are made regarding targets for continued improvement and areas requiring specific attention from researchers to further improve production titers and rates.
Systematic review: External carbon source for biological denitrification for wastewater
Authors: Ahmed Sanjrani Manzoor , Rind Saeeda , Rani Keenjhar 
Published: November 2022

AbstractNitrogen mitigation is serious environmental issue around the globe. Several methods for wastewater treatment have been introduced, but biological denitrification has been recommended, particularly with addition of the best external carbon source. The key sites of denitrification are wetlands; it can be carried out with different methods. To highlight the aforementioned technology, this paper deals to review the literature to evaluate biological denitrification and to demonstrate cost effective external carbon sources. The results of systematic review disclose the denitrification process and addition of different external carbon sources. The online literature exploration was accomplished using the most well‐known databases, that is, science direct and the web of science database, resulting 625 review articles and 3084 research articles, published in peer‐reviewed journals between 2015 and 2021 were identified in first process. After doing an in‐depth literature survey and exclusion criteria, we started to shape the review from selected review and research articles. A number of studies confirmed that both nitrification and denitrification are significant for biological treatment of wastewater. The studies proved that the carbon source is the main contributor and is a booster for the denitrification. Based on the literature reviewed it is concluded that biological denitrification with addition of external carbon source is cost effective and best option in nitrogen mitigation in a changing world. Our study recommends textile waste for recovery of carbon source.
KIAA1429 mediates epithelial mesenchymal transition in sorafenib‐resistant hepatocellular carcinoma through m6A methylation modification
Authors: Kuang Ye , Cheng Yun , Wang Jia , Li Hongyan , Cao Xianghong , Wang Yang 
Published: November 2022

AbstractBackgroundHepatocellular carcinoma (HCC) is a primary liver cancer with high mortality. The long‐term use of sorafenib, a targeted drug for hepatocellular carcinoma, will lead to drug resistance, and patients are prone to cancer metastasis, the molecular mechanism of which is still unclear.MethodsIn our study, we constructed a sorafenib‐resistant hepatocellular carcinoma cell line (HepG2/Sora) and validated the resistance in vivo and in vitro. Transwell assays confirmed the invasion and migration abilities of cells. Colorimetric assays confirmed that the level of m6A methylation modification in cells. RT‐qPCR and Western blot assays confirmed that the expression levels of KIAA1429 in HepG2/Sora cells and tissues. The EMT related proteins were detected by Western blot assay.ResultsTranswell and Western blot assays confirmed that HepG2/Sora cells had higher invasion and migration abilities and showed EMT phenomena. Colorimetric assays confirmed that the level of m6A methylation modification was upregulated in HepG2/Sora cells. Transwell and Western blot assays confirmed that inhibiting m6A methylation in HepG2/Sora cells inhibited their invasion, migration ability and EMT phenomenon. RT‐qPCR and Western blot assays confirmed that the expression levels of KIAA1429 in HepG2/Sora cells and tissues was increased. Silencing KIAA1429 in HepG2/Sora cells inhibited their invasion, migration ability and EMT phenomenon. Finally, we found that the medium supernatant of sorafenib‐resistant HepG2/Sora cells induced vascular production of EA.hy926 cells, and silencing KIAA1429 inhibited this induction effect.ConclusionWe suggest that KIAA1429 promotes sorafenib‐resistant hepatocellular carcinoma invasion, migration and EMT by mediating m6A methylation. KIAA1429 with its mediated m6A methylation may be a key factor for sorafenib‐resistant patients prone to cancer cell metastasis.
Highly sensitive temperature sensing probe based on two cascaded Fabry–Perot interferometers and Vernier effect
Authors: Zhu Xiping , Jiang Chao , Chen Hailin , Huang Huiling , Sun Simei 
Published: November 2022

AbstractIn this paper, a temperature sensing probe is designed using two cascaded Fabry‐Perot interferometers (FPIs). FPI1 is made by splicing single‐mode optical fiber (SMF)‐no‐core optical fiber‐capillary‐SMF in turn, and then drilling a micro‐hole on the capillary wall of FPI1 with femtosecond laser, and injecting dimethyl silicone oil (DSO) into the capillary through the micro‐hole with immersion method. FPI2 is made by splicing SMF‐capillary‐SMF sequentially. Due to the thermal sensitivity of DSO, the temperature sensitivity of a single FPI1 reaches −0.3674 nm/°C. When the free spectral ranges of FPI1 and FPI2 are close, their cascaded sensor will produce a Vernier effect for improving the sensitivity. The experimental results show that the sensitivity of the sensing probe is as high as 1.8456 nm/°C. In addition, the sensor has a compact structure and can be used flexibly in confined space temperature measurement.
Synergy‐Compensation Effect of Ferroelectric Polarization and Cationic Vacancy Collaboratively Promoting CO2 Photoreduction
Authors: Li Shuguan , Chen Fang , Chu Shengqi , Zhang Zeyu , Huang Jindi , Wang Shengyao , Feng Yibo , Wang Cong , Huang Hongwei 
Published: November 2022

AbstractPhotocatalytic CO2 reduction is severely limited by the rapid recombination of photo‐generated charges and insufficient reactive sites. Creating electric field and defects are effective strategies to inhibit charge recombination and enrich catalytic sites, respectively. Herein, a coupled strategy of ferroelectric poling and cationic vacancy is developed to achieve high‐performance CO2 photoreduction on ferroelectric Bi2MoO6, and their interesting synergy‐compensation relationship is first disclosed. Corona poling increases the remnant polarization of Bi2MoO6 to enhance the intrinsic electric field for promoting charge separation, while it decreases the CO2 adsorption. The introduced Mo vacancy (VMo) facilitates the adsorption and activation of CO2, and surface charge separation by creating local electric field. Unfortunately, VMo largely reduces the remnant polarization intensity. Coupling poling and VMo not only integrate their advantages, resulting in an approximately sevenfold increased surface charge transfer efficiency, but also compensate for their shortcomings, for example, VMo largely alleviates the negative effects of ferroelectric poling on CO2 adsorption. In the absence of co‐catalyst or sacrificial agent, the poled Bi2MoO6 with VMo exhibits a superior CO2‐to‐CO evolution rate of 19.75 µmol g−1 h−1, ≈8.4 times higher than the Bi2MoO6 nanosheets. This work provides new ideas for exploring the role of polarization and defects in photocatalysis.
Anemone bleaching impacts the larval recruitment success of an anemone-associated fish
Authors: Besson Marc , Feeney William E. , Gache Camille , O’Brien Duncan A. , Berthe Cécile , Cowan Zara-Louise , Brooker Rohan M. , Laudet Vincent , Lecchini David 
Published: November 2022

AbstractIn marine environments, mutualisms such as those between corals or sea anemones and their algal symbionts (Symbiodiniaceae) play a key role for supporting surrounding biodiversity. However, as the breakdown of the mutualism between corals and/or anemones and Symbiodiniaceae (i.e. bleaching) become increasingly frequent and severe, the risk of losing the additional species that rely on them may also increase. While the effects of anemone bleaching on the biology and ecology of anemone-associated fishes have been the subject of recent research, relatively little is known about the impacts that anemone bleaching might have on the recruitment of larval fish. Here, we report that climate change-induced anemone bleaching impairs a secondary mutualism between anemones and an anemone-associated fish species, the threespot dascyllus (Dascyllus trimaculatus). Field-based monitoring over a 1-year period showed anemones that bleached experienced decreased recruitment of larval D. trimaculatus compared to those that did not bleach, with abundances of newly settled D. trimaculatus three times lower in bleached versus unbleached anemones. A visual choice experiment showed that this pattern is associated with fish being less attracted to bleached anemones, and a predation experiment demonstrated that fish associated with bleached anemones experienced higher mortality compared to those associated with unbleached anemones. These results suggests that the decreased recruitment of D. trimaculatus observed in bleached anemones may be driven by hampered pre-settlement (habitat selection) and post-settlement (survival to predation) processes for larval D. trimaculatus in bleached hosts. This study highlights the risk of cascading mutualism breakdowns in coral reefs as conditions deteriorate and stresses the importance of protecting these mutualisms for the maintenance of coral reef biodiversity.
Experimental separation of the onset of slip and sharkskin melt instabilities during the extrusion of silica-filled, styrene–butadiene rubber compounds
Authors: Gansen Alex , Řehoř Martin , Sill Clemens , Polińska Patrycja , Westermann Stephan , Dheur Jean , Hale Jack S. , Baller Jörg 
Published: November 2022

Abstract
The flow curves of polymers often reveal the onset of melt instabilities such as sharkskin, stick–slip, or gross melt fracture, in order of increasing shear rates. The focus of this work lies in the application of the Göttfert sharkskin option to the investigation of flow curves of styrene-butadiene rubber (SBR) compounds. The sharkskin option consists of highly sensitive pressure transducers located inside a slit die of a capillary rheometer. This tool allows the detection of in-situ pressure fluctuation characteristics of different melt instabilities. It is shown that the change of slope of the transition region in the flow curves is only linked to slip. Dynamic Mechanical Analysis (DMA) measurements furthermore show that the shear rate at which the change of slope can be observed shows the same temperature dependency as the viscous and elastic properties of the compounds.
Promoting Peace Across Cultures
Authors: Marks Amy K. , Roberg Regina , Luehrs Rose E. , Coll Cynthia García 
Published: November 2022

Abstract
Children’s healthy development is shaped by the myriad person-context interactions that promote—or harm—growth and well-being. Many children and their families who have migrated or immigrated across cultures have experienced war, poverty, natural disasters, or suffered extreme hardship. Forced migration experiences too frequently include exposure to interpersonal violence, trauma, and other severe hardships that can have lasting, deleterious effects on children’s development. Exposure to premigration (e.g., war, gang violence), migration (e.g., parental separations, child trafficking), and postmigration (e.g., racism, discrimination) violence, its mental health effects, and consequent life disruptions are discussed throughout this chapter. The chapter also emphasizes the latest research and thinking about how to support posttraumatic growth and personal/interpersonal healing among immigrant youth. Using evidence-based knowledge from these areas, the chapter suggests next steps for delivering clinical care, as well as designing programs and policies that support migrant-origin child and youth well-being.
Dignity in Care
Authors: Chochinov Harvey Max 
Published: November 2022

Abstract
Dignity in Care: The Human Side of Medicine brings together decades of clinical experience and rigorous research from one of the world’s leading authorities on palliative care and dignity in the healthcare setting. Dr. Harvey Max Chochinov, a seasoned psychiatrist, healthcare leader, and prolific researcher, has distilled his insights about caring for patients and achieving dignity in care for anyone facing the need for healthcare. This book has been written for everyone who deals with patients as part of their work, be they doctors, nurses, social workers, hospital chaplains, occupational therapists, physiotherapists, physician’s assistants, healthcare aides, x-ray technologists, radiation therapists, respiratory therapists, pharmacists, medical receptionists, or healthcare trainees of any kind. Dignity in Care: The Human Side of Medicine explains why patients respond as they do and how the disposition and attitude of healthcare providers indelibly shapes patient experience. The text details the various components of optimal therapeutic communication and offers ways of understanding and delivering dignity in care. This book, already hailed as “a must read for all healthcare providers,” is chock full of wonderful stories and impeccable evidence designed to move healthcare providers—and those they care for—toward the human side of medicine.
PlantServation: time-series phenotyping using machine learning revealed seasonal pigment fluctuation in diploid and polyploidArabidopsis
Authors: Akiyama Reiko , Goto Takao , Tameshige Toshiaki , Sugisaka Jiro , Kuroki Ken , Sun Jianqiang , Akita Junichi , Hatakeyama Masaomi , Kudoh Hiroshi , Kenta Tanaka , Tonouchi Aya , Shimahara Yuki , Sese Jun , Kutsuna Natsumaro , Shimizu-Inatsugi Rie , Shimizu Kentaro K. 
Published: November 2022

AbstractLong-term field monitoring of leaf pigment content is informative for understanding plant responses to environments distinct from regulated chambers, but is impractical by conventional destructive measurements. We developed PlantServation, a method incorporating robust image-acquisition hardware and deep learning-based software to analyze field images, where the plant shape, color, and background vary over months. We estimated the anthocyanin contents of small individuals of fourArabidopsisspecies using color information and verified the results experimentally. We obtained >4 million plant images over three field seasons to study anthocyanin fluctuations. We found significant effects of past radiation, coldness, and precipitation on the anthocyanin content in the field. The synthetic allopolyploidA. kamchaticarecapitulated the fluctuations of natural polyploids by integrating diploid responses. The data support a long-standing hypothesis stating that allopolyploids can inherit and combine the traits of progenitors. PlantServation pipeline facilitates the study of plant responses to complex environments termed “in natura.”
Fragment-Based Hit Discovery via Unsupervised Learning of Fragment-Protein Complexes
Authors: McCorkindale William , Ahel Ivan , Barr Haim , Correy Galen J. , Fraser James S. , London Nir , Schuller Marion , Shurrush Khriesto , Lee Alpha A. 
Published: November 2022

AbstractThe process of finding molecules that bind to a target protein is a challenging first step in drug discovery. Crystallographic fragment screening is a strategy based on elucidating binding modes of small polar compounds and then building potency by expanding or merging them. Recent advances in high-throughput crystallography enable screening of large fragment libraries, reading out dense ensembles of fragments spanning the binding site. However, fragments typically have low affinity thus the road to potency is often long and fraught with false starts. Here, we take advantage of high-throughput crystallography to reframe fragment-based hit discovery as a denoising problem – identifying significant pharmacophore distributions from a fragment ensemble amid noise due to weak binders – and employ an unsupervised machine learning method to tackle this problem. Our method screens potential molecules by evaluating whether they recapitulate those fragment-derived pharmacophore distributions. We retrospectively validated our approach on an open science campaign against SARS-CoV-2 main protease (Mpro), showing that our method can distinguish active compounds from inactive ones using only structural data of fragment-protein complexes, without any activity data. Further, we prospectively found novel hits for Mpro and the Mac1 domain of SARS-CoV-2 non-structural protein 3. More broadly, our results demonstrate how unsupervised machine learning helps interpret high throughput crystallography data to rapidly discover of potent chemical modulators of protein function.