bluuebunny/crossref_metadata_2025 huggingface dataset:
Caregiver’s cognitive traits are associated with pup fitness in a cooperatively breeding mammal
Authors: Shelafoe C. , Thompson F. J. , Mwanguhya F. , Kyabulima S. , Businge R. , Mwesige K. , Sanderson J. L. , Cant M. A. , Marshall H. H. , Vitikainen E. I. K.
Published: October 2023

Studies across diverse taxa have revealed the importance of early life environment and parenting on characteristics later in life. While some have shown how early life experiences can impact cognitive abilities, very few have turned this around and looked at how the cognitive skills of parents or other carers during early life affect the fitness of young. In this study, we investigate how the characteristics of carers may affect proxies of fitness of pups in the cooperatively breeding banded mongoose (Mungos mungo). We gave adult mongooses a spatial memory test and compared the results to the success of the pups those individuals cared for. Our results show a tradeoff between speed and accuracy in the spatial memory task, with those individuals which were faster to move between cups in the test arena making more erroneous re-visits to cups that they had already checked for food. Furthermore, the accuracy of their carer predicted future survival, but not weight gain of the pups and the effect was contrary to expected, with pups that were cared for by less accurate individuals being more likely to survive to adulthood. Our research also provides evidence that while younger carers were less accurate during the test, the age of the carer did not have an impact on the chance of raising young that live to sexual maturity. Our findings suggest that banded mongoose carers’ cognitive traits have fitness consequences for the young they care for, affecting the chance that these young live to maturity.
Optimal placement criteria of actuators for hybrid mounting system on a non-aligned plate structure
Authors: Qiu Yang , Hong Dongwoo , Kim Byeongil
Published: October 2023

Electric motors in electric and hybrid vehicles generate mid-frequency noise and vibration. These factors cause drivers to experience discomfort while traveling. Active mounting techniques have been extensively researched and developed to effectively address this issue. The optimal placement of an active mounting system is essential for enhancing NVH performance when an active mounting system is utilized. In order to propose optimal location criteria for active paths, this paper concentrates on developing an analytical model based on both dynamic and static analysis. The secondary forces along active trajectories are mathematically determined when a structure is subjected to an excitation force. These locations are considered optimal for the active mounting system if the secondary forces are comparatively minimal. Simulations and feasibility experiments are also conducted in order to validate the proposed method. In addition, the results are compared with the case of beam structure. It has been determined through this procedure that the active path’s control performance will be enhanced if it is positioned in the optimal location and less control force is required than in the case of beam.
Fault diagnosis of anti-friction bearings based on Bi-dimensional ensemble local mean decomposition and optimized dynamic least square support vector machine
Authors: Xiong Zhengqiang , Han Chang , Zhang Guorong
Published: October 2023

In order to ensure the normal operation of rotating equipment, it is very important to quickly and efficiently diagnose the faults of anti-friction bearings. Hereto, fault diagnosis of anti-friction bearings based on Bi-dimensional ensemble local mean decomposition and optimized dynamic least square support vector machine (LSSVM) is presented in this paper. Bi-dimensional ensemble local mean decomposition, an extension of ensemble local mean decomposition from one-dimensional signal processing to Bi-dimensional signal processing, is used to extract the features of anti-friction bearings. Moreover, an optimized dynamic LSSVM is used to fault diagnosis of anti-friction bearings. The experimental results show that Bi-dimensional ensemble local mean decomposition is superior to Bi-dimensional local mean decomposition, optimized dynamic LSSVM is superior to traditional LSSVM, and the proposed Bi-dimensional ensemble local mean decomposition and optimized dynamic LSSVM method is effective for fault diagnosis of anti-friction bearings.
Chlorogenic acid protects against myocardial ischemia–reperfusion injury in mice by inhibiting Lnc Neat1/NLRP3 inflammasome-mediated pyroptosis
Authors: Chai Xin , Liang Zhengwei , Zhang Junshi , Ding Jing , Zhang Qian , Lv Sha , Deng Yazhu , Zhang Rongrui , Lu Deqin
Published: October 2023

Increasing evidences demonstrate that chlorogenic acid (CGA), a polyphenol with multiple effects such as anti-inflammatory and anti-oxidation, protects against myocardial ischemia–reperfusion injury (MIRI) in vitro and in vivo. But its detailed cardiac protection mechanism is still unclear. The MIRI mice model was established by ligating the left anterior descending branch (LAD) of the left coronary artery in C57BL/6 mice. Sixty C57BL/6 mice were randomly divided into four groups. CGA group and CGA + I/R group (each group n = 15) were gavaged with 30 mg/kg/day CGA for 4 weeks. Sham group and I/R group mice (each group n = 15) were administered equal volumes of saline. In vitro MIRI model was constructed by hypoxia and reoxygenation of HL-1 cardiomyocytes. The results showed that CGA pretreatment reduced myocardial infarction size and cTnT contents in serum, simultaneously reduced the levels of Lnc Neat1 expression and attenuated NLRP3 inflammasome-mediated pyroptosis in myocardial tissue. Consistent with in vivo results, the pretreatment of 0.2 μM and 2 μM CGA for 12 h in HL-1 cardiomyocytes depressed hypoxia/reoxygenation-induced Lnc Neat1 expression, NLRP3 inflammasome activation and pyroptosis. Lnc Neat1 shRNA transfection mediated by lentivirus in HL-1 cardiomyocytes significantly reduced activation of NLRP3 inflammasome and pyroptosis. Our findings suggest that CGA protects against MIRI by depressing Lnc Neat1 expression and NLRP3 inflammasome-mediated pyrotosis. Inhibiting the levels of Lnc Neat1 expression may be a therapeutic strategy for MIRI.
Calpeptin is a potent cathepsin inhibitor and drug candidate for SARS-CoV-2 infections
Authors: Reinke Patrick Y. A. , de Souza Edmarcia Elisa , Günther Sebastian , Falke Sven , Lieske Julia , Ewert Wiebke , Loboda Jure , Herrmann Alexander , Rahmani Mashhour Aida , Karničar Katarina , Usenik Aleksandra , Lindič Nataša , Sekirnik Andreja , Botosso Viviane Fongaro , Santelli Gláucia Maria Machado , Kapronezai Josana , de Araújo Marcelo Valdemir , Silva-Pereira Taiana Tainá , Filho Antônio Francisco de Souza , Tavares Mariana Silva , Flórez-Álvarez Lizdany , de Oliveira Danielle Bruna Leal , Durigon Edison Luiz , Giaretta Paula Roberta , Heinemann Marcos Bryan , Hauser Maurice , Seychell Brandon , Böhler Hendrik , Rut Wioletta , Drag Marcin , Beck Tobias , Cox Russell , Chapman Henry N. , Betzel Christian , Brehm Wolfgang , Hinrichs Winfried , Ebert Gregor , Latham Sharissa L. , Guimarães Ana Marcia de Sá , Turk Dusan , Wrenger Carsten , Meents Alke
Published: October 2023

Several drug screening campaigns identified Calpeptin as a drug candidate against SARS-CoV-2. Initially reported to target the viral main protease (Mpro), its moderate activity in Mpro inhibition assays hints at a second target. Indeed, we show that Calpeptin is an extremely potent cysteine cathepsin inhibitor, a finding additionally supported by X-ray crystallography. Cell infection assays proved Calpeptin’s efficacy against SARS-CoV-2. Treatment of SARS-CoV-2-infected Golden Syrian hamsters with sulfonated Calpeptin at a dose of 1 mg/kg body weight reduces the viral load in the trachea. Despite a higher risk of side effects, an intrinsic advantage in targeting host proteins is their mutational stability in contrast to highly mutable viral targets. Here we show that the inhibition of cathepsins, a protein family of the host organism, by calpeptin is a promising approach for the treatment of SARS-CoV-2 and potentially other viral infections.
Applications of Nanoparticles and Nanomaterials in Bioremediation for Environmental Safety: An Overview
Authors: Sharma Chikanshi , Kamle Madhu , Kumar Pradeep
Published: October 2023

The impact of human activities on the environment and ecosystems is constantly and dangerously growing due to the increase in global population and the ensuing use of primary resources and waste generation. An important issue affecting our globe currently that cannot be ignored is environmental pollution caused by human activity. The development of new eco-friendly, sustainable, and financially sound methods to clean up the polluted environment is one of the most difficult challenges of the twenty-first century. Nanoparticles (NPs) have distinctive features, such as catalytic capacity, ease of operation, possibility to chemically modify their properties, reactivity, and high surface area. Nanotechnologies and nanomaterials (NMs) hold potential for the development of sustainable, cutting-edge, creative products and methods for environmental bioremediation. Filtration, absorption, photocatalysis, chemical reactions and adsorption are some methods that are commonly used in environmental remediation to remove contaminants from various environmental media like air, soil and water. The most current advancements in environmental recovery tactics for contaminated areas using nanoparticles in conjunction with bioremediation methods are covered in this review. It is discussed how these nanoparticles can be used to remove various environmental pollutants, including heavy metals, halogenated herbicides, dyes, volatile organic compounds, organophosphorus compounds, and chlorinated organic chemicals. To promote the most recent research on and innovation in sustainable techniques in the field of environmental bio-remediation, special attention is paid to eco-friendly and regenerable nano-solutions and their safe-by-design qualities.
Post-use Recovery of Nanoparticles
Authors: Kalaitzidou K. , Merachtsaki D.
Published: October 2023

The continuously increasing broad area covering applications of nanoparticles such as nanoelectronics, molecular assemblies, tissue engineering, biomedicine, LED lighting, electronic devices, solar panels, water filtration, consumer products and nanocomposites result in the respective increase of nanowastes, followed by an uncontrolled release in the environment. The lack of a specific framework for nanoparticle waste management sets nanowaste recycling as a matter of high importance due to sustainability and economic reasons. Even though the field of nanoparticle reuse is crucial, relevant research is still premature, while recycling methods are limited. Thus, the present chapter on post-use recovery of nanoparticles provides an overview of the following subjects: (a) optimum approaches and available methodologies to capture, recover and regenerate nanoparticles after their use in environmental applications and (b) classification and evaluation of their potential according to economic viability and sustainability.
Fluorescent covalent organic frameworks for environmental pollutant detection sensors and enrichment sorbents: a mini-review
Authors: Liu Qiuyi , Yang Yulian , Zou Yuemeng , Wang Luchun , Li Zhu , Wang Mingyue , Li Lingling , Tian Meng , Wang Dandan , Gao Die
Published: October 2023

Covalent organic frameworks (COFs) are a class of porous crystalline materials based on organic building blocks containing light elements, such as C, H, O, N, and B, interconnected by covalent bonds.
Low-cost electronic-nose (LC-e-nose) systems for the evaluation of plantation and fruit crops: recent advances and future trends
Authors: Vinicius da Silva Ferreira Marcus , Barbosa Jose Lucena , Kamruzzaman Mohammed , Barbin Douglas Fernandes
Published: October 2023

This review offers a comprehensive examination of recent research on the application of electronic noses in the assessment of plantation and fruit crops, along with an exploration of data processing techniques.
A supramolecular assembly strategy towards organic luminescent materials
Authors: Yin Chenjia , Yan Zi-Ang , Ma Xiang
Published: October 2023

This review summarizes multi-dimensional supramolecular organic luminescent materials, illustrating the relationship between assembly and luminescence as well as the present challenges impeding the development of supramolecular luminescent systems.
Site-specific albumin tagging with chloride-containing near-infrared cyanine dyes: molecular engineering, mechanism, and imaging applications
Authors: Su Qi , Zhang Yuewei , Zhu Shoujun
Published: October 2023

A class of Cl-containing cyanine dyes has been found to selectively bind to albumin, enabling site-specific tagging of albumin. This leads to enhanced optical properties, improved pharmacokinetics/biosafety, and advanced bioimaging applications.
A free radical nitration of olefins with NaNO2/I2O5
Authors: Huang Xuan , You Huichao , Fang Fang , Wang Fan , Liu Zhong-Quan
Published: October 2023

We developed a simple and practical nitration of olefins with NaNO2/I2O5. This method provides a mild, safe and environmentally-benign access to a wide range of nitroolefins.
Catalyst- and additive-free cascade radical addition/cyclization of N-arylacrylamides with trifluoropyruvates
Authors: Tan Yongbo , Huang Huawen
Published: October 2023

Redox-neutral coupling and cyclization: A photocatalyst- and additive-free method for the preparation of valuable 3,3-disubstituted oxindoles bearing trifluoromethyl alcohol moieties with formal 100% atom economy.
Efficient biocatalytic C–H bond oxidation: an engineered heme-thiolate peroxygenase from a thermostable cytochrome P450
Authors: Gee Alecia R. , Stone Isobella S. J. , Stockdale Tegan P. , Pukala Tara L. , De Voss James J. , Bell Stephen G.
Published: October 2023

The replacement of specific residues of an archaeal thermostable heme monooxygenase enzyme enabled its conversion to a highly stable peroxygenase allowing the efficient and selective oxidation of unactivated C–H bonds at elevated temperatures.
MoTe2/InN van der Waals heterostructures for gas sensors: a DFT study
Authors: Mehrez Jaafar Abdul-Aziz , Chen Xiyu , Zeng Min , Yang Jianhua , Hu Nantao , Wang Tao , Liu Ruili , Xu Lin , González-Alfaro Yorexis , Yang Zhi
Published: October 2023

MoTe2/InN vdW heterostructure in AA stacking has a type-II band alignment and is proven to be ideal for NO2 detection via resistive and optical gas sensors.
Plasmon induced hot carrier generation in a pyridine@Au20 composite
Authors: Mokkath Junais Habeeb
Published: October 2023

Induced charge density and electric field enhancement for the pyridine@Au20 cluster at a distance of d = 2 Å.
Precursor skyrmion states near the ordering temperatures of chiral magnets
Authors: Leonov Andrey O.
Published: October 2023

Multi-skyrmionic states built from isolated skyrmions can form multiply modulated magnetic phases that may underlie the exotic magnetic phenomena of “partial order” or the field-driven “A-phase” observed in MnSi and other cubic helimagnets.
High-concentration LiPF6/sulfone electrolytes: structure, transport properties, and battery application
Authors: Ugata Yosuke , Chen Yichuan , Miyazaki Shuhei , Sasagawa Shohei , Ueno Kazuhide , Watanabe Masayoshi , Dokko Kaoru
Published: October 2023

LiPF6 and sulfolane form a stable crystalline solvate at a 1 : 4 molar ratio; however, the partial substitution of sulfolane with another sulfone suppresses solvate crystallization, enabling its use as a liquid electrolyte in Li batteries.
Optimization effect of Ag-regulated manganese oxides on electrocatalytic performance for Li–O2 batteries
Authors: Huang Qiang , Dai Linna , Zhang Shengnan , Hu Pei , Ci Lijie
Published: October 2023

Developing efficient and inexpensive electrocatalysts for sluggish reaction kinetics is important to help non-aqueous Li–O2 batteries achieve an ultra-high theoretical specific energy density of ∼3500 W h kg−1.
Electronically flexible PYA ligands for efficient palladium-catalyzed α-arylation of ketones
Authors: Reusser Esaïe , Albrecht Martin
Published: October 2023

Electronically flexible PYA ligands enable efficient palladium-catalyzed α-arylation of ketones and reach unprecedented turnover numbers for N-based ligands, offering a promising alternative to phosphine ligands.
Regulating the reorganization energy and crystal packing of small-molecule donors enables the high performance of binary all-small-molecule organic solar cells with a slow film growth rate
Authors: Xu Tongle , Lv Jie , Zheng Daming , Luo Zhenghui , Jee Min Hun , Ran Guangliu , Chen Zhanxiang , Huang Zhongyan , Ren Jiaqi , Li Yuxiang , Zhang Cai’e , Hu Hanlin , Pauporté Thierry , Zhang Wenkai , Woo Han Young , Yang Chuluo
Published: October 2023

We develop three small-molecule donors (T25, T26 and T27) by stepwise terminal-group and side-chain engineering. The binary all-small-molecule organic solar cell (ASM-OSC) based on T27 : Y6 yields an efficiency of 16.8%, significantly higher than those based on T25 : Y6 (12.1%) and T26 : Y6 (14.0%).
Suppression of energy disorder by incorporating a small-molecule acceptor into binary all-polymer solar cells
Authors: Xu Ye , Wang Jingwen , Zhang Tao , Chen Zhihao , Xian Kaihui , Li Zi , Luo Yang-Hui , Ye Long , Hao Xiaotao , Yao Huifeng , Hou Jianhui
Published: October 2023

The energy disorder of binary all-PSCs based on PDBQx-TCl and PY-IT is suppressed by adding a new small molecule (BTA3-4F), leading to an impressive power conversion efficiency of 18.6%.
Indole-3-acetamide from gut microbiota activated hepatic AhR and mediated the remission effect of Lactiplantibacillus plantarum P101 on alcoholic liver injury in mice
Authors: Wang Mengqi , Feng Xiaoyan , Zhao Yu , Lan Yuzhi , Xu Hengyi
Published: October 2023

L. plantarum P101 alleviated alcoholic liver damage by regulating gut microbiota and its metabolites. The altered metabolite indole-3-acetamide activated the AhR signaling pathway and alleviated alcoholic injury in HepG2 cells.
A closed-loop process for high-value regeneration of spent LiFePO4 cathodes after selective aluminium precipitation
Authors: Yan Kang , Chen Qing , Zhang Zhongtang , Nie Huaping , Wang Ruixiang , Xu Zhifeng
Published: October 2023

A recycling process is proposed in which spent cathode materials and Al foil are leached by low-concentration acids, then Al is selectively precipitated, finally the lithium iron phosphate material is synthesized by a one-step hydrothermal synthesis.
Label-free multidimensional bacterial characterization with an ultrawide detectable concentration range by microfluidic impedance cytometry
Authors: Chen Jiahong , Zhong Jianwei , Lei Hongtao , Ai Ye
Published: October 2023

This work presents a novel high-throughput microfluidic electrical impedance-based multidimensional single-bacterium profiling system for ultrawide concentration range detection and accurate differentiation of viability and gram types of bacteria.
Retraction: Progressive p-channel vertical transistors fabricated using electrodeposited copper oxide designed with grain boundary tunability
Authors: Jung Sung Hyeon , Yang Ji Sook , Kim Young Been , Deshpande Nishad G. , Kim Dong Su , Choi Ji Hoon , Suh Hee Won , Lee Hak Hyeon , Cho Hyung Koun
Published: October 2023

Retraction of ‘Progressive p-channel vertical transistors fabricated using electrodeposited copper oxide designed with grain boundary tunability’ by Sung Hyeon Jung et al., Mater. Horiz., 2022, 9, 1010–1022, https://doi.org/10.1039/D1MH01568K.
Retraction: Ambipolar operation of progressively designed symmetric bidirectional transistors fabricated using single-channel vertical transistor and electrochemically prepared copper oxide
Authors: Jung Sung Hyeon , Yang Ji Sook , Cho Hyung Koun
Published: October 2023

Retraction of ‘Ambipolar operation of progressively designed symmetric bidirectional transistors fabricated using single-channel vertical transistor and electrochemically prepared copper oxide’ by Sung Hyeon Jung et al., Mater. Horiz., 2023, 10, 1373–1384, https://doi.org/10.1039/D2MH01413K.
SARS-CoV-2 N-protein induces the formation of composite α-synuclein/N-protein fibrils that transform into a strain of α-synuclein fibrils
Authors: Semerdzhiev Slav A. , Segers-Nolten Ine , van der Schoot Paul , Blum Christian , Claessens Mireille M. A. E.
Published: October 2023

SARS-CoV-2's N-protein accelerates αS aggregation, initially forming a composite αS/N-protein amyloid fibril strain that in time evolves into a strain of αS fibrils which can likely propagate without N-protein, even in uninfected cells.
Supramolecular assembly of dendronized spiropyrans in aqueous solutions into nanospheres with photo- and thermo-responsive chiralities
Authors: Qi Shanbin , Lu Xueting , Mei Wenli , Gu Guanglei , Li Wen , Zhang Afang
Published: October 2023

Dendronized spiropyrans assemble in water to form nanospheres with remarkable supramolecular chirality, which can be reversibly tuned through isomerization of spiropyrans or thermal collapse of the dendritic OEGs.
A covalency-aided electrochemical mechanism for CO2 reduction: the synergistic effect of copper and boron dual active sites drives the formation of a high-efficiency ethanol product
Authors: Wang Shiyan , Wang Longlu , Zhu Xianjun , Zhuang Yanling , Niu Xianghong , Zhao Qiang
Published: October 2023

A covalency-aided electrochemical mechanism for the CO2 reduction reaction (CO2RR) is proposed for the first time by embedding nonmetallic element B on a Cu surface, in which p-block dopants have a significant impact on improving the catalytic activity.
The internal structure of gadolinium and perfluorocarbon-loaded polymer nanoparticles affects 19F MRI relaxation times
Authors: Mali Alvja , Verbeelen Margot , White Paul B. , Staal Alexander H. J. , van Riessen N. Koen , Cadiou Cyril , Chuburu Françoise , Koshkina Olga , Srinivas Mangala
Published: October 2023

The internal structure of PLGA nanoparticles loaded with perfluorocarbon and gadolinium affects 19F relaxation times. This modulated relaxation also makes the NPs sensitive to various acidic pH environments, while preserving their stability.
Advances in transition metal-catalyzed C–H amination strategies using anthranils
Authors: Aher Yogesh N. , Bhaduri Nilanjan , Pawar Amit B.
Published: October 2023

This review demonstrates the recent advances in transition metal-catalyzed directed C–H amination strategies using anthranil as an aminating agent.
C3-Functionalization of indoles with α-heteroaryl-substituted methyl alcohols
Authors: Pazur Ethan J. , Tasker Nikhil R. , Wipf Peter
Published: October 2023

A Cs2CO3-mediated C3-alkylation of indoles in the presence of 10 mol% Oxone® tolerates a wide range of functionalized indoles and is applicable to hydroxymethyl pyridines and related heterocycles, permitting late-stage drug functionalizations (LSF).
Effective synthesis, development and application of a highly fluorescent cyanine dye for antibody conjugation and microscopy imaging
Authors: Szepesi Kovács Dénes , Kontra Bence , Chiovini Balázs , Müller Dalma , Tóth Estilla Zsófia , Ábrányi-Balogh Péter , Wittner Lucia , Várady György , Turczel Gábor , Farkas Ödön , Owen Michael C. , Katona Gergely , Győrffy Balázs , Keserű György Miklós , Mucsi Zoltán , Rózsa Balázs J. , Kovács Ervin
Published: October 2023

An azido cyanine dye was synthesized and characterized by computational and experimental techniques and applied in tumor cell imaging.
Synthesis of 1,2,3-triazole-fused N-heterocycles from N-alkynyl hydroxyisoindolinones and sodium azide via the Huisgen reaction
Authors: Arandhara Pallav Jyoti , Behera Bipin Kumar , Biswas Subhamoy , Saikia Anil K.
Published: October 2023

Dihydro[1,2,3]triazolo-pyrimidoisoindolones and dihydro[1,2,3]triazolo-diazepinoisoindolones can conveniently be synthesized from sodium azide and alkyne substituted amido alcohols in good yields using the Huisgen reaction.
Utilizing a nanocomposite aerogel grafted with Fe3O4@GO for the extraction and determination of metoprolol in exhaled breath condensate
Authors: Azad Bita , Karimzadeh Zahra , Jabbaripour Amirreza , Jouyban-Gharamaleki Vahid , Khoubnasabjafari Maryam , Jouyban Abolghasem , Rahimpour Elaheh
Published: October 2023

This article presents a solid-phase extraction method combined with a spectrofluorometric method for the extraction/pre-concentration and determination of metoprolol (MET) in exhaled breath condensate.
Synthesis of multifunctional amorphous metallic shell on crystalline metallic nanoparticles
Authors: Parakh Abhinav , Kiani Mehrdad Toussi , Lindgren Emily , Colmenares Anabelle , Lee Andrew Curtis , Suzuki Yuri , Gu Xun Wendy
Published: October 2023

A universal synthesis strategy of coating crystalline core colloidal nanoparticles with amorphous metallic glass shell. We can form conformal CoB and NiB shell coatings with controlled thicknesses on different sized Au and Pt core nanoparticles.
Data-driven discovery of innate immunomodulatorsviamachine learning-guided high throughput screening
Authors: Tang Yifeng , Kim Jeremiah Y. , IP Carman K. M. , Bahmani Azadeh , Chen Qing , Rosenberger Matthew G. , Esser-Kahn Aaron P. , Ferguson Andrew L.
Published: October 2023

We combine high-throughput wet lab experimentation and data-driven computation in a closely coupled active learning loop in order to identify novel molecules with exceptional properties.
Correction: Evidence for and evaluation of fluorine–tellurium chalcogen bonding
Authors: Weiss Robin , Aubert Emmanuel , Groslambert Loic , Pale Patrick , Mamane Victor
Published: October 2023

Correction for ‘Evidence for and evaluation of fluorine–tellurium chalcogen bonding’ by Robin Weiss et al., Chem. Sci., 2023, 14, 7221–7229, https://doi.org/10.1039/D3SC00849E.
Enhanced oxygen transfer rate of chemical looping combustion through lattice expansion on CuMn2O4 oxygen carrier
Authors: Seo Boseok , Lyu Jimin , Son Namgyu , Kang Misook , Park No-Kuk , Lee Seung Jong , Lee Jin Wook , Yun Yongseung , Ryu Ho-Jung , Baek Jeom-In , Kang Dohyung , Kim Minkyu
Published: October 2023

This study applied the lattice expansion strategy to enhance the performance of the CuMn2O4 oxygen carrier.
Chemical recycling of PET to value-added products
Authors: Jia Zixian , Gao Lin , Qin Lijiao , Yin Jianzhong
Published: October 2023

This review has focused on the concept of upcycling, which involves utilizing PET waste as a raw material for the production of value-added products such as monomers, fine chemicals, hydrogen, or carbon materials.
Cathode interface materials based on perylene-diimide derivatives for thickness insensitivity and high fill factor heterojunction organic solar cells
Authors: Li Lei , Xu Jie , Luo Wenli , Zhong Ke , Zhao Xiaohong , Hu Yu , Yuan Zhongyi , Chen Yiwang
Published: October 2023

Excellent cathode interface materials with good solubility, high fill factor, and thickness insensitivity were obtained by modification of N,N′-bis(2,6-diisopropylphenyl)-3,4,9,10-perylenetetracarboxylic diimide.
Reaction mechanism and kinetics of oxygen reduction reaction on the iron–nickel dual atom catalyst
Authors: Tamtaji Mohsen , Li Yuyin , Cai Yuting , Liu Hongwei , Goddard III William A. , Chen GuanHua
Published: October 2023

Dual-atom catalysts (DACs) have recently emerged as promising and high-activity catalysts for the oxygen reduction reaction (ORR), a key process in many electrochemical energy conversion devices.
Far-red BODIPY-based oxime esters: photo-uncaging and drug delivery
Authors: Wan Zhaoxiong , Yu Shupei , Wang Qi , Sambath Karthik , Harty Roshena , Liu Xiangshan , Chen Hao , Wang Chen , Liu Xuan , Zhang Yuanwei
Published: October 2023

A far-red light sensitive photo-uncaging system was developed based on BODIPY to effectively release pro-drugs for cancer treatment.
Photolithographically patterned and highly stable electrochromic displays enabled by a photo-assisted cross-linker
Authors: Huang Chenchao , Yi Yuan-Qiu-Qiang , Hu Zishou , Zhang Shuo , Wu Xinzhou , Chen Xiaolian , Xu Wenya , Su Wenming , Cui Zheng
Published: October 2023

A newly designed tris-diazo compound has been successfully applied to fabricate high-performance solution-processable electrochromic polymer displays.
Developing Augmentative and Alternative Communication Competence in Preservice Speech-Language Pathologists: A Collaborative Model for Clinical Educators
Authors: Brittlebank Savanna , Sowers Dawn J.
Published: October 2023

Purpose:

Practicing speech-language pathologists (SLPs) reveal a perceived lack of preparedness to deliver augmentative and alternative communication (AAC) services. This is concerning because it is indicative of inadequate graduate training in AAC. The purpose of this clinical focus article was to present a collaborative model of clinical education for AAC preservice training. This clinical focus article will provide recommendations to support practicing SLPs in the provision of effective clinical instruction for preservice clinicians working with individuals with complex communication needs who require AAC.

Method:

There is an urgent need for improved training for clinical educators providing instruction in AAC. In this clinical focus article, a literature review of the existing evidence regarding best practices in clinical education and AAC training for SLPs was completed to explore current theoretical and practical approaches. The evidence was utilized to create a collaborative model of recommended clinical education in AAC.

Results:

There is limited guidance for clinical educators when it comes to training preservice clinicians. This clinical focus article provides recommendations for AAC training of preservice SLPs by clinical educators in the field of speech-language pathology.

Conclusions:

The collaborative model proposed in this clinical focus article delivers a roadmap to guide practicing SLPs in the development of AAC clinical competence of preservice clinicians. Future research is needed to evaluate the effectiveness of the model.
Scenario analysis of Taiwan's nuclear phase‐out strategy with time series forecasting
Authors: Hsu Jane Lu , Vo Nguyen Minh‐Trang , Chen You‐Ren , Chang Wen Chuan
Published: October 2023

Electricity generation in Taiwan is mainly from thermal, nuclear, and renewable sources. With nearly four decades of monthly data (from January 1982 to January 2022) used in analytics, the forecasting results reveal the patterns of electricity generation in Taiwan. Exponential smoothing and Holt–Winters seasonal models are used for time‐series forecasting, and scenario analysis is applied to simulate possible paths for nuclear phase‐out in Taiwan by 2025. Taking the fact of Taiwan's lack of energy independence into account, transition for nuclear phase‐out may require a substantial leap to meet the demand. The feasibility of electricity generation using current thermal power capacity and renewable energy remain challenging.
Textile defect detection based on multi‐proportion spatial attention mechanism and channel memory feature fusion network
Authors: Ji Yaxin , Di Lan
Published: October 2023

This paper presents a textile defect detection method that utilizes a multi‐proportion spatial attention mechanism and channel memory feature fusion network by addressing the difficulties presented by complicated shapes and large size variations. In particular, a multi‐proportion spatial attention mechanism (MPAM) is introduced, which employs multi‐proportion convolution to improve the backbone network's capacity to detect non‐uniform structural defects. Additionally, the generality and adaptability of the model are enhanced by a multi‐scale spatial pyramid pooling structure (MS‐SPP). Second, a channel attention mechanism‐based memory feature fusion network is developed, which incorporates channel attention to adaptive weight the feature channels, focusing on crucial information channels to efficiently fuse contextual features and enhance the model's memory capacity. Finally, a novel efficient Wise‐IoU (EWIoU) loss function is proposed, which utilizes a dynamic non‐monotonic focusing mechanism to increase the penalty on distance measurement, thus enhancing the model's detection performance. Experiment findings on the ZJU‐Leaper and Tianchi textile datasets reveal that compared to the YOLOv7 baseline, the method in this paper has an increase of 6.5 and 2 percentage points, respectively, and the detection accuracy is better than most existing networks.
ELoran signal message prediction algorithm based on Alexnet‐ECA
Authors: Zhang Kai , Yang Fan , Wang Weidong , Ye Xiaotao
Published: October 2023

Enhanced Loran (eLoran) is the most important backup system for Global Navigation Satellite System (GNSS). However, most current eLoran demodulation methods are based on digital signal processing, which may produce large errors under the influence of strong interference or noise. The authors propose an eLoran signal message prediction algorithm based on deep learning. Using time‐frequency (TF) analysis convert one‐dimensional signal into two‐dimensional high‐resolution image. It improves Alexnet by adjusting the convolutional layer structure, adding an attention module, and reducing the pooling layer window to construct the Alexnet‐ECA network. The network is used to identify TF image features and predict signal message. The experimental results show that novel method for eLoran signal message prediction based on Alexnet‐ECA can achieve high accuracy and robustness in various SNR scenarios. The accuracy is more than 90% at SNR greater than 10db and not less than 80% even in the complex environments. Compared with Resnet34 and VGG16 networks, Alexnet‐ECA demonstrates its efficiency and effectiveness using real measurement data. This method can enhance the performance and reliability of eLoran receivers and applications.
GMP-selected dual and lensed AGNs: Selection function and classification based on near-IR colors and resolved spectra from VLT/ERIS, Keck/OSIRIS, and LBT/LUCI
Authors: Mannucci F. , Scialpi M. , Ciurlo A. , Yeh S. , Marconcini C. , Tozzi G. , Cresci G. , Marconi A. , Amiri A. , Belfiore F. , Carniani S. , Cicone C. , Nardini E. , Pancino E. , Rubinur K. , Severgnini P. , Ulivi L. , Venturi G. , Vignali C. , Volonteri M. , Pinna E. , Rossi F. , Puglisi A. , Agapito G. , Plantet C. , Ghose E. , Carbonaro L. , Xompero M. , Grani P. , Esposito S. , Power J. , Guerra Ramon J. C. , Lefebvre M. , Cavallaro A. , Davies R. , Riccardi A. , Macintosh M. , Taylor W. , Dolci M. , Baruffolo A. , Feuchtgruber H. , Kravchenko K. , Rau C. , Sturm E. , Wiezorrek E. , Dallilar Y. , Kenworthy M.
Published: October 2023

The Gaia Multipeak (GMP) technique can be used to identify large numbers of dual or lensed active galactic nucleus (AGN) candidates at subarcsec separation, allowing us to study both multiple supermassive black holes (SMBHs) in the same galaxy and rare, compact lensed systems. The observed samples can be used to test the predictions of the models of SMBH merging when (1) the selection function of the GMP technique is known, and (2) each system has been classified as a dual AGN, a lensed AGN, or an AGN/star alignment. Here we show that the GMP selection is very efficient for separations above 0.15″ when the secondary (fainter) object has a magnitude G ≲ 20.5. We present the spectroscopic classification of five GMP candidates using VLT/ERIS and Keck/OSIRIS and compare them with the classifications obtained from (a) the near-IR colors of seven systems obtained with LBT/LUCI, and (b) the analysis of the total spatially unresolved spectra. We conclude that colors and integrated spectra can already provide reliable classifications of many systems. Finally, we summarize the confirmed dual AGNs at z >  0.5 selected by the GMP technique, and compare this sample with other such systems from the literature, concluding that GMP can provide a large number of confirmed dual AGNs at separations below 7 kpc.
Advancements in waveguide architectures using high-performance silica-on-silicon platform - INVITED
Authors: Bidnyk Serge , Yadav Ksenia , Balakrishnan Ashok
Published: October 2023

Novel applications in optical coherence tomography (OCT) and LiDAR systems have become possible due to performance characteristics of a state-of-the-art silica-on-silicon planar lightwave circuit (PLC) platform. We have achieved ultra-low propagation losses of <0.009 dB/cm with unmatched phase control in a polarization-insensitive way, enabling a range of real-time advanced vision and imaging applications utilizing k-clocks and analog frequency sampling architectures.
Advanced photonic integrated circuit building blocks for reconfigurability in hyperscale data centres - INVITED
Authors: Pitwon Richard , Lee Bernard
Published: October 2023

In this talk we introduce two new European projects DYNAMOS and ADOPTION, which will develop advanced integrated photonic technologies for WDM hyperscale data centre architectures including a novel stamped metallic micro-mirror array for advanced PIC-to-fibre coupling with the potential to dramatically reduce PIC design and assembly costs. We also discuss international standardization efforts for these corresponding optical interconnect technologies for future hyperscale data centre, HPC and 6G and Quantum environments.
Advances in silicon photonics for high-capacity optical interconnects - INVITED
Authors: Tsang Hon Ki , Yi Dan , Zhou Xuetong , Chan David Weng U.
Published: October 2023

We review our recent progress on advanced silicon photonic devices and photonic circuits, including advanced grating couplers, modulators, mode and polarization division multiplexing and integrated optical signal processors for use in high capacity data center interconnects. The use of shifted polysilicon overlay gratings on waveguide grating couplers to improve coupling efficiency and polarization independence will be described. We also present our recent results on silicon microring and silicon-germanium electroabsorption modulators for 100Gbaud data transmission and their use polarization and mode division multiplexed optical fiber interconnects. We present novel integrated optical signal processors which can unscramble the mixing of polarization and mode data lanes that will occur after fiber transmission and demonstrate 400Gb/s per wavelength intensity modulation direct-detection silicon photonic transceivers.
Mesoscopic optics in coupled microcavities
Authors: Hentschel Martina , Rodemund Tom Simon , Sinzinger Stefan
Published: October 2023

Deformed microdisc cavities possess versatile application potential ranging from microlasers to sensors. Here, we investigate arrays of several coupled microcavity resonators. The coupling interaction between the cavities induces a wide range of features that sensitively depend on, and therefore can be controlled via, the intercavity distance. We use semiclassical methods from mesoscopic optics to characterise the system and its dynamics in real and phase space using Husimi functions. Our findings can inspire novel optical devices such as supersensors or novel light sources.
Visible imaging system optical design by continuous optimization of glasses
Authors: Héron Sébastien , Semet Yann
Published: October 2023

Choice of lenses materials in optical design is crucial to reduce aberrations down to an acceptable level. Commercial glasses do not cover a continuous range of refractive indices and must be selected in a discrete library making them discrete variables in any optimization design process to achieve the final optical design to be manufactured. This paper proposes an alternative method to avoid the complicated discrete variables optimization process thanks to a two-steps continuous optimization methodology starting with fictitious glasses models before jumping to the real glasses optimization design. The illustration of this process and achieved results are presented on an example of optical system which validates our proposed method.
Inspection of plant pathologies through pseudocolored images based on polarimetric basis
Authors: Canabal-Carbia Mónica , Sánchez-Montes Adriana R. , Rodríguez Carla , Estévez Irene , Luque Jordi , Garnatje Teresa , Campos Juan , Lizana Angel
Published: October 2023

The study of the interaction of biological tissue with polarized light leads to relevant information of physical properties (dichroism, retardance and depolarization) of samples. Polarimetric analysis of different characteristics in tissues is useful for applications such us tissue classification, contrast enhancement or pathology detection. By means of polarimetric imaging techniques we can characterize the polarimetric signature of biological samples in a noninvasive and nondestructive way. We have found that depolarization information is of special interest in turbid media such as plant tissue. In this manuscript we use polarimetric observables for plant inspection. In particular, we provide enhanced visualization of certain plant pathologies by constructing depolarization based pseudocolored images of pathological leaves where the pathological areas are revealed.
Fabrication of Plano-convex Microlenses using Two-Photon Polymerization for Bioimaging with Non-Linear Excitation Microscopy
Authors: Kariman Behjat S. , Nardini Alessandra , Grassi Marco , Marini Mario , Conci Claudio , Bouzin Margaux , Collini Maddalena , Raimondi Manuela T. , Chirico Giuseppe , Osellame Roberto , Cerullo Giulio , Martínez Vázquez Rebeca
Published: October 2023

A recent challenge in bioimaging is the observation and imaging of vital, thick, and complex tissues in real time and in non-invasive mode. In the last decade, non-linear excitation microscopy showed several advantages for in-vivo imaging compared to conventional confocal techniques. Nevertheless, deep tissue imaging remains challenging, especially for thick media, due to spherical aberrations induced on focused beams by the tissue. A low numerical aperture objective lens coupled to high dioptric power microlenses, implanted in the tissue, can be beneficial for the reduction of optical aberrations. In this context, we fabricated a system of plano-convex microlenses and microscaffolds on a single chip by means of two-photon polymerization), to be used for non-linear imaging of biological specimens.
Multispectral imaging via feature selection: A frugal innovation approach for pathogen identification
Authors: Leroux Denis , Petit Manuel , Davenas Corinne , Fulchiron and Corine
Published: October 2023

In order to develop an affordable clinical diagnostic instrument for use in more decentralized settings, we have assessed the feasibility to move from hyperspectral to multispectral imaging via parsimonious feature selection. The targeted application is the label-free identification at the species-level of uropathogens from images of bacterial colonies on their growth support. We show that the number of predictors (i.e., discrete spectral channels), can be dramatically reduced from 240 to less than 10 channels with limited performance loss. The impact of bandwidth is also investigated to consider the high degree of redundancy of raster images obtained by diffuse reflectance and propose a suitable design for a simple filter wheel based solution. Targeting the 8 most prevalent bacterial species responsible for > 80% of urinary tract infections, up to 94% of correct identification rate was reached using only 4 spectral windows.
Multispectral imaging for pathogen identification using a filter wheel and smartphone: A frugal innovation approach
Authors: Leroux Denis , Alonso Florian , Coent Tanguy , Garros Maeva , Montvernay Régis , Le Bihan Yann , Fulchiron Corine
Published: October 2023

To create an affordable clinical test for use in more decentralized settings, we are developing a multispectral imaging system based on a filter wheel and a smartphone. Our application is the label-free identification of uropathogens from images of bacterial colonies directly on a non-chromogenic culture medium. Using feature selection techniques, we have previously shown through calculations, the possibility to move from hyper- to multi- spectral imaging by exploiting less than 8 spectral bands. Here, we confirm our findings by testing a database of true multispectral images acquired using a filter wheel holding up to 22 dichroic bandpass filters with a 10 nm bandwidth. Performance is reported for 5 species using only 6 filters. Probabilistic SVM algorithms were implemented to allow to reject species other than the targeted most prevalent uropathogens as it is crucial to keep the false-positive rate low. Evolution of specificity and sensitivity with probability threshold are discussed in the light of probability frequency distributions.
Over-coupled Helmholtz-like optical resonator for enhanced infrared spectroscopy of molecules
Authors: Paggi Laura , Fabas Alice , El Ouazzani Hasnaa , Fayard Nikos , Hugonin Jean-Paul , Bardou Nathalie , Dupuis Christophe , Greffet Jean-Jacques , Bouchon Patrick
Published: October 2023

Electromagnetic Helmholtz resonators are able to strongly and homogeneously enhance an electric field in relatively large volumes, making them attractive for applications to surface enhanced infrared absorption spectroscopy of molecules. We show in this study that such a structure, designed in the over-coupling regime can demonstrate strong enhancement of molecular modes of the polymer poly(methyl methacrylate) and the explosive molecule 2,4-dinitrotoluene over a very wide wavelength range between 5 and 10 µm. Reflectivity contrast provides access to the analyte’s absorption and quantitative information. Helmholtz-like resonators therefore offer a new platform for the creation of sensitive and versatile sensors.
One mode-model in nanostructures with inclined sidewalls applied to nano Fabry-Perot structures
Authors: Lackner Jules , Fix Baptiste , Bosseboeuf Alain , Bouchon Patrick
Published: October 2023

Metasurfaces are engineered with specific shapes and sizes to interact with light in a unique way. By manipulating the design of the metasurface, it is possible to control optical properties of the surface such as its thermal emissivity. However, thin layers patterning techniques can lead to side-wall angles, thus modifying light propagation within the structure. Here, we introduce a one-mode model that fairly describes the propagation of light in structures with inclined sidewalls. We applied this method to two families of plasmonics resonators: nano Fabry-Perot and coupled nano Fabry-Perot with refractory materials ZrC and tungsten.
Improving optical trapping of a single upconverting nanoparticle by plasmonic structure
Authors: Zhang Fengchan , Almeida Oiticica Pedro Ramon , Setsuko Arai Marylyn , Oliveira Osvaldo N. , Stucchi de Camargo Andrea Simone , Jaque Daniel , Haro González Patricia
Published: October 2023

Upconverting nanoparticles have been used as optical probes in a great variety of scenarios ranging from cells to animal model. A single upconverting nanoparticles can be remotely manipulated by laser in a contactless way. When assessing an optically trapped single nanoparticle, the luminescence intensity and the trapping stability is very limited. We proposed the plasmonic enhancement to improve the luminescence efficiency of a trapped upconverting nanoparticles. The optical trapping force was demonstrated to be improved simultaneously.
Efficient method for the numerical extraction of Bergman’s spectral density function
Authors: Guerra Timothée , Rozenbaum Olivier , Blanchard Cédric
Published: October 2023

Effective properties of random particulate media are key to better understand their electromagnetic characteristics. For that purpose, many effective medium theories were developed. In this work, Bergman’s theory of homogenisation is explored. The core of this theory is its spectral density function (SDF), which contains the contribution of the mixture internal geometry on the effective properties. Here, we extract it with a standard but time-consuming homogenisation procedure, and a novel one, much faster. The two homogenisation methods plus the two extracted SDFs are then compared using a practical example showcasing excellent agreement between them.