bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Origin of Rapid Capacity Loss in 1,1,1‐Trifluoroethyl Methyl Carbonate – Based Lithium‐Ion Battery Electrolytes
Authors: Gebert Florian , Gogoi Neeha , Siriwardena Dumindu P. , Naylor Andrew J. 
Published: September 2024

Abstract1,1,1‐trifluoroethyl methyl carbonate (FEMC) is a popular non‐flammable solvent for lithium‐ion battery electrolytes, although its high irreversible capacity means it can only be used with film‐forming additives like fluoroethylene carbonate (FEC). This work studies the origin of the high irreversible capacity of FEMC‐containing cells. Scanning electron microscopy and Raman spectroscopy of graphite anodes after charging and discharging in an FEMC electrolyte show evidence of significant physical and chemical graphite degradation, likely caused by solvent co‐intercalation, which is probably responsible for a large portion of the capacity loss. X‐ray photoelectron spectroscopy analysis of the anodes shows very low graphite signals, a sign of graphite degradation, formation of a thick solid electrolyte interphase (SEI), or both. When a small amount of FEC is added to FEMC, co‐intercalation does not occur. FEC reduction occurs at a higher potential versus Li/Li+ than FEMC co‐intercalation. It also forms a significantly different and thinner SEI containing more carbon, less fluorine, and no apparent FEMC decomposition products.
Advancing the Coupling of III–V Quantum Dots to Photonic Structures to Shape Their Emission Diagram
Authors: Bossavit Erwan , Yeromina Oleksandra , Mastrippolito Dario , Cavallo Mariarosa , Zhang Huichen , Gemo Tommaso , Colle Albin , Khalili Adrien , Shcherbakov Andrei , Nguyen Lam Do , Abadie Claire , Dandeu Erwan , Silly Mathieu G. , Gallas Bruno , Pierucci Debora , Degiron Aloyse , Reiss Peter , Lhuillier Emmanuel 
Published: September 2024

AbstractThe development of optoelectronic devices based on III–V semiconductor colloidal quantum dots (CQDs) is highly sought after due to their reduced toxicity. While devices based on conventional CQDs (II–VI semiconductors, halide perovskites) have achieved impressive technological leaps since their discovery, the most mature of these compounds contain toxic heavy metal elements (Cd, Hg, or Pb), which are highly undesirable for safe industrial scale applications. The strong covalent bonds of III–V compounds like InP, InAs, or InSb prevent the release of their toxic atoms, making them safer. However, these same bonds create severe material constraints. Namely, their harsher reaction conditions and increased sensitivity to oxidation have kept most of the research focused on material development. Meanwhile, their integration into devices and their coupling to photonic structures lag behind. Here, the integration of InAs/ZnSe core‐shell CQDs is advanced. First, the material parameters necessary to design plasmonic gratings coupled to the CQDs are elucidated and those gratings are fabricated. Angle‐resolved spectroscopy shows that the plasmon modes successfully couple to the CQD layer's emission leading to a tunable directivity with a 15° linewidth. A 3‐fold increase of the PL signal is achieved at normal incidence, thus advancing toward the goal of efficient outcoupling in LEDs.
Exercise Induced Endothelial Mesenchymal Transition (EndMT) Facilitates Meniscal Fibrocartilage Regeneration
Authors: Yan Wenqiang , Wu Haoda , Wu Yue , Gao Zeyuan , Li Zong , Zhao Fengyuan , Cao Chenxi , Wang Jianquan , Cheng Jin , Hu Xiaoqing , Ao Yingfang 
Published: September 2024

AbstractThe meniscus is a semilunar wedge‐shaped fibrocartilage tissue within the knee joint that is important for withstanding mechanical shock during joint motion. The intrinsic healing capacity of meniscus tissue is very limited, which makes meniscectomy the primary treatment method in the clinic. An effective translational strategy for regenerating the meniscus after total or subtotal meniscectomy, particularly for extensive meniscal lesions or degeneration, is yet to be developed. The present study demonstrates that the endothelial mesenchymal transition (EndMT) contributes to meniscal regeneration. The mechanical stimulus facilitated EndMT by activating TGF‐β2 signaling. A handheld bioprinter system to intraoperatively fabricate a porous meniscus scaffold according to the resected meniscus tissue is developed; this can simplify the scaffold fabrication procedure and period. The transplantation of a porous meniscus scaffold combined with a postoperative regular exercise stimulus facilitated the regeneration of anisotropic meniscal fibrocartilaginous tissue and protected the joint cartilage from degeneration in an ovine subtotal meniscectomy model. Single‐cell RNA sequencing and immunofluorescence co‐staining analyses further confirmed the occurrence of EndMT during meniscal regeneration. EndMT‐transformed cells gave rise to fibrochondrocytes, subsequently contributing to meniscal fibrocartilage regeneration. Thus, an efficient translational strategy to facilitate meniscal regeneration is developed.
Driving Wi‐Fi IoT Sensors by a Hybrid Magneto‐Mechano‐Electric Energy Generator Extracting a Power of over 50 mW
Authors: Lee Seungah , Baek Chang Min , Kim Gang Hyeon , Pattipaka Srinivas , Song Hyunseok , Jang Jongmoon , Hwang Geon‐Tae , Ryu Jungho 
Published: September 2024

AbstractEnergy harvesting technology is mainly used as a power source for driving Internet of Things (IoT) devices. However, the output power of conventional harvesting devices are limited, suitable only for low‐power‐consumption IoT sensors based on Bluetooth communication. In contrast to Bluetooth, wireless fidelity (Wi‐Fi) communication offers superior real‐time monitoring and transmission capabilities, but requires more power in the range of hundreds of milliwatts or higher. Therefore, the hybridization of three energy conversion devices, namely, piezoelectric magneto‐mechano‐electric (MME) generator, electromagnetic (EM) induction coil, and triboelectric nanogenerator (TENG) is proposed as a standalone power source for Wi‐Fi communication sensors. By integrating these three mechanisms, the hybrid MME energy harvester can achieve an output power exceeding 50 mW at the second harmonic resonance condition under the alternating current (AC) magnetic field of 10 Oe. Furthermore, it can successfully drive the Wi‐Fi sensor, enabling continuous real‐time monitoring without the degradation of charged power in a supercapacitor. These results highlight that energy harvesting technology is not limited to low‐power devices but can also be applied to Wi‐Fi communication sensors and beyond.
NIR‐I Activated Orthogonal NIR‐IIb/c Emissions in a Lanthanide‐Doped Nanoparticle for Fluorescence Imaging and Information Encryption
Authors: Li Qiqing , Huang Yuanping , Zhu Haoyu , Zhu Yaqi , Yi Yuexi , Li Xiaodan , Chen Haoran , Li Bin , Li Dabing , Chang Yulei 
Published: September 2024

AbstractApplying the orthogonal principle for distinguishable second near‐infrared (NIR‐II) emissions has brought new dimensions for ratio fluorescence imaging (RFI) detection and information encryption, deepening the tissue detection depth and improving signal‐to‐noise ratio and information security. However, the orthogonal NIR‐II emissions underlying these advanced optical applications have been reported only in heterogeneous structures and mixtures, limiting their practicality and potential impact. Herein, NIR‐I‐activated orthogonal NIR‐IIb/c (1530/1825 nm) emissions nanoparticles (ONNPs) are developed by spatially separated doping of Tm3+ and Er3+ emitter upon switching 808 and 980 nm excitations. RFI techniques and orthogonal NIR‐II emission ONNPs are used to demonstrate vessel depth detection based on wavelength‐dependent optical attenuation properties in tissue. The superiority of the optical coding and encoding process in a 4 × 1 binary matrix is demonstrated for anticounterfeiting and decryption imaging of quick‐response (QR) code for information storage. The research progress of this NIR‐II orthogonal emissions probe will drive the development of biomedical sensing, imaging safety, and future biophotonics technologies.
Nanosecond Magneto‐Ionic Control of Magnetism Using a Resistive Switching HfO2 Gate Oxide
Authors: Jeong Jimin , Park Yeon Su , Kang Min‐Gu , Park Byong‐Guk 
Published: September 2024

AbstractVoltage‐controlled magnetism (VCM) offers an efficient operating method for various spintronic applications, with reduced power consumption compared to conventional current‐driven technologies. Among the VCM mechanisms, magneto‐ionic control provides large modulation and non‐volatile characteristics. However, its operating speed is limited to a microsecond timescale due to slow ion migration, which must be improved for practical device applications. Here, the nanosecond operation of magneto‐ionic VCM in a Ta/CoFeB/MgO/AlOx structure by introducing an HfO2 gate oxide with resistive switching characteristics is demonstrated. By inducing soft breakdown in the HfO2 gate oxide, the coercivity of the perpendicularly magnetized CoFeB can be controlled by 20% with a 20 ns gate voltage of ≈7 MV cm−1. This nanosecond magneto‐ionic VCM performance is maintained after repeated operations up to 10 000 cycles. Further, by utilizing an HfO2 gate in a spin‐orbit torque (SOT) device, the ability to control field‐free SOT switching polarity with nanosecond gate voltages is demonstrated. These findings provide a novel pathway to realize nanosecond, non‐volatile VCM for low‐power spintronic applications.
An Electrolyte‐Gated InGaZnO Phototransistor that Emulates Visual Experience‐Dependent Plasticity
Authors: Wang Zheng , Zhang Mingzhen , Xie Donggang , Liu Zhuohui , Li Ge , Xie Jiahui , Guo Erjia , He Meng , Wang Can , Yang Guozhen , Jin Kuijuan , Ge Chen 
Published: September 2024

AbstractInspired by neurobiological learning rules, bionic devices that simulate the fundamental functions of synapses and neurons provide a highly effective approach to neuromorphic computing. Among various learning rules, the Bienenstock‐Cooper‐Munro (BCM) learning rule can explain the threshold sliding effect of synaptic weight modification in the visual cortex, which is difficult to explain with the classical Hebb's rule. Existing research mainly focuses on exploiting electrical stimulation to implement the BCM rule, while the optical implementation is still unexplored. In this paper, the light‐history‐dependent BCM learning rule is implemented with electrolyte‐gated InGaZnO (IGZO) transistors. The channel conductance can be modulated through light illumination and electrical stimulation. By utilizing the light‐history‐dependent property of the IGZO electrolyte‐gated transistor and following the triplet‐spike‐timing‐dependent plasticity (STDP) rules, the BCM learning rule is successfully emulated in a single device. Moreover, the light‐history‐dependent property enables a variety of bionic vision functions including image edge detection and associative memory. This work provides a paradigm for the novel implementation of the BCM rule and paves the way for further development of machine vision systems.
Azide‐Induced Furan Ring Opening for the Synthesis of Functionalized Indoles
Authors: Chalikidi Petrakis N. , Magkoev Taimuraz T. , Egorov Dmitry I. , Kolodina Alexandra A. , Uchuskin Maxim G. , Trushkov Igor V. , Abaev Vladimir T. 
Published: September 2024

AbstractWe investigated the reactivity of various furans towards 2‐azidobenzaldehydes, heterocyclic azidoaldehydes, and substituted 2‐azidobenzyl alcohols to synthesize 2‐(2‐azidobenzyl)furan derivatives, revealing the azide group's remarkable compatibility with typical Friedel‐Crafts reaction conditions. Additionally, we demonstrated that these derivatives could be efficiently synthesized via a diazotization/azidation sequence from 2‐(2‐aminobenzyl)furans containing electron‐donating substituents, successfully avoiding undesirable side reactions. Furthermore, we developed a synthetic methodology for preparing 2‐(2‐acylvinyl)indoles, involving the thermal generation of nitrenes to initiate furan ring opening. Notably, our approach utilizes the azidoaryl group and the furan ring separated by a saturated carbon atom that distinguishes it from known indole syntheses in which these moieties are conjugated. The broad applicability and high efficiency of our method, using readily available starting materials, highlight its potential as a versatile synthetic tool.
Brønsted Acid‐Stibine Oxide Complexes as Organocatalysts for the Activation of Alkenes
Authors: Ishida Nagisa , Nishida Yuuki , Hamada Shohei , Yasui Hiroyuki , Furuta Takumi , Kobayashi Yusuke 
Published: September 2024

AbstractVarious hydroxystibonium salts were synthesized via the one‐pot oxidation/salt formation of a series of triarylstibines. The properties of the ortho‐substituents on the aryl groups were elucidated via X‐ray crystallographic analysis and computational studies. Moreover, the catalytic reactivity of the hydroxystibonium salts with alkenes was investigated, and the involvement of a radical species is proposed based on the results of mechanistic studies.
Deletion of miR‐33, a regulator of the ABCA1–APOE pathway, ameliorates neuropathological phenotypes in APP/PS1 mice
Authors: Tate Mason , Wijeratne H. R. Sagara , Kim Byungwook , Philtjens Stéphanie , You Yanwen , Lee Do‐Hun , Gutierrez Daniela A. , Sharify Daniel , Wells Megan , Perez‐Cardelo Magdalena , Doud Emma H. , Fernandez‐Hernando Carlos , Lasagna‐Reeves Cristian , Mosley Amber L. , Kim Jungsu 
Published: September 2024

AbstractINTRODUCTIONRare variants in ABCA1 increase the risk of developing Alzheimer's disease (AD). ABCA1 facilitates the lipidation of apolipoprotein E (apoE). This study investigated whether microRNA‐33 (miR‐33)‐mediated regulation of this ABCA1–APOE pathway affects phenotypes of an amyloid mouse model.METHODSWe generated mir‐33+/+;APP/PS1 and mir‐33−/−;APP/PS1 mice to determine changes in amyloid pathology using biochemical and histological analyses. We used RNA sequencing and mass spectrometry to identify the transcriptomic and proteomic changes between our genotypes. We also performed mechanistic experiments by determining the role of miR‐33 in microglial migration and amyloid beta (Aβ) phagocytosis.RESULTSMir‐33 deletion increases ABCA1 levels and reduces Aβ accumulation and glial activation. Multi‐omics studies suggested miR‐33 regulates the activation and migration of microglia. We confirm that the inhibition of miR‐33 significantly increases microglial migration and Aβ phagocytosis.DISCUSSIONThese results suggest that miR‐33 might be a potential drug target by modulating ABCA1 level, apoE lipidation, Aβ level, and microglial function.Highlights
Loss of microRNA‐33 (miR‐33) increased ABCA1 protein levels and the lipidation of apolipoprotein E.
Loss of miR‐33 reduced amyloid beta (Aβ) levels, plaque deposition, and gliosis.
mRNAs and proteins dysregulated by miR‐33 loss relate to microglia and Alzheimer's disease.
Inhibition of miR‐33 increased microglial migration and Aβ phagocytosis in vitro.
Photon‐Assisted Quantum Phase Transitions in a Cavity Optomechanical System with Two Nonlinear Mechanical Modes
Authors: Jiang Deng‐Kui , Zhang Rui , Liu Ying , Kuang Le‐Man 
Published: September 2024

AbstractPhoton‐assisted quantum phase transitions (QPTs) are studied in a cavity optomechanical system that consists of one optical cavity and two nonlinear mechanical resonators and explore ground‐state properties of quantum phases. It is indicated that the cavity mode can induce effective two‐phonon tunneling interaction between two mechanical resonators. It is found that QPTs between the localization phase (LP) and delocalization phase (DP) of phonons can happen through tuning the phonon tunneling interaction. It is shown that the photon‐assisted QPT is the second order QPT. Ground‐state properties of the quantum phases are also investigated. It is indicated that the ground state of the LP is a separable squeezed state while the ground state of the DP is an entangled state. The results open a new way to engineer quantum phases and QPTs in macroscopic mechanical systems and can benefit a wide range of criticality‐enhanced quantum sensing applications.
A New Class of Oxyhalide Solid Electrolytes NaNbCl6‐2xOx for Solid‐state Sodium Batteries
Authors: Kmiec Steven , Ruoff Erick , Manthiram Arumugam 
Published: September 2024

AbstractSodium‐based batteries are gaining momentum due to the abundance and lower cost of sodium compared to lithium. Solid‐state sodium batteries can also provide further safety advantages. However, sodium‐based solid‐state electrolytes (SSEs) that meet all the rigorous requirements, such as high ionic conductivity, oxidative stability with the cathode, and ease of processability, are lacking. We present here a new class of sodium‐based oxyhalide electrolytes NaNbCl6‐2xOx with a facile mechanochemical synthesis. The oxyhalide NaNbCl4O exhibits close to two orders of magnitude higher ambient‐temperature sodium‐ion conductivity (1.03×10−4 S cm−1) compared to the halide counterpart NaNbCl6 (3×10−6 S cm−1). Structural motifs unique to the oxygen content in NaNbCl6‐2xOx are identified with 23Na and 93Nb magic angle spinning nuclear magnetic resonance (MAS NMR) spectroscopy and x‐ray diffraction (XRD). Solid‐state sodium batteries assembled with NaNbCl4O electrolyte and the cobalt‐ and nickel‐free layered Na0.70Fe0.3Mn0.65Al0.05O2 cathode exhibit a maximum discharge capacity of 155 mAh g−1 with good cycle life at ambient temperature.
Homonuclear Super‐Resolution NMR Spectroscopy
Authors: Gampp Olivia , Wenchel Luca , Güntert Peter , Riek Roland 
Published: September 2024

AbstractIn homonuclear 1H NMR (nuclear magnetic resonance) spectra such as [1H,1H]‐NOESY (Nuclear Overhauser Enhancement spectroscopy), which is a historic cornerstone spectrum for biomolecular NMR structural biology, hundreds to thousands of cross peaks are present within a square of approximately 100 ppm2 leading to a lot of signal overlap. Spectral resolution is thus a limiting factor for unambiguous chemical shift assignment and data interpretation for dynamics and structure elucidation. Acquiring the spectra at higher magnetic fields such as at a 1.2 GHz 1H frequency helps to reduce spectral crowding, since resolution scales proportionally to the magnetic field strength. Here, we show that the linewidths of cross peaks in [1H,1H]‐NOESY and [1H,1H]‐TOCSY spectra can be further reduced by a factor of 2–3 in each dimension by super‐resolution spectroscopy. In the indirect dimension a composite exponential‐cosine weighted number of scans along the time increments are recorded and digitally smoothened by a window function, while in the direct dimension an exponential‐cosine window function is applied. Furthermore, measurement time saving by reduced‐acquisition super‐resolution (RASR) is introduced. Application to the 20 kDa protein KRAS shows that highly resolved NMR spectra suitable for automated analysis can be acquired within less than 3 hours. The method opens an avenue towards automated chemical shift assignment, dynamics and structure determination of unlabeled small and medium size proteins within 24 hours.
Prescribed‐time fault‐tolerant synchronization control of complex dynamical networks using time‐varying protocols
Authors: Lodhi Zain ul Aabidin , Zhang Kai 
Published: September 2024

AbstractThis research delves into the intricacies of the prescribed‐time synchronization control problem of a class of complex dynamical systems, all while factoring in the presence of time‐varying actuator faults. An innovative time‐varying protocol is initially established for the case of additive actuator faults, hinging on the solution to a particular set of parametric Lyapunov equations. Through the astute exploitation of the scalarization properties intrinsic to the solution to the parametric Lyapunov equation, the time‐varying parameter within the protocol is effectively ascertained. Furthermore, to mitigate the impact stemming from multiplicative actuator fault(s), an alternative protocol is also introduced. Through rigorous analysis rooted in the principles of Lyapunov, it is demonstrated that the synchronization errors in both scenarios remain bounded, ultimately converging to zero within a predetermined time frame. The developed protocols are employed in coupled Chua's circuit control systems with faulty actuators, and simulation results validate the efficacy of the proposed approaches.
Effects of a muscle relaxation exercise programme on test anxiety and sleep quality among fourth‐year nursing students before comprehensive examination in Palestine
Authors: Amro Mohammad , Malak Malakeh Z. , Ayed Ahmad 
Published: September 2024

AbstractIntroductionThere is a lack of research on the effect of progressive muscle relaxation (PMR) on minimising test anxiety and enhancing sleep quality among nursing students in Arab countries, including Palestine. Therefore, this study aimed to investigate the effects of a PMR intervention programme on test anxiety and sleep quality in fourth‐year nursing students before the comprehensive examination in Palestine.MethodsA one‐group pre‐/postdesign was conducted on a group of fourth‐year nursing students before the comprehensive examination (N = 60) at Arab American University in Palestine. The PMR programme consisted of five sessions lasting 45 min over the course of 1 week and was implemented from the beginning of January to the end of January 2024.ResultsFindings indicated a significant difference in test anxiety pre‐ and post‐PMR exercise (t[59] = 19.3, p < .01). Also, a significant difference was found in sleep quality before and after the PMR exercise (t[59] = 15.4, p < .01). Additionally, no difference was found in test anxiety and sleep based on age and gender pre‐/post‐PMR intervention programme.ConclusionThis study proposes that PMR effectively reduces test anxiety and improves sleep quality among nursing students. Therefore, the PMR programme should be incorporated as a therapeutic intervention for nursing students and students in general and particularly those suffering from test anxiety and poor sleep quality. Also, mental health counsellors and instructors can use such interventions in their therapeutic management as non‐pharmacological therapy.
Comparing perceived empathy and intervention strategies of an AI chatbot and human psychotherapists in online mental health support
Authors: Yonatan‐Leus Refael , Brukner Hadas 
Published: September 2024

AbstractBackgroundGiven the growing potential of artificial intelligence (AI) to enhance therapeutic interventions and work with a large number of people, it is crucial to understand AI's differences, advantages and limitations compared with human therapists.MethodologyThis study compared an AI chatbot's and human psychotherapists' capabilities in responding to mental health enquiries in an online forum. One hundred and fifty questions from a Reddit forum, where qualified therapists provide mental health support, were selected. Each question received two responses: one from a human therapist and one generated by AI. These 300 responses were coded and compared based on empathy indices and psychological intervention types.ResultsThe results indicated that AI scored significantly higher in perspective‐taking (V = 12,957, p < .001, r = .53) and empathic concern (V = 17,400, p < .001, r = .60). AI was more likely to use supportive interventions (42.2% vs. 21.8%) and slightly more likely to aim for insight‐driven change (6.41% vs. 4.57%). In contrast, human therapists were more inclined to provide advice and information (47.84% vs. 39.81%), explore dysfunctional patterns (19.95% vs. 10.29%) and ask clarifying questions (4.09% vs. 0.97%). A chi‐squared test confirmed significant differences between the intervention types used by AI and human therapists (χ2[8, N = 300] = 67.80, p < .001).DiscussionThese findings highlight AI's potential for basic perceived empathic support, especially in administrative tasks and therapist training. However, the study's scope is limited to single interactions, without the consideration of the nuanced communication available to human therapists through speech, facial expressions and body language.