bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phase Separation‐Induced Electrical Conductivity for Liquid Metal‐Embedded Plastic Hybrid Composites with Metallic Conductivity and Recyclability
Authors: Xin Yumeng , Cheng Yi , Sun Lianhao , Ren Haidong , Mao Xiyue , Yu Ping , Ban Xinxin , Lou Yang 
Published: June 2024

AbstractConductive fillers‐embedded plastic polymer hybrid composites are crucial electronic materials in modern technologies owing to their tunable conductive properties, low density, and corrosion resistance. However, the application of traditional rigid inorganic conductive fillers‐embedded plastic composites is constrained by their subpar electrical conductivity and mechanical properties. Consequently, liquid metals (LMs) including gallium and gallium‐based alloys, have recently emerged as the preferred conductive flexible fillers over traditional rigid fillers. This work employs a solvent evaporation method and phase separation‐induced conductivity mechanism. The resulting flexible and electrically conductive LM‐polycarbonate (PC) film circuits demonstrate ultrahigh metallic conductivity, robust mechanical performance, excellent solvent recyclability, and notable processability. The fluidic nature of LMs and the superior mechanical properties of the PC polymer confer high electrical stability and durability to the LM‐PC film circuits under diverse mechanical forces and environmental conditions. The LM‐PC film circuits are exceedingly promising and apt for use as flexible conductors in contemporary electrical applications, including electricity transmission and underwater working.
Resolving the Relaxation of Volatile Valence Change Memory
Authors: Hellwig Johannes , Funck Carsten , Siegel Sebastian , Sarantopoulos Alexandros , Spithouris Dimitrios , Menzel Stephan , Dittmann Regina 
Published: June 2024

AbstractMemristive devices based on the valence change mechanism are highly interesting candidates for data storage and hardware implementation of synapses in neuromorphic circuits. Although long‐term retention is often required for data storage applications, a slight resistance drift of the low resistive state (LRS) is observed even for stable devices. For other devices, the LRS has been observed to decay rapidly to the high resistive state (HRS). These types of devices are of interest for neuromorphic circuits where short‐term plasticity is required. In this work, the LRS relaxation of volatile, crystalline Pt/SrTiO3/Nb:SrTiO3: devices is investigated in detail, yielding time constants ranging from milliseconds to seconds. The decay is analyzed in terms of the Gibbs free energy gradient for the contribution of oxygen ion migration. A relaxation model based on drift‐diffusion dynamics is presented. The model may serve as a tool for developing guidelines and design rules for future volatile memristive technology based on Schottky barrier mediated electron transport.
All‐Solution‐Processed Top‐Emitting InP Quantum Dot Light‐Emitting Diode with Polyethylenimine Interfacial Layer
Authors: Jeon Youngwoo , Sim Soobin , Shin Doyoon , Bae Wan Ki , Lee Hyunkoo , Lee Hyunho 
Published: June 2024

AbstractRecent studies on top‐emitting structure, which is designed to enhance the color purity and outcoupling efficiency of quantum‐dot light‐emitting diodes (QLEDs), employ commercially unviable methods owing to limited options for applying the hole injection layer through solution processes on the bottom electrode. In this study, all‐solution‐processable conventional top‐emitting QLEDs (TQLEDs) are successfully fabricated by introducing a polyethylenimine (PEI) interlayer, doping isopropyl alcohol (IPA) into the hole‐injection layer (poly (3,4‐ethylenedioxythiophene):poly(4‐styrenesulfonate), PEDOT:PSS), and using the dynamic spin‐coating method. The increased hole injection resulting from the tuned anode‐HIL interface by the PEI and IPA‐doped HIL, coupled with the enhanced outcoupling efficiency and full width at half maximum (FWHM) derived from the optimized cavity length through simulation, realizes a red InP QLED with high efficiency and color purity. The optimized TQLED exhibits a maximum current efficiency and FWHM of 28.04 cd A−1 and 36 nm, respectively, which are threefold higher and 8 nm narrower than those of bottom‐emitting QLEDs, marking the highest current efficiency ever reported for top‐emitting red InP QLEDs.
Band Alignment Engineering in 2D Ferroelectric Van der Waals Heterostructures for All‐In‐One Optoelectronic Architecture
Authors: Lu Yanan , Xie Dabao , Zhang Congmin , Cao Dan , Chen Xiaoshuang , Shu Haibo 
Published: June 2024

Abstract2D van der Waals (vdW) heterostructures consisting of vertically stacking atomically thin semiconductors with different band structures provide a flexible platform to design integrated electronic and optoelectronic devices with multi‐functionalities. However, the realization of device multifunctionality requires the heterostructures with tunable band alignments. Here an efficient strategy is proposed by constructing 2D vdW ferroelectric semiconductor heterostructures composed of atomically thin ferroelectrics and semiconductors to achieve this goal. These calculated results indicate that the local built‐in electric field derived from the ferroelectric polarization can effectively modulate the band alignment of the heterostructures, leading to 36 potential band‐alignment transition pathways. Using SnS/In2Se3 vdW heterostructure as a prototype example, a reversible switching from high‐resistance to low‐resistance state is demonstrated by the band‐alignment transition from type‐II to type‐III driven by ferroelecric polarization switching, consequently leading to giant tunneling electroresistance (TER) ratio as high as 1012%. Moreover, the heterostructure with the momentum‐space matching band structure and in‐plane anisotropy exhibits broadband photoresponse from near‐infrared to ultraviolet regions and excellent polarization sensitivity with the dichroic ratio up to 10.3. The ferroelectric polarization‐dependent conductance state and photoresponse in the heterostructures make them large potential for the realization of all‐in‐one optoelectronic architecture in artificial vision system.
Lithium Battery‐Powered Extreme Environments Exploring: Principle, Progress, and Perspective
Authors: Ma Li , Li Nan , Zhou Sisi , Zhang Xianggong , Xie Keyu 
Published: June 2024

AbstractLithium batteries, holding great potential in future deep‐space and deep‐sea exploration, have extensively utilized in probes for extreme environments. However, the complex and harsh external physical forces, including radiation field, ultrasonic field, gravity field, magnetic field, temperature field, and other extreme environments, in isolation or combination, demand severe requirements for unique onboard power supplies. Herein, the fundamental understanding of the service behavior of lithium batteries in external extreme physical fields is focused on. Specifically, based on the unique physicochemical principle originated from these external extreme forces, the underlying mechanisms of external physical fields affecting thermodynamic and kinetic processes of liquid phase mass transfer, interface formation and evolution, and electrochemical deposition are emphatically highlighted. Moreover, with equal attention paid to the enhancement and degradation caused by extreme physical fields, recent progress in the service behavior of lithium batteries is thoroughly analyzed. Furthermore, strategies are scrutinized for mitigating the negative impacts of external physical fields and provide an overview of the comprehensive impacts of external muti‐physical fields. Finally, the potential challenges and future outlook of developing special power sources for deep space and deep sea exploration are proposed. This review provides fundamental guidance for the future of battery‐powered extreme environments exploration.
Patterns of venous collateral development after splenic vein occlusion associated with surgical and oncological outcomes after distal pancreatectomy
Authors: Sugimachi Keishi , Shimagaki Tomonari , Tomino Takahiro , Onishi Emi , Mano Yohei , Iguchi Tomohiro , Sugiyama Masahiko , Kimura Yasue , Morita Masaru , Toh Yasushi 
Published: June 2024

AbstractAimsSplenic vein occlusion (SpVO) due to a pancreatic tumor may result in the development of collateral circulation and left‐sided portal hypertension. This study aimed to investigate the impact of SpVO on distal pancreatectomy (DP) and provide insights about the management of such cases.MethodsThis retrospective analysis included 124 patients who underwent DP from 2014 to 2022. A subgroup analysis was performed on 88 patients who underwent DP for pancreatic ductal adenocarcinoma (PDAC).ResultsSpVO was found in 26 (20.8%) patients. The patients with SpVO had significantly larger splenic volumes and lower platelet counts. Compared to the patients with patent splenic veins (SpVs), the patients with SpVO underwent significantly longer operations (p = 0.006), with a higher incidence of postoperative complications (p = 0.002). We classified the collateral routes associated with SpVO into five patterns. The most common pattern was the left gastroepiploic vein type, which was associated with a tumor of the pancreatic body. In patients with PDAC, SpVO was associated with larger tumors, microscopic vascular permeation, and peritoneal recurrence. However, the differences between overall and recurrence‐free survival rates in the patients with SpVO vs those with patent SpVs were not significant.ConclusionsSpVO causes left‐sided portal hypertension, which can be a risk for perioperative complications in DP. Operative planning based on the classification of collateral flow patterns may help prevent intraoperative congestion and perioperative complications.
Novel machine‐learning model for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma
Authors: Daibo Susumu , Homma Yuki , Ohya Hiroki , Fukuoka Hironori , Miyake Kentaro , Ozawa Mayumi , Kumamoto Takafumi , Matsuyama Ryusei , Saigusa Yusuke , Endo Itaru 
Published: June 2024

AbstractAimLymph node metastasis is an adverse prognostic factor in pancreatic ductal adenocarcinoma. However, it remains a challenge to predict lymph node metastasis using preoperative imaging alone. We used machine learning (combining preoperative imaging findings, tumor markers, and clinical information) to create a novel prediction model for lymph node metastasis in resectable pancreatic ductal adenocarcinoma.MethodsThe data of patients with resectable pancreatic ductal adenocarcinoma who underwent surgery between September 1991 and October 2022 were retrospectively examined. Machine‐learning software (Statistical Package for the Social Sciences Modeler) was used to create a prediction model, and parameter tuning was performed to improve the model's accuracy. We also analyzed the contribution of each feature to prediction using individual conditional expectation and partial dependence plots.ResultsOf the 331 cases included in the study, 241 comprised the training cohort and 90 comprised the test cohort. After parameter tuning, the areas under the receiver operating characteristic curves for the training and test cohorts were 0.780 and 0.795, respectively. Individual conditional expectation and partial dependence plots showed that larger tumor size and carbohydrate antigen 19–9 and Duke pancreatic monoclonal antigen type 2 levels were associated with positive lymph node metastasis prediction in this model; neoadjuvant treatment was associated with negative lymph node metastasis prediction.ConclusionMachine learning may contribute to the creation of an effective predictive model of lymph node metastasis in pancreatic ductal adenocarcinoma. Prediction models using machine learning may contribute to the development of new treatment strategies in resectable pancreatic ductal adenocarcinoma.
Protective effects of ethnic enclaves: Testing pathways to alcohol use and use disorders in Mexican American young adults
Authors: Tam Christina C. , Li Libo , Kosai Sam , Duhart Clarke Sarah E. , Ehlers Cindy L. , Karriker‐Jaffe Katherine J. 
Published: June 2024

AbstractEthnic enclave residence is associated with decreased risk for drinking and related problems, but less is known about the mechanisms that explain this association. Informed by theories of social control, we used a multilevel framework to examine whether negative attitudes toward drinking mediated associations between ethnic enclave residence (i.e., neighborhood linguistic isolation) and alcohol outcomes among Mexican American young adults (N = 628) in Southern California. Model 1 assessed mediation effects in the pathways from linguistic isolation to current drinking and alcohol use disorder (AUD). Model 2 adjusted for parental drinking attitudes and neighborhood alcohol availability. There were differential associations by gender in direct effects of linguistic isolation and negative drinking attitudes on both drinking and AUD. Among women only, linguistic isolation was related to greater abstinence and decreased AUD after accounting for social control proxies of parent attitudes and alcohol availability. Young adults' own drinking attitudes did not mediate relationships between linguistic isolation and alcohol outcomes. This study offers evidence on the importance of disaggregating Hispanic national groups by gender to uncover social mechanisms within ethnic enclave settings for tailored supports in reducing risk of drinking and alcohol‐related harms.
Sodium content in plant and insect food resources consumed by chimpanzees (Pan troglodytes schweinfurthii) in Gombe National Park, Tanzania
Authors: Shimwa Axelle Kamanzi , Murray Carson M. , Nelson Rachel S. , Nockerts Rebecca S. , Power Michael L. , O'Malley Robert C. 
Published: June 2024

AbstractObjectivesMany nonhuman primate diets are dominated by plant foods, yet plant tissues are often poor sources of sodium—a necessary mineral for metabolism and health. Among primates, chimpanzees (Pan troglodytes), which are ripe fruit specialists, consume diverse animal, and plant resources. Insects have been proposed as a source of dietary sodium for chimpanzees, yet published data on sodium values for specific foods are limited. We assayed plants and insects commonly eaten by chimpanzees to assess their relative value as sodium sources.Materials and MethodsWe used atomic absorption spectroscopy to determine sodium content of key plant foods and insects consumed by chimpanzees of Gombe National Park, Tanzania. Dietary contributions of plant and insect foods were calculated using feeding observational data.ResultsOn a dry matter basis, mean sodium value of plant foods (n = 83 samples; mean = 86 ppm, SD = 92 ppm) was significantly lower than insects (n = 12; mean = 1549 ppm, SD = 807 ppm) (Wilcoxon rank sum test: W = 975, p < 0.001). All plant values were below the suggested sodium requirement (2000 ppm) for captive primates. While values of assayed insects were variable, sodium content of two commonly consumed insect prey for Gombe chimpanzees (Macrotermes soldiers and Dorylus ants) were four to five times greater than the highest plant values and likely meet requirements.DiscussionWe conclude that plant foods available to Gombe chimpanzees are generally poor sources of sodium while insects are important, perhaps critical, sources of sodium for this population.
A Strategy for Preparing Quantum Squeezed States Using Reinforcement Learning
Authors: Zhao Xiaolong , Zhao Yiming , Li Ming , Li Tingting , Liu Qian , Guo Shuai , Yi Xuexi 
Published: June 2024

AbstractA scheme leveraging reinforcement learning to engineer control fields for generating non‐classical states is proposed. It is exemplified by the application to prepare spin‐squeezed states for an open collective spin model where a linear control field is designed to govern the dynamics. The reinforcement learning agent determines the temporal sequence of control pulses, commencing from a coherent spin state in an environment characterized by dissipation and dephasing. Compared to the constant control scenario, this approach provides various control sequences maintaining collective spin squeezing and entanglement. It is observed that denser application of the control pulses enhances the performance of the outcomes. However, there is a minor enhancement in the performance by adding control actions. The proposed strategy demonstrates increased effectiveness for larger systems. Thermal excitations of the reservoir are detrimental to the control outcomes. Feasible experiments are suggested to implement this control proposal based on the comparison with the others. The extensions to continuous control problems and another quantum system are discussed. The replaceability of the reinforcement learning module is also emphasized. This research paves the way for its application in manipulating other quantum systems.
Alkene Isomerisation Catalysed by a Superbasic Sodium Amide
Authors: Tortajada Andreu , Righetti Gian Luca , McGinley Ana , Mu Manting , García‐Melchor Max , Hevia Eva 
Published: June 2024

AbstractTypically catalysed by transition metals, alkene isomerisation is a powerful methodology for preparation of internal olefins. In contrast, the use of more earth abundant main group reagents is limited to activated substrates, requiring high temperatures and excess stoichiometric amounts. Opening a new avenue for progressing this field, here we report applications of bulky sodium amide NaTMP (TMP=2,2,6,6‐tetramethylpiperidide) when partnered with tridentate Lewis donor PMDETA (N,N,N′,N′′,N’’‐pentamethyldiethylenetriamine) in catalytic alkene isomerisation of terminal olefins under mild reaction conditions. An array of distinct olefins could successfully be isomerised, including unactivated olefins, allylamines, and allylethers, showing the high activity of this partnership. In‐depth mechanistic insights provided by X‐ray crystallography, real‐time nuclear magnetic resonance (NMR) monitoring, and density functional theory (DFT) calculations have unveiled the crucial role of in situ‐generated TMP(H) in facilitating efficient isomerisation, and the choice of alkali‐metal. Additionally, theoretical studies shed light on the observed E/Z selectivity, particularly accounting for the selective formation of Z‐vinyl ethers. The versatility of our method is further demonstrated through the isomerisation of unactivated cycloalkenes, which undergo hydrogen isotope exchange to produce deuterated compounds.
Optical Relay Sensing of Cryptochiral Alcohols Displaying α‐, β‐, γ‐ and δ‐Stereocenters or Chirality by Virtue of Isotopic Substitution
Authors: Formen Jeffrey S. S. K. , Wolf Christian 
Published: June 2024

AbstractA reaction‐based optical relay sensing strategy that enables accurate determination of the concentration and enantiomeric ratio (er) of challenging chiral alcohols exhibiting stereocenters at the α‐, β‐, γ‐ or even δ‐position or hard‐to‐detect cryptochirality arising from H/D substitution is described. This unmatched application scope is achieved with a conceptually new sensing approach by which the alcohol moiety is replaced with an optimized achiral sulfonamide chromophore to minimize the distance between the covalently attached chiroptical reporter unit and the stereogenic center in the substrate. The result is a remarkably strong, red‐shifted CD induction that increases linearly with the sample er. The CD sensing part of the tandem assay is seamlessly coupled to a redox reaction with a quinone molecule to generate a characteristic UV response that is independent of the enantiopurity of the alcohol and thus allows determination of the total analyte concentration. The robustness and utility of the CD/UV relay are further verified by chromatography‐free asymmetric reaction analysis with small aliquots of crude product mixtures, paving the way toward high‐throughput chiral compound screening workflows which is a highly sought‐after goal in the pharmaceutical industry.
Implementation and Characterization of the Dice Lattice in the Electron Quantum Simulator
Authors: Tassi Camillo , Bercioux Dario 
Published: June 2024

AbstractMaterials featuring touching points, localized states, and flat bands are of great interest in condensed matter and artificial systems due to their implications in topology, quantum geometry, superconductivity, and interactions. In this theoretical study, the experimental realization of the dice lattice with adjustable parameters is proposed by arranging carbon monoxide molecules on a two‐dimensional (2D) electron system at a (111) copper surface. First, a theoretical framework is developed to obtain the spectral properties within a nearly free electron approximation and then compare them with tight‐binding calculations. This investigation reveals that the high mobility of Shockley state electrons enables an accurate theoretical description of the artificial lattice using a next‐nearest‐neighbor tight‐binding model, resulting in the emergence of a touching point, a quasi‐flat band, and localized lattice site behavior in the local density of states. Additionally, theoretical results for a long‐wavelength low‐energy model that accounts for next‐nearest‐neighbor hopping terms are presented. Furthermore, the model's behavior under an external magnetic field is theoretically examined by employing Peierl's substitution, a commonly used technique in theoretical physics to incorporate magnetic fields into lattice models. The theoretical findings suggest that, owing to the exceptional electron mobility, the highly degenerate eigenenergy associated with the Aharonov‐Bohm caging mechanism may not manifest in the proposed experiment.
Observation of Magnetic Field‐Induced and Partially Switchable Electric Polarization in Spin‐Chain FePbBiO4
Authors: Tiwari Ajay , Kakarla D. Chandrasekhar , Chen Wei‐Lin , Dhanasekhar C. , Hu Ya‐Jing , Lin Jiunn‐Yuan , Wang Chin‐Wei , Kuo Ting‐Wei , Pal Arkadeb , Chou Mitch Ming‐Chi , Yang Hung‐Duen 
Published: June 2024

AbstractThe linear magnetoelectric (ME) characteristics of a quasi‐1D spin‐chain compound, FePbBiO4, are reported. Two distinct antiferromagnetic (AFM) orders occurring at ≈23 K (TN1) and 12 K (TN2) are verified using magnetization, specific heat, and conspicuous dielectric (ε′) anomalies. A striking observation is that no pyrocurrent (Ipy) is detected in the absence of magnetic field (H); however, H‐induced ferroelectric polarization (P) at TN1 and P unexpectedly partially switches or reverses below TN2 as reproduced by applying positive and negative electric fields (E). The resulting magnetic field and temperature (H‐T) phase diagram illustrates T‐dependent H‐induced spin reorientation and electric P. The interaction between T, H, spin dynamics, and lattice structures is pivotal and is qualitatively discussed and proposed as an explanation for the observed ME nature.