bluuebunny/crossref_metadata_2025_split huggingface dataset:
2‐Dimensional Magnesium Oxide/Polyaniline Nanocomposite Modified Glassy Carbon Electrode for Electrochemical Detection of Dopamine and 4‐Nitrophenol
Authors: Kumar Ashish , Sharma Surbhi , Tripathi Chandra Shekhar Pati , Guin Debanjan 
Published: March 2024

AbstractIn this study, we have developed an electrochemical sensor based on a polyaniline (PANI) integrated magnesium oxide nanosheet (MgO‐NSs) modified glassy carbon electrode (GCE) for the rapid electrochemical detection of dopamine (DA) and 4‐nitrophenol (4‐NP). 2‐D MgO‐NSs were synthesized using a straightforward one‐step sugar‐blowing method, and PANI was synthesized by the oxidative polymerization of aniline. The nanocomposite (PANI‐MgO) was prepared by simple mechanical blending of MgO‐NSs with PANI. The as‐synthesized nanocomposites were characterized using several analytical techniques to determine their morphological and microstructural properties. The as‐synthesized PANI, MgO, and PANI‐MgO were further electrochemically characterized using Cyclic Voltammetry (CV) and Electrochemical Impedance Spectroscopy (EIS) techniques. The fabricated PANI‐MgO/GCE showed a considerable increase in the redox peak currents of DA and 4‐NP, suggesting that PANI‐MgO/GCE substantially enhances the electrocatalytic oxidation of DA and the reduction of 4‐NP. The analytical performance of PANI‐MgO/GCE for the detection of DA and 4‐NP was investigated using Differential Pulse Voltammetry (DPV). The developed sensor was successfully applied for the detection of DA and 4‐NP in real samples with good recovery results.
Enhancing Performance of Arsenic Adsorption through Ce‐Modified Activated Carbon Derived from Bamboo Shoot Shells
Authors: Zhao Han , Jiao Xuanru , Wang Mingjie , He Linhan , Yao Yao , Liu Zhijia , Chen Yao 
Published: March 2024

AbstractArsenic is a major pollutant in aquatic environments. Due to its high toxicity and poor biodegradability, arsenic has emerged as a significant challenge in the realm of water pollution management. In this study, bamboo shoot shells activated carbon modified with cerium nitrate hexahydrate (Ce‐BAC) is prepared, and its adsorption properties for As (V) and As (III) are investigated. The results indicate that the adsorption capacity of bamboo shoot shells activated carbon (BAC) for As (V) and As (III) is measured to be 3.718 mg/g and 3.527 mg/g, respectively, under the conditions of an activation temperature of 900 °C, activation time of 75 minutes, and pH=7. After modifying it with cerium nitrate hexahydrate, the greatest adsorption capacity of Ce‐BAC for As (V) increases to 16.5 mg/g, and for As (III) to 21.47 mg/g. Moreover, the adsorption process of As (V) and As (III) by BAC and Ce‐BAC in this study exhibits conformity to pseudo‐second order kinetics. These findings indicate that the adsorption performance of As (V) and As (III) by Ce‐BAC has been greatly improved. Therefore, Ce‐BAC exhibits a vast potential in adsorbing both As (V) and As (III), showcasing promising prospects.
SSK1‐Loaded Neurotransmitter‐Derived Nanoparticles for Alzheimer's Disease Therapy via Clearance of Senescent Cells
Authors: Ji Wenbo , Zhou Honglei , Liang Wendanqi , Zhang Weicong , Gong Baofeng , Yin Tong , Chu Jianjian , Zhuang Jianhua , Zhang Jian , Luo Yi , Liu Yan , Gao Jie , Yin You 
Published: March 2024

AbstractAge is a significant contributor to the onset of AD. Senolysis has been recently demonstrated to ameliorate aging‐associated diseases that showing a great potential in AD therapy. However, due to the presence of BBB, the anti‐AD activity of senolytics are significantly diminished. SSK1 is a prodrug that can be activated by β‐gal, a lysosomal enzyme commonly upregulated in senescent cells, and thus selectively eliminates senescent cells. Furthermore, the level of β‐gal is significantly correlated with conventional AD genes from clinical sequencing data. SSK1‐loaded neurotransmitter ‐derived lipid nanoparticles are herein developed (SSK1‐NPs) that revealing good BBB penetration and bioavailability of in the body. At the brain lesion, SSK1‐NP treatment significantly reduces the expression of genes associated with senescence, induced senescent cells elimination, decreased amyloid‐beta accumulation, and eventually improve cognitive function of aged AD mice. SSK1‐NPs, a novel nanomedicine displaying potent anti‐AD activity and excellent safety profile, provides a promising strategy for AD therapy.
Electrochemical Nitrate‐to‐Ammonia Conversion Enabled by Carbon‐Decoration of Ni─GaOOH Synthesized via Plasma‐Assisted CO2 Reduction
Authors: Babikir Abd H. , Mao Xin , Du Aijun , Riches James D. , Ostrikov Kostya (Ken) , O'Mullane Anthony P. 
Published: March 2024

AbstractThe release of nitrates into the environment leads to contaminated soil and water that poses a health risk to humans and animals. Due to the transition to renewable energy‐based technologies, an electrochemical approach is an emerging option that can selectively produce valuable ammonia from nitrate sources. However, traditional metal‐based electrocatalysts often suffer from low nitrate adsorption that reduces NH3 production rates. Here, a Ni‐GaOOH‐C/Ga electrocatalyst for electrochemical nitrate conversion into NH3 is synthesized via a low energy atmospheric‐pressure plasma process that reduces CO2 into highly dispersed activated carbon on dispersed Ni─GaOOH particles produced from a liquid metal Ga─Ni alloy precursor. Nitrate conversion rates of up to 26.3 µg h−1 mg−1cat are achieved with good stability of up to 20 h. Critically, the presence of carbon centers is central to improved performance where both Ni─C and NiO─C interfaces act as NO3− adsorption and reduction centers during the reaction. Density functional theory (DFT) calculations indicate that the NiO─C and Ni─C reaction sites reduce the Gibbs free energy required for NO3− reduction to NH3 compared to NiO and Ni. Importantly, catalysts without carbon centers do not produce NH3, emphasizing the unique effects of incorporating carbon nanoparticles into the electrocatalyst.
Hierarchically Interconnected 3D Catalyst Structure of Porous Multi‐Metal Oxide Nanofibers for High‐Performance Li–O2 Batteries
Authors: Lee Keon Beom , Jo Seunghwan , Zhang Liting , Kim Min‐Cheol , Sohn Jung Inn 
Published: March 2024

AbstractNon‐aqueous lithium‐oxygen batteries (LOBs) have emerged as a promising candidate due to their high theoretical energy density and eco‐friendly cathode reaction materials. However, LOBs still suffer from high overpotential and poor cycling stability resulting from difficulties in the decomposition of discharge reaction Li2O2 products. Here, a 3D open network catalyst structure is proposed based on highly‐thin and porous multi‐metal oxide nanofibers (MMONFs) developed by a facile electrospinning approach coupled with a heat treatment process. The developed hierarchically interconnected 3D porous MMONFs catalyst structure with high specific surface area and porosity shows the enhanced electrochemical reaction kinetics associated with Li2O2 formation and decomposition on the cathode surface during the charge and discharge processes. The uniquely assembled cathode materials with MMONFs exhibit excellent electrochemical performance with energy efficiency of 82% at a current density of 50 mA g−1 and a long‐term cycling stability over 100 cycles at 200 mA g−1 with a cut‐off capacity of 500 mAh g−1. Moreover, the optimized cathode materials exhibit a remarkable energy density of 1013 Wh kg−1 at the 100th discharge and charge cycle, which is nearly four times higher than that of C/NMC721, which has the highest energy density among the cathode materials currently used in electric vehicles.
A review of the application of virtual and augmented reality in physical and occupational therapy
Authors: Luckykumar Dwarkadas Agrawal , Talasila Viswanath , Challa Rama Krishna , K G Srinivasa 
Published: March 2024

AbstractThis paper includes a research review in five bibliographic databases on using the application of virtual reality (VR) and augmented reality (AR) in physical and occupational therapy (POT). This literature review addresses five research questions and two sub‐research questions. A total of 36 relevant studies were selected in the review based on the defined keywords and inclusion‐exclusion criteria. The primary motivation for using the application of VR and AR in POT is that it is accurate, involves higher patient participation, and requires less therapy recovery time. The standard software tool used is the Unity 3D game engine, and the common device used is the Oculus Rift HMD. Various applications of VR and AR consist of different VR environments and AR contents used in POT. Post‐stroke rehabilitation, rehabilitation exercises, pain management, mental and behavioral disorders, and autism in children are the main aspects addressed through the VR and AR environments. Literature review indicates that questionnaires, interviews, and observation are the primary metrics for measuring therapy's effectiveness. The study's findings show positive results such as reduced treatment time, nervousness, pain, hospitalization period, making therapy enjoyable and encouraging, improved quality of life, and focus on using the application of VR and AR in POT. This review will be relevant to researchers, VR and AR application designers, doctors, and patients using the application of VR and AR in POT. Further research addressing multiple participants with clinical trials, adding new VR environments and AR content in VR and AR applications, including follow‐up sessions, and increasing training sessions while using the application of VR and AR in POT are recommended.
Comparative Study of the Performances of Octenyl Succinic Anhydride‐Modified Agriophyllum squarrosum and Quinoa Starches to Stabilize Pickering Emulsions
Authors: Xiao Liuyang , Zhang Jingru , Huang Yumin , Yang Xiaofan , Wei Zhaojun , Han Lihong 
Published: March 2024

AbstractVery small granule starch is a good source for effective Pickering emulsion stabilizers. In this study, native Agriophyllum squarrosum (A. squarrosum) starch (N‐AS) and native quinoa starch (N‐QS) are modified by octenyl succinic anhydride (OSA), and the physicochemical as well as the emulsifying characteristics of two modified starches are evaluated. Fourier transform infrared spectroscopy (FTIR) shows that the esterification reactions between OSA and the two starches are successful, and the substitution effect of OSA‐modified A. squarrosum starch (OSA‐AS) is better than that of OSA‐modified quinoa starch (OSA‐QS). X‐ray diffraction (XRD) analysis shows that OSA modification does not alter the crystal type of the starch particles. OSA modification increases the particle size and hydrophobicity of both starches, and the particles of OSA‐AS are smaller than that of OSA‐QS, which corresponded to the fact that N‐AS possesses a smaller particle size compared to native N‐QS. OSA‐modified starches are arranged at the interface of oil–water to stabilize the emulsion. The OSA‐AS displays better performance of stabilizing emulsion than OSA‐QS. The Pickering emulsions formed by all OSA‐modified starch samples are mainly elastic gel‐like emulsions. In summary, OSA‐AS is more suitable for Pickering emulsion stabilizer than OSA‐QS.
Schools and Families of Early Learners Collaborating to Support At Home Read Alouds
Authors: Cobb Charlene , Blachowicz Camille L. Z. 
Published: March 2024

AbstractQuestion asked in a preschool/primary teacher PD session on read‐alouds: “After our Family Night presentation on home read‐alouds, we got so many questions from families and caretakers. How can we give follow‐up support?” This teaching guide suggests three simple ideas for supporting parent home‐read‐alouds with preschool, kindergarten, and first‐grade students.
Global trends in incidence and prevalence of achalasia, 1925–2021: A systematic review and meta‐analysis
Authors: Lee Kwanjoo , Hong Sung Pyo , Yoo In Kyung , Yeniova Abdullah Özgür , Hahn Jong Woo , Kim Min Seo , Yoon Soo‐Young , Rahmati Masoud , Lee Jun Hyuk , Lee Myeongcheol , Cho Wonyoung , Yon Dong Keon 
Published: March 2024

AbstractBackgroundAchalasia poses a significant socioeconomic burden, yet global trends remain undocumented. This study aims to describe the worldwide trends in the incidence and prevalence of achalasia from 1925 to 2021 and explore their correlation with various factors through a comprehensive systematic review.MethodsWe searched the PubMed/MEDLINE, Embase, and Cochrane databases from inception to 30 June 2023, to identify studies reporting the incidence or prevalence of achalasia in the general population. This study utilized pooled estimates with 95% confidence intervals (CI) to estimate the incidence and prevalence of achalasia, and conducted various subgroup analyses.ResultsA total of 26 eligible studies covering approximately 269 million participants and 20,873 patients from 14 countries across five continents were included. Global pooled incidence and prevalence of achalasia were estimated to be 0.78 cases per 100,000 person‐years (95% CI, 0.64–0.93; number of studies, 26; sample population, 269,315,171) and 10.82 cases per 100,000 person‐years (95% CI, 8.15–13.48; number of studies, 14; sample population, 192,176,076), respectively. The incidence of achalasia was higher in Oceania (than Asia and Africa) and in adults (than children) after the introduction of the Chicago classification. Prevalence followed a similar pattern. The pooled incidence of achalasia showed an overall upward trend from 1925 to 2021 (1925–1999; 0.40 [0.32–0.49] vs. 2018–2021; 1.64 [1.33–1.95] cases per 100,000 person‐years).ConclusionsThe incidence and prevalence of achalasia have notably increased, particularly with advancements in diagnosis, and show significant variation worldwide, despite the large heterogeneity within the sample population. Further studies are necessary to accurately assess the global incidence and prevalence of achalasia.
Hydro‐pedo‐transfer‐functions expressing drought and memory effects on pine tree growth
Authors: Wessolek Gerd , Riek Winfried , Bohne Klaus 
Published: March 2024

AbstractOver the last 30 years, the impact of climate change in Berlin, Germany, has manifested in the form of reduced summer rainfall, elevated temperatures, and a notable rise in the frequency of days with temperatures surpassing 30°C. All of them are leading to a decreasing water supply and increasing risk of drought. Various field, laboratory, and numerical simulation studies have been done for deriving information on long‐term potential and actual evapotranspiration, water stress during the vegetation period (April–September), and tree ring growth of various pine tree stands in Berlin. Data analysis highlights periodical climate patterns and complex interactions between drought, water supply, and plant growth. Annual tree ring growth is not only related to the actual weather conditions but also to the past climate years. With decreasing water supply, this kind of drought memory effect increases up to 5 years into the past. For Berlin's climate, it is noteworthy that late summer, particularly the water stress in August, represents the most sensitive indicator for tree ring growth.For regionalization purposes, long‐term numerical simulations were done to derive hydro‐pedo‐transfer‐functions (HPTFs) predicting the water stress coefficient of the growing season (Eact‐s/Epot‐s). They only need easily available information such as soil texture, climate water balance, and groundwater depth. Two HPTFs were successfully tested and can be easily applied by geo‐information systems. However, for other climate regions and tree species, HPTFs need to be adapted.
A discrete‐event simulation model for assessing operating room efficiency of thoracic, gastrointestinal, and orthopedic surgeries
Authors: Pu Zhongchan , Wu Shuqing , Han Yi 
Published: March 2024

AbstractBackgroundIn hospital management, pinpointing steps that most enhance operating room (OR) throughput is challenging. While prior literature has utilized discrete event simulation (DES) to study specific strategies such as scheduling and resource allocation, our study examines an earlier planning phase, assessing all workflow stages to determine the most impactful steps for subsequent strategy development.MethodsDES models real‐world systems by simulating sequential events. We constructed a DES model for thoracic, gastrointestinal, and orthopedic surgeries summarized from a tertiary Chinese hospital. The model covers preoperative preparations, OR occupation, and OR preparation. Parameters were sourced from patient data and staff experience. Model outcome is OR throughput. Post‐validation, scenario analyses were conducted for each department, including: (1) improving preoperative patient preparation time; (2) increasing PACU beds; (3) improving OR preparation time; (4) use of new equipment to reduce the operative time of a selected surgery type; three levels of improvement (slight, moderate, large) were investigated.ResultsThe first three improvement scenarios resulted in a 1%–5% increase in OR throughput across the three departments. Large reductions in operative time of the selected surgery types led to approximately 12%, 33%, and 38% increases in gastrointestinal, thoracic, and orthopedic surgery throughput, respectively. Moderate reductions resulted in 6%–17% increases in throughput and slight reductions of 1%–7%.ConclusionsThe model could reliably reflect OR workflows of the three departments. Among the options investigated, model simulations suggest that improving OR preparation time and operative time are the most effective.
How to build a black hole out of instantons
Authors: Mouland Rishi 
Published: March 2024

Abstract
An often fruitful route to study quantum gravity is the determination and study of quantum mechanical models — that is, models with finite degrees of freedom — that capture the dynamics of a black hole’s microstates. An example of such a model is the superconformal quantum mechanics of Yang-Mills instantons, which has a proposed gravitational dual description as M-theory on a background of the form X7 × S4. This model arises in the strongly-coupled limit of the BFSS matrix model with additional fundamental hypermultiplets, offering a route towards useful numerical simulation. We construct a six-parameter black hole solution in this theory, which is generically non-supersymmetric and non-extremal, and is shown to arise in an “ultra-spinning” limit of the recently-found six-parameter AdS7 solution. We compute its thermodynamic properties, and show that in the supersymmetric limit the entropy and on-shell action match precisely the expected results as computed from the superconformal index of the quantum mechanics, to leading order in the supergravity regime. The low-lying spectrum thus provides access to the dynamics of near-extremal black holes, whose spectra are expected to receive strong quantum corrections.
Second leptogenesis: Unraveling the baryon-lepton asymmetry discrepancy
Authors: ChoeJo YeolLin , Enomoto Kazuki , Kim Yechan , Lee Hye-Sung 
Published: March 2024

Abstract
We propose a novel scenario to explain the matter-antimatter asymmetry by twofold leptogenesis, wherein heavy Majorana neutrinos exhibit temperature-dependent masses and engage in CP-violating decays. This scenario envisages two distinct phases of leptogenesis: one occurring above the electroweak scale and the other below it. The sphaleron process converts the first lepton asymmetry to baryon asymmetry, but not the second one due to its decoupling. This mechanism potentially explains the significant discrepancy between baryon and lepton asymmetries, as suggested by recent observations of Helium-4. Furthermore, our model implies that the present masses of Majorana neutrinos are lighter than the electroweak scale, offering a tangible avenue for experimental verification in various terrestrial settings.
Holographic timelike superconductor
Authors: Krikun Alexander , Elinos Uriel 
Published: March 2024

Abstract
We explore the state of matter characterized by the charged timelike vector order parameter. We employ holographic duality in order to construct such a state and study its thermoelectric transport, fermionic spectral function and the character of the Meissner effect. We uncover the unusual features of this “timelike superconductor”: the absence of the gap in the fermionic spectrum and co-existence of Drude peak and supercurrent in the AC transport, which are reminiscent to those of time-reversal-odd and gapless superconductors, correspondingly. We show that this state is dynamically stable and thermodynamically at least metastable. Along the way we develop the holographic model of the charged vector field, which acquires mass due to a variant of the Stueckelberg mechanism with the adjoint Higgs field.
Precise estimate of charged Higgsino/Wino decay rate
Authors: Ibe Masahiro , Nakayama Yuhei , Shirai Satoshi 
Published: March 2024

Abstract
Higgsinos and Winos in the supersymmetric Standard Model are prime candidates for dark matter due to their weakly interacting nature. The mass differences between their charged components (charginos) and neutral components (neutralinos) become degenerate when other superparticles are heavy, resulting in long-lived charginos. In the case of the Winos, the mass difference is approximately 160 MeV across a wide range of the parameter space. Consequently, the chargino decays into the lightest neutralino, emitting a single charged pion. For Higgsinos, however, mass differences ranging from O(0.1) GeV to O(1) GeV are possible, leading to a variety of decay channels. In this paper, we extend our previous analysis of Wino decay to the chargino with a larger mass difference. We emphasize characterizing its decay signatures through leptonic and hadronic modes. By utilizing the latest experimental data, we perform a comprehensive study of the decay rate calculations incorporating these hadronic modes to determine the impact on the predicted chargino lifetime. Additionally, we conduct next-to-leading order (NLO) calculations for the leptonic decay modes. Our NLO results can be applied to the case of more general fermionic electroweak multiplets, e.g., quintuplet dark matter.
A smooth horizon without a smooth horizon
Authors: Burman Vaibhav , Das Suchetan , Krishnan Chethan 
Published: March 2024

Abstract
Recent observations on type III algebras in AdS/CFT raise the possibility that smoothness of the black hole horizon is an emergent feature of the large-N limit. In this paper, we present a bulk model for the finite-N mechanism underlying this transition. We quantize a free scalar field on a BTZ black hole with a Planckian stretched horizon placed as a Dirichlet boundary for the field. This is a tractable model for the stretched horizon that does not ignore the angular directions, and it defines a black hole vacuum which has similarities to (but is distinct from) the Boulware state. Using analytic approximations for the normal modes, we first improve upon ’t Hooft’s brick wall calculation: we are able to match both the entropy and the temperature, exactly. Emboldened by this, we compute the boundary Wightman function of the scalar field in a typical pure state built on our stretched horizon vacuum, at an energy sliver at the mass of the black hole. A key result is that despite the manifest lack of smoothness, this single-sided pure state calculation yields precisely the Hartle-Hawking thermal correlator associated to the smooth horizon, in the small-GN limit. At finite GN, there are variance corrections that are suppressed as $$ \mathcal{O}\left({e}^{-{S}_{BH}/2}\right) $$
O

e

−

S
BH

/
2

. They become important at late times and resolve Maldacena’s information paradox. Highly excited typical pure states on the stretched horizon vacuum are therefore models for black hole microstates, while the smooth horizon describes the thermal state. We note that heavy excited states on the stretched horizon are better defined than the vacuum itself. These results suggest that complementarity in the bulk EFT could arise from a UV complete bulk description in which the black hole interior is not manifest.