bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sulfur‐Induced Low Crystallization of Ultrathin Pd Nanosheet Arrays for Sulfur Ion Degradation‐Assisted Energy‐Efficient H2 Production
Authors: Wang Wenxin , Mao Qiqi , Deng Kai , Yu Hongjie , Wang Ziqiang , Xu You , Li Xiaonian , Wang Liang , Wang Hongjing 
Published: March 2023

AbstractThe utilization of thermodynamically favorable sulfur oxidation reaction (SOR) as an alternative to sluggish oxygen evolution reaction is a promising technology for low‐energy H2 production while degrading the sulfur source from wastewater. Herein, amorphous/crystalline S‐doped Pd nanosheet arrays on nickel foam (a/c S‐Pd NSA/NF) is prepared by S‐doping crystalline Pd NSA/NF. Owing to the ultrathin amorphous nanosheet structure and the incorporation of S atoms, the a/c S‐Pd NSA/NF provides a large number of active sitesand the optimized electronic structure, while exhibiting outstanding electrocatalytic activity in hydrogen evolution reaction (HER) and SOR. Therefore, the coupling system consisting of SOR‐assisted HER can reach a current density of 100 mA cm−2 at 0.642 V lower than conventional electrolytic water by 1.257 V, greatly reducing energy consumption. In addition, a/c S‐Pd NSA/NF can generate H2 over a long period of time while degrading S2− in water to the value‐added sulfur powder, thus further reducing the cost of H2 production. This work proposes an attractive strategy for the construction of an advanced electrocatalyst for H2 production and utilization of toxic sulfide wastewater by combining S‐doping induced partial amorphization and ultrathin metal nanosheet arrays.
Hydroxyapatite‐Derived Heterogeneous Ru‐Ru2P Electrocatalyst and Environmentally‐Friendly Membrane Electrode toward Efficient Alkaline Electrolyzer
Authors: Yu Qingquan , Yu Wanqiang , Wang Yujie , He Jietong , Chen Yuke , Yuan Haifeng , Liu Ruiying , Wang Junjian , Liu Shunyao , Yu Jiayuan , Liu Hong , Zhou Weijia 
Published: March 2023

AbstractAlkaline membrane water electrolysis is a promising production technology, and advanced electrocatalyst and membrane electrode design have always been the core technology. Herein, an ion‐exchange method and an environmentally friendly in situ green phosphating strategy are successively employed to fabricate Ru‐Ru2P heterogeneous nanoparticles by using hydroxyapatite (HAP) as a phosphorus source, which is an exceptionally active electrocatalyst for hydrogen evolution reaction (HER). Density functional theory calculation results reveal that strong electronic redistribution occurs at the heterointerface of Ru‐Ru2P, which modulates the electronic structure to achieve an optimized hydrogen adsorption strength. The obtained Ru‐Ru2P possesses excellent HER performance (24 mV at 10 mA cm−2) and robust stability (1000 mA cm−2 for 120 h) in alkaline media. Furthermore, an environmentally friendly membrane electrode with a sandwich structure is assembled by HAP nanowires as an alkaline membrane, Ru‐Ru2P as a cathodic catalyst, and NiFe‐LDH as an anodic catalyst, respectively. The voltage of (−) Ru‐Ru2P || NiFe‐LDH/CNTs (+) (1.53 V at 10 mA cm−2) is lower than that of (−) 20 wt% Pt/C || RuO2 (+) (1.60 V at 10 mA cm−2) for overall water splitting. Overall, the studies not only design an efficient catalyst but also provide a new route to achieve a high‐stability electrolyzer for industrial H2 production.
A Self‐Disguised Nanospy for Improving Drug Delivery Efficiency via Decreasing Drug Protonation
Authors: Zhang Kuo , Wang Zi‐Qi , Liu Zhongqing , Qu Tianrui , Zhang Zhishuai , Zeng Fanshu , Song Hongjian , Shi Qing , Kang Zhijian , Chen Bogong , Dai Peng , Guo Pengyu , Tong Zhichao , Xu Wanhai 
Published: March 2023

AbstractNanoscale drug carriers play a crucial role in reducing side effects of chemotherapy drugs. However, the mononuclear phagocyte system (MPS) and the drug protonation after nanoparticles (NPs) burst release still limit the drug delivery efficiency. In this work, a self‐disguised Nanospy is designed to overcome this problem. The Nanospy is composed of: i) poly (lactic‐co‐glycolic acid)‐polyethylene glycol (PLGA‐PEG) loading doxorubicin is the core structure of the Nanospy. ii) CD47 mimic peptides (CD47p) is linked to NPs which conveyed the “don't eat me” signal. iii) 4‐(2‐aminoethyl) benzenesulfonamide (AEBS) as the inhibitor of Carbonic anhydrase IX (CAIX) linked to NPs. Briefly, when the Nanospy circulates in the bloodstream, CD47p binds to the regulatory protein α (SIRPα) on the surface of macrophages, which causes the Nanospy escapes from phagocytosis. Subsequently, the Nanospy enriches in tumor and the AEBS reverses the acidic microenvironment of tumor. Due to above characteristics, the Nanospy reduces liver macrophage phagocytosis by 25% and increases tumor in situ DOX concentration by 56% compared to PLGA@DOX treatment. In addition, the Nanospy effectively inhibits tumor growth with a 63% volume reduction. This work presents a unique design to evade the capture of MPS and overcomes the influence of acidic tumor microenvironment (TME) on weakly alkaline drugs.
An Ion‐Engineering Strategy to Design Hollow FeCo/CoFe2O4 Microspheres for High‐Performance Microwave Absorption
Authors: Liu Min , Zhao Biao , Pei Ke , Qian Yuetong , Yang Chendi , Liu Yihao , Cao Hui , Zhang Jincang , Che Renchao 
Published: March 2023

AbstractAlthough assembled hollow architectures have received considerable attention as lightweight functional materials, their uncontrollable self‐aggregation and tedious synthetic methods hinder precise construction and modulation. Therefore, this study proposes a bi‐ion synergistic regulation strategy to design assembled hollow‐shaped cobalt spinel oxide microspheres. Dominated by the coordination‐etching effects of F− and the hydrolysis‐complex contributions of NH4+, the unique construction is formed attributed to the dynamic cycles between metal complexes and precipitates. Meanwhile, their basic structures are perfectly retained after reduction treatment, enabling FeCo/CoFe2O4 bimagnetic system to be obtained. Subsequently, in‐depth analyses are conducted. Investigations reveal that multiscale magnetic coupling networks and enriched air‐material heterointerfaces contribute to the remarkable magnetic‐dielectric behavior, supported by the advanced off‐axis electron holography technique. Consequently, the obtained FeCo/CoFe2O4 composites exhibit excellent microwave absorption performances with minimal reflection losses (RLmin) as high as −51.6 dB, an effective absorption bandwidth (EAB) of 4.7 GHz, and a matched thickness of 1.4 mm. Thus, this work provides an informative guide for rationally assembling building blocks into hollow architectures as advanced microwave absorbers through bi‐ion and even multi‐ion synergistic engineering mechanisms.
Simulation on seismic performance of the post‐fire precast concrete column with grouted sleeve connections
Authors: Liu Lianglin , Xiao Jianzhuang 
Published: March 2023

AbstractA simulation method with Abaqus software was adopted to analyze the seismic performance of post‐fire precast concrete column with grouted sleeve connections. First, the simulation was exerted on the column at ambient temperature and the grouted sleeve connection was simplified to be a single steel rebar. It is found that the yield load, lateral peak load and ductility coefficient from the simulation result are about 0.89, 0.85, and 1.02 times of those from the test respectively, which shows that the built finite element model is fit for the simulation analysis of precast concrete column and the simplified method of grouted sleeve connection is feasible. Then, a sequential coupling method was used to simulate the seismic performance of cast‐in‐place column after exposure to elevated temperatures. It is found that the highest temperature, load and ductility coefficient from simulation agree well with those of test, as the maximum difference is only 5.0%. Furthermore, simulations of post‐fire precast concrete columns with grouted sleeve connections were based on these practices and the findings as follows: as the elevating time becomes longer, the maximum difference of the highest temperature between the simulation and the theory decreases from 6.7% to 0.6%; compared to the condition at ambient temperature, the lateral peak load decreases linearly along with the elevating time ascending. Finally, a new expression was proposed to calculate the shear bearing capacity of post‐fire precast concrete column with grouted sleeve connections, which will be beneficial to the fire safety design of precast concrete structures.
Garden soil bacteria transiently colonize gardeners' skin after direct soil contact
Authors: Mhuireach Gwynne Á. , Van Den Wymelenberg Kevin G. , Langellotto Gail A. 
Published: March 2023

AbstractUrban soils provide a number of ecosystem services and health benefits, yet they are understudied compared with agricultural and wildland soils. Healthy soils host diverse microbiota, exposure to which may be critical for immune development and protection against chronic disorders, such as allergies and asthma. Gardening represents a key pathway for microbiota exposure, yet little is known about microbial community structure of urban garden soils, degree of soil‐to‐skin transfer during gardening, nor ability of soil microbes to persist on human skin. To explore these questions, we recruited 40 volunteers to collect soil samples from their gardens and a series of skin swab samples before and after gardening. Soil and skin bacterial communities were characterized using amplicon (16S) sequencing. Soil samples were also analyzed for chemical/physical characteristics. Soil bacterial communities had more alpha diversity and less beta diversity than skin communities, which varied greatly across individuals and within the same individual across time. The number of bacterial taxa shared between skin and garden soil increased immediately after gardening for most study participants. However, the imprint of garden soil largely disappeared within 12 hours. Despite this lack of persistence, a daily gardening routine with repeated and extended contact with soil likely reinoculates the skin such that soil microbes are often present, holding potential to impact health.
Modulation of corticospinal excitability related to the forearm muscle during robot-assisted stepping in humans
Authors: Kitamura Taku , Masugi Yohei , Yamamoto Shin-ichiroh , Ogata Toru , Kawashima Noritaka , Nakazawa Kimitaka 
Published: March 2023

AbstractIn recent years, the neural control mechanisms of the arms and legs during human bipedal walking have been clarified. Rhythmic leg stepping leads to suppression of monosynaptic reflex excitability in forearm muscles. However, it is unknown whether and how corticospinal excitability of the forearm muscle is modulated during leg stepping. The purpose of the present study was to investigate the excitability of the corticospinal tract in the forearm muscle during passive and voluntary stepping. To compare the neural effects on corticospinal excitability to those on monosynaptic reflex excitability, the present study also assessed the excitability of the H-reflex in the forearm muscle during both types of stepping. A robotic gait orthosis was used to produce leg stepping movements similar to those of normal walking. Motor evoked potentials (MEPs) and H-reflexes were evoked in the flexor carpi radialis (FCR) muscle during passive and voluntary stepping. The results showed that FCR MEP amplitudes were significantly enhanced during the mid-stance and terminal-swing phases of voluntary stepping, while there was no significant difference between the phases during passive stepping. Conversely, the FCR H-reflex was suppressed during both voluntary and passive stepping, compared to the standing condition. The present results demonstrated that voluntary commands to leg muscles, combined with somatosensory inputs, may facilitate corticospinal excitability in the forearm muscle, and that somatosensory inputs during walking play a major role in monosynaptic reflex suppression in forearm muscle.
Laryngeal sensory neuropathy caused by COVID-19: findings using laryngeal electromyography
Authors: Krasnodębska Paulina , Szkiełkowska Agata , Miaśkiewicz Beata 
Published: March 2023

Abstract
Purpose
Laryngeal sensory neuropathy (LSN) is caused by a disorder of the superior laryngeal nerve or the recurrent laryngeal nerve. A diagnosis of LSN should include laryngeal electromyography (LEMG) and laryngovideostroboscopy (LVS). The aim of this study was to characterize the physical and subjective symptoms of neuropathy in patients diagnosed with LSN following COVID-19.

Material and methods
Since the beginning of the COVID-19 pandemic, 6 patients who had recovered from the disease presented to us with LSN symptoms. All patients underwent laryngological and phoniatric examination, objective and subjective voice assessment, and LEMG.

Results
The most common LSN symptom reported by patients was periodic hoarseness of varying severity. Other common symptoms were the sensation of a foreign body in the throat and voice fatigue. Endoscopy often showed functional abnormalities. The LSN patients could be characterized by LEMG recordings, and all showed abnormal activity of the cricothyroid (CT) muscle. The degree of EMG changes in the CT correlated moderately with the severity of dysphonia.

Conclusions
Sensory neuropathy of the larynx may be a long-lasting complication of SARS-COV-2 infection. The severity of EMG neuropathic changes in the CT muscle broadly corresponds to the severity of dysphonia.
Context-dependent alarm responses in wild vervet monkeys
Authors: Deshpande Adwait , van de Waal Erica , Zuberbühler Klaus 
Published: March 2023

AbstractThe alarm calls of nonhuman primates are occasionally cited as functionally equivalent to lexical word meaning in human language. Recently, however, it has become increasingly unlikely that one-to-one relations between alarm call structures and predator categories are the default, mainly because many call types are produced in multiple contexts, requiring more complex notions of meaning. For example, male vervet monkeys produce the same alarm calls during encounters with terrestrial predators and neighbouring groups, suggesting that recipients require additional information to attribute meaning to the calls. We empirically tested the hypothesis that vervet monkeys take contextual information into account when responding to each other's alarm calls. In playback experiments, we exposed subjects to recordings of male alarm barks during actual intergroup encounters (predator unlikely) or when there was no intergroup encounter (predator likely). Subjects responded more strongly in the no intergroup encounter situations, typically associated with discovering a hiding predator, measured in terms of startle responses, vigilance behaviour and gazing towards the presumed caller. We discuss the significance of using contextual information for meaning attribution in nonhuman primate communication.
A survey of automated data augmentation algorithms for deep learning-based image classification tasks
Authors: Yang Zihan , Sinnott Richard O. , Bailey James , Ke Qiuhong 
Published: March 2023

AbstractIn recent years, one of the most popular techniques in the computer vision community has been the deep learning technique. As a data-driven technique, deep model requires enormous amounts of accurately labelled training data, which is often inaccessible in many real-world applications. A data-space solution is Data Augmentation (DA), that can artificially generate new images out of original samples. Image augmentation strategies can vary by dataset, as different data types might require different augmentations to facilitate model training. However, the design of DA policies has been largely decided by the human experts with domain knowledge, which is considered to be highly subjective and error-prone. To mitigate such problem, a novel direction is to automatically learn the image augmentation policies from the given dataset using Automated Data Augmentation (AutoDA) techniques. The goal of AutoDA models is to find the optimal DA policies that can maximize the model performance gains. This survey discusses the underlying reasons of the emergence of AutoDA technology from the perspective of image classification. We identify three key components of a standard AutoDA model: a search space, a search algorithm and an evaluation function. Based on their architecture, we provide a systematic taxonomy of existing image AutoDA approaches. This paper presents the major works in AutoDA field, discussing their pros and cons, and proposing several potential directions for future improvements.
What types of information do pharmacists include in comprehensive medication management review reports? A qualitative content analysis
Authors: Al-Diery Tarik , Freeman Hollie , Page Amy Theresa , Cross Amanda J , Hawthorne Deborah , Lee Kenneth 
Published: March 2023

Abstract
Background
Comprehensive medication management reviews are an established intervention to identify medication-related problems, such as the prescribing of potentially inappropriate medications, and under- and over-prescribing. However, the types of information included in written reports of comprehensive medication management reviews, beyond types of medication-related problems, are unknown.

Aim
This study aimed to explore the types of information Australian pharmacists include in their written reports following comprehensive medication management reviews.

Method
Australian consultant pharmacists were invited to upload their 10 most recent written reports of their domiciliary-based comprehensive medication management reviews. A random selection of the reports, stratified by each pharmacist, were included for qualitative content analysis.

Results
Seventy-two de-identified reports from eight consultant pharmacists located in five of the eight Australian States and Territories were included for analysis. From the evaluated reports, four major categories of information were identified: (1) patient details such as date of interview (n = 72, 100%) and medicine history (n = 70, 97%); (2) pharmacist assessment including assessment of the patient (n = 70, 97%), medicines management (n = 68, 94%) and medicine-related issues (n = 60, 83%); (3) pharmacist recommendations, specifically pharmacological recommendations (n = 67, 93%); and (4) patient-centred experiences such as perspectives on medicines (n = 56, 78%). Reporting of patient-centred experiences appeared most variably in the included reports, including patient concerns (n = 38, 53%), willingness for change (n = 27, 38%), patient preferences (n = 13, 18%), and patient goals (n = 7, 10%).

Conclusion
Pharmacists within our study included a wide variety of information in their comprehensive medication management review reports. Aside from medication-related problems, pharmacists commonly provided a holistic assessment of the patients they care for. However, variability across reports has the potential to impact consistent service delivery.
Teleworking in the Covid-19 Pandemic
Authors: Weinert Christoph , Weitzel Tim 
Published: March 2023

AbstractTeleworkers who live and work in the same space are vulnerable to conflicts between personal life and work (LWC). The Covid-19 lockdowns increased the intensity and risk of LWC and changed telework conditions, confronting teleworkers with difficult personal situations and often ill-equipped telework environments. To develop a better understanding of the effects of different LWC dimensions (e.g., time, strain, behavior) on work exhaustion, job satisfaction, routine and innovative job performance and the role of the IT telework environment among teleworkers in the Covid-19 pandemic, a research model based on a sample of 249 teleworkers was developed and validated. The findings show that LWC has adverse effects on job outcomes and that the IT telework environment moderates these effects. The study contributes to the telework and role conflict literature by revealing the essential role of the IT telework environment and by differentiating between routine and innovative job performance among teleworkers.
State estimation for delayed genetic regulatory networks with reaction diffusion terms and Markovian jump
Authors: Zou Chengye , Zhou Changjun , Zhang Qiang , He Xinyu , Huang Chun 
Published: March 2023

AbstractRobust state estimation for delayed genetic regulatory networks with reaction–diffusion terms and uncertainties terms under Dirichlet boundary conditions is addressed in this article. The main purpose of the problem investigation is to design a novel state observer for estimate the true concentrations of mRNA and protein by available measurement outputs. Based on Lyapunov–Krasovskii functions and linear matrix inequalities (LMI), sufficient conditions are given to ensure the robust stability of the estimation error networks. Two examples are presented to illustrate the effectiveness of the proposed approach.
Calotropis gigantea Fiber-Based Sensitivity-Tunable Strain Sensors with Insensitive Response to Wearable Microclimate Changes
Authors: Zhang Junze , Liu Jing , Zhao Zeyu , Sun Weiwei , Zhao Gaojuan , Liu Jingge , Xu Jianchu , Li Yuling , Liu Zekun , Li Yi , Li Gang 
Published: March 2023

AbstractWearable tensile strain sensors have attracted substantial research interest due to their great potential in applications for the real-time detection of human motion and health through the construction of body-sensing networks. Conventional devices, however, are constantly demonstrated in non-real world scenarios, where changes in body temperature and humidity are ignored, which results in questionable sensing accuracy and reliability in practical applications. In this work, a fabric-like strain sensor is developed by fabricating graphene-modified Calotropis gigantea yarn and elastic yarn (i.e. Spandex) into an independently crossed structure, enabling the sensor with tunable sensitivity by directly altering the sensor width. The sensor possesses excellent breathability, allowing water vapor generated by body skin to be discharged into the environment (the water evaporation rate is approximately 2.03 kg m−2 h−1) and creating a pleasing microenvironment between the sensor and the skin by avoiding the hindering of perspiration release. More importantly, the sensor is shown to have a sensing stability towards changes in temperature and humidity, implementing sensing reliability against complex and changeable wearable microclimate. By wearing the sensor at various locations of the human body, a full-range body area sensing network for monitoring various body movements and vital signs, such as speaking, coughing, breathing and walking, is successfully demonstrated. It provides a new route for achieving wearing-comfortable, high-performance and sensing-reliable strain sensors.
Graphical Abstract