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Near Infrared Spectroscopy (NIRS), as one of analysis technologies, has shown promisingly industrial applications for significant properties for recent decades such as fast response, preciseness, non-intrusion etc. Here, the authors employed NIRS coupled with a series of physical and chemical tests to assess the ageing condition of oil-paper insulation, which is responsible for the main insulation type of high-voltage power transformer. Among these procedures, the data analytic algorithms are of utmost importance to determine the evaluation precision. After plenty of trial-and-error, Savitzky-Golay (S-G) convolution was finally utilised to de-noise samples and improve the spectral data quality. The competitive adaptive reweighted sampling (CARS) was used to select the optimal wavelength combination of NIRS, which is found able to fully extract the effectively spectral information and reduce dimensions of spectral data. Based on the above-mentioned techniques, the quantitative analysis model of NIRS was established by partial least squares (PLS), which could synthetically process the spectral data and the degree of polymerisation (DP) of paper samples. The results indicated that compared with the traditional detection methods, the NIRS analysis is a powerful and informative tool to characterise the condition of oil-paper insulation without intrusion or damage to transformers. [ABSTRACT FROM AUTHOR]

New methods of judging the impact of academic articles now include alternative metrics, and the goal of this study was to provide an insight into the journals and papers with top Altmetric attention scores (AAS) in the field of journalism. Scopus and Dimensions were used as the primary data sources. Fifteen journalism journals were identified from Scopus, and papers from these journals with an Altmetric Attention Score of over 100 were collected from Dimensions as the study's sample, which comprised 87 papers. Most of the papers with high AAS were published after 2017, and five were published in 2022. The sample included a larger number of closed access articles (n = 50) than open access (n = 37), although analysis revealed that open access articles had higher median Tweets than closed access. Articles on journalism practice were more likely to receive attention from news outlets. None of the papers with high AAS are highly cited, which may be due to the limited time to accumulate citations. The journal with the highest impact factor (Digital Journalism) did not have the greatest number of papers with high AAS, but had far higher scores on Twitter engagement than the other journals. The results do not show any correlation between impact factors and citation metrics and social metrics. [ABSTRACT FROM AUTHOR]

This paper considers the problem of target tracking in complex manoeuvering scenarios with a lack of relevant prior knowledge. This is a challenge for classical model‐based manoeuvering target tracking algorithms because they rely heavily on accurate domain and prior knowledge of target motion. To address this problem, we propose a hybrid‐driven continuous‐time filter algorithm in this paper, which combines the advantages of the model‐driven and data‐driven. We use the stochastic differential equation (SDE) with the acceleration model as the basic framework of the proposed algorithm. In order to deal with unpredictable manoeuvres and unknown perturbations, we adopt neural networks as data‐driven to estimate target accelerations and compensations of composite perturbations in real time using historical and current measurements. And the direction of gradient descent of the neural network is constrained by the motion model, thus the learning efficiency of the network and the interpretability of the proposed algorithm is improved. The proposed algorithm can simultaneously utilise historical trajectory information and domain knowledge as hybrid‐driven to achieve complex manoeuvering target tracking with little prior information. Experimental results demonstrate the superiority of our algorithm in tracking accuracy, robustness and environmental adaptability. [ABSTRACT FROM AUTHOR]

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Habitat spatial structure has a profound influence on bacterial life, yet there currently are no low‐cost equipment‐free laboratory techniques to reproduce the intricate structure of natural bacterial habitats. Here, we demonstrate the use of paper scaffolds to create landscapes spatially structured at the scales relevant to bacterial ecology. In paper scaffolds, planktonic bacteria migrate through liquid‐filled pores, while the paper's cellulose fibres serve as anchor points for sessile colonies (biofilms). Using this novel approach, we explore bacterial colonisation dynamics in different landscape topographies and characterise the community composition of Escherichia coli strains undergoing centimetre‐scale range expansions in habitats structured at the micrometre scale. The bacteria‐in‐paper platform enables quantitative assessment of bacterial community dynamics in complex environments using everyday materials. [ABSTRACT FROM AUTHOR]

To explore the citation evolution of papers published in the same year but different month, we selected papers from a discipline (physical geography), a subject (diabetes: endocrine and metabolism) and a journal (Journal of Biological Chemistry) published in 2005 as research objects. These papers were divided into six groups according to the difference in publication month, and we analyzed citations to these papers for the 9 years after publication. The results showed that within 5 years after papers from physical geography were published, the overall differences in citations of papers in different groups were statistically significant (P < 0.05); after that, the differences were not statistically significant. Within 5 years after papers from diabetes (endocrine and metabolism) were published, the overall differences in citations of papers in different groups were statistically significant (P < 0.05); thereafter, the differences were not statistically significant. Within 7 years after papers from the Journal of Biological Chemistry were published, the overall differences in citations of papers in different groups were statistically significant (P < 0.05); thereafter, the differences were not statistically significant. Citations of papers followed the same pattern irrespective of discipline, subject or journal: citations of papers published in the same year but different month were obviously different in the first few publishing years, but as time went on, only the difference in publication month in a calendar year did not affect the papers' longer-term citation. [ABSTRACT FROM AUTHOR]

Advanced carbon materials are important for the next-generation of energy storage apparatus, such as electrochemical capacitors. Here, the physical and electrochemical properties of carbonised filter paper (FP) were investigated. FP is comprised of pure cellulose and is a standardised material. After carbonisation at temperatures ranging from 600 to 1700 °C, FP was contaminant-free, containing only carbon and some oxygenated species, and its primary fibre structure was retained (diameter ≈20-40 μm). The observed enhancement in conductivity of the carbonised FP was correlated with the carbonisation temperature. Electrochemical capacitance in the range of ≈1.8-117 F g−1 was achieved, with FP carbonised at 1500 °C showing the best performance. This high capacitance was stable with >87 % retained after 3000 charge-discharge cycles. These results show that carbonised FP, without the addition of composite materials, exhibits good supercapacitance performance, which competes well with existing electrodes made of carbon-based materials. Furthermore, given the lower cost and renewable source, cellulose-based materials are the more eco-friendly option for energy storage applications. [ABSTRACT FROM AUTHOR]

In recent years, frequency domain spectroscopy (FDS) is often used to evaluate oil paper insulation state in power transformer bushing. But it is still very difficult to evaluate the moisture content accurately and quickly. In order to solve this problem, this paper proposes an intelligent algorithm based on random forest regression (RFR) to construct an efficient evaluation method through segmented FDS curves. Furthermore, the characteristics of FDS curves were studied and the intelligent method was compared with support vector regression (SVR) and deep neural networks (DNN). The results show that the dielectric loss, the real part and imaginary part of complex capacitance all move upward with the moisture increasing, so they can be used as the input feature of the evaluation model; The moisture content evaluation accuracy of the RFR model in the whole frequency band is higher than that of SVR and DNN models; With the increase of lower cut off frequency (FDS test stop frequency), the FDS test time is greatly shortened, and the accuracy of the RFR model can still meet the evaluation requirements. Therefore, the data in a compromise frequency band can be used to evaluate the moisture content of oil paper insulation accurately and quickly. [ABSTRACT FROM AUTHOR]

Background: Cognitive intervention is accepted as a potential therapy to prevent the incident dementia. It was found that computerized cognitive training might be effective for older adults with mild cognitive impairment (MCI) in previous studies. We aimed to find the effect of multidomain cognitive training using tablet computer on the cognitive and psychological function in patients with MCI. Method: Participants in training group (n = 15) conducted a multidomain cognitive training program using table computer and those in control group (n = 13) conducted an educational book reading twice a week for eight weeks. They were evaluated of their cognitive and psychiatric function before and after the program. The differences of the pre‐ and post‐ scores were compared between training and control groups. Result: Participants in training group showed improvement in cognitive domains such as language (p = 0.012), memory (p = 0.050), and frontal executive function (p = 0.017), and psychiatric symptoms such as apathy (p = 0.001) and quality of life (p = 0.035) after the training. Control group participants showed improvements in frontal executive function (p = 0.013), positive affect (p = 0.019), apathy (p = 0.022) and mild behavioral impairment score (p = 0.049). Between group comparison of the pre‐ and post‐training difference showed significant improvement in training group compared to control group in memory (p = 0.020), frontal executive function (p = 0.024), positive affect (p = 0.037), apathy (p = 0.048), and quality of life (p = 0.047). Conclusion: We found the effect of multidomain cognitive training using tablet computer in cognitive domain including memory and executive function, positive affect, apathy, and quality of life in MCI patients. Tablet computer cognitive training may be effective in multidomain cognitive training with transfer effect in the prodromal stage of dementia. Future trials with larger sample size and various devices would find the effect of the computerized cognitive training. [ABSTRACT FROM AUTHOR]

Capacitive high‐voltage bushing is one of the typical oil‐immersed paper insulation equipment, which is an indispensable external connection component for power transformers. In order to evaluate the effectiveness of frequency domain spectroscopy (FDS) for diagnosing moisture content of oil‐immersed paper insulation bushing, this article studied the frequency‐domain dielectric characteristics of oil‐immersed paper insulation samples and field bushing. At the same time, the basic principle of interfacial polarisation is used to analyse the samples and field bushing with non‐uniform moisture content. The results show that the moisture content affects the whole frequency band of the FDS curve. When the distribution of moisture content is non‐uniform, the paper with high moisture content has a great influence on the whole FDS curve of oil‐immersed paper insulation. In addition, the FDS curves will show a significant loss peak. The frequency of the peak point gradually moves towards the high frequency as the non‐uniformity of the moisture content distribution increases. The experimental results show that the variation law of oil‐immersed paper insulation can be used to quantitatively evaluate the moisture content and moisture type of oil–paper insulation power equipment. [ABSTRACT FROM AUTHOR]

In pulp and paper mills, effective biosludge dewatering is essential in wastewater treatment to reduce the large volume of biosludge that needs to be treated and disposed. The dewatering process normally requires the use of polymers from petroleum‐based sources. This study explores the potential of using cationic proteins such as protamine for biosludge dewatering through dual conditioning with a small amount of a synthetic anionic polymer such as anionic polyacrylamide (APAM). The results show that dual conditioning provides substantial synergistic enhancements in dewatering. The maximum cake solids content of biosludge achieved by adding protamine (7.5%) alone was 12%. By dual conditioning with a small amount of APAM (0.1%), not only the cake solids content was increased to 16%, but also the amount of protamine addition was substantially lowered to 2%. These results, coupled with the change in zeta potential of the particles in the biosludge samples, suggest that the cationic protamine reduced the negative charge of the particles, allowing smaller particles to agglomerate and providing a positively charged framework for the subsequent addition of the negatively charged APAM. After adding APAM, substantial floc‐bridging occurred, allowing smaller flocs to aggregate into larger flocs. These synergistic effects can lower the wastewater treatment cost by reducing the amount of synthetic polymer and by applying low‐value proteins from natural sources. [ABSTRACT FROM AUTHOR]

Objective: The Patient Information Leaflet (PIL) is an authoritative document that all people with epilepsy in the EU receive when prescribed antiseizure medication (ASM). We undertook the first independent, comprehensive assessment to determine how understandable they are. Regulators state that when patients are asked comprehension questions about them, ≥80% should answer correctly. Also, recommended is that PILs have a maximum reading requirement of US grade 8. Methods: Study 1: We obtained 140 current ASM PILs written in English. "Readability" was assessed using four tests, with and without adjustment for influence of familiar, polysyllabic words. A total of 179 online materials on epilepsy were also assessed. Study 2: Two PILs from Study 1 were randomly selected (Pregabalin Focus; Inovelon) and shown to 35 people from the UK epilepsy population. Their comprehension was assessed. Study 3: To understand whether the student population provides an accessible alternative population for future examination of ASM PILs, Study 3 was completed, using the same methods as Study 2, except that participants were 262 UK university students. Results: Study 1: No PIL had a reading level of grade 8. Median was grade 11. Adjusting for context, the PILs were still at grade 10.5. PILs for branded ASMs were most readable. PILs were no more readable than (unregulated) online materials. Study 2: Users struggled to comprehend the PILs' key messages. The eight questions asked about pregabalin were typically answered correctly by 54%. For Inovelon, it was 62%. Study 3: Most student participants comprehended the PILs' key messages. The questions about Inovelon were answered correctly by 90%; for pregabalin it was 86%. Significance: This is the first independent and comprehensive examination of ASM PILs. It found that PILs being used fail to meet recommendations and regulatory requirements and risk not being understandable to a substantial proportion of users. In finding that people from the epilepsy population differ markedly in comprehension of PILs compared to students, this study highlights the importance of completing user testing with the target population. [ABSTRACT FROM AUTHOR]

Students and junior researchers are important stakeholders in scholarly publishing, but there is relatively little research into their reading needs and barriers. This study hoped to understand the similarities and differences between junior researchers and students, between this group and more senior researchers and between different disciplines. The research comprised two parts: initial interviews to ascertain the main barrier and needs items, followed by a large‐scale online survey. The survey received 673 responses from Chinese students and junior researchers. The survey revealed that poor presentation leading to poor understanding was a common barrier, but there were disciplinary differences, with humanities scholars having fewer barriers than other disciplines. Postgraduates reported more barriers than undergraduates, and also scored information needs more highly. The results identify needed improvements in the presentation of articles and explanation of terminology in order to better engage with students and junior researchers. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) first emerged in China in November 2019. Most governments have responded to the COVID-19 pandemic by imposing a lockdown. Some evidence suggests that a period of isolation might have led to a spike in alcohol misuse, and in the case of patients with alcohol use disorder (AUD), social isolation can favour lapse and relapse. The aim of our position paper is to provide specialists in the alcohol addiction field, in psychopharmacology, gastroenterology and in internal medicine, with appropriate tools to better manage patients with AUD and COVID-19,considering some important topics: (a) the susceptibility of AUD patients to infection; (b) the pharmacological interaction between medications used to treat AUD and to treat COVID-19; (c) the reorganization of the Centre for Alcohol Addiction Treatment for the management of AUD patients in the COVID-19 era (group activities, telemedicine, outpatients treatment, alcohol-related liver disease and liver transplantation, collecting samples); (d) AUD and SARS-CoV-2 vaccination. Telemedicine/telehealth will undoubtedly be useful/practical tools even though it remains at an elementary level; the contribution of the family and of caregivers in the management of AUD patients will play a significant role; the multidisciplinary intervention involving experts in the treatment of AUD with specialists in the treatment of COVID-19 disease will need implementation. Thus, the COVID-19 pandemic is rapidly leading addiction specialists towards a new governance scenario of AUD, which necessarily needs an in-depth reconsideration, focusing attention on a safe approach in combination with the efficacy of treatment. [ABSTRACT FROM AUTHOR]

The paper does not explicitly mention non-motor symptoms as part of the clinical presentation of ET, but extensively quotes other neurologists who reported that ET-patients are often clinically presenting with a névrose trémulante (C. Achard) or psychical degeneration associated with a neuropathic stock (F. Raymond). Interestingly, Critchley separates essential tremor into mild high frequency tremor (resembling thyrotoxic or psychogenic tremor), medium frequency tremor (resembling Parkinsonian tremor) and even low-frequency intention tremor. Since then, there are two studies reporting that ET families22 and early-onset ET patients23 have a longer life expectancy but larger series are lacking. [Extracted from the article]

This paper focuses on the problem of the hierarchical multi‐label classification of research papers, which is the task of assigning the set of relevant labels for a paper from a hierarchy, using reduced amounts of labelled training data. Specifically, we study leveraging unlabelled data, which are usually plentiful and easy to collect, in addition to the few available labelled ones in a semi‐supervised learning framework for achieving better performance results. Thus, in this paper, we propose a semi‐supervised approach for the hierarchical multi‐label classification task of research papers based on the well‐known Co‐training algorithm, which exploit content and bibliographic coupling information as two distinct papers' views. In our approach, two hierarchical multi‐label classifiers, are learnt on different views of the labelled data, and iteratively select their most confident unlabelled samples, which are further added to the labelled set. The success of our suggested Co‐training‐based approach lies in two main components. The first is the use of two suggested selection criteria (i.e., Maximum Agreement and Labels Cardinality Consistency) that enforce selecting confident unlabelled samples. The second is the appliance of an oversampling method that rebalances the labels distribution of the initial labelled set, which reduces the reinforcement of the label imbalance issue during the Co‐training learning. The proposed approach is evaluated using a collection of scientific papers extracted from the ACM digital library. Performed experiments show the effectiveness of our approach with regards to several baseline methods. [ABSTRACT FROM AUTHOR]

In this work, the deposition of hydrophobic coatings onto porous materials is systematically studied for the fabrication of membranes with asymmetric and symmetric wetting properties. Initiated plasma‐enhanced chemical vapor deposition is used to deposit an organosilicon polymer coating onto chromatography paper of different thicknesses. The hydrophobic organosilicon polymer serves as an environmentally friendly alternative to fluorinated polymers and the all‐dry coating process does not use solvents. The deposition time, thickness of the paper, and orientation of the paper relative to the stage are shown to affect the symmetry of the wettability. The chemical functionality of the deposited polymer is characterized via Fourier‐transform infrared spectroscopy and X‐ray photoelectron spectroscopy. The hydrophobicity and wetting behavior of the coated paper are characterized with contact angle goniometry and wicking studies. Scale‐up of the process is also demonstrated by using a roll‐to‐roll module. The ability to systematically tune the wettability of materials allows for the fabrication of multilayer and Janus membranes for potential applications including filtration, smart textiles, flexible sensors, and wound dressings. [ABSTRACT FROM AUTHOR]

The 2019 outbreak of coronavirus disease (COVID‐19) in Wuhan (Hubei province of China) has given rise to a pandemic spread of virus, more than 240 million incidences and a death toll larger than 5 million people. COVID‐19 has set off large efforts in research, therapy and patient care, as well as public and private debates in every imaginable form. A number of scientists used the publication platforms provided by the Federation of the European Biochemical Societies (FEBS) to present their research data, reviews, opinions and other contributions relating to COVID‐19 and severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Here, I highlight the recent COVID‐19 papers which have been published and collected in a Virtual Issue in FEBS Letters, and discuss their implications towards understanding the molecular, biochemical and cellular mechanisms of SARS‐CoV‐2 infections, vaccine development and antiviral discovery strategies. [ABSTRACT FROM AUTHOR]

This paper utilizes a hybrid Debye model to accurately simulate the relaxation response process of the oil‐paper insulation of a transformer to explore the application of frequency domain dielectric spectroscopy (FDS) in nondestructive diagnosis of the aging condition of oil‐paper insulation. Via FDS test data, the model parameters can be identified, and the influence laws of FDS can be obtained through the variation of model parameters. To explore the effects of insulating paper moisture content, insulating paper layers, and test temperature on FDS characteristics, an FDS experimental platform is established. The results show that the hybrid Debye model can effectively reflect the relaxation response process of oil‐paper insulation under different conditions, as well as that a physical relationship between the model parameters and oil‐paper dielectric polarization exists. In addition, the parameters of the hybrid Debye model can be used as the characteristic quantities for the non‐destructive evaluation of the oil‐paper insulation state, providing new ideas for the non‐destructive evaluation of the oil‐paper insulation state. [ABSTRACT FROM AUTHOR]

The impact of COVID‐19 has underlined the need for reliable information to guide clinical practice and policy. This urgency has to be balanced against disruption to journal handling capacity and the continued need to ensure scientific rigour. We examined the reporting quality of highly disseminated COVID‐19 research papers using a bibliometric analysis examining reporting quality and risk of bias (RoB) amongst 250 top scoring Altmetric Attention Score (AAS) COVID‐19 research papers between January and April 2020. Method‐specific RoB tools were used to assess quality. After exclusions, 84 studies from 44 journals were included. Forty‐three (51%) were case series/studies, and only one was an randomized controlled trial. Most authors were from institutions based in China (n = 44, 52%). The median AAS and impact factor was 2015 (interquartile range [IQR] 1,105–4,051.5) and 12.8 (IQR 5–44.2) respectively. Nine studies (11%) utilized a formal reporting framework, 62 (74%) included a funding statement, and 41 (49%) were at high RoB. This review of the most widely disseminated COVID‐19 studies highlights a preponderance of low‐quality case series with few research papers adhering to good standards of reporting. It emphasizes the need for cautious interpretation of research and the increasingly vital responsibility that journals have in ensuring high‐quality publications. [ABSTRACT FROM AUTHOR]

This document is a guest editorial from the journal IET Generation, Transmission & Distribution. It discusses the use of artificial intelligence (AI) in reliable forecasting for energy sectors. The editorial highlights the challenges of integrating renewable energy sources and fluctuating electricity demand, and emphasizes the importance of accurate forecasting for system operators. The document also provides summaries of several papers included in a special issue on AI-empowered forecasting in energy sectors, covering topics such as load forecasting, wind power prediction, and control parameter optimization. The editorial concludes by recommending further research and practical implementations of AI approaches in the energy sectors. [Extracted from the article]

The mission of AGU's Journal of Advances in Modeling Earth Systems (JAMES) is to publish original research papers that advance the science underlying Earth system models and emerging from their use. JAMES' scope encompasses the outer envelope of the Earth system including the atmosphere, oceans, land surface, and cryosphere. It publishes papers that expand capabilities to model, understand, and predict the Earth system and the physical, chemical, and biological processes shaping it. In this editorial, we present general principles as well as specific notions that guide the strategy of JAMES' editors in realizing the journal's mission. This document serves as an update to Griffies et al. (2021), https://doi.org/10.1029/2021MS002567. Key Points: This Editorial presents principles that guide Journal of Advances in Modeling Earth Systems' editors in realizing the journal's mission [ABSTRACT FROM AUTHOR]

Aim: To describe the non‐significant results in nurses' outcomes after the implementation of person‐centred care (PCC) and discuss if and how enablers of the WE‐CARE roadmap for implementing PCC could abate the non‐significant results. Design: In this paper, an innovative framework of enablers in the WE‐CARE Roadmap is explained in relation to increased PCC and nurses' job satisfaction. Method: Findings from a scoping review and published material provided how PCC and nurses' outcomes connect. The WE‐CARE roadmap entails five enablers: Information technology, Quality measures, Infrastructure, Incentive systems and contracting strategies. Results: The WE‐CARE roadmap was described and each enabler in the WE‐CARE roadmap is discussed concerning PCC and the nurses' job satisfaction. Thus far, the effects of PCC on nurses' outcomes have been non‐significant. The WE‐CARE roadmap enablers can be implemented to ensure an increased PCC implementation and higher nurses' job satisfaction. [ABSTRACT FROM AUTHOR]

The objectives of this study were to examine how to recycle cup waste efficiently and effectively and to determine if cup waste can be converted into liquid, solid, and gas value‐added products by slow pyrolysis. The characteristics and potential utilizations of the pyrolysis products were investigated. The study included the effects of temperature, heating rate, and different feedstocks. The yield of pyrolysis oil derived from cup waste increased from 42% at 400°C to 47% at 600°C, while the yield of char decreased from 26% at 400°C to approximately 20% at 600°C. Acetic acid and levoglucosan were identified as the main components of the pyrolysis oil. The char obtained at 500°C was physically activated at 900°C for 3 h with CO2. The adsorption capacity of the activated char was investigated with model compounds, such as methyl orange, methylene blue, ibuprofen, and acetaminophen. The results showed that the adsorption capacity of the activated char was similar to that of commercial activated carbon produced from peat. The higher heating value of the produced gas stream calculated at 400°C was 19.59 MJ/Nm3. Also, conventional slow pyrolysis (CSP) and microwave‐assisted pyrolysis (MAP) technologies were compared to determine the differences in terms of products yields, composition and characteristics of the pyrolysis oil, and their potential applications. The CSP yields higher liquid products than MAP. Also, the pyrolysis oil obtained from the CSP had significantly more levoglucosan and acetic acid compared to that of the MAP. [ABSTRACT FROM AUTHOR]

Paper‐based superomniphobic surfaces are of great interest because paper is flexible, inexpensive, lightweight, breathable, and recyclable. Prior reports on paper‐based superomniphobic surfaces have failed to demonstrate high mobility with low surface tension liquids. In order to overcome this issue, in this work, superomniphobic papers are developed through growth of nanofilaments on inherent microfibers of papers without noticeably altering their microscale features (i.e., diameter and distance of the microfibers). These superomniphobic papers display very low roll‐off angle, indicative of ultra‐high droplet mobility, even with low surface tension liquids. Here, a facile method is also developed to control the motion and adhesion of the droplets on the superomniphobic paper. Utilizing such liquid mobility in a controlled manner on these superomniphobic papers, a simple on‐paper pH sensor is fabricated. It is anticipated that this on‐paper, simple, and rapid detection methodology can also be extended to the colorimetric sensing of protein and chemical assays. Further, these superomniphobic papers have potential applications in water–oil separation and enhanced weight‐bearing capacity. [ABSTRACT FROM AUTHOR]

Semiconducting single‐walled carbon nanotubes (sc‐SWCNTs) are promising candidates for constructing high‐performance fully printed flexible thin film transistors (TFTs) and circuits. How to achieve highly dense and uniform SWCNT thin films on different substrates has become a key scientific issue for printed flexible carbon‐based electronics. In this work, a universal method to efficiently immobilize conjugated polymer‐sorted sc‐SWCNTs on different substrates using solution‐processable SiO2 thin film as the adhesion layer is developed. Fully printed top‐gate SWCNT TFTs are successfully constructed by combining aerosol jet and inkjet printing using silver electrodes and ionic liquid‐cross‐linkable‐poly(4‐vinylphenol) as metal contact electrodes and dielectrics, respectively. Consequently, the fully printed paper‐based SWCNT TFTs represent extraordinary mechanical flexibility and good electrical properties with high on/off ratio (higher than 105), small subthreshold swing (≈70 mV dec−1), and small hysteresis, as well as high carrier mobility (up to 10.8 cm2 V−1 s−1) at low gate voltages (±1 V). In addition, the resistor‐loaded fully printed paper‐based inverters are also achieved using printed carbon nanotube conductive lines as the loaded resistors, exhibiting relatively large gains (16 at VDD of 1 V) and excellent mechanical flexibility. This work represents an encouraging advancement toward the practical applications of SWCNTs for high‐performance, low‐cost, and eco‐friendly paper‐based electronics. [ABSTRACT FROM AUTHOR]

This paper experimentally validates a fully digitalized active gate driver for suppressing the switching surge voltage of SiC MOSFETs in a boost converter. High‐voltage power conversion systems are expected to adopt SiC unipolar power devices utilizing their high‐speed switching capability. The high‐speed switching operation causes the switching surge voltage in its switching transient. Active gate driving is a key technology for suppressing it. A fully digitalized active gate driver is particularly focused upon, which freely shaped the output gate‐source voltage waveform by a multi‐bit gate control signal. This driver achieves the dynamical control of the voltage/current behaviours of MOSFET in the switching transient by taking the Miller effect into account. It contributes to suppressing the switching surge voltage. This paper applies this digital active gate driver to a high voltage power conversion circuit. The switching surge voltage is experimentally suppressed by slew rate control with the digital active gate driver for various operating conditions. The results clarify the control strategy of the digital active gate driver for SiC MOSFET in a power conversion circuit. [ABSTRACT FROM AUTHOR]

Kirigami, the ancient art of paper cutting, has evolved into a design and fabrication framework to engineer multi‐functional materials and structures at vastly different scales. By slit cutting with carefully designed geometries, desirable mechanical behaviors—such as accurate shape morphing, tunable auxetics, super‐stretchability, buckling, and multistability—can be imparted to otherwise inflexible sheet materials. In addition, the kirigami sheet provides a versatile platform for embedding different electronic and responsive components, opening up avenues for building the next generations of metamaterials, sensors, and soft robotics. These promising potentials of kirigami‐based engineering have inspired vigorous research activities over the past few years, generating many academic publications. Therefore, this review aims to provide insights into the recent advance in this vibrant field. In particular, this paper offers the first comprehensive survey of unique mechanical properties induced by kirigami cutting, their underlying physical principles, and their corresponding applications. The synergies between design methodologies, mechanics modeling, advanced fabrication, and material science will continue to mature this promising discipline. [ABSTRACT FROM AUTHOR]

Calls to decolonise academia are increasing, yet progress has been halting, including in academic publishing. This paper considers publishing practices and outcomes in Island Studies Journal (a diamond open access, multidisciplinary, high‐ranked journal), which has taken an explicitly decolonial editorial direction in recent years. We undertake a cross‐tabulation analysis of the 175 articles published in Island Studies Journal between January 2017 and October 2022, attending to characteristics of authors, articles, regions, branches of science, and impact. We find that coloniality and the West/non‐West divide remain prevalent in the journal, with differences in the kinds of research scholars from different regions can get published and the kinds of impact their articles make. Western scholarly norms are reproduced and enforced even in a journal that seeks to support antiracism and decolonization. We discuss the editorial tensions involved in seeking to simultaneously increase opportunities for individual intersectionally marginalized scholars while challenging colonial power structures. [ABSTRACT FROM AUTHOR]

As the field of ecology evolves, analyses synthesizing trends in key topics addressed over the decades can provide historical context for the development of novel theories and methods, identify "hot topics" over time, and guide future research directions. Such syntheses in a field that aims to diversify can also help quantify efforts to increase representation and authorship by underrepresented groups in STEM. To identify hot topics in ecology, we analyzed key themes in the top‐cited ecology papers in three two‐decade timeframes spanning 1960–2019. We also analyzed authorship trends (gender identity and nationality) in the top‐cited papers. We documented a shift from descriptive studies in single biological systems in the 1960–1970, to more synthesis‐based papers and studies discussing human impacts on the environment in the 1980–1990, while the 2000s were dominated by novel quantitative and macroecological approaches. The top‐cited papers were overwhelmingly from the United States and Europe, highlighting the need to make studies from across the globe more visible and accessible in the ecological literature. Finally, we detected a trend for more papers led by women authors, but a decline in papers with women last authors, indicating a need to retain women in leadership positions. Overall, our hot topics analysis highlights the expanding breadth and quantitative nature of ecology, but illustrates barriers to diversity in the perspectives represented in the top‐cited papers. [ABSTRACT FROM AUTHOR]

Banks have a unique ability to hedge against market-wide liquidity shocks. Deposit inflows provide funding for loan demand shocks that follow declines in market liquidity. Consequently, banks can insure firms against systematic declines in liquidity at lower cost than other institutions. We provide evidence that when liquidity dries up and commercial paper spreads widen, banks experience funding inflows. These flows allow banks to meet loan demand from borrowers drawing funds from commercial paper backup lines without running down their holdings of liquid assets. We also provide evidence that implicit government support for banks during crises explains these funding flows. [ABSTRACT FROM AUTHOR]

Study of alternate fluids for transformer and their combination with traditional ones is an interesting area of research. The intent of this work is to investigate the thermal ageing performance of ester oils (synthetic and natural), and mixed oil vis‐à‐vis mineral oil. All the samples were thermally stressed at 110, 140, 160, and 185°C for 2 weeks each. Dissolved decay contents in oil and linear thermal expansion coefficients of solid insulation have been studied using ultraviolet visible infrared spectroscopy and dilatometry analysis, respectively, as per ASTM standards. Change in functional groups of the insulation oils with ageing have been understood by Fourier transform infrared spectroscopy analysis. Additionally, diffusion of oil–moisture mixture into paper with ageing and the corresponding effect on dielectric strength of paper has been also examined using ASTM standards. It is observed that the use of synthetic ester (SE) and addition of SE to mineral insulating oil lead to improved performance of oil–paper insulation system with retarding the rate of degradation of the insulation system. [ABSTRACT FROM AUTHOR]

In this future directions in finance article, I discuss several topics that I believe are promising areas for research. The topics fall into three areas: the microstructure of fixed income markets, equity market microstructure, and short selling. Both theoretical and empirical work is needed in these areas. [ABSTRACT FROM AUTHOR]

Silver‐zinc (Ag–Zn) batteries are a promising battery system for flexible electronics owing to their high safety, high energy density, and stable output voltage. However, poor cycling performance, low areal capacity, and inferior flexibility limit the practical application of Ag–Zn batteries. Herein, we develop a flexible quasi‐solid‐state Ag–Zn battery system with superior performance by using mild electrolyte and binder‐free electrodes. Copper foam current collector is introduced to impede the growth of Zn dendrite, and the structure of Ag cathode is engineered by electrodeposition and chloridization process to improve the areal capacity. This novel battery demonstrates a remarkable cycle retention of 90% for 200 cycles at 3 mA cm−2. More importantly, this binder‐free battery can afford a high capacity of 3.5 mAh cm−2 at 3 mA cm−2, an outstanding power density of 2.42 mW cm−2, and a maximum energy density of 3.4 mWh cm−2. An energy management circuit is adopted to boost the output voltage of a single battery, which can power electronic ink display and Bluetooth temperature and humidity sensor. The developed battery can even operate under the extreme conditions, such as being bent and sealed in solid ice. This work offers a path for designing electrodes and electrolyte toward high‐performance flexible Ag–Zn batteries. [ABSTRACT FROM AUTHOR]

Billions of costless near‐field communication (NFC) sensor labels per day are demanded to practically enable edge computing between smartphones and everyday objects. However, to activate the billions of NFC sensor labels daily, providing an inexpensive manufacturing method for billions of wireless energy‐harvesting labels (WeHL) per day will become a decisive issue for realizing the practical applications. Herein, a roll‐to‐roll (R2R) gravure, a typical high‐throughput additive manufacturing method, is explored to print WeHLs where six diodes and six capacitors are integrated. To meet the high‐throughput manufacturing speed (90 mm s−1) of the R2R gravure system, six different electronic inks are formulated to print the WeHLs to harvest ±10 V from the smartphone's NFC carrier. To attain a practical device yield under the given printing speed, the web tension, nip force, doctor blade angle, and overlay printing registration accuracy are well controlled and optimized to print six different layers within a high overlay printing accuracy, while printing patterns to connect two electrodes with a height difference greater than 3 μm. The fully R2R‐printed WeHLs can successfully harvest energy from the smartphone's NFC carrier with the conversion efficiency of 50%. [ABSTRACT FROM AUTHOR]

Abstract: Paper, one of the oldest materials for storage and exchange of human's information, has been reinvented as a building component of electronic and optoelectronic devices over the past decades with successful demonstration of paper‐based or paper‐using devices. These recent achievements can meet the demand for lightweight, cost‐effective, and/or flexible electronic and optoelectronic devices with advanced functionality and reduced manufacturing costs. This article provides a review of electronic and optoelectronic devices relying on or making use of the unique properties achievable with paper‐based materials. Basic scientific/technical principles, quantitative comparisons of material, electronic and/or optical properties, and benefits for each paper‐based application are given. Application‐specific research challenges, future design considerations, and development directions are also discussed. [ABSTRACT FROM AUTHOR]