bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Stretchable Multimode Triboelectric Nanogenerator for Energy Harvesting and Self‐Powered Sensing
Authors: Hu Shiyu , Chang Shoude , Xiao Gaozhi , Lu Jianping , Gao Jun , Zhang Yanguang , Tao Ye 
Published: October 2021

AbstractA new type of stretchable triboelectric nanogenerator (TENG) made of a custom‐formulated stretchable conductive composite and an elastomer is reported in this work. The unique structural design allows this stretchable TENG to effectively operate in both pressing and stretching modes. In the pressing mode, the stretchable TENG is able to deliver an open‐circuit voltage of 69 V, a short‐circuit current density of 3.05 mA m−2, and a power density of 23 mW m−2 under loaded conditions. The excellent electrical properties of the stretchable conductive composite under strained conditions render the TENG performance resilient against stretching, with only a 10% decrease in open‐circuit voltage and charge transfer when being subject to 43% strain. In the stretching mode, the TENG exhibits an open‐circuit voltage of 8.4 V, a short‐circuit current density of 0.18 mA m−2, and a power output of 0.19 mW m−2 under loaded conditions. Aside from pressing and stretching, the TENG is responsive to other mechanical deformation such as bending and twisting, with output voltages of 4 and 8 V, respectively. Versatile applications in energy harvesting and sensing, enabled by the multimode operation capability of the stretchable TENG, are demonstrated.
Circularly polarized luminescent self‐organized helical superstructures: From materials and stimulus‐responsiveness to applications
Authors: He Yanrong , Lin Siyang , Guo Jinbao , Li Quan 
Published: October 2021

AbstractCircularly polarized luminescence (CPL) has gained considerable attention in various systems and has rapidly developed into an emerging research field. To meet the needs of actual applications in diverse fields, a high luminescence dissymmetry factor (glum) and tunable optical performance of CPL would be the most urgent pursuit for researchers. Accordingly, many emerging CPL materials and various strategies have been developed to address these critical issues. Emissive cholesteric liquid crystals (CLCs), that is, luminescent self‐organized helical superstructures, are considered to be ideal candidates for constructing CPL‐active materials, as they not only exhibit high glum values, but also enable flexible optical control of CPL. This review mainly summarizes the characteristics of CPL based on CLCs as the bulk phase doped with different emitters, including aggregated induced emission molecules, conventional organic small molecules, polymer emitters, metal–organic complex emitters, and luminescent nanoparticles. In addition, the recent significant progress in stimulus‐responsive CPL based on emissive CLCs in terms of several types of stimuli, including light, electricity, temperature, mechanical force, and multiple stimuli is presented. Finally, a short perspective on the opportunities and challenges associated with CPL‐active materials based on the CLC field is provided. This review is anticipated to offer new insights and guidelines for developing CLC‐based CPL‐active materials for broader applications.
Prediction of the prognosis of patients with bacteremia caused by encapsulated organisms using spleen volume: A retrospective study
Authors: Shimoyama Keiichiro , Azuma Kazunari , Nakamura Itaru , Oda Jun 
Published: October 2021

AbstractAimThe spleen plays an important role in the immune response, and patients with impaired spleen function are at risk of overwhelming post‐splenectomy infection. This study investigated whether the spleen volume could predict the prognosis of patients with bacteremia caused by encapsulated organisms.MethodsThis was a single‐center, retrospective observational study at Tokyo Medical University Hospital. Twenty patients with encapsulated bacteria (Streptococcus pneumoniae, Haemophilus influenzae, Neisseria meningitidis, and Capnocytophaga canimorsus) detected in blood culture between January 2017 and July 2020 were included in the study and categorized into two groups: survive and nonsurvive groups. We investigated the association between spleen volume (SV), spleen volume index (SVI), and in‐hospital mortality. The SVI was defined as: SVI‐H, spleen volume cm3/height m; SVI‐BW, spleen volume cm3/body weight kg; and SVI‐A, spleen volume cm3 × age/100.ResultsThe number of patients in the survive group was 17, and that of the non‐survive group was 3. The SV and SVI were smaller in the nonsurvive group than in the survive group (P < 0.05). The calculated the SV cut‐off for the prediction of prognosis was 36 cm3 with a sensitivity of 94.1% and specificity of 66.7% with a positive predictive value of 94.1% and a negative predictive value of 66.7%.ConclusionsThe SV and SVI could be used to predict the prognosis of bacteremia caused by encapsulated organisms. If the spleen volume as measured by computed tomography is small, more intensive treatment should be considered.
Development of a microwave‐assisted solvent extraction process for the extraction of high‐value carotenoids from Chlorella biomass
Authors: Sarma Mrinal K. , Saha Koel , Choudhury Rachna , Pabbi Sunil , Madamwar Datta , Subudhi Sanjukta 
Published: October 2021

AbstractThe commercial production of carotenoids as bioactive commodities from microalgae has been severely limited due to the nature of the microalgal outer cell matrix. Microwave technology offers a rapid method for obtaining larger amounts of these biochemical compounds. The process facilitates cell‐wall rupture, releasing the inner cell components. Chlorella biomass, raised in an outdoor raceway pond, is used for downstream extraction of carotenoids by following the microwave‐assisted solvent extraction (MAE) approach. The response surface modeling (RSM) strategy was employed to optimize the two independent parameters, power and extraction time, with a two‐level central composite design (CCD). Acetone, hexane, methanol, hexane : acetone (1:1), hexane : ethanol (7:3) were used as solvents of choice. Acetone gave a total carotenoid yield of 0.061 ± 0.003 mg gm−1 under optimum microwave power and time; 130 W and 1.69 min. The optimized yield from hexane was 0.00173 ± 0.005 mg gm−1 with an exposure time of 1 min to 100 W. The total carotenoid yield of the methanol‐based extraction batch was 0.0371 ± 0.004 mg gm−1 with 157 W and 1 min of extraction time. The solvent mixtures of hexane : acetone gave 0.0398 ± 0.002 mg gm−1 (185 W for 1.7 min) and hexane : ethanol gave 0.0383 ± 0.004 mg gm−1 (195 W, 1.6 min), respectively. The results indicate a satisfactory outcome to the process. They also show microwave‐based extraction to be a fast, economic, reproducible, and repeatable method in comparison with the conventional strategies used for recovering the sensitive natural pigments. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd
Lie to my face: An electromyography approach to the study of deceptive behavior
Authors: Shuster Anastasia , Inzelberg Lilah , Ossmy Ori , Izakson Liz , Hanein Yael , Levy Dino J. 
Published: October 2021

BackgroundDeception is present in all walks of life, from social interactions to matters of homeland security. Nevertheless, reliable indicators of deceptive behavior in real‐life scenarios remain elusive.MethodsBy integrating electrophysiological and communicative approaches, we demonstrate a new and objective detection approach to identify participant‐specific indicators of deceptive behavior in an interactive scenario of a two‐person deception task. We recorded participants' facial muscle activity using novel dry screen‐printed electrode arrays and applied machine‐learning algorithms to identify lies based on brief facial responses.ResultsWith an average accuracy of 73%, we identified two groups of participants: Those who revealed their lies by activating their cheek muscles and those who activated their eyebrows. We found that the participants lied more often with time, with some switching their telltale muscle groups. Moreover, while the automated classifier, reported here, outperformed untrained human detectors, their performance was correlated, suggesting reliance on shared features.ConclusionsOur findings demonstrate the feasibility of using wearable electrode arrays in detecting human lies in a social setting and set the stage for future research on individual differences in deception expression.
Ce0.9Pr0.1O2‐δ‐Pr0.6Ca0.4MnO3‐δ dual‐phase membranes: oxygen permeability and stability
Authors: Wang Shu , Wang Xiaopeng , Huang Yanhang , Zeng Lingyong , He Yiyi , Boubeche Mebrouka , Luo Huixia 
Published: October 2021

AbstractPreviously unreported Ce0.9Pr0.1O2‐δ‐Pr0.6Ca0.4MnO3‐δ (CPO‐PCMO) dual‐phase membrane is designed and successfully fabricated. The crystal structure, surface morphology, stability, and oxygen permeability is systematically investigated. The XRD results reveal that CPO‐PCMO dual‐phase membranes are made up of cubic fluorite phase and orthorhombic perovskite phase, which exhibit excellent stability at elevated temperature under air atmospheres as well as various low oxygen conditions such as Ar or CO2 atmospheres. In addition, no obvious holes, cracks, and impurities are observed. The obtained CPO‐PCMO membrane with 0.8 mm thickness exhibits comparable oxygen permeability with a flux of 0.23 mL min−1cm−2 under air/He gradient at 1000 °C and stably works over 300 min without obvious deterioration under air/CO2 gradient, suggesting it has good CO2 stability.
Machine Learning in Chemical Engineering: A Perspective
Authors: Schweidtmann Artur M. , Esche Erik , Fischer Asja , Kloft Marius , Repke Jens‐Uwe , Sager Sebastian , Mitsos Alexander 
Published: October 2021

AbstractThe transformation of the chemical industry to renewable energy and feedstock supply requires new paradigms for the design of flexible plants, (bio‐)catalysts, and functional materials. Recent breakthroughs in machine learning (ML) provide unique opportunities, but only joint interdisciplinary research between the ML and chemical engineering (CE) communities will unfold the full potential. We identify six challenges that will open new methods for CE and formulate new types of problems for ML: (1) optimal decision making, (2) introducing and enforcing physics in ML, (3) information and knowledge representation, (4) heterogeneity of data, (5) safety and trust in ML applications, and (6) creativity. Under the umbrella of these challenges, we discuss perspectives for future interdisciplinary research that will enable the transformation of CE.
A Configurationally Tunable Perylene Bisimide Derivative‐based Fluorescent Film Sensor for the Reliable Detection of Volatile Basic Nitrogen towards Fish Freshness Evaluation
Authors: Jiang Qingwei , Wang Zhaolong , Wang Gang , Liu Ke , Xu Wenjun , Shang Congdi , Gou Xinyu , Liu Taihong , Fang Yu 
Published: October 2021

Comprehensive SummaryRapid and real‐time monitoring of food quality plays critical roles in the food industry and for the general public health. Herein, we specially synthesized a new perylene bisimide (PBI) derivative (PCB‐EpE) composed of two PBI units and a rigid o‐carborane linker, which was further employed in constructing a conceptual fluorescent film sensor for evaluating fish freshness. Photophysical studies indicate that PCB‐EpE displays an open “Z‐type” molecular configuration in chloroform and a closed “Δ‐type” configuration in methyl cyclohexane. Comparatively, “Z‐type” molecular configuration possesses higher fluorescence quantum yield and is more sensitive toward volatile basic nitrogen (VBN). It is noteworthy that the film sensor responds in less than 1 s even in ambient humidity condition. High correlation between the content of total volatile basic nitrogen (TVB‐N) in evaluating fish freshness with different storage time and the fluorescence response is achieved. Detection limit of the film sensor toward trimethylamine as an example is lower than 2.6 mg/m3. Comprehensive sensing investigations demonstrate the rapid detection, strong anti‐interference capability and excellent reusability of the film sensor toward testing VBN. To our knowledge, this is the first report to accurately predict TVB‐N value for the evaluation of fish freshness using a fluorescent film sensor, showing great potential for real‐life applications.
Lack of a Clinically Meaningful Drug Interaction Between the HIV‐1 Antiretroviral Agents Islatravir, Dolutegravir, and Tenofovir Disoproxil Fumarate
Authors: Rudd Deanne Jackson , Zhang Saijuan , Fillgrove Kerry L. , Fox‐Bosetti Sabrina , Matthews Randolph P. , Friedman Evan , Armas Danielle , Stoch S. Aubrey , Iwamoto Marian 
Published: October 2021

AbstractIslatravir, an investigational nucleoside reverse transcriptase translocation inhibitor, is in clinical development for the treatment and prevention of HIV‐1 infection. Because islatravir may be coadministered with other antiretroviral agents, assessment of potential drug‐drug interactions are warranted. This phase 1, open‐label, fixed‐sequence, 2‐period trial in adults without HIV (N = 12) assessed the safety and pharmacokinetic interactions of islatravir administered with dolutegravir and tenofovir disoproxil fumarate (TDF). In period 1, participants received a single oral dose of islatravir (20 mg). In period 2, participants received oral doses of dolutegravir (50 mg) and TDF (300 mg) once daily on days 1 through 11, with a single oral dose of islatravir (20 mg) coadministered on day 8. There were no clinically significant changes in islatravir, dolutegravir, or TDF pharmacokinetics following coadministration. Islatravir was generally well tolerated when administered alone or in combination with dolutegravir and TDF. Coadministration of islatravir, dolutegravir, and TDF is supported, with no clinically meaningful effect on pharmacokinetics, safety, or tolerability in participants without HIV.
One‐Pot Underwater Plasma Synthesis and Characterization of Fe‐ and Ni‐Doped Boehmite
Authors: Khlyustova Anna , Sirotkin Nikolay , Titov Valery , Agafonov Alexander 
Published: October 2021

AbstractThis paper presents the one‐pot method for the synthesis and doping of boehmite by a reagent‐free method using the underwater plasma. Metal wires (Al, Fe, Ni) are used as sources of AlOOH and doping elements. The basic characterization tools have been used to determine the phase composition, particle size, morphology, and surface properties (X‐ray diffractions (XRD), X‐ray photoelectron spectroscopy (XPS) analysis, thermogravimetric analysis (TG), scanning electron microscopy (SEM), specific surface area). Varying the plasma parameters makes it possible to obtain either doped boehmite or systems of binary oxyhydroxides. The obtained materials are mesoporous, which are capable of removing the Cr(VI). The adsorption of chromium ions is studied as a function of concentration and reaction time. Fe‐doped boehmite and Al‐Fe oxyhydroxide system show high sorption activity concerning chromium ions (60–100 mg g−1). In contrast, materials based on Al‐Ni have shown low efficiency as sorbents.
Local embeddedness, and corporate social performance: The mediating role of social innovation orientation
Authors: Adomako Samuel , Tran Mai Dong 
Published: October 2021

AbstractDespite the growing research on corporate social performance (CSP), research is lacking regarding the impact of local embeddedness. This article investigates the impact of local embeddedness on CSP through the mediating mechanism of social innovation orientation. In addition, we examined the moderating role of competitive corporate social responsibility (CSR) implementation pressure. Results from 254 firms based in Ghana show that local embeddedness positively relates to social innovation orientation and this relationship is moderated by competitive CSR implementation pressure. Moreover, we found that the impact of local embeddedness on CSP is mediated by social innovation orientation. These findings extend the CSR literature by exploring the mechanism through which local embeddedness influences CSP.
Stakeholder engagement, military ties, and firm performance
Authors: Suriyapongprapai Thanakorn , Chatjuthamard Pattanaporn , Leemakdej Arnat , Treepongkaruna Sirimon 
Published: October 2021

AbstractCorporate social responsibility (CSR) and stakeholder engagement have become increasingly important in the global economy. Socially responsible firms take their engagement with stakeholders seriously. Yet, the military, a very important stakeholder in Thailand is rarely investigated. Motivated by this and the importance of CSR and stakeholder engagement, we explore whether and which channels of military ties influence firm performance in the Thai stock market. To alleviate potential endogeneity and omitted variables concerns, we adopt two stages of least square instrumental‐variable analysis. Consistent with resource dependency theory, we find military ties increase firm performance and the influence of military ties is much stronger during the military‐led government. In general market conditions, this relation is in fact driven by the indirect ties through the training of the National Defence College of Thailand (NDCT). However, during military‐led government, the ties through NDCT worsen firm performance while direct military ties increase firm performance.
Interfacial Kinetics Regulation of MoS2/Cu2Se Nanosheets toward Superior High‐Rate and Ultralong‐Lifespan Sodium‐Ion Half/Full Batteries
Authors: Wang Bo , Xue Jiang‐Yan , Li Fei‐Long , Geng Hongbo , Lang Jian‐Ping 
Published: October 2021

AbstractSodium‐ion batteries (SIBs) have aroused great attention because of the low cost and environmental benignity of sodium resources. However, practical applications of SIBs are plagued by the sluggish kinetics of sodium ions with large size in the host structure, which results in poor rate performance and rapid capacity decline. Herein, a self‐templated approach was developed to synthesize MoS2/Cu2Se nanosheets with improved interfacial electron‐ and ion‐transfer kinetics. The MoS2/Cu2Se nanosheets provided superior sodium storage performance, delivering 139 mAh g−1 at a high current density of 100 A g−1 and 222 mAh g−1 after 14000 cycles (at 20 A g−1). The outstanding electrochemical performance was attributed to the synergetic engineering of interface and structure, which could enhance the electrochemical kinetics and gave excellent mechanical properties to deal with the volume expansion phenomenon. Combined with a high‐voltage cathode, the full battery demonstrated a high energy density of 152 Wh kg−1 at a power density of 420 W kg−1, which opens a new avenue for the development of high‐performance SIBs.
Galactic swarm‐improved whale optimization algorithm‐based resource management in Internet of things
Authors: Karthick Subramani , Gomathi Nandagopal 
Published: October 2021

SummaryInternet of things (IoT) is the reliable alternative among the networking technologies for achieving high performance with improved potentialities of flexible adoptions, data exchanges, resource allocations, and system controls. The existing IoT suffers from the limitations of resource allocation ranging between complicated service provisioning environments and networking service quality mismatching. IoT environment needs to handle the resource allocation issue for attaining satisfactory degree of quality of experience (QoE) that maps multiple resources to gateways. This problem of mapping multiple resources to gateways belongs to the class of NP‐complete problem and can be ideally solved through intelligent metaheuristic algorithms. In this paper, galactic swarm‐improved whale optimization algorithm‐based resource management (GSIWOA‐RM) scheme is proposed for efficient mapping of multiple resources to gateways in IoT. It specifically utilizes galactic swarm optimization algorithm (GSOA) for establishing global control with inherited multiple adaptive cycles of exploitation and exploration during resource allocation. It further prevents the limitations of early convergence in the exploitation phase by utilizing the evolution‐based whale optimization algorithm (WOA) that aids in better balance between exploitation and exploration. The simulation results of the proposed GSIWOA‐RM scheme confirm a better throughput of 28.32% with minimized delay and energy consumptions of 19.24% and 21.82%, when compared to the baseline resource management schemes.
The impact of environmental federalism: An analysis of watershedeco‐compensationpolicy design in China
Authors: Teets Jessica C. , Gao Michael , Wysocki Mika , Ye Weiru 
Published: October 2021

AbstractScholars and policymakers debate whether centralized environmental governance improves protection. In China, in response to its environmental crisis, the government designed a centralized payment for ecosystems services (PES) policy to alter the costs and benefits for local stakeholders to protect the environment. This study analyses the impact of the 2014 centralization of environmental governance, focusing on the oldest eco‐compensation for watershed services (EWS) model in Zhejiang province. We find that the centralization of EWS led to increased ecosystem protection due to administrative and fiscal incentives; however, the policy faces challenges such as over‐centralization of EWS program development, transboundary negotiation processes, and inadequate monitoring systems that ultimately hinder effective implementation and future innovation. Based on our analysis, we recommend developing a hybrid model with enhanced monitoring by citizens and increasing local autonomy to tailor eco‐system payment programs to local needs. These reforms would improve the design of PES to achieve its promise to incentivize environmental protection.
Readmission after index hospital discharge among patients with COVID‐19: Protocol for a systematic review and meta‐analysis
Authors: AlSayegh Abdulwahab , Gassan Adnan A , Bajpai Ram C. , Muller Sara , Welsh Victoria , Kwok Chun Shing , Mallen Christian D. 
Published: October 2021

AbstractBackground and AimsHospital readmissions among COVID‐19 patients have increased the load on the healthcare systems and added more pressure to hospital capacity. This affects the ability to accommodate newly diagnosed COVID‐19 patients and other non‐COVID‐19 patients who require hospitalization. Therefore, this systematic review aims to understand the rates of and risk factors for hospital readmissions and all‐cause mortality among COVID‐19 patients who were hospitalized after being discharged following index hospitalization.MethodsOur systematic review protocol is registered with the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42021232324) and prepared in accordance with the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis Protocols (PRISMA‐P) 2015 statement. We will search MEDLINE (Ovid), EMBASE (Ovid), MedRxiv, Web of Science (Science Citation Index), ProQuest Coronavirus research database, Cochrane Covid‐19 study register, and WHO COVID‐19: Global literature on coronavirus disease will be identified from December 31, 2019, to May 31, 2021. Two investigators will independently screen titles and abstracts and select studies reporting hospital readmissions among COVID‐19 patients. Further, data extraction and risk of bias assessment will be carried out separately by these independent reviewers. We will extract data on demographics, readmissions, all‐cause mortality, emergency department visits, comorbidities, and factors associated with hospitalization among COVID‐19 patients. Random‐effect meta‐analysis will be performed if homogeneous groups of studies are found. The combined evidence will be further stratified according to important background characteristics if the data allow.DiscussionThis systematic review will summarize the available epidemiological evidence regarding rates of hospital readmissions, comorbidities, and related factors among COVID‐19 patients who were readmitted after index hospitalization. A better understanding of the relationship between patient profiles and the rate of hospitalization will be helpful in the development of guidelines for patient management.