bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of solar e-cookers social acceptance in Gaza Strip
Authors: El-Khozenadar Hala J. , Khatib Tamer , Attaee Besan , El-Khozondar Rifa J. 
Published: October 2022

AbstractThis study aims to assess the social acceptance of using solar energy based cooking appliances in Gaza Strip. A study sample that consists of 2400 employees from three local universities in Gaza strip is targeted in study. Meanwhile, 347 participations have participated in the study. This gives the conclusions of the study a margin of error of 5% and a confidence level of 95%. Different attributes are used to measure the social acceptance of the respondents of solar energy cooking systems including knowledge of using solar cooking appliances, financial situation, educational level, age, career and gender. According to the results, 94.55% of the participants believe that the best usage of solar energy is for lighting. Meanwhile, only 37.7% of the participants have supported the usage of solar energy for cooking. It is also concluded that there are no statistical significant differences in using solar energy for cooking associated with gender and job status. Meanwhile, it is found that there is statistical significance of using solar energy for cooking associated with education and age. This shows a clear behavioral barrier for the usage of solar energy cooking systems in Gaza Strip. According to this research it is concluded that end-users with middle income put quality of life first before the technology cost (affordable costs). This conclusion is regardless the educational level of the respondents. Moreover, it is found that Funding schemes and loans are key issues in spreading the e-cooking. Finally it is concluded that noticed support of using solar energy in Gaza according to this research is directly associated with energy poverty status in Gaza. Meanwhile, the idea of using green alternative energy is very acceptable in Gaza but there is a clear lack of awareness of technologies aspects and characteristics.
Origin of contact polarity at metal-2D transition metal dichalcogenide interfaces
Authors: Noori Keian , Xuan Fengyuan , Quek Su Ying 
Published: October 2022

AbstractUsing state-of-the-art ab initio GW many-body perturbation theory calculations, we show that monolayer MoS2 on Au is a p-type contact, in contrast to the vast majority of theoretical predictions using density functional theory. The predominantly n-type behaviour observed experimentally for MoS2/Au junctions can be attributed to the presence of sulfur vacancies, which pin the Fermi level. GW calculations on WSe2/Au junctions likewise predict p-type contacts for pristine WSe2 and n-type contacts for junctions with selenium vacancies. Experimentally, WSe2/metal junctions are predominantly p-type or ambipolar, with p-type junctions being observed for selenium-deficient WSe2, suggesting that selenium vacancies are not effective in pinning the Fermi level for WSe2/metal junctions. We rationalize these apparently contradictory results by noting that selenium vacancies in WSe2 are readily passivated by oxygen atoms. Taken together, our state-of-the-art calculations clearly elucidate the relation between contact polarity and atomic structure. We show that non-local exchange and correlation effects are critical for determining the energy level alignment and even the contact polarity (in the case of MoS2 on Au). We further reconcile a large body of experimental literature on TMDC/metal contact polarities by consideration of the defect chemistry.
Design of an open-shell nitrogen-centered diradicaloid with tunable stimuli-responsive electronic properties
Authors: Huang Bin , Kang Hao , Zhang Chang-Wei , Zhao Xiao-Li , Shi Xueliang , Yang Hai-Bo 
Published: October 2022

AbstractOrganic diradicaloids usually display an open-shell singlet ground state with significant singlet diradical character (y0) which endow them with intriguing physiochemical properties and wide applications. In this study, we present the design of an open-shell nitrogen-centered diradicaloid which can reversibly respond to multiple stimuli and display the tunable diradical character and chemo-physical properties. 1a was successfully synthesized through a simple and high-yielding two-step synthetic strategy. Both experimental and calculated results indicated that 1a displayed an open-shell singlet ground state with small singlet-triplet energy gap (ΔES−T = −2.311 kcal mol−1) and a modest diradical character (y0 = 0.60). Interestingly, 1a was demonstrated to undergo reversible Lewis acid-base reaction to form acid-base adducts, which was proven to effectively tune the ground-state electronic structures of 1a as well as its diradical character and spin density distributions. Based on this, we succeeded in devising a photoresponsive system based on 1a and a commercially available photoacid merocyanine (MEH). We believe that our studies including the molecular design methodology and the stimuli-responsive organic diradicaloid system will open up a new way to develop organic diradicaloids with tunable properties and even intelligent-responsive diradicaloid-based materials.
Long-term life history predicts current gut microbiome in a population-based cohort study
Authors: Si Jiyeon , Vázquez-Castellanos Jorge F. , Gregory Ann C. , Decommer Lindsey , Rymenans Leen , Proost Sebastian , Centelles Lodeiro Javier , Weger Martin , Notdurfter Marlene , Leitner Christoph , Santer Peter , Rungger Gregorio , Willeit Johann , Willeit Peter , Pechlaner Raimund , Grabherr Felix , Kiechl Stefan , Tilg Herbert , Raes Jeroen 
Published: October 2022

AbstractExtensive scientific and clinical microbiome studies have explored contemporary variation and dynamics of the gut microbiome in human health and disease1–3, yet the role of long-term life history effects has been underinvestigated. Here, we analyzed the current, quantitative microbiome composition in the older adult Bruneck Study cohort (Italians, Bruneck,n = 304 (male, 154; female, 150); age 65–98 years) with extensive clinical, demographic, lifestyle and nutritional data collected over the past 26 years4. Multivariate analysis of historical variables indicated that medication history, historical physical activity, past dietary habits and specific past laboratory blood parameters explain a significant fraction of current quantitative microbiome variation in older adults, enlarging the explanatory power of contemporary covariates by 33.4%. Prediction of current enterotype by a combination of past and contemporary host variables revealed good levels of predictability (area under the curve (AUC), 0.78–0.83), withPrevotellaand dysbioticBacteroides2 being the best predicted enterotypes. These findings demonstrate long-term life history effects on the microbiota and provide insights into lifestyle variables and their role in maintaining a healthy gut microbiota in later life.
Measuring muscle protein synthesis in humans and the influence of nutritional state
Authors: Calder Philip C. , Deutz Nicolaas E.P. 
Published: October 2022

Abstract
In 1982 and 2011, Clinical Science published papers that used infusion of stable isotope-labeled amino acids to assess skeletal muscle protein synthesis in the fasted and fed state and before and after a period of increased intake of omega-3 fatty acids, respectively; both of these papers have been highly cited. An overview of the study designs, key findings and novel features, and a consideration of the lasting impact of these two papers is presented.
The earlier paper introduced stable isotope tracer approaches in humans that showed consuming a meal will increase whole body oxidation, synthesis, and breakdown of protein, but that protein synthesis is greater than breakdown resulting in net accumulation of protein. The paper also demonstrated that consuming a meal promotes net protein synthesis in skeletal muscle.
The later paper introduced the concept that omega-3 polyunsaturated fatty acids are able to improve anabolism by reporting that 8 weeks consumption of high-dose omega-3 fatty acids by healthy young and middle-aged adults increased skeletal muscle protein synthesis during a hyperaminoacidemic–hyperinsulinemic clamp compared with what was seen during the clamp at study entry. Omega-3 fatty acids also increased the phosphorylation of important signaling proteins in muscle, including mammalian target of rapamycin, p70s6k, and Akt, during the clamp.
These two papers remain relevant because they offer experimental approaches to study human (patho)physiology in different contexts, they present novel insights into the impact of nutritional state (feeding) and specific nutrients (omega-3 fatty acids) on muscle protein synthesis, and they suggest ways to explore the potential of interventions to help prevent and reverse the age-, disease-, and disuse-associated decline in muscle mass.
Recent developments in stimuli‐responsive hydrogels for biomedical applications
Authors: Liu Shuyun , Li Xiaozhuang , Han Lu 
Published: October 2022

AbstractHydrogels exhibit a performance similar to that of the extracellular matrix and are compatible with human tissues and organs. Stimuli‐responsive hydrogels that can respond smartly to a variety of stimuli have recently attracted extensive interest for biomedical applications. The response of these hydrogels to various single/multiple stimuli shows great potential for drug delivery, biosensors, wound dressing, cancer therapy, and tissue engineering. This review summarises the recent advances in the design of different stimuli‐responsive hydrogels and their biomedical applications. We herein describe the mechanisms underlying the stimulus–response, and summarise the strategies for fabricating stimuli‐responsive hydrogels that can respond to single or multiple stimuli from endogenous (i.e. pH, enzymes, glucose, and reactive oxygen species) or exogenous (i.e. magnetic and electric fields, temperature, and photo) sources. The current challenges faced by stimuli‐responsive hydrogels are discussed and an outlook on future research directions is provided.
Learning‐based distributed adaptive control of heterogeneous multi‐agent systems with unknown leader dynamics
Authors: Mei Di , Sun Jian , Dou Lihua , Xu Yong 
Published: October 2022

AbstractThis study focuses on the distributed adaptive tracking control of heterogeneous multi‐agent systems with unknown leader dynamics in a directed graph. In contrast to the reported leader‐following consensus studies, the prior knowledge of the leader is supposed to be cognised to some or all of followers, the situation that the leader's dynamics is totally unrecognised but can be learnt for each individual follower is considered. A data‐driven learning algorithm using the systems data is developed to reconstruct the unknown systems matrix. Then, an adaptive distributed dynamic compensator is exploited to provide the leader's state estimation in a directed graph. Afterwards, a dynamic output feedback control law for each agent is projected. Theoretical analysis shows that the proposed algorithms not only ensure that all followers can identify the unknown system matrix, but also guarantee that the distributed output leader‐following consensus control with heterogeneous dynamics is achieved without any global information. Finally, a numerical example is provided to testify the proposed algorithms.
Data‐driven sensor fault detection and isolation of nonlinear systems: Deep neural‐network Koopman operator
Authors: Bakhtiaridoust Mohammadhosein , Irani Fatemeh Negar , Yadegar Meysam , Meskin Nader 
Published: October 2022

AbstractThis paper proposes a data‐driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis functions for the Koopman operator to form a linear predictor for a nonlinear system. Then, the obtained Koopman predictor has been used in a geometric framework for sensor fault detection and isolation purposes without relying on a priori knowledge about the underlying dynamics as well as requiring faulty data, leading to a data‐driven sensor fault detection and isolation framework for nonlinear systems. Finally, the approach's efficacy is demonstrated using simulation case study on a two‐degree of freedom robot arm.
Received signal strength indicator‐based set‐membership filtering indoor localization under multipath effect
Authors: Yang Bo , Dong Rongrong , Shang Junqiang , Liu Yadong 
Published: October 2022

AbstractThe indoor moving target localization based on the received signal strength indicator is studied in this paper. By introducing filtering algorithms, a novel dynamic parameters set‐membership filtering (DPSMF) is proposed to reduce the interference of the multipath effect and noises. First, the higher‐order remainder is included in the bounded range based on the interval mathematics method to improve the linearization accuracy of the Taylor series expansion of the measurement function. Second, the parameters to be determined in the channel model are set to local dynamic parameters, which are obtained by solving a particular semi‐definite programming problem. Third, the optimized localization estimations of the target node at each sampling instant and the ellipsoid set containing the real state of the system are obtained based on the DPSMF. Finally, an example is given to verify the effectiveness of the proposed DPSMF algorithm.
An augmented two‐phase method for spread sampling
Authors: Lu Jie , Chen Hongchang , Zhang Zhen , Zhang Jianpeng , Zhang Zheng 
Published: October 2022

AbstractSampling is widely used to handle the mismatch between the line rate and the processing throughput of a traffic measurement module. Spread sampling, which only samples the elements in each flow when they appear for the first time and ignores them for subsequent appearances, is required for flow‐spread measurement. The previous works on spread sampling suffer from poor accuracy and slow speed. In this paper, the authors proposed an augmented two‐phase method with fast speed and low error to achieve spread sampling in that each distinct element is sampled with a predefined probability only at the first occurrence. The experiment results based on real Internet traffic traces show that our method achieves a smaller sampling error and a high line rate.
The role of teacher patience in the implementation of assessment for learning (AfL): Vignettes from a writing classroom
Authors: Zhang Xiaodong 
Published: October 2022

AbstractThis article discusses a qualitative case study on the role of teacher patience in teachers’ implementation of assessment for learning (AfL). The study was conducted in a Chinese university English writing classroom. Data were collected throughout the semester and included the teacher’s reflections and assessment practices, the reflections and interview excerpts of 18 students, and field notes. The study found that teacher patience emerged at times when students failed to meet the teacher’s expectations, and actively conditioned and fortified the teacher’s implementation of AfL. However, in interacting with contextual variables inside and outside the classroom, teacher patience also demonstrated its dynamic features, waning and then recovering, with its mitigated power passively sustaining the teacher’s AfL. This study affirms the importance and acknowledges the complex fluctuation of teacher patience in sustaining AfL. Therefore, it is suggested that training in patience be made a part of teacher education programs so that student teachers could develop the patience needed to grapple with the complexity of teaching during assessment practices and in other teaching settings.
Potential dependence of OER/EOP performance on heteroatom-doped carbon materials by grand canonical density functional theory
Authors: Feng Ge , Li Wenwen , Liu Jia , Zhong Xing , Yao Zihao , Deng Shengwei , Zhang Wenan , Wang Shibin , Wang Jianguo 
Published: October 2022

Revealing the effect of external applied potential on the reaction mechanism and product selectivity is of great significance in electrochemical studies. In this work, the grand canonical density functional theory method was applied to simulate the explicit electrocatalytic process of oxygen evolution reaction and electrochemical ozone production due to the O3 product sensitivity toward the applied potential. Over the Pt/Pd single atom embedded on B/N co-doped graphene (Pt/Pd-BNC) surface, crossover points of O2/O3 selectivity inversion were predicted to be 1.33 and 0.89 V vs standard hydrogen electrode, which were also consistent with the previous experimental results. An in-depth analysis of the energetic terms in the reaction free energies also found the considerable impact of the applied potential on the Helmholtz free energy term, with optimal potential predicted for the key elementary steps, and linear correlations between electrode potential (U) and reaction free energy were found for each elementary step. This study offers extensive knowledge on the potential effect on the O2/O3 selective formation on two-dimensional anode surfaces and provides new insights for investigating the reactivity/selectivity on electrode surfaces in real reaction conditions.
Improved torque estimator for condensed-phase quasicentroid molecular dynamics
Authors: Trenins George , Haggard Christopher , Althorpe Stuart C. 
Published: October 2022

We describe improvements to the quasicentroid molecular dynamics (QCMD) path-integral method, which was developed recently for computing the infrared spectra of condensed-phase systems. The main development is an improved estimator for the intermolecular torque on the quasicentroid. When applied to qTIP4P/F liquid water and ice, the new estimator is found to remove an artificial 25 cm−1 red shift from the libration bands, to increase slightly the intensity of the OH stretch band in the liquid, and to reduce small errors noted previously in the QCMD radial distribution functions. We also modify the mass-scaling used in the adiabatic QCMD algorithm, which allows the molecular dynamics timestep to be quadrupled, thus reducing the expense of a QCMD calculation to twice that of Cartesian centroid molecular dynamics for qTIP4P/F liquid water at 300 K, and eight times for ice at 150 K.
Fortifying the financial and environmental capital banks in commercially grazed rangelands
Authors: Walsh D. , Holmes P. R. 
Published: October 2022

Commercial rangeland livestock producers manage a perpetual conflict. They must ensure that the financial and environmental elements of rangeland grazing remain concurrently robust, with neither borrowing excessively from the other. Successfully managing this financial and environmental tension requires sound financial literacy as it applies to pastoralism, an above-average knowledge of rangeland ecology, and intellectual and practical management skills. Achieving these competencies is the starting point for a truly sustainable rangeland grazing business. The degree to which these competencies are achieved is largely under the control of the people who manage the business. However, there are significant external influences that can impede progress towards better financial and environmental outcomes. In this paper, we draw upon more than 50 years of combined professional experience to present our definitions for financial and environmental sustainability, as they pertain to northern Australian grazing enterprises. We summarise what is currently known about the financial and environmental performance of the northern Australian beef industry, and highlight some of the current external factors that are potentially antagonistic to achieving sustainable livestock production. We conclude with a protocol that our most successful clients have used to achieve (and demonstrate) financial and environmental sustainability.
Putting it into context
Authors: Mister Bianca , Chen Honglin , Baker Amanda 
Published: October 2022

AbstractDeveloping L2 learners’ productive mastery of vocabulary is a challenging task. Recent research has called for greater attention to understanding how receptive vocabulary may be transformed for productive use (Schmitt, 2019). Using a design-based research methodology, this study investigated adult ESL learners’ productive oral vocabulary development through engaging them in a series of classroom workshops where they were exposed to nine target words in five different contexts. Findings suggest that such exposure to words combined with phonological form-focused elaboration facilitates the development of metalinguistic awareness, specifically the associations between grammatical patterns and word meaning, leading to subsequent productive use of target words. The paper contributes to the understanding that vocabulary training combining a focus on meaning with a focus on phonological and grammatical form may enhance form-meaning mapping, leading to productive oral vocabulary development.
Elucidation of electric characteristics for P and N type polycrystalline silicon vertical thin film transistors
Authors: Zhang Peng , Jacques Emmanuel , Rogel Régis , Pichon Laurent , Bonnaud Olivier 
Published: October 2022

Abstract
P and N type polycrystalline silicon has been applied in thin film transistors (TFTs) for driving a range of displays, and for building up complementary metal oxide semiconductor (CMOS)-like circuits. In one aspect, the high driving current is required, which is usually achieved by improving field effect mobility of the active layer. For another, balanced electrical characteristics are required for achieving CMOS-like logic circuits. In this article, in order to increase driving current, P and N type polycrystalline silicon vertical TFTs configuration is proposed that can get rid of the strict requirement of the field effect mobility in order to increase the driving current. In addition, the balanced electrical properties are demonstrated for P and N type vertical TFTs, which are elucidated by the density of states calculations. The simple Simulation Program with Integrated Circuit Emphasis (SPICE) modelling indicates the potential application in CMOS inverter based on our vertical TFTs.
α-graphyne as a promising anode material for Na-ion batteries: a first-principles study
Authors: Singh Tavinder , Choudhuri Jyoti Roy , Rana Malay Kumar 
Published: October 2022

Abstract
Lithium-ion batteries (LIBs) have emerged as a technological game-changer. Due to the rising price of lithium and the environmental concerns LIBs pose, their use is no longer viable. Sodium (Na) may be the best contender among the alternatives for replacing lithium. Conventional graphite has a limited capacity for Na storage. Hence, α-graphyne, an allotrope of carbon, was studied here as a potential anode material for Na-ion batteries (NIBs), employing density functional theory. In-plane Na atom adsorption results in a semi-metallic to metallic transition of α-graphyne. Electronic transport calculations show an increase in current after Na adsorption in graphyne. The successive adsorption of Na atoms on the surface of graphyne leads to a theoretical capacity of 1395.89 mA h g−1, which is much greater than graphite. The average open circuit voltage is 0.81 V, which is an ideal operating voltage for NIBs. Intra- and inter-hexagon Na diffusions have very low energy barriers of 0.18 eV and 0.96 eV, respectively, which ensure smooth operation during charge/discharge cycles. According to this study, the α-graphyne monolayer thus has the potential to be employed as an anode in NIBs.